From 1bd6cafbf8556076e8b1c96c628d0bb157c943c7 Mon Sep 17 00:00:00 2001 From: realxinzhao Date: Sat, 15 Jun 2024 01:56:42 -0400 Subject: [PATCH] Continue the restructure Remove GCAM info in primary eq. --- ... xfaostat_L101_RawDataPreProc4_FBSH_CBH.R} | 8 +- R/xfaostat_L105_DataConnectionToSUA.R | 6 +- R/xfaostat_L106_FoodMacroNutrient.R | 12 +- R/yextension_L100_FoodBalanceSheet.R | 286 +++--- inst/extdata/FAOSTAT/MAPPING_FAO_FBS_SUA.csv | 2 +- inst/extdata/FAOSTAT/Mapping_FAO_iso_reg.csv | 269 ++++++ .../FAOSTAT/Mapping_SUA_PrimaryEquivalent.csv | 716 +++++++-------- inst/extdata/FAOSTAT/SUA_item_code_map.csv | 545 +++++++++++ .../extdata/GCAM/common/FAO_GDP_Deflators.csv | 425 +++++---- yextension_L100_FoodBalanceSheet.R | 862 ++++++++++++++++++ 10 files changed, 2381 insertions(+), 750 deletions(-) rename R/{xfaostat_L101_RawDataPreProc4_FBSH_CB.R => xfaostat_L101_RawDataPreProc4_FBSH_CBH.R} (96%) create mode 100644 inst/extdata/FAOSTAT/Mapping_FAO_iso_reg.csv create mode 100644 inst/extdata/FAOSTAT/SUA_item_code_map.csv create mode 100644 yextension_L100_FoodBalanceSheet.R diff --git a/R/xfaostat_L101_RawDataPreProc4_FBSH_CB.R b/R/xfaostat_L101_RawDataPreProc4_FBSH_CBH.R similarity index 96% rename from R/xfaostat_L101_RawDataPreProc4_FBSH_CB.R rename to R/xfaostat_L101_RawDataPreProc4_FBSH_CBH.R index c924e0a22..a74ea0221 100644 --- a/R/xfaostat_L101_RawDataPreProc4_FBSH_CB.R +++ b/R/xfaostat_L101_RawDataPreProc4_FBSH_CBH.R @@ -1,8 +1,8 @@ # Copyright 2019 Battelle Memorial Institute; see the LICENSE file. -#' module_xfaostat_L101_RawDataPreProc4_FBSH_CB +#' module_xfaostat_L101_RawDataPreProc4_FBSH_CBH #' -#' Preprocess raw faostat data part 4 FBSH and CB +#' Preprocess raw faostat data part 4 FBSH and CBH #' #' @param command API command to execute #' @param ... other optional parameters, depending on command @@ -15,7 +15,7 @@ #' @importFrom tibble tibble #' @importFrom tidyr complete drop_na gather nesting spread replace_na #' @author XZ 2023 -module_xfaostat_L101_RawDataPreProc4_FBSH_CB <- function(command, ...) { +module_xfaostat_L101_RawDataPreProc4_FBSH_CBH <- function(command, ...) { MODULE_INPUTS <- c(FAOSTAT_FILE = file.path(DIR_RAW_DATA_FAOSTAT, "FoodBalanceSheetsHistoric_E_All_Data_Normalized"), @@ -106,7 +106,7 @@ module_xfaostat_L101_RawDataPreProc4_FBSH_CB <- function(command, ...) { unit = "1000 tonnes") -> CBH1 # convert to Kton - ## *FBSH_CB merge the two---- + ## *FBSH_CBH merge the two---- # load processed data FBSH1 %>% distinct(item_code) %>% diff --git a/R/xfaostat_L105_DataConnectionToSUA.R b/R/xfaostat_L105_DataConnectionToSUA.R index 1418f07a3..f6f4cdb62 100644 --- a/R/xfaostat_L105_DataConnectionToSUA.R +++ b/R/xfaostat_L105_DataConnectionToSUA.R @@ -64,7 +64,7 @@ module_xfaostat_L105_DataConnectionToSUA <- function(command, ...) { FBSH_CBH_wide %>% gather_years() %>% filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% - FAOSTAT_AREA_RM_NONEXIST() -> FBSH_CB + FAOSTAT_AREA_RM_NONEXIST() -> FBSH_CBH TCL_wide %>% gather_years() %>% filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% @@ -160,7 +160,7 @@ module_xfaostat_L105_DataConnectionToSUA <- function(command, ...) { # Merge Sudan regions to be consistent with data # Mainly for storage data concerns # And only keep data > min(FAOSTAT_Hist_Year_FBS) - for (.DF in c("SCL", "TCL_TM", "TCL_gross", "FBSH_CB", "FBS", "QCL_PROD")) { + for (.DF in c("SCL", "TCL_TM", "TCL_gross", "FBSH_CBH", "FBS", "QCL_PROD")) { get(.DF) %>% filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% # merge Sudan and South Sudan FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL(SUDAN2012_MERGE = T) %>% @@ -645,7 +645,7 @@ module_xfaostat_L105_DataConnectionToSUA <- function(command, ...) { assert_FBS_balance(.DF = Bal_new_all) - rm(TCL_gross, TCL_TM, SCL, FBS, FBSH_CB, FAO_items) + rm(TCL_gross, TCL_TM, SCL, FBS, FBSH_CBH, FAO_items) rm(list = ls(pattern = "Bal_new_tier*")) diff --git a/R/xfaostat_L106_FoodMacroNutrient.R b/R/xfaostat_L106_FoodMacroNutrient.R index 4443e0f15..aca1a8f5d 100644 --- a/R/xfaostat_L106_FoodMacroNutrient.R +++ b/R/xfaostat_L106_FoodMacroNutrient.R @@ -22,7 +22,7 @@ module_xfaostat_L106_FoodMacroNutrient <- function(command, ...) { "FBS_wide", "OA", FILE = file.path(DIR_RAW_DATA_FAOSTAT, "FAO_an_items_cal_SUA"), - FILE = file.path(DIR_RAW_DATA_FAOSTAT, "MAPPING_FAO_FBS_SUA")) + FILE = file.path(DIR_RAW_DATA_FAOSTAT, "Mapping_FAO_FBS_SUA")) MODULE_OUTPUTS <- c("SUA_food_macronutrient_rate") @@ -39,7 +39,7 @@ module_xfaostat_L106_FoodMacroNutrient <- function(command, ...) { value_world <- value_reg <- Diff <- p_Diff <- quantile <- `Food supply quantity (kg/capita/yr)` <- `Protein supply quantity (g/capita/day)` <- `Fat supply quantity (g/capita/day)` <- FAO_an_items_cal_SUA <- Mcal_t <- fat_Perc <- protein_Perc <- FAO_FBS_code <- - SCL_item_code <- CPC_code <- MAPPING_FAO_FBS_SUA <- unit <- element <- + SCL_item_code <- CPC_code <- Mapping_FAO_FBS_SUA <- unit <- element <- area_code <- item_code <- element_code <- OA <- FBS_wide <- SCL_wide <- `Food supply (kcal/capita/day)` <- NULL @@ -125,7 +125,7 @@ module_xfaostat_L106_FoodMacroNutrient <- function(command, ...) { #******************************************* SCL %>% filter(element_code %in% c(261, 271, 281, 5141)) %>% #All 3 cal protein fats and food in ton - right_join(MAPPING_FAO_FBS_SUA %>% + right_join(Mapping_FAO_FBS_SUA %>% filter(!is.na(CPC_code)) %>% select(item_code = SCL_item_code, FAO_FBS_code, FBS_label), by = "item_code") %>% @@ -197,7 +197,7 @@ module_xfaostat_L106_FoodMacroNutrient <- function(command, ...) { #******************************************* # Adding the 12 fish item from FBS - MAPPING_FAO_FBS_SUA %>% filter(is.na(CPC_code)) %>% + Mapping_FAO_FBS_SUA %>% filter(is.na(CPC_code)) %>% select(item = FBS_label, item_code = FAO_FBS_code) -> Fish_item FBS %>% right_join(Fish_item, by = c("item_code", "item")) -> FBS_fish @@ -245,7 +245,7 @@ module_xfaostat_L106_FoodMacroNutrient <- function(command, ...) { rm(SUA_food_macronutrient, SUA_food_yearmean, SUA_food_yearmean_fill, SUA_food_yearareamean, - OA, POP, SCL, FBS, MAPPING_FAO_FBS_SUA, + OA, POP, SCL, FBS, Mapping_FAO_FBS_SUA, SUA_food_macronutrient_rate_nofish, FAO_an_items_cal_SUA) rm(Fish_item) rm(checkarea, checkitem, checkelement) @@ -260,7 +260,7 @@ module_xfaostat_L106_FoodMacroNutrient <- function(command, ...) { "FBS_wide", "OA", file.path(DIR_RAW_DATA_FAOSTAT, "FAO_an_items_cal_SUA"), - file.path(DIR_RAW_DATA_FAOSTAT, "MAPPING_FAO_FBS_SUA")) -> + file.path(DIR_RAW_DATA_FAOSTAT, "Mapping_FAO_FBS_SUA")) -> SUA_food_macronutrient_rate # P.S. ---- diff --git a/R/yextension_L100_FoodBalanceSheet.R b/R/yextension_L100_FoodBalanceSheet.R index 6e8cd9028..2d75cc2cb 100644 --- a/R/yextension_L100_FoodBalanceSheet.R +++ b/R/yextension_L100_FoodBalanceSheet.R @@ -7,7 +7,7 @@ #' @param command API command to execute #' @param ... other optional parameters, depending on command #' @return Depends on \code{command}: either a vector of required inputs, a vector of output names, or (if -#' \code{command} is "MAKE") all the generated outputs: \code{FAO_Food_Macronutrient_All_2010_2019}, +#' \code{command} is "MAKE") all the generated outputs: \code{FAO_Food_Macronutrient_All}, #' \code{FAO_Food_MacronutrientRate_2010_2019_MaxValue} #' @details This chunk aggregates supply utilization accounts into food balance sheet items #' @importFrom assertthat assert_that @@ -19,19 +19,19 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { MODULE_INPUTS <- - c(FILE = "GCAM/aglu/AGLU_ctry", - FILE = "GCAM/common/iso_GCAM_regID", - FILE = "GCAM/common/GCAM_region_names", - FILE = "GCAM/aglu/FAO/GCAMFAOSTAT_SUA", - FILE = "GCAM/aglu/FAO/GCAMFAOSTAT_BiTrade", - FILE = "GCAM/aglu/FAO/Mapping_SUA_PrimaryEquivalent", - FILE = "GCAM/aglu/FAO/SUA_item_code_map", - FILE = "GCAM/aglu/FAO/GCAMFAOSTAT_NonFodderProdArea", - FILE = "GCAM/aglu/FAO/GCAMFAOSTAT_MacroNutrientRate") + c("FBS_wide", + "TM_bilateral_wide", + "Bal_new_all", + "QCL_CROP_PRIMARY", + "QCL_PROD", + "SUA_food_macronutrient_rate", + FILE = file.path(DIR_RAW_DATA_FAOSTAT, "Mapping_SUA_PrimaryEquivalent"), + FILE = file.path(DIR_RAW_DATA_FAOSTAT, "SUA_item_code_map"), + FILE = file.path(DIR_RAW_DATA_FAOSTAT, "Mapping_FAO_iso_reg") ) MODULE_OUTPUTS <- - c("FAO_Food_Macronutrient_All_2010_2019", - "FAO_Food_MacronutrientRate_2010_2019_MaxValue") + c("GCAM_APE_after2010", + "FAO_Food_Macronutrient_All") if(command == driver.DECLARE_INPUTS) { return(MODULE_INPUTS) @@ -41,10 +41,74 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { all_data <- list(...)[[1]] + Curr_Envir <- environment() + # Load required inputs ---- get_data_list(all_data, MODULE_INPUTS, strip_attributes = TRUE) + for (.DF in c("QCL_CROP_PRIMARY", "QCL_PROD")) { + get(.DF) %>% + # merge Sudan and South Sudan + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL(SUDAN2012_MERGE = T) %>% + assign(x = .DF, envir = Curr_Envir) + } + + ## *NonFodderProdArea ---- + QCL_CROP_PRIMARY %>% + filter(element == "Area harvested") %>% + mutate(item_set = "QCL_COMM_CROP_PRIMARY") %>% + bind_rows(QCL_PROD %>% + filter(!is.na(year))) %>% + select(-element_code) %>% + mutate(value = value / 1000, + unit = if_else(unit == "tonnes", "1000 tonnes", "1000 ha")) %>% + spread(year, value) -> + GCAMFAOSTAT_NonFodderProdArea + + + + TM_bilateral_wide %>% + gather_years() %>% + filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + filter(value > 0) %>% + FAOSTAT_AREA_RM_NONEXIST() %>% + rename(area_code1 = area_code, area_code = source_code) %>% + FAOSTAT_AREA_RM_NONEXIST() %>% + rename(source_code = area_code, area_code = area_code1) -> + TM_bilateral + + TM_bilateral %>% + mutate(value = value / 1000) %>% # change unit to 1000 tonnes + # only export quality data years + filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL(SUDAN2012_MERGE = T) %>% + # merge Sudan and South Sudan + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL( + .FAO_AREA_CODE_COL = "source_code", + .AREA_COL = "source", + SUDAN2012_MERGE = T + ) %>% + filter(value != 0.0) %>% + transmute(area_code, item_code, source_code, year, value) -> + GCAMFAOSTAT_BiTrade + + Bal_new_all %>% filter(value != 0.0) %>% + transmute(area_code, item_code, element, year, value) -> + GCAMFAOSTAT_SUA + + SUA_food_macronutrient_rate -> GCAMFAOSTAT_MacroNutrientRate + + # Fix Sudan with code 206 and 276 after 2012 + if (206 %in% GCAMFAOSTAT_MacroNutrientRate$area_code == F) { + GCAMFAOSTAT_MacroNutrientRate %>% + filter(area_code == 276) %>% mutate(area_code = 206) %>% + bind_rows(GCAMFAOSTAT_MacroNutrientRate) -> + GCAMFAOSTAT_MacroNutrientRate + } + + + # Get Supply-utilization account (SUA) elements and use as factor All_Bal_element <- levels(GCAMFAOSTAT_SUA$element) @@ -71,35 +135,28 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { # create a complete area / iso / GCAM region mapping GCAMFAOSTAT_NonFodderProdArea %>% - select(area_code, area) %>% - distinct() %>% - left_join_error_no_match(AGLU_ctry %>% distinct(area_code = FAO_country_code, iso), by = c("area_code")) %>% - left_join_error_no_match(iso_GCAM_regID %>% select(iso, GCAM_region_ID), by = "iso") %>% - left_join_error_no_match(GCAM_region_names, by = "GCAM_region_ID") -> + distinct(area_code, area) %>% + left_join_error_no_match(Mapping_FAO_iso_reg %>% distinct(area_code, iso, region_ID), by = c("area_code")) -> Area_Region_Map - # All regions - #Area_Region_Map %>% mutate(GCAM_region_ID = if_else(GCAM_region_ID %in% c(1, 11), GCAM_region_ID, 111)) %>% select(-region) -> Area_Region_Map - Area_Region_Map %>% mutate(GCAM_region_ID = area_code) -> Area_Region_Map - # 1.1 Regional aggregation for SUA ---- # Aggregate SUA to GCAM regions # Intra regional trade is removed when bilateral trade data is available GCAMFAOSTAT_SUA %>% - left_join_error_no_match(Area_Region_Map %>% select(area_code, GCAM_region_ID), by="area_code") %>% - group_by(GCAM_region_ID, item_code, element, year) %>% + left_join_error_no_match(Area_Region_Map %>% select(area_code, region_ID), by="area_code") %>% + group_by(region_ID, item_code, element, year) %>% summarize(value = sum(value), .groups = "drop") %>% ungroup() -> DF_SUA_Agg # Calculate intra regional trade GCAMFAOSTAT_BiTrade %>% - left_join_error_no_match(Area_Region_Map %>% select(area_code, GCAM_region_ID), by="area_code") %>% - left_join_error_no_match(Area_Region_Map %>% select(source_code = area_code, source_GCAM_region_ID = GCAM_region_ID), by="source_code") %>% - filter(GCAM_region_ID == source_GCAM_region_ID) %>% - group_by(GCAM_region_ID, item_code, year) %>% + left_join_error_no_match(Area_Region_Map %>% select(area_code, region_ID), by="area_code") %>% + left_join_error_no_match(Area_Region_Map %>% select(source_code = area_code, source_region_ID = region_ID), by="source_code") %>% + filter(region_ID == source_region_ID) %>% + group_by(region_ID, item_code, year) %>% summarize(value = sum(value), .groups = "drop") %>% ungroup() %>% mutate(value = -value) -> @@ -112,9 +169,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { bind_rows(DF_INTRA_REG_TRADE %>% mutate(element = All_Bal_element[All_Bal_element == "Export"]), DF_INTRA_REG_TRADE %>% mutate(element = All_Bal_element[All_Bal_element == "Import"])) %>% rename(TCL = value) %>% - right_join(DF_SUA_Agg, by = c("GCAM_region_ID", "item_code", "year", "element")) %>% - # equivalent to - #left_join(DF_SUA_Agg, ., by=c("GCAM_region_ID", "item_code", "year", "element")) %>% + right_join(DF_SUA_Agg, by = c("region_ID", "item_code", "year", "element")) %>% mutate(value = if_else(is.na(TCL), value, value + TCL)) %>% select(-TCL) %>% filter(value != 0.0) -> @@ -135,7 +190,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { bind_rows(GrossTradeRM %>% mutate(element = All_Bal_element[All_Bal_element == "Export"]), GrossTradeRM %>% mutate(element = All_Bal_element[All_Bal_element == "Import"]), DF_SUA_Agg_TradeAdj) %>% - group_by(GCAM_region_ID, item_code, element, year) %>% + group_by(region_ID, item_code, element, year) %>% summarize(value = sum(value), .groups = "drop") %>% ungroup() -> FAO_SUA_Kt_2010to2019_R @@ -200,7 +255,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { dplyr::group_by_at(vars(-item_code, -value)) %>% summarize(value=sum(value), .groups = "drop") %>% ungroup() %>% - complete(GCAM_region_ID = unique(Area_Region_Map$GCAM_region_ID), nesting(element, year, APE_comm), fill=list(value=0)) %>% + complete(region_ID = unique(Area_Region_Map$region_ID), nesting(element, year, APE_comm), fill=list(value=0)) %>% spread(element, value, fill = 0.0) %>% left_join_error_no_match(MIN_EXTRACTION_RATE, by=c("APE_comm")) %>% group_by(APE_comm, year) %>% @@ -219,11 +274,11 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { # both processed and production > 0 positive_prod = Production > 0 & Processed > 0) %>% ungroup() %>% - group_by(APE_comm, GCAM_region_ID) %>% + group_by(APE_comm, region_ID) %>% # Calculate lagged extraction_rate but replace NA with current rate (first period) mutate(extraction_rate_lag = lag(extraction_rate, default=extraction_rate[1])) %>% ungroup() %>% - select(APE_comm, GCAM_region_ID, year, bal_import = extraction_rate_trade, bal_domestic_lag = extraction_rate_lag, bal_domestic_current = extraction_rate) %>% + select(APE_comm, region_ID, year, bal_import = extraction_rate_trade, bal_domestic_lag = extraction_rate_lag, bal_domestic_current = extraction_rate) %>% gather(bal_source, extraction_rate, bal_import, bal_domestic_lag, bal_domestic_current, factor_key = TRUE) } @@ -252,7 +307,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { filter(element == "Import" | element %in% Import_Demand_Item) %>% mutate(is_import = element == "Import") %>% spread(is_import, value, fill=0.0) %>% - group_by(APE_comm, GCAM_region_ID, year, item_code) %>% + group_by(APE_comm, region_ID, year, item_code) %>% summarize(import = sum(`TRUE`), import_demand = sum(`FALSE`), .groups = "drop") %>% ungroup() %>% @@ -263,8 +318,8 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { Import_Demand_Share = pmin(Import_Demand_Share, 1), residual = import - import_demand * Import_Demand_Share) %>% ungroup() %>% - select(APE_comm, GCAM_region_ID, item_code, year, Import_Demand_Share, residual) %>% - left_join(DF_CURR_NEST, ., by=c("APE_comm", "GCAM_region_ID", "item_code", "year")) %>% + select(APE_comm, region_ID, item_code, year, Import_Demand_Share, residual) %>% + left_join(DF_CURR_NEST, ., by=c("APE_comm", "region_ID", "item_code", "year")) %>% # when Import_Demand_Item consumption < Import they are used to share out Import consumptions # otherwise, Residuals is used for adjustments mutate(bal_import = case_when(element == "Import" ~ value, @@ -285,7 +340,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { mutate(is_supply = element %in% Regional_supply_elements, is_demand = element %in% Regional_demand_elements) %>% filter(is_supply | is_demand) %>% - group_by(APE_comm, GCAM_region_ID, year, item_code, bal_source) %>% + group_by(APE_comm, region_ID, year, item_code, bal_source) %>% # Clean the bal items summarize(`Regional supply` = sum(value[is_supply]), `Regional demand` = sum(value[is_demand]), .groups = "drop") %>% @@ -319,7 +374,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { filter(element == "Opening stocks" | element %in% Opening_Stock_Item) %>% mutate(is_opening = element == "Opening stocks") %>% spread(is_opening, value, fill=0.0) %>% - group_by(APE_comm, GCAM_region_ID, year, item_code) %>% + group_by(APE_comm, region_ID, year, item_code) %>% summarize(Ostock = sum(`TRUE`), Ostock_demand = sum(`FALSE`), .groups = "drop") %>% ungroup() %>% @@ -330,8 +385,8 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { Ostock_Demand_Share = pmin(Ostock_Demand_Share, 1), residual = Ostock - Ostock_demand * Ostock_Demand_Share) %>% ungroup() %>% - select(APE_comm, GCAM_region_ID, item_code, year, Ostock_Demand_Share, residual) %>% - left_join(StockCalcNested %>% get_bal_source_data("bal_domestic"), ., by=c("APE_comm", "GCAM_region_ID", "item_code", "year")) %>% + select(APE_comm, region_ID, item_code, year, Ostock_Demand_Share, residual) %>% + left_join(StockCalcNested %>% get_bal_source_data("bal_domestic"), ., by=c("APE_comm", "region_ID", "item_code", "year")) %>% mutate(bal_domestic_lag = case_when(element == "Opening stocks" ~ value, element %in% Opening_Stock_Item ~ value * Ostock_Demand_Share, element == "Residuals" ~ residual, @@ -347,10 +402,10 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { Bal_types = c("bal_import", "bal_domestic_lag", "bal_domestic_current") Bal_types = factor(Bal_types, levels=Bal_types) StockBal_Data %>% - complete(year = unique(StockBal_Data$year), nesting(GCAM_region_ID, item_code, element, APE_comm, bal_source), fill=list(value=0)) %>% + complete(year = unique(StockBal_Data$year), nesting(region_ID, item_code, element, APE_comm, bal_source), fill=list(value=0)) %>% mutate(is_supply = element %in% Regional_supply_elements, is_demand = element %in% Regional_demand_elements) %>% - group_by(APE_comm, GCAM_region_ID, year, item_code, bal_source) %>% + group_by(APE_comm, region_ID, year, item_code, bal_source) %>% # Clean the bal items summarize(`Regional supply` = sum(value[is_supply]), `Regional demand` = sum(value[is_demand]), @@ -420,7 +475,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { # Note that regional extraction rate could be inf # It is likely due to data inconsistency, e.g., zero processed in source but positive sink # No adjustments were made since 1/inf become zero in the scaling process, preserving primary balance - left_join(Get_GROSS_EXTRACTION_RATE(DF_CURR_NEST, DF_ALL), by=c("APE_comm", "GCAM_region_ID", "year", "bal_source")) %>% + left_join(Get_GROSS_EXTRACTION_RATE(DF_CURR_NEST, DF_ALL), by=c("APE_comm", "region_ID", "year", "bal_source")) %>% # Scale sink items to get source item equivalent mutate(value = value / extraction_rate) %>% select(-extraction_rate) -> @@ -437,13 +492,13 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { .df2 .df2 %>% - complete(GCAM_region_ID = unique(Area_Region_Map$GCAM_region_ID), nesting(APE_comm, item_code, nest_level, year), fill=list(value=0)) %>% - complete(.df2 %>% distinct(APE_comm, item_code, nest_level), nesting(GCAM_region_ID, year), fill=list(value=0)) %>% + complete(region_ID = unique(Area_Region_Map$region_ID), nesting(APE_comm, item_code, nest_level, year), fill=list(value=0)) %>% + complete(.df2 %>% distinct(APE_comm, item_code, nest_level), nesting(region_ID, year), fill=list(value=0)) %>% # Use global value (year is specified now!) group_by(APE_comm, item_code, year) %>% mutate(value = sum(value)) %>% ungroup() %>% - group_by(APE_comm, GCAM_region_ID, year) %>% + group_by(APE_comm, region_ID, year) %>% mutate(share = value/ sum(value), share = if_else(is.finite(share), share, dplyr::n()/sum(dplyr::n()))) %>% ungroup() %>% @@ -457,16 +512,16 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { # prepare sink item SUAs and map them to source item(s) # multiple source items are possible but source item will be shared out .df1 %>% - left_join(source_share, by=c("APE_comm", "GCAM_region_ID", "year"), relationship = "many-to-many") %>% + left_join(source_share, by=c("APE_comm", "region_ID", "year"), relationship = "many-to-many") %>% filter(!is.na(share)) %>% mutate(value = value * share, item_code = source_item_code) %>% select(-share) %>% - group_by(nest_level, APE_comm, GCAM_region_ID, year, item_code, element) %>% + group_by(nest_level, APE_comm, region_ID, year, item_code, element) %>% summarize(value = sum(value), .groups = "drop") %>% ungroup() %>% - complete(element=All_Bal_element[All_Bal_element %in% c("Prodution", "Processed")], nesting(nest_level, APE_comm, GCAM_region_ID, year, item_code), fill=list(value=0)) %>% - group_by(nest_level, APE_comm, GCAM_region_ID, year, item_code) %>% + complete(element=All_Bal_element[All_Bal_element %in% c("Prodution", "Processed")], nesting(nest_level, APE_comm, region_ID, year, item_code), fill=list(value=0)) %>% + group_by(nest_level, APE_comm, region_ID, year, item_code) %>% # get data ready to merger upper nest and move prod to negative processed mutate(value = if_else(element == "Production" | element == "Processed", value - value[element == "Production"], value)) %>% ungroup() -> @@ -487,7 +542,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { bind_rows( df3_nested %>% filter(nest_level == nest_i) %>% pull(data) %>% first ) %>% - group_by(APE_comm, GCAM_region_ID, year, item_code, element) %>% + group_by(APE_comm, region_ID, year, item_code, element) %>% summarize(value = sum(value), .groups = "drop") %>% ungroup() -> AGG @@ -506,7 +561,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { # Combine the remaining items by APE_comm DF_ALL %>% tidyr::unnest(c("data")) %>% - group_by(GCAM_region_ID, APE_comm, element, year) %>% + group_by(region_ID, APE_comm, element, year) %>% summarize(value = sum(value), .groups = "drop") %>% ungroup() %>% spread(element, value, fill = 0.0) %>% @@ -514,7 +569,7 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { mutate(`Regional supply` = `Opening stocks` + Production + `Import`, `Regional demand` = `Export` + Feed + Food + Loss + Processed + Seed + `Other uses` +`Closing stocks`, Residuals = `Regional supply` - `Regional demand`) %>% - gather(element, value, -GCAM_region_ID, -APE_comm, -year) -> + gather(element, value, -region_ID, -APE_comm, -year) -> APE_AGG # Aggregate by GCAM_commodity @@ -523,12 +578,11 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { APE_AGG %>% left_join_error_no_match(Mapping_SUA_PrimaryEquivalent %>% select(GCAM_commodity, APE_comm) %>% distinct(), by = c("APE_comm")) %>% - group_by(GCAM_region_ID, GCAM_commodity, element, year) %>% + group_by(region_ID, GCAM_commodity, element, year) %>% summarize(value = sum(value), .groups = "drop") %>% ungroup() %>% - #left_join_error_no_match(GCAM_region_names, by=c("GCAM_region_ID")) %>% mutate(element = as.character(element)) %>% - select(GCAM_region_ID, year, GCAM_commodity, element, value) -> + select(region_ID, year, GCAM_commodity, element, value) -> GCAM_APE_after2010 return(GCAM_APE_after2010) @@ -568,81 +622,6 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { - - - # Section4 [1970-2019] GCAM_APE SUA ---- - - # 4.1. Helper functions ---- - Check_Balance_SUA <- function(.DF){ - NULL -> element -> GCAM_commodity -> Import -> Export -> Production -> Food -> - Feed -> `Other uses` -> `Regional supply` -> `Regional demand` -> bal -> - region - - assertthat::assert_that(all(c("element") %in% names(.DF))) - assertthat::assert_that(all(c("Import", "Export", "Production", - "Food", "Feed", "Other uses") %in% - c(.DF %>% distinct(element) %>% pull))) - # 0. Check NA - if (.DF %>% filter(is.na(value)) %>% nrow() > 0) { - warning("NA values in SUA Balance") - } - - - # 1. Positive value except stock variation and residues - if (isFALSE(.DF %>% filter(!element %in% c("Stock Variation", "Other uses")) %>% - summarise(min = min(value, na.rm = T)) %>% pull(min) >= -0.001)) { - warning("Negative values in key elements (not including stock variation and other uses)") - } - - # 2. Trade balance in all year and items - if (isFALSE(.DF %>% filter(element %in% c("Import", "Export")) %>% - group_by(year, GCAM_commodity, element) %>% - summarise(value = sum(value), .groups = "drop") %>% - spread(element, value) %>% filter(abs(Import - Export) > 0.0001) %>% nrow() == 0)) { - warning("Gross trade imbalance") - } - - # 3. SUA balance check - if (isFALSE(.DF %>% - spread(element, value) %>% - mutate(`Regional supply` = Production + `Import`, - `Regional demand` = `Export` + Feed + Food + `Other uses`, - bal = abs(`Regional supply` - `Regional demand`)) %>% - filter(bal > 0.0001) %>% nrow() == 0)) { - warning("Regional supply != Regional demand + Residuals") - } - - # 4. Balanced in all dimensions - assertthat::assert_that(.DF %>% nrow() == - .DF %>% distinct(year) %>% nrow * - .DF %>% distinct(GCAM_commodity) %>% nrow * - .DF %>% distinct(element) %>% nrow * - .DF %>% distinct(region) %>% nrow) - - } - - # 4.2. Connect and bind data from two periods ---- - - # GCAM_AgLU_SUA_APE_1973_2019 <- - # GCAM_APE_before2010 %>% - # bind_rows(GCAM_APE_after2010) %>% - # mutate(unit = "1000 tonnes") %>% - # # clean and aggregate elements not using - # filter(!element %in% c("Regional demand", "Regional supply", - # "Opening stocks", "Closing stocks")) %>% - # mutate(element = replace(element, - # element %in% c("Stock Variation", "Processed", - # "Seed", "Residuals", "Loss"), - # "Other uses")) %>% - # dplyr::group_by_at(dplyr::vars(-value)) %>% - # summarise(value = sum(value), .groups = "drop") - - - ## Done Section4 ---- - - - - #****************************---- #Section6 Connect food items and macronutrient rates ---- # 6.1 Separate FAO food items into GCAM food items and NEC for macronutrient ---- @@ -729,19 +708,21 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { macronutrient == "calperg" ~ "MKcal", macronutrient == "fatperc" ~ "MtFat", macronutrient == "proteinperc" ~ "MtProtein" )) %>% - left_join_error_no_match(Area_Region_Map %>% select(-region), by = "area_code") -> - FAO_Food_Macronutrient_All_2010_2019 + left_join_error_no_match(Area_Region_Map, by = "area_code") -> + FAO_Food_Macronutrient_All - ### c. Get the max values of macronutrient conversion rate (per GCAM_commodity) ---- - # This will be used later as an upper bound to improve the data - GCAMFAOSTAT_MacroNutrientRate %>% - tidyr::gather(macronutrient, macronutrient_value, calperg:proteinperc) %>% - left_join_error_no_match(SUA_Items_Food %>% select(-item), - by = c("item_code")) %>% - group_by(GCAM_commodity, macronutrient) %>% - summarise(max_macronutrient_value = max(macronutrient_value), .groups = "drop") -> - FAO_Food_MacronutrientRate_2010_2019_MaxValue + # Compare recompiled FBS with the original FBS ---- + + FBS_wide %>% gather_years() %>% + filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + FAOSTAT_AREA_RM_NONEXIST() -> FBS + + for (.DF in c("FBS")) { + get(.DF) %>% filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + # merge Sudan and South Sudan + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL(SUDAN2012_MERGE = T) %>% + assign(x = .DF, envir = parent.env(environment())) } #****************************---- # Produce outputs ---- @@ -753,20 +734,17 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { # add_comments("Supply utilization balance for GCAM commodities and regions in primary equivalent") %>% # add_precursors("aglu/AGLU_ctry", # "common/iso_GCAM_regID", - # "common/GCAM_region_names", # "aglu/FAO/GCAMFAOSTAT_SUA", # "aglu/FAO/GCAMFAOSTAT_BiTrade", # "aglu/FAO/Mapping_SUA_PrimaryEquivalent", # "aglu/FAO/SUA_item_code_map", - # "aglu/FAO/GCAMFAOSTAT_NonFodderProdArea", - # "aglu/FAO/GCAMFAOSTAT_FBSH_CB", - # "aglu/FAO/Mapping_item_FBS_GCAM") -> + # "aglu/FAO/GCAMFAOSTAT_NonFodderProdArea") -> # GCAM_AgLU_SUA_APE_1973_2019 # - # FAO_Food_Macronutrient_All_2010_2019 %>% + # FAO_Food_Macronutrient_All %>% # add_title("GCAM_AgLU_SUA_APE_1973_2019") %>% # add_units("MKcal, MtFat, MtProtein") %>% # add_comments("Macronutrient consumption values connected to food consumption in GCAM_AgLU_SUA_APE_1973_2019") %>% @@ -775,18 +753,8 @@ module_yextension_L100_FoodBalanceSheet <- function(command, ...) { # "aglu/FAO/GCAMFAOSTAT_SUA", # "aglu/FAO/GCAMFAOSTAT_MacroNutrientRate", # "aglu/FAO/Mapping_SUA_PrimaryEquivalent") -> - # FAO_Food_Macronutrient_All_2010_2019 + # FAO_Food_Macronutrient_All # - # FAO_Food_MacronutrientRate_2010_2019_MaxValue %>% - # add_title("FAO_Food_MacronutrientRate_2010_2019_MaxValue") %>% - # add_units("cal per g, fat perc. , protein perc.") %>% - # add_comments("The max value of macronutrient conversion rate across region, year, and SUA items (per GCAM_commodity") %>% - # add_precursors("aglu/AGLU_ctry", - # "common/iso_GCAM_regID", - # "aglu/FAO/GCAMFAOSTAT_SUA", - # "aglu/FAO/GCAMFAOSTAT_MacroNutrientRate", - # "aglu/FAO/Mapping_SUA_PrimaryEquivalent") -> - # FAO_Food_MacronutrientRate_2010_2019_MaxValue return_data(MODULE_OUTPUTS) diff --git a/inst/extdata/FAOSTAT/MAPPING_FAO_FBS_SUA.csv b/inst/extdata/FAOSTAT/MAPPING_FAO_FBS_SUA.csv index 20166bac5..0a5c9b3ba 100644 --- a/inst/extdata/FAOSTAT/MAPPING_FAO_FBS_SUA.csv +++ b/inst/extdata/FAOSTAT/MAPPING_FAO_FBS_SUA.csv @@ -1,4 +1,4 @@ -# File: MAPPING_FAO_FBS_SUA.csv +# File: Mapping_FAO_FBS_SUA.csv # Title: Item mapping between FAO FBS and SUA # Units: NA # Description: The mapping is compiled based on the available info diff --git a/inst/extdata/FAOSTAT/Mapping_FAO_iso_reg.csv b/inst/extdata/FAOSTAT/Mapping_FAO_iso_reg.csv new file mode 100644 index 000000000..0870369b4 --- /dev/null +++ b/inst/extdata/FAOSTAT/Mapping_FAO_iso_reg.csv @@ -0,0 +1,269 @@ +# File: Mapping_FAO_iso_reg.csv +# Title: Mapping of FAO countries ISO codes +# Units: NA +# Description: Note that both French Guiana and French Guyana are added for now and Saint Helena,, Ascension and Tristan da Cunha is added. Area_code should be used later, +# region_ID is model-specific region mapping. It is set to FAO area_code now. It can be used to remove intraregional trade in compiling the new FBS +# Last update: 06-15-2024 (XZ) +# Column types: cici +# ---------- +FAO_country,area_code,iso,region_ID +Armenia,1,arm,1 +Afghanistan,2,afg,2 +Albania,3,alb,3 +Algeria,4,dza,4 +American Samoa,5,asm,5 +Andorra,6,and,6 +Angola,7,ago,7 +Antigua and Barbuda,8,atg,8 +Argentina,9,arg,9 +Australia,10,aus,10 +Austria,11,aut,11 +Bahamas,12,bhs,12 +Bahrain,13,bhr,13 +Barbados,14,brb,14 +Belgium-Luxembourg,15,lux,15 +Bangladesh,16,bgd,16 +Bermuda,17,bmu,17 +Bhutan,18,btn,18 +Bolivia (Plurinational State of),19,bol,19 +Botswana,20,bwa,20 +Brazil,21,bra,21 +Aruba,22,abw,22 +Belize,23,blz,23 +Solomon Islands,25,slb,25 +Brunei Darussalam,26,brn,26 +Bulgaria,27,bgr,27 +Myanmar,28,mmr,28 +Burundi,29,bdi,29 +Cameroon,32,cmr,32 +Canada,33,can,33 +Cabo Verde,35,cpv,35 +Cayman Islands,36,cym,36 +Central African Republic,37,caf,37 +Sri Lanka,38,lka,38 +Chad,39,tcd,39 +Chile,40,chl,40 +"China, mainland",41,chn,41 +Christmas Island,42,cxr,42 +Colombia,44,col,44 +Comoros,45,com,45 +Congo,46,cog,46 +Cook Islands,47,cok,47 +Costa Rica,48,cri,48 +Cuba,49,cub,49 +Cyprus,50,cyp,50 +Czechoslovakia,51,cze,51 +Czechoslovakia,51,svk,51 +Azerbaijan,52,aze,52 +Benin,53,ben,53 +Denmark,54,dnk,54 +Dominica,55,dma,55 +Dominican Republic,56,dom,56 +Belarus,57,blr,57 +Ecuador,58,ecu,58 +Egypt,59,egy,59 +El Salvador,60,slv,60 +Equatorial Guinea,61,gnq,61 +Ethiopia PDR,62,eth,62 +Estonia,63,est,63 +Faroe Islands,64,fro,64 +Falkland Islands (Malvinas),65,flk,65 +Fiji,66,fji,66 +Finland,67,fin,67 +France,68,fra,68 +French Guiana,69,guf,69 +French Polynesia,70,pyf,70 +Djibouti,72,dji,72 +Georgia,73,geo,73 +Gabon,74,gab,74 +Gambia,75,gmb,75 +Germany,79,deu,79 +Bosnia and Herzegovina,80,bih,80 +Ghana,81,gha,81 +Gibraltar,82,gib,82 +Kiribati,83,kir,83 +Greece,84,grc,84 +Greenland,85,grl,85 +Grenada,86,grd,86 +Guadeloupe,87,glp,87 +Guam,88,gum,88 +Guatemala,89,gtm,89 +Guinea,90,gin,90 +Guyana,91,guy,91 +Haiti,93,hti,93 +Honduras,95,hnd,95 +"China, Hong Kong SAR",96,hkg,96 +Hungary,97,hun,97 +Croatia,98,hrv,98 +Iceland,99,isl,99 +India,100,ind,100 +Indonesia,101,idn,101 +Iran (Islamic Republic of),102,irn,102 +Iraq,103,irq,103 +Ireland,104,irl,104 +Israel,105,isr,105 +Italy,106,ita,106 +Cote dIvoire,107,civ,107 +Kazakhstan,108,kaz,108 +Jamaica,109,jam,109 +Japan,110,jpn,110 +Jordan,112,jor,112 +Kyrgyzstan,113,kgz,113 +Kenya,114,ken,114 +Cambodia,115,khm,115 +Democratic Peoples Republic of Korea,116,prk,116 +Republic of Korea,117,kor,117 +Kuwait,118,kwt,118 +Latvia,119,lva,119 +Lao Peoples Democratic Republic,120,lao,120 +Lebanon,121,lbn,121 +Lesotho,122,lso,122 +Liberia,123,lbr,123 +Libya,124,lby,124 +Liechtenstein,125,lie,125 +Lithuania,126,ltu,126 +Marshall Islands,127,mhl,127 +"China, Macao SAR",128,mac,128 +Madagascar,129,mdg,129 +Malawi,130,mwi,130 +Malaysia,131,mys,131 +Maldives,132,mdv,132 +Mali,133,mli,133 +Malta,134,mlt,134 +Martinique,135,mtq,135 +Mauritania,136,mrt,136 +Mauritius,137,mus,137 +Mexico,138,mex,138 +Mongolia,141,mng,141 +Montserrat,142,msr,142 +Morocco,143,mar,143 +Mozambique,144,moz,144 +Micronesia (Federated States of),145,fsm,145 +Republic of Moldova,146,mda,146 +Namibia,147,nam,147 +Nauru,148,nru,148 +Nepal,149,npl,149 +Netherlands (Kingdom of the),150,nld,150 +Netherlands Antilles,151,ant,151 +New Caledonia,153,ncl,153 +North Macedonia,154,mkd,154 +Vanuatu,155,vut,155 +New Zealand,156,nzl,156 +Nicaragua,157,nic,157 +Niger,158,ner,158 +Nigeria,159,nga,159 +Niue,160,niu,160 +Norfolk Island,161,nfk,161 +Norway,162,nor,162 +Northern Mariana Islands,163,mnp,163 +Pacific Islands Trust Territory,164,fsm,164 +Pakistan,165,pak,165 +Panama,166,pan,166 +Czechia,167,cze,167 +Papua New Guinea,168,png,168 +Paraguay,169,pry,169 +Peru,170,per,170 +Philippines,171,phl,171 +Poland,173,pol,173 +Portugal,174,prt,174 +Guinea-Bissau,175,gnb,175 +Timor-Leste,176,tls,176 +Puerto Rico,177,pri,177 +Eritrea,178,eri,178 +Qatar,179,qat,179 +Palau,180,plw,180 +Zimbabwe,181,zwe,181 +Reunion,182,reu,182 +Romania,183,rom,183 +Rwanda,184,rwa,184 +Russian Federation,185,rus,185 +Serbia and Montenegro,186,scg,186 +Serbia and Montenegro,186,scg,186 +Serbia and Montenegro,186,scg,186 +"Saint Helena, Ascension and Tristan da Cunha",187,shn,187 +Saint Kitts and Nevis,188,kna,188 +Saint Lucia,189,lca,189 +Saint Pierre and Miquelon,190,spm,190 +Saint Vincent and the Grenadines,191,vct,191 +San Marino,192,smr,192 +Sao Tome and Principe,193,stp,193 +Saudi Arabia,194,sau,194 +Senegal,195,sen,195 +Seychelles,196,syc,196 +Sierra Leone,197,sle,197 +Slovenia,198,svn,198 +Slovakia,199,svk,199 +Singapore,200,sgp,200 +Somalia,201,som,201 +South Africa,202,zaf,202 +Spain,203,esp,203 +Western Sahara,205,esh,205 +Sudan (former),206,sdn,206 +Suriname,207,sur,207 +Tajikistan,208,tjk,208 +Eswatini,209,swz,209 +Sweden,210,swe,210 +Switzerland,211,che,211 +Syrian Arab Republic,212,syr,212 +Turkmenistan,213,tkm,213 +"China, Taiwan Province of",214,twn,214 +United Republic of Tanzania,215,tza,215 +Thailand,216,tha,216 +Togo,217,tgo,217 +Tokelau,218,tkl,218 +Tonga,219,ton,219 +Trinidad and Tobago,220,tto,220 +Oman,221,omn,221 +Tunisia,222,tun,222 +Turkiye,223,tur,223 +Turks and Caicos Islands,224,tca,224 +United Arab Emirates,225,are,225 +Uganda,226,uga,226 +Tuvalu,227,tuv,227 +USSR,228,arm,228 +USSR,228,aze,228 +USSR,228,blr,228 +USSR,228,est,228 +USSR,228,geo,228 +USSR,228,kaz,228 +USSR,228,kgz,228 +USSR,228,ltu,228 +USSR,228,lva,228 +USSR,228,mda,228 +USSR,228,rus,228 +USSR,228,tjk,228 +USSR,228,tkm,228 +USSR,228,ukr,228 +USSR,228,uzb,228 +United Kingdom of Great Britain and Northern Ireland,229,gbr,229 +Ukraine,230,ukr,230 +United States of America,231,usa,231 +Burkina Faso,233,bfa,233 +Uruguay,234,ury,234 +Uzbekistan,235,uzb,235 +Venezuela (Bolivarian Republic of),236,ven,236 +Viet Nam,237,vnm,237 +Ethiopia,238,eth,238 +British Virgin Islands,239,vgb,239 +United States Virgin Islands,240,vir,240 +Wallis and Futuna Islands,243,wlf,243 +Samoa,244,wsm,244 +Yugoslav SFR,248,bih,248 +Yugoslav SFR,248,hrv,248 +Yugoslav SFR,248,mkd,248 +Yugoslav SFR,248,mne,248 +Yugoslav SFR,248,srb,248 +Yugoslav SFR,248,svn,248 +Yemen,249,yem,249 +Democratic Republic of the Congo,250,cod,250 +Zambia,251,zmb,251 +Belgium,255,bel,255 +Luxembourg,256,lux,256 +Channel Islands,259,chi,259 +Isle of Man,264,imn,264 +Mayotte,270,myt,270 +Serbia,272,srb,272 +Montenegro,273,mne,273 +Sudan,276,sdn,276 +South Sudan,277,ssd,277 +Palestine,299,pse,299 diff --git a/inst/extdata/FAOSTAT/Mapping_SUA_PrimaryEquivalent.csv b/inst/extdata/FAOSTAT/Mapping_SUA_PrimaryEquivalent.csv index a4b7c12ca..828f59486 100644 --- a/inst/extdata/FAOSTAT/Mapping_SUA_PrimaryEquivalent.csv +++ b/inst/extdata/FAOSTAT/Mapping_SUA_PrimaryEquivalent.csv @@ -1,25 +1,25 @@ -# File: Mapping_SUA_PrimaryEquivalent.csv,,,,,,,,,, -# Title: Mapping of SUA items to primary products by level of nestings,,,,,,,,,, -# Units: NA,,,,,,,,,, -# Description: The mapping is constructed for aggregating items across supply chain in primary equivalent.,,,,,,,,,, -# There are 21 GCAM_commodity but 71 APE_comm (aggregated primary equivalent for 2010 onwards). ,,,,,,,,,, -# For each APE_comm nest levels souce and sink items are specified. ,,,,,,,,,, -# The mapping or processing is not one to one. For each level source and sink items shoud be viewed as an aggregate.,,,,,,,,,, -# Primary product (land based or primary meat) is indicated by source_primary. ,,,,,,,,,, -# In few cases output_specific_extraction_rate is specifies to prescale the data as the extraction rate for coproducts are not fixed.,,,,,,,,,, -# Sink item mapping to FAO FBS FBSH and CB items is provided in sink_FBS_item.,,,,,,,,,, -# GCAM_FBSH_CB_item is the mapping between GCAM_commodity and FBSH and CB,,,,,,,,,, -# GCAM_FBSH_CB_item is a unique set of sink_FBS_item and these items will be directly aggregated to GCAM_commodity for data before 2010,,,,,,,,,, -# To add in new GCAM commodity simply change GCAM_commodity,,,,,,,,,, -# However it requires that the new GCAM commodity should be independent in APE_comm and GCAM_FBSH_CB_item Eg Tomato Barley etc.,,,,,,,,,, -# extraction_rate_Q25 is 25 percent quantile value across regions and years,,,,,,,,,, -# When Q25asMin is TRUE (minimium is smaller than 0.5) extraction_rate_Q25 is used as min to avoid unrealistic scale of processed balance to primary equivalent. It is used in Get_GROSS_EXTRACTION_RATE.,,,,,,,,,, -# Need to make sure that when nest_level is not 0 Q25asMin extraction_rate_Q25 and extraction_rate_world2019 have values,,,,,,,,,, -# Jojoba seed Poppy seed and Oil castor beans did not have quality extraction rate so 1 was used here.,,,,,,,,,, -# Update2024: mushroom and brazil nuts were not associated with area harvested per FAO change; we keep them as primary,,,,,,,,,, -# Last update: 06-09-2024 (XZ),,,,,,,,,, -# Column types: ccilccncnnl,,,,,,,,,, -# ----------,,,,,,,,,, +# File: Mapping_SUA_PrimaryEquivalent.csv +# Title: Mapping of SUA items to primary products by level of nestings +# Units: NA +# Description: The mapping is constructed for aggregating items across supply chain in primary equivalent. +# There are 21 GCAM_commodity but 71 APE_comm (aggregated primary equivalent for 2010 onwards). +# For each APE_comm nest levels souce and sink items are specified. +# The mapping or processing is not one to one. For each level source and sink items shoud be viewed as an aggregate. +# Primary product (land based or primary meat) is indicated by source_primary. +# In few cases output_specific_extraction_rate is specifies to prescale the data as the extraction rate for coproducts are not fixed. +# Sink item mapping to FAO FBS FBSH and CB items is provided in sink_FBS_item. +# GCAM_FBSH_CB_item is the mapping between GCAM_commodity and FBSH and CB +# GCAM_FBSH_CB_item is a unique set of sink_FBS_item and these items will be directly aggregated to GCAM_commodity for data before 2010 +# To add in new GCAM commodity simply change GCAM_commodity +# However it requires that the new GCAM commodity should be independent in APE_comm and GCAM_FBSH_CB_item Eg Tomato Barley etc. +# extraction_rate_Q25 is 25 percent quantile value across regions and years +# When Q25asMin is TRUE (minimium is smaller than 0.5) extraction_rate_Q25 is used as min to avoid unrealistic scale of processed balance to primary equivalent. It is used in Get_GROSS_EXTRACTION_RATE. +# Need to make sure that when nest_level is not 0 Q25asMin extraction_rate_Q25 and extraction_rate_world2019 have values +# Jojoba seed Poppy seed and Oil castor beans did not have quality extraction rate so 1 was used here. +# Update2024: mushroom and brazil nuts were not associated with area harvested per FAO change; we keep them as primary +# Last update: 06-09-2024 (XZ) +# Column types: ccilccncnnl +# ---------- GCAM_commodity,APE_comm,nest_level,source_primary,source_item,sink_item,output_specific_extraction_rate,sink_FBS_item,extraction_rate_Q25,extraction_rate_world2019,Q25asMin Wheat,Wheat,1,TRUE,Wheat,"Food preparations, flour, malt extract",,Wheat and products,0.942971612,0.985277283,FALSE Wheat,Wheat,1,TRUE,Wheat,Bulgur,,Wheat and products,0.942971612,0.985277283,FALSE @@ -53,34 +53,34 @@ Corn,Corn,3,FALSE,"Bran, maize","Feed and meal, gluten",,Maize and products (inc Corn,Corn,3,FALSE,"Gluten, maize","Feed and meal, gluten",,Maize and products (including white maize),1,1.058352856,FALSE Corn,Corn,4,FALSE,"Germ, maize","Oil, maize",,Maize Germ Oil and products,0.881612035,0.938040357,TRUE Corn,Corn,4,FALSE,"Germ, maize","Cake, maize",,Estimated,0.881612035,0.938040357,TRUE -OtherGrain,Barley,1,TRUE,Barley,"Barley, pot",,Barley and products,0.776986262,0.755403899,TRUE -OtherGrain,Barley,1,TRUE,Barley,"Bran, barley",,Barley and products,0.776986262,0.755403899,TRUE -OtherGrain,Barley,1,TRUE,Barley,Malt,,Barley and products,0.776986262,0.755403899,TRUE -OtherGrain,Barley,2,FALSE,"Barley, pot","Barley, pearled",,Barley and products,0.9203936,0.896950677,TRUE -OtherGrain,Barley,2,FALSE,"Barley, pot","Flour, barley and grits",,Barley and products,0.9203936,0.896950677,TRUE -OtherGrain,Barley,3,FALSE,Malt,Beer of barley,,Barley and products,6,8.09720345,FALSE -OtherGrain,Barley,3,FALSE,Malt,Malt extract,,Barley and products,6,8.09720345,FALSE -OtherGrain,Millet,1,TRUE,Millet,"Flour, millet",,Millet and products,0.900046664,0.937459232,FALSE -OtherGrain,Millet,1,TRUE,Millet,"Bran, millet",,Millet and products,0.900046664,0.937459232,FALSE -OtherGrain,Rye,1,TRUE,Rye,"Flour, rye",,Rye and products,0.832489814,0.874079778,TRUE -OtherGrain,Rye,1,TRUE,Rye,"Bran, rye",,Rye and products,0.832489814,0.874079778,TRUE -OtherGrain,Oats,1,TRUE,Oats,Oats rolled,,Oats and products,0.679656244,0.761934386,TRUE -OtherGrain,Oats,1,TRUE,Oats,"Bran, oats",,Oats and products,0.679656244,0.761934386,TRUE -OtherGrain,Sorghum,1,TRUE,Sorghum,"Flour, sorghum",,Sorghum and products,0.930002898,0.84623475,FALSE -OtherGrain,Sorghum,1,TRUE,Sorghum,"Bran, sorghum",,Sorghum and products,0.930002898,0.84623475,FALSE -OtherGrain,CerealsNES,0,TRUE,Quinoa,Quinoa,,"Cereals, Other and products",,, -OtherGrain,CerealsNES,0,TRUE,Canary seed,Canary seed,,"Cereals, Other and products",,, -OtherGrain,CerealsNES,1,TRUE,Buckwheat,"Flour, buckwheat",,"Cereals, Other and products",0.875070881,0.951067665,FALSE -OtherGrain,CerealsNES,1,TRUE,Buckwheat,"Bran, buckwheat",,"Cereals, Other and products",0.875070881,0.951067665,FALSE -OtherGrain,CerealsNES,2,TRUE,Fonio,"Flour, fonio",,"Cereals, Other and products",0.918882346,0.919164351,FALSE -OtherGrain,CerealsNES,2,TRUE,Fonio,"Bran, fonio",,"Cereals, Other and products",0.918882346,0.919164351,FALSE -OtherGrain,CerealsNES,3,TRUE,Triticale,"Flour, triticale",,"Cereals, Other and products",0.919885057,0.967297604,FALSE -OtherGrain,CerealsNES,3,TRUE,Triticale,"Bran, triticale",,"Cereals, Other and products",0.919885057,0.967297604,FALSE -OtherGrain,CerealsNES,4,TRUE,"Grain, mixed","Flour, mixed grain",,"Cereals, Other and products",0.760321865,0.633760079,FALSE -OtherGrain,CerealsNES,4,TRUE,"Grain, mixed","Bran, mixed grains",,"Cereals, Other and products",0.760321865,0.633760079,FALSE -OtherGrain,CerealsNES,5,TRUE,Cereals nes,"Flour, cereals",,"Cereals, Other and products",1.068507066,1.289136893,FALSE -OtherGrain,CerealsNES,5,TRUE,Cereals nes,"Bran, cereals nes",,"Cereals, Other and products",1.068507066,1.289136893,FALSE -OtherGrain,CerealsNES,5,TRUE,Cereals nes,Cereal preparations nes,,"Cereals, Other and products",1.068507066,1.289136893,FALSE +Barley,Barley,1,TRUE,Barley,"Barley, pot",,Barley and products,0.776986262,0.755403899,TRUE +Barley,Barley,1,TRUE,Barley,"Bran, barley",,Barley and products,0.776986262,0.755403899,TRUE +Barley,Barley,1,TRUE,Barley,Malt,,Barley and products,0.776986262,0.755403899,TRUE +Barley,Barley,2,FALSE,"Barley, pot","Barley, pearled",,Barley and products,0.9203936,0.896950677,TRUE +Barley,Barley,2,FALSE,"Barley, pot","Flour, barley and grits",,Barley and products,0.9203936,0.896950677,TRUE +Barley,Barley,3,FALSE,Malt,Beer of barley,,Barley and products,6,8.09720345,FALSE +Barley,Barley,3,FALSE,Malt,Malt extract,,Barley and products,6,8.09720345,FALSE +Millet,Millet,1,TRUE,Millet,"Flour, millet",,Millet and products,0.900046664,0.937459232,FALSE +Millet,Millet,1,TRUE,Millet,"Bran, millet",,Millet and products,0.900046664,0.937459232,FALSE +Rye,Rye,1,TRUE,Rye,"Flour, rye",,Rye and products,0.832489814,0.874079778,TRUE +Rye,Rye,1,TRUE,Rye,"Bran, rye",,Rye and products,0.832489814,0.874079778,TRUE +Oats,Oats,1,TRUE,Oats,Oats rolled,,Oats and products,0.679656244,0.761934386,TRUE +Oats,Oats,1,TRUE,Oats,"Bran, oats",,Oats and products,0.679656244,0.761934386,TRUE +Sorghum,Sorghum,1,TRUE,Sorghum,"Flour, sorghum",,Sorghum and products,0.930002898,0.84623475,FALSE +Sorghum,Sorghum,1,TRUE,Sorghum,"Bran, sorghum",,Sorghum and products,0.930002898,0.84623475,FALSE +CerealsNES,CerealsNES,0,TRUE,Quinoa,Quinoa,,"Cereals, Other and products",,, +CerealsNES,CerealsNES,0,TRUE,Canary seed,Canary seed,,"Cereals, Other and products",,, +CerealsNES,CerealsNES,1,TRUE,Buckwheat,"Flour, buckwheat",,"Cereals, Other and products",0.875070881,0.951067665,FALSE +CerealsNES,CerealsNES,1,TRUE,Buckwheat,"Bran, buckwheat",,"Cereals, Other and products",0.875070881,0.951067665,FALSE +CerealsNES,CerealsNES,2,TRUE,Fonio,"Flour, fonio",,"Cereals, Other and products",0.918882346,0.919164351,FALSE +CerealsNES,CerealsNES,2,TRUE,Fonio,"Bran, fonio",,"Cereals, Other and products",0.918882346,0.919164351,FALSE +CerealsNES,CerealsNES,3,TRUE,Triticale,"Flour, triticale",,"Cereals, Other and products",0.919885057,0.967297604,FALSE +CerealsNES,CerealsNES,3,TRUE,Triticale,"Bran, triticale",,"Cereals, Other and products",0.919885057,0.967297604,FALSE +CerealsNES,CerealsNES,4,TRUE,"Grain, mixed","Flour, mixed grain",,"Cereals, Other and products",0.760321865,0.633760079,FALSE +CerealsNES,CerealsNES,4,TRUE,"Grain, mixed","Bran, mixed grains",,"Cereals, Other and products",0.760321865,0.633760079,FALSE +CerealsNES,CerealsNES,5,TRUE,Cereals nes,"Flour, cereals",,"Cereals, Other and products",1.068507066,1.289136893,FALSE +CerealsNES,CerealsNES,5,TRUE,Cereals nes,"Bran, cereals nes",,"Cereals, Other and products",1.068507066,1.289136893,FALSE +CerealsNES,CerealsNES,5,TRUE,Cereals nes,Cereal preparations nes,,"Cereals, Other and products",1.068507066,1.289136893,FALSE Soybean,Soybean,1,TRUE,Soybeans,"Oil, soybean",,Soyabean Oil and products,0.938210713,1.001923596,TRUE Soybean,Soybean,1,TRUE,Soybeans,"Cake, soybeans",,Soyabean Cake,0.938210713,1.001923596,TRUE Soybean,Soybean,1,TRUE,Soybeans,Soya sauce,,Soyabeans and products,0.938210713,1.001923596,TRUE @@ -90,82 +90,82 @@ OilPalm,OilPalm,1,TRUE,Oil palm fruit,"Oil, palm",,Palm Oil and products,0.22978 OilPalm,OilPalm,1,TRUE,Oil palm fruit,Palm kernels,,Palm kernels and products,0.229783485,0.266953101,TRUE OilPalm,OilPalm,2,FALSE,Palm kernels,"Oil, palm kernel",,Palmkernel Oil and products,0.931997389,0.998701612,TRUE OilPalm,OilPalm,2,FALSE,Palm kernels,"Cake, palm kernel",,Palmkernel Cake,0.931997389,0.998701612,TRUE -OilCrop,Sunflower seed,1,TRUE,Sunflower seed,"Oil, sunflower",,Sunflower seed and products,0.83448627,0.882079224,TRUE -OilCrop,Sunflower seed,1,TRUE,Sunflower seed,"Cake, sunflower",,Sunflowerseed Cake,0.83448627,0.882079224,TRUE -OilCrop,Rapeseed,1,TRUE,Rapeseed,"Oil, rapeseed",,Rape and Mustard Oil and products,0.921894704,0.964325659,FALSE -OilCrop,Rapeseed,1,TRUE,Rapeseed,"Cake, rapeseed",,Rape and Mustard Cake,0.921894704,0.964325659,FALSE -OilCrop,Mustard seed,1,TRUE,Mustard seed,"Oil, mustard",,Rape and Mustard Oil and products,0.772188199,0.906606832,FALSE -OilCrop,Mustard seed,1,TRUE,Mustard seed,"Flour, mustard",,Rape and Mustard Oil and products,0.772188199,0.906606832,FALSE -OilCrop,Mustard seed,1,TRUE,Mustard seed,"Cake, mustard",,Rape and Mustard Cake,0.772188199,0.906606832,FALSE -OilCrop,Coconuts,1,TRUE,Coconuts,Copra,,Coconuts (including copra) and products,0.199996942,0.250353462,TRUE -OilCrop,Coconuts,1,TRUE,Coconuts,"Coconuts, desiccated",,Coconuts (including copra) and products,0.199996942,0.250353462,TRUE -OilCrop,Coconuts,1,TRUE,Coconuts,Coir,,QCL,0.199996942,0.250353462,TRUE -OilCrop,Coconuts,2,FALSE,Copra,"Oil, coconut (copra)",,Coconut Oil and products,0.949594442,1.021711161,TRUE -OilCrop,Coconuts,2,FALSE,Copra,"Cake, copra",,Copra Cake,0.949594442,1.021711161,TRUE -OilCrop,Sesame seed,1,TRUE,Sesame seed,"Oil, sesame",,Sesameseed Oil and products,0.921607193,0.974784023,FALSE -OilCrop,Sesame seed,1,TRUE,Sesame seed,"Cake, sesame seed",,Sesameseed Cake,0.921607193,0.974784023,FALSE -OilCrop,Olives,1,TRUE,Olives,Olives preserved,,Olives (including preserved) and products,0.346509871,0.475683954,TRUE -OilCrop,Olives,1,TRUE,Olives,"Oil, olive, virgin",,Olive Oil and products,0.346509871,0.475683954,TRUE -OilCrop,Olives,1,TRUE,Olives,"Oil, olive residues",,Olive Oil and products,0.346509871,0.475683954,TRUE -OilCrop,Olives,1,TRUE,Olives,"Cake, olive residues",,Estimated,0.346509871,0.475683954,TRUE -OilCrop,Linseed,1,TRUE,Linseed,"Oil, linseed",,"Oilcrops, Other and products",0.917542006,0.956329598,TRUE -OilCrop,Linseed,1,TRUE,Linseed,"Cake, linseed",,Estimated,0.917542006,0.956329598,TRUE -OilCrop,Castor oil seed,1,TRUE,Castor oil seed,"Oil, castor beans",,"Oilcrops Oil, Other and products",0.4,0.43961813,TRUE -OilCrop,Castor oil seed,2,FALSE,"Oil, castor beans","Castor oil, hydrogenated (opal wax)",,"Oilcrops Oil, Other and products",1,1,FALSE -OilCrop,Tallowtree seed,1,TRUE,Tallowtree seed,Vegetable tallow,,"Oilcrops Oil, Other and products",0.15,0.15,TRUE -OilCrop,Karite nuts (sheanuts),1,TRUE,Karite nuts (sheanuts),Butter of karite nuts,,"Oilcrops Oil, Other and products",0.299163129,0.292599938,TRUE -OilCrop,Kapok fruit,1,TRUE,Kapok fruit,Kapokseed in shell,,"Oilcrops, Other and products",1.029837176,1.040012446,FALSE -OilCrop,Kapok fruit,1,TRUE,Kapok fruit,Kapok fibre,,QCL,1.029837176,1.040012446,FALSE -OilCrop,Kapok fruit,2,FALSE,Kapokseed in shell,Kapokseed shelled,,"Oilcrops, Other and products",0.659998607,0.659998455,FALSE -OilCrop,Kapok fruit,3,FALSE,Kapokseed shelled,"Oil, kapok",,"Oilcrops Oil, Other and products",0.749993466,0.792471231,FALSE -OilCrop,Kapok fruit,3,FALSE,Kapokseed shelled,"Cake, kapok",,Estimated,0.749993466,0.792471231,FALSE -OilCrop,OilCropNES,0,TRUE,Melonseed,Melonseed,,"Oilcrops, Other and products",,, -OilCrop,OilCropNES,1,TRUE,Safflower seed,"Oil, safflower",,"Oilcrops Oil, Other and products",0.710838072,0.84546635,TRUE -OilCrop,OilCropNES,1,TRUE,Safflower seed,"Cake, safflower",,Estimated,0.710838072,0.84546635,TRUE -OilCrop,OilCropNES,2,TRUE,Jojoba seed,"Oil, jojoba",,"Oilcrops Oil, Other and products",1,1,FALSE -OilCrop,OilCropNES,2,TRUE,Jojoba seed,"Cake, jojoba",,Estimated,1,1,FALSE -OilCrop,OilCropNES,3,TRUE,Poppy seed,"Oil, poppy",,"Oilcrops Oil, Other and products",1,1,FALSE -OilCrop,OilCropNES,3,TRUE,Poppy seed,"Cake, poppy",,Estimated,1,1,FALSE -OilCrop,OilCropNES,4,TRUE,Hempseed,"Oil, hempseed",,"Oilcrops Oil, Other and products",0.560643519,0.673878058,FALSE -OilCrop,OilCropNES,4,TRUE,Hempseed,"Cake, hempseed",,Estimated,0.560643519,0.673878058,FALSE -OilCrop,OilCropNES,5,TRUE,Oilseeds nes,"Oil, vegetable origin nes",,"Oilcrops Oil, Other and products",0.76104,2.60284622,TRUE -OilCrop,OilCropNES,5,TRUE,Oilseeds nes,"Cake, vegetable origin nes",,"Oilseed Cakes, Other",0.76104,2.60284622,TRUE -OilCrop,OilCropNES,5,TRUE,Oilseeds nes,"Flour, oilseeds",,"Oilcrops, Other and products",0.76104,2.60284622,TRUE -OilCrop,OilCropNES,6,TRUE,Tung nuts,"Oil, tung nuts",,"Oilcrops Oil, Other and products",0.174239784,0.170890194,TRUE -FiberCrop,Seed cotton,1,TRUE,Seed cotton,Cottonseed,,QCL,0.881238445,0.844809987,TRUE -FiberCrop,Seed cotton,1,TRUE,Seed cotton,Cotton lint,,QCL,0.881238445,0.844809987,TRUE -FiberCrop,Seed cotton,2,FALSE,Cottonseed,"Oil, cottonseed",,Cottonseed Oil and products,0.653978909,0.693275286,TRUE -FiberCrop,Seed cotton,2,FALSE,Cottonseed,"Cake, cottonseed",,Cottonseed Cake,0.653978909,0.693275286,TRUE -FiberCrop,Seed cotton,2,FALSE,Cottonseed,"Fiber, cottonseed",,Estimated,0.653978909,0.693275286,TRUE -FiberCrop,FiberCropNES,0,TRUE,Agave fibres nes,Agave fibres nes,,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,"Bastfibres, other","Bastfibres, other",,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,Fibre crops nes,Fibre crops nes,,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,"Flax, raw or retted","Flax, raw or retted",,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,Hemp tow waste,Hemp tow waste,,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,Jute,Jute,,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,Manila fibre (abaca),Manila fibre (abaca),,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,Ramie,Ramie,,QCL,,, -FiberCrop,FiberCropNES,0,TRUE,Sisal,Sisal,,QCL,,, -NutsSeeds,"Groundnuts, with shell",1,TRUE,"Groundnuts, with shell","Groundnuts, shelled",,Groundnuts (Shelled Eq) and products,0.699976399,0.69951945,TRUE -NutsSeeds,"Groundnuts, with shell",2,FALSE,"Groundnuts, shelled","Cake, groundnuts",,Groundnut Cake,0.925590681,0.824645889,TRUE -NutsSeeds,"Groundnuts, with shell",2,FALSE,"Groundnuts, shelled","Groundnuts, prepared",,Groundnuts (Shelled Eq) and products,0.925590681,0.824645889,TRUE -NutsSeeds,"Groundnuts, with shell",2,FALSE,"Groundnuts, shelled",Peanut butter,,Groundnuts (Shelled Eq) and products,0.925590681,0.824645889,TRUE -NutsSeeds,"Groundnuts, with shell",2,FALSE,"Groundnuts, shelled","Oil, groundnut",,Groundnut Oil and products,0.925590681,0.824645889,TRUE -NutsSeeds,NutsSeedsNES,0,TRUE,Chestnut,Chestnut,,Nuts and products,,, -NutsSeeds,NutsSeedsNES,0,TRUE,Areca nuts,Areca nuts,,Nuts and products,,, -NutsSeeds,NutsSeedsNES,0,TRUE,Kola nuts,Kola nuts,,Nuts and products,,, -NutsSeeds,NutsSeedsNES,1,TRUE,"Brazil nuts, with shell","Brazil nuts, shelled",,Nuts and products,0.54998659,0.549990383,FALSE -NutsSeeds,NutsSeedsNES,2,TRUE,"Walnuts, with shell","Walnuts, shelled",,Nuts and products,0.418449069,0.483226707,TRUE -NutsSeeds,NutsSeedsNES,3,TRUE,"Cashew nuts, with shell","Cashew nuts, shelled",,Nuts and products,0.249908103,0.297210095,TRUE -NutsSeeds,NutsSeedsNES,4,TRUE,"Almonds, with shell",Almonds shelled,,Nuts and products,0.494881028,0.535778845,TRUE -NutsSeeds,NutsSeedsNES,5,TRUE,"Hazelnuts, with shell","Hazelnuts, shelled",,Nuts and products,0.499196224,0.498477673,TRUE -NutsSeeds,NutsSeedsNES,6,FALSE,"Brazil nuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE -NutsSeeds,NutsSeedsNES,6,FALSE,"Walnuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE -NutsSeeds,NutsSeedsNES,6,FALSE,"Cashew nuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE -NutsSeeds,NutsSeedsNES,6,TRUE,Nuts nes,"Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE -NutsSeeds,NutsSeedsNES,6,TRUE,Pistachios,"Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE -NutsSeeds,NutsSeedsNES,6,FALSE,Almonds shelled,"Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE -NutsSeeds,NutsSeedsNES,6,FALSE,"Hazelnuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE +Sunflower seed,Sunflower seed,1,TRUE,Sunflower seed,"Oil, sunflower",,Sunflower seed and products,0.83448627,0.882079224,TRUE +Sunflower seed,Sunflower seed,1,TRUE,Sunflower seed,"Cake, sunflower",,Sunflowerseed Cake,0.83448627,0.882079224,TRUE +Rapeseed,Rapeseed,1,TRUE,Rapeseed,"Oil, rapeseed",,Rape and Mustard Oil and products,0.921894704,0.964325659,FALSE +Rapeseed,Rapeseed,1,TRUE,Rapeseed,"Cake, rapeseed",,Rape and Mustard Cake,0.921894704,0.964325659,FALSE +Mustard seed,Mustard seed,1,TRUE,Mustard seed,"Oil, mustard",,Rape and Mustard Oil and products,0.772188199,0.906606832,FALSE +Mustard seed,Mustard seed,1,TRUE,Mustard seed,"Flour, mustard",,Rape and Mustard Oil and products,0.772188199,0.906606832,FALSE +Mustard seed,Mustard seed,1,TRUE,Mustard seed,"Cake, mustard",,Rape and Mustard Cake,0.772188199,0.906606832,FALSE +Coconuts,Coconuts,1,TRUE,Coconuts,Copra,,Coconuts (including copra) and products,0.199996942,0.250353462,TRUE +Coconuts,Coconuts,1,TRUE,Coconuts,"Coconuts, desiccated",,Coconuts (including copra) and products,0.199996942,0.250353462,TRUE +Coconuts,Coconuts,1,TRUE,Coconuts,Coir,,QCL,0.199996942,0.250353462,TRUE +Coconuts,Coconuts,2,FALSE,Copra,"Oil, coconut (copra)",,Coconut Oil and products,0.949594442,1.021711161,TRUE +Coconuts,Coconuts,2,FALSE,Copra,"Cake, copra",,Copra Cake,0.949594442,1.021711161,TRUE +Sesame seed,Sesame seed,1,TRUE,Sesame seed,"Oil, sesame",,Sesameseed Oil and products,0.921607193,0.974784023,FALSE +Sesame seed,Sesame seed,1,TRUE,Sesame seed,"Cake, sesame seed",,Sesameseed Cake,0.921607193,0.974784023,FALSE +Olives,Olives,1,TRUE,Olives,Olives preserved,,Olives (including preserved) and products,0.346509871,0.475683954,TRUE +Olives,Olives,1,TRUE,Olives,"Oil, olive, virgin",,Olive Oil and products,0.346509871,0.475683954,TRUE +Olives,Olives,1,TRUE,Olives,"Oil, olive residues",,Olive Oil and products,0.346509871,0.475683954,TRUE +Olives,Olives,1,TRUE,Olives,"Cake, olive residues",,Estimated,0.346509871,0.475683954,TRUE +Linseed,Linseed,1,TRUE,Linseed,"Oil, linseed",,"Oilcrops, Other and products",0.917542006,0.956329598,TRUE +Linseed,Linseed,1,TRUE,Linseed,"Cake, linseed",,Estimated,0.917542006,0.956329598,TRUE +Castor oil seed,Castor oil seed,1,TRUE,Castor oil seed,"Oil, castor beans",,"Oilcrops Oil, Other and products",0.4,0.43961813,TRUE +Castor oil seed,Castor oil seed,2,FALSE,"Oil, castor beans","Castor oil, hydrogenated (opal wax)",,"Oilcrops Oil, Other and products",1,1,FALSE +Tallowtree seed,Tallowtree seed,1,TRUE,Tallowtree seed,Vegetable tallow,,"Oilcrops Oil, Other and products",0.15,0.15,TRUE +Karite nuts (sheanuts),Karite nuts (sheanuts),1,TRUE,Karite nuts (sheanuts),Butter of karite nuts,,"Oilcrops Oil, Other and products",0.299163129,0.292599938,TRUE +Kapok fruit,Kapok fruit,1,TRUE,Kapok fruit,Kapokseed in shell,,"Oilcrops, Other and products",1.029837176,1.040012446,FALSE +Kapok fruit,Kapok fruit,1,TRUE,Kapok fruit,Kapok fibre,,QCL,1.029837176,1.040012446,FALSE +Kapok fruit,Kapok fruit,2,FALSE,Kapokseed in shell,Kapokseed shelled,,"Oilcrops, Other and products",0.659998607,0.659998455,FALSE +Kapok fruit,Kapok fruit,3,FALSE,Kapokseed shelled,"Oil, kapok",,"Oilcrops Oil, Other and products",0.749993466,0.792471231,FALSE +Kapok fruit,Kapok fruit,3,FALSE,Kapokseed shelled,"Cake, kapok",,Estimated,0.749993466,0.792471231,FALSE +OilCropNES,OilCropNES,0,TRUE,Melonseed,Melonseed,,"Oilcrops, Other and products",,, +OilCropNES,OilCropNES,1,TRUE,Safflower seed,"Oil, safflower",,"Oilcrops Oil, Other and products",0.710838072,0.84546635,TRUE +OilCropNES,OilCropNES,1,TRUE,Safflower seed,"Cake, safflower",,Estimated,0.710838072,0.84546635,TRUE +OilCropNES,OilCropNES,2,TRUE,Jojoba seed,"Oil, jojoba",,"Oilcrops Oil, Other and products",1,1,FALSE +OilCropNES,OilCropNES,2,TRUE,Jojoba seed,"Cake, jojoba",,Estimated,1,1,FALSE +OilCropNES,OilCropNES,3,TRUE,Poppy seed,"Oil, poppy",,"Oilcrops Oil, Other and products",1,1,FALSE +OilCropNES,OilCropNES,3,TRUE,Poppy seed,"Cake, poppy",,Estimated,1,1,FALSE +OilCropNES,OilCropNES,4,TRUE,Hempseed,"Oil, hempseed",,"Oilcrops Oil, Other and products",0.560643519,0.673878058,FALSE +OilCropNES,OilCropNES,4,TRUE,Hempseed,"Cake, hempseed",,Estimated,0.560643519,0.673878058,FALSE +OilCropNES,OilCropNES,5,TRUE,Oilseeds nes,"Oil, vegetable origin nes",,"Oilcrops Oil, Other and products",0.76104,2.60284622,TRUE +OilCropNES,OilCropNES,5,TRUE,Oilseeds nes,"Cake, vegetable origin nes",,"Oilseed Cakes, Other",0.76104,2.60284622,TRUE +OilCropNES,OilCropNES,5,TRUE,Oilseeds nes,"Flour, oilseeds",,"Oilcrops, Other and products",0.76104,2.60284622,TRUE +OilCropNES,OilCropNES,6,TRUE,Tung nuts,"Oil, tung nuts",,"Oilcrops Oil, Other and products",0.174239784,0.170890194,TRUE +Seed cotton,Seed cotton,1,TRUE,Seed cotton,Cottonseed,,QCL,0.881238445,0.844809987,TRUE +Seed cotton,Seed cotton,1,TRUE,Seed cotton,Cotton lint,,QCL,0.881238445,0.844809987,TRUE +Seed cotton,Seed cotton,2,FALSE,Cottonseed,"Oil, cottonseed",,Cottonseed Oil and products,0.653978909,0.693275286,TRUE +Seed cotton,Seed cotton,2,FALSE,Cottonseed,"Cake, cottonseed",,Cottonseed Cake,0.653978909,0.693275286,TRUE +Seed cotton,Seed cotton,2,FALSE,Cottonseed,"Fiber, cottonseed",,Estimated,0.653978909,0.693275286,TRUE +FiberCropNES,FiberCropNES,0,TRUE,Agave fibres nes,Agave fibres nes,,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,"Bastfibres, other","Bastfibres, other",,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,Fibre crops nes,Fibre crops nes,,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,"Flax, raw or retted","Flax, raw or retted",,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,Hemp tow waste,Hemp tow waste,,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,Jute,Jute,,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,Manila fibre (abaca),Manila fibre (abaca),,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,Ramie,Ramie,,QCL,,, +FiberCropNES,FiberCropNES,0,TRUE,Sisal,Sisal,,QCL,,, +"Groundnuts, with shell","Groundnuts, with shell",1,TRUE,"Groundnuts, with shell","Groundnuts, shelled",,Groundnuts (Shelled Eq) and products,0.699976399,0.69951945,TRUE +"Groundnuts, with shell","Groundnuts, with shell",2,FALSE,"Groundnuts, shelled","Cake, groundnuts",,Groundnut Cake,0.925590681,0.824645889,TRUE +"Groundnuts, with shell","Groundnuts, with shell",2,FALSE,"Groundnuts, shelled","Groundnuts, prepared",,Groundnuts (Shelled Eq) and products,0.925590681,0.824645889,TRUE +"Groundnuts, with shell","Groundnuts, with shell",2,FALSE,"Groundnuts, shelled",Peanut butter,,Groundnuts (Shelled Eq) and products,0.925590681,0.824645889,TRUE +"Groundnuts, with shell","Groundnuts, with shell",2,FALSE,"Groundnuts, shelled","Oil, groundnut",,Groundnut Oil and products,0.925590681,0.824645889,TRUE +NutsSeedsNES,NutsSeedsNES,0,TRUE,Chestnut,Chestnut,,Nuts and products,,, +NutsSeedsNES,NutsSeedsNES,0,TRUE,Areca nuts,Areca nuts,,Nuts and products,,, +NutsSeedsNES,NutsSeedsNES,0,TRUE,Kola nuts,Kola nuts,,Nuts and products,,, +NutsSeedsNES,NutsSeedsNES,1,TRUE,"Brazil nuts, with shell","Brazil nuts, shelled",,Nuts and products,0.54998659,0.549990383,FALSE +NutsSeedsNES,NutsSeedsNES,2,TRUE,"Walnuts, with shell","Walnuts, shelled",,Nuts and products,0.418449069,0.483226707,TRUE +NutsSeedsNES,NutsSeedsNES,3,TRUE,"Cashew nuts, with shell","Cashew nuts, shelled",,Nuts and products,0.249908103,0.297210095,TRUE +NutsSeedsNES,NutsSeedsNES,4,TRUE,"Almonds, with shell",Almonds shelled,,Nuts and products,0.494881028,0.535778845,TRUE +NutsSeedsNES,NutsSeedsNES,5,TRUE,"Hazelnuts, with shell","Hazelnuts, shelled",,Nuts and products,0.499196224,0.498477673,TRUE +NutsSeedsNES,NutsSeedsNES,6,FALSE,"Brazil nuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE +NutsSeedsNES,NutsSeedsNES,6,FALSE,"Walnuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE +NutsSeedsNES,NutsSeedsNES,6,FALSE,"Cashew nuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE +NutsSeedsNES,NutsSeedsNES,6,TRUE,Nuts nes,"Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE +NutsSeedsNES,NutsSeedsNES,6,TRUE,Pistachios,"Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE +NutsSeedsNES,NutsSeedsNES,6,FALSE,Almonds shelled,"Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE +NutsSeedsNES,NutsSeedsNES,6,FALSE,"Hazelnuts, shelled","Nuts, prepared (exc. groundnuts)",,Nuts and products,0.944971077,1.093836446,TRUE Legumes,Legumes,1,TRUE,"Beans, dry","Flour, pulses",,"Pulses, Other and products",0.949902399,0.955596546,FALSE Legumes,Legumes,1,TRUE,"Peas, dry","Flour, pulses",,"Pulses, Other and products",0.949902399,0.955596546,FALSE Legumes,Legumes,1,TRUE,"Broad beans, horse beans, dry","Flour, pulses",,"Pulses, Other and products",0.949902399,0.955596546,FALSE @@ -177,20 +177,20 @@ Legumes,Legumes,1,TRUE,Bambara beans,"Bran, pulses",,"Pulses, Other and products Legumes,Legumes,1,TRUE,Vetches,"Bran, pulses",,"Pulses, Other and products",0.949902399,0.955596546,FALSE Legumes,Legumes,1,TRUE,Lupins,"Bran, pulses",,"Pulses, Other and products",0.949902399,0.955596546,FALSE Legumes,Legumes,1,TRUE,Pulses nes,"Bran, pulses",,"Pulses, Other and products",0.949902399,0.955596546,FALSE -RootTuber,Potatoes,1,TRUE,Potatoes,"Potatoes, frozen",,Potatoes and products,0.180310461,0.321982533,TRUE -RootTuber,Potatoes,1,TRUE,Potatoes,"Flour, potatoes",,Potatoes and products,0.180310461,0.321982533,TRUE -RootTuber,Potatoes,1,TRUE,Potatoes,"Starch, potatoes",,Potatoes and products,0.180310461,0.321982533,TRUE -RootTuber,Potatoes,1,TRUE,Potatoes,"Tapioca, potatoes",,Potatoes and products,0.180310461,0.321982533,TRUE -RootTuber,Cassava,1,TRUE,Cassava,Cassava dried,,Cassava and products,0.25,0.28767134,TRUE -RootTuber,Cassava,1,TRUE,Cassava,"Flour, cassava",,Cassava and products,0.25,0.28767134,TRUE -RootTuber,Cassava,1,TRUE,Cassava,"Starch, cassava",,Cassava and products,0.25,0.28767134,TRUE -RootTuber,Cassava,1,TRUE,Cassava,"Tapioca, cassava",,Cassava and products,0.25,0.28767134,TRUE -RootTuber,Sweet potatoes,0,TRUE,Sweet potatoes,Sweet potatoes,,Sweet potatoes and products,,, -RootTuber,Yams,0,TRUE,Yams,Yams,,Yams and products,,, -RootTuber,Roots and tubers nes,0,TRUE,Taro (cocoyam),Taro (cocoyam),,"Roots, Other and products",,, -RootTuber,Roots and tubers nes,0,TRUE,Yautia (cocoyam),Yautia (cocoyam),,"Roots, Other and products",,, -RootTuber,Roots and tubers nes,1,TRUE,Roots and tubers nes,Roots and tubers dried,,"Roots, Other and products",0.261715065,0.448975879,TRUE -RootTuber,Roots and tubers nes,1,TRUE,Roots and tubers nes,"Flour, roots and tubers nes",,"Roots, Other and products",0.261715065,0.448975879,TRUE +Potatoes,Potatoes,1,TRUE,Potatoes,"Potatoes, frozen",,Potatoes and products,0.180310461,0.321982533,TRUE +Potatoes,Potatoes,1,TRUE,Potatoes,"Flour, potatoes",,Potatoes and products,0.180310461,0.321982533,TRUE +Potatoes,Potatoes,1,TRUE,Potatoes,"Starch, potatoes",,Potatoes and products,0.180310461,0.321982533,TRUE +Potatoes,Potatoes,1,TRUE,Potatoes,"Tapioca, potatoes",,Potatoes and products,0.180310461,0.321982533,TRUE +Cassava,Cassava,1,TRUE,Cassava,Cassava dried,,Cassava and products,0.25,0.28767134,TRUE +Cassava,Cassava,1,TRUE,Cassava,"Flour, cassava",,Cassava and products,0.25,0.28767134,TRUE +Cassava,Cassava,1,TRUE,Cassava,"Starch, cassava",,Cassava and products,0.25,0.28767134,TRUE +Cassava,Cassava,1,TRUE,Cassava,"Tapioca, cassava",,Cassava and products,0.25,0.28767134,TRUE +Sweet potatoes,Sweet potatoes,0,TRUE,Sweet potatoes,Sweet potatoes,,Sweet potatoes and products,,, +Yams,Yams,0,TRUE,Yams,Yams,,Yams and products,,, +Roots and tubers nes,Roots and tubers nes,0,TRUE,Taro (cocoyam),Taro (cocoyam),,"Roots, Other and products",,, +Roots and tubers nes,Roots and tubers nes,0,TRUE,Yautia (cocoyam),Yautia (cocoyam),,"Roots, Other and products",,, +Roots and tubers nes,Roots and tubers nes,1,TRUE,Roots and tubers nes,Roots and tubers dried,,"Roots, Other and products",0.261715065,0.448975879,TRUE +Roots and tubers nes,Roots and tubers nes,1,TRUE,Roots and tubers nes,"Flour, roots and tubers nes",,"Roots, Other and products",0.261715065,0.448975879,TRUE SugarCrop,SugarCrop,1,TRUE,Sugar cane,Sugar non-centrifugal,,Sugar non-centrifugal and products,0.147197243,0.166534583,TRUE SugarCrop,SugarCrop,1,TRUE,Sugar cane,Sugar Raw Centrifugal,,Sugar (Raw Equivalent) and products,0.147197243,0.166534583,TRUE SugarCrop,SugarCrop,1,TRUE,Sugar cane,Molasses,,"Sweeteners, Other and products",0.147197243,0.166534583,TRUE @@ -203,111 +203,111 @@ SugarCrop,SugarCrop,1,TRUE,Sugar crops nes,Molasses,,"Sweeteners, Other and prod SugarCrop,SugarCrop,2,FALSE,Sugar Raw Centrifugal,Sugar refined,,Sugar (Raw Equivalent) and products,0.919999956,0.922708303,FALSE SugarCrop,SugarCrop,3,FALSE,Sugar refined,Sugar confectionery,,Sugar (Raw Equivalent) and products,0.399504543,0.397100961,TRUE SugarCrop,SugarCrop,3,FALSE,Sugar refined,Sugar nes,,"Sweeteners, Other and products",0.399504543,0.397100961,TRUE -Vegetables,Tomatoes,1,TRUE,Tomatoes,"Juice, tomato",,Tomatoes and products,0.311226649,0.365140358,TRUE -Vegetables,Tomatoes,1,TRUE,Tomatoes,"Tomatoes, paste",,Tomatoes and products,0.311226649,0.365140358,TRUE -Vegetables,Tomatoes,1,TRUE,Tomatoes,"Tomatoes, peeled",,Tomatoes and products,0.311226649,0.365140358,TRUE -Vegetables,"Maize, green",1,TRUE,"Maize, green",Sweet corn frozen,,"Vegetables, Other and products",0.4,0.3817711,TRUE -Vegetables,"Maize, green",1,TRUE,"Maize, green",Sweet corn prep or preserved,,"Vegetables, Other and products",0.4,0.3817711,TRUE -Vegetables,Mushrooms and truffles,1,TRUE,Mushrooms and truffles,"Mushrooms, dried",,"Vegetables, Other and products",0.373450077,0.427985642,TRUE -Vegetables,Mushrooms and truffles,1,TRUE,Mushrooms and truffles,"Mushrooms, canned",,"Vegetables, Other and products",0.373450077,0.427985642,TRUE -Vegetables,VegetablesNES,0,TRUE,Lettuce and chicory,Lettuce and chicory,,"Vegetables, Other and products",,, -Vegetables,VegetablesNES,0,TRUE,Cassava leaves,Cassava leaves,,"Vegetables, Other and products",,, -Vegetables,VegetablesNES,1,TRUE,"Chillies and peppers, dry","Juice, vegetables nes",,Pimento and products,0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Onions, dry",Vegetables in vinegar,,Onions and products,0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Onions, shallots, green","Vegetables, dehydrated",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Asparagus,"Vegetables, temporarily preserved",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Cabbages and other brassicas,"Coffee, substitutes containing coffee",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Cauliflowers and broccoli,"Vegetables, homogenized preparations",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Spinach,"Vegetables, preserved nes",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Artichokes,"Vegetables, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Watermelons,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Melons, other (inc.cantaloupes)","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Chillies and peppers, green","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Cucumbers and gherkins,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Eggplants (aubergines),"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Pumpkins, squash and gourds","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Peas, green","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Carrots and turnips,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Garlic,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Leeks, other alliaceous vegetables","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Carobs,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Chicory roots,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,Okra,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,String beans,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Beans, green","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Vegetables, leguminous nes","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Vegetables,VegetablesNES,1,TRUE,"Vegetables, fresh nes","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE -Fruits,Oranges,1,TRUE,Oranges,"Juice, orange, single strength",,"Oranges, Mandarines and products",0.170600118,0.214586992,TRUE -Fruits,Oranges,1,TRUE,"Tangerines, mandarins, clementines, satsumas","Juice, orange, concentrated",,"Oranges, Mandarines and products",0.170600118,0.214586992,TRUE -Fruits,Oranges,1,TRUE,"Tangerines, mandarins, clementines, satsumas","Juice, tangerine",,"Oranges, Mandarines and products",0.170600118,0.214586992,TRUE -Fruits,"Fruit, citrus nes",1,TRUE,"Fruit, citrus nes","Juice, citrus, single strength",,"Citrus, Other and products",0.219728444,0.52761965,TRUE -Fruits,"Fruit, citrus nes",1,TRUE,"Fruit, citrus nes","Juice, citrus, concentrated",,"Citrus, Other and products",0.219728444,0.52761965,TRUE -Fruits,Lemons and limes,1,TRUE,Lemons and limes,"Juice, lemon, single strength",,"Lemons, Limes and products",0.079779048,0.098793329,TRUE -Fruits,Lemons and limes,1,TRUE,Lemons and limes,"Juice, lemon, concentrated",,"Lemons, Limes and products",0.079779048,0.098793329,TRUE -Fruits,Grapefruit,1,TRUE,Grapefruit (inc. pomelos),"Juice, grapefruit",,Grapefruit and products,0.085280324,0.238875,TRUE -Fruits,Grapefruit,1,TRUE,Grapefruit (inc. pomelos),"Juice, grapefruit, concentrated",,Grapefruit and products,0.085280324,0.238875,TRUE -Fruits,Bananas,0,TRUE,Bananas,Bananas,,Bananas and products,,, -Fruits,Plantains and others,0,TRUE,Plantains and others,Plantains and others,,Plantains and products,,, -Fruits,Dates,0,TRUE,Dates,Dates,,Dates and products,,, -Fruits,Apples,1,TRUE,Apples,"Juice, apple, single strength",,Apples and products,0.138791116,0.153287256,TRUE -Fruits,Apples,1,TRUE,Apples,"Juice, apple, concentrated",,Apples and products,0.138791116,0.153287256,TRUE -Fruits,Pineapples,1,TRUE,Pineapples,"Juice, pineapple",,Pineapples and products,0.274980822,0.299192613,TRUE -Fruits,Pineapples,1,TRUE,Pineapples,Pineapples canned,,Pineapples and products,0.274980822,0.299192613,TRUE -Fruits,Pineapples,1,TRUE,Pineapples,"Juice, pineapple, concentrated",,Pineapples and products,0.274980822,0.299192613,TRUE -Fruits,Grapes,1,TRUE,Grapes,Raisins,,Grapes and products (excludingexcl wine) and products,0.02158648,0.202178004,TRUE -Fruits,Grapes,1,TRUE,Grapes,"Juice, grape",,Grapes and products (excludingexcl wine) and products,0.02158648,0.202178004,TRUE -Fruits,Grapes,1,TRUE,Grapes,"Grapes, must",,Grapes and products (excludingexcl wine) and products,0.02158648,0.202178004,TRUE -Fruits,FruitsNES,0,TRUE,Pears,Pears,,"Fruits, Other and products",,, -Fruits,FruitsNES,0,TRUE,Papayas,Papayas,,"Fruits, Other and products",,, -Fruits,FruitsNES,0,TRUE,Peaches and nectarines,Peaches and nectarines,,"Fruits, Other and products",,, -Fruits,FruitsNES,0,TRUE,Avocados,Avocados,,"Fruits, Other and products",,, -Fruits,FruitsNES,1,TRUE,"Cherries, sour","Fruits, nuts, peel, sugar preserved",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Cherries,"Fruit, cooked, homogenized preparations",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Strawberries,"Fruit, tropical dried nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Kiwi fruit,"Fruit, dried nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Quinces,"Juice, fruit nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Currants,"Flour, fruit",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Gooseberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Raspberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Blueberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Cranberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Berries nes,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Persimmons,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,Cashewapple,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,"Fruit, fresh nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,"Fruit, tropical fresh nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,"Fruit, pome nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,1,TRUE,"Fruit, stone nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE -Fruits,FruitsNES,2,TRUE,Apricots,"Apricots, dry",,"Fruits, Other and products",0.152231786,0.266753062,TRUE -Fruits,FruitsNES,2,TRUE,Figs,Figs dried,,"Fruits, Other and products",0.152231786,0.266753062,TRUE -Fruits,FruitsNES,3,TRUE,"Mangoes, mangosteens, guavas","Juice, mango",,"Fruits, Other and products",0.060836107,0.071881098,TRUE -Fruits,FruitsNES,4,TRUE,Plums and sloes,Plums dried (prunes),,"Fruits, Other and products",0.249143466,0.193750393,TRUE -Fruits,FruitsNES,4,TRUE,Plums and sloes,"Juice, plum, single strength",,"Fruits, Other and products",0.249143466,0.193750393,TRUE -Fruits,FruitsNES,4,TRUE,Plums and sloes,"Juice, plum, concentrated",,"Fruits, Other and products",0.249143466,0.193750393,TRUE -MiscCrop,"Coffee, green",1,TRUE,"Coffee, green","Coffee, roasted",,Coffee and products,0.38000016,0.651764179,TRUE -MiscCrop,"Coffee, green",1,TRUE,"Coffee, green","Coffee, extracts",,Coffee and products,0.38000016,0.651764179,TRUE -MiscCrop,"Cocoa, beans",1,TRUE,"Cocoa, beans","Cocoa, paste",,Cocoa Beans and products,0.799978398,0.799828386,FALSE -MiscCrop,"Cocoa, beans",2,FALSE,"Cocoa, paste","Cocoa, butter",,Cocoa Beans and products,0.99993497,1.015388297,FALSE -MiscCrop,"Cocoa, beans",2,FALSE,"Cocoa, paste","Cocoa, powder & cake",,Cocoa Beans and products,0.99993497,1.015388297,FALSE -MiscCrop,"Cocoa, beans",3,FALSE,"Cocoa, butter",Chocolate products nes,,Cocoa Beans and products,4.697977987,4.454539454,FALSE -MiscCrop,"Cocoa, beans",3,FALSE,"Cocoa, powder & cake",Chocolate products nes,,Cocoa Beans and products,4.697977987,4.454539454,FALSE -MiscCrop,MiscCropNES,0,TRUE,Tea,Tea,,Tea (including mate) and products,,, -MiscCrop,MiscCropNES,0,TRUE,Mate,Mate,,Tea (including mate) and products,,, -MiscCrop,MiscCropNES,0,TRUE,Pepper (piper spp.),Pepper (piper spp.),,Pepper and products,,, -MiscCrop,MiscCropNES,0,TRUE,Cloves,Cloves,,Cloves and products,,, -MiscCrop,MiscCropNES,0,TRUE,"Nutmeg, mace and cardamoms","Nutmeg, mace and cardamoms",,"Spices, Other and products",,, -MiscCrop,MiscCropNES,0,TRUE,"Anise, badian, fennel, coriander","Anise, badian, fennel, coriander",,"Spices, Other and products",,, -MiscCrop,MiscCropNES,0,TRUE,Cinnamon (cannella),Cinnamon (cannella),,"Spices, Other and products",,, -MiscCrop,MiscCropNES,0,TRUE,Ginger,Ginger,,"Spices, Other and products",,, -MiscCrop,MiscCropNES,0,TRUE,Vanilla,Vanilla,,"Spices, Other and products",,, -MiscCrop,MiscCropNES,0,TRUE,Spices nes,Spices nes,,"Spices, Other and products",,, -MiscCrop,MiscCropNES,0,TRUE,Peppermint,Peppermint,,QCL,,, -MiscCrop,MiscCropNES,0,TRUE,Hops,Hops,,QCL,,, -MiscCrop,MiscCropNES,0,TRUE,"Tobacco, unmanufactured","Tobacco, unmanufactured",,QCL,,, -MiscCrop,MiscCropNES,0,TRUE,"Rubber, natural","Rubber, natural",,QCL,,, -MiscCrop,MiscCropNES,0,TRUE,"Pyrethrum, dried","Pyrethrum, dried",,QCL,,, -Beef,BeefAnMeatEq,0,FALSE,"AnMeatEq, cattle","AnMeatEq, cattle",,QCL,,, -Beef,BeefAnMeatEq,0,FALSE,"AnMeatEq, buffalo","AnMeatEq, buffalo",,QCL,,, +Tomatoes,Tomatoes,1,TRUE,Tomatoes,"Juice, tomato",,Tomatoes and products,0.311226649,0.365140358,TRUE +Tomatoes,Tomatoes,1,TRUE,Tomatoes,"Tomatoes, paste",,Tomatoes and products,0.311226649,0.365140358,TRUE +Tomatoes,Tomatoes,1,TRUE,Tomatoes,"Tomatoes, peeled",,Tomatoes and products,0.311226649,0.365140358,TRUE +"Maize, green","Maize, green",1,TRUE,"Maize, green",Sweet corn frozen,,"Vegetables, Other and products",0.4,0.3817711,TRUE +"Maize, green","Maize, green",1,TRUE,"Maize, green",Sweet corn prep or preserved,,"Vegetables, Other and products",0.4,0.3817711,TRUE +Mushrooms and truffles,Mushrooms and truffles,1,TRUE,Mushrooms and truffles,"Mushrooms, dried",,"Vegetables, Other and products",0.373450077,0.427985642,TRUE +Mushrooms and truffles,Mushrooms and truffles,1,TRUE,Mushrooms and truffles,"Mushrooms, canned",,"Vegetables, Other and products",0.373450077,0.427985642,TRUE +VegetablesNES,VegetablesNES,0,TRUE,Lettuce and chicory,Lettuce and chicory,,"Vegetables, Other and products",,, +VegetablesNES,VegetablesNES,0,TRUE,Cassava leaves,Cassava leaves,,"Vegetables, Other and products",,, +VegetablesNES,VegetablesNES,1,TRUE,"Chillies and peppers, dry","Juice, vegetables nes",,Pimento and products,0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Onions, dry",Vegetables in vinegar,,Onions and products,0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Onions, shallots, green","Vegetables, dehydrated",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Asparagus,"Vegetables, temporarily preserved",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Cabbages and other brassicas,"Coffee, substitutes containing coffee",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Cauliflowers and broccoli,"Vegetables, homogenized preparations",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Spinach,"Vegetables, preserved nes",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Artichokes,"Vegetables, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Watermelons,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Melons, other (inc.cantaloupes)","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Chillies and peppers, green","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Cucumbers and gherkins,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Eggplants (aubergines),"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Pumpkins, squash and gourds","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Peas, green","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Carrots and turnips,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Garlic,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Leeks, other alliaceous vegetables","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Carobs,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Chicory roots,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,Okra,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,String beans,"Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Beans, green","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Vegetables, leguminous nes","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +VegetablesNES,VegetablesNES,1,TRUE,"Vegetables, fresh nes","Vegetables, preserved, frozen",,"Vegetables, Other and products",0.709929554,0.803273208,TRUE +Oranges,Oranges,1,TRUE,Oranges,"Juice, orange, single strength",,"Oranges, Mandarines and products",0.170600118,0.214586992,TRUE +Oranges,Oranges,1,TRUE,"Tangerines, mandarins, clementines, satsumas","Juice, orange, concentrated",,"Oranges, Mandarines and products",0.170600118,0.214586992,TRUE +Oranges,Oranges,1,TRUE,"Tangerines, mandarins, clementines, satsumas","Juice, tangerine",,"Oranges, Mandarines and products",0.170600118,0.214586992,TRUE +"Fruit, citrus nes","Fruit, citrus nes",1,TRUE,"Fruit, citrus nes","Juice, citrus, single strength",,"Citrus, Other and products",0.219728444,0.52761965,TRUE +"Fruit, citrus nes","Fruit, citrus nes",1,TRUE,"Fruit, citrus nes","Juice, citrus, concentrated",,"Citrus, Other and products",0.219728444,0.52761965,TRUE +Lemons and limes,Lemons and limes,1,TRUE,Lemons and limes,"Juice, lemon, single strength",,"Lemons, Limes and products",0.079779048,0.098793329,TRUE +Lemons and limes,Lemons and limes,1,TRUE,Lemons and limes,"Juice, lemon, concentrated",,"Lemons, Limes and products",0.079779048,0.098793329,TRUE +Grapefruit,Grapefruit,1,TRUE,Grapefruit (inc. pomelos),"Juice, grapefruit",,Grapefruit and products,0.085280324,0.238875,TRUE +Grapefruit,Grapefruit,1,TRUE,Grapefruit (inc. pomelos),"Juice, grapefruit, concentrated",,Grapefruit and products,0.085280324,0.238875,TRUE +Bananas,Bananas,0,TRUE,Bananas,Bananas,,Bananas and products,,, +Plantains and others,Plantains and others,0,TRUE,Plantains and others,Plantains and others,,Plantains and products,,, +Dates,Dates,0,TRUE,Dates,Dates,,Dates and products,,, +Apples,Apples,1,TRUE,Apples,"Juice, apple, single strength",,Apples and products,0.138791116,0.153287256,TRUE +Apples,Apples,1,TRUE,Apples,"Juice, apple, concentrated",,Apples and products,0.138791116,0.153287256,TRUE +Pineapples,Pineapples,1,TRUE,Pineapples,"Juice, pineapple",,Pineapples and products,0.274980822,0.299192613,TRUE +Pineapples,Pineapples,1,TRUE,Pineapples,Pineapples canned,,Pineapples and products,0.274980822,0.299192613,TRUE +Pineapples,Pineapples,1,TRUE,Pineapples,"Juice, pineapple, concentrated",,Pineapples and products,0.274980822,0.299192613,TRUE +Grapes,Grapes,1,TRUE,Grapes,Raisins,,Grapes and products (excludingexcl wine) and products,0.02158648,0.202178004,TRUE +Grapes,Grapes,1,TRUE,Grapes,"Juice, grape",,Grapes and products (excludingexcl wine) and products,0.02158648,0.202178004,TRUE +Grapes,Grapes,1,TRUE,Grapes,"Grapes, must",,Grapes and products (excludingexcl wine) and products,0.02158648,0.202178004,TRUE +FruitsNES,FruitsNES,0,TRUE,Pears,Pears,,"Fruits, Other and products",,, +FruitsNES,FruitsNES,0,TRUE,Papayas,Papayas,,"Fruits, Other and products",,, +FruitsNES,FruitsNES,0,TRUE,Peaches and nectarines,Peaches and nectarines,,"Fruits, Other and products",,, +FruitsNES,FruitsNES,0,TRUE,Avocados,Avocados,,"Fruits, Other and products",,, +FruitsNES,FruitsNES,1,TRUE,"Cherries, sour","Fruits, nuts, peel, sugar preserved",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Cherries,"Fruit, cooked, homogenized preparations",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Strawberries,"Fruit, tropical dried nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Kiwi fruit,"Fruit, dried nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Quinces,"Juice, fruit nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Currants,"Flour, fruit",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Gooseberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Raspberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Blueberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Cranberries,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Berries nes,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Persimmons,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,Cashewapple,"Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,"Fruit, fresh nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,"Fruit, tropical fresh nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,"Fruit, pome nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,1,TRUE,"Fruit, stone nes","Fruit, prepared nes",,"Fruits, Other and products",0.714237324,1.196438313,TRUE +FruitsNES,FruitsNES,2,TRUE,Apricots,"Apricots, dry",,"Fruits, Other and products",0.152231786,0.266753062,TRUE +FruitsNES,FruitsNES,2,TRUE,Figs,Figs dried,,"Fruits, Other and products",0.152231786,0.266753062,TRUE +FruitsNES,FruitsNES,3,TRUE,"Mangoes, mangosteens, guavas","Juice, mango",,"Fruits, Other and products",0.060836107,0.071881098,TRUE +FruitsNES,FruitsNES,4,TRUE,Plums and sloes,Plums dried (prunes),,"Fruits, Other and products",0.249143466,0.193750393,TRUE +FruitsNES,FruitsNES,4,TRUE,Plums and sloes,"Juice, plum, single strength",,"Fruits, Other and products",0.249143466,0.193750393,TRUE +FruitsNES,FruitsNES,4,TRUE,Plums and sloes,"Juice, plum, concentrated",,"Fruits, Other and products",0.249143466,0.193750393,TRUE +"Coffee, green","Coffee, green",1,TRUE,"Coffee, green","Coffee, roasted",,Coffee and products,0.38000016,0.651764179,TRUE +"Coffee, green","Coffee, green",1,TRUE,"Coffee, green","Coffee, extracts",,Coffee and products,0.38000016,0.651764179,TRUE +"Cocoa, beans","Cocoa, beans",1,TRUE,"Cocoa, beans","Cocoa, paste",,Cocoa Beans and products,0.799978398,0.799828386,FALSE +"Cocoa, beans","Cocoa, beans",2,FALSE,"Cocoa, paste","Cocoa, butter",,Cocoa Beans and products,0.99993497,1.015388297,FALSE +"Cocoa, beans","Cocoa, beans",2,FALSE,"Cocoa, paste","Cocoa, powder & cake",,Cocoa Beans and products,0.99993497,1.015388297,FALSE +"Cocoa, beans","Cocoa, beans",3,FALSE,"Cocoa, butter",Chocolate products nes,,Cocoa Beans and products,4.697977987,4.454539454,FALSE +"Cocoa, beans","Cocoa, beans",3,FALSE,"Cocoa, powder & cake",Chocolate products nes,,Cocoa Beans and products,4.697977987,4.454539454,FALSE +MiscCropNES,MiscCropNES,0,TRUE,Tea,Tea,,Tea (including mate) and products,,, +MiscCropNES,MiscCropNES,0,TRUE,Mate,Mate,,Tea (including mate) and products,,, +MiscCropNES,MiscCropNES,0,TRUE,Pepper (piper spp.),Pepper (piper spp.),,Pepper and products,,, +MiscCropNES,MiscCropNES,0,TRUE,Cloves,Cloves,,Cloves and products,,, +MiscCropNES,MiscCropNES,0,TRUE,"Nutmeg, mace and cardamoms","Nutmeg, mace and cardamoms",,"Spices, Other and products",,, +MiscCropNES,MiscCropNES,0,TRUE,"Anise, badian, fennel, coriander","Anise, badian, fennel, coriander",,"Spices, Other and products",,, +MiscCropNES,MiscCropNES,0,TRUE,Cinnamon (cannella),Cinnamon (cannella),,"Spices, Other and products",,, +MiscCropNES,MiscCropNES,0,TRUE,Ginger,Ginger,,"Spices, Other and products",,, +MiscCropNES,MiscCropNES,0,TRUE,Vanilla,Vanilla,,"Spices, Other and products",,, +MiscCropNES,MiscCropNES,0,TRUE,Spices nes,Spices nes,,"Spices, Other and products",,, +MiscCropNES,MiscCropNES,0,TRUE,Peppermint,Peppermint,,QCL,,, +MiscCropNES,MiscCropNES,0,TRUE,Hops,Hops,,QCL,,, +MiscCropNES,MiscCropNES,0,TRUE,"Tobacco, unmanufactured","Tobacco, unmanufactured",,QCL,,, +MiscCropNES,MiscCropNES,0,TRUE,"Rubber, natural","Rubber, natural",,QCL,,, +MiscCropNES,MiscCropNES,0,TRUE,"Pyrethrum, dried","Pyrethrum, dried",,QCL,,, +BeefAnMeatEq,BeefAnMeatEq,0,FALSE,"AnMeatEq, cattle","AnMeatEq, cattle",,QCL,,, +BeefAnMeatEq,BeefAnMeatEq,0,FALSE,"AnMeatEq, buffalo","AnMeatEq, buffalo",,QCL,,, Beef,Beef,1,TRUE,"Meat, cattle","Meat, beef, dried, salted, smoked",,Bovine Meat and products,0.688422511,0.836132861,TRUE Beef,Beef,1,TRUE,"Meat, cattle","Meat, extracts",,Bovine Meat and products,0.688422511,0.836132861,TRUE Beef,Beef,1,TRUE,"Meat, cattle","Meat, cattle, boneless (beef & veal)",,Bovine Meat and products,0.688422511,0.836132861,TRUE @@ -323,37 +323,37 @@ Beef,Beef,1,TRUE,"Meat, buffalo","Meat, homogenized preparations",,Bovine Meat a Beef,Beef,1,TRUE,"Meat, buffalo","Meat, beef, preparations",,Bovine Meat and products,0.688422511,0.836132861,TRUE Beef,Beef,1,TRUE,"Meat, buffalo","Fat, cattle butcher",,Bovine Meat and products,0.688422511,0.836132861,TRUE Beef,Beef,2,FALSE,"Fat, cattle butcher",Tallow,,"Fats, Animals, Raw and products",1.746713306,2.458083614,FALSE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, skimmed cow",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, whole dried",0.15,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, whole evaporated",0.4,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, whole condensed",0.33,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow",Yoghurt,,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Whey, fresh",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Cheese, whole cow milk",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, skimmed cow",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow",Cream fresh,,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Butter, cow milk",,"Butter, Ghee and products",0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Ghee, butteroil of cow milk",,"Butter, Ghee and products",0.739010126,0.857196004,TRUE -Dairy,"Milk, whole fresh cow",2,FALSE,Cream fresh,Ice cream and edible ice,,Milk - (Excluding excluding Butter butter) and products,1,18.13888677,FALSE -Dairy,"Milk, whole fresh cow",2,FALSE,Cream fresh,"Cheese, processed",,Milk - (Excluding excluding Butter butter) and products,1,18.13888677,FALSE -Dairy,"Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Cheese, skimmed cow milk",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE -Dairy,"Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, skimmed condensed",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE -Dairy,"Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, skimmed evaporated",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE -Dairy,"Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, skimmed dried",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE -Dairy,"Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, dry buttermilk",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE -Dairy,"Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow",Casein,,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE -Dairy,"Milk, whole fresh camel",0,TRUE,"Milk, whole fresh camel","Milk, whole fresh camel",,Milk - (Excluding excluding Butter butter) and products,,, -Dairy,"Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Ghee, buffalo milk",,"Butter, Ghee and products",0.823862301,0.9799144,TRUE -Dairy,"Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Butter, buffalo milk",,"Butter, Ghee and products",0.823862301,0.9799144,TRUE -Dairy,"Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Cheese, buffalo milk",,Milk - (Excluding excluding Butter butter) and products,0.823862301,0.9799144,TRUE -Dairy,"Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Milk, skimmed buffalo",,Milk - (Excluding excluding Butter butter) and products,0.823862301,0.9799144,TRUE -Dairy,"Milk, whole fresh goat",1,TRUE,"Milk, whole fresh goat","Butter, goat milk",,"Butter, Ghee and products",0.144438676,0.212862378,TRUE -Dairy,"Milk, whole fresh goat",1,TRUE,"Milk, whole fresh goat","Cheese, goat milk",,Milk - (Excluding excluding Butter butter) and products,0.144438676,0.212862378,TRUE -Dairy,"Milk, whole fresh goat",1,TRUE,"Milk, whole fresh goat","Milk, skimmed goat",,Milk - (Excluding excluding Butter butter) and products,0.144438676,0.212862378,TRUE -Dairy,"Milk, whole fresh sheep",1,TRUE,"Milk, whole fresh sheep","Butter and ghee, sheep milk",,"Butter, Ghee and products",0.193182289,0.444776412,TRUE -Dairy,"Milk, whole fresh sheep",1,TRUE,"Milk, whole fresh sheep","Cheese, sheep milk",,Milk - (Excluding excluding Butter butter) and products,0.193182289,0.444776412,TRUE -Dairy,"Milk, whole fresh sheep",1,TRUE,"Milk, whole fresh sheep","Milk, skimmed sheep",,Milk - (Excluding excluding Butter butter) and products,0.193182289,0.444776412,TRUE -Pork,PorkAnMeatEq,0,FALSE,"AnMeatEq, pig","AnMeatEq, pig",,QCL,,, +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, skimmed cow",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, whole dried",0.15,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, whole evaporated",0.4,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, whole condensed",0.33,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow",Yoghurt,,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Whey, fresh",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Cheese, whole cow milk",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Milk, skimmed cow",,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow",Cream fresh,,Milk - (Excluding excluding Butter butter) and products,0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Butter, cow milk",,"Butter, Ghee and products",0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",1,TRUE,"Milk, whole fresh cow","Ghee, butteroil of cow milk",,"Butter, Ghee and products",0.739010126,0.857196004,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",2,FALSE,Cream fresh,Ice cream and edible ice,,Milk - (Excluding excluding Butter butter) and products,1,18.13888677,FALSE +"Milk, whole fresh cow","Milk, whole fresh cow",2,FALSE,Cream fresh,"Cheese, processed",,Milk - (Excluding excluding Butter butter) and products,1,18.13888677,FALSE +"Milk, whole fresh cow","Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Cheese, skimmed cow milk",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, skimmed condensed",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, skimmed evaporated",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, skimmed dried",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow","Milk, dry buttermilk",,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE +"Milk, whole fresh cow","Milk, whole fresh cow",3,FALSE,"Milk, skimmed cow",Casein,,Milk - (Excluding excluding Butter butter) and products,0.086607747,0.105683292,TRUE +"Milk, whole fresh camel","Milk, whole fresh camel",0,TRUE,"Milk, whole fresh camel","Milk, whole fresh camel",,Milk - (Excluding excluding Butter butter) and products,,, +"Milk, whole fresh buffalo","Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Ghee, buffalo milk",,"Butter, Ghee and products",0.823862301,0.9799144,TRUE +"Milk, whole fresh buffalo","Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Butter, buffalo milk",,"Butter, Ghee and products",0.823862301,0.9799144,TRUE +"Milk, whole fresh buffalo","Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Cheese, buffalo milk",,Milk - (Excluding excluding Butter butter) and products,0.823862301,0.9799144,TRUE +"Milk, whole fresh buffalo","Milk, whole fresh buffalo",1,TRUE,"Milk, whole fresh buffalo","Milk, skimmed buffalo",,Milk - (Excluding excluding Butter butter) and products,0.823862301,0.9799144,TRUE +"Milk, whole fresh goat","Milk, whole fresh goat",1,TRUE,"Milk, whole fresh goat","Butter, goat milk",,"Butter, Ghee and products",0.144438676,0.212862378,TRUE +"Milk, whole fresh goat","Milk, whole fresh goat",1,TRUE,"Milk, whole fresh goat","Cheese, goat milk",,Milk - (Excluding excluding Butter butter) and products,0.144438676,0.212862378,TRUE +"Milk, whole fresh goat","Milk, whole fresh goat",1,TRUE,"Milk, whole fresh goat","Milk, skimmed goat",,Milk - (Excluding excluding Butter butter) and products,0.144438676,0.212862378,TRUE +"Milk, whole fresh sheep","Milk, whole fresh sheep",1,TRUE,"Milk, whole fresh sheep","Butter and ghee, sheep milk",,"Butter, Ghee and products",0.193182289,0.444776412,TRUE +"Milk, whole fresh sheep","Milk, whole fresh sheep",1,TRUE,"Milk, whole fresh sheep","Cheese, sheep milk",,Milk - (Excluding excluding Butter butter) and products,0.193182289,0.444776412,TRUE +"Milk, whole fresh sheep","Milk, whole fresh sheep",1,TRUE,"Milk, whole fresh sheep","Milk, skimmed sheep",,Milk - (Excluding excluding Butter butter) and products,0.193182289,0.444776412,TRUE +PorkAnMeatEq,PorkAnMeatEq,0,FALSE,"AnMeatEq, pig","AnMeatEq, pig",,QCL,,, Pork,Pork,1,TRUE,"Meat, pig","Meat, pork",,Pigmeat and products,0.837720197,0.926485113,FALSE Pork,Pork,1,TRUE,"Meat, pig","Meat, pig sausages",,Pigmeat and products,0.837720197,0.926485113,FALSE Pork,Pork,1,TRUE,"Meat, pig","Meat, pig, preparations",,Pigmeat and products,0.837720197,0.926485113,FALSE @@ -361,87 +361,87 @@ Pork,Pork,1,TRUE,"Meat, pig",Bacon and ham,,Pigmeat and products,0.837720197,0.9 Pork,Pork,1,TRUE,"Meat, pig","Fat, pig butcher",,"Fats, Animals, Raw and products",0.837720197,0.926485113,FALSE Pork,Pork,2,FALSE,"Fat, pig butcher",Lard stearine oil,,"Fats, Animals, Raw and products",0.811702355,1.40447783,TRUE Pork,Pork,2,FALSE,"Fat, pig butcher",Lard,,"Fats, Animals, Raw and products",0.811702355,1.40447783,TRUE -Poultry,PoultryAnMeatEq,0,FALSE,"AnMeatEq, duck","AnMeatEq, duck",,QCL,,, -Poultry,PoultryAnMeatEq,0,FALSE,"AnMeatEq, chicken","AnMeatEq, chicken",,QCL,,, -Poultry,PoultryAnMeatEq,0,FALSE,"AnMeatEq, goose and guinea fowl","AnMeatEq, goose and guinea fowl",,QCL,,, -Poultry,PoultryAnMeatEq,0,FALSE,"AnMeatEq, turkey","AnMeatEq, turkey",,QCL,,, -Poultry,PoultryMeat,0,TRUE,"Meat, duck","Meat, duck",,Poultry Meat and products,,, -Poultry,PoultryMeat,0,TRUE,"Meat, goose and guinea fowl","Meat, goose and guinea fowl",,Poultry Meat and products,,, -Poultry,PoultryMeat,0,TRUE,"Meat, turkey","Meat, turkey",,Poultry Meat and products,,, -Poultry,PoultryMeat,1,TRUE,"Meat, chicken","Fat, liver prepared (foie gras)",,Poultry Meat and products,0.789787391,0.751975427,TRUE -Poultry,PoultryMeat,1,TRUE,"Meat, chicken","Meat, chicken, canned",,Poultry Meat and products,0.789787391,0.751975427,TRUE -Poultry,PoultryMeat,1,TRUE,"Meat, chicken","Fat, poultry",,"Fats, Animals, Raw and products",0.789787391,0.751975427,TRUE -Poultry,PoultryMeat,2,FALSE,"Fat, poultry","Fat, poultry, rendered",,"Fats, Animals, Raw and products",0.8,0.806951132,FALSE -Poultry,PoultryEgg,0,TRUE,"Eggs, other bird, in shell","Eggs, other bird, in shell",,Eggs and products,,, -Poultry,PoultryEgg,1,TRUE,"Eggs, hen, in shell",Egg albumine,,Eggs and products,0.525059714,0.5850148,TRUE -Poultry,PoultryEgg,1,TRUE,"Eggs, hen, in shell","Eggs, liquid",,Eggs and products,0.525059714,0.5850148,TRUE -Poultry,PoultryEgg,1,TRUE,"Eggs, hen, in shell","Eggs, dried",,Eggs and products,0.525059714,0.5850148,TRUE -SheepGoat,SheepGoatAnMeatEq,0,FALSE,"AnMeatEq, sheep","AnMeatEq, sheep",,QCL,,, -SheepGoat,SheepGoatAnMeatEq,0,FALSE,"AnMeatEq, goat","AnMeatEq, goat",,QCL,,, +PoultryAnMeatEq,PoultryAnMeatEq,0,FALSE,"AnMeatEq, duck","AnMeatEq, duck",,QCL,,, +PoultryAnMeatEq,PoultryAnMeatEq,0,FALSE,"AnMeatEq, chicken","AnMeatEq, chicken",,QCL,,, +PoultryAnMeatEq,PoultryAnMeatEq,0,FALSE,"AnMeatEq, goose and guinea fowl","AnMeatEq, goose and guinea fowl",,QCL,,, +PoultryAnMeatEq,PoultryAnMeatEq,0,FALSE,"AnMeatEq, turkey","AnMeatEq, turkey",,QCL,,, +PoultryMeat,PoultryMeat,0,TRUE,"Meat, duck","Meat, duck",,Poultry Meat and products,,, +PoultryMeat,PoultryMeat,0,TRUE,"Meat, goose and guinea fowl","Meat, goose and guinea fowl",,Poultry Meat and products,,, +PoultryMeat,PoultryMeat,0,TRUE,"Meat, turkey","Meat, turkey",,Poultry Meat and products,,, +PoultryMeat,PoultryMeat,1,TRUE,"Meat, chicken","Fat, liver prepared (foie gras)",,Poultry Meat and products,0.789787391,0.751975427,TRUE +PoultryMeat,PoultryMeat,1,TRUE,"Meat, chicken","Meat, chicken, canned",,Poultry Meat and products,0.789787391,0.751975427,TRUE +PoultryMeat,PoultryMeat,1,TRUE,"Meat, chicken","Fat, poultry",,"Fats, Animals, Raw and products",0.789787391,0.751975427,TRUE +PoultryMeat,PoultryMeat,2,FALSE,"Fat, poultry","Fat, poultry, rendered",,"Fats, Animals, Raw and products",0.8,0.806951132,FALSE +PoultryEgg,PoultryEgg,0,TRUE,"Eggs, other bird, in shell","Eggs, other bird, in shell",,Eggs and products,,, +PoultryEgg,PoultryEgg,1,TRUE,"Eggs, hen, in shell",Egg albumine,,Eggs and products,0.525059714,0.5850148,TRUE +PoultryEgg,PoultryEgg,1,TRUE,"Eggs, hen, in shell","Eggs, liquid",,Eggs and products,0.525059714,0.5850148,TRUE +PoultryEgg,PoultryEgg,1,TRUE,"Eggs, hen, in shell","Eggs, dried",,Eggs and products,0.525059714,0.5850148,TRUE +SheepGoatAnMeatEq,SheepGoatAnMeatEq,0,FALSE,"AnMeatEq, sheep","AnMeatEq, sheep",,QCL,,, +SheepGoatAnMeatEq,SheepGoatAnMeatEq,0,FALSE,"AnMeatEq, goat","AnMeatEq, goat",,QCL,,, SheepGoat,SheepGoat,0,TRUE,"Meat, sheep","Meat, sheep",,Mutton & and Goat Meat and products,,, SheepGoat,SheepGoat,0,TRUE,"Meat, goat","Meat, goat",,Mutton & and Goat Meat and products,,, -OtherMeat_Fish,Fish,0,TRUE,Freshwater Fish,Freshwater Fish,,Freshwater Fish,,, -OtherMeat_Fish,Fish,0,TRUE,"Fish, Body Oil","Fish, Body Oil",,"Fish, Body Oil",,, -OtherMeat_Fish,Fish,0,TRUE,"Fish, Liver Oil","Fish, Liver Oil",,"Fish, Liver Oil",,, -OtherMeat_Fish,Fish,0,TRUE,Demersal Fish,Demersal Fish,,Demersal Fish,,, -OtherMeat_Fish,Fish,0,TRUE,Pelagic Fish,Pelagic Fish,,Pelagic Fish,,, -OtherMeat_Fish,Fish,0,TRUE,"Marine Fish, Other","Marine Fish, Other",,"Marine Fish, Other",,, -OtherMeat_Fish,Fish,0,TRUE,Crustaceans,Crustaceans,,Crustaceans,,, -OtherMeat_Fish,Fish,0,TRUE,Cephalopods,Cephalopods,,Cephalopods,,, -OtherMeat_Fish,Fish,0,TRUE,"Molluscs, Other","Molluscs, Other",,"Molluscs, Other",,, -OtherMeat_Fish,Fish,0,TRUE,"Aquatic Animals, Others","Aquatic Animals, Others",,"Aquatic Animals, Others",,, -OtherMeat_Fish,Fish,0,TRUE,Aquatic Plants,Aquatic Plants,,Aquatic Plants,,, -OtherMeat_Fish,Fish,0,TRUE,"Meat, Aquatic Mammals","Meat, Aquatic Mammals",,"Meat, Aquatic Mammals",,, -OtherMeat_Fish,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, rabbit","AnMeatEq, rabbit",,QCL,,, -OtherMeat_Fish,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, camel","AnMeatEq, camel",,QCL,,, -OtherMeat_Fish,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, other camelids","AnMeatEq, other camelids",,QCL,,, -OtherMeat_Fish,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, horse","AnMeatEq, horse",,QCL,,, -OtherMeat_Fish,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, ass","AnMeatEq, ass",,QCL,,, -OtherMeat_Fish,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, mule","AnMeatEq, mule",,QCL,,, -OtherMeat_Fish,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, other rodents","AnMeatEq, other rodents",,QCL,,, -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, rabbit","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, camel","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, other camelids","Meat nes, preparations",,QCL,0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, horse","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, ass","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, mule","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, other rodents","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, bird nes","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, game","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,Meat nes,"Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, rabbit","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, camel","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, other camelids","Meat, dried nes",,QCL,0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, horse","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, ass","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, mule","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, other rodents","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, bird nes","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,"Meat, game","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatMeat,1,TRUE,Meat nes,"Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, edible, cattle","Offals, edible, cattle",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, edible, buffaloes","Offals, edible, buffaloes",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, pigs, edible","Offals, pigs, edible",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, sheep,edible","Offals, sheep,edible",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, edible, goats","Offals, edible, goats",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, horses","Offals, horses",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, edible, camels","Offals, edible, camels",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, liver chicken","Offals, liver chicken",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, liver geese","Offals, liver geese",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, liver duck","Offals, liver duck",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,"Offals, liver turkeys","Offals, liver turkeys",,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,Offals nes,Offals nes,,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatOffals,0,TRUE,Liver prep.,Liver prep.,,"Offals, Edible and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat, cattle","Fat, cattle",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat, buffaloes","Fat, buffaloes",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat, sheep","Fat, sheep",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat, goats","Fat, goats",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat, pigs","Fat, pigs",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat, camels","Fat, camels",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat, other camelids","Fat, other camelids",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Oils, fats of animal nes","Oils, fats of animal nes",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,Degras,Degras,,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,Grease incl. lanolin wool,Grease incl. lanolin wool,,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatFat,0,TRUE,"Fat nes, prepared","Fat nes, prepared",,"Fats, Animals, Raw and products",,, -OtherMeat_Fish,OtherMeatOther,0,TRUE,"Honey, natural","Honey, natural",,Honey and products,,, -OtherMeat_Fish,OtherMeatOther,0,TRUE,"Snails, not sea","Snails, not sea",,"Meat, Other and products",,, +Fish,Fish,0,TRUE,Freshwater Fish,Freshwater Fish,,Freshwater Fish,,, +Fish,Fish,0,TRUE,"Fish, Body Oil","Fish, Body Oil",,"Fish, Body Oil",,, +Fish,Fish,0,TRUE,"Fish, Liver Oil","Fish, Liver Oil",,"Fish, Liver Oil",,, +Fish,Fish,0,TRUE,Demersal Fish,Demersal Fish,,Demersal Fish,,, +Fish,Fish,0,TRUE,Pelagic Fish,Pelagic Fish,,Pelagic Fish,,, +Fish,Fish,0,TRUE,"Marine Fish, Other","Marine Fish, Other",,"Marine Fish, Other",,, +Fish,Fish,0,TRUE,Crustaceans,Crustaceans,,Crustaceans,,, +Fish,Fish,0,TRUE,Cephalopods,Cephalopods,,Cephalopods,,, +Fish,Fish,0,TRUE,"Molluscs, Other","Molluscs, Other",,"Molluscs, Other",,, +Fish,Fish,0,TRUE,"Aquatic Animals, Others","Aquatic Animals, Others",,"Aquatic Animals, Others",,, +Fish,Fish,0,TRUE,Aquatic Plants,Aquatic Plants,,Aquatic Plants,,, +Fish,Fish,0,TRUE,"Meat, Aquatic Mammals","Meat, Aquatic Mammals",,"Meat, Aquatic Mammals",,, +OtherMeatAnMeatEq,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, rabbit","AnMeatEq, rabbit",,QCL,,, +OtherMeatAnMeatEq,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, camel","AnMeatEq, camel",,QCL,,, +OtherMeatAnMeatEq,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, other camelids","AnMeatEq, other camelids",,QCL,,, +OtherMeatAnMeatEq,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, horse","AnMeatEq, horse",,QCL,,, +OtherMeatAnMeatEq,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, ass","AnMeatEq, ass",,QCL,,, +OtherMeatAnMeatEq,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, mule","AnMeatEq, mule",,QCL,,, +OtherMeatAnMeatEq,OtherMeatAnMeatEq,0,FALSE,"AnMeatEq, other rodents","AnMeatEq, other rodents",,QCL,,, +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, rabbit","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, camel","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, other camelids","Meat nes, preparations",,QCL,0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, horse","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, ass","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, mule","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, other rodents","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, bird nes","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, game","Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,Meat nes,"Meat nes, preparations",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, rabbit","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, camel","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, other camelids","Meat, dried nes",,QCL,0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, horse","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, ass","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, mule","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, other rodents","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, bird nes","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,"Meat, game","Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatMeat,OtherMeatMeat,1,TRUE,Meat nes,"Meat, dried nes",,"Meat, Other and products",0.631443499,4.400217214,TRUE +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, edible, cattle","Offals, edible, cattle",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, edible, buffaloes","Offals, edible, buffaloes",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, pigs, edible","Offals, pigs, edible",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, sheep,edible","Offals, sheep,edible",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, edible, goats","Offals, edible, goats",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, horses","Offals, horses",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, edible, camels","Offals, edible, camels",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, liver chicken","Offals, liver chicken",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, liver geese","Offals, liver geese",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, liver duck","Offals, liver duck",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,"Offals, liver turkeys","Offals, liver turkeys",,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,Offals nes,Offals nes,,"Offals, Edible and products",,, +OtherMeatOffals,OtherMeatOffals,0,TRUE,Liver prep.,Liver prep.,,"Offals, Edible and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat, cattle","Fat, cattle",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat, buffaloes","Fat, buffaloes",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat, sheep","Fat, sheep",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat, goats","Fat, goats",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat, pigs","Fat, pigs",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat, camels","Fat, camels",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat, other camelids","Fat, other camelids",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Oils, fats of animal nes","Oils, fats of animal nes",,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,Degras,Degras,,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,Grease incl. lanolin wool,Grease incl. lanolin wool,,"Fats, Animals, Raw and products",,, +OtherMeatFat,OtherMeatFat,0,TRUE,"Fat nes, prepared","Fat nes, prepared",,"Fats, Animals, Raw and products",,, +OtherMeatOther,OtherMeatOther,0,TRUE,"Honey, natural","Honey, natural",,Honey and products,,, +OtherMeatOther,OtherMeatOther,0,TRUE,"Snails, not sea","Snails, not sea",,"Meat, Other and products",,, diff --git a/inst/extdata/FAOSTAT/SUA_item_code_map.csv b/inst/extdata/FAOSTAT/SUA_item_code_map.csv new file mode 100644 index 000000000..fb0c38490 --- /dev/null +++ b/inst/extdata/FAOSTAT/SUA_item_code_map.csv @@ -0,0 +1,545 @@ +# File: SUA_item_code_map.csv +# Title: Mapping of SUA items to their item_code +# Units: NA +# Description: Ideally we just use SUA (supply utilization accounts) item names directly. However, given the volume of data +# it helps to use item_code to reduce the size of the input data as well as speed up processing. We will then need this mapping +# to ultimately translate back to item names. TM is TRUE when bilateral data was used for the item. +# Last update: 06-09-2024 (XZ) +# Column types: cicicl +# ---------- +item,item_code,item_new_2024,tier,DS_trade,TM +Wheat,15,Wheat,1,TM,TRUE +"Flour, wheat",16,Wheat and meslin flour,2,TM,TRUE +"Bran, wheat",17,Bran of wheat,2,TM,TRUE +Macaroni,18,"Uncooked pasta, not stuffed or otherwise prepared",2,TM,TRUE +"Germ, wheat",19,Germ of wheat,2,TM,TRUE +Bread,20,Bread,2,TM,TRUE +Bulgur,21,Bulgur,2,TM,TRUE +Pastry,22,Pastry,2,TM,TRUE +"Starch, wheat",23,Starch of wheat,4,SCL,FALSE +"Gluten, wheat",24,Wheat gluten,4,SCL,FALSE +"Beverages, fermented wheat",26,Wheat-fermented beverages,4,SCL,FALSE +"Rice, paddy",27,Rice,1,TM,TRUE +"Rice, husked",28,Husked rice,2,TM,TRUE +"Rice, milled/husked",29,"Rice, milled (husked)",2,TM,TRUE +"Rice, milled",31,"Rice, milled",2,TM,TRUE +"Rice, broken",32,"Rice, broken",2,TM,TRUE +"Gluten, rice",33,"Rice, gluten",4,SCL,FALSE +"Starch, rice",34,Starch of rice,4,SCL,FALSE +"Bran, rice",35,Bran of rice,2,TM,TRUE +"Oil, rice bran",36,Oil of rice bran,2,TM,TRUE +"Flour, rice",38,Flour of rice,2,TM,TRUE +"Beverages, fermented rice",39,Rice-fermented beverages,2,TM,TRUE +"Cereals, breakfast",41,Breakfast cereals,2,TM,TRUE +Barley,44,Barley,1,TM,TRUE +"Barley, pot",45,Pot barley,2,TM,TRUE +"Barley, pearled",46,"Barley, pearled",2,TM,TRUE +"Bran, barley",47,Bran of barley,2,TM,TRUE +"Flour, barley and grits",48,Barley flour and grits,2,TM,TRUE +Malt,49,"Malt, whether or not roasted",2,TM,TRUE +Malt extract,50,Malt extract,2,TM,TRUE +Beer of barley,51,"Beer of barley, malted",1,TM,TRUE +Maize,56,Maize (corn),1,TM,TRUE +"Germ, maize",57,Germ of maize,2,TM,TRUE +"Flour, maize",58,Flour of maize,2,TM,TRUE +"Bran, maize",59,Bran of maize,2,TM,TRUE +"Oil, maize",60,Oil of maize,1,TM,TRUE +"Gluten, maize",63,Maize gluten,4,SCL,FALSE +"Starch, maize",64,Starch of maize,4,SCL,FALSE +Beer of maize,66,"Beer of maize, malted",4,SCL,FALSE +Rye,71,Rye,1,TM,TRUE +"Flour, rye",72,Flour of rye,2,TM,TRUE +"Bran, rye",73,Bran of rye,2,TM,TRUE +Oats,75,Oats,1,TM,TRUE +Oats rolled,76,"Oats, rolled",2,TM,TRUE +"Bran, oats",77,Bran of oats,2,TM,TRUE +Millet,79,Millet,1,TM,TRUE +"Flour, millet",80,Flour of millet,2,TM,TRUE +"Bran, millet",81,Bran of millet,2,TM,TRUE +Beer of millet,82,"Beer of millet, malted",4,SCL,FALSE +Sorghum,83,Sorghum,1,TM,TRUE +"Flour, sorghum",84,Flour of sorghum,2,TM,TRUE +"Bran, sorghum",85,Bran of sorghum,2,TM,TRUE +Beer of sorghum,86,"Beer of sorghum, malted",4,SCL,FALSE +Buckwheat,89,Buckwheat,1,TM,TRUE +"Flour, buckwheat",90,Flour of buckwheat,2,TM,TRUE +"Bran, buckwheat",91,Bran of buckwheat,4,SCL,FALSE +Quinoa,92,Quinoa,1,TM,TRUE +Fonio,94,Fonio,1,TM,TRUE +"Flour, fonio",95,Flour of fonio,4,SCL,FALSE +"Bran, fonio",96,Bran of fonio,4,SCL,FALSE +Triticale,97,Triticale,1,TM,TRUE +"Flour, triticale",98,Flour of triticale,4,SCL,FALSE +"Bran, triticale",99,Bran of triticale,4,SCL,FALSE +Canary seed,101,Canary seed,1,TM,TRUE +"Grain, mixed",103,Mixed grain,1,TM,TRUE +"Flour, mixed grain",104,Flour of mixed grain,2,TM,TRUE +"Bran, mixed grains",105,Bran of mixed grain,2,TM,TRUE +Cereals nes,108,Cereals n.e.c.,1,TM,TRUE +Infant food,109,Infant food,2,TM,TRUE +Wafers,110,"Communion wafers, empty cachets of a kind suitable for pharmaceutical use, sealing wafers, rice paper and similar products.",2,TM,TRUE +"Flour, cereals",111,Flour of cereals n.e.c.,2,TM,TRUE +"Bran, cereals nes",112,Bran of cereals n.e.c.,2,TM,TRUE +Cereal preparations nes,113,Cereal preparations,2,TM,TRUE +Mixes and doughs,114,Mixes and doughs for the preparation of bakers wares,2,TM,TRUE +"Food preparations, flour, malt extract",115,"Food preparations of flour, meal or malt extract",2,TM,TRUE +Potatoes,116,Potatoes,1,TM,TRUE +"Flour, potatoes",117,"Flour, meal, powder, flakes, granules and pellets of potatoes",2,TM,TRUE +"Potatoes, frozen",118,"Potatoes, frozen",2,TM,TRUE +"Starch, potatoes",119,Starch of potatoes,4,SCL,FALSE +"Tapioca, potatoes",121,Tapioca of potatoes,2,TM,TRUE +Sweet potatoes,122,Sweet potatoes,1,TM,TRUE +Cassava,125,"Cassava, fresh",1,TM,TRUE +"Flour, cassava",126,Flour of cassava,2,TM,TRUE +"Tapioca, cassava",127,Tapioca of cassava,2,TM,TRUE +Cassava dried,128,"Cassava, dry",2,TM,TRUE +"Starch, cassava",129,Starch of cassava,2,TM,TRUE +Yautia (cocoyam),135,Yautia,1,TM,TRUE +Taro (cocoyam),136,Taro,1,TM,TRUE +Yams,137,Yams,1,TM,TRUE +Roots and tubers nes,149,"Edible roots and tubers with high starch or inulin content, n.e.c., fresh",1,TM,TRUE +"Flour, roots and tubers nes",150,Flour of roots and tubers n.e.c.,2,TM,TRUE +Roots and tubers dried,151,"Edible roots and tubers with high starch or inulin content, n.e.c., dry",2,TM,TRUE +Fructose chemically pure,154,"Fructose, chemically pure",4,SCL,FALSE +Maltose chemically pure,155,"Maltose, chemically pure",4,SCL,FALSE +Sugar cane,156,Sugar cane,1,TM,TRUE +Sugar beet,157,Sugar beet,1,TM,TRUE +"Sugar, cane, raw, centrifugal",158,"Cane sugar, centrifugal",4,SCL,FALSE +Maple sugar and syrups,160,"Refined cane or beet sugar, in solid form, containing added flavouring or colouring matter; maple sugar and maple syrup",2,TM,TRUE +Sugar crops nes,161,Other sugar crops n.e.c.,1,TM,TRUE +Sugar Raw Centrifugal,162,Raw cane or beet sugar (centrifugal only),1,TM,TRUE +Sugar non-centrifugal,163,"Cane sugar, non-centrifugal",2,TM,TRUE +Sugar refined,164,Refined sugar,2,TM,TRUE +Molasses,165,Molasses,1,TM,TRUE +"Fructose and syrup, other",166,Other fructose and syrup,2,TM,TRUE +Sugar nes,167,Sugar and syrups n.e.c.,2,TM,TRUE +Sugar confectionery,168,Sugar confectionery,2,TM,TRUE +Glucose and dextrose,172,Glucose and dextrose,2,TM,TRUE +Lactose,173,Lactose,2,TM,TRUE +Isoglucose,175,Isoglucose,2,TM,TRUE +"Beans, dry",176,"Beans, dry",1,TM,TRUE +"Broad beans, horse beans, dry",181,"Broad beans and horse beans, dry",1,TM,TRUE +"Peas, dry",187,"Peas, dry",1,TM,TRUE +Chick peas,191,"Chick peas, dry",1,TM,TRUE +"Cow peas, dry",195,"Cow peas, dry",1,TM,TRUE +Pigeon peas,197,"Pigeon peas, dry",1,TM,TRUE +Lentils,201,"Lentils, dry",1,TM,TRUE +Bambara beans,203,"Bambara beans, dry",1,TM,TRUE +Vetches,205,Vetches,1,TM,TRUE +Lupins,210,Lupins,1,TM,TRUE +Pulses nes,211,Other pulses n.e.c.,1,TM,TRUE +"Flour, pulses",212,Flour of pulses,2,TM,TRUE +"Bran, pulses",213,Bran of pulses,2,TM,TRUE +"Brazil nuts, with shell",216,"Brazil nuts, in shell",1,TM,TRUE +"Cashew nuts, with shell",217,"Cashew nuts, in shell",1,TM,TRUE +Chestnut,220,"Chestnuts, in shell",1,TM,TRUE +"Almonds, with shell",221,"Almonds, in shell",1,TM,TRUE +"Walnuts, with shell",222,"Walnuts, in shell",1,TM,TRUE +Pistachios,223,"Pistachios, in shell",1,TM,TRUE +Kola nuts,224,Kola nuts,1,TM,TRUE +"Hazelnuts, with shell",225,"Hazelnuts, in shell",1,TM,TRUE +Areca nuts,226,Areca nuts,1,TM,TRUE +"Brazil nuts, shelled",229,"Brazil nuts, shelled",2,TM,TRUE +"Cashew nuts, shelled",230,"Cashew nuts, shelled",2,TM,TRUE +Almonds shelled,231,"Almonds, shelled",2,TM,TRUE +"Walnuts, shelled",232,"Walnuts, shelled",2,TM,TRUE +"Hazelnuts, shelled",233,"Hazelnuts, shelled",2,TM,TRUE +Nuts nes,234,"Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c.",1,TM,TRUE +"Nuts, prepared (exc. groundnuts)",235,Prepared nuts,2,TM,TRUE +Soybeans,236,Soya beans,1,TM,TRUE +"Oil, soybean",237,Soya bean oil,2,TM,TRUE +"Cake, soybeans",238,Cake of soya beans,2,TM,TRUE +Soya sauce,239,Soya sauce,2,TM,TRUE +Soya paste,240,Soya paste,2,TM,TRUE +Soya curd,241,Soya curd,4,SCL,FALSE +"Groundnuts, with shell",242,"Groundnuts, excluding shelled",1,TM,TRUE +"Groundnuts, shelled",243,"Groundnuts, shelled",2,TM,TRUE +"Oil, groundnut",244,Groundnut oil,1,TM,TRUE +"Cake, groundnuts",245,Cake of groundnuts,2,TM,TRUE +"Groundnuts, prepared",246,Prepared groundnuts,2,TM,TRUE +Peanut butter,247,Peanut butter,2,TM,TRUE +Coconuts,249,"Coconuts, in shell",1,TM,TRUE +"Coconuts, desiccated",250,"Coconuts, desiccated",2,TM,TRUE +Copra,251,Copra,2,TM,TRUE +"Oil, coconut (copra)",252,Coconut oil,1,TM,TRUE +"Cake, copra",253,Cake of copra,2,TM,TRUE +Oil palm fruit,254,Oil palm fruit,3,SCL,FALSE +Palm kernels,256,Palm kernels,1,TM,TRUE +"Oil, palm",257,Palm oil,1,TM,TRUE +"Oil, palm kernel",258,Oil of palm kernel,1,TM,TRUE +"Cake, palm kernel",259,Cake of palm kernel,2,TM,TRUE +Olives,260,Olives,1,TM,TRUE +"Oil, olive, virgin",261,Olive oil,1,TM,TRUE +Olives preserved,262,Olives preserved,2,TM,TRUE +Karite nuts (sheanuts),263,Karite nuts (sheanuts),1,TM,TRUE +Butter of karite nuts,264,Butter of karite nuts,2,TM,TRUE +Castor oil seed,265,Castor oil seeds,1,TM,TRUE +"Oil, castor beans",266,Oil of castor beans,2,TM,TRUE +Sunflower seed,267,Sunflower seed,1,TM,TRUE +"Oil, sunflower",268,"Sunflower-seed oil, crude",1,TM,TRUE +"Cake, sunflower",269,Cake of sunflower seed,2,TM,TRUE +Rapeseed,270,Rape or colza seed,1,TM,TRUE +"Oil, rapeseed",271,"Rapeseed or canola oil, crude",1,TM,TRUE +"Cake, rapeseed",272,Cake of rapeseed,2,TM,TRUE +"Oil, olive residues",274,Oil of olive residues,2,TM,TRUE +Tung nuts,275,Tung nuts,1,TM,TRUE +"Oil, tung nuts",276,Oil of tung nuts,2,TM,TRUE +Jojoba seed,277,Jojoba seeds,3,SCL,FALSE +"Oil, jojoba",278,Jojoba oil,2,TM,TRUE +Safflower seed,280,Safflower seed,1,TM,TRUE +"Oil, safflower",281,"Safflower-seed oil, crude",1,TM,TRUE +Sesame seed,289,Sesame seed,1,TM,TRUE +"Oil, sesame",290,Oil of sesame seed,1,TM,TRUE +"Cake, sesame seed",291,Cake of sesame seed,2,TM,TRUE +Mustard seed,292,Mustard seed,1,TM,TRUE +"Oil, mustard",293,"Mustard seed oil, crude",2,TM,TRUE +"Cake, mustard",294,Cake of mustard seed,2,TM,TRUE +"Flour, mustard",295,Flour of mustard seed,2,TM,TRUE +Poppy seed,296,Poppy seed,1,TM,TRUE +"Oil, poppy",297,Oil of poppy seed,4,SCL,FALSE +Melonseed,299,Melonseed,1,TM,TRUE +Tallowtree seed,305,Tallowtree seeds,3,SCL,FALSE +Vegetable tallow,306,Vegetable tallow,4,SCL,FALSE +Kapok fruit,310,Kapok fruit,3,SCL,FALSE +Kapokseed in shell,311,Kapokseed in shell,3,SCL,FALSE +Kapokseed shelled,312,"Kapokseed, shelled",4,SCL,FALSE +"Oil, kapok",313,Oil of kapok,4,SCL,FALSE +Seed cotton,328,"Seed cotton, unginned",6,TM,TRUE +Cottonseed,329,Cotton seed,1,TM,TRUE +"Oil, cottonseed",331,Cottonseed oil,1,TM,TRUE +"Cake, cottonseed",332,Cake of cottonseed,2,TM,TRUE +Linseed,333,Linseed,1,TM,TRUE +"Oil, linseed",334,Oil of linseed,1,TM,TRUE +Hempseed,336,Hempseed,1,TM,TRUE +"Oil, hempseed",337,Oil of hempseed,4,SCL,FALSE +Oilseeds nes,339,"Other oil seeds, n.e.c.",1,TM,TRUE +"Oil, vegetable origin nes",340,"Other oil of vegetable origin, crude n.e.c.",2,TM,TRUE +"Cake, others",341,"Cake, oilseeds nes",2,TM,TRUE +"Flour, oilseeds",343,"Flours and meals of oil seeds or oleaginous fruits, except those of mustard",2,TM,TRUE +Cabbages and other brassicas,358,Cabbages,1,TM,TRUE +Artichokes,366,Artichokes,1,TM,TRUE +Asparagus,367,Asparagus,1,TM,TRUE +Lettuce and chicory,372,Lettuce and chicory,1,TM,TRUE +Spinach,373,Spinach,1,TM,TRUE +Cassava leaves,378,Cassava leaves,3,SCL,FALSE +Tomatoes,388,Tomatoes,1,TM,TRUE +"Juice, tomato",390,Tomato juice,2,TM,TRUE +"Tomatoes, paste",391,Paste of tomatoes,2,TM,TRUE +"Tomatoes, peeled",392,"Tomatoes, peeled (o/t vinegar)",2,TM,TRUE +Cauliflowers and broccoli,393,Cauliflowers and broccoli,1,TM,TRUE +"Pumpkins, squash and gourds",394,"Pumpkins, squash and gourds",1,TM,TRUE +Cucumbers and gherkins,397,Cucumbers and gherkins,1,TM,TRUE +Eggplants (aubergines),399,Eggplants (aubergines),1,TM,TRUE +"Chillies and peppers, green",401,"Chillies and peppers, green (Capsicum spp. and Pimenta spp.)",1,TM,TRUE +"Onions, shallots, green",402,"Onions and shallots, green",1,TM,TRUE +"Onions, dry",403,"Onions and shallots, dry (excluding dehydrated)",1,TM,TRUE +Garlic,406,Green garlic,1,TM,TRUE +"Leeks, other alliaceous vegetables",407,Leeks and other alliaceous vegetables,1,TM,TRUE +"Beans, green",414,"Other beans, green",1,TM,TRUE +"Peas, green",417,"Peas, green",1,TM,TRUE +"Vegetables, leguminous nes",420,"Broad beans and horse beans, green",1,TM,TRUE +String beans,423,String beans,1,TM,TRUE +Carrots and turnips,426,Carrots and turnips,1,TM,TRUE +Okra,430,Okra,1,TM,TRUE +"Maize, green",446,Green corn (maize),1,TM,TRUE +Sweet corn frozen,447,"Sweet corn, frozen",2,TM,TRUE +Sweet corn prep or preserved,448,"Sweet corn, prepared or preserved",2,TM,TRUE +Mushrooms and truffles,449,Mushrooms and truffles,1,TM,TRUE +"Mushrooms, dried",450,Dried mushrooms,2,TM,TRUE +"Mushrooms, canned",451,Canned mushrooms,2,TM,TRUE +Chicory roots,459,Chicory roots,1,TM,TRUE +Carobs,461,Locust beans (carobs),1,TM,TRUE +"Vegetables, fresh nes",463,"Other vegetables, fresh n.e.c.",1,TM,TRUE +"Juice, vegetables nes",466,Other vegetable juices,2,TM,TRUE +"Vegetables, dehydrated",469,"Vegetables, dehydrated",2,TM,TRUE +Vegetables in vinegar,471,"Vegetables, pulses and potatoes, preserved by vinegar or acetic acid",2,TM,TRUE +"Vegetables, preserved nes",472,Vegetables preserved nes (o/t vinegar),2,TM,TRUE +"Vegetables, frozen",473,Vegetables frozen,2,TM,TRUE +"Vegetables, temporarily preserved",474,Other vegetables provisionally preserved,2,TM,TRUE +"Vegetables, preserved, frozen",475,Vegetables preserved (frozen),2,TM,TRUE +"Vegetables, homogenized preparations",476,Homogenized vegetable preparations,2,TM,TRUE +Bananas,486,Bananas,1,TM,TRUE +Plantains and others,489,Plantains and cooking bananas,1,TM,TRUE +Oranges,490,Oranges,1,TM,TRUE +"Juice, orange, single strength",491,Orange juice,2,TM,TRUE +"Juice, orange, concentrated",492,"Orange juice, concentrated",2,TM,TRUE +"Tangerines, mandarins, clementines, satsumas",495,"Tangerines, mandarins, clementines",1,TM,TRUE +"Juice, tangerine",496,Juice of tangerine,2,TM,TRUE +Lemons and limes,497,Lemons and limes,1,TM,TRUE +"Juice, lemon, single strength",498,Juice of lemon,2,TM,TRUE +"Juice, lemon, concentrated",499,"Lemon juice, concentrated",2,TM,TRUE +Grapefruit (inc. pomelos),507,Pomelos and grapefruits,1,TM,TRUE +"Juice, grapefruit",509,Grapefruit juice,2,TM,TRUE +"Juice, grapefruit, concentrated",510,"Grapefruit juice, concentrated",2,TM,TRUE +"Fruit, citrus nes",512,"Other citrus fruit, n.e.c.",1,TM,TRUE +"Juice, citrus, single strength",513,Juice of citrus fruit n.e.c.,2,TM,TRUE +"Juice, citrus, concentrated",514,"Citrus juice, concentrated n.e.c.",2,TM,TRUE +Apples,515,Apples,1,TM,TRUE +Cider etc,517,Cider and other fermented beverages,2,TM,TRUE +"Juice, apple, single strength",518,Apple juice,2,TM,TRUE +"Juice, apple, concentrated",519,"Apple juice, concentrated",2,TM,TRUE +Pears,521,Pears,1,TM,TRUE +Quinces,523,Quinces,1,TM,TRUE +Apricots,526,Apricots,1,TM,TRUE +"Apricots, dry",527,"Apricots, dried",2,TM,TRUE +"Cherries, sour",530,Sour cherries,1,TM,TRUE +Cherries,531,Cherries,1,TM,TRUE +Peaches and nectarines,534,Peaches and nectarines,1,TM,TRUE +Plums and sloes,536,Plums and sloes,1,TM,TRUE +Plums dried (prunes),537,"Plums, dried",2,TM,TRUE +"Juice, plum, single strength",538,Juice of plum,4,SCL,FALSE +"Juice, plum, concentrated",539,"Juice of plum, concentrated",4,SCL,FALSE +"Fruit, stone nes",541,Other stone fruits,1,TM,TRUE +"Fruit, pome nes",542,Other pome fruits,3,SCL,FALSE +Strawberries,544,Strawberries,1,TM,TRUE +Raspberries,547,Raspberries,1,TM,TRUE +Gooseberries,549,Gooseberries,1,TM,TRUE +Currants,550,Currants,1,TM,TRUE +Blueberries,552,Blueberries,1,TM,TRUE +Cranberries,554,Cranberries,1,TM,TRUE +Berries nes,558,Other berries and fruits of the genus vaccinium n.e.c.,1,TM,TRUE +Grapes,560,Grapes,1,TM,TRUE +Raisins,561,Raisins,2,TM,TRUE +"Juice, grape",562,Grape juice,2,TM,TRUE +"Grapes, must",563,Must of grape,2,TM,TRUE +Wine,564,Wine,1,TM,TRUE +Vermouths & similar,565,Vermouth and other wine of fresh grapes flavoured with plats or aromatic substances,2,TM,TRUE +Watermelons,567,Watermelons,1,TM,TRUE +"Melons, other (inc.cantaloupes)",568,Cantaloupes and other melons,1,TM,TRUE +Figs,569,Figs,1,TM,TRUE +Figs dried,570,"Figs, dried",2,TM,TRUE +"Mangoes, mangosteens, guavas",571,"Mangoes, guavas and mangosteens",1,TM,TRUE +Avocados,572,Avocados,1,TM,TRUE +Pineapples,574,Pineapples,1,TM,TRUE +Pineapples canned,575,"Pineapples, otherwise prepared or preserved",2,TM,TRUE +"Juice, pineapple",576,Pineapple juice,2,TM,TRUE +Dates,577,Dates,1,TM,TRUE +"Juice, pineapple, concentrated",580,"Juice of pineapples, concentrated",2,TM,TRUE +"Juice, mango",583,Juice of mango,2,TM,TRUE +Persimmons,587,Persimmons,1,TM,TRUE +Cashewapple,591,Cashewapple,1,TM,TRUE +Kiwi fruit,592,Kiwi fruit,1,TM,TRUE +Papayas,600,Papayas,1,TM,TRUE +"Fruit, tropical fresh nes",603,"Other tropical fruits, n.e.c.",1,TM,TRUE +"Fruit, tropical dried nes",604,"Other tropical fruit, dried",2,TM,TRUE +"Fruit, fresh nes",619,"Other fruits, n.e.c.",1,TM,TRUE +"Fruit, dried nes",620,"Other fruit n.e.c., dried",2,TM,TRUE +"Juice, fruit nes",622,Juice of fruits n.e.c.,2,TM,TRUE +"Fruit, prepared nes",623,Fruit prepared n.e.c.,2,TM,TRUE +"Flour, fruit",624,Flour of fruits,2,TM,TRUE +"Fruits, nuts, peel, sugar preserved",625,"Fruit, nuts, peel, sugar preserved",2,TM,TRUE +"Fruit, cooked, homogenized preparations",626,"Homogenized cooked fruit, prepared",2,TM,TRUE +Alcohol non food,632,Undenatured ethyl alcohol of an alcoholic strength by volume of 80% vol or higher,4,SCL,FALSE +"Beverages, distilled alcoholic",634,"Undenatured ethyl alcohol of an alcoholic strength by volume of less than 80% vol; spirits, liqueurs and other spirituous beverages",2,TM,TRUE +"Coffee, green",656,"Coffee, green",1,TM,TRUE +"Coffee, roasted",657,"Coffee, decaffeinated or roasted",2,TM,TRUE +"Coffee, substitutes containing coffee",658,Coffee substitutes,2,TM,TRUE +"Coffee, extracts",659,Coffee extracts,2,TM,TRUE +"Cocoa, beans",661,Cocoa beans,1,TM,TRUE +"Cocoa, paste",662,Cocoa paste not defatted,2,TM,TRUE +"Cocoa, butter",664,"Cocoa butter, fat and oil",2,TM,TRUE +"Cocoa, powder & cake",665,Cocoa powder and cake,2,TM,TRUE +Chocolate products nes,666,Chocolate products nes,2,TM,TRUE +Tea,667,Tea leaves,1,TM,TRUE +Mate,671,Mate leaves,1,TM,TRUE +"Tea, mate extracts",672,"Extracts, essences and concentrates of tea or mate, and preparations with a basis thereof or with a basis of tea or mate",2,TM,TRUE +Hops,677,Hop cones,6,TM,TRUE +Pepper (piper spp.),687,"Pepper (Piper spp.), raw",1,TM,TRUE +"Chillies and peppers, dry",689,"Chillies and peppers, dry (Capsicum spp., Pimenta spp.), raw",1,TM,TRUE +Vanilla,692,"Vanilla, raw",1,TM,TRUE +Cinnamon (cannella),693,"Cinnamon and cinnamon-tree flowers, raw",1,TM,TRUE +Cloves,698,"Cloves (whole stems), raw",1,TM,TRUE +"Nutmeg, mace and cardamoms",702,"Nutmeg, mace, cardamoms, raw",1,TM,TRUE +"Anise, badian, fennel, coriander",711,"Anise, badian, coriander, cumin, caraway, fennel and juniper berries, raw",1,TM,TRUE +Ginger,720,"Ginger, raw",1,TM,TRUE +Spices nes,723,"Other stimulant, spice and aromatic crops, n.e.c.",1,TM,TRUE +Peppermint,748,"Peppermint, spearmint",6,TM,TRUE +"Pyrethrum, dried",754,"Pyrethrum, dried flowers",6,TM,TRUE +Cotton lint,767,"Cotton lint, ginned",6,TM,TRUE +"Flax, raw or retted ",771,"Flax, raw or retted ",6,TM,TRUE +Hemp tow waste,777,"True hemp, raw or retted",6,TM,TRUE +Kapok fibre,778,"Kapok fibre, raw",6,TM,TRUE +Jute,780,"Jute, raw or retted",6,TM,TRUE +"Bastfibres, other",782,"Kenaf, and other textile bast fibres, raw or retted",6,TM,TRUE +Ramie,788,"Ramie, raw or retted",6,TM,TRUE +Sisal,789,"Sisal, raw",6,TM,TRUE +Agave fibres nes,800,"Agave fibres, raw, n.e.c.",6,TM,TRUE +Manila fibre (abaca),809,"Abaca, manila hemp, raw",6,TM,TRUE +Coir,813,"Coir, raw",6,TM,TRUE +Fibre crops nes,821,"Other fibre crops, raw, n.e.c.",6,TM,TRUE +"Tobacco, unmanufactured",826,Unmanufactured tobacco,6,TM,TRUE +"Rubber, natural",836,Natural rubber in primary forms,6,TM,TRUE +"Gums, natural",839,"Balata, gutta-percha, guayule, chicle and similar natural gums in primary forms or in plates, sheets or strip",6,TM,TRUE +"Feed and meal, gluten",846,Gluten feed and meal,2,TM,TRUE +"Meat, cattle",867,"Meat of cattle with the bone, fresh or chilled",1,TM,TRUE +"Offals, edible, cattle",868,"Edible offal of cattle, fresh, chilled or frozen",1,TM,TRUE +"Fat, cattle",869,"Cattle fat, unrendered",1,TM,TRUE +"Meat, cattle, boneless (beef & veal)",870,"Meat of cattle boneless, fresh or chilled",2,TM,TRUE +"Fat, cattle butcher",871,"Cattle, butcher fat",2,TM,TRUE +"Meat, beef, dried, salted, smoked",872,"Bovine meat, salted, dried or smoked",2,TM,TRUE +"Meat, extracts",873,"Extracts and juices of meat, fish, crustaceans, molluscs or other aquatic invertebrates",2,TM,TRUE +"Meat, beef and veal sausages",874,"Sausages and similar products of meat, offal or blood of beef and veal",2,TM,TRUE +"Meat, beef, preparations",875,beef and veal preparations nes,2,TM,TRUE +"Meat, homogenized preparations",877,Homogenized meat preparations,2,TM,TRUE +Liver prep.,878,Liver preparations,2,TM,TRUE +"Milk, whole fresh cow",882,Raw milk of cattle,1,TM,TRUE +Cream fresh,885,"Cream, fresh",1,TM,TRUE +"Butter, cow milk",886,Butter of cow milk,1,TM,TRUE +"Ghee, butteroil of cow milk",887,Ghee from cow milk,1,TM,TRUE +"Milk, skimmed cow",888,Skim milk of cows,1,TM,TRUE +"Milk, whole condensed",889,"Whole milk, condensed",1,TM,TRUE +"Whey, condensed",890,"Whey, condensed",1,TM,TRUE +Yoghurt,891,Yoghurt,1,TM,TRUE +"Yoghurt, concentrated or not",892,"Yoghurt, with additives",2,TM,TRUE +"Buttermilk, curdled, acidified milk",893,"Buttermilk, curdled and acidified milk",2,TM,TRUE +"Milk, whole evaporated",894,"Whole milk, evaporated",1,TM,TRUE +"Milk, skimmed evaporated",895,"Skim milk, evaporated",1,TM,TRUE +"Milk, skimmed condensed",896,"Skim milk, condensed",1,TM,TRUE +"Milk, whole dried",897,Whole milk powder,1,TM,TRUE +"Milk, skimmed dried",898,Skim milk and whey powder,1,TM,TRUE +"Milk, dry buttermilk",899,"Buttermilk, dry",1,TM,TRUE +"Whey, dry",900,"Whey, dry",1,TM,TRUE +"Cheese, whole cow milk",901,Cheese from whole cow milk,1,TM,TRUE +"Whey, fresh",903,"Whey, fresh",2,TM,TRUE +"Cheese, skimmed cow milk",904,Cheese from skimmed cow milk,1,TM,TRUE +"Whey, cheese",905,Whey cheese,2,TM,TRUE +"Cheese, processed",907,Processed cheese,2,TM,TRUE +"Milk, reconstituted",908,Reconstituted milk,4,SCL,FALSE +"Milk, products of natural constituents nes",909,Dairy products n.e.c.,2,TM,TRUE +Ice cream and edible ice,910,Ice cream and other edible ice,2,TM,TRUE +Egg albumine,916,Egg albumin,4,SCL,FALSE +Casein,917,Casein,4,SCL,FALSE +"Hides, cattle, fresh",919,Raw hides and skins of cattle,6,TM,TRUE +"Meat, buffalo",947,"Meat of buffalo, fresh or chilled",1,TM,TRUE +"Offals, edible, buffaloes",948,"Edible offal of buffalo, fresh, chilled or frozen",1,TM,TRUE +"Fat, buffaloes",949,"Buffalo fat, unrendered",3,SCL,FALSE +"Milk, whole fresh buffalo",951,Raw milk of buffalo,3,SCL,FALSE +"Butter, buffalo milk",952,Butter of buffalo milk,3,SCL,FALSE +"Ghee, buffalo milk",953,Ghee from buffalo milk,3,SCL,FALSE +"Milk, skimmed buffalo",954,Skim milk of buffalo,4,SCL,FALSE +"Cheese, buffalo milk",955,"Cheese from milk of buffalo, fresh or processed",3,SCL,FALSE +"Hides, buffalo, fresh",957,Raw hides and skins of buffaloes,6,TM,TRUE +"Meat, sheep",977,"Meat of sheep, fresh or chilled",1,TM,TRUE +"Offals, sheep,edible",978,"Edible offal of sheep, fresh, chilled or frozen",1,TM,TRUE +"Fat, sheep",979,"Sheep fat, unrendered",1,TM,TRUE +"Milk, whole fresh sheep",982,Raw milk of sheep,3,SCL,FALSE +"Butter and ghee, sheep milk",983,Butter and ghee of sheep milk,1,TM,TRUE +"Cheese, sheep milk",984,"Cheese from milk of sheep, fresh or processed",1,TM,TRUE +"Milk, skimmed sheep",985,Skim sheep milk,4,SCL,FALSE +"Wool, greasy",987,"Shorn wool, greasy, including fleece-washed shorn wool",6,TM,TRUE +Grease incl. lanolin wool,994,Wool grease and lanolin,2,TM,TRUE +"Skins, sheep, fresh",995,Raw hides and skins of sheep or lambs,6,TM,TRUE +"Meat, goat",1017,"Meat of goat, fresh or chilled",1,TM,TRUE +"Offals, edible, goats",1018,"Edible offal of goat, fresh, chilled or frozen",1,TM,TRUE +"Fat, goats",1019,"Goat fat, unrendered",3,SCL,FALSE +"Milk, whole fresh goat",1020,Raw milk of goats,3,SCL,FALSE +"Cheese, goat milk",1021,"Cheese from milk of goats, fresh or processed",1,TM,TRUE +"Butter, goat milk",1022,Butter of goat milk,1,TM,TRUE +"Milk, skimmed goat",1023,Skim milk of goat,4,SCL,FALSE +"Skins, goat, fresh",1025,Raw hides and skins of goats or kids,6,TM,TRUE +"Meat, pig",1035,"Meat of pig with the bone, fresh or chilled",1,TM,TRUE +"Offals, pigs, edible",1036,"Edible offal of pigs, fresh, chilled or frozen",1,TM,TRUE +"Fat, pigs",1037,Fat of pigs,1,TM,TRUE +"Meat, pork",1038,"Meat of pig boneless, fresh or chilled",2,TM,TRUE +Bacon and ham,1039,"Pig meat, cuts, salted, dried or smoked (bacon and ham)",2,TM,TRUE +"Fat, pig butcher",1040,"Pig, butcher fat",2,TM,TRUE +"Meat, pig sausages",1041,"Sausages and similar products of meat, offal or blood of pig",2,TM,TRUE +"Meat, pig, preparations",1042,Pig meat preparations,2,TM,TRUE +Lard,1043,"Pig fat, rendered",1,TM,TRUE +"Meat, chicken",1058,"Meat of chickens, fresh or chilled",1,TM,TRUE +"Offals, liver chicken",1059,"Edible offals and liver of chickens and guinea fowl, fresh, chilled or frozen",2,TM,TRUE +"Fat, liver prepared (foie gras)",1060,Fatty liver preparations,2,TM,TRUE +"Meat, chicken, canned",1061,Poultry meat preparations,2,TM,TRUE +"Eggs, hen, in shell",1062,"Hen eggs in shell, fresh",1,TM,TRUE +"Eggs, liquid",1063,"Eggs, liquid",2,TM,TRUE +"Eggs, dried",1064,"Eggs, dried",2,TM,TRUE +"Fat, poultry",1065,Fat of poultry,2,TM,TRUE +"Fat, poultry, rendered",1066,"Poultry fat, rendered",2,TM,TRUE +"Meat, duck",1069,"Meat of ducks, fresh or chilled",1,TM,TRUE +"Meat, goose and guinea fowl",1073,"Meat of geese, fresh or chilled",1,TM,TRUE +"Offals, liver geese",1074,"Edible offals and liver of geese, fresh, chilled or frozen",2,TM,TRUE +"Offals, liver duck",1075,"Edible offals and liver of ducks, fresh, chilled or frozen",2,TM,TRUE +"Meat, turkey",1080,"Meat of turkeys, fresh or chilled",1,TM,TRUE +"Offals, liver turkeys",1081,"Edible offals and liver of turkey, fresh, chilled or frozen",2,TM,TRUE +"Meat, bird nes",1089,"Meat of pigeons and other birds n.e.c., fresh, chilled or frozen",1,TM,TRUE +"Eggs, other bird, in shell",1091,"Eggs from other birds in shell, fresh, n.e.c.",1,TM,TRUE +"Meat, horse",1097,"Horse meat, fresh or chilled",1,TM,TRUE +"Offals, horses",1098,"Edible offals of horses and other equines, fresh, chilled or frozen",1,TM,TRUE +"Meat, ass",1108,"Meat of asses, fresh or chilled",3,SCL,FALSE +"Meat, mule",1111,"Meat of mules, fresh or chilled",3,SCL,FALSE +"Meat, camel",1127,"Meat of camels, fresh or chilled",1,TM,TRUE +"Offals, edible, camels",1128,"Edible offals of camels and other camelids, fresh, chilled or frozen",3,SCL,FALSE +"Fat, camels",1129,Fat of camels,1,TM,TRUE +"Milk, whole fresh camel",1130,Raw milk of camel,3,SCL,FALSE +"Meat, rabbit",1141,"Meat of rabbits and hares, fresh or chilled",1,TM,TRUE +"Meat, other rodents",1151,"Meat of other domestic rodents, fresh or chilled",3,SCL,FALSE +"Meat, other camelids",1158,"Meat of other domestic camelids, fresh or chilled",6,TM,TRUE +"Fat, other camelids",1160,Fat of other camelids,4,SCL,FALSE +"Meat, game",1163,"Game meat, fresh, chilled or frozen",1,TM,TRUE +"Meat, dried nes",1164,"Other meat and edible meat offal, salted, in brine, dried or smoked; edible flours and meals of meat or meat offal",2,TM,TRUE +Meat nes,1166,"Other meat n.e.c. (excluding mammals), fresh, chilled or frozen",1,TM,TRUE +Offals nes,1167,"Offals n.e.c. (excluding mammals), fresh, chilled or frozen",2,TM,TRUE +"Oils, fats of animal nes",1168,Animal oils and fats n.e.c.,2,TM,TRUE +"Meat nes, preparations",1172,Meat prepared n.e.c.,2,TM,TRUE +"Snails, not sea",1176,"Snails, fresh, chilled, frozen, dried, salted or in brine, except sea snails",3,SCL,FALSE +"Honey, natural",1182,Natural honey,1,TM,TRUE +Beeswax,1183,Beeswax,6,TM,TRUE +"Silk-worm cocoons, reelable",1185,Silk-worm cocoons suitable for reeling,6,TM,TRUE +"Silk, raw",1186,Raw silk (not thrown),6,TM,TRUE +Lard stearine oil,1221,Lard stearine and lard oil,2,TM,TRUE +Degras,1222,Degras,2,TM,TRUE +Tallow,1225,Tallow,1,TM,TRUE +Food prep nes,1232,Food preparations n.e.c.,2,TM,TRUE +"Margarine, liquid",1241,Liquid margarine,2,TM,TRUE +"Margarine, short",1242,Margarine and shortening,1,TM,TRUE +"Fat nes, prepared",1243,Fat preparations n.e.c.,2,TM,TRUE +"Castor oil, hydrogenated (opal wax)",1273,"Castor oil, hydrogenated",4,SCL,FALSE +"Oil, boiled etc",1274,"Animal or vegetable fats and oils and their fractions, chemically modified, except those hydrogenated, inter-esterified, re-esterified or elaidinized; inedible mixtures or preparations of animal or vegetable fats or oils",2,TM,TRUE +"Oil, hydrogenated",1275,hydrogenated oils and fats,2,TM,TRUE +Fatty acids,1276,Industrial monocarboxylic fatty acids; acid oils from refining,2,TM,TRUE +Fatty substance residues,1277,Residues of fatty substances,2,TM,TRUE +Freshwater Fish,2761,Freshwater Fish,5,FBS_FBSH,FALSE +Demersal Fish,2762,Demersal Fish,5,FBS_FBSH,FALSE +Pelagic Fish,2763,Pelagic Fish,5,FBS_FBSH,FALSE +"Marine Fish, Other",2764,"Marine Fish, Other",5,FBS_FBSH,FALSE +Crustaceans,2765,Crustaceans,5,FBS_FBSH,FALSE +Cephalopods,2766,Cephalopods,5,FBS_FBSH,FALSE +"Molluscs, Other",2767,"Molluscs, Other",5,FBS_FBSH,FALSE +"Meat, Aquatic Mammals",2768,"Meat, Aquatic Mammals",5,FBS_FBSH,FALSE +"Aquatic Animals, Others",2769,"Aquatic Animals, Others",5,FBS_FBSH,FALSE +Aquatic Plants,2775,Aquatic Plants,5,FBS_FBSH,FALSE +"Fish, Body Oil",2781,"Fish, Body Oil",5,FBS_FBSH,FALSE +"Fish, Liver Oil",2782,"Fish, Liver Oil",5,FBS_FBSH,FALSE +"Cake, olive residues",2740000,"Cake, olive residues",7,None,FALSE +"Cake, jojoba",2780000,"Cake, jojoba",7,None,FALSE +"Fiber, cottonseed",3320000,"Fiber, cottonseed",7,None,FALSE +"Cake, vegetable origin nes",3400000,"Cake, vegetable origin nes",7,None,FALSE +"AnMeatEq, cattle",8670000,"AnMeatEq, cattle",8,None,FALSE +"AnMeatEq, buffalo",9470000,"AnMeatEq, buffalo",8,None,FALSE +"AnMeatEq, sheep",9770000,"AnMeatEq, sheep",8,None,FALSE +"AnMeatEq, goat",10170000,"AnMeatEq, goat",8,None,FALSE +"AnMeatEq, pig",10350000,"AnMeatEq, pig",8,None,FALSE +"AnMeatEq, chicken",10580000,"AnMeatEq, chicken",8,None,FALSE +"AnMeatEq, duck",10690000,"AnMeatEq, duck",8,None,FALSE +"AnMeatEq, goose and guinea fowl",10730000,"AnMeatEq, goose and guinea fowl",8,None,FALSE +"AnMeatEq, turkey",10800000,"AnMeatEq, turkey",8,None,FALSE +"AnMeatEq, horse",10970000,"AnMeatEq, horse",8,None,FALSE +"AnMeatEq, ass",11080000,"AnMeatEq, ass",8,None,FALSE +"AnMeatEq, mule",11110000,"AnMeatEq, mule",8,None,FALSE +"AnMeatEq, camel",11270000,"AnMeatEq, camel",8,None,FALSE +"AnMeatEq, rabbit",11410000,"AnMeatEq, rabbit",8,None,FALSE +"AnMeatEq, other rodents",11510000,"AnMeatEq, other rodents",8,None,FALSE +"AnMeatEq, other camelids",11580000,"AnMeatEq, other camelids",8,None,FALSE +"Cake, rice bran",37,Cake of rice bran,2,TM,TRUE +"Cake, maize",61,Cake of maize,2,TM,TRUE +"Cake, safflower",282,Cake of safflowerseed,2,TM,TRUE +"Cake, poppy",298,"Cake, poppy seed",4,SCL,FALSE +"Cake, kapok",314,Cake of kapok,4,SCL,FALSE +"Cake, linseed",335,Cake of linseed,2,TM,TRUE +"Cake, hempseed",338,Cake of hempseed,4,SCL,FALSE +"Vegetable products, fresh or dry n.e.c.",460,"Vegetable products, fresh or dry n.e.c.",2,TM,TRUE +Mango pulp,584,Mango pulp,2,TM,TRUE +Other non-alcoholic caloric beverages,633,Other non-alcoholic caloric beverages,2,TM,TRUE +Cocoa husks and shells,663,Cocoa husks and shells,2,TM,TRUE +"Green tea (not fermented), black tea (fermented) and partly fermented tea, in immediate packings of a content not exceeding 3 kg",675,"Green tea (not fermented), black tea (fermented) and partly fermented tea, in immediate packings of a content not exceeding 3 kg",6,TM,TRUE +Standardized milk,883,Standardized milk,4,SCL,FALSE diff --git a/inst/extdata/GCAM/common/FAO_GDP_Deflators.csv b/inst/extdata/GCAM/common/FAO_GDP_Deflators.csv index 079528013..b0a162a7e 100644 --- a/inst/extdata/GCAM/common/FAO_GDP_Deflators.csv +++ b/inst/extdata/GCAM/common/FAO_GDP_Deflators.csv @@ -1,223 +1,210 @@ # File: FAO_GDP_Deflators.csv # Title: FAO GDP deflators by country (2015 = 100) # Units: Unitless -# Source: FAOSTAT (domain:PD FAO.udpate:2020-05-25) & Taiwan Statistics (access:4-12-2021) -# Date of last update: 2021-04-14 -# Column types: ciccnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn +# Description: FAOSTAT (domain:PD) & Taiwan Statistics (access:4-12-2021) +# Data source: FAOSTAT (main domain:PD FAO.udpate:2023-11-07T00:00:00) +# Date of CSV last update: 2024-06-12 +# Column types: cicicinnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn # ---------- -countries,country codes,item,element,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 -Afghanistan,2,GDP Deflator,"Value US$, 2015 prices",16.5361,17.3614,18.096,19.1054,22.5306,23.2919,23.8469,29.0222,30.1932,34.729,35.5213,33.2169,32.181,30.3217,29.4344,29.0194,28.1653,27.2933,27.4551,37.0564,41.4484,42.9179,43.9368,44.9013,45.8405,46.7916,47.6864,48.532,49.0809,48.1839,66.2098,71.9558,51.6161,54.9302,60.7573,65.5233,68.1139,73.9478,82.1638,81.8334,101.3687,111.2125,111.553,106.141,101.6523,100,94.8154,94.0963,91.2332, -Albania,3,GDP Deflator,"Value US$, 2015 prices",71.4258,70.6487,69.8733,69.108,68.3679,67.5978,66.8621,66.1946,65.3388,52.4577,45.8789,44.8778,44.8704,44.8658,44.8501,45.008,43.956,43.956,46.1307,50.1944,40.684,42.0598,43.0183,44.0376,44.9779,50.4901,61.8837,48.2566,50.9234,56.8815,57.5771,59.8648,63.5228,76.8552,93.9974,99.935,104.2561,118.0669,132.5008,119.869,114.4591,120.6388,113.6831,116.726,118.748,100,100.8241,106.6411,118.4797, -Algeria,4,GDP Deflator,"Value US$, 2015 prices",14.7887,17.0065,18.6126,22.9461,31.7686,35.217,37.8432,40.9029,46.6461,54.6363,68.9848,70.1654,67.1819,68.8388,70.7105,74.6908,80.894,83.2908,76.7065,69.3262,76.7378,58.5687,60.6721,64.1712,53.9085,51.4943,55.1996,56.0354,53.328,52.1603,56.604,55.3472,54.09,60.265,72.6536,82.9696,92.5151,103.1965,127.6742,100.8325,114.3501,137.8821,139.375,136.0301,133.5836,100,93.4286,96.4687,98.7559, -Andorra,6,GDP Deflator,"Value US$, 2015 prices",11.0126,11.9675,14.0371,17.3204,20.2818,23.8008,23.7903,25.8526,30.8991,41.2674,43.7926,38.2124,36.474,31.2571,30.9173,31.7419,42.7331,51.3486,57.6616,60.6535,75.5985,79.3028,85.8913,72.2334,71.2844,80.3614,79.7405,70.5201,70.149,68.9373,62.3063,62.192,67.633,83.4427,94.8764,97.9687,101.989,115.5784,126.1479,119.6343,115.8816,124.6717,116.4981,120.386,120.1743,100,100.4356,103.6631,109.3409, -Angola,7,GDP Deflator,"Value US$, 2015 prices",14.2925,14.1935,14.4999,16.4025,17.8461,13.846,14.0191,15.1771,17.8757,19.7888,25.6867,25.1472,25.1472,25.1504,25.1507,29.9382,27.2311,29.3056,29.9687,34.7395,38.548,45.2133,55.1469,52.5694,53.3867,22.2466,25.7388,28.1208,22.6347,21.1474,30.4481,28.8954,32.2756,36.5197,43.5198,59.3896,75.3657,82.3662,100.5139,79.1371,89.9529,115.972,122.389,124.4948,126.5879,100,89.3354,108.0464,94.8327, -Anguilla,258,GDP Deflator,"Value US$, 2015 prices",9.5388,11.5068,12.175,13.2233,14.5918,15.4087,14.5299,16.2091,17.4064,18.3407,20.1832,22.4544,26.2052,30.2173,33.5839,37.3263,42.7934,48.2437,52.2557,59.9352,52.9963,66.5746,56.2061,57.061,58.951,60.9192,62.7549,63.4918,65.0488,66.6561,67.0058,67.5921,71.4107,72.8865,75.6741,76.1795,78.5803,86.6538,87.696,85.6937,85.0615,89.19,91.2354,92.3943,97.1477,100,97.2424,93.462,102.5506, -Antigua and Barbuda,8,GDP Deflator,"Value US$, 2015 prices",11.9519,13.5143,17.247,22.0826,22.7645,24.63,22.487,23.8596,26.0917,29.0059,32.4348,34.9641,38.5889,40.1327,42.2668,45.3088,49.5878,52.9544,58.1981,60.8643,61.8687,63.4812,65.0437,66.2231,68.3717,70.015,72.0994,73.4169,74.9659,76.0936,77.2755,78.4212,78.9716,78.2886,79.4938,83.0406,83.3791,86.4926,90.2815,91.9399,93.2946,94.2419,96.1604,95.2502,97.0709,100,101.8724,100.9239,103.1086, -Argentina,9,GDP Deflator,"Value US$, 2015 prices",13.7877,15.8965,14.6745,15.9282,17.0009,18.2036,19.2759,20.4239,21.8212,23.6416,25.7771,28.2162,29.9595,31.1329,32.256100000000004,33.2762,37.3012,37.3895,44.4703,28.8806,53.9967,65.5848,71.7029,69.8368,71.8221,74.0405,74.0082,73.6768,72.4204,71.0903,71.8277,71.0407,30.2622,35.3132,38.2702,42.5043,45.9602,52.1213,63.2078,61.8032,71.1584,83.4456,92.4649,95.2446,90.3294,100,88.2888,99.1296,82.0326, -Armenia,1,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,40.046,41.4003,42.3437,43.347,44.2726,45.2009,52.9774,52.6136,56.5984,53.4615,52.2929,52.896,51.5742,53.4225,61.6173,74.1439,85.3342,108.1773,128.131,110.6756,115.944,121.3417,111.1719,112.7555,113.5673,100,99.7603,101.4078,103.9324, -Aruba,22,GDP Deflator,"Value US$, 2015 prices",75.941,73.3251,70.7994,68.3606,66.0059,63.7322,61.5369,59.4172,57.3705,55.3943,53.4862,51.6438,49.8649,48.1473,46.4888,44.8874,43.3412,44.9018,46.2903,48.127,50.926,53.784,55.8238,58.7805,62.4917,60.5282,62.4645,64.3171,65.553,67.0399,69.7536,71.7583,74.1414,76.8475,78.7915,81.4655,84.4094,88.5538,95.1848,94.7347,93.6796,99.5789,100.3647,98.1043,100.13720000000001,100,99.5372,100.5876,104.4742, -Australia,10,GDP Deflator,"Value US$, 2015 prices",14.403,15.4696,17.7425,24.6217,28.9532,30.1046,31.314,30.7513,34.4862,37.0554,41.3493,46.6198,45.3241,43.443600000000004,44.2745,37.5394,38.4998,43.3172,52.8057,56.5186,57.4144,58.1967,55.3458,51.8006,57.002,59.1887,63.2557,60.7558,51.6095,54.3713,51.1164,46.9053,50.8064,62.655,73.7466,80.4778,83.3337,96.7918,101.8799,95.8335,119.76220000000001,137.1954,137.5033,130.0573,120.5858,100,102.6279,107.7425,108.4924, -Austria,11,GDP Deflator,"Value US$, 2015 prices",11.3774,12.5741,14.6244,18.6546,21.3967,24.4466,25.0694,28.6271,34.5326,39.0577,42.6063,36.9355,36.3304,35.7,33.6364,33.4941,46.7295,57.806,60.0899,57.7422,69.2081,69.8482,76.794,74.5503,77.8403,89.7888,86.3485,75.8519,75.1111,72.1744,63.2659,62.6446,66.6395,80.9605,90.6195,93.0631,95.6542,106.6788,116.4073,112.4824,108.1745,115.6231,109.0625,114.5323,116.9355,100,101.4004,104.7304,111.3476, -Azerbaijan,52,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,31.6784,32.7497,33.496,34.2896,35.0218,35.7562,36.4109,42.9258,43.8048,42.0247,43.5369,42.8825,42.8117,45.3269,49.4929,59.0186,69.5273,87.2885,116.667,96.7174,110.2467,139.6302,144.3412,145.1426,143.2484,100,73.6001,79.6551,90.2157, -Bahamas,12,GDP Deflator,"Value US$, 2015 prices",16.281,16.5994,18.4958,19.6709,28.6519,31.4044,32.8893,31.9953,32.6718,31.4702,35.4609,40.4716,42.7099,45.8856,42.9231,44.59,47.3508,50.6228,51.4452,54.336,57.0791,58.5424,60.8335,60.3095,61.6211,62.1296,67.6669,68.9078,71.0086,74.5244,75.2114,75.4771,78.4672,79.3728,80.321,84.3827,85.0817,87.5886,88.8926,87.9721,87.627,86.8736,89.7127,91.0808,93.4159,100,101.1322,102.8595,103.5585, -Bahrain,13,GDP Deflator,"Value US$, 2015 prices",8.959,9.5064,10.8273,13.5443,17.097,19.7783,21.8144,24.2758,26.6949,30.7654,38.6656,46.7576,53.1457,50.1943,50.0341,55.7327,46.0439,45.9039,46.2367,48.443,50.7544,51.3949,49.8301,48.3213,53.2147,55.2743,55.6732,56.3926,51.4307,52.5959,58.7425,56.7665,58.7046,63.7548,70.7621,80.4813,87.5977,94.9872,105.7855,92.0394,98.8858,108.5141,111.7854,112.2151,110.3398,100,100.1004,105.9862,110.5002, -Bangladesh,16,GDP Deflator,"Value US$, 2015 prices",18.9739,18.0717,23.3942,24.6762,26.8967,29.3881,31.0054,31.8035,38.0655,42.0393,47.2666,46.3667,41.6873,40.5595,45.0959,45.4244,45.9215,50.0833,52.5753,55.7053,54.5338,56.3587,55.1948,54.491,55.6397,59.6281,59.8987,58.798,57.9226,57.9273,55.546,52.7209,52.4494,54.5771,55.5888,54.0379,61.5332,65.5706,71.0103,75.3297,80.0046,81.0521,79.4125,89.207,94.8246,100,105.7689,109.9168,111.8576, -Barbados,14,GDP Deflator,"Value US$, 2015 prices",8.1159,8.7791,9.9168,11.9395,14.9726,16.9219,17.5989,19.3151,20.6115,23.1632,28.4836,31.9658,35.1316,37.1092,39.061,40.4413,42.2504,45.362,46.6389,49.7807,51.6763,53.35,55.4366,57.7671,58.5196,60.3099,61.8534,62.419,67.8429,70.8601,69.9086,71.4924,72.1363,72.9478,77.1968,82.3438,83.5091,90.9446,92.0896,92.5652,96.1241,99.4961,98.7229,101.6386,102.0381,100,99.8218,102.232,104.8851, -Belarus,57,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,66.071,68.3054,69.862,71.5172,73.0444,74.576,75.9415,66.264,65.9777,50.8582,41.2608,46.7248,52.564,60.0018,69.908,83.3881,92.7515,104.6381,127.3592,103.0009,107.5408,109.9563,114.933,130.9084,134.2576,100,86.6693,96.9186,102.5437, -Belgium,255,GDP Deflator,"Value US$, 2015 prices",15.4742,16.654,19.7421,23.8697,26.8854,31.9356,32.7297,37.8883,45.0301,50.5473,52.7539,43.6822,38.1845,36.0363,33.622,34.2336,46.7759,56.9121,59.0412,57.7351,69.9916,70.465,77.409,74.8063,78.9754,90.7223,86.793,75.6865,75.9392,73.2355,64.6081,63.996,68.4099,83.5565,93.6863,95.7859,98.8128,109.8893,119.8548,114.2722,111.006,118.6191,111.7865,116.9855,118.0455,100,101.4758,105.4149,111.8894, -Belize,23,GDP Deflator,"Value US$, 2015 prices",9.8932,11.7479,14.5933,23.8846,29.1533,33.5555,26.6256,32.8568,34.7701,39.1281,51.6932,50.5508,47.1071,50.7622,55.543,54.5393,56.8017,61.9523,64.6146,65.9313,66.0362,68.6941,70.0807,71.2381,73.7941,78.2796,79.8211,78.6427,79.824700000000007,78.0411,78.4125,78.1704,79.5129,77.3209,78.8776,81.0997,84.9584,88.822,91.2089,88.7192,90.0466,93.714,95.3928,97.6625,99.2104,100,102.8899,104.5005,104.3002, -Benin,53,GDP Deflator,"Value US$, 2015 prices",25.0461,26.0382,29.1993,34.2902,34.4929,45.0521,47.3107,49.6491,60.5815,68.3137,79.7775,71.4503,62.9054,56.8189,50.519,46.7333,58.4369,69.3992,69.8275,65.2202,73.5034,71.4758,78.483,75.1083,51.7251,67.7724,70.6892,64.2272,66.8676,64.3509,58.0647,57.5076,62.6317,77.4089,85.8181,89.6414,92.32,101.1161,115.1832,112.0101,107.7286,117.2945,116.4345,122.2774,120.6225,100,96.6448,98.6676,104.019, -Bermuda,17,GDP Deflator,"Value US$, 2015 prices",8.9006,9.7503,10.679,12.0473,13.8524,14.733,15.1431,16.0299,16.9947,18.5399,21.4473,24.3123,27.0987,29.9228,32.1551,34.1237,36.2794,38.1916,40.2739,42.6481,45.3354,46.978,49.1172,51.0779,52.305,53.2613,54.4279,56.2246,57.7574,59.3336,60.306,59.4809,64.5846,66.409,69.5001,74.1999,78.2178,83.1682,86.1541,88.0468,89.0157,89.4055,92.5948,95.9172,96.6784,100,103.5507,103.936,105.7298, -Bhutan,18,GDP Deflator,"Value US$, 2015 prices",59.7341,62.4645,65.2555,72.3445,81.0042,78.2913,73.2145,75.0812,67.3669,72.0024,83.7233,84.5393,86.9302,90.2521,83.4594,80.9879,83.9156,76.903,78.217,69.8386,67.4889,57.0868,55.435,51.1354,56.7582,59.2131,58.8253,64.7754,61.7276,63.7612,64.0861,64.2517,65.4141,70.3598,75.0677,81.6569,83.7807,94.6409,95.063,89.5843,100.5094,106.9507,101.9836,98.4563,101.4159,100,99.7587,108.5892,107.945, -Bolivia (Plurinational State of),19,GDP Deflator,"Value US$, 2015 prices",12.5621,12.9531,14.0189,13.4724,21.645,22.5157,24.6613,23.6156,25.2767,27.3738,29.8465,32.6706,34.689,36.0477,37.3482,38.5293,39.3053,40.2771,41.6979,41.2093,40.6502,42.391,44.0497,42.9272,42.7734,45.8779,48.423,49.4355,50.4638,48.9931,48.4451,46.1887,43.7619,43.5601,45.3888,47.3115,54.1414,59.3208,71.0239,71.4604,77.7699,90.15,96.9276,102.7388,104.8444,100,98.6451,104.6245,107.822, -Bosnia and Herzegovina,80,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,230.1336,200.2071,165.6596,129.8659,90.7084,54.1875,48.8171,49.0547,47.0216,47.5665,53.4726,54.3815,60.0508,73.0207,82.0638,85.1483,92.593,107.285,123.2621,117.1057,113.2135,121.7255,113.4075,116.9283,118.0133,100,101.1445,104.8116,111.8071, -Botswana,20,GDP Deflator,"Value US$, 2015 prices",17.5697,18.4199,18.9746,23.108,29.5228,31.6828,31.0234,36.1619,38.5671,44.0095,56.2252,57.5138,46.4588,45.0665,41.5285,32.8352,40.8778,52.0371,53.7669,68.1459,78.3793,75.8276,77.4591,76.2537,76.7664,79.6611,77.1371,73.9466,70.0562,73.1322,75.6823,71.5979,66.8763,88.2783,102.4987,108.6884,102.2763,102.0323,96.0882,97.6046,111.9681,126.7644,113.9919,105.7968,110.7779,100,104.0235,112.4494,115.1333, -Brazil,21,GDP Deflator,"Value US$, 2015 prices",10.0937,10.1258,11.6428,14.4632,17.1452,19.17,20.5544,22.7983,24.6598,25.4645,23.9428,29.5106,30.9838,22.7769,22.2015,22.0443,24.6581,26.1122,29.1871,38.4854,43.6016,40.1539,38.8272,41.5593,56.0067,72.0253,76.9948,77.2764,74.822,51.928,54.6689,46.3825,41.2563,44.524,50.4744,65.156,77.8551,92.5835,106.933,105.2457,129.6913,147.7353,136.5882,133.012,131.4473,100,103.0095,116.6037,104.9274, -British Virgin Islands,239,GDP Deflator,"Value US$, 2015 prices",15.609,14.9645,15.6151,16.7477,18.2425,19.1752,20.9758,21.2922,22.9742,25.6716,28.0918,30.5229,35.1286,37.3959,38.9112,39.9755,41.9085,43.5807,44.0295,48.2735,50.2528,53.4689,55.1799,56.6146,58.9924,61.6766,64.7028,68.0659,71.0108,72.567,74.5989,76.9115,77.2191,79.999,80.799,82.415,90.4034,97.8184,97.3518,87.0427,88.9149,87.7776,92.1345,90.1087,94.3201,100,102.6284,105.8874,108.8752, -Brunei Darussalam,26,GDP Deflator,"Value US$, 2015 prices",4.5237,4.5364,5.6468,8.2413,18.3155,19.8599,20.1324,22.1016,23.1896,27.3271,51.6517,57.0713,53.6193,48.1023,47.0421,44.4839,30.6395,35.0871,33.5069,36.7717,42.8898,43.718,47.1826,46.1536,44.5456,49.38,51.867,53.478,41.9124,46.1898,58.595,53.2259,53.459,58.2989,69.6369,83.9887,96.8178,103.2179,123.6996,93.8962,105.4835,137.4128,140.0186,135.8913,131.7116,100,90.4073,94.9185,106.123, -Bulgaria,27,GDP Deflator,"Value US$, 2015 prices",60.4413,55.8975,60.7311,66.9425,67.6933,54.8926,54.6397,52.566,53.9211,33.9878,37.0579,40.5644,43.0705,44.7575,46.3722,47.8387,48.8021,50.0088,51.7728,53.8025,55.8165,24.7146,30.0524,38.4072,33.804,57.2881,35.2739,37.8363,48.192,47.6704,44.19,45.5777,49.7486,60.9884,70.8807,75.533,81.4055,98.6681,114.0267,112.7795,108.6126,120.8707,113.3963,116.3439,116.8328,100,102.3273,108.3595,118.041, -Burkina Faso,233,GDP Deflator,"Value US$, 2015 prices",34.928,35.8126,37.349,45.5834,47.584,55.2886,53.5452,60.4251,69.7278,92.9713,99.1881,88.0549,79.0019,73.0359,64.2497,66.4132,80.694,94.1299,98.2192,96.1296,114.6817,106.2799,113.5389,104.5958,61.1579,72.6265,71.1125,63.296,67.5943,67.641,58.0149,58.5789,63.4923,77.273,85.0894,88.4061,88.5888,99.062,115.7333,112.3974,111.2078,124.5905,121.8623,123.247,122.3903,100,102.3538,106.5503,114.0359, -Burundi,29,GDP Deflator,"Value US$, 2015 prices",23.7384,23.6549,24.5457,28.4729,32.4554,38.8656,38.8083,42.273,45.5318,57.8874,70.7393,66.5925,70.4056,72.299,65.7821,68.5549,69.5543,62.944,56.241,57.5807,56.4554,54.4874,49.8258,48.0723,54.3834,54.7474,52.0316,58.0323,51.0197,46.6019,41.2626,37.7483,34.2554,32.8708,36.0211,58.6519,63.4224,65.3161,74.0016,78.5409,85.538,90.4605,90.1774,90.5544,95.8826,100,101.0212,106.4296,108.5222, -Cote dIvoire,107,GDP Deflator,"Value US$, 2015 prices",16.458,15.9995,17.9929,23.0451,26.6977,31.2799,33.4369,42.9203,49.2525,55.9218,69.9042,55.9714,50.1249,47.1377,48.467,47.3032,60.1295,66.4589,66.8122,62.3966,70.1218,67.9504,71.3515,66.3965,48.4583,60.4606,61.9152,56.574,58.0316,56.5672,49.1179,51.4054,57.6692,72.478,77.4333,78.562,80.632,90.5436,105.1444,102.0544,102.5372,110.4085,104.6442,111.7816,116.0635,100,98.7735,99.0498,103.9914, -Cabo Verde,35,GDP Deflator,"Value US$, 2015 prices",28.2403,30.2355,33.4251,40.5993,39.7368,55.6737,50.8941,50.2448,52.7378,54.7912,58.1811,52.6037,51.5893,46.3861,42.6142,40.922,55.0674,65.367,69.2948,66.3023,75.5866,77.6989,84.1724,79.1133,83.7077,93.4036,90.0846,81.7824,80.3794,81.5825,68.7153,67.5992,70.8161,88.672,96.561,95.3236,98.6483,109.0971,120.9019,117.1528,112.2552,120.9781,112.4349,117.8468,117.5848,100,99.5061,102.1147,108.5483, -Cambodia,115,GDP Deflator,"Value US$, 2015 prices",20.3269,21.3573,22.2805,23.5014,25.6163,27.989,29.5293,31.3641,33.5702,36.3554,39.6394,43.3901,46.0709,47.8754,49.6026,51.1712,52.2018,53.4924,55.3794,57.5504,55.4524,68.2549,67.8972,66.3239,67.7292,79.071,80.1018,74.4719,64.4651,64.6475,62.0398,62.4528,62.9663,63.1103,65.4473,68.131,71.0986,76.613,86.0433,86.3833,88.1089,93.9097,95.8648,96.9462,99.0465,100,103.7555,107.2696,110.562, -Cameroon,32,GDP Deflator,"Value US$, 2015 prices",19.0929,20.8111,26.0729,33.7885,34.8708,44.1165,50.8643,52.3083,56.4384,70.8294,78.8609,68.9811,64.4148,62.0024,56.5282,54.2776,70.0469,80.8854,82.1664,78.187,92.6564,92.5034,97.252,106.1953,60.3042,73.0181,74.9475,68.0575,70.1573,68.6001,61.3895,61.0099,66.1045,79.1495,85.8421,88.4756,92.2479,101.6083,115.9382,111.7607,108.5846,117.0159,111.0432,117.0917,119.4543,100,100.9332,104.5375,111.03, -Canada,33,GDP Deflator,"Value US$, 2015 prices",19.4836,21.1659,22.847,24.7927,29.1994,31.1223,35.0845,34.7421,34.5976,37.0629,40.7954,43.8812,46.417,49.1543,48.4299,47.4658,48.096,52.8143,59.4871,64.7413,67.9256,71.2849,68.5559,65.0591,62.3534,63.4416,64.9736,64.716,60.2939,61.3484,64.0342,62.4216,62.368,72.1324,80.2156,88.8148,97.3164,106.1451,111.1039,101.3137,115.6248,124.2663,124.5564,122.9528,116.6981,100,97.2618,101.8497,103.7504, -Cayman Islands,36,GDP Deflator,"Value US$, 2015 prices",8.7578,10.6291,13.0748,14.9201,15.8524,17.2079,18.6793,20.2764,22.0102,23.8922,25.9351,28.1527,30.5599,37.6599,39.4141,41.218,41.9986,44.9133,48.0315,50.5263,55.5589,57.2372,58.865,60.3485,62.2179,64.1128,66.2536,68.3957,68.8833,72.2371,74.7656,76.2757,78.2016,79.5075,83.0063,89.0728,89.7817,96.7778,97.4739,98.0663,97.8639,97.4146,98.1385,98.7833,99.6593,100,100.9227,102.8027,104.495, -Central African Republic,37,GDP Deflator,"Value US$, 2015 prices",19.0686,20.9493,24.433,27.5221,29.4369,38.9033,44.3806,46.1895,54.929,64.6356,76.9633,67.7097,62.5435,58.6237,52.3665,55.669,69.743,78.5066,80.9959,77.1042,91.4381,86.3989,89.7602,81.5805,51.6286,64.3393,62.8789,55.1337,54.3973,53.0542,47.6281,48.2268,51.6239,63.8524,69.237,71.8977,74.6927,81.9516,92.5265,90.6288,87.699,95.7551,91.8585,101.566,112.7224,100,106.1595,112.2144,120.7817, -Chad,39,GDP Deflator,"Value US$, 2015 prices",16.9438,18.152,20.2507,23.6008,24.1874,29.8051,28.4147,31.0658,37.1708,42.6602,46.7031,61.5171,54.5857,50.5165,51.7981,47.3967,55.0744,60.3202,65.4705,60.7637,70.8655,67.7643,69.0095,61.2741,47.0232,56.7905,62.1654,56.204,59.8924,52.3527,47.6808,52.7675,56.5227,67.7557,82.1915,101.3257,114.8986,109.9391,133.9934,111.6291,112.993,126.3629,121.0861,128.2362,129.7327,100,91.3637,93.605,100.1049, -Chile,40,GDP Deflator,"Value US$, 2015 prices",22.9527,25.2179,27.5608,41.6042,39.9339,21.3316,28.1381,34.7212,36.9777,45.9739,56.6534,63.9557,52.8829,44.8837,42.0193,36.3484,37.0039,40.5366,44.0882,45.4794,48.2774,51.0953,55.0055,54.5955,59.1324,68.4586,67.0103,68.7004,63.7875,59.1114,58.2778,51.4048,49.3502,51.6174,62.9253,73.4183,86.9275,92.9366,92.8875,90.5557,108.4587,117.9812,118.6269,118.8219,109.2755,100,100.946,110.5828,114.1447, -"China, Hong Kong SAR",96,GDP Deflator,"Value US$, 2015 prices",14.1978,15.485,17.9176,22.4418,25.6199,27.285,30.1,32.8892,35.3961,39.0245,45.4103,44.7199,45.1673,39.4734,40.2191,42.5235,44.0558,47.8808,52.0435,58.6255,63.1427,69.079,76.2174,82.8355,88.1534,91.7145,97.1305,102.6216,103.83,99.4213,95.6317,93.8439,90.6495,85.3367,82.2591,82.2482,81.9085,84.1147,85.3522,85.4165,85.4558,88.6176,92.0852,93.7592,96.4555,100,101.5006,104.0808,107.2564, -"China, Macao SAR",128,GDP Deflator,"Value US$, 2015 prices",7.0042,7.7786,8.8366,11.1833,11.9356,12.8112,11.8261,14.0266,16.9964,18.006,19.9071,19.424,19.4182,17.5094,18.6022,19.2749,20.3249,22.7489,24.6656,27.7705,30.8718,34.5367,39.8177,43.6471,46.6315,50.4047,51.5315,52.3196,51.2613,50.5387,49.4847,48.7452,48.1015,48.2129,49.1326,51.9391,56.0609,60.7447,67.0054,67.8964,70.9818,76.1493,81.715,88.0351,95.6656,100,100.7777,102.478,105.5854, -"China, mainland",41,GDP Deflator,"Value US$, 2015 prices",40.0276,40.3167,44.246,49.971,50.8357,53.0108,50.7441,53.592,59.9271,67.219,72.3756,65.1232,58.5714,56.756,50.7208,44.1616,39.3147,38.3233,42.9637,46.1262,38.3869,36.8076,38.4415,42.3783,34.1727,40.086,42.8854,43.7068,43.3701,42.826,43.708,44.6105,44.8797,46.0476,49.2502,51.6879,55.2055,62.3448,73.5772,74.6831,80.7213,91.4095,95.7503,99.6623,101.305,100,94.7317,96.7474,101.7348, -"China, Taiwan Province of",214,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,72.36,74.15,76.13,77.12,77.13,80.92,80.95,81,83.09,87.36,90.4,93.3,96.54,98.2,100.52,102.88,105.15,108.56,106.48,105.51,104.85,104.41,102.95,102.18,100.64,99.39,98.87,96.26,96.38,95.14,93.09,93.72,95.14,96.73,100,100.76,99.91,99.31,99.38 -Colombia,44,GDP Deflator,"Value US$, 2015 prices",19.9724,20.457,21.0944,23.3848,26.5747,27.5278,30.7805,37.5218,41.3104,47.1133,54.0957,57.6348,61.129,59.8198,57.1745,50.5784,47.8597,47.2785,48.9793,47.7601,46.6484,46.8303,48.1749,52.7477,66.2102,72.8302,74.9462,79.5639,73.0629,66.8148,63.0094,60.9371,59.298,55.1273,64.7455,77.4072,80.4863,96.1311,109.3936,103.969,122.612,133.5037,142.3652,140.2963,133.6974,100,94.3984,102.6785,105.9346, -Comoros,45,GDP Deflator,"Value US$, 2015 prices",13.7866,14.6215,16.8561,20.9613,22.9879,33.4873,32.9182,35.0236,44.0785,53.7768,59.9461,53.4004,47.0411,46.734,43.2669,45.1812,62.8649,74.7735,76.9101,74.8947,91.0916,90.1208,89.5527,86.0827,64.0505,77.1717,77.7475,68.6381,68.9196,69.8766,62.0837,65.5253,71.806,90.5169,102.9771,103.5003,107.0375,121.2298,129.7471,124.261,119.2762,126.8814,118.6666,119.6653,118.4969,100,97.7812,99.9665,106.2745, -Congo,46,GDP Deflator,"Value US$, 2015 prices",14.8732,15.6027,18,20.4417,24.9002,29.5953,29.3077,31.5542,36.9933,45.1903,57.2782,55.2232,48.4379,44.5212,43.4285,43.2816,39.7753,49.3261,46.6722,50.2651,58.2778,58.3037,55.2299,51.0434,35.7435,40.9435,46.2076,43.2984,34.6362,43.4872,55.2981,46.227,47.7722,54.8567,70.431,85.6714,96.2565,112.0961,139.4901,101.322,126.954,150.8755,148.1317,152.9249,148.0029,100,92.8654,105.0945,134.2934, -Cook Islands,47,GDP Deflator,"Value US$, 2015 prices",10.0109,11.2186,13.1636,16.3938,19.0699,18.9515,19.3042,18.8251,20.1109,22.038,23.8972,25.7141,25.0211,24.5698,22.1499,21.2831,25.3588,32.7487,40.9579,39.6135,41.0189,41.7452,40.7138,43.8174,50.0559,55.7232,56.344,53.0459,46.6199,48.6145,42.6647,43.0492,48.1806,63.4622,72.543,75.0575,73.5539,79.8863,80.458,77.0857,90.5736,101.4633,110.901,106.6741,111.7973,100,97.7477,99.548,98.875, -Costa Rica,48,GDP Deflator,"Value US$, 2015 prices",14.7327,15.0918,16.037,18.384,18.9859,21.8785,25.5117,29.8332,32.1931,35.1371,41.7542,23.1994,24.8584,29.1754,31.416,33.4268,35.5632,34.9338,34.3778,36.8493,38.8786,37.5381,40.8969,42.7071,44.71,47.3628,47.2404,48.3424,49.0239,49.1734,49.8745,51.2988,51.5103,51.4763,53.1608,55.1114,58.2131,63.684,69.6583,70.2248,81.5938,88.7068,93.0793,97.4221,95.689,100,100.0984,98.5314,99.1941, -Croatia,98,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,36.4682,37.7015,38.5606,44.4449,56.1611,67.8219,67.7792,63.8784,66.8565,61.9373,55.5346,57.4817,63.2622,77.4618,89.1773,93.2837,98.7281,111.8886,128.3891,123.4777,119.7637,125.2516,116.078,119.9466,119.2153,100,100.6652,104.6426,112.344, -Cuba,49,GDP Deflator,"Value US$, 2015 prices",24.6015,27.5185,30.885,36.6592,41.4566,43.2514,43.4247,41.1524,48.4939,52.6488,56.2601,47.5658,45.412,45.6552,45.7939,42.9782,45.3814,48.3934,50.8199,49.6792,54.2574,51.5754,52.9765,63.0291,79.5944,83.0929,63.3503,62.4959,63.3107,65.708,66.8519,67.1549,70.1989,72.2856,72.7249,73.0013,80.5674,83.4607,83.1722,83.7,84.7061,89.0364,90.9438,93.3609,96.5942,100,104.2398,108.5294,109.6191, -Curacao,279,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,77.8771,80.3147,82.7241,88.4321,90.0239,92.5265,94.6852,97.7,99.0016,100.4853,100,100.0472,101.6334,104.2597, -Cyprus,50,GDP Deflator,"Value US$, 2015 prices",16.5358,17.1365,19.5015,23.1447,24.6804,25.4168,24.9067,27.4191,33.3249,39.7356,45.4727,42.5865,41.5557,39.5022,38.2267,38.8331,47.8023,53.503,57.0054,56.3425,63.9657,65.5862,71.8248,68.0364,72.4247,78.7025,78.3752,72.7081,73.5755,71.7865,64.3394,64.5478,68.1791,84.7966,96.1715,99.0717,103.2761,115.8268,129.3786,123.0214,119.4909,127.4472,119.7696,122.5963,120.7613,100,98.9161,102.7832,108.914, -Czechia,167,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,33.7966,28.0337,32.9472,38.5397,43.8494,51.8888,55.7936,51.7754,55.8954,53.7607,48.9993,52.1556,62.2393,73.0681,83.308,89.4325,95.4778,110.0479,133.5048,122.6658,120.6941,130.2859,119.4835,121.2373,117.1396,100,101.9236,108.0976,119.2458, -Czechoslovakia,51,GDP Deflator,"Value US$, 2015 prices",18.0318,17.95,19.536,22.0387,22.3041,23.1173,21.9652,30.1725,31.9319,33.3157,33.8763,36.0046,36.2394,35.1669,30.7914,29.9379,34.2467,37.6883,36.3153,35.4693,25.0285,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -Democratic Peoples Republic of Korea,116,GDP Deflator,"Value US$, 2015 prices",64.7385,64.7385,64.7385,64.7385,64.7385,64.7385,64.7385,64.7385,64.7385,64.7385,64.7385,64.7385,78.4174,75.5426,69.4256,65.9836,73.5829,76.4855,74.3892,81.5221,79.4108,77.3458,75.7633,68.4059,54.0303,32.9833,74.5135,77.6843,78.0186,73.5949,75.6308,75.7373,74.0789,73.6963,72.9618,82.0485,87.5631,92.5435,83.2814,75.8424,88.2959,98.5531,98.6332,101.6214,105.6164,100,99.2531,106.3786,111.7653, -Democratic Republic of the Congo,250,GDP Deflator,"Value US$, 2015 prices",18.467,19.4824,21.4558,25.2946,29.9144,33.5827,33.4252,42.4431,63.6487,62.1133,58.0631,50.1489,50.2426,42.0107,23.9479,25.4994,28.1348,23.3623,26.6158,45.5695,50.4298,52.6882,53.979,81.3965,45.9327,44.33,45.8337,49.9601,53.1254,49.3694,50.4731,51.5802,52.396,50.8201,54.8554,60.0515,68.871,75.063,83.5467,76.5474,82.6479,92.6574,98.1334,100.8487,101.2531,100,103.8883,93.4886,110.6885, -Denmark,54,GDP Deflator,"Value US$, 2015 prices",12.8657,13.9607,16.3515,20.7784,23.3596,28.0867,29.2023,32.0158,37.9732,42.6178,43.2873,37.9109,35.6977,34.9283,32.68,33.311,44.6361,55.3076,58.4184,56.4652,68.4348,67.9714,73.2216,68.56,70.9841,81.6241,80.4492,72.0564,71.8952,70.2203,62.4334,62.1625,67.0718,81.5704,91.5734,94.1429,96.9076,108.4381,120.576,115.2732,113.4209,119.5746,113.4591,118.0573,119.3575,100,100.1978,103.3107,108.9406, -Djibouti,72,GDP Deflator,"Value US$, 2015 prices",13.7348,14.6132,16.9994,20.2268,26.3869,26.3367,28.9289,35.3553,42.0081,44.1274,48.0719,49.5897,50.9672,50.8639,51.1292,53.357,58.3873,60.2745,63.6259,67.1636,66.2186,69.7705,68.0716,65.0068,70.5884,66.6811,68.4436,64.7307,65.7218,67.1301,69.1187,70.5391,70.5394,71.9594,74.167,76.4433,73.573,77.2964,84.7532,83.3816,84.8345,87.8994,91.1214,96.2971,97.5797,100,100.1496,100.7078,100.7146, -Dominica,55,GDP Deflator,"Value US$, 2015 prices",16.9611,17.6517,17.6294,18.6632,20.7566,21.2206,19.3499,21.0015,23.3188,28.0582,32.7394,32.7277,34.2036,36.9396,39.3599,42.6372,45.2703,47.1553,50.2869,54.2914,55.0729,57.3718,60.384,63.275,67.0637,66.891,69.6649,70.498,72.3561,74.1873,74.6675,75.9709,76.492,74.0443,80.1659,79.4926,81.6373,83.0345,84.2629,90.6521,92.2765,93.5253,91.5788,95.7775,94.2969,100,103.7846,101.0439,104.7092, -Dominican Republic,56,GDP Deflator,"Value US$, 2015 prices",25.3436,25.6437,27.7021,28.9501,34.0769,39.8507,40.9945,45.332,45.8053,50.8965,56.8415,59.7391,64.3788,66.6209,79.0128,34.9944,40.9158,34.7482,31.0509,42.8748,51.3566,52.8108,55.4202,58.6476,62.2418,65.9057,66.719,71.0871,70.5505,69.2467,71.8278,74.2267,71.4085,56.8961,61.2381,89.5172,86.4031,91.9329,96.9623,96.8863,98.8947,104.2808,106.521,104.9246,102.7755,100,98.6252,99.1146,99.1195, -Ecuador,58,GDP Deflator,"Value US$, 2015 prices",16.4927,14.9293,16.4446,17.6282,26.8794,28.3782,31.0723,37.0881,37.9374,43.4818,52.8894,61.0827,55.474,47.9046,46.0261,44.903,38.7556,35.3835,31.2741,32.9529,34.8687,37.2709,38.8747,39.9017,45.8904,48.2871,49.0066,52.4401,50.4565,37.1864,34.3178,44.069,49.3949,54.6273,56.9555,61.3597,66.2691,70.6762,80.463,80.9904,87.0364,91.965,96.5497,99.538,102.5547,100,101.9016,103.8851,106.5044, -Egypt,59,GDP Deflator,"Value US$, 2015 prices",28.8397,29.5458,30.4198,31.3934,36.2045,38.5361,40.03,47.459,53.8502,32.5382,38.128,24.6321,26.1539,27.1783,28.1588,29.0493,29.6343,30.3671,31.4382,32.6707,33.8937,35.0399,38.3728,41.2326,44.2962,49.2829,52.7323,55.1309,56.6201,56.2743,55.5945,50.9186,47.0608,39.0747,40.1175,45.8047,48.9004,56.0153,65.1995,71.0218,77.1308,81.6094,95.5278,91.5396,98.8551,100,81.511,56.4924,68.6554, -El Salvador,60,GDP Deflator,"Value US$, 2015 prices",4.1404,4.1532,4.1958,4.6173,5.1365,5.524,6.7722,8.0219,8.0881,9.2085,10.448,11.0451,12.1322,13.6317,15.3007,18.4461,25.2774,28.8231,33.5435,39.0951,42.8038,45.0556,46.3706,49.6278,53.7955,58.7423,62.0582,63.476,65.4618,65.2901,66.7504,68.3999,68.9123,70.4463,71.6779,74.1198,77.6473,79.5048,83.0052,83.8544,86.7024,93.2634,96.5164,97.4464,98.7093,100,100.531,101.4192,103.3864, -Equatorial Guinea,61,GDP Deflator,"Value US$, 2015 prices",7.5542,7.5217,7.0397,8.3439,8.6097,10.001,10.3591,10.694,12.7482,15.1728,15.6704,13.9439,16.1909,17.4176,17.3142,19.2034,24.9295,29.0708,31.0648,29.0272,34.8123,35.0597,36.5335,32.9248,24.8807,29.0469,34.0942,33.5476,23.9019,32.4651,47.2923,41.1794,42.168,50.5312,61.9153,86.178,96.8917,108.922,139.7031,104.8916,124.9082,153.4523,148.7174,152.0318,149.9823,100,93.4973,107.3768,119.9243, -Eritrea,178,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,21.1455,21.8606,22.3588,22.8886,25.3227,21.2394,24.2848,23.2512,22.2995,21.4479,19.0524,23.1537,20.6374,23.9067,31.2981,30.5546,34.0203,36.4997,42.3675,54.8678,61.2181,69.3879,76.0877,83.5181,91.5431,100,110.7941,124.7782,138.4826, -Estonia,63,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,38.4816,39.7829,40.6896,41.6536,42.5431,43.4351,44.2304,42.1596,44.4466,45.4706,40.7909,42.2839,46.6305,58.081,66.8821,70.9,78.0308,95.6338,109.3017,103.6537,100.6352,111.2507,106.9627,115.0013,118.3026,100,101.4417,107.3706,117.3272, -Ethiopia,238,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,88.5134,108.8344,95.5891,60.854,56.9302,56.9437,54.4455,54.7797,51.7635,46.6861,48.2276,44.1609,42.0138,47.2025,48.8446,53.4772,59.4345,67.5924,82.2656,83.2442,69.0222,70.6608,90.0681,89.807,94.784,100,106.3511,103.3488,101.1794, -Ethiopia PDR,62,GDP Deflator,"Value US$, 2015 prices",26.5878,26.9426,28.0785,31.6153,35.0417,34.8782,37.2569,41.9141,45.1882,46.9995,47.3248,48.0921,48.9389,50.9521,63.3168,78.7789,76.9589,75.3918,71.6685,72.4139,78.0953,95.522,84.3191,55.0112,,,,,,,,,,,,,,,,,,,,,,,,,, -Fiji,66,GDP Deflator,"Value US$, 2015 prices",17.3131,18.1993,21.6364,26.1467,33.3914,39.9757,39.9328,39.2876,44.4007,48.6691,58.4373,56.376,55.7297,53.9646,52.2783,52.7178,55.8416,54.4958,50.4657,50.3576,49.5288,52.6724,56.1519,58.9479,62.5486,66.5254,67.3281,69.1437,54.0103,58.1827,51.3313,49.5731,53.3087,66.2851,74.1355,79.4611,80.5201,89.2281,92.1333,76.1334,80.8671,94.6375,98.1971,98.9003,108.5664,100,102.7131,105.7903,105.6867, -Finland,67,GDP Deflator,"Value US$, 2015 prices",14.3375,15.4505,16.8779,20.8363,25.7548,30.0052,32.2842,33.8872,35.633,40.7733,46.7099,45.093,44.038,41.2468,41.4682,42.3218,54.2196,65.2314,73.8405,76.7003,90.5798,86.96,79.2254,63.2406,70.4542,87.8193,83.4165,75.3448,75.4601,72.929,64.1001,64.3152,68.2804,82.0392,90.8007,91.7862,93.4422,104.7543,115.5188,111.4977,106.6431,114.8706,109.329,115.8683,117.6695,100,99.9248,102.8084,109.7661, -France,68,GDP Deflator,"Value US$, 2015 prices",16.3085,17.3131,20.3096,24.817,25.6944,32.7853,32.4155,34.5247,41.0059,47.984,53.9577,46.859,43.4353,41.0703,38.3484,39.3321,53.605,63.2856,65.896,63.5463,76.4347,75.6469,82.21,78.095,80.3957,90.4302,89.4359,79.0737,78.9751,75.8267,66.5916,65.9771,70.8243,86.5132,96.7233,98.7488,101.7604,113.8612,124.7453,118.3829,114.071,120.8655,113.0105,117.6906,118.2798,100,100.2583,102.8588,108.3766, -French Polynesia,70,GDP Deflator,"Value US$, 2015 prices",18.0942,18.8789,21.782,26.6935,29.1305,38.0778,39.8611,42.0123,48.3426,57.7778,65.5398,56.4945,51.6323,50.8679,49.8174,51.6541,72.7666,75.0727,77.0777,74.5325,87.7442,85.6566,92.4081,87.3652,90.2434,101.1503,96.6588,90.8567,91.4686,87.2376,74.2336,71.9569,75.0084,90.791,100.2148,101.4905,103.5943,114.859,123.2726,118.7626,112.9004,118.5492,109.9517,115.9962,117.486,100,100.6178,102.9088,107.7346, -Gabon,74,GDP Deflator,"Value US$, 2015 prices",11.8943,12.716,12.8821,19.6325,30.0774,35.2629,36.2615,38.7219,43.3655,54.7343,75.4022,64.7342,62.5726,55.5496,54.243,57.1348,54.5315,64.4427,57.2273,56.7265,70.2393,65.9076,70.396,66.4623,48.847,55.0595,61.0107,54.1868,44.3438,51.0744,56.9122,50.7534,53.8926,63.8114,75.7325,91.4807,101.7198,115.3218,148.9248,115.9943,128.9066,152.4595,136.7668,132.627,131.3985,100,95.5771,101.2486,113.8433, -Gambia,75,GDP Deflator,"Value US$, 2015 prices",44.5292,46.7283,60.6891,94.6604,117.0411,132.2703,123.2529,128.2068,145.1488,164.4141,185.588,166.5383,156.1953,160.0397,152.3408,185.9137,123.6576,134.1744,160.1404,160.7128,169.3587,160.5876,160.5192,164.7238,162.6082,169.7171,175.6919,165.757,167.2061,151.7322,137.3802,114.0262,95.4802,78.6111,85.5416,93.5943,96.536,113.7344,130.6309,113.7144,114.2677,113.6129,108.3612,102.4025,92.8295,100,104.434,102.1891,104.0588, -Georgia,73,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,52.4126,54.185,55.4199,56.7329,57.9444,59.1594,60.2426,62.4648,62.3604,46.974,50.3753,50.6039,50.6052,53.5585,65.012200000000007,74.1983,81.9235,95.5789,117.3772,102.5129,104.2917,119.8677,122.939,123.6948,121.4477,100,98.3974,100.6766,104.0484, -Germany,79,GDP Deflator,"Value US$, 2015 prices",15.4566,17.3584,19.9589,25.3128,28.0448,31.1692,31.4617,35.1725,42.105,48.1162,51.1639,42.868,41.754,40.7969,37.3293,36.8531,51.4618,62.9682,65.5336,62.9802,75.7719,76.0476,85.0986,83.504,86.815,100.2611,96.0484,83.583,82.9294,79.7595,68.648,67.5348,72.0072,87.5053,97.33,97.8853,99.1363,110.0664,118.8677,114.8105,110.1651,116.8686,109.6337,115.523,117.5846,100,100.9111,104.137,110.5095, -Ghana,81,GDP Deflator,"Value US$, 2015 prices",47.0811,48.6706,43.6246,38.6057,42.0797,45.9774,48.5077,51.5217,55.1456,59.7208,65.1154,71.2768,75.6804,78.6447,81.4819,84.0588,85.7516,87.8718,90.9714,87.4655,100.4034,107.2235,101.5058,83.9079,74.1338,84.5939,86.7333,82.736,85.7998,84.7541,52.5093,53.5763,59.3148,69.7765,77.0665,87.6904,99.5358,115.706,122.1517,106.0925,121.778,131.3064,127.3515,135.2756,111.3612,100,108.1226,107.2237,112.0894, -Greece,84,GDP Deflator,"Value US$, 2015 prices",13.8838,14.2969,15.0183,18.3886,22.2952,23.6065,24.1244,27.2036,31.0328,36.9911,38.3346,35.8567,37.8338,34.6154,32.9724,32.0277,37.5687,44.7542,49.8518,49.8556,61.6524,64.2278,70.5,67.0801,70.4759,81.0309,83.9394,78.8453,76.568,76.7155,65.1926,64.731,70.3589,87.2898,98.9744,101.3484,105.8089,119.3908,133.3303,129.6953,124.4807,131.6998,121.2756,122.3748,120.0414,100,99.4934,102.2192,107.4459, -Greenland,85,GDP Deflator,"Value US$, 2015 prices",10.1582,11.4468,12.9147,15.9725,18.3193,22.6228,24.3416,26.2226,31.1941,35.1513,36.6054,33.285,32.1591,32.149,30.9062,32.4493,44.2522,54.7619,59.1806,57.4116,71.2705,71.178,76.5928,72.046,73.7876,85.4957,83.411,73.5981,73.2494,71.1037,62.6617,62.9277,68.3986,83.7705,91.6168,88.5718,91.3177,99.7094,104.3245,104.7066,101.8299,109.75,105.2256,109.6845,110.8466,100,103.4792,107.5437,112.4829, -Grenada,86,GDP Deflator,"Value US$, 2015 prices",11.4755,13.5765,16.8798,19.1335,18.5912,22.2025,20.3954,21.614,25.3299,27.6597,30.1357,32.0555,33.751,34.6407,35.9347,37.6381,39.1495,40.8212,43.6084,45.0245,47.1279,48.2919,49.3577,50.639,51.7158,53.2948,54.7194,56.1012,55.1588,55.5405,72.4835,74.0375,74.3156,74.2562,75.7642,77.6339,81.2479,83.133,89.6557,89.6871,90.0767,90.277,93.9394,96.5756,97.3232,100,102.6436,104.2107,103.8903, -Guatemala,89,GDP Deflator,"Value US$, 2015 prices",12.624,12.4638,12.2956,14.0771,16.2836,18.4199,20.5368,23.9156,25.2296,27.3991,30.1441,32.7124,34.348,36.5925,38.1122,45.2593,34.1477,27.6591,29.4729,30.4071,26.8263,31.8197,33.6897,35.3947,38.7473,41.6754,43.5967,47.1027,49.0273,44.4617,45.1886,48.0295,51.3687,52.8522,56.0241,61.6038,64.9468,68.9404,76.5793,73.4485,78.22,86.5691,88.895,91.6163,95.9003,100,104.4476,111.9394,112.6037, -Guinea,90,GDP Deflator,"Value US$, 2015 prices",39.8435,41.8632,43.6729,46.0661,50.2114,54.8623,57.8816,61.478,65.8023,71.2616,77.6987,85.0507,90.3053,93.8424,97.2279,100.3027,102.3227,104.8526,108.5512,106.4622,111.8986,115.3403,120.3279,113.9488,114.7976,124.4882,123.878,114.9998,100.3742,93.0138,81.235,74.7719,71.1525,82.1352,84.7084,66.4575,69.2424,96.4956,102.7299,100.2073,97.5492,91.4446,97.1889,102.5515,103.6293,100,88.276,89.7391,99.6036, -Guinea-Bissau,175,GDP Deflator,"Value US$, 2015 prices",70.8135,73.0843,80.4256,98.013,103.0079,109.8436,94.2216,87.2536,89.0883,95.5794,107.3825,117.575,92.3867,96.0052,99.4688,86.2937,96.8543,99.249,87.834,101.1014,104.886,108.433,110.9041,113.5317,115.9561,118.3875,76.4491,55.5165,60.863,58.0691,51.989,53.4089,58.1088,67.5353,73.2695,77.6393,76.5391,87.1642,104.9259,97.062,95.2811,114.0407,104.5084,106.9893,106.7497,100,105.9267,114.5267,119.2161, -Guyana,91,GDP Deflator,"Value US$, 2015 prices",29.1562,30.036,31.0166,32.5118,42.5573,45.3352,38.913,39.5631,45.41,48.3904,54.0943,51.1744,50.0402,54.0209,52.0355,52.9045,60.0534,39.4146,49.204,47.5913,51.1332,42.4322,42.2145,48.6797,52.4313,56.934,59.8916,59.8662,58.3369,54.857,57.0564,55.761,56.2632,58.16,59.6963,63.7526,67.2346,74.8473,81.2596,82.6268,88.4989,95.9427,100.8452,100.7035,99.7478,100,104.5904,105.9086,109.9704, -Haiti,93,GDP Deflator,"Value US$, 2015 prices",9.4701,9.7423,9.8927,11.8502,13.569,16.1714,19.2376,20.6273,20.2346,20.8675,24.8841,26.2166,28.3091,30.8882,34.4502,37.8907,42.4099,37.4058,36.4887,39.3423,44.0617,41.8436,31.1467,28.1759,37.6408,43.4504,45.9842,48.869,55.4181,58.7117,52.1669,50.4669,46.3618,40.6204,54.5208,59.2067,67.9301,85.4877,88.0124,86.6038,94.5403,99.8175,101.4869,104.4256,104.7899,100,89.6365,99.3641,106.7144, -Honduras,95,GDP Deflator,"Value US$, 2015 prices",20.8032,21.1621,21.9798,23.1549,26.5769,28.2738,30.6862,34.4297,36.1724,40.3278,45.6558,48.9268,51.0953,54.6538,56.497,59.4622,61.7769,63.5254,67.6431,72.4288,42.6967,41.6174,43.9086,42.3787,42.0373,46.6005,46.3567,51.0264,55.3359,58.1359,61.0608,63.2912,62.6532,62.778,63.6683,66.0321,69.3325,73.9266,79.6494,85.7848,89.7961,96.6939,97.1505,94.3651,97.7855,100,99.6378,101.1411,101.157, -Hungary,97,GDP Deflator,"Value US$, 2015 prices",12.7118,13.027,14.4008,16.6822,17.2656,18.5384,20.7625,21.7233,24.2815,27.614,31.8948,31.7963,31.4866,28.3702,26.7939,27.2013,30.8589,32.595,34.9273,35.1479,41.5676,44.0838,50.6817,52.8111,55.1672,58.4994,58.7282,57.7173,57.2067,55.9199,51.4994,56.3278,67.6387,81.9981,95.3355,99.3903,97.7346,118.0723,132.0034,116.9892,116.5507,123.1747,113.5366,117.6548,117.2122,100,100.1871,106.5824,113.1498, -Iceland,99,GDP Deflator,"Value US$, 2015 prices",14.3691,16.1728,19.0816,24.4781,30.4986,28.138,31.5111,38.3059,41.0941,44.5192,49.8888,49.4275,44.418,39.1562,38.9424,39.2753,49.412,62.987,69.7395,64.6153,72.8327,77.9721,82.6946,71.6817,71.086,79.1618,78.9147,76.0513,79.5658,80.7731,77.2812,67.7864,76.2659,91.5791,102.7388,117.4196,114.2438,130.5422,106.5184,84.0101,90.4294,98.326,94.2854,98.5946,106.9715,100,111.2013,126.2847,127.5646, -India,100,GDP Deflator,"Value US$, 2015 prices",30.3516,32.0021,34.9922,40.4453,45.0923,42.8965,42.4968,46.0321,50.3063,58.6989,67.6422,68.078,67.3895,68.49,65.696,64.6934,67.7595,72.0758,72.6531,67.5743,69.3231,60.691,58.0291,54.1865,57.9219,61.1192,60.1709,62.515,59.4281,58.6965,58.2827,57.295,57.6832,62.5214,67.9489,73.7486,77.8144,91.185,94.6326,91.041,106.5204,113.4791,106.9729,103.587,102.7734,100,98.4538,105.4852,104.5618, -Indonesia,101,GDP Deflator,"Value US$, 2015 prices",15.8319,15.5351,16.6642,22.152,32.6322,36.7013,42.0089,47.4728,49.4451,46.4853,59.6594,70.1652,70.4546,58.5389,56.1599,54.6394,47.3067,42.7595,47.2681,49.5141,51.2323,52.682,53.3308,56.4761,58.7935,62.0789,64.7669,58.698,29.8912,43.5009,44.4802,41.727,48.6939,55.762,58.0807,61.1641,73.9358,82.4248,91.7823,92.7681,114.7847,127.8552,123.9464,116.7371,108.5264,100,103.0631,106.8867,104.3084, -Iran (Islamic Republic of),102,GDP Deflator,"Value US$, 2015 prices",7.4907,8.2419,8.9919,13.2121,21.3029,24.1342,26.7352,32.4049,35.9962,47.4179,63.9969,72.8537,73.2898,81.9013,92.5045,41.8155,44.7309,53.3572,59.8829,55.6157,51.818600000000004,50.1459,50.6619,55.8922,54.5381,53.2545,54.0535,49.3311,46.8106,47.3682,43.0287,45.9248,52.5074,50.0842,59.3531,68.5378,76.7599,93.2474,109.6173,109.5928,122.1704,146.0205,157.8981,141.5344,111.3556,100,95.3515,99.5854,107.4064, -Iraq,103,GDP Deflator,"Value US$, 2015 prices",12.474,13.1063,13.6729,14.4221,15.7199,17.176,18.1213,19.2472,20.601,22.3102,24.3255,26.6272,28.2723,29.3797,30.4396,31.4023,32.0347,32.8267,33.9847,35.317,36.639,37.8781,35.6113,17.1194,14.3553,15.1447,17.7502,15.9195,15.0565,22.3436,25.1207,25.6717,27.192,38.569,39.6074,53.1135,65.2253,87.7584,112.7526,113.6122,114.936,143.3131,147.6229,147.6274,143.4299,100,87.7928,104.3953,117.3653, -Ireland,104,GDP Deflator,"Value US$, 2015 prices",12.3256,13.8152,16.0763,18.1783,18.402,20.9192,20.5645,22.6121,27.4732,33.334,38.3889,35.3137,35.8682,34.7688,32.2609,33.1065,44.8865,50.6592,53.6143,52.6396,60.9815,60.4104,65.6576,59.9271,61.7284,68.1791,69.5741,68.48,68.5214,67.9331,62.802,65.198,72.1697,89.94,99.4611,102.7193,107.1979,118.371,126.2855,114.3009,105.5445,112.4387,106.2931,111.1886,110.9812,100,99.4384,102.7003,108.2409, -Israel,105,GDP Deflator,"Value US$, 2015 prices",14.2909,13.6274,15.964,19.4455,24.8281,23.8219,25.0194,26.8737,25.139,30.5119,34.0933,34.3309,36.7477,39.6462,36.8474,33.4094,39.7488,44.5703,52.9698,52.4602,57.8089,61.434,63.8034,61.5877,65.1438,69.8094,72.8414,72.9889,70.7877,69.0072,71.6449,70.6757,65.5836,67.9958,69.1675,69.8721,71.3871,78.1979,91.3811,86.8383,92.7696,98.8395,94.9677,103.6358,105.6377,100,102.3092,109.4017,110.9521, -Italy,106,GDP Deflator,"Value US$, 2015 prices",13.3822,14.4502,16.2362,18.3115,19.7387,23.0023,21.1911,23.6825,28.0573,33.0865,38.7795,34.7058,34.2864,35.1408,33.6476,33.8012,46.5347,56.7433,60.2586,60.7066,75.3588,78.2643,82.2521,66.9346,67.6442,70.6422,77.9408,72.4245,72.7502,70.5663,62.1178,62.1632,67.5192,83.5193,94.3385,96.3842,99.294,111.0174,121.6696,117.3244,112.3426,119.8115,112.4519,117.5382,118.5217,100,100.8706,103.7278,109.3882, -Jamaica,109,GDP Deflator,"Value US$, 2015 prices",18.1572,19.2913,21.5119,21.7835,28.1545,34.0128,37.7016,42.3142,34.2493,32.0963,37.4973,40.6506,44.398,47.6977,31.5503,29.2773,34.7822,38.5971,43.8531,47.1327,46.7139,41.3939,33.5864,42.4349,42.1563,50.3358,56.4063,64.719,68.5425,68.6427,69.0766,69.6395,73.1168,68.4354,72.873,79.8174,82.3034,87.0442,93.9943,86.8753,96.1615,103.2793,106.5217,102.2536,98.7995,100,97.8053,101.8587,106.0441, -Japan,110,GDP Deflator,"Value US$, 2015 prices",14.8659,16.0381,19.5909,24.6375,27.6877,29.2045,31.5681,37.2181,49.6742,49.015,49.948,52.8564,47.6164,50.4072,51.1475,51.572,74.1759,86.2872,97.9965,92.9461,90.8703,100.5337,108.71,124.5216,135.834,146.8136,126.3172,114.14,105.4477,119.597,124.6634,109.3239,104.4141,111.1032,117.7419,114.3789,107.4407,105.3397,118.8324,130.4623,136.4325,147.5498,146.4565,119.3382,111.8523,100,111.5587,107.9656,109.5758, -Jordan,112,GDP Deflator,"Value US$, 2015 prices",11.9266,12.6166,13.2806,16.2857,18.8202,24.8331,28.0719,31.8986,36.7799,36.8754,42.895,39.0374,38.8033,41.4867,40.5994,43.9764,50.3373,51.9249,47.4463,36.2691,35.4165,36.3564,40.3293,40.6809,43.1095,43.8225,44.178,44.7231,47.4082,47.2292,47.0347,47.4008,47.8374,48.863,50.3752,51.3866,56.8603,59.7319,71.5403,73.8578,79.684,84.5079,88.5543,94.0218,97.5154,100,101.264,102.9925,104.8084, -Kazakhstan,108,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,31.5212,32.5872,33.3298,34.1195,34.848,35.5787,36.2302,37.5264,38.1956,28.35,27.983,29.8459,30.2436,34.6211,44.2136,53.3546,68.3425,81.2395,100.1041,85.4669,102.3122,122.2395,125.9878,135.2796,121.4667,100,73.6457,85.9899,88.8102, -Kenya,114,GDP Deflator,"Value US$, 2015 prices",24.0355,25.0103,26.7008,29.9382,34.0323,37.4564,38.3754,45.4347,49.3566,54.5613,60.1825,54.6958,50.8076,46.6027,47.4192,45.0435,49.5797,51.5313,51.8637,48.4946,47.607,44.2519,44.0938,30.5037,37.8215,46.6585,45.8444,49.7734,51.7859,46.3125,45.3822,44.749,45.0684,49.6358,50.9987,56.0617,63.3196,73.3325,82.1765,82.0399,81.7691,80.8234,92.8845,95.8756,101.4908,100,102.0924,110.8226,116.343, -Kiribati,83,GDP Deflator,"Value US$, 2015 prices",14.862,16.1406,18.2575,24.6946,30.7829,28.1529,28.6922,28.3495,32.6501,35.2384,35.0756,42.8309,38.3312,40.1041,40.8726,31.8528,30.3017,36.3516,39.6316,41.5377,39.0961,43.5647,44.1389,42.9318,49.3735,50.7532,58.8526,57.8067,52.6191,57.0132,54.9639,50.4006,56.794,69.6529,76.9904,80.3559,79.034,93.2232,101.222,94.2759,112.1891,128.5255,128.4995,119.9759,116.6431,100,106.1257,104.0165,103.2604, -Kuwait,118,GDP Deflator,"Value US$, 2015 prices",5.124,6.4667,7.1325,9.2777,25.6529,27.0212,27.6749,31.0207,31.6801,44.4054,63.8744,69.3329,67.1572,60.1613,59.4438,61.361,47.1855,54.5066,56.0524,52.324,53.8817,54.4647,53.7447,48.4486,46.2803,48.7647,56.1538,52.7998,43.5427,51.4744,61.5674,56.828,60.2953,64.5171,72.6594,89.299,104.3986,111.1792,139.4779,107.9227,120.3994,146.5785,155.3235,153.6649,142.7944,100,92.7657,105.0089,122.9546, -Kyrgyzstan,113,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,49.3521,51.0211,52.1838,53.4202,54.5609,55.705,63.694,56.0655,50.9561,37.4481,38.939,41.2096,43.335,48.4524,52.1198,58.0654,64.8775,80.1944,99.9979,88.6854,91.0872,111.1309,118.5399,118.6841,116.1627,100,97.7807,105.5486,107.1834, -Lao Peoples Democratic Republic,120,GDP Deflator,"Value US$, 2015 prices",11.3684,11.9446,12.461,13.1438,14.3266,15.6536,16.5151,17.5412,18.7751,20.3328,22.1694,24.2671,25.7664,26.7756,27.7416,28.6189,29.1953,29.9171,30.9724,32.1867,33.3915,38.0329,41.3273,44.0608,47.4275,50.8283,50.1246,43.6969,30.9221,32.6158,36.7351,35.1436,34.3168,37.0109,40.798,43.6918,53.962,57.8409,67.3053,66.1604,73.8782,81.7343,88.3129,95.7962,98.9058,100,102.627,102.3721,102.6449, -Latvia,119,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,39.1473,40.4712,41.3935,42.3742,43.279,44.1865,47.5783,47.7619,49.3021,50.4398,50.4139,49.8072,53.1685,60.3579,68.1742,72.5099,82.1604,107.6502,128.521,110.3401,104.7304,117.9384,112.0076,117.6016,119.6235,100,100.5934,105.7952,114.9951, -Lebanon,121,GDP Deflator,"Value US$, 2015 prices",9.0967,9.3586,10.4082,12.9631,16.2625,21.7475,22.1605,22.6326,26.0126,27.4579,31.4497,29.8962,32.2563,27.856,13.5423,9.3797,12.4186,8.2588,18.3457,26.149,21.377,22.8373,28.77,37.0865,40.6535,46.8908,52.8426,61.8653,64.7552,65.4304,63.3084,62.3621,66.123,67.7875,68.3464,67.6017,68.1991,70.3638,75.6812,83.4715,83.6695,86.4824,92.9213,95.9458,97.0438,100,100.9115,104.5778,110.2088, -Lesotho,122,GDP Deflator,"Value US$, 2015 prices",24.9433,26.4188,26.2756,31.5395,33.909,38.4368,32.5677,36.2461,41.7532,50.9796,68.9658,69.3621,61.4475,68.6282,58.8926,43.1233,47.2374,60.1948,62.5096,61.0127,66.8874,71.5342,82.1324,78.786,78.0693,83.5208,76.1905,76.6655,70.6853,68.6522,62.8291,55.21,51.0582,71.97,89.5982,96.7211,96.8265,103.3621,99.4894,97.1441,117.1039,128.0037,116.0172,107.4325,107.8326,100,90.2894,101.9387,102.7781, -Liberia,123,GDP Deflator,"Value US$, 2015 prices",24.7727,24.8638,26.008,29.281,34.6439,43.3172,42.829,47.433,49.1389,54.0289,59.2901,70.9569,72.3128,74.3612,73.7406,74.2129,73.8105,76.165,78.7481,78.9468,78.8147,83.1847,82.3003,88.1239,92.8336,98.8777,104.2819,85.7409,80.3798,79.5953,64.7935,62.2595,64.5996,71.2501,84.5033,88.0312,89.5518,75.7978,81.349,79.164,82.5294,90.7978,91.9757,98.1742,98.9613,100,104.8508,102.5629,100.1999, -Libya,124,GDP Deflator,"Value US$, 2015 prices",7.7442,10.0284,11.0053,14.7835,21.1964,19.8342,20.9533,22.6072,21.5976,27.3456,36.605,39.6641,37.8988,37.6163,36.0509,34.3749,31.554,34.4414,36.1399,35.6883,39.5338,37.834,41.1925,38.7272,35.4526,33.3355,36.0903,36.3962,33.9883,37.959,42.418,37.3652,24.3425,25.8002,31.3493,38.8052,44.0638,47.7103,63.3099,46.0619,51.916,67.2121,74.5538,101.3315,104.3339,100,103.3569,103.3315,119.9599, -Liechtenstein,125,GDP Deflator,"Value US$, 2015 prices",6.7576,7.7378,9.0656,11.9855,14.1892,16.067,17.3012,19.2673,25.5584,29.2798,30.525,25.8577,27.1629,27.4173,26.1412,26.2375,37.346,43.0558,46.6496,43.0389,53.4224,54.7901,58.1203,57.1383,62.2567,73.3019,70.6985,60.5203,60.5917,58.9595,53.2562,53.8204,58.6544,68.3157,74.5823,75.3485,75.6169,79.5745,90.3264,89.4701,93.9916,110.643,104.0591,105.0476,106.2524,100,97.2342,97.8256,99.4266, -Lithuania,126,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,33.1434,34.2643,35.0451,35.8754,36.6415,37.4098,44.5109,49.6077,51.2697,50.6241,51.2723,51.1072,55.7733,66.4581,75.1235,80.4958,86.6051,102.5385,120.4429,110.5212,107.7292,119.2525,113.2023,118.4966,119.6176,100,101.3465,107.9032,116.5454, -Luxembourg,256,GDP Deflator,"Value US$, 2015 prices",13.3245,13.5217,15.8823,20.1237,23.556,24.7341,26.4426,28.8144,34.4775,39.3866,42.6184,35.9754,32.3951,30.9217,28.5679,28.6607,38.0639,45.5739,47.5599,46.1632,55.8004,55.6024,61.2616,60.3287,64.5943,75.0169,74.6329,63.9731,61.785,62.6663,55.3655,54.0205,57.7695,71.1371,80.5751,84.0858,90.7896,100.5294,111.7709,107.4816,106.1767,116.7644,110.6811,116.3145,119.4064,100,100.5058,104.4055,111.8858, -Madagascar,129,GDP Deflator,"Value US$, 2015 prices",19.0558,19.7639,22.879,28.8108,32.243,37.9122,37.3788,39.4791,45.8848,54.2095,62.7594,61.0968,61.0463,60.3145,49.6341,48.4588,66.0422,51.3974,47.3195,46.4979,55.588,51.5005,57.042,62.2694,55.0341,57.4312,71.0821,60.8419,61.7299,58.69,58.3901,64.3525,71.5208,81.0972,61.4224,67.7973,70.662,88.5523,104.4027,97.4935,100.5794,114.5801,111.4923,116.9347,114.0616,100,100.6238,107.6644,108.2338, -Malawi,130,GDP Deflator,"Value US$, 2015 prices",51.1301,56.2301,58.3223,54.9781,63.1837,66.9216,68.8678,79.3921,86.2717,89.6008,99.5622,111.6306,104.0039,104.0459,98.043,87.9894,90.3396,95.2905,102.837,118.7038,120.7708,129.4298,126.2295,125.3071,83.7392,89.0245,97.6195,99.3028,100.4205,99.0219,95.7019,98.9656,108.6528,94.3654,96.9655,98.7461,103.1394,104.3425,116.3566,124.9757,131.4533,144.2318,103.6881,90.2305,95.7844,100,80.4064,91.3532,99.5681, -Malaysia,131,GDP Deflator,"Value US$, 2015 prices",22.6491,20.2372,21.9827,29.9019,34.2099,33.341,35.3986,39.0628,45.5974,54.0755,58.0988,55.4723,56.1135,59.8122,62.08,57.683,50.7165,55.8387,56.2525,56.7459,58.9925,60.103,66.4516,68.384,69.7179,75.7087,78.1347,72.3122,56.2426,58.1098,63.2556,62.2549,64.2028,66.3208,70.3062,76.7981,82.4441,92.2691,104.9613,93.3898,109.6126,121.6277,121.6986,119.508,117.8939,100,95.7083,95.8291,102.857, -Maldives,132,GDP Deflator,"Value US$, 2015 prices",22.2584,23.5848,26.8762,32.5053,38.9286,26.5188,24.0675,20.1591,20.5362,29.3372,27.2674,25.7968,33.8004,30.366,27.5629,26.8919,27.4271,25.0754,27.5222,28.3295,27.6522,29.1927,32.0234,34.1417,35.3528,40.2335,42.1078,43.8345,43.3353,44.529,45.4334,47.3462,45.4419,46.0198,50.608,55.2428,59.3119,65.3131,72.5303,80.7166,83.0426,81.992,83.202,88.5414,92.568,100,100.2117,101.4742,106.79, -Mali,133,GDP Deflator,"Value US$, 2015 prices",54.173,63.1401,67.4933,79.3365,75.6111,100.8406,105.1076,115.0139,135.2783,154.938,188.7999,166.9439,137.9508,127.8531,124.8013,125.5603,157.7787,191.1601,197.2416,184.0141,217.5036,208.8745,218.8677,206.7012,141.0285,130.5394,120.4953,98.6254,105.5963,97.9517,80.3508,82.2027,85.4919,91.5227,112.8864,117.3208,115.2051,125.5809,137.2273,128.2203,121.3041,136.82,117.9475,117.3295,118.2411,100,98.6091,101.0532,105.7943, -Malta,134,GDP Deflator,"Value US$, 2015 prices",24.4284,25.1603,26.5154,29.8174,29.4863,31.1241,29.5859,31.2495,35.6665,40.7241,47.4992,45.7306,44.3844,42.171,39.4864,39.0499,48.2577,56.5676,60.1682,58.3498,66.0034,67.0644,70.3887,60.3977,63.2719,70.9323,70.3627,66.3235,66.4218,65.3102,60.5659,60.3941,64.4238,76.1665,84.6268,86.2519,89.8674,101.0421,110.6797,107.7885,106.6988,114.4559,108.0713,113.9243,116.6453,100,101.1419,105.8726,113.1121, -Marshall Islands,127,GDP Deflator,"Value US$, 2015 prices",20.7075,21.9449,23.7505,20.6394,23.4634,25.7203,27.873,30.2942,31.5185,35.4948,39.9914,43.6349,46.8545,48.4991,50.4914,52.3529,53.6374,55.1716,57.4462,60.179,63.1818,66.3685,68.3696,70.443,72.2924,74.3218,76.4001,76.6951,80.7439,82.1593,79.7021,78.5426,82.9326,84.2103,87.0296,88.7853,91.3062,92.3379,95.1759,96.6444,98.1099,101.225,104.3129,104.5808,101.3949,100,107.1063,107.5902,108.1651, -Mauritania,136,GDP Deflator,"Value US$, 2015 prices",29.7742,31.7086,36.9961,42.2937,49.427,58.3504,61.296,63.0203,67.0237,75.9075,92.968,96.537,96.2252,95.4349,84.8292,76.9428,85.4558,94.6486,98.3561,96.7808,102.3262,106.6665,105.765,83.1449,84.0584,90.7232,83.0135,84.0745,71.3278,65.238,60.2991,59.1978,60.118,66.9484,76.5156,81.1945,88.5544,100.514,116.0655,102.9526,115.524,125.476,118.3039,118.0306,110.4898,100,99.1881,102.9828,107.2448, -Mauritius,137,GDP Deflator,"Value US$, 2015 prices",16.3446,17.5962,20.4234,22.8829,35.1977,34.9386,35.5342,39.0163,46.3244,53.3789,55.4619,52.8712,47.3093,47.6473,43.4019,41.9976,52.0242,59.0973,62.5538,61.1771,68.9727,70.9539,77.8178,74.9415,78.5018,85.2238,88.671,79.3586,74.4987,74.7187,74.1351,70.9695,73.2287,83.1265,90.1178,87.3306,86.3951,94.7516,110.2083,97.4733,102.3349,113.2141,110.8169,111.4496,113.394,100,100.7532,105.1987,108.7202, -Mexico,138,GDP Deflator,"Value US$, 2015 prices",16.6513,17.6302,18.7287,21.1356,25.9386,30.0294,29.0934,25.9255,30.013,36.0244,46.0687,54.3445,38.0369,34.0609,38.7812,39.6453,28.9008,30.7459,37.1885,43.4531,48.7259,55.9598,62.4422,72.7309,73.0542,53.1835,56.8509,64.7879,64.8177,71.9149,80.8213,86.7427,88.5441,82.4463,85.0911,93.2974,99.246,104.7133,109.1637,93.4566,104.4891,112.4876,110.429,115.6074,115.9944,100,89.4638,94.1878,97.5415, -Micronesia (Federated States of),145,GDP Deflator,"Value US$, 2015 prices",20.6711,22.1338,25.2358,26.1394,30.0036,29.9969,30.3402,29.9331,32.1392,35.3516,40.5678,44.0496,47.3548,48.8112,51.1617,52.842,53.8716,55.1281,57.546,60.0524,63.0808,66.3453,68.5525,70.1359,71.6303,71.3361,72.6001,73.0701,75.3359,74.6254,75.408,76.3112,76.3334,76.0269,76.8328,78.4363,79.5508,82.1448,86.0933,90.6083,94.037,95.2591,102.11,102.9539,105.874,100,104.4396,111.6168,112.7176, -Monaco,140,GDP Deflator,"Value US$, 2015 prices",16.7118,17.7414,20.8118,25.4318,26.3283,33.5953,33.2197,35.3841,42.0275,49.1827,55.3073,48.0327,44.5236,42.101,39.313,40.322,54.9618,64.9094,67.5981,65.1961,78.4292,77.6379,84.3925,80.1811,82.5527,92.8765,91.8635,81.2232,81.1233,77.9017,68.4072,67.7709,72.7527,88.8812,99.3931,101.4777,104.5576,117.026,128.4318,118.3822,118.0742,120.8653,113.0111,117.692,118.2796,100,99.8885,102.859,108.3763, -Mongolia,141,GDP Deflator,"Value US$, 2015 prices",15.0697,15.8336,16.518,17.4232,18.9911,20.7501,21.8921,23.2523,24.8879,26.9527,29.3873,32.168,34.1554,35.4932,36.7737,37.9367,38.7007,39.6576,41.0565,42.666,44.2631,45.76,46.8028,47.9117,48.9348,49.9609,46.5806,40.0408,35.6712,32.2689,34.1522,36.998,38.9075,41.5348,46.8831,55.3738,69.0114,77.6486,94.6751,78.1675,99.4086,122.7171,129.0196,118.2781,106.535,100,93.3369,90.6466,96.6515, -Montenegro,273,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,60.1178,55.0608,60.7805,53.0094,53.886,67.7116,38.1732,34.686,33.6533,35.7513,36.99,43.1862,46.8166,60.8151,70.8444,74.0297,81.4448,103.1122,118.7758,115.3553,111.7418,118.6966,109.9023,115.9173,117.0282,100,104.8249,111.15,119.9431, -Montserrat,142,GDP Deflator,"Value US$, 2015 prices",13.2708,14.9779,17.0581,18.4844,19.4753,21.0589,18.6778,20.8546,22.0644,24.3065,32.9731,37.2483,39.1494,44.1937,45.6668,45.0751,46.6047,48.6549,50.4427,54.9418,60.8906,55.8636,58.3615,59.7064,61.408,63.4148,68.5553,70.5245,76.266,77.6663,77.3381,77.5668,84.0505,86.7227,88.4017,95.0217,101.0559,102.5593,104.2371,108.3664,104.2055,113.3838,109.1004,97.1717,94.1974,100,101.8302,99.9752,102.371, -Morocco,143,GDP Deflator,"Value US$, 2015 prices",29.788,30.6274,35.3933,41.9395,48.855,53.1694,51.1926,55.6477,65.1941,74.7812,84.8685,70.8611,65.2548,59.3111,51.9951,49.3631,60.1236,68.0444,72.6681,73.3745,79.8346,80.4647,85.6957,81.5546,83.6892,97.3546,96.3649,89.8866,89.4832,88.3721,81.0493,76.789,79.6298,92.327,100.6957,102.2062,104.5922,116.7042,128.9488,118.8374,114.6952,117.3657,111.2149,115.2315,114.1629,100,98.9307,99.32,102.947, -Mozambique,144,GDP Deflator,"Value US$, 2015 prices",216.1131,223.8469,238.9448,268.9601,264.6958,268.463,231.4716,234.7165,242.661,247.5145,233.7629,222.3963,242.7471,259.8816,286.0474,415.8726,496.6012,168.1504,137.0411,139.0538,151.135,133.3958,100.7726,96.8404,93.7305,93.9548,101.4906,109.8418,113.2016,114.2366,106.2894,89.6038,86.9326,90.8058,102.802,106.9017,104.727,109.8566,126.142,112.5915,98.2086,118.5614,125.674,121.9726,118.5332,100,72.079,76.942,82.8201, -Myanmar,28,GDP Deflator,"Value US$, 2015 prices",64.1459,63.634,58.6762,75.1864,87.4454,77.7012,81.8323,79.6786,83.73,91.7105,93.5484,88.5022,85.8382,84.7862,83.3318,82.9242,63.3168,64.8823,67.1709,69.8043,72.4173,74.8663,76.5724,78.3866,80.0605,81.7392,83.2359,84.6711,52.8657,52.8751,51.4317,48.4684,58.7674,49.4095,44.9498,46.0524,47.2837,55.5743,71.504,82.3614,94.0861,124.4564,122.214,114.7963,113.4187,100,97.553,94.066,96.9061, -Namibia,147,GDP Deflator,"Value US$, 2015 prices",24.388,25.8906,25.4321,31.0162,35.3681,36.8915,34.9033,38.7898,43.4512,51.7205,69.1095,63.4941,60.0375,66.2953,56.4299,46.3059,49.7107,61.0316,65.683,65.5222,70.6548,70.1722,74.9178,71.5351,79.4561,82.906,80.3991,80.221,72.4371,69.9374,67.8431,60.8006,54.6706,77.045,92.4199,99.0548,101.7818,107.7593,101.9246,106.2881,127.4036,133.346,133.1275,123.1595,116.4257,100,95.7957,116.1564,124.404, -Nauru,148,GDP Deflator,"Value US$, 2015 prices",8.2336,8.7775,10.0508,12.6482,15.9904,15.6183,16.3252,16.8159,18.7524,19.9091,22.4811,24.6678,24.1176,23.8044,24.1097,20.4483,21.2292,24.2959,29.0469,31.6242,35.1514,40.1344,44.8855,46.1792,47.8788,49.4014,54.2671,54.6183,48.0494,52.6679,49.9626,46.9737,52.2481,65.8689,78.8978,85.4125,102.8075,93.2354,85.6934,136.7098,131.5684,174.7039,217.5987,158.9532,130.8606,100,104.5855,111.6679,110.1667, -Nepal,149,GDP Deflator,"Value US$, 2015 prices",29.0753,29.997,33.7482,31.5233,37.7685,41.2903,36.5423,35.2395,39.7819,44.1538,47.5142,49.8511,50.8125,51.955,48.8394,49.0881,48.2695,52.9195,55.4366,52.8326,54.1509,46.7131,48.598,47.1765,49.8499,50.4452,49.7803,52.0859,47.7122,50.1949,50.3745,49.0262,49.04,51.6975,55.6553,60.9695,64.208,75.6859,76.1044,79.3283,96.7189,106.0784,98.2773,95.9598,98.0419,100,100.2805,112.9973,115.2308, -Netherlands,150,GDP Deflator,"Value US$, 2015 prices",13.9136,15.5775,18.6486,23.2883,26.4173,31.0701,32.3505,37.0782,44.3178,49.7466,52.3328,44.362,43.3712,41.1401,37.4384,36.481,49.5605,59.3141,61.2862,57.8903,68.4729,68.7672,74.9406,72.086,75.0812,86.8599,83.5873,74.128,74.4321,72.2993,64.6611,65.4314,71.4105,87.4956,97.4186,99.5098,102.9519,114.6502,125.5352,119.316,114.823,120.7532,113.2228,118.4989,118.7088,100,100.1906,103.6118,110.7058, -Netherlands Antilles (former),151,GDP Deflator,"Value US$, 2015 prices",15.2451,15.5874,16.9691,18.3415,21.9072,25.3447,26.6792,22.0722,25.175,28.4332,28.9877,32.9944,35.9477,35.9637,37.0028,38.5176,52.8818,54.6235,55.7946,58.1039,60.3556,62.1717,63.1531,64.36,65.5826,66.5974,68.7638,70.0881,73.1301,73.9716,77.3347,77.3954,78.0167,78.9517,80.1839,78.0086,80.3324,81.8552,87.0194,88.1381,91.2103,91.5856,94.6377,,,,,,, -New Caledonia,153,GDP Deflator,"Value US$, 2015 prices",15.6321,16.8692,19.025,22.8994,24.0228,28.6164,27.3449,28.1563,25.9,37.1068,42.067,37.2829,33.793,31.4048,29.8089,30.6306,43.4815,50.9566,52.7324,50.0807,55.9586,55.967,61.3443,58.9017,61.8167,69.6745,68.9519,66.3984,68.8491,67.6193,61.7199,58.4401,64.4145,80.9785,93.5147,95.6601,101.1944,122.6293,124.991,117.2519,118.3163,125.1939,114.9124,118.4761,121.7985,100,100.4991,103.8945,109.9751, -New Zealand,156,GDP Deflator,"Value US$, 2015 prices",10.9679,12.9115,14.9435,18.2367,19.3143,19.0515,18.9851,21.6138,26.1656,29.1128,31.9842,32.9369,32.5072,31.167,28.6171,28.3503,34.6841,46.0166,54.2794,52.0855,52.6838,51.6697,48.9603,49.87,55.6251,62.7109,66.7658,64.6383,52.7696,52.5693,46.6941,44.7095,49.1713,63.128,74.6324,80.8902,76.7241,90.9743,89.6829,80.1155,95.8602,107.2758,109.4629,116.1449,117.9707,100,102.2081,107.2433,105.5674, -Nicaragua,157,GDP Deflator,"Value US$, 2015 prices",19.8006,20.0851,20.7439,24.5064,30.2399,30.9426,34.2251,39.0324,40.187,39.1189,44.9682,49.2277,52.2665,54.3149,56.2724,58.053,59.3306,60.6993,62.8274,65.2904,67.7345,69.751,73.6791,78.9137,71.1006,71.8322,70.4271,69.0275,70.2773,68.7834,69.5235,70.7244,68.516,68.0915,70.3752,73.6407,75.9058,79.2846,87.7366,88.6069,89.5674,94.0157,95.1243,94.5393,97.5941,100,99.6048,99.1487,97.6781, -Niger,158,GDP Deflator,"Value US$, 2015 prices",16.1026,16.3286,21.5901,27.7417,29.2898,38.3756,45.1085,49.4274,58.9717,72.0529,89.7648,77.8144,69.7997,65.4918,63.7982,58.3867,76.9265,90.2372,88.4086,83.1119,99.4278,94.0274,97.4848,88.6716,53.4108,62.5515,63.7257,58.3912,59.1919,57.6587,51.6381,52.2999,56.6504,67.4583,74.6214,80.7843,82.6685,94.1425,108.3638,109.0156,106.5882,116.7988,113.1095,118.6814,118.4577,100,100.7709,104.2075,111.7798, -Nigeria,159,GDP Deflator,"Value US$, 2015 prices",33.7579,34.2816,38.8943,42.1152,61.5432,77.7185,88.514,95.1285,109.3193,136.0376,172.6454,161.1247,169.6619,188.5954,188.3095,172.6882,92.7333,48.482,51.5744,40.9761,40.0463,38.6122,32.4604,36.0439,31.8846,32.5531,33.1492,33.7208,34.1003,34.5927,38.5307,38.7779,43.3231,44.3884,52.819,64.0863,80.9984,88.7098,101.6016,81.4437,93.8735,100.6661,108.1236,113.6274,117.9943,100,83.1609,76.6018,84.3626, -The former Yugoslav Republic of Macedonia,154,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,43.2109,44.6722,45.6902,50.0434,61.2388,81.8916,79.8145,66.3248,61.7423,60.7128,56.7068,57.521,61.3907,73.9244,81.139,85.3297,88.975,101.5333,114.4306,108.9574,105.4776,114.9804,107.2594,115.6796,117.2471,100,103.1038,108.0654,116.8461, -Norway,162,GDP Deflator,"Value US$, 2015 prices",12.415,13.3704,15.1096,18.7641,21.7508,25.1005,25.9297,28.7489,31.0224,33.9451,39.3714,38.2453,37.5858,35.5614,33.7663,33.721,38.9885,45.8824,49.7439,49.587,56.7791,56.0368,58.0834,52.048,52.2359,59.9742,61.4185,57.5639,53.5913,55.3014,56.5429,56.2757,62.3454,72.3159,80.3905,91.4751,99.9439,112.5833,129.1838,109.8237,121.0796,139.346,138.7344,140.8868,131.7295,100,94.5848,99.8494,107.4297, -Oman,221,GDP Deflator,"Value US$, 2015 prices",6.9907,8.1298,9.0681,13.8821,36.8832,36.5385,38.4708,35.0123,29.7612,38.8749,58.6443,60.2935,56.8265,53.2084,51.4812,49.9408,38.7043,42.2679,39.0344,42.3598,48.7306,44.6037,45.1332,42.6669,42.484,43.3005,46.5791,45.4769,40.2573,44.701,52.4829,50.0884,52.4444,57.8706,65.3984,80.0899,91.0062,98.5271,131.781,98.6669,114.0938,132.5405,137.0162,133.8451,109.7824,100,107.4432,118.5605,134.9395, -Pakistan,165,GDP Deflator,"Value US$, 2015 prices",38.6498,40.4827,23.5599,23.7097,29.6664,36.267,40.651,44.9862,49.0479,51.7304,57.1766,63.524,58.0567,55.2034,56.5274,52.1089,51.4993,51.5019,54.5595,51.9231,52.3045,53.9349,56.3255,54.6275,56.7153,62.3879,59.2989,59.0043,57.9027,55.7816,52.8739,49.4199,52.5053,56.7079,60.5721,63.459,69.2167,73.6807,71.9544,74.8128,79.5417,93.9003,91.9917,90.4277,97.6379,100,98.4838,101.7573,89.91, -Palau,180,GDP Deflator,"Value US$, 2015 prices",7.0586,7.747,8.4799,9.2968,10.2059,11.216,12.3374,13.3244,14.7235,16.2695,17.9777,19.8654,21.9513,23.7074,25.604,27.6523,29.8645,32.2536,34.8339,37.6206,40.6303,42.6618,44.7949,47.0235,46.3876,48.2836,52.1744,54.2387,55.0644,55.2406,61.1848,64.1352,62.5116,61.0089,66.4357,70.5197,73.3597,74.5326,80.3179,79.3395,79.1668,79.4617,85.2801,91.5374,95.459,100,106.1979,105.0075,102.4076, -Palestine,299,GDP Deflator,"Value US$, 2015 prices",15.778,15.8963,19.7268,25.5931,32.8465,32.6074,33.237,34.575,31.8577,37.6038,41.6508,41.0222,40.1529,43.3162,40.5765,38.1291,51.2974,58.0983,62.1735,57.7852,52.7296,59.3399,59.0682,57.5372,54.0961,58.3073,59.8324,57.5385,54.4474,52.798,58.3114,59.6786,60.5665,59.2791,58.6128,58.6458,61.8086,64.757,75.7711,77.175,87.3592,92.094,94.735,100.1712,103.8497,100,101.278,104.5421,104.2289, -Panama,166,GDP Deflator,"Value US$, 2015 prices",19.6519,20.2305,21.2489,23.0581,25.7282,28.3631,29.6389,31.0786,33.557,36.7597,40.6596,42.0369,42.8573,45.7239,47.3196,48.021,48.569,48.6171,48.3504,47.7337,48.0035,48.24,50.6815,52.4831,54.4143,54.6683,54.8216,55.7014,56.256,56.7333,56.0221,56.6001,57.5455,58.1964,59.34,60.3774,61.6492,67.2493,72.3114,76.9907,78.9849,83.6008,88.7638,93.6501,97.5811,100,102.0773,104.1544,104.9305, -Papua New Guinea,168,GDP Deflator,"Value US$, 2015 prices",18.9266,20.3281,23.0296,34.0902,37.7846,35.0609,38.8695,44.8589,50.2061,56.7359,64.4516,63.427,59.6397,57.4594,57.4431,52.4358,54.7328,63.2299,71.4452,70.3096,65.8301,70.6905,70.3388,67.6358,68.2737,64.2347,64.1277,65.4439,47.7867,42.8118,44.7234,39.2257,38.2033,44.6192,49.8686,55.9051,62.0806,64.2123,78.7451,73.4074,81.7513,102.0436,115.44970000000001,111.0184,107.1082,100,94.1681,97.9134,102.679, -Paraguay,169,GDP Deflator,"Value US$, 2015 prices",14.233,15.0498,16.322,19.6549,24.2645,25.6552,26.8884,29.8478,32.7976,39.3121,45.9236,53.4141,56.1027,64.2,51.087,41.9371,49.8813,40.0926,50.1754,34.2887,40.132,46.4869,47.1071,48.2404,53.4593,58.9169,63.6755,62.6672,55.5845,52.0463,52.3211,46.5756,39.7331,39.6708,46.4903,49.4897,57.5539,70.7408,91.5445,83.4536,91.5231,108.6667,107.8542,115.3279,114.8023,100,95.5748,98.5219,97.8861, -Peru,170,GDP Deflator,"Value US$, 2015 prices",12.6851,13.5297,14.4938,16.3082,18.7979,22.0098,20.6936,18.5891,16.3918,20.1147,25.2582,29.2297,29.8017,25.8138,26.119,22.0944,30.0234,44.8198,43.2294,55.4292,48.877,56.4133,59.2454,54.3463,62.3865,69.4064,69.9241,69.0801,66.1864,59.0001,59.2128,59.1969,59.0985,60.8223,65.8779,70.6136,76.5263,81.2918,87.9118,87.1309,98.1833,107.5094,113.6086,112.0769,109.3633,100,97.286,104.1949,105.6892, -Philippines,171,GDP Deflator,"Value US$, 2015 prices",14.9681,15.7211,16.1331,18.6289,24.586,25.171,26.5568,28.8992,31.7546,36.4073,40.8546,43.3932,43.6321,38.2995,39.0818,41.2574,38.7703,41.3086,44.1621,46.7291,47.2014,48.6608,56.5685,56.8516,64.1951,70.9291,74.9018,70.7774,56.3417,62.8234,58.7415,53.7328,55.3067,54.3397,55.4584,59.7074,67.2676,77.109,86.3449,82.4926,90.8741,98.4496,102.9652,104.5332,103.0998,100,97.4337,93.9474,93.3015, -Poland,173,GDP Deflator,"Value US$, 2015 prices",22.3161,23.0026,24.2957,27.6053,28.9182,29.0638,30.0228,31.0945,33.4104,36.0151,29.5119,31.0667,39.6304,43.4262,41.1629,36.9506,36.906,31.3031,32.3717,38.6109,33.9098,47.2905,50.8813,50.0021,54.7049,65.6017,69.6037,65.0432,68.1409,63.3738,61.3851,67.2012,68.6766,72.601,80.9867,93.9057,99.5997,115.808,138.2082,110.7433,116.4957,122.3863,113.9652,117.7645,118.5807,100,95.9012,101.9085,107.8351, -Portugal,174,GDP Deflator,"Value US$, 2015 prices",12.2008,12.989,14.6791,17.7324,20.3369,23.5039,23.1012,23.0606,24.5794,26.3651,31.1511,29.8003,27.8532,24.8984,23.491,24.5681,33.709,39.4055,42.8706,43.3146,54.1317,58.7967,70.1301,63.2199,65.6992,74.6465,74.8763,68.4373,69.1644,68.4283,61.199,61.6494,67.5546,83.7894,94.3942,97.6913,101.6849,114.2312,124.3812,119.2543,114.4246,119.7832,110.2825,116.5255,117.2576,100,101.4493,105.1737,111.6811, -Puerto Rico,177,GDP Deflator,"Value US$, 2015 prices",15.7524,16.6102,17.3355,18.0991,19.8538,21.7291,22.5812,23.4225,24.7522,26.641,29.711,32.4908,35.2045,36.1158,37.326,38.7252,38.7626,40.1591,41.3323,42.531,44.3704,45.7595,46.9378,47.8231,49.3434,50.712,52.6943,53.3954,56.7905,57.6304,59.5301,62.8058,64.4075,67.2562,69.0977,73.6513,77.6968,80.6356,85.9269,90.2083,92.4582,94.6493,95.7654,96.8973,98.0607,100,102.2209,104.9244,107.0357, -Qatar,179,GDP Deflator,"Value US$, 2015 prices",5.7448,6.9141,8.9855,11.8352,14.383,17.336,20.7739,24.53,25.2442,34.3702,48.3151,52.9826,49.9316,43.3332,43.8657,40.1386,31.2917,33.7128,35.2919,35.6992,39.163,37.2445,37.1604,35.2482,35.8131,38.5948,41.1643,39.4852,32.227,37.3444,49.5391,47.086,48.5026,56.8337,64.2832,83.9175,90.9334,100.9085,124.0168,93.9824,103.0055,122.2063,129.9951,132.4302,132.1672,100,91.8548,99.4827,112.3659, -Republic of Korea,117,GDP Deflator,"Value US$, 2015 prices",14.0242,13.9534,14.2758,15.8721,20.4087,21.0796,25.5683,29.2615,35.6903,42.3046,42.0105,43.6869,43.331,42.8159,43.0321,41.4566,42.9467,48.2986,58.1733,67.2015,70.1988,74.1751,75.0763,77.5422,83.7438,93.2921,93.2504,82.0617,58.2749,67.8836,72.132,65.3883,69.5206,75.5086,81.018,91.5499,97.9781,103.1056,89.3969,79.9377,90.7124,95.8352,95.4689,99.2264,104.1098,100,99.4131,104.3206,107.6564, -Republic of Moldova,146,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,42.386,43.8194,44.818,45.8799,46.8596,47.8422,48.7182,54.583,51.436,36.7202,39.5418,42.8208,44.5805,49.822,60.8698,65.1311,70.8921,88.8784,113.386,108.3525,108.0979,123.2351,128.3092,128.3083,122.3723,100,99.8114,114.2178,129.9703, -Romania,183,GDP Deflator,"Value US$, 2015 prices",29.0569,30.5298,31.8495,33.5948,31.3283,30.5912,30.9438,30.8509,33.9014,34.4044,34.0065,41.2114,46.2396,40.2353,32.5399,40.5006,43.0857,47.7825,49.6527,46.9544,35.4849,30.7431,22.8663,30.3247,33.2859,36.6516,34.8155,35.2811,42.1808,36.4957,36.8551,38.0942,40.8688,51.777,59.6925,73.6691,84.5191,112.7704,126.6444,108.8884,108.1823,117.0386,107.0026,115.296,116.5615,100,101.1047,106.0103,115.3969, -Russian Federation,185,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,48.9852,50.6418,51.7959,53.023,54.1553,55.2908,56.3032,57.3564,40.5453,27.5649,33.2073,37.3046,40.1302,46.7114,59.8481,72.7386,87.142,105.4135,127.9877,102.213,121.9888,155.8881,162.0153,165.4296,147.5838,100,93.7605,113.5383,116.5864, -Rwanda,184,GDP Deflator,"Value US$, 2015 prices",18.8992,22.4465,25.1917,30.2226,39.3289,48.3986,45.1658,50.2774,55.5344,62.1898,64.5626,68.666,67.4544,66.9256,74.9776,77.6153,83.5166,93.2627,100.5695,99.3286,98.8209,76.3482,75.6263,80.1536,96.4029,77.798,73.2924,86.2317,84.8877,75.273,66.2999,58.9993,52.1795,56.2381,59.1827,66.8782,74.7625,84.2961,96.3699,100.3724,100.3584,105.6303,108.6639,107.8952,105.4351,100,96.6053,98.1498,94.0562, -Saint Kitts and Nevis,188,GDP Deflator,"Value US$, 2015 prices",17.278,19.5207,21.8138,22.1029,27.2813,28.1511,22.4155,21.8428,23.3532,25.8346,27.7183,32.252,34.1119,34.0457,35.4955,36.8131,39.0943,41.4815,44.3897,46.915,50.4819,52.2181,54.9843,56.0789,59.5963,60.0632,60.4511,63.4224,65.1983,67.0109,63.1572,65.2619,67.531,68.6578,71.2937,70.1361,80.0732,85.1373,87.4369,90.7167,92.7749,98.0112,98.1185,97.6844,100.3126,100,102.3091,107.1433,105.5486, -Saint Lucia,189,GDP Deflator,"Value US$, 2015 prices",11.3943,12.4074,13.8578,15.366,19.7417,21.9287,18.9753,19.4246,21.1514,24.9802,31.0604,34.6829,36.4312,37.4073,38.6036,39.9013,41.4196,44.1528,44.0388,46.4343,49.1639,52.5934,54.4544,54.3358,55.6423,58.6352,58.2976,59.6116,61.5204,63.332,64.2422,62.954,63.2801,65.5865,66.6365,71.6202,74.8848,82.7486,79.2623,79.9855,87.1923,86.4637,86.4218,90.844,94.1905,100,99.4323,103.5202,108.5794, -Saint Vincent and the Grenadines,191,GDP Deflator,"Value US$, 2015 prices",11.0578,11.6715,12.7605,15.6961,18.7888,20.5297,18.0618,20.1256,23.1904,26.0514,28.4995,33.4519,37.1128,40.7202,41.577,43.0129,45.9335,51.0853,51.7035,55.2456,59.1224,62.6106,64.7121,64.6884,67.3667,68.0383,70.6209,71.8482,73.9116,73.7272,73.5484,78.4767,79.2759,76.7908,79.8731,82.2265,84.7032,91.8265,91.8445,91.0475,95.0865,94.7725,95.8036,97.9176,97.6166,100,100.6101,101.8966,102.1466, -Samoa,244,GDP Deflator,"Value US$, 2015 prices",12.6004,13.1946,15.1216,18.6517,23.5941,24.5118,20.3869,23.7588,24.6179,24.6612,26.9626,27.8664,28.8726,26.5293,25.5693,21.5344,21.5591,23.7438,28.6646,25.5352,27.3571,27.943,29.5163,28.5264,48.9065,45.5996,47.7391,51.2606,46.9829,46.4755,43.68,41.8892,44.7932,51.624,59.1718,63.565,65.5645,88.2001,91.9384,85.0135,93.4204,102.4176,105.963,106.3492,105.9048,100,100.7047,101.7137,102.1443, -San Marino,192,GDP Deflator,"Value US$, 2015 prices",14.4296,15.5811,17.507,19.7446,21.2835,24.8026,22.8497,25.536,30.2533,35.6761,41.8147,37.4221,36.9699,37.8911,36.281,36.4467,50.1768,61.1844,64.9748,65.4579,81.2569,84.3897,88.6897,72.4158,73.4102,76.5404,84.0365,75.5038,75.3449,73.1065,64.8826,64.7159,69.6801,85.5788,95.9701,97.9234,100.7041,111.7824,121.6498,119.7607,113.7238,120.5958,114.3189,122.1031,121.933,100,100.937,104.5225,110.7262, -Sao Tome and Principe,193,GDP Deflator,"Value US$, 2015 prices",40.5836,38.5931,41.919,55.7838,54.4859,53.7478,45.7872,35.0807,38.1369,39.1584,49.1625,56.0493,52.2897,50.8765,56.3786,54.562,81.1895,83.6576,70.0273,67.586,83.6192,74.4386,65.2454,85.5438,87.4275,67.6729,86.9218,58.5188,44.8964,46.8413,45.9663,44.4548,48.9055,54.3467,57.2397,64.0163,62.5025,65.6598,82.9865,78.6881,79.0879,89.5966,94.2831,107.9504,113.5208,100,104.7241,108.3728,119.3276, -Saudi Arabia,194,GDP Deflator,"Value US$, 2015 prices",4.3182,4.7876,5.2386,6.5252,17.0568,19.29,22.4043,24.2487,27.68,34.4663,47.9863,52.7223,55.3035,55.5346,53.9439,51.9344,37.1176,39.1576,35.6535,38.7118,41.4609,40.5229,40.4027,39.7303,40.1654,42.5022,45.8357,47.4214,40.8138,46.7271,51.8428,50.9891,54.0264,55.278,61.3898,73.817,82.4052,89.2968,105.0232,88.5206,103.7385,119.8484,124.661,123.1447,120.3493,100,96.9536,104.2889,115.9419, -Senegal,195,GDP Deflator,"Value US$, 2015 prices",27.4162,28.3692,32.2452,39.2679,42.4974,53.2392,49.5461,52.1444,61.9428,70.4969,79.1207,66.4283,60.0035,56.3616,55.3546,58.8314,82.1427,96.5333,99.4906,93.7448,111.127,107.677,115.4531,106.3858,69.3522,81.3825,80.4012,71.912,73.107,70.2892,61.9683,61.761,67.0989,80.8958,89.4518,91.8234,96.3156,110.6712,126.6209,118.0034,114.582,125.2191,119.0777,119.7305,118.4017,100,100.7814,103.44970000000001,110.1522, -Serbia,272,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,86.9436,89.8854,91.0507,94.1111,96.1207,98.1362,99.9331,87.8123,76.5612,51.5961,39.644,49.3554,60.5365,76.2215,82.0141,82.0549,91.1975,113.3683,131.5483,117.4687,108.1366,125.5767,111.2361,121.1633,119.8748,100,97.3462,103.5851,113.7933, -Seychelles,196,GDP Deflator,"Value US$, 2015 prices",11.757,12.0941,15.8714,17.5225,20.2216,21.7202,19.2563,23.2079,28.3267,36.6606,43.7912,48.6331,47.5993,48.0684,46.0605,46.6168,56.9356,65.1038,70.3776,68.536,77.1248,76.2418,82.3714,83.9463,87.0519,92.2163,88.9607,87.1357,84.6611,84.9192,84.4886,86.353,95.7468,103.2495,104.4998,104.9773,106.1111,97.7309,93.4459,82.7913,89.4455,89.1256,89.4245,105.7315,102.3092,100,99.1702,100.0864,98.1726, -Sierra Leone,197,GDP Deflator,"Value US$, 2015 prices",22.4091,23.7579,25.9532,28.6086,31.831,34.0188,31.8467,35.9782,44.7174,49.0124,53.7464,55.4092,61.2299,53.2825,62.5711,49.1746,34.0004,27.7246,42.4103,38.711,27.1112,35.3787,34.1349,38.5765,44.203,46.9136,67.4579,73.9106,58.942,63.8681,58.4442,62.6642,56.9722,57.6269,56.508,61.6108,67.5169,71.543,78.7868,74.7839,74.579,80.0677,89.8138,96.2897,93.866,100,85.5038,79.7586,83.6228, -Singapore,200,GDP Deflator,"Value US$, 2015 prices",13.6563,14.4113,16.4959,21.2708,24.8611,26.1533,25.5302,26.2211,29.015,31.968,36.107,38.7907,40.0011,41.7952,41.718,39.8686,39.7866,41.3667,45.6872,49.0923,55.2793,60.5699,64.8754,67.6296,74.1694,82.5583,84.2089,80.7967,70.7092,67.0962,68.4339,64.3691,63.6055,64.2564,69.0464,71.6789,76.3746,85.2409,89.4437,90.0687,96.0361,105.4923,106.6531,106.3415,104.85,100,100.5055,102.8527,106.8645, -Slovakia,199,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,38.123,31.2423,36.3611,38.4192,41.8515,49.5997,50.2602,48.0257,48.0452,43.8783,43.1661,43.2001,47.9009,62.1874,74.9621,79.9381,85.9145,104.4728,124.225,120.9447,115.8686,123.6504,115.7346,120.2081,119.8881,100,99.2309,102.5729,109.4172, -Slovenia,198,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,66.8773,53.5233,55.9473,55.0509,59.3307,80.8631,78.9082,72.528,74.8924,72.9212,62.8435,62.6424,68.0932,83.4422,92.8514,94.1046,97.0393,110.2956,123.316,120.9246,114.1002,121.0066,112.3788,117.9876,118.4358,100,100.4866,104.2475,111.4077, -Solomon Islands,25,GDP Deflator,"Value US$, 2015 prices",18.7565,19.2694,20.5205,25.1957,30.203,29.3926,28.7774,29.1213,31.9993,34.8405,41.0146,43.2779,44.2046,35.9117,47.3813,42.3622,38.6796,38.0967,43.593,38.803,45.1441,46.6154,49.4986,52.8013,55.2595,57.2913,62.3451,64.2566,54.6469,58.8671,61.0526,65.6331,55.235,59.53,63.7024,66.6925,70.3543,75.3188,78.6909,78.6905,80.1518,91.0917,99.5223,102.5911,104.1061,100,103.2407,105.7601,107.9592, -Somalia,201,GDP Deflator,"Value US$, 2015 prices",42.4235,42.2678,47.4841,58.3732,68.5742,79.0573,92.7101,41.5726,44.4968,48.1885,52.5414,57.513,61.0662,63.4581,65.7474,67.8267,69.1926,70.9034,73.4045,76.2822,79.1377,49.37,53.2974,91.0542,130.2792,129.8091,140.2981,169.5708,215.0058,206.0055,215.5081,132.817,120.1056,144.3677,183.3847,207.7482,209.4031,212.0371,216.4048,101.1316,86.403,87.5558,114.1332,129.0359,116.5582,100,94.3466,95.9534,92.8921, -South Africa,202,GDP Deflator,"Value US$, 2015 prices",17.8579,18.9013,19.5235,25.5901,30.2913,30.8023,28.924,32.1544,35.9099,42.6956,57.6602,56.2522,51.8003,58.85,49.562,38.3196,43.7512,56.2203,57.9934,58.9479,69.028,74.8505,83.0298,81.9508,82.6535,88.0912,80.187,80.7556,72.5408,70.2819,67.3446,58.4146,53.5502,78.94,98.4782,105.4832,105.2585,110.1203,102.2072,107.1225,131.8592,141.6351,131.8837,119.0472,111.7851,100,92.9894,107.988,113.0045, -South Sudan,277,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,98.0438,73.5891,93.1415,107.3622,119.234,128.1618,123.7141,100,51.1655,57.8723,60.2725, -Spain,203,GDP Deflator,"Value US$, 2015 prices",10.6045,11.524,13.5169,16.6785,19.5302,22.9188,22.9087,24.8946,29.7541,39.7381,42.1697,36.7963,35.1223,30.0988,29.7716,30.5656,41.1495,49.4457,55.5248,58.4058,72.797,76.364,82.7084,69.5566,68.6427,77.3833,78.8141,69.7879,70.1505,68.8107,61.4871,62.1739,68.0607,84.8304,96.9505,101.0828,106.0257,119.6282,130.9192,124.3379,118.7229,124.5885,115.0218,119.3339,118.9771,100,100.0592,103.599,109.4849, -Sri Lanka,38,GDP Deflator,"Value US$, 2015 prices",30.0848,30.6329,33.1675,34.8622,41.7395,41.766,38.2861,41.6084,26.2391,30.2091,34.2586,34.4911,34.9865,36.1088,39.2981,37.5233,38.1332,39.0976,40.8016,40.0585,43.4489,46.6819,48.1567,48.4053,51.9272,54.2608,56.4744,57.4162,56.9459,54.2413,53.0946,51.672,52.9443,55.1751,57.2588,63.6626,68.5128,73.3862,87.1721,86.9892,94.8908,100.7536,96.7538,101.621,103.3823,100,97.8397,101.0551,98.9388, -Sudan,276,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,85.4482,77.813,80.6623,97.0805,86.8722,84.4404,96.4816,100,102.826,132.4165,55.2154, -Sudan (former),206,GDP Deflator,"Value US$, 2015 prices",9.05,9.6048,12.5391,16.0304,17.5239,18.8816,20.1833,22.3261,25.5362,29.6987,32.9777,36.9985,27.4384,26.0352,37.4776,33.348,39.574,51.4042,46.8597,48.6967,50.5196,42.4635,43.4312,44.4602,39.7876,40.5777,24.9807,28.7946,28.3764,26.7003,30.1016,32.6116,35.5079,38.9315,46.1859,55.9277,67.537,83.8529,88.3055,77.0028,83.0561,,,,,,,,, -Suriname,207,GDP Deflator,"Value US$, 2015 prices",19.989,20.5109,21.3617,22.5484,29.3198,30.2509,30.1496,34.658,37.6893,42.6135,47.3374,49.4374,53.1201,53.3833,53.2097,47.1812,48.9853,58.1367,63.3864,28.7566,29.8331,30.842,31.5448,32.2922,32.9818,33.6734,41.5819,42.1297,49.3613,41.3501,41.9348,35.53,45.3392,49.6295,53.2616,62.2456,70.484,74.9798,86.618,92.2346,98.8583,94.5489,103.6758,104.0763,105.7308,100,69.2058,69.7684,73.2396, -Sweden,210,GDP Deflator,"Value US$, 2015 prices",19.4085,20.9804,24.1563,28.1949,30.3599,37.1709,39.6558,42.6016,46.2892,52.6629,59.6331,54.1796,47.1961,42.5232,42.4243,43.3988,55.7317,65.5715,72.3129,74.173,88.4448,93.7016,98.2876,75.1692,77.7963,87.3525,93.8559,83.6912,81.0342,78.66,71.9861,65.4289,70.4826,86.3248,95.2853,94.3287,97.2277,109.1591,115.5771,101.8867,109.2268,122.5571,118.63720000000001,124.5417,120.3018,100,99.9885,102.3286,102.9792, -Switzerland,211,GDP Deflator,"Value US$, 2015 prices",7.3875,8.5299,10.1375,13.2296,15.028,18.5822,19.7129,20.5541,28.6278,31.3972,31.9972,28.8424,29.9547,29.6577,27.4915,26.8864,37.8383,46.6479,48.8634,45.2189,55.703,56.8803,59.236,57.6828,63.0569,73.4723,70.4037,59.7129,59.7047,57.6907,52.0838,52.6525,56.8661,66.5582,72.3271,72.728,73.739,78.884,89.1979,89.105,93.2649,109.904,103.9044,105.1395,105.7082,100,97.074,96.5856,97.4825, -Syrian Arab Republic,212,GDP Deflator,"Value US$, 2015 prices",34.0252,36.362,33.5736,39.3159,50.8024,55.1874,59.831,66.319,73.1461,84.843,98.8353,115.7918,118.576,124.558,133.4787,65.401,66.7181,68.3677,70.7793,73.5541,76.3075,78.888,80.6858,82.5975,61.3673,62.6541,63.8013,64.9015,65.632,69.3668,76.0961,78.3203,75.2883,71.6694,78.8967,85.9343,95.3802,109.7853,137.1395,133.3118,144.011,153.2365,144.7948,113.3214,113.6545,100,67.5238,70.0611,86.2857, -Tajikistan,208,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,39.9885,41.3408,42.2829,43.2847,44.209,45.136,45.9624,39.9133,54.2844,43.091,31.8658,36.5332,37.242,42.6838,51.6717,53.9278,61.9216,75.5204,97.4082,90.3446,96.0888,108.4693,118.0265,122.4325,124.6149,100,82.7662,79.5919,78.0799, -Thailand,216,GDP Deflator,"Value US$, 2015 prices",21.2842,21.1079,22.4841,27.1301,32.8683,34.0495,35.528,37.6469,41.3731,44.7871,50.2219,51.0741,50.9053,52.7629,52.0794,46.3172,48.6227,52.0596,56.0758,58.5594,62.2487,65.7124,68.6619,70.4468,74.236,79.237,81.0928,68.4207,56.0698,59.747,57.0736,52.5123,55.2295,58.4233,62.4073,65.5886,73.1913,82.3104,89.6659,87.2923,98.3101,105.9836,105.9521,109.0901,104.687,100,99.4184,105.5208,112.4025, -Timor-Leste,176,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,27.971800000000002,29.108,33.5195,35.1139,36.1227,37.2287,39.2298,35.0627,40.8476,43.7927,45.106,48.6389,51.5157,55.464,67.0917,83.0446,85.896,88.4519,122.6502,95.1125,120.282,153.0673,171.175,162.9252,157.6411,100,80.3836,87.9086,88.7246, -Togo,217,GDP Deflator,"Value US$, 2015 prices",20.0667,21.1003,23.7454,28.9236,37.1296,41.2133,39.4571,45.0206,50.6706,57.0898,66.5118,59.5424,53.4515,50.6892,45.2381,46.2773,63.578,76.7624,84.4944,79.6393,90.5624,89.2769,96.7951,88.1741,59.9832,74.1955,75.3241,73.8939,71.5762,69.8752,59.8288,59.0593,65.237,75.9703,81.9852,86.9372,87.2521,99.9238,119.5381,115.1623,110.487,117.2209,110.1962,115.8299,115.6504,100,101.7468,101.1672,107.5568, -Tonga,219,GDP Deflator,"Value US$, 2015 prices",14.4147,15.9524,18.7108,27.1301,35.3501,31.8685,29.2734,31.7329,37.8822,39.9151,46.5492,42.3897,38.4772,36.568,35.8794,28.7741,33.7127,39.3641,55.3153,57.5541,62.8089,71.0967,69.9961,66.6019,64.8742,65.1771,70.6872,68.847,59.4508,58.8175,55.2574,47.2241,49.5775,55.4899,63.9036,69.1385,77.7337,84.813,92.2449,85.9966,95.1737,111.0146,114.3082,111.2986,108.7556,100,95.704,100.7205,103.5962, -Trinidad and Tobago,220,GDP Deflator,"Value US$, 2015 prices",12.3955,13.3846,15.2902,18.1656,27.3069,32.1931,30.9657,35.6287,36.7533,45.8237,56.2566,60.3136,67.6462,71.933,76.2564,75.627,50.8264,53.2919,51.9882,50.3934,58.202,59.3649,61.8553,52.8099,55.1205,57.1163,57.6679,53.346,51.9525,54.2057,60.7249,63.0847,59.6646,65.4305,71.1995,80.6764,81.6849,92.1215,114.7388,82.5687,92.1985,106.3055,106.0257,109.7731,112.1959,100,94.8912,97.9646,104.0334, -Tunisia,222,GDP Deflator,"Value US$, 2015 prices",27.8418,29.6399,33.4238,41.0573,49.3387,56.2175,54.2587,59.4776,65.262,73.7654,83.5245,76.3063,73.9932,70.3856,66.0248,65.4242,71.583,73.3716,75.1756,72.699700000000007,82.7639,84.1538,92.9856,85.7776,88.965,100.2499,101.6368,92.9971,93.111,92.4197,82.9335,81.2796,83.8174,94.2791,101.0652,100.5694,101.3945,108.0109,119.1984,111.9832,110.2547,116.9016,110.6296,111.0336,111.6729,100,95.7545,89.466,87.4784, -Turkey,223,GDP Deflator,"Value US$, 2015 prices",21.5405,19.2467,22.5145,27.3793,35.767,41.7142,43.1976,47.6409,51.8136,71.1677,54.7065,53.8766,47.2666,43.0298,39.219,42.1663,44.3797,46.6593,47.6219,56.0198,72.1071,71.6183,71.1775,74.7107,57.2234,69.184,69.2924,67.4286,68.9987,66.2785,66.2991,51.7213,57.8594,71.6536,84.831,96.4002,99.1702,115.4831,129.5243,114.6385,126.5233,122.8186,123.0378,123.3494,115.2625,100,97.356,89.4301,78.6776, -Turkmenistan,213,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,23.1876,23.971800000000002,24.518,25.0989,25.6349,26.1724,26.6516,33.8926,33.7791,39.0771,47.3813,62.1768,79.89,100.3317,103.0328,106.2422,109.4573,112.3977,114.584,100.9037,103.2688,116.5263,126.2192,127.7167,128.5175,100,94.4697,93.0118,94.1696, -Turks and Caicos Islands,224,GDP Deflator,"Value US$, 2015 prices",39.2086,39.9169,40.6381,41.3726,42.1202,42.881100000000004,43.6555,44.4442,45.249,46.0661,46.8964,47.7423,48.6066,49.4969,50.3784,51.2779,52.2064,53.1685,54.1992,55.027,56.0221,57.1073,58.2513,59.6606,59.3596,61.2737,62.8573,64.3239,65.3716,66.7858,69.0385,72.4299,73.1866,74.7934,79.5658,82.8962,87.7221,88.9746,91.6532,92.8614,89.8126,91.0962,91.7874,93.7209,97.6967,100,101.8808,98.9545,99.828, -Tuvalu,227,GDP Deflator,"Value US$, 2015 prices",23.3291,25.1963,28.3194,36.0806,38.9256,37.8886,37.7139,36.5864,40.4962,42.1903,45.6265,48.8715,46.6486,45.1811,45.6837,37.6866,38.2179,41.3665,49.1365,54.6529,55.0551,56.5142,58.0366,49.8608,53.9417,58.4441,66.0097,67.0217,54.2367,57.8905,51.2701,48.5076,52.6838,64.2557,76.9926,80.4903,82.6088,91.6668,95.066,88.9859,107.3198,121.6635,123.1008,117.0453,114.6691,100,106.5916,111.7286,109.47, -Uganda,226,GDP Deflator,"Value US$, 2015 prices",37.2468,40.1103,43.5814,51.0059,61.7692,71.9178,75.8757,80.5902,86.2588,93.4153,101.8535,111.4911,118.3793,123.0159,127.454,131.4846,147.5308,155.1222,164.5135,135.9245,90.5495,69.5732,71.4126,68.9421,97.8455,104.6491,99.8351,101.9116,89.5452,79.7477,72.5921,69.3809,68.1735,67.8723,76.7643,83.0515,85.0857,96.8825,106.0507,103.8763,99.1844,102.2494,112.7071,113.2106,117.1975,100,98.7493,100.7638,102.3994, -Ukraine,230,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,57.914,59.8725,61.2369,62.6878,64.0264,65.369,66.5659,77.2285,65.7737,49.6752,46.4377,51.8079,54.9959,59.4183,68.6897,88.4755,103.1201,126.6751,156.6962,119.3129,133.1445,151.4429,162.7683,169.7858,132.3248,100,100.1103,117.412,132.5022, -United Arab Emirates,225,GDP Deflator,"Value US$, 2015 prices",3.712,4.442,5.8408,9.8882,23.8159,28.4092,32.2311,35.5278,34.7776,36.5728,40.3932,44.4429,45.7777,44.2522,41.4336,41.225,42.5284,42.902,43.8243,44.1228,45.8182,46.1896,47.0242,47.6253,46.7539,47.8937,50.6291,49.9326,47.1613,50.4167,55.5113,54.2196,56.2642,58.5555,63.5334,74.0332,82.8892,93.2785,110.5662,93.7789,104.0978,117.8027,120.4388,119.3944,118.3132,100,96.7347,101.8311,109.7708, -United Kingdom,229,GDP Deflator,"Value US$, 2015 prices",12.3637,13.5404,14.8982,15.8463,17.3941,20.7028,19.3582,21.3717,26.1855,32.9912,43.3345,41.798,39.0258,35.5976,32.8065,33.3804,39.7859,46.8087,54.0634,53.6797,62.8451,66.4162,68.3101,59.9481,61.9943,70.417,72.4844,76.8715,78.5032,77.3919,73.7182,70.838,75.3087,83.8918,96.4713,98.2048,102.1316,113.9357,107.6909,92.7667,93.4237,98.8485,99.0774,99.9117,107.0813,100,90.2678,87.6691,92.6028, -United Republic of Tanzania,215,GDP Deflator,"Value US$, 2015 prices",34.5683,35.5001,37.866,43.8457,51.3767,55.8454,56.8512,67.6474,80.0558,82.0022,92.6516,107.423,113.0045,116.7734,103.7617,109.4005,75.8492,50.651,56.7266,58.2602,53.2504,56.9394,49.0459,43.0075,43.0448,48.477,57.4269,65.6694,68.9721,67.386,67.4982,64.9328,63.0375,63.5973,64.9663,66.7632,70.2031,74.8205,90.251,89.3034,91.4303,91.3796,100.526,109.0616,112.0148,100,98.3655,98.7616,99.156, -United States of America,231,GDP Deflator,"Value US$, 2015 prices",20.7009,21.7503,22.6905,23.9339,26.0876,28.504,30.0727,31.9412,34.1879,37.0244,40.3688,44.1886,46.9186,48.7563,50.5153,52.1128,53.1623,54.4768,56.3984,58.6094,60.8033,62.8596,64.2921,65.8153,67.2207,68.6302,69.8869,71.092,71.8922,72.9301,74.5605,76.1959,77.4011,78.8386,80.9611,83.4829,86.0093,88.3198,90.0377,90.7241,91.7813,93.6985,95.4955,97.1714,98.9694,100,101.0353,102.9384,105.4459, -Uruguay,234,GDP Deflator,"Value US$, 2015 prices",14.5374,17.4433,14.24,18.118,24.3341,20.2834,20.4379,22.624,25.7516,34.7258,45.2882,49.6143,44.8367,27.5898,26.5063,25.4893,29.0985,33.7781,34.8591,35.2683,37.5303,43.6814,51.319,58.2654,63.2566,70.8844,71.3874,71.9741,72.9308,70.2657,68.1811,64.9279,45.8148,40.2352,43.5369,51.3977,55.6774,62.4843,75.6225,75.6371,89.2725,101.0696,104.3364,111.9014,107.8345,100,97.2552,107.11,105.5209, -USSR,228,GDP Deflator,"Value US$, 2015 prices",66.7127,66.6525,73.3936,81.607,77.7232,84.2551,79.6579,81.2379,87.9409,91.3129,90.755,83.145,81.7626,80.8178,73.388,70.5105,64.6674,59.5751,55.4488,51.8042,48.3167,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -Uzbekistan,235,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,,59.7321,61.7521,63.1594,64.6558,66.0365,67.4211,68.6556,72.6155,67.1419,73.2953,56.7731,36.4182,36.9942,36.5081,40.4217,45.0103,50.5716,59.4308,72.3145,76.3578,82.1814,92.3359,96.8848,97.0811,100.6358,100,94.1771,65.2191,52.9595, -Vanuatu,155,GDP Deflator,"Value US$, 2015 prices",32.1192,33.8163,43.7173,45.609,33.8005,42.8582,40.6017,42.9451,44.5759,56.4789,60.671,50.7132,45.5454,36.8343,41.9614,39.4551,39.1171,41.3955,48.4757,45.9576,47.5996,50.5594,53.1262,52.3401,55.9609,60.609,61.418,60.4062,53.8671,54.508,51.8023,50.8879,53.6371,62.1954,69.4238,71.3403,73.1688,83.3547,90.4309,87.8362,99.283,110.8659,107.5171,108.1499,107.4487,100,102.3242,107.2254,104.9407, -Venezuela (Bolivarian Republic of),236,GDP Deflator,"Value US$, 2015 prices",10.7662,11.4726,12.2368,13.7168,19.8146,19.6572,20.6744,22.3263,23.7336,28.7789,35.9303,40.435,41.0144,43.3395,32.2106,33.2749,30.5103,23.3774,27.7017,21.5421,22.9673,23.0177,24.5295,24.3087,24.4931,30.8684,28.1901,33.3282,35.3594,40.3368,46.5158,47.2025,39.1391,38.1541,43.4243,50.9361,58.4544,67.4847,87.8195,94.6973,114.9172,88.651,101.1146,97.1714,98.9694,100,101.0353,102.9384,105.4459, -Viet Nam,237,GDP Deflator,"Value US$, 2015 prices",19.1812,20.1354,21.1387,22.1946,23.3017,24.4573,25.6775,26.9555,31.9601,32.7378,11.3815,8.4634,9.0949,12.7513,18.1301,16.2498,16.5771,16.987,17.5862,18.2756,17.8817,19.9283,23.6816,29.2724,33.221,38.6262,42.007,42.2844,40.5249,40.7743,41.4954,40.7024,40.7779,42.8518,49.8649,53.99,58.1204,63.2789,76.6877,77.8132,79.9564,87.9887,96.1111,100.1795,102.7948,100,100.0162,102.0779,104.3302, -Yemen,249,GDP Deflator,"Value US$, 2015 prices",,,,,,,,,,,,,,,,,,,,24.8978,25.8298,26.7033,27.3118,27.9589,28.5559,29.1547,29.6885,30.2005,26.8131,30.7598,35.7222,34.8881,36.1869,37.8726,41.6983,48.357,55.3654,60.123,68.5441,61.6266,64.7769,76.7123,77.4764,81.0418,86.6642,100,108.6804,117.8239,131.8895, -Yugoslav SFR,248,GDP Deflator,"Value US$, 2015 prices",17.5746,17.4804,17.8967,22.6881,27.3356,30.5089,32.7226,36.661,40.0014,47.8757,48.0074,46.6486,42.3069,43.964,44.9325,45.7251,46.0135,46.512,47.4998,48.6928,49.8307,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -Zambia,251,GDP Deflator,"Value US$, 2015 prices",28.6738,28.615,30.6357,39.4995,47.0516,43.4852,44.7919,45.4801,51.3728,66.0733,71.6838,67.2742,69.8856,63.3921,51.0153,44.2879,32.7657,31.9354,51.5657,58.2141,55.4308,50.3089,50.1414,46.4702,56.8127,57.4795,51.1328,58.9221,48.627,44.7135,45.5183,49.148,48.1705,52.6466,62.4254,77.9645,110.628,112.5042,133.0108,104.2213,124.9249,142.9947,134.8549,137.3347,131.7123,100,99.1258,115.4557,116.9989, -Zimbabwe,181,GDP Deflator,"Value US$, 2015 prices",47.9255,50.9442,58.0079,69.2643,81.3033,88.4355,88.0968,94.8977,97.0325,110.8926,128.9603,137.8831,143.2035,128.1647,106.8965,110.6483,119.4789,128.1204,138.0866,138.7903,137.6396,121.7054,107.9542,102.6981,102.0569,105.7845,117.3406,119.0221,82.9746,81.8081,84.2127,83.7826,84.5085,86.1098,85.5554,86.447,87.9491,89.7504,85.9566,82.0386,85.4009,87.5813,91.1096,99.6471,99.3959,100,102.161,104.6567,110.12, +area,area_code,item,item_code,element,element_code,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022 +Afghanistan,2,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.5409188235,17.3664566715,18.1057740083,19.0936168452,22.0400875741,23.3848056359,23.989457062,28.1310888589,30.2763485592,34.2715198031,35.655928385,33.2424520974,32.6013202923,31.0573883851,29.9545113911,29.4314335704,28.6624452596,27.8062670247,27.7180374625,35.1814051367,40.8927850313,43.0288892492,44.1937103463,45.125966135,35.3414144099,43.5183020889,40.6931653956,47.0076458447,49.4925486243,38.2011799545,62.530553787,71.3496030079,55.2727539837,54.4991392214,60.3718967059,64.8270654511,68.2007781207,73.6698694934,81.0204757156,82.7740738417,99.6969959373,110.2289594493,110.8210173979,106.5453974325,102.9939117014,100,94.8255616008,96.8752823588,93.31752212,92.1725606249,100.5779987751,94.1068937006,90.3353901007 +Albania,3,GDP Deflator,22024,"Value US$, 2015 prices",6179,71.714175252,70.9339820649,70.1554488209,69.3870859541,68.6439578667,67.8707339169,67.1321131013,66.4619131665,65.6026301291,52.6694718619,46.064181553,45.0589959154,45.0515570977,45.0469127185,45.0312035929,45.1897583838,44.1334719114,44.1334719092,46.3169864831,50.3971121734,40.8478340881,42.2292104372,43.191576273,44.2153633075,45.1595486578,50.6940137419,62.1335779067,48.4514733858,51.0447765865,56.7104929267,57.5770766384,59.8648037406,63.5227591007,76.8552128519,93.9974243916,99.935040889,104.2561489499,118.0669460356,132.5008315563,119.869040054,114.4591170308,120.6388148684,113.6830976473,116.7259691159,118.7479684083,100,100.8241467847,106.6167946517,119.3182086561,118.7705373126,120.8979706174,134.4070871299,135.0000169551 +Algeria,4,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.788716856,17.0064897725,18.6125847955,22.9461498529,31.7685734427,35.2170377473,37.8432369593,40.9029166171,46.646085684,54.6362755122,68.9848144793,70.1654426193,67.18189056,68.8388041372,70.7105446591,74.69079642,80.894020645,83.2907559163,76.7064824769,69.3262493019,76.7378313719,58.5686991022,60.6720632848,64.1712063864,53.9085138551,51.4942614627,55.199638174,56.0354374126,53.3280068242,52.1602512037,56.6040125294,55.347245179,54.0899838027,60.2650293761,72.6535968615,82.9695604878,92.5151271615,103.1965464641,127.6741630234,100.8324685237,114.3500632328,137.8820680058,139.3749792518,136.0300901342,133.5836406328,100,93.4285642343,98.0288766558,99.607892877,96.8452322367,86.5921710903,93.9321520505,106.9586113047 +Angola,7,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.2863121101,14.1873423357,14.4936486593,16.3953791864,17.8383727093,13.8400335209,14.0130097843,15.1705446801,17.8679959302,19.7802959727,25.6756073881,25.1363410214,25.1363410214,25.1395493184,25.1398480098,29.9252697903,27.2193292595,29.2929637009,29.9557298572,34.7245505404,38.5313790954,45.1937327024,55.1230585842,52.5467005429,53.3636485105,22.2369836387,25.7276644918,28.1086623917,22.6248992235,21.1383049774,30.4349577178,28.8829191122,32.261683991,36.5039789255,43.5010333324,59.3639249208,75.3331385917,82.3306294348,100.4705372257,79.1029699793,89.9140894925,115.9219400763,122.3361267759,124.4410778247,126.5332383072,100,89.353623299,108.0173920527,90.8266993391,75.0273795003,52.4085764547,66.6956442834,106.3459067149 +Antigua and Barbuda,8,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.9518996302,13.5143450044,17.246997239,22.0826166568,22.7645280354,24.6299976806,22.4869634925,23.859565549,26.0916528802,29.0058744526,32.434815446,34.9640986885,38.588868737,40.1326958047,42.2667782575,45.3088292648,49.5877618848,52.9543935526,58.1980716177,60.8643113446,61.8686679069,63.4812139758,65.0436766998,66.2230706966,68.3717365006,70.0149578769,72.0994322894,73.4168969306,74.9659251924,76.0935740083,76.9385865955,78.4561760619,79.0608749366,78.1313874641,79.3640407515,83.0832002606,83.3790976623,86.4746718028,90.2815339911,91.9399482678,93.2945522532,94.2418793118,96.1603725406,95.250171871,97.0708825258,100,101.8736715472,100.9263868057,103.300999311,103.5159449162,105.3222988695,107.351329609,111.4794794322 +Argentina,9,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.7876843389,15.8965388903,14.6744506346,15.9282223015,17.0008892226,18.2035787891,19.275939472,20.3957895285,21.8303948484,23.6415660214,25.77712686,28.2161959389,29.959468001,31.1329166085,32.2561005226,33.2761820134,37.3012267939,37.3895350651,44.4703430542,28.8806253383,53.9966757661,65.5847701972,71.7029107425,69.8367526884,71.8221104534,74.040478426,74.0081592204,73.6767507763,72.4204090258,71.0903471969,71.8277432032,71.0406667855,30.2622296982,35.3132001932,38.2701846447,42.5043259441,45.9602281434,52.1212691409,63.2077679348,61.8032045309,71.1584021176,83.4455833796,92.4648619415,95.2446066684,90.3293999363,100,88.2887897001,99.1287060337,83.0028782289,72.2604629676,69.0898355615,79.088534727,97.5966124547 +Armenia,1,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,42.3432442705,43.3469229557,44.2725634248,45.2009151314,52.9773628314,52.6136433084,56.5984452105,53.4614569282,52.2929381176,52.8960153612,51.5741943043,53.4224944453,61.6172827051,74.1439408851,85.3341641391,108.1772740984,128.1309673269,110.6755676556,115.9440487307,121.3417092893,111.1719206071,112.7554943617,113.5673249179,100,99.7603323961,101.4078455644,104.1737316907,105.8112745586,105.7893387648,109.7453373423,137.1313935247 +Australia,10,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.4051142739,15.4735347477,17.7475080037,24.6236220794,28.9655945724,30.1207613891,31.3282869694,30.7675418842,34.5015767173,37.0670721267,41.3558747838,46.6247156099,45.3358656571,43.4311448713,44.2867705725,37.55144507,38.4708071887,43.1883929105,52.6414771264,56.5271883362,57.487033721,58.214549606,55.3596664781,51.7813672034,56.943004465,59.302003793,63.4025415378,60.8451928865,51.7483976718,54.5073521388,51.2440463794,47.0150437989,50.8533479742,62.6679598579,73.7811047142,80.5346687466,83.3688267382,96.9170128646,102.0092307862,95.9462937083,119.8790015377,137.2209616679,137.5296976833,130.0584691198,120.7174220007,100,102.6540342399,107.7728911887,108.6327148736,102.8322250976,104.6518563246,122.3590230519,121.0242123954 +Austria,11,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.3774196539,12.5741208007,14.6244306822,18.6546141431,21.3967315809,24.4466219208,25.0694026701,28.6270727236,34.5326230081,39.0576868216,42.6062989635,36.9354825517,36.3303534844,35.7000446991,33.6364381544,33.4941043498,46.7295310433,57.8059563027,60.089915153,57.7422062444,69.2080927494,69.8482033588,76.7940362053,74.5503021403,77.8403269608,89.7888328464,86.348459646,75.8518875809,75.111144446,72.1743760099,63.2659411499,62.6445948617,66.63953263,80.9605320995,90.6194880457,93.0630887586,95.654199979,106.6787734888,116.4073274657,112.4823955355,108.1745071411,115.6230980041,109.0625369747,114.5323278103,116.9354763597,100,101.580596598,104.7845197591,111.5538440841,107.3819469027,112.3646837313,118.6144779731,110.8603523532 +Azerbaijan,52,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,34.5310828141,35.3495867406,36.1044501991,36.8615246796,37.5364473496,44.252780968,45.1588769217,43.3238322589,44.8827869759,44.2080894092,43.6840755264,45.8554640208,49.6617827595,59.9431099777,70.6215897165,88.9558640393,118.7156577132,98.4816457797,112.0333018693,139.5617700524,144.3237863328,145.1701659883,143.340102859,100,73.6541293227,79.4242151691,90.2331989121,90.0301596261,83.3203855042,100.9671278239,138.5762310132 +Bahamas,12,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.3880281355,16.708563842,18.6174213028,19.8002085729,28.8402632409,31.6109049621,33.1055198163,32.2057040298,32.8866417264,31.6770998736,35.6940905357,40.7377059935,42.990751599,46.1873274266,43.2053667836,44.8831559515,47.6621995429,50.9556980948,51.7834632089,54.6932977103,57.4544518924,58.9273099121,61.2335018862,60.7060506738,62.0263426579,62.5381137369,68.1118696735,69.3608875056,71.4755406045,75.0144198252,75.7059768417,75.9734062388,78.9831734728,79.894747942,80.8491927182,84.9375178922,85.641168277,88.1645239636,89.4771585451,88.5505385713,88.2031558638,87.4448727501,90.3025653563,91.5963679559,95.1574595912,100,100.6322849739,101.9694419298,103.3624485757,104.914286087,101.2562236076,102.8933869321,100.6566707728 +Bahrain,13,GDP Deflator,22024,"Value US$, 2015 prices",6179,8.9475356668,9.4942490193,10.8134505608,13.5269955491,17.0751405861,19.7530473037,21.7865676057,24.2448121409,26.6608725996,30.7261485672,38.6162217692,46.6978754234,53.077917362,50.1301931937,49.9702450236,55.661612222,45.9851153078,45.8453108793,46.1777290031,48.3811333357,50.6896439863,51.3293184222,49.7665224808,48.2596484075,53.1468297845,55.2037314653,55.6021392968,56.3206346248,51.3650907965,52.5287504411,58.6675097799,56.6940070852,58.6296772632,63.673389612,70.6717814883,80.3785443309,87.4859014336,94.8659262731,105.6504893941,91.9218856429,98.7595759843,108.3756474777,111.6427589264,112.0718439784,110.1990118042,100,100.2475243717,105.7797862696,110.3648297615,110.484951801,104.4046824798,114.3241837867,123.1367560462 +Bangladesh,16,GDP Deflator,22024,"Value US$, 2015 prices",6179,18.9739050867,18.0717349777,23.394222485,24.6761979722,26.8967336708,29.3880737658,31.0054130231,31.8035298487,38.065515898,42.0392555055,47.2665528602,46.3667475177,41.6873316884,40.5595359548,45.095901195,45.4244039343,45.9214739445,50.0832683449,52.5753122646,55.7052608608,54.5338481055,56.3587423569,55.1948202632,54.490992716,55.6396629475,59.6281265853,59.8986826386,58.7979581649,57.9225949774,57.9272836875,55.545983087,52.7209260448,52.4494433199,54.577107166,55.5888090009,54.037876228,61.5331600329,65.5706424585,71.0103172375,75.329660788,80.0045525663,81.0521191032,79.4124872635,89.2069988904,94.824636558700007,100,105.768878725,108.64354819,110.7797626968,113.4897999032,117.2687601709,121.7968389345,118.6561258001 +Barbados,14,GDP Deflator,22024,"Value US$, 2015 prices",6179,8.2623321616,8.9374721275,10.0956659333,12.1548428959,15.2426665961,17.2271188947,17.9162999283,19.6634786228,20.9832884319,23.5809879279,28.9973712482,32.5423694879,35.7652464114,37.7785472987,39.765582352,41.1707917928,43.0124393511,46.1802530932,47.4801651855,50.6786295503,52.6084073647,54.3122605222,56.4365728315,58.8090285223,59.5750993655,61.3977397547,62.9691028636,63.5448333499,69.0665723157,72.1382425379,71.1695337333,72.7819500804,73.4374905641,74.2636104693,78.5891754755,83.8290428398,85.0154029653,92.1886913613,93.722227226,92.1459932593,95.6608485084,99.0402351457,98.4539898333,101.3551355999,101.857822023,100,99.7614449125,102.3654891286,105.8298779731,110.6873426139,112.0365890928,116.38167931,123.1482329691 +Belarus,57,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,69.8612231766,71.517171412,73.0443660455,74.576033891,75.9414971086,66.2639807172,65.97774976,50.8582070566,41.2608435695,46.7247696647,52.5640381452,60.0018479936,69.9079897826,83.388117902,92.7514865169,104.638130005,127.3591962196,103.0009380918,107.5407771347,109.9563160238,114.9330025157,130.9084430106,134.2576304895,100,86.6693282863,96.9186353976,103.0682276757,109.0101030999,104.5645945105,113.6508266472,124.5923153842 +Belgium,255,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,64.6136514586,64.0014716776,68.4157372653,83.5635747926,93.6942195716,95.7940260473,98.8211748836,109.8986779289,119.8650283801,114.2819711373,111.0154275333,118.6292110107,111.7959822956,116.9954808633,118.0555421679,100,101.6529618883,105.7153721396,112.2262953447,108.2577301577,112.1236679118,119.5009712649,112.6751852506 +Belize,23,GDP Deflator,22024,"Value US$, 2015 prices",6179,10.7745380569,12.7944926986,15.8933509447,26.0123911176,31.7504205129,36.5448056578,28.9975041277,35.7837847523,37.8675563278,42.6137681232,56.2982938893,55.0541128842,51.3036039894,55.284353078,60.4910276712,59.3979017833,61.861813777,67.471352425,70.3708160531,71.8047234403,71.9190558674,70.3351549582,72.69191384,74.0596924061,75.9889396576,80.1015762356,82.4414401246,81.1162443372,82.249841829,80.4955032181,81.5194894254,80.9103508146,81.570812793299993,78.565701794,80.3742897695,82.7092858549,85.5659575687,88.8675401294,92.0029925874,89.8240777887,91.7711988059,96.151420849,96.8432325006,98.7926669843,99.9822434356,100,102.0494853907,105.1051489444,105.2479088011,105.1449298131,104.4994752296,108.6488652714,109.8309192705 +Benin,53,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.3709082088,25.3363292102,28.4121827748,33.3658985595,33.5631429614,43.8376271683,46.0354328598,48.3107610535,58.9484680662,66.4722669158,77.627029508,69.5242619524,61.2096936787,55.2873102421,49.1571817031,45.4735217387,56.8616434541,67.5284282301,67.945215041,63.4621357847,71.5220837364,69.5490984905,76.3673866042,73.083706295,50.3308036145,65.945521286,68.78366205,62.4958777087,65.0650784628,62.6162280102,56.4995488009,55.9573813915,60.9433859346,75.3222723871,83.5047539341,87.2250119887,89.831433968,98.3903858113,112.0783523567,108.9907285079,104.824706622,114.1327521244,113.6113247706,119.0432254967,118.6582045625,100,100.522821037,102.2139674211,107.569592152,101.5710793025,106.6079723142,112.1791506021,103.8411878932 +Bhutan,18,GDP Deflator,22024,"Value US$, 2015 prices",6179,60.3912735395,63.1516921023,65.9734376097,73.1404478359,81.8954224103,79.1526732507,74.0200484766,75.9072797692,68.1081175611,72.7945598988,84.6443898291,85.4693776225,87.8865930735,91.2451101912,84.3775978421,81.8788992896,84.8388111039,77.7490468924,79.077587784,70.6069337724,68.2314321682,57.7148643463,56.0448941369,51.6979712488,57.3826557594,59.8645720117,59.472528247,65.4880426917,62.4067323699,64.4626696208,64.7911854196,64.9586398302,66.1337492211,71.1339382855,75.8935634778,80.3443253567,84.6429503456,95.485392761400007,95.752713325,90.1521443478,101.0222369051,107.4019054699,102.4124518238,98.8736490452,101.5055280834,100,99.6559042582,108.0786061183,104.7247710228,102.6195075392,104.2068922205,110.868964043,113.12106654 +Bolivia (Plurinational State of),19,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.5621322665,12.9531167421,14.0189330554,13.4723941231,21.6449978135,22.5157290791,24.661262312,23.6155113591,25.2765864637,27.3736728918,29.8463578141,32.6704634194,34.6889320418,36.0476236914,37.3481157581,38.5292294386,39.3051701645,40.2771123498,41.6978558516,41.2093239804,40.650205615,42.3910123642,44.049665182,42.9271522619,42.7733781626,45.8778992119,48.4230137646,49.4355065711,50.4637529436,48.9930576224,48.4451319877,46.1886538685,43.7618601836,43.5601329671,45.3887637022,47.3115119271,54.1414169888,59.3208244679,71.0239002559,71.4604158171,77.7699373107,90.1499926771,96.9276274473,102.7388153065,104.8444448242,100,98.6451297751,104.6245190033,107.8220053336,107.0747951474,105.0892145085,109.2580724635,112.9835110894 +Bosnia and Herzegovina,80,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,158.592819006,124.3260650892,84.9267718039,52.8474531142,47.6098960252,47.84160222,45.8588043307,46.3901521463,52.1501978008,53.0456401906,58.5831736363,71.2454219606,80.0762890755,85.1638750607,92.6105573525,107.300070488,123.2648077729,117.1169189188,113.2269350651,121.7354400034,113.4120794902,116.934200457,118.0143780568,100,101.1404237757,104.7994095113,112.7715930084,109.7698662944,111.8918343632,121.8473507419,121.6309570325 +Botswana,20,GDP Deflator,22024,"Value US$, 2015 prices",6179,15.4828388735,16.2320963095,16.720918724,20.3633292619,26.0162133933,27.919639656,27.338599853,31.8667460359,33.9863197717,38.782252092,49.5470990652,50.6825935729,40.9406705429,39.7137686225,36.5959580544,28.935202253,36.0225442047,45.8564419778,47.3807338299,60.0518800037,69.0697854885,66.8211825163,68.2589228698,67.1966659461,67.6485139459,70.1993739796,67.9751179189,65.1636224759,61.7352795142,64.4459472325,66.6931852234,63.0938748783,58.933095495,77.793064337,90.3243983646,95.7790004365,90.128473638,90.8574535877,89.3578967116,98.1398110123,111.3035757287,124.569132679,115.1689865425,106.0772828631,108.7867068444,100,103.9810084973,106.643912585,108.2456107462,102.9871617215,100.8989094729,106.8900244238,109.7580401109 +Brazil,21,GDP Deflator,22024,"Value US$, 2015 prices",6179,10.2002620261,10.2327191778,11.7656598904,14.6158561578,17.3261757984,19.3723661528,20.7714022505,23.0389672763,24.9201384973,25.7333468271,22.1977747432,29.5268001748,32.0703935251,23.2607445302,22.4358842587,22.2769975291,24.9184256556,26.3877898502,29.4951850622,38.8916282479,44.0618919576,40.5777054505,39.2370989027,41.9979712943,56.5978977924,72.7855773658,77.8075154965,78.0921626741,75.6117876707,52.4761769335,55.2459984097,46.5525085884,41.1245066587,44.5240122402,50.4743473061,65.1560548123,77.8550970395,92.5834845164,106.9329980252,105.2456597682,129.6913399024,147.7353105108,136.5882337093,133.0120476511,131.4472584725,100,103.0129099571,116.8314017581,106.6303966678,103.3948526213,82.8176067261,87.9271697184,99.4588944401 +Brunei Darussalam,26,GDP Deflator,22024,"Value US$, 2015 prices",6179,4.5237368259,4.5363845285,5.6468183132,8.2413275877,18.3154991303,19.8599403355,20.1323742686,22.1015560422,23.1895547709,27.3271412677,51.6516965003,57.0712527587,53.6193034573,48.1022828051,47.0420512285,44.4838668928,30.6394722387,35.0870606559,33.5069488497,36.771702302,42.8898028585,43.7179590481,47.1826035828,46.1536358245,44.5456168924,49.3800446329,51.8670115182,53.478025338,41.9123981,46.1897680451,58.5949531944,53.2258755748,53.4590165494,58.2989030763,69.6369412048,83.9887137528,96.8178019179,103.2179374856,123.6996101437,93.8962401243,105.4835431853,137.4128142478,140.0185924535,135.8913274495,131.7116308546,100,90.4073018318,94.9185189261,106.1230084232,101.4348096802,89.4001241863,106.0002226511,128.3344137892 +Bulgaria,27,GDP Deflator,22024,"Value US$, 2015 prices",6179,58.1651273418,53.792452574,58.4439354886,64.4214695068,65.1440296819,52.8253570049,52.5819931612,50.5863523096,51.8904315547,32.7076685175,35.6621773663,39.0365842415,41.448368837,43.0718132417,44.6257173744,46.0369812151,46.9641206658,48.1254541463,49.8230417407,51.7762784517,53.7144352818,23.783876855,28.9206097373,36.9608036245,32.5309944012,56.1742065752,34.5661557883,37.0436951242,47.4080920667,46.9538346098,43.606968273,44.9734979035,49.126781473,60.1770719925,69.8929001224,74.5478751536,80.3434484931,97.2919805147,112.3898749104,111.1247972698,106.6154958673,118.8385074335,111.0346862228,114.7704405186,116.2606927503,100,103.1093119419,110.0980368889,120.1889339927,119.9670423428,127.313021626,141.5531382322,145.0615240776 +Burkina Faso,233,GDP Deflator,22024,"Value US$, 2015 prices",6179,34.9280164303,35.8125913197,37.3490464543,45.5834301224,47.5840144419,55.2886081217,53.5451997773,60.4251408134,69.7278436442,92.971262471,99.1880799736,88.0548880404,79.0019472283,73.0358870012,64.2496994587,66.413210516,80.6939802613,94.1299147251,98.2191946613,96.1296127499,114.6816963133,106.2799389288,113.5388547868,104.5958262623,61.1579014947,72.626473346,71.1125466881,63.2959508835,67.5942960206,67.6398114661,58.0136920405,58.5790057096,63.4922612432,77.2718086676,85.0887803367,88.4072450151,88.5901550827,99.0626649795,115.7339786966,112.3983663451,111.2083159893,124.5907308792,121.8624385361,123.2479815567,122.390487917,100,102.4404217499,106.0292080816,112.0320158806,107.9243550602,117.3692993176,120.8309276939,113.9237285207 +Burundi,29,GDP Deflator,22024,"Value US$, 2015 prices",6179,23.7384162449,23.6548760311,24.5457434306,28.4728607144,32.4554079263,38.8656393459,38.8082802092,42.2729959053,45.5317943399,57.8874341247,70.7393107622,66.5925055963,70.4055924144,72.2989966758,65.7820867498,68.5549403858,69.554288117,62.943974814,56.2409645638,57.5807072089,56.4553886936,54.4874046636,49.8258489857,48.0723400946,54.3833623966,54.7474238914,52.0316394448,58.0322822551,51.0197478563,46.6019268421,41.262599564,37.7483364601,34.2553947522,32.8708433915,36.0210507946,58.651896691,63.4223612962,65.3161157347,74.0015876353,78.5409181394,85.5379981368,90.4605495571,90.1773973651,90.5543977864,95.8826471875,100,101.0211963016,109.503245713,104.5997420471,101.6796354146,108.7674489385,115.261260614,121.9509175011 +Cabo Verde,35,GDP Deflator,22024,"Value US$, 2015 prices",6179,28.2403537992,30.2355965369,33.425220694,40.5994137123,39.7369805368,55.6739199758,50.8942770639,50.2449589618,52.7379442873,54.7913972031,58.1813299477,52.6039025249,51.5894538429,46.3862234234,42.6143949806,40.9221093437,55.0675932935,65.367240833,69.295084424,66.3025479792,75.5868418818,77.6992202675,84.1727099815,79.113553581,83.7080250991,93.4038811571,90.0849243311,81.7827197611,80.3796363261,81.582777209,68.7155766377,67.5994552178,70.8163789657,88.6722869115,96.5613070885,95.3239713559,98.6486556244,109.0974348168,120.9019401313,117.153214625,112.2557766064,120.9783571995,112.434985082,117.8472845186,117.585243855,100,99.5064313357,102.1150100485,108.5468481587,103.5262287119,104.4356728122,110.9711205258,104.3253234151 +Cambodia,115,GDP Deflator,22024,"Value US$, 2015 prices",6179,20.3268024461,21.3572021067,22.2804208693,23.5013613565,25.6161770957,27.9889042031,29.5292417528,31.3640018189,33.5700926299,36.3552545324,39.6392526308,43.3899761279,46.0707249193,47.8752171754,49.6024139712,51.1710631127,52.2015979152,53.4924442578,55.3793482129,57.5504114836,55.4524178522,68.2548708894,67.8972385018,66.3239206485,67.7292029597,79.0709836236,80.101762308,74.4719001806,64.4650725275,64.647538021,62.0397783906,62.4527773938,62.9663279905,63.1102861559,65.4472570137,68.1310458378,71.0986218588,76.6129639507,86.0433418815,86.3832900088,88.1089253341,93.9096983807,95.8015797094,98.094909124,99.4924096061,100,103.7555034361,107.4265747296,110.7841131625,114.1233889784,109.9685486733,112.5770814948,118.9452889345 +Cameroon,32,GDP Deflator,22024,"Value US$, 2015 prices",6179,22.0070994541,23.9875458361,30.0524448756,38.9457188605,40.1932265904,50.850144037,58.6278614089,60.2922322057,65.052768307,81.640262905,90.897634609,79.5099494283,74.2466135501,71.4660035804,65.1562946942,62.5621921382,80.7384180136,93.2311792568,94.7077230781,90.1208780506,106.7988483329,106.6224701552,112.0958164407,122.4042266456,66.1002675314,78.4015115843,76.8145295158,71.4731828921,71.4657628535,69.9753379938,61.4397013711,61.1479423986,66.0949915602,80.8104981909,89.0288710937,90.3768312585,93.2646729933,102.2530275697,114.8438122456,112.8386557838,108.3182462155,116.6358321282,109.8971215257,117.0322559085,119.2990011742,100,100.5010741232,103.6206835509,110.37865347340001,105.8635376722,108.3552388042,116.2317382612,109.7890922128 +Canada,33,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.4776949935,21.1594929842,22.8400791492,24.7852617416,29.1906011167,31.11289244,35.0739682897,34.7316336929,34.587156313,37.0517315605,40.7830961458,43.8697678029,46.404669255500004,49.1412347925,48.4174289535,47.4537237836,48.0831926503,52.7999599765,59.4709345769,64.724177951,67.9069382351,71.2653654619,68.5373629207,65.0413218567,62.336549893,63.4242704198,64.9557449501,64.6977411092,60.2769930261,61.3300681205,64.0155862749,62.4028035941,62.3483523035,72.1092168191,80.1900075067,88.7859248029,97.2858663463,106.1105240434,111.0713081135,101.2815362225,115.587710589,124.2272763697,124.5188130841,122.9170727963,116.6627505976,100,97.234416124,101.8542310833,103.8020332769,103.0645895672,102.3903683466,118.3545887009,122.3796201738 +Central African Republic,37,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.338958093,21.2463467369,24.7794879159,27.9122908391,29.854310261,39.4549124911,45.0098582657,46.8444096806,55.7077992097,65.552079816,78.0545336735,68.6698052574,63.4303299206,59.4549108201,53.1089649353,56.4583078069,70.7318804403,79.619737972,82.1443629036,78.1974946632,92.7346098705,87.6239894078,91.0329265293,82.7372523785,52.3606400649,65.2516095172,63.7704640491,55.9154357229,55.1686046181,53.8064573048,48.3034118519,48.9105614642,52.3558558562,64.7577249829,70.2186872383,72.9171288082,75.7517331954,83.113684499,93.8385126063,92.4363600094,91.8380596535,100.2590593791,98.3944403177,104.2073479527,116.513021329,100,102.815698425,111.6928911794,115.3330083668,112.0201651605,116.154372895,124.5402860558,117.914639829 +Chad,39,GDP Deflator,22024,"Value US$, 2015 prices",6179,17.6450369006,18.9031617961,21.0887400524,24.5775013443,25.1883982247,31.038508558,29.5905483071,32.3514057556,38.7090573661,44.4256386805,48.6358896222,64.0629198398,56.8446144593,52.6070792188,53.9417376234,49.3581272448,57.3535625407,62.8164307589,68.1798523818,63.2783238307,73.798127334,70.5686594469,71.865352046500007,63.8098331448,48.9691547257,59.140658121,64.7380084623,58.5299015194,62.3709650388,54.5192547331,49.653984837,54.9511698686,58.861816837,70.5596494325,85.5928522981,105.5189345801,119.6535239431,114.4887604522,139.5385020493,116.2486694346,117.6690692417,138.8226107302,137.789457153,128.530785735,126.259943737,100,94.9753341342,97.325420681,105.6214373951,101.7113713499,101.3045907949,112.7521769314,118.9384235638 +Chile,40,GDP Deflator,22024,"Value US$, 2015 prices",6179,22.9526915014,25.2178899901,27.5607502235,41.6041586986,39.9339372545,21.3315600131,28.1380560759,34.721151794,36.9776836589,45.9738977153,56.6533547238,63.9556751439,52.8829114237,44.8836805223,42.0192526486,36.3484209404,37.0039336048,40.5366029786,44.0881684591,45.4793983283,48.2773691441,51.0953017044,55.0055087338,54.595517998,59.1323942323,68.4586029457,67.0102915566,68.7004310508,63.787452056,59.1114324124,58.2777793677,51.4047582763,49.3502465199,51.6174438116,62.9252915012,73.4182503219,86.9277777883,92.9363388343,92.8872705243,90.5560631385,108.4583614985,117.9810281506,118.6268275844,118.8219058167,109.2755418504,100,100.9461693759,110.3585197298,113.4617078625,106.1838945351,102.4530455198,115.1019586845,106.6738498018 +"China, Hong Kong SAR",96,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.1979710507,15.4851908266,17.9178434213,22.442063343,25.6201725628,27.285291954,30.1002873864,32.8894259938,35.3963279209,39.0247750006,45.4105882403,44.7201099703,45.1676332674,39.4736629194,40.2193119971,42.5237700302,44.0560368389,47.8810342886,52.0437322765,58.6258192717,63.143118671,69.0794058906,76.2177745543,82.8358938228,88.1538185009,91.7149533609,97.1309316886,102.6220288236,103.8303755766,99.4215971191,95.6319421662,93.8441283432,90.6497461923,85.3368885841,82.2593619878,82.248542516,81.9087292762,84.1149017922,85.3523367702,85.4166762193,85.4558576193,88.6176301508,92.0852578289,93.7593075868,96.4555351188,100,101.5007920195,104.0092119539,107.1930813696,109.4207836225,111.2396852011,111.9568365804,113.1364317538 +"China, Macao SAR",128,GDP Deflator,22024,"Value US$, 2015 prices",6179,7.0613760908,7.8390286016,8.9018433032,11.2614469557,12.0143921486,12.8906410683,11.894896892,14.1027449407,17.0816525027,18.0896676136,19.9922181854,19.497321411,19.4869807139,17.5647204462,18.6439146258,19.3272457629,20.3760367948,22.7801686898,24.7025102813,27.805050275,30.8974553334,34.5696777716,39.8236396772,43.6475938553,46.6380410557,50.4075069935,51.5589177786,52.3565231924,51.317989141,50.623603666,49.5286159325,48.7499395924,48.0984109469,48.1958125494,49.1220572929,51.9290887766,56.0183134244,60.6656221016,66.9076803661,67.8278048984,70.9178389035,76.0780423387,81.6318604035,87.9508876145,95.6549251247,100,100.7341377214,102.5033712881,105.5240921947,108.0877785709,108.9317966184,107.9058072183,107.5010127904 +"China, mainland",41,GDP Deflator,22024,"Value US$, 2015 prices",6179,40.0512474024,40.3405718423,44.2721985937,50.0006136738,50.8658165714,53.0421273389,50.7741542275,53.6236655612,59.9625290486,67.2587427629,72.4184556954,65.1617690462,58.606092712,56.7895837051,50.7508148958,44.1877647617,39.3379213605,38.3460241812,42.9891151911,46.1534801626,38.4049954612,36.8249433106,38.4595794567,42.3981917654,34.1887846756,40.1048136017,42.9055578164,43.7273365658,43.3904651746,42.846118128,43.7286040953,44.6314919287,44.9008204705,46.069218465,49.2733597547,51.7122351459,55.2313504759,62.374055761,73.6119228416,74.7182998254,80.5811256891,91.2507899197,95.584139935,99.4892839698,101.3711906057,100,95.043317209,97.3912019046,102.9752757536,99.8852860046,100.4862502727,112.2267625361,109.8403940081 +"China, Taiwan Province of",214,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,72.36,74.15,76.13,77.12,77.13,80.92,80.95,81,83.09,87.36,90.4,93.3,96.54,98.2,100.52,102.88,105.15,108.56,106.48,105.51,104.85,104.41,102.95,102.18,100.64,99.39,98.87,96.26,96.38,95.14,93.09,93.72,95.14,96.73,100,100.76,99.91,99.31,99.38,,, +Colombia,44,GDP Deflator,22024,"Value US$, 2015 prices",6179,20.0093426574,20.49487816,21.133443548,23.4280033159,26.6238478555,27.5786952872,30.8373898144,37.5912346155,41.3868218198,47.2003755646,54.1956875526,57.7413565403,61.2420901521,59.9304053532,57.2802674225,50.6719737833,47.948210954,47.3659032318,49.0698507396,47.8484242031,46.7346747131,46.916918337,48.2639655147,52.8452257097,66.3326063115,72.9648849188,75.0847453508,79.711059775,73.1979796182,66.9383941914,63.1259149531,61.0498285821,59.4076468486,55.2292837148,64.8652598126,77.5503837997,80.6535609028,96.3968361885,109.6307592645,104.0141255632,122.7400842797,134.1423670685,142.9576351783,140.0805247796,133.6973779406,100,94.3984017645,102.7012390978,107.2977883016,100.5337873707,90.4795124676,95.1081916469,95.5228041747 +Comoros,45,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.1080188162,14.9622921361,17.249060753,21.4499527385,23.5237298747,34.2679477643,33.6855885157,35.8400650002,45.1059907797,55.0303427735,61.3434625609,54.6451828237,48.1376507853,47.8234412709,44.2754686724,46.2344671018,64.3303836226,76.516537857,78.7029025738,76.6406024011,93.2150417564,92.2216263875,91.6402844401,88.0893827523,65.5435871035,78.9706633357,79.559842372,70.2380745439,70.5262177935,71.5054725857,63.5309796018,67.0527131243,73.479859552,92.626970504,105.3776393515,105.9130159784,109.5326014621,124.055790479,136.9463222504,127.1576061319,122.0566273171,129.839123187,121.4328428617,122.454770696,121.2591781759,100,101.9808529577,102.806272603,109.0064772747,105.5279490077,105.2497057515,111.581261346,104.4748523155 +Congo,46,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.357014201,14.0122093158,16.1651056985,18.3579290616,22.3619276829,26.5784058514,26.3201112417,28.3376762518,33.2223185661,40.583732508,51.4393686435,49.5938305121,43.5002711667,39.9827952258,39.0014942565,38.8695703926,35.7207143345,44.2978964746,41.9145795255,45.1412111404,52.337085884,52.8101581465,54.7860582715,49.5113619487,34.5778387217,39.512227854,44.1321811329,40.3029203293,32.264074594,39.5235669881,48.501251226,42.7162560469,46.3644857096,53.4384270613,70.7418068405,84.5304713887,94.974603404,110.6033449525,137.632532716,102.8998629641,126.9619371859,147.8574474543,152.1907866326,155.5325493757,145.219558399,100,96.4081832048,109.464706679,141.6807837142,132.4399153577,114.7035815218,141.2885304939,152.13929974 +Cook Islands,47,GDP Deflator,22024,"Value US$, 2015 prices",6179,10.0108960639,11.2185918814,13.1636407116,16.3938067762,19.0699156164,18.9514982313,19.3042241848,18.8251076743,20.1109379108,22.038013109,23.897154927,25.7141428573,25.0211468468,24.5697753638,22.1499390817,21.2830662541,25.3587841126,32.7486632627,40.9578696983,39.6135318913,41.0188696062,41.7451679867,40.7137679818,43.8174171051,50.0558887205,55.723151674,56.3440145455,53.0459439592,46.6199113924,48.6145137684,42.6647458765,43.0492228829,48.1806497302,63.4622192485,72.5429628429,75.057452173,73.5538974548,79.8863269796,80.4580036302,77.0856905637,90.5735721797,101.4632517484,110.9010421171,106.6740856487,111.797250964,100,97.74772431,99.5479879434,98.8749750003,92.8282341709,98.792689489,127.4270602413,119.1703607443 +Costa Rica,48,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.6542431157,15.0113918718,15.9516001424,18.286104116,18.8847381154,21.761981475,25.3757991123,29.6743211072,32.0215742745,34.9499039738,41.5318125033,23.0758412304,24.725957715,29.019939181,31.2486288489,33.2486922452,35.3737490417,34.7477242322,34.1946642402,36.6530505557,38.6714604414,37.33813212,40.6916311062,42.5151546895,44.5138664958,47.162113346700004,46.9655281317,48.0922715207,48.6786383497,48.6642382903,49.3468623458,50.7384904292,50.913277414,50.8455306239,52.4651688526,54.3470895041,57.3787638336,62.7606957652,68.6522108116,69.1311464158,80.3667825436,87.4102967655,92.0509144128,96.880108546,95.524903312,100,100.0545745185,98.7851434549,99.2959043044,100.0546365229,100.620950463,96.7283721857,98.1385859735 +Cote dIvoire,107,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.4579751299,15.9995233135,17.9929298597,23.0451000124,26.6977003329,31.2798675345,33.4369069282,42.9203492796,49.2525203148,55.9218049026,69.9042088588,55.9714158107,50.1249403991,47.1377167123,48.4669896809,47.3032257105,60.1294932581,66.4588663387,66.812199649,62.3966224255,70.1218212469,67.9504459595,71.3514751471,66.3964677853,48.4582993944,60.4605715898,61.9152022101,56.5739564503,58.0316374548,56.5672037482,49.1179110983,51.40541967,57.6691852561,72.4780493748,77.4332809838,78.5620029828,80.6319640099,90.5436259818,105.1443738993,102.054376598,102.5372094391,110.4084809479,104.6442144421,111.781607146,116.0634771885,100,97.7523584339,97.9299179114,103.0237600649,97.8638948274,100.5899246415,106.8846841222,97.6350090232 +Croatia,98,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,38.5606395056,44.4449464027,56.1610525084,67.7668700177,67.7473925588,63.8711737443,66.8907124962,61.9439821538,55.5270275161,57.4356731779,63.2023264304,77.3940122275,89.1144705545,93.2046314107,98.6813036612,111.9784681947,128.4294393456,123.5223880503,119.814988774,125.3269930516,116.098008419,119.9399691707,119.2163229599,100,100.7041712066,104.6782283202,112.6609608366,108.9538100688,109.8945495551,116.6084903296,112.785449897 +Cuba,49,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.601475594,27.5185173936,30.8850322253,36.6592001053,41.4566433252,43.251386659,43.4247182735,41.1523959206,48.493881107,52.6487906071,56.2600515703,47.5657708601,45.4119558424,45.6552081022,45.7939216764,42.9781675783,45.381423815,48.3934150495,50.8199131003,49.6791967028,54.2574183112,51.5753855798,52.9765214689,63.0290768315,79.5943991701,83.0929089048,63.350330403,62.4959353326,63.3106665436,65.7080303842,66.8518544767,67.1548916538,70.1988896621,72.2856027568,72.7248618911,73.001313942,80.5673675576,83.4607397196,83.1722100108,83.7000337723,84.7061487974,89.0364185573,90.9437588269,93.3608895501,96.5942081899,100,104.2397519412,108.5294119326,109.648721263,113.5379599792,132.333891866,154.2421456988,162.0786028893 +Cyprus,50,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.4890267438,17.0880368409,19.4463623999,23.0792351373,24.6105780534,25.344924432,24.8362933692,27.3415795814,33.230711598,39.6232471834,45.3440734911,42.4660896033,41.4382266691,39.3905080466,38.1185598773,38.7233300178,47.6670873354,53.3516787146,56.8442140568,56.1831786233,63.7848268014,65.4006955976,71.6217288296,67.8440205183,72.2199383724,78.4799349241,78.153623712,72.5025255077,73.3674985705,71.5835000733,64.1574602092,64.3652991395,67.986312721,84.5568044673,95.8995299852,98.7915913142,102.9840902898,115.4992800237,129.0127524029,122.6735748782,119.1530506272,127.086317099,119.4343604649,122.2618729891,120.5349386733,100,99.1633874202,102.3229265444,108.0410891341,103.7713284092,104.5974763165,111.4204577932,105.5947458314 +Czechia,167,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,38.6576442896,43.9835912548,51.9110178851,55.7828477254,51.7399760473,55.7889784278,53.6810614388,48.9631163775,52.1173706194,62.1990920975,73.11956847,83.5084670733,89.6667783465,95.6928496323,110.3194999924,133.7758902499,122.9018239737,120.9264780808,130.4825880117,119.6532193622,121.3289976536,117.3410126142,100,101.7987619152,107.8214186005,118.9689025571,117.1154576593,120.7096521509,133.5466017505,134.5631032227 +Czechoslovakia,51,GDP Deflator,22024,"Value US$, 2015 prices",6179,17.9904268666,17.9088876749,19.4912078102,21.9882010567,22.2529398888,23.0643463897,21.9148900788,30.1033465927,31.858672293,33.2393262097,33.798683967,35.9220980343,36.1563016989,35.0863323475,30.7208589591,29.8692751151,34.1681670993,37.6019622719,36.2320790934,35.3880098128,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Democratic Peoples Republic of Korea,116,GDP Deflator,22024,"Value US$, 2015 prices",6179,64.738426044,64.7384260413,64.7384260411,64.7384260424,64.7384260422,64.738426041,64.7384260422,64.7384260409,64.7384260425,64.7384260416,64.7384260414,64.7384260422,78.4172419982,75.5425251561,69.4255082187,65.983463409,73.5827947998,76.485403345700007,74.3891256298,81.5220114647,79.4107150453,77.3456931741,75.7632091517,68.4058306904,54.0302735263,32.9832506129,74.5133781885,77.6841534175,78.0185315026,73.594817011200007,75.6306501234,75.7372268522,74.0787832842,73.6962354138,72.9616671907,82.0483629624,87.5629299222,92.5434008331,83.2812745341,75.8423397933,88.2957895913,98.553127322,98.6329763884,101.6214456057,105.616384046,100,99.2531009405,106.3785144523,111.7650391716,104.0105128279,105.7190967224,111.80552669,115.32618788 +Democratic Republic of the Congo,250,GDP Deflator,22024,"Value US$, 2015 prices",6179,18.4770649481,19.4861456167,21.4657407414,25.3027665121,29.9193949184,33.5899598693,33.4284453884,42.4493694628,63.6547063825,62.1161380213,58.0626860752,50.1482579398,50.2422524824,42.0109502319,23.9480710884,25.4993468034,28.1348757574,23.3622828028,26.6158522078,44.9918568992,51.1242045298,52.6873339746,53.9788398775,81.3964354312,45.9326746288,44.3300265817,45.8337298992,49.9601231699,53.1254409204,49.3374764552,50.455275395,51.5919822875,52.3960395328,50.8200544973,54.8553827282,60.0515440996,68.8710335466,75.062974642,83.5466899424,76.5473878924,82.6479171215,92.6574246286,98.1333933639,100.8487439132,101.2530743089,100,103.8883127508,93.488594108,110.6880844375,106.3660382139,100.1063237819,110.4609088971,114.3302387186 +Denmark,54,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.8656432755,13.9607082377,16.3514673369,20.7784249825,23.3596743222,28.0866658483,29.2023172645,32.0158370805,37.973199904,42.6177207203,43.2872100999,37.9109528721,35.6977362806,34.9282370227,32.6800398938,33.3110305917,44.6360867852,55.3076404394,58.4184082912,56.465229665,68.4348158957,67.9713603402,73.221622763,68.5599541927,70.9840683614,81.6240398488,80.4491861295,72.0563647857,71.8951599011,70.2202653144,62.4333387068,62.1624886285,67.071839654,81.5704509311,91.5733459578,94.1428769866,96.9075589772,108.4381242746,120.5759551409,115.2731444988,113.4208854745,119.5745738036,113.4591162902,118.0572470102,119.3574400523,100,100.1978321133,103.3628914513,108.8899049937,104.1780181847,108.9744954749,116.5322848967,111.428536673 +Djibouti,72,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.7374933213,14.616132822,17.0028312082,20.2307809856,26.3921673288,26.3419588183,28.9346329956,35.3623111376,42.0164698246,44.1361932125,48.0814726086,49.5995415445,50.9773541166,50.8739965155,51.1393938763,53.3675920335,58.3989004938,60.2864962659,63.6385715714,67.1769697271,66.2317861854,69.7843929033,68.0852006943,65.0197220379,70.6024479842,66.6943718839,68.4572021319,64.7436014516,65.734878363000007,67.1434828988,69.1324615875,70.5531138091,70.5534673897,71.9737708622,74.1817428197,76.4585175485,73.5876837205,77.3117486825,84.7700759159,83.3982326035,84.851403844,87.9169438477,91.1395008798,96.316279071,97.5990807213,100,100.3991028617,100.6519149083,98.091969616,99.6990628329,106.5558052097,109.05827195010001,110.3660769077 +Dominica,55,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.4667579534,17.1371856615,17.115513428,18.119267494,21.4384531214,21.9176393513,19.9855887259,21.6913447192,24.439118543,28.8282322135,33.6451915553,34.2366086192,35.8503834297,38.5259944958,40.9049249621,44.1512760307,46.6419294089,49.2981381651,51.5154905193,55.8464253177,57.6379645586,62.0476885639,64.7696440885,66.5052830416,71.5859721127,72.1471588279,74.5027261065,75.5791923069,77.4989891446,79.4646656867,78.0480247707,79.6748151622,80.3047151817,77.7997918988,80.7499650753,79.5805215967,81.4642566045,82.7066261369,83.9541547858,90.6737730291,90.9430467016,92.4757297677,90.6617782437,93.8952186585,93.8496032287,100,103.6978987027,100.5105694858,103.2497742338,107.8787572723,106.4651010739,108.1397640149,112.5158816628 +Dominican Republic,56,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.3480482206,24.63632205,26.6138549376,27.8127848569,32.7382162445,38.2852289139,39.3840569278,43.551153105,44.0058788469,48.8970628218,54.6085115447,57.3923357326,61.8497737016,64.003807361,75.9088796928,33.6196910406,39.3084669612,33.3831689999,29.8311077802,41.1905098783,49.3391299168,50.7362343233,53.2430507385,56.3436668555,59.7967572571,63.3167061766,64.098039421,68.2945769522,67.7790497581,66.5264315601,69.0061147132,71.3108286816,68.6032767635,54.6610129436,58.8324614507,86.0006505311,83.008878886,88.3214284031,93.1532416582,93.0802873177,95.0097043981,100.184234952,102.3364132795,100.8028010335,100.9389574034,100,99.7220018652,100.7086715058,100.6750863694,99.6261708341,94.6791723342,100.8003029407,115.8101825359 +Ecuador,58,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.4926760002,14.9293401366,16.4446152811,17.6282138618,26.8794227349,28.378173366,31.0723158691,37.0881393414,37.937419622,43.4817689982,52.8893506969,61.0826758254,55.4739582367,47.9046335684,46.0261228644,44.9030211959,38.755607028,35.3834762405,31.2741096524,32.9528971075,34.8686563569,37.2708698065,38.8747208442,39.9017019029,45.8904363565,48.287088822,49.0066412008,52.4401312854,50.4564893283,37.1864362516,34.3178497321,44.0690191154,49.3948810102,54.6273254333,56.9554559976,61.3596568149,66.2689882372,70.6762088062,80.4629688256,80.9904338075,87.036434459,91.9650089874,96.5496974133,99.53795787,102.5546578141,100,101.9016467755,103.8850586394,105.7745965153,106.2986567829,105.8744195922,108.6052712486,114.3231354417 +Egypt,59,GDP Deflator,22024,"Value US$, 2015 prices",6179,28.853841186,29.5603146046,30.4347394639,31.4087673069,36.2222749241,38.5549760548,40.0496443046,47.4822452624,53.8766118982,32.5541448451,38.1467386248,24.6440877602,26.1666654238,27.1915580255,28.172549333,29.0634907568,29.6488008302,30.3819593472,31.4536590994,32.686752052,33.9103249629,35.0570912957,38.3916576647,41.2528798424,44.3179527203,49.3070643521,52.75815015,55.1579997396,56.647898314,56.3019378355,55.621772257,50.9435878333,47.0838742007,39.0638760703,40.1175420079,45.804760983,48.9004000744,56.015322598,65.1996161176,71.0216690308,77.1307417114,81.6093307357,95.5276686408,91.539638195,98.8551311473,100,81.5113602302,56.4923656494,68.6553985835,82.6441967033,93.4196747499,98.4164471053,88.7350436674 +El Salvador,60,GDP Deflator,22024,"Value US$, 2015 prices",6179,10.0668884504,10.0981520219,10.2017226721,11.2263648718,12.4890147763,13.4310183443,16.4658955841,19.504564604,19.6653271188,22.3894782354,25.4033371123,26.8550538239,29.4981396942,33.144051167,37.2020287076,44.8498069855,31.6661604328,35.0402903088,40.7788212562,47.5279380565,37.9921419237,40.8112007072,42.2084577294,45.8351516002,50.3299840528,55.8300970237,59.5010063355,61.5162139407,64.1172235792,64.755577646,66.8760126289,69.0936093661,70.1318751698,72.2140043234,74.1755293686,77.3411363762,80.6875034858,84.2232997764,87.1962271627,87.1440817839,89.4500630689,94.7404345914,97.1553013437,97.7153924523,98.7049049558,100,100.6547604747,101.6423780391,103.3868164966,104.265961216,103.7561093305,110.0828377316,118.358719079 +Equatorial Guinea,61,GDP Deflator,22024,"Value US$, 2015 prices",6179,7.5524235401,7.5199936943,7.0380457955,8.3419951343,8.6076902229,9.9986525617,10.3567006615,10.6915121683,12.7452361555,15.1692758069,15.6667521685,13.9407172535,16.1872102803,17.41355163,17.3101703598,19.1990062976,24.9237516789,29.0641074189,31.0576393285,29.0205407711,34.8042574788,35.0516185311,36.5250929248,32.9172195797,24.8749169639,29.0402008482,34.0863177542,33.539864904,23.8963557117,32.4575658315,47.2813411433,41.1699010262,42.1583123978,50.5195112095,61.9009916451,86.1581368722,96.8693787446,108.8968462521,139.6708399723,104.8674266107,124.8794113144,153.4168633397,148.6831289008,151.9967375137,149.9477196812,100,93.5650074803,107.6579752015,123.2517973583,114.2768957858,105.4709465768,127.5685312844,119.0864978658 +Eritrea,178,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,49.0259924097,54.2397217427,45.4935348035,52.0167503368,49.8027507556,47.764259769,45.9401136567,40.8091298059,49.5938701584,44.204216927,51.2068015934,67.0387355014,65.4461251076,56.393685831,60.5037754912,67.9369142266,85.1074780734,94.1142105207,97.261645919,104.2381143807,101.0818260799,102.6827372302,100,100.5420809791,97.866392969,91.2071868765,86.7954301744,95.1674639565,100.780527623,103.7843125698 +Estonia,63,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,40.9066520303,41.8762786009,42.7705145818,43.6673698152,44.4669053254,42.3870815816,44.6884195469,45.6214591736,40.915840637,42.4246328769,46.8053291602,58.2946853158,67.1381351108,71.1817859353,78.3090994854,95.9255423354,109.5343177457,103.6520222763,100.6297083613,111.3374134742,107.09660926870001,115.1320460893,118.3990011343,100,101.9187207393,107.8237732307,118.1706476742,115.6112391802,117.330805112,128.7816431393,133.6521246612 +Eswatini,209,GDP Deflator,22024,"Value US$, 2015 prices",6179,35.7985455621,42.879887714,41.8154820451,52.4607021202,54.494456032,47.79286343,43.1963246742,47.5500913201,52.5627217439,60.9998725092,80.3215542402,83.073691387,76.0268912045,81.1939157639,64.7838725763,47.6418113912,50.6809299282,60.8981046607,66.1013556421,62.4470743738,65.7669233758,68.5560335069,73.6018668687,72.2488321423,75.1915569518,85.7584392988,77.8965550148,81.1721118862,72.8336943313,69.0057496372,69.9969012066,61.4700483595,54.6816286369,80.7693585647,98.2482581199,106.3424607097,103.9046740626,104.8740606844,98.7635985859,105.6946103707,126.2434559923,134.0865757726,128.9745533303,116.8356577324,111.3614848233,100,92.9984000457,105.1369266136,108.8521508715,102.2143557038,92.0391086335,101.6187531971,99.9625567896 +Ethiopia,238,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,60.8539749026,56.9301576687,56.943692071,54.445511912,54.7796647616,51.763521589,46.6860861422,48.2276225375,44.1608908909,42.0138472822,47.2025016332,48.8446140681,53.4772230547,59.4344816509,67.5923854362,82.265648255,83.2441854381,69.0222060944,70.6608021834,90.0681179226,89.8070349828,94.7844518243,100,106.351105728,103.30519152870001,101.0146267236,107.5721387896,105.8633857151,102.9705903859,117.1881590103 +Ethiopia PDR,62,GDP Deflator,22024,"Value US$, 2015 prices",6179,28.9642043547,29.3507112934,30.5882086637,34.4411308582,38.1737711879,37.9956479055,40.5869346163,45.6604493839,49.2271438763,51.2003716394,51.5547393106,52.3906615162,53.3131449594,55.5062890784,68.9761030592,85.8202673049,83.8375753986,82.1303549044,78.0743236139,78.8863017002,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Fiji,66,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.295547182,17.1296848465,20.3646959629,24.6098994531,31.4288013817,37.6261885708,37.5857943686,36.9785292889,41.7910866006,45.8086221628,55.0027130856,53.062522633,52.4542153617,50.7928600407,49.2056454502,49.6193141721,52.5595157308,51.2928357329,47.4996365773,47.3978609829,49.4541202322,52.5923750168,56.0468406937,58.8229910227,62.4559943614,65.7575558829,67.7902878533,68.0606949362,53.138749666,57.2110973872,50.4383620475,48.6901762199,52.3483194451,65.0387664828,72.704377029,79.4611488275,80.5227765337,89.231016818,92.135049389,76.1358551112,80.8677912355,94.6335045243,98.1988180435,98.9093327672,108.5680522602,100,102.7142924543,105.7924551551,106.5506633354,105.2597891145,103.5765208727,104.7481302831,103.7875964923 +Finland,67,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.3301348189,15.4426028371,16.869237082,20.8256819475,25.7416275507,29.9898740759,32.3059589426,33.924332629,35.7344086216,40.8968996784,46.94189027,45.2969416554,44.2204423765,41.4032868359,41.6122445081,42.4556564716,54.3710543071,65.3940025132,73.9996746907,76.8409114053,90.7210280214,87.0717151424,79.3050252487,63.2872668371,70.4864342553,87.8598580272,83.454932232,75.3798886887,75.4955042715,72.9628945099,64.1298854967,64.3448410401,68.311959131,82.0767921367,90.8421827521,91.828008579,93.4848700619,104.802133375,115.5719577204,111.5487535615,106.6915751195,114.9228741433,109.3789890537,115.9208028139,117.7228565649,100,99.8243556273,102.7829863275,109.59897655,105.4481189994,109.1818575887,115.9385102012,107.6088956858 +France,68,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.3084540069,17.3130737015,20.3095639166,24.8170455716,25.6943950586,32.785283262,32.4154798781,34.524659716,41.00585605,47.984044653,53.9577015308,46.8589945903,43.4352558928,41.0703086878,38.3484328003,39.332127267,53.6050362305,63.2856116363,65.8960248105,63.5463391763,76.4346529761,75.6469413172,82.2099692233,78.0950082723,80.3957243143,90.4302479524,89.4358506713,79.0737292545,78.975078726,75.8266945733,66.5915529914,65.9771469538,70.824261406,86.5132485486,96.7232680242,98.7488148129,101.7603798774,113.8611559337,124.7452509641,118.3829332957,114.0710021424,120.8654556004,113.0105032534,117.690568958,118.2798181327,100,100.2583458153,102.9250360229,108.6641388994,104.324170142,109.4055507588,114.7995918796,105.3101212489 +French Polynesia,70,GDP Deflator,22024,"Value US$, 2015 prices",6179,18.0942451758,18.878938144,21.7819769152,26.6935077863,29.1304575252,38.0778048303,39.861070560899996,42.0123090792,48.3426020338,57.777841943,65.5397890104,56.4945251915,51.6323534248,50.8678885473,49.8174401828,51.6540993866,72.7666383216,75.0727222436,77.0776760058,74.5324556428,87.7442118589,85.656640865,92.4080679953,87.3651851153,90.2433622888,101.1502616975,96.6588117262,90.8567484249,91.4686398167,87.2376513262,74.2336478195,71.9568674475,75.0084053835,90.7909790716,100.2148182859,101.490507729,103.594264956,114.8589978691,123.2726058636,118.7626549287,112.9003596235,118.5491901011,109.9516967264,115.996167585,117.4859938101,100,100.8636691401,102.6988960184,106.1673283967,100.8387192818,103.1404259814,106.789566845,95.7503674989 +Gabon,74,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.8942566819,12.7160289164,12.8820834207,19.632475513,30.0773619868,35.2629070806,36.2615080549,38.7218657556,43.3655271307,54.7343140619,75.4022129304,64.7341652949,62.5725955396,55.549576558,54.243001366,57.1348198332,54.5315342642,64.4426717711,57.2272783872,56.7264801378,70.2392875047,65.9075514653,70.3960371346,66.4623474641,48.8469547375,55.0594623224,61.0107294413,54.1868471261,44.3438302175,51.0744107384,56.9121987387,50.7534459086,53.892584774,63.8113534097,75.7324677701,91.4806593146,101.7198440029,115.3217740004,148.9248038015,115.9943000243,128.9065933899,152.4595038637,136.7667618228,132.6269516456,131.3984878435,100,95.5770896279,101.2719027227,113.4661907937,109.229972253,101.0039009314,120.3200105875,121.7049471634 +Gambia,75,GDP Deflator,22024,"Value US$, 2015 prices",6179,44.5292177486,46.7283365871,60.6890589021,94.66040584,117.0410457185,132.2703212317,123.2528657627,128.2067773422,145.1487761547,164.4140463127,185.5879282948,166.5382352444,156.1952761331,160.039714819,152.3407747608,185.9136310826,123.6575912958,134.1744155468,160.1403623768,160.7127446798,169.3586504746,160.5875763268,160.5191878692,164.7238055812,162.6081705123,169.7170670663,175.6918639785,165.7570207088,167.2060956064,151.7322078319,137.3801654694,114.0261811073,95.480157136,78.611090347,85.5416145656,93.5943160921,96.535981257,113.7344183409,130.6308836213,113.7143905904,114.2677137835,113.6129179982,108.3611408919,102.4024619372,92.8294193331,100,104.4337960541,102.1891237725,105.7889212614,108.1120668381,107.3910930394,115.8566906852,119.241141357 +Georgia,73,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,55.4192835807,56.7329088034,57.9443967878,59.1594332682,60.2426234824,62.4648241726,62.3604744353,46.9740704346,50.3753250287,50.6039200253,50.6052383096,53.5584943481,65.0122677585,74.1983019743,81.9235433136,95.5788981915,117.3772340374,102.5129535661,104.291773787,119.8677544591,122.939023213,123.6948526827,121.4477626153,100,98.3974629464,100.6766090548,104.0483796818,98.4198707324,95.7077295827,102.3215700858,122.7375391238 +Germany,79,GDP Deflator,22024,"Value US$, 2015 prices",6179,15.4364029039,17.3356878478,19.932809757,25.2796788446,28.0080515846,31.128374981,31.4205427863,35.1264771029,42.0498934185,48.0531895928,51.096868094,42.8119086352,41.6993572191,40.7434645072,37.2804096455,36.8048188585,51.3944675223,62.8857720838,65.4478197314,62.8977167395,75.6726792186,75.9480181997,84.9913697816,83.3966593899,86.7086065924,100.129016172,95.9362609987,83.4784259102,82.8297617766,79.6673630184,68.5571657247,67.4562891462,71.9230450074,87.39130158,97.2174153092,97.7624767471,99.0102039609,109.934496897,118.7280844632,114.6715626892,110.0308124132,116.7249658648,109.5001549816,115.3715306593,117.44900931,100,101.0614223163,104.7631732762,111.7166728971,108.1504887195,112.3437320586,119.8885193816,112.5947606609 +Ghana,81,GDP Deflator,22024,"Value US$, 2015 prices",6179,46.5439537546,48.1152876249,43.126894199,38.1651108151,41.5994725881,45.4526703494,47.9541064319,50.9336708994,54.5162591169,59.0392316814,64.3722908787,70.463290279,74.8167008384,77.7471117991,80.5519985509,83.0994113317,84.7729516161,86.8692256553,89.9334693576,86.46758028,99.2578414384,106.0001365888,100.3476726604,82.9505234766,73.2879466795,83.6287039912,85.743667506,81.7920292122,84.8208499219,83.7870757286,51.9102220799,52.9650495037,58.6379895148,68.9803846871,76.1871465829,86.6898222633,98.4001180722,114.3858454529,120.7579297449,104.8820465362,120.3885775951,129.8082683368,125.8984699906,133.7321055332,111.6910584235,100,108.5909331775,108.0048872433,113.2730675886,108.0535821321,110.1583905011,118.0518939662,107.5394243199 +Greece,84,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.9198955862,14.3340226258,15.0572537559,18.4363261743,22.3531405576,23.6677832717,24.187065316,27.2742276969,31.1133576472,37.0871949493,38.4341907843,35.9498582316,37.9320673008,34.7052505919,33.0579909476,32.1108833506,37.6662541971,44.8703854268,49.9812973629,49.9850615581,61.8125474559,64.3946468146,70.6831141845,67.2542786734,70.6589491848,81.3028754598,84.2212166347,79.1099275206,76.8250517687,76.9730311015,65.4114399073,64.9482800957,70.5950633059,87.5828479022,99.306605061,101.6885886847,106.164074018,119.7916111504,133.7779256155,130.1306668903,123.8446273435,131.2356064073,120.9637039343,122.4434644614,119.9785407249,100,99.1601061994,101.558421924,105.9924691363,100.6997625486,101.8591549502,106.8377617681,102.8403880914 +Grenada,86,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.4755110197,13.5765413515,16.8798005155,19.1334732831,18.5912303892,22.2024957475,20.3953539135,21.614047055,25.329873834,27.6596729784,30.1356704256,32.0555071151,33.7510286695,34.6406615024,35.9347052954,37.6381020892,39.1494766141,40.8212393629,43.6084101773,45.0244486119,47.1279078434,48.2919085029,49.3577375384,50.6390166651,51.7158031048,53.2947658093,54.7193799761,56.1011632462,55.1587525262,55.5405425233,72.4834904934,74.0374912566,74.315571622,74.2561832175,75.7642168187,77.6339175364,81.2478746031,83.1329713939,89.6556828636,89.6870588217,90.077546401,90.2798164159,93.8246766872,96.5670485019,97.3147679591,100,102.6440716892,104.2107968429,103.4771828428,106.9204928848,106.5987698539,107.9007380267,114.1218557777 +Guatemala,89,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.7667029362,12.6046691873,12.4345846441,14.2362173019,16.4677120274,18.6281419962,20.7689346971,24.1860192643,25.5148514158,27.7088486881,30.4849369369,33.0822733512,34.7363109177,37.0062407222,38.5430598384,45.7709986331,34.5337994752,27.9718241045,29.8061429039,30.7508907935,27.1295851636,32.1794112943,34.0706034017,35.7948151315,39.1853938875,42.1465243171,44.0895396961,47.6351620266,49.5816104411,44.9643052726,45.6994782697,48.5724757793,51.9494009848,53.44971107,56.6575049434,62.3002950089,65.6810120591,69.7197654903,77.4450547152,74.278911406,79.1042545303,87.5477733801,89.8999819477,92.6520762942,96.8377070703,100,103.4488229314,108.8668205188,107.7405527095,109.0222463341,111.6351621928,114.5182200475,121.4286537957 +Guinea,90,GDP Deflator,22024,"Value US$, 2015 prices",6179,39.8469560805,41.8668650224,43.676665535,46.0700947082,50.2158018405,54.8670967547,57.8866451001,61.4833546153,65.8079897314,71.2677871737,77.7054611927,85.0580644787,90.3131792286,93.8505542715,97.236405787,100.3114537987,102.3316276615,104.8620944015,108.5610224166,106.4718338651,111.9087083009,115.3506706975,120.338760093,113.9590844933,114.8079356432,124.4994359779,123.8891707236,115.0101542472,100.3832586109,93.0221425836,81.2423386703,74.7785879947,71.1589240133,82.1426172438,84.7159884111,66.4634898527,69.2486159465,96.504285409,102.7391311377,100.2162778948,97.5579842018,91.4528765075,97.1991128675,102.5515219238,103.6402255876,100,88.282564981,96.0469443291,103.7077489487,111.3252102453,111.9057559694,121.9976490732,153.7105314502 +Guinea-Bissau,175,GDP Deflator,22024,"Value US$, 2015 prices",6179,70.8135105783,73.0842759157,80.4255510598,98.0130127506,103.0079013397,109.8436193046,94.2216329633,87.2536324925,89.0882706255,95.5793736095,107.3824521194,117.5750004429,92.3866677014,96.0052568756,99.4688437135,86.2937093329,96.8539552793,99.2489695879,87.8340467702,101.1002869248,104.8848040337,108.4317580133,110.9028205394,113.5315940079,115.9559745816,118.3874562615,76.449072015,55.5164963782,60.8629928485,58.0690563923,51.9890391913,53.4088705765,58.1088243868,67.5353050666,73.2695194132,77.6393122742,76.5391351076,87.1642413295,104.9258704655,97.0619967768,95.2810798453,114.0406848286,104.5083588756,106.9892680154,106.7496711881,100,105.9266898413,114.526723378,116.6938393645,106.8073531498,107.6360578064,114.7394799731,110.5238630419 +Guyana,91,GDP Deflator,22024,"Value US$, 2015 prices",6179,33.3536251769,34.3600249827,35.4817629011,37.1922045472,48.6839247737,51.8617628608,44.5149887501,45.2586633263,51.9473194294,55.356783171,61.8818106724,58.5416016008,57.244025898,61.7978666011,59.5266582196,60.5207116039,68.6988309093,45.0887683715,56.2874369807,54.4425989728,58.4943723614,48.5407971186,48.2917716324,55.687656563,59.9793810154,65.130318707,68.5137227103,68.4846281655,66.7352196914,62.754357872,65.2703593119,63.7883962526,64.3629516647,66.5327682456,68.2903145141,72.9305071373,76.9137817328,82.3413196125,89.639000597,90.5317730367,94.2731875698,96.3638796494,100.7512958201,99.7052063568,97.1072211995,100,100.8981759265,103.0261264015,99.4652254258,102.0257928237,75.1972588916,92.0903439558,111.4112563498 +Haiti,93,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.2401495553,11.5632375022,11.7416891818,14.0651377795,16.1051761832,19.1939020662,22.8332506833,24.4826634942,24.0165761341,24.767728055,29.5351021679,31.1166759219,33.600297625,36.6614574867,40.8891243217,44.9726856681,50.3366322369,44.3972319153,43.3086305527,46.6956728016,52.2971690097,49.6644687706,36.9682562188,33.4421089985,44.6760954646,51.5715381887,54.5789387183,58.0029523054,65.7761581187,69.6853160869,61.9172816592,60.8882358307,55.747353633,45.7042819034,59.8058226347,63.8472285388,68.3257073395,80.497982643,84.0588517456,88.6737273399,95.9847439289,99.0119230382,103.4421600799,106.2397280955,104.255533105,100,91.6015260506,102.1187244262,103.6935015194,94.3389871352,114.741352763,134.5216164856,135.1539303767 +Honduras,95,GDP Deflator,22024,"Value US$, 2015 prices",6179,20.8032488415,21.1620632718,21.9797763817,23.1548804617,26.576925081,28.2738088261,30.6861841546,34.4297386765,36.1723639666,40.3278422706,45.6558219059,48.9268314694,51.095333868,54.6537510042,56.4969769427,59.4622035454,61.7768825807,63.5253716884,67.6431249311,72.4288334069,42.6967448337,41.6173958791,43.9086153041,42.3786912135,42.0372706775,46.6004523213,46.3567294799,51.0264272044,55.3358522996,58.1358546309,61.0607500848,63.2912194872,62.653206159,62.7780415476,63.6682921936,66.0321449665,69.3325343119,73.9265901916,79.6493534269,85.78479312,89.7960148208,96.6939855569,97.1503576979,94.365118698,97.7855293211,100,99.6378222652,101.2435454672,101.4199470505,102.9947474737,107.446329324,114.1550925348,122.2078896847 +Hungary,97,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.7287042971,13.0443230033,14.4199134049,16.7043755024,17.2885938893,18.5630118547,20.7900920232,21.7522190847,24.3137475828,27.6507584971,31.937253637,31.8385838792,31.5284670562,28.4079255063,26.8295473826,27.2374512362,30.8999506687,32.6383832177,34.9737495409,35.1946173172,41.622820984,44.1423861247,50.7490468175,52.8813481133,55.2405205015,58.574990095,58.8040947462,57.7919425507,57.2806632749,55.992234003,51.5659993841,56.40064146,67.7261189679,82.0958678154,95.4503134153,99.5104299839,97.850554112,118.2156967435,132.1846821235,117.1585920371,116.8892494502,123.2261861816,113.2450363473,117.1726571363,116.8471234868,100,100.5319893324,107.2850428525,114.2423262124,111.2730756622,111.7354548071,120.6804631378,113.1901455964 +Iceland,99,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.1404666815,15.9155641429,18.7780428604,24.0887101393,30.0134661959,27.6903602979,31.0098034621,37.6964942339,40.4404224058,43.8109993176,49.0951456321,48.6411651203,43.7113463123,38.5333040511,38.3229091032,38.6505487507,48.6259672118,61.9850153545,68.6300693456,63.587418081,71.6740418128,76.7317130778,81.3790938518,70.5413838689,69.9551918195,77.9025014633,77.6629990617,74.8450193618,78.3139762525,79.5111693617,76.1034948142,66.7561264391,75.1196763067,90.2040701528,101.2165591596,116.2620057514,113.3274556199,129.5441387868,105.8004524697,83.3907703734,89.7151944947,97.5089615639,93.5028984616,97.7587740541,106.5260375954,100,111.6625099561,127.4483030878,129.0547305594,119.1115788637,111.7325762489,126.2974283752,129.2796522391 +India,100,GDP Deflator,22024,"Value US$, 2015 prices",6179,30.3515634373,32.0021479652,34.9921579119,40.4452573299,45.092250751,42.896514299,42.4968353046,46.0321150356,50.3063331159,58.69892114,67.6422147175,68.0780476095,67.3895223752,68.4900122336,65.6960268079,64.6934009316,67.7594943384,72.0758309089,72.6531495527,67.5742623215,69.323065162,60.6909695674,58.0290892451,54.1864839071,57.921905841,61.11919515,60.1709411961,62.5149861631,59.428092065,58.6964625438,58.2826775123,57.294971405,57.6832132263,62.5214064001,67.9488635511,73.7486240249,77.8143861433,91.184968295,94.6326456058,91.0410039958,106.5203954986,113.4790609089,106.9728957084,103.5870307428,102.7734494866,100,98.5623670924,105.7375855177,104.5831022002,104.0084913649,104.3798470777,115.0647017961,117.2051031563 +Indonesia,101,GDP Deflator,22024,"Value US$, 2015 prices",6179,15.8319038381,15.5351141982,16.6641985049,22.1519921843,32.6322097,36.7013022129,42.0089336826,47.4728354658,49.4450994926,46.4853288445,59.6593990702,70.1651967046,70.4546008945,58.5388910385,56.1599159598,54.6393657534,47.3066880727,42.7594742338,47.2680739206,49.5140988161,51.2323343777,52.6819881503,53.3308045792,56.4760994206,58.7934706591,62.0789367829,64.7668523467,58.6980153732,29.8911688267,43.5008725859,44.4801824284,41.7269657916,48.6939096965,55.762015053,58.0806820378,61.1640690315,73.9358466932,82.4248039655,91.7823479056,92.7681098144,114.7846587155,127.855152866,123.9464145362,116.7371457928,108.5263588864,100,103.0630728995,106.9047949505,104.3128372842,106.6489685599,103.019226131,111.3080512049,117.5089143638 +Iran (Islamic Republic of),102,GDP Deflator,22024,"Value US$, 2015 prices",6179,7.8347317908,8.6204779134,9.4048973278,13.8189254515,22.2812599957,25.2426489079,27.9630584537,33.8931221213,37.6493593502,49.5956783583,66.9361231167,76.1996519743,76.6558551949,85.6628391041,96.7530302751,43.7359732439,46.7852817876,55.807744495,62.6331760053,58.1699871224,54.1984933905,52.4490016401,52.9886732944,58.4591563725,57.0428434111,55.7003094637,56.5360176206,51.5967103833,48.9605113887,49.5437093526,45.0048879294,48.0340099676,54.9189174555,52.3843972262,62.079025636,71.6855590127,80.285327436,97.5299929522,114.651682189,114.6260904115,127.781329383,152.7268136235,158.4086465536,143.2575097749,111.6136978024,100,102.664274866,107.9738967041,115.4319204475,117.5027087141,119.035991489,124.3840313385,130.9831329004 +Iraq,103,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.4739451849,13.1062703585,13.6728218498,14.422076178,15.7198747706,17.1759457859,18.1212044518,19.2471413301,20.6009526795,22.3101224811,24.3254130009,26.6271188117,28.2722134382,29.379575875,30.4395044207,31.402137056,32.0345451621,32.8266986039,33.9846346132,35.3169506183,36.6389805344,37.8780234923,35.6112202347,17.1193798022,14.3552637066,15.1446621383,17.7501525803,15.9194290906,15.0564892916,22.3436111472,25.1060848131,25.6716997945,27.1919559886,38.5719290043,39.6073369211,53.1133781702,65.2252366875,87.7582528455,112.847709331,113.5710002074,114.93590936,143.3131258203,147.6222722043,147.6272125063,143.4297212273,100,87.7927043056,100.4846023113,118.9023080387,114.7625256721,101.9408093524,111.8324397173,132.933092075 +Ireland,104,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.3678394858,13.8625035229,16.1313782433,18.2406007064,18.4650006738,20.9909218867,20.6349909746,22.6895534079,27.5673318337,33.4482191478,38.5204158984,35.4347141714,35.9911034955,34.8878745906,32.3714419454,33.219917314999996,45.0403017929,50.8327647215,53.7980243229,52.8199407385,61.1904197572,60.6174017788,65.8825764262,60.1324260208,61.9398669599,67.7036993296,69.1121155151,68.058553764,68.1164183798,67.5427851561,62.4249077872,64.7903816793,71.6757917503,89.3172644121,98.7703079268,101.9633508219,106.3736377562,117.4467850871,125.0640836006,113.1214060423,104.7308638343,111.8260551897,105.7185876477,110.3940635648,110.3701740101,100,100.4630698709,103.7234562642,109.5975939702,107.6028426489,108.068352406,112.6403552022,105.5997188424 +Israel,105,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.2700584064,13.6075414705,15.9407937214,19.417160963,24.7920023009,23.7872819748,24.9830149177,26.8345701015,25.1023791119,30.467468452,34.0436512692,34.2809541447,36.6942498202,39.5884602248,36.7937997455,33.3607554847,39.6909531647,44.5054563784,52.8926782004,52.3838219935,57.7248046175,61.3446047075,63.7105651064,61.4980597919,65.0490323046,72.0542465154,74.4278585495,74.5898810595,72.3613339568,70.5692373706,73.2631489953,72.2835054287,67.0712738421,69.5372169137,70.7273472935,71.4524460775,72.990063453,79.9571617125,93.4802511293,88.6884110127,94.694021547,100.2891881139,96.0944294936,104.4008388221,105.9836548613,100,101.7720662693,108.5843836,109.8222796083,112.7094499472,117.8431683575,128.8551432799,129.3321249927 +Italy,106,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.3946435185,14.4636176349,16.2513402818,18.3285048936,19.7570368409,23.0236796795,21.2108593052,23.7045268112,28.0834708272,33.1173288467,38.8156613912,34.7381578175,34.3183334732,35.1734756531,33.6788920905,33.8326353588,46.5780205323,56.7961324513,60.3146768384,60.763097053,75.7903381487,78.7422783081,82.729141433,67.3064308053,68.0146889584,70.6422214404,77.9407505097,72.4244926072,72.7502179172,70.5663103044,62.1177583788,62.163197958,67.5191779053,83.5192789656,94.3384622154,96.3841902948,99.2940120971,111.0173901811,121.6696046904,117.3244394597,112.3426462336,119.811477365,112.4518927837,117.5382122665,118.5216763941,100,100.8685284524,103.7623863133,109.6305181682,104.8981172652,108.7554419426,113.2225553797,103.8416246579 +Jamaica,109,GDP Deflator,22024,"Value US$, 2015 prices",6179,18.1579973047,19.2921650749,21.5128037888,21.7844172168,28.1557859273,34.0142717151,37.7032484841,42.3160392401,34.2508186205,32.0976974036,37.4989221486,40.6523575894,44.399977865,47.6998127744,31.5517003338,29.2786202088,34.783784742,38.5988540736,43.8550012017,47.1348304782,46.7159417172,41.3957783194,33.5879332461,42.4367986676,42.1581362147,50.3380098841,56.4087640102,64.7218360082,68.5455043469,68.6457503856,69.0796894622,69.6425752115,73.1200670668,68.4384220117,72.8761833119,79.8208877779,82.3070771331,87.0480454072,93.9984638625,86.8791146552,96.1657134947,103.2839651152,106.526518537,102.2533311486,98.7997251314,100,97.8054393469,101.8747179039,106.2087741639,105.9383922715,102.7576658341,104.2439839248,116.6970978163 +Japan,110,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.5593938461,15.707411919,19.1869114764,24.1294423012,27.1167174037,28.6022652393,30.9171827783,36.4506508744,48.6498278703,48.0042963073,48.9180480976,51.766440227,46.6345042045,49.3677247633,50.0928150268,50.5085765711,72.6463169066,84.507927064,95.9756929606,91.02946313,88.9964780265,98.4606480958,106.4683390011,121.9538544258,135.5205635811,146.4896388976,126.1026884537,113.9468697917,105.2887217309,119.4994408573,124.6216151801,109.3090357814,104.4711576808,111.1743841007,117.7887014587,114.2433548051,107.3364521938,105.2632472749,118.8292736733,130.5137035744,136.5062242286,147.7079781915,146.6216005049,119.4473825088,111.8896693065,100,111.728194772,108.2875532018,109.9949224804,112.1308407219,115.5158564939,111.3956672767,93.2031785145 +Jordan,112,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.0362371445,12.7325997207,13.4027270979,16.4353643025,18.9932499311,25.0613368056,28.3299999637,32.1918832171,37.1180213883,37.2144030835,43.2893371625,39.3962969174,39.1599658627,41.8681142961,40.9725713532,44.3806956586,50.8000480443,52.402220403,47.8824367155,36.6024812567,35.7420933828,36.6905644379,40.7000401058,41.0548620449,43.5058068225,44.2253778368,44.5841084943,45.1342258792,47.8440520461,47.6633947314,47.4671018997,47.8365433001,48.2771253201,49.3121669122,50.8383194724,51.8589869497,57.3830213562,60.2809989551,72.1979205733,74.4455479653,80.4588543173,85.2143837367,89.1400525624,94.6164822612,97.8763262742,100,101.3620065814,103.0621820333,104.8285500649,106.5802103811,106.2992243844,107.6807903106,110.4878666987 +Kazakhstan,108,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,33.3177656562,34.1075098481,34.8358496993,35.5663228867,36.2302081571,37.5264112054,38.1956003357,28.349984169,27.9830286635,29.8458928693,30.2436245192,34.6210767209,44.2136456984,53.3546189378,68.3424856697,81.2394595599,100.10406311,85.4668872202,102.3122037842,122.2394837431,125.9878413542,135.2796175541,121.466703658,100,73.6456632178,83.7670728717,86.5134362083,83.8274420634,80.9690250631,87.7862297112,95.2102843712 +Kenya,114,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.0271852545,25.0016398249,26.6915682802,29.9278898414,34.0204867451,37.4434791473,38.3621793584,45.4189778706,49.3395298405,54.5424476018,60.1617143454,54.6768603204,50.7900378032,46.5865527133,47.4027785217,45.0279745762,49.5625427679,51.5134764908,51.8458154178,48.4778663057,47.5905720836,44.236566034,44.0785893575,30.4931653081,37.8084467133,46.6423719285,45.8285390125,49.7561633119,51.7680141744,46.2964703146,45.3664724964,44.7335028141,45.052800775,49.6186552604,50.9810261517,56.0422726109,63.2976987216,73.3071697633,82.1480602515,82.0534747506,81.4184579373,79.9490758975,92.7067505123,97.0105971226,102.2576625649,100,102.3459427594,108.0991409613,115.0218268425,119.0811776693,119.7224801161,122.0597724887,120.3612308 +Kiribati,83,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.9010531504,15.097004986,17.0770629713,23.0979372095,28.7925760954,26.3326171779,26.8370458911,26.5165462406,30.5390575207,32.9160379596,31.6640159813,33.6546161557,30.9988822475,30.3162030008,32.8372787124,26.160669831,26.00782783,29.6016453274,35.5124089835,36.188131743,35.6435457089,44.903394116,51.5924939039,49.5025145612,55.3641111871,55.3320230217,64.5892974869,62.2901054248,56.0918853865,59.3930759178,54.2438564039,49.7457309239,56.0901445072,68.7914938202,76.0391171114,79.361409003,78.1641359112,92.2738625414,99.9546645226,93.0970641763,110.4168831384,126.2269626292,126.0202413789,117.7428553579,114.7431764379,100,105.3152477271,111.2958153677,110.2373515379,100.707015811,103.4175371518,122.7323414976,118.5839497862 +Kuwait,118,GDP Deflator,22024,"Value US$, 2015 prices",6179,5.1239970012,6.4666814834,7.132468176,9.2777087076,25.6528801845,27.0212415497,27.6749250994,31.020650081,31.6800574845,44.4053605778,63.8743965843,69.3329292265,67.157167048,60.1612888015,59.4437542796,61.3610008254,47.1854985289,54.5065533459,56.0524481256,52.3240022518,53.8817275129,54.4646749295,53.7446565196,48.4485645439,46.2803185973,48.764741398300004,56.1537830869,52.7997837282,43.5426553555,51.4744017308,61.5673807948,56.8280431032,60.2953342303,64.5171218774,72.6594186529,89.2989951936,104.3985907026,111.179222872,139.4779482121,107.9227126844,120.3994076119,146.578545007,155.3234706636,153.6648713144,142.7944465974,100,92.7653252196,107.3915170609,120.0544661238,118.9646846658,101.5386289145,129.2633147331,161.2103524629 +Kyrgyzstan,113,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,52.1804789189,53.4173334723,54.5580198752,55.7020473932,63.6906019562,56.0625258936,50.9533696082,37.4461309881,38.9369717813,41.2096166311,43.3349826206,48.4523900664,52.1197652256,58.065392219,64.8774154691,80.1943509362,99.99778677,88.6853192204,91.0870943705,111.1308239555,118.5399061603,118.6840508976,116.1627255355,100,97.7806522599,105.5486238256,109.229144435,111.9990148177,107.2422124591,113.472489102,132.5919455335 +Lao Peoples Democratic Republic,120,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.3683278897,11.9446074709,12.4609431629,13.1437879846,14.3265573264,15.6535707522,16.5150472374,17.5411876785,18.7750051351,20.3326841561,22.1693511513,24.2670472672,25.7663303606,26.7755426898,27.7415253896,28.6188359175,29.1951910805,29.9171326902,30.9724360471,32.1866633805,33.3915163235,38.0328559048,41.327329502,44.0607648128,47.4275449275,50.8283148502,50.1245532067,43.6968775745,30.9221327981,32.6157703316,36.7350915837,35.1436114872,34.3167944211,37.0109082659,40.797968865,43.6918217169,53.962046188,57.8408749977,67.3052580393,66.1604035154,73.8782068036,81.7342568475,88.3129006022,95.7962471405,98.9057716957,100,102.6270336803,103.6965729427,103.7187546348,101.5976273103,100.3458245583,96.7605720874,78.6838616549 +Latvia,119,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,41.0258268093,41.9982782268,42.8951194167,43.8021887011,47.177080607,47.3604419308,48.8945297083,50.0197098283,50.0064586457,49.4129911842,52.7363543739,59.910121635,67.8504342879,72.1779142148,81.7760793924,107.0907141389,127.7808350865,109.7972867876,104.2609554788,117.5416718121,111.6467273771,117.3158173139,119.4878743491,100,100.5982831115,105.7667508521,114.8696650964,111.7151137514,115.0890204285,127.375211935,129.3984835732 +Lebanon,121,GDP Deflator,22024,"Value US$, 2015 prices",6179,9.2579034298,9.5244033887,10.5926058572,13.1927819489,16.550650994,22.1328176008,22.5531089243,23.0335466067,26.4734484726,27.9443300883,32.006891033,30.4258979756,32.827811886,28.34951372,13.7822471414,9.5458525932,12.6385790384,8.4051259382,18.6707327389,26.6122336527,21.7556993796,23.2418960631,29.2797182954,37.7435837502,41.3737101008,47.7215601478,53.7788167635,62.9612953269,65.9024514095,66.5896303826,64.4299716777,63.4669626012,67.2944369351,68.9884032991,69.3526576186,68.615988796,69.2203155988,71.3889352872,76.7668664601,84.6619863173,85.1518462621,87.6766671539,94.2401879403,96.6701250957,96.7718980716,100,100.8712952004,103.6437789205,109.3674929279,111.3294885032,112.7822174817,117.8492882646,132.7365421788 +Lesotho,122,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.7191500292,26.1813966326,26.0395362756,31.2561476752,33.6042913891,38.0914683715,32.2750236874,35.9204475967,41.3780221752,50.5215306721,68.3461429501,68.7388697138,60.895372708,68.0115581534,58.3634262454,42.735788366,46.8129055846,59.6538763924,61.9479511121,60.4644895109,66.2863437053,70.8913900494,81.394399011,78.0780153625,77.3677644037,82.7703396713,75.5058851174,75.9766475637,70.0501004741,68.0353187709,62.2645265211,54.7139457688,50.5994068984,71.323271474,88.7931293585,95.8520151975,95.9564673889,92.8736729117,92.4477494583,92.2434901722,112.4618772859,124.081406525,112.1357576118,105.1543297544,106.6804147346,100,86.485068204,97.3351426071,109.5085455582,105.1931769527,96.8330932872,106.9509139991,114.3869594849 +Liberia,123,GDP Deflator,22024,"Value US$, 2015 prices",6179,21.0459611725,21.1233740107,22.0953810743,24.8760028053,29.4321839914,36.8006364676,36.385924074,40.2972523598,41.7465669475,45.9009400112,50.3706735904,60.282289015,61.4342156753,63.1744888222,62.6472185655,63.0484634386,62.7066394083,64.7069496163,66.9013847965,67.0702275927,66.9579964093,70.6705807781,69.919198254,74.866751731,78.8679010092,84.0027440919,88.5939604072,72.8422552652,68.2876155291,67.6211690175,55.0461540952,52.8933192395,54.8813894984,60.5313786873,71.790786693,74.7879982765,76.0798383451,64.3949524635,69.1110099498,67.254778066,70.1138719789,77.1383797297,78.1390462047,83.4051141348,84.0737729451,100,103.8161960373,101.5045160657,99.6237103845,95.9031708979,94.8621934652,93.8667529362,102.1191502265 +Libya,124,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.1836386963,17.0721551543,18.7351987093,25.1670953482,36.0843519175,33.7652197348,35.6705059865,38.4859795829,36.7673196112,46.5525856464,62.3155360838,67.5232178427,64.5181059191,64.0372284268,61.3722640546,58.5191311996,53.7168762943,58.6323485737,61.5237034649,60.754923629,67.3014669823,64.4076837076,70.1252375763,65.9283978301,60.3536403597,56.7495661294,61.4392719472,61.9601545988,57.8609174402,64.6205256035,72.2115346992,63.6097227888,41.4401061102,43.9217556509,53.3683400947,66.0611119193,76.261801461,81.2731098931,103.7538694438,76.1095252304,89.8324428924,115.5906196918,118.8632854672,118.0276079189,116.7730148752,100,104.0026713471,105.6194692748,111.7321653508,113.6249222883,108.974440204,70.7329082264,82.3331177274 +Lithuania,126,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,35.047809181,35.8785612796,36.644720583,37.4131239972,44.5180738458,49.6148097248,51.2776188304,50.6331144409,51.2906048479,51.125546244,55.7944436959,66.4795143372,75.1429938875,80.5067960843,86.6100349798,102.5317319545,120.4396841749,110.5171951888,107.9998192213,119.5206816934,113.4094997937,118.6288339149,119.6506823115,100,101.3092697068,107.8547020604,116.7268378172,113.6425710614,118.0168840924,130.1593324955,135.2864082065 +Luxembourg,256,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,52.4797046761,51.3745322093,54.8230231899,67.1821453651,76.2154872864,80.0107239044,85.920885995,95.5155277311,108.9832927594,104.255918868,104.0156252748,112.9421908267,107.7986760782,113.9315355142,117.0290506688,100,98.6324542925,102.8890694329,109.8298745728,105.563713866,112.7625951737,123.9829004588,117.477969753 +Madagascar,129,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.0557766801,19.7638547098,22.8790239954,28.8108317505,32.2429591199,37.912212225,37.3788387878,39.479127494,45.8847901635,54.2095267654,62.7593665518,61.096755881199996,61.0462667471,60.3145170608,49.6340923924,48.4587949163,66.0421627856,51.3973908192,47.3195183027,46.4979093851,55.5879815844,51.5005139326,57.0420264398,62.2693764674,55.0341159231,57.4311592069,71.0820929974,60.8418946642,61.729930917,58.6899838175,58.3901099755,64.3524656421,71.5207646627,81.0972337402,61.4223520819,67.7973013918,70.6619854385,88.5523163786,104.4027398086,97.4934964353,100.5793807207,114.5801428637,111.4922940844,116.9346998004,114.0615573934,100,100.6237568757,107.6644077201,108.9536465878,106.9640481702,106.6223629688,111.59876879,110.4736065397 +Malawi,130,GDP Deflator,22024,"Value US$, 2015 prices",6179,51.1301237529,56.2300682443,58.322266631,54.9781387119,63.1837298052,66.9216329972,68.8677901648,79.3920584993,86.2717124834,89.6007567973,99.5622407362,111.6306206662,104.0038884735,104.0458835371,98.0430023628,87.9894392905,90.3395572318,95.2904551515,102.837025208,118.7038320044,120.770812849,129.4298067544,126.2294897783,125.3070775313,83.739158318,89.0244794529,97.619459943,99.3028120334,100.4205135008,99.021917993,95.7019305016,98.965638646,108.6527809587,94.3654494804,96.9654668615,98.746098712,103.1394321576,104.3424942615,116.3566481418,124.9756744953,131.4532592097,144.1801617727,103.6881436825,90.2304853546,95.7844287185,100,80.4064174473,91.3532315136,96.6794837684,102.3020166471,108.0969096129,109.1091444013,112.5660285922 +Malaysia,131,GDP Deflator,22024,"Value US$, 2015 prices",6179,22.6490870784,20.237153957,21.9827007602,29.901856217,34.2098839339,33.3410396013,35.3985737906,39.0627725975,45.597427153700004,54.0754723284,58.0987559235,55.4722728622,56.1135364616,59.8122139422,62.0799529046,57.6830288146,50.7164713519,55.8387470817,56.2525251015,56.7459355399,58.992494955,60.10302754,66.4516279874,68.3839662786,69.7178720867,75.7087094938,78.1347331974,72.3122381274,56.2425806928,58.1098157099,63.2555659004,62.2549426082,64.2028270426,66.3208352149,70.3062416273,76.7980707589,82.4440947079,92.2691496147,104.9612644049,93.3897916284,109.6125666645,121.6277496915,121.6986323495,119.507973536,117.893915239,100,95.7082552671,95.8110691942,102.7485827464,100.1605717563,97.9390223137,105.0223403466,105.254606148 +Maldives,132,GDP Deflator,22024,"Value US$, 2015 prices",6179,22.2583809024,23.5848230147,26.8761584495,32.5053437754,38.9285549609,26.5187781686,24.0674572549,20.1591221164,20.5362093417,29.3372425097,27.2674301962,25.7967873308,33.8004384667,30.3660283837,27.5629011169,26.8918777595,27.4271212,25.0753872984,27.5221667536,28.329548709,27.6522115147,29.1926848482,32.0233604725,34.1417200535,35.3527761273,40.233509771,42.107811377,43.8344661024,43.3353420928,44.5290480281,45.4334487982,47.3461584155,45.4419177887,46.0198491009,50.6080465136,55.2428177211,59.311912644,65.3131324574,72.5302620742,80.7166320095,83.042579768,81.9920073958,83.2019923618,88.5413731591,92.5680116925,100,100.2116911855,101.4778668262,104.6478440912,103.3981286672,103.8328227983,105.697007232,107.7768935977 +Mali,133,GDP Deflator,22024,"Value US$, 2015 prices",6179,54.1194096775,63.0776248741,67.426487593,79.2579841869,75.5363364382,100.7408607727,105.0036635741,114.9001735909,135.1444848778,154.7846919731,188.6130959764,166.7787232515,137.8143467053,127.7266326411,124.6778714976,125.4360909148,157.622644762,190.9709988154,197.0464705086,183.8320946014,217.2884581342,208.667880883,218.6511791793,206.496745447,140.8890306679,130.410253304,120.3761142892,98.5278619236,105.4918422714,97.8548230946,80.2713603479,82.1213523707,85.407288587,91.4321554871,112.7747212779,117.2047376268,115.0911137846,125.4566340348,137.0915924843,128.0934784802,121.1840763729,136.6846363128,117.8308022003,117.21344678050001,118.12416068,100,98.3532608354,100.9547401552,105.0436741293,100.0457480109,100.4434288575,106.2504932152,99.9124492131 +Malta,134,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.5433260862,25.2786870337,26.6401402756,29.9576685555,29.6250675804,31.2705825253,29.7251629327,31.3965524383,35.8343530384,40.9157682631,47.7227261884,45.9457706369,44.5932266232,42.3694169968,39.6722285469,39.2336702232,48.4848065365,56.8337793479,60.4513517922,58.6243803879,66.3139857015,67.3800075393,70.719930887,60.6819159339,63.5696323135,71.2660534376,70.5603401702,66.5260526496,66.9043054218,65.6523881733,60.7124800521,61.7190218726,65.8030765405,77.05387423,86.1176300994,87.5051680743,90.6748726878,101.4404545695,111.3639799044,107.7468235489,105.9761526912,112.4852888313,106.1978411812,112.2388492789,114.7822776513,100,101.7290658495,106.112422243,113.3543271226,109.9666402138,114.0105838878,120.2545141555,112.6829747057 +Marshall Islands,127,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.4862950111,20.6507902439,22.3498611914,19.4222656206,22.0797415666,24.2035077001,26.2292327685,28.5076427101,29.6597523178,33.4015857803,37.6330541597,41.0616235161,44.0913901694,45.6389976748,47.5138346284,49.2654790948,50.4743060725,51.9179686689,54.0584398451,56.6300841604,59.4558142164,62.4546101916,64.3377226024,66.2888475266,68.0291216159,69.9388647404,71.8946358296,72.1722124839,74.3816840813,76.2582645695,74.9565579648,74.5572058683,77.7592207971,78.381745911,79.5545888213,80.1747894384,83.3770162466,84.8690955828,92.6919446252,88.600766731,88.8182023133,95.9618034268,102.9716410255,101.3263633606,100.7349525679,100,108.3069209433,110.8070196672,111.3674833385,112.8316521771,117.6998792811,121.1667853287,128.6346746735 +Mauritania,136,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.784678008,26.3948639447,30.7963264589,35.2061415774,41.1440511584,48.5720496484,51.0240404044,52.4593597216,55.7918485845,63.1868913209,77.3883969349,80.3592924346,80.0997977624,79.4419423014,70.6135167856,64.0487486889,71.1351325072,78.7873617509,81.8735880531,80.5622593231,85.1783558397,88.791329677,88.0408671667,69.2114400269,69.9718668524,75.5198261006,69.1020996755,69.98528063,59.3747057393,55.9627986802,52.1913136028,51.6227706064,51.8231841421,55.940582956,63.468279827800004,70.4415150462,79.448403657,89.865983343,108.0103206238,97.7111674046,113.6812098072,131.1464121055,124.8591372428,128.7004590948,112.4531652681,100,102.4681238155,102.4704149354,107.4884799546,110.1755092202,115.8988429956,134.5426502259,132.7440104991 +Mauritius,137,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.1635666344,17.4013706126,20.1972794385,22.6295561988,34.8079815338,34.5517558082,35.1407625551,38.5842160308,45.8113936812,52.7878554921,54.8477261136,52.2857248714,46.785408854799996,47.1196666451,42.921331883,41.5324973195,51.4481175666,58.442855211,61.8611639794,60.4997023823,68.2088967864,70.1682330217,76.9561217662,74.1116366653,77.6325169797,84.2801336861,87.6890720638,78.4798030024,73.6737626418,73.891343301,73.3141882091,70.1835964994,72.4178450185,82.2059983233,89.1198503533,86.3635189284,85.4384074579,93.7023668827,108.9878832196,96.3939337076,101.2017305132,111.9604349108,109.5898146106,110.2154563704,112.9008760604,100,100.9854077346,105.7981159276,109.3232813903,104.1569580152,96.3222147384,94.0524674197,97.2530950752 +Mexico,138,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.6409466847,17.6192356844,18.7170566276,21.1225294105,25.9224949429,30.0108215441,29.0753206265,25.909433256,29.9944081835,36.0020334917,46.0401446557,54.3108078813,38.0133409163,34.0397176354,38.7571084499,39.6206556921,28.8828528467,30.7268382107,37.1653938148,43.4260920338,48.6956748635,55.9250311233,62.4034880273,72.6857911992,73.008861233,53.1504773472,56.8156494852,64.7476743353,64.7775229585,71.8702619267,80.7711164486,86.6888695857,88.4891489176,82.3951231992,85.0382799966,93.2394586481,99.1844483445,104.6483353731,109.0959459613,93.3986088684,104.4242651563,112.4178032627,110.3604881809,115.5356818585,115.9405665482,100,89.6729194444,94.3654108973,97.3975560586,101.3124824543,94.6204055416,105.4616607082,113.6914823021 +Micronesia (Federated States of),145,GDP Deflator,22024,"Value US$, 2015 prices",6179,20.5573385172,22.0120038543,25.0968675044,25.9955441867,29.8383820714,29.8317622436,30.1731613136,29.7682715463,31.9622413402,35.1569728635,40.3445221079,43.8071314497,47.094113705,48.5424600862,50.8800105219,52.5510928346,53.5750174644,54.8246155842,57.2291856719,59.7218623551,62.7335713598,65.9800920814,68.1750860645,69.7497937367,71.236019574,70.9434047207,72.200437114,72.6678162395,74.9211809562,74.2146348669,74.9928680639,75.8911439955,75.913175639,75.6083852076,76.4097906718,78.0044622562,79.1128516115,81.6030635687,85.6873259598,90.2815148727,93.5343765267,95.0268390642,101.7950963946,102.4434926576,105.5412810154,100,104.0478036497,111.8213243339,122.3172388093,124.0694275117,124.7793149484,127.832853075,135.9730351059 +Mongolia,141,GDP Deflator,22024,"Value US$, 2015 prices",6179,15.389695503,16.1698249437,16.868806285,17.7931967481,19.394352186,21.1907757893,22.3569860639,23.7461075852,25.4163686075,27.5250521409,30.0114112671,32.8511344695,34.8807654323,36.2469707876,37.5546547104,38.7423000719,39.5225318303,40.4998489566,41.9284493176,43.5721905181,45.2032412846,46.7319071199,47.7968853751,48.9298338749,49.9746931474,51.0226128538,47.6252591439,40.9788420167,36.5748750967,33.0548361999,34.1523657025,36.9981454836,38.9077136634,41.5350715128,46.8832775681,55.3741156618,69.0118623803,77.6489966398,94.6755258344,78.1678543152,99.4090855786,122.7177193884,129.0201992798,118.278640268,106.5359946386,100,94.8134224067,92.1581941273,98.178407999,100.2242924084,98.4067477659,110.0377498983,115.5708006711 +Montenegro,273,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,81.4437498342,103.1111457107,118.7746123925,115.3558016542,111.7417922191,118.6965985041,109.9023471833,115.9172823241,117.0282169132,100,104.8248682765,111.1500004613,119.9423613298,115.9976887657,118.1459543821,126.9952266464,124.4908179353 +Morocco,143,GDP Deflator,22024,"Value US$, 2015 prices",6179,29.375587177,30.2034406615,34.9032908681,41.3589039461,48.1786960912,52.4332732648,50.4838998803,54.8772907196,64.2915917803,73.7459101693,83.6936129425,69.8801102946,64.3513631728,58.4899907215,51.2752520028,48.6797465764,59.2912425157,67.1024178272,71.6621208115,72.3587391387,78.729329079,79.3507097937,84.5092799833,80.4255818091,82.530578031,96.006828059,95.0308245422,88.6421880915,88.2443408573,87.1486657834,79.9272230474,75.7259019028,78.5274029471,91.0488284792,99.3016432278,100.791221144,103.1442604938,115.0885573016,127.1636139563,117.192163085,113.1073596031,115.7408435517,109.6752052705,113.6362026617,112.5824498331,100,103.7154962136,109.2649095426,118.5663985307,122.5997804463,131.7276202538,152.4611763735,141.6629994036 +Mozambique,144,GDP Deflator,22024,"Value US$, 2015 prices",6179,196.18445379920001,203.2050818959,216.9107365566,244.1581771068,240.2870830026,243.7069342392,210.1266349015,213.0723275674,220.2842515906,224.690214744,212.2066851488,201.8881876073,220.3624278275,235.9168279834,259.6698297756,377.5232697426,450.8076118053,152.6445740832,124.4040073219,126.2310663325,137.1982452348,121.0948087086,93.7248219954,87.6169575427,84.2633620501,85.4467283981,102.1930006718,110.6728605828,113.9939625365,115.8691649902,108.3868035507,92.2900902223,88.7999330519,92.2522714728,103.4909164698,108.6261357721,106.3853981354,112.4608048436,125.903054699,112.3689045808,98.3370099326,118.5614082271,125.6740178767,121.972609824,118.5331213054,100,72.079030519,76.9419961313,83.53137531,84.6368653534,78.79969296,85.8188670767,93.2366952599 +Myanmar,28,GDP Deflator,22024,"Value US$, 2015 prices",6179,63.9250650646,65.171979955,64.5398623675,80.6956202564,95.6426917724,82.6736000393,83.6298378271,80.8016556248,87.0784425552,93.0965843964,96.5185074123,90.881467549,87.4483022224,86.607966698,84.7066110814,86.3536676039,76.3555121786,78.2436389327,81.0036218389,84.1792458549,87.3303526007,90.2836568908,92.341140467,94.5299390831,96.5485538127,98.5730811444,100.3779225869,102.1088416672,59.6625591296,54.0222640155,58.6571010343,59.5997332995,65.7330109511,50.7829319249,49.9506797461,51.693026694,53.640996219,60.0482716212,73.9578489983,85.9053157787,99.8816879029,127.5461982764,126.0580256621,118.2789432725,116.8267171805,100,99.2073642557,94.9598998463,96.0079316654,93.892286401,105.1892911067,95.8807276148,84.8520642781 +Namibia,147,GDP Deflator,22024,"Value US$, 2015 prices",6179,24.6977084909,26.2193721976,25.7550527061,31.4099964631,35.8171760298,37.3599353664,35.3465006201,39.2823827313,44.0028805649,52.3772547772,69.6426869392,63.9839391411,60.5006833991,66.8067978285,56.8653073166,46.6631769586,50.0942070277,61.5024839425,66.1897696135,66.0276907735,71.1999575483,70.7136496491,75.4957732098,72.0870659953,80.0691680404,83.5456328112,81.0194006272,80.8399302247,72.9960127641,70.4769593949,68.3665443377,61.2696493994,55.0924453943,77.6394686999,93.1329671007,99.8190525955,102.5670992078,108.5907315735,102.7109500636,107.1081414154,128.3867115367,134.3748064599,134.1531481986,118.6836972587,114.2818170595,100,94.5588332906,114.8361513654,120.6371522881,111.6232974379,102.0253649457,115.3860668265,111.7824011577 +Nauru,148,GDP Deflator,22024,"Value US$, 2015 prices",6179,8.8164572832,9.3988184776,10.7622678453,13.5434999028,17.1223291081,16.723845985,17.4807873439,18.006234799,20.0798521613,21.3184229222,24.0724604231,26.4138993867,25.8248564296,25.4894094635,25.8163054721,21.8957379272,22.7318969377,26.0156736307,31.1030072677,33.8628020162,37.6395980244,42.9753533045,48.0628313492,49.4480369194,51.2679623052,52.8984093109,58.1084935284,58.4845562093,51.4506530213,56.3961156455,53.4993162437,50.2987572563,55.9465288353,70.5315278232,84.482680981,91.4585188923,110.0848784437,99.8351942177,91.7593742983,146.3870156594,140.8817057561,187.0706453939,233.0017776352,207.5120102135,173.7755458675,100,110.1454362386,116.5074181455,132.3476575742,120.6484725297,121.6810967125,138.0852574921,132.8689300338 +Nepal,149,GDP Deflator,22024,"Value US$, 2015 prices",6179,29.138316512,30.062096039,33.8214125687,31.5916712904,37.8504159698,41.3798147608,36.6215250772,35.3159068331,39.8681195407,44.249540556,47.6172486252,49.9591833882,50.9226782446,52.0676767865,48.9453529897,49.1944955611,48.3742156606,53.0342038984,55.5568332638,52.9471334785,54.2683322151,46.8144010577,48.7033592389,47.2787946463,49.958004165,50.554585504,49.8882594948,52.1988189123,47.8156971517,50.3037631357,50.4837459644,49.1325300677,49.1463806041,51.8095808509,55.7759663973,61.1016922979,64.3472398557,75.8499979429,76.2694247889,79.500369228,96.9286495825,106.3084671342,99.512111284,97.6260780816,98.5430423211,100,102.1824788939,113.6640879199,113.8241374413,115.2499696415,113.1926186162,119.6451880994,121.1653577561 +Netherlands (Kingdom of the),150,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.9136187135,15.5775089675,18.6486357614,23.2882674954,26.417341503,31.0700776237,32.3504740451,37.0782480248,44.3178041484,49.7466183944,52.3327915185,44.3620483892,43.3712256321,41.140067742,37.4383710078,36.4810153897,49.5605381578,59.3140504792,61.2862029508,57.8903055537,68.4729048582,68.7672230976,74.9406416009,72.0860089594,75.0812101359,86.8598840922,83.5873063971,74.128021905,74.4321090328,72.2992968087,64.6611135424,65.4314437608,71.4104790883,87.4955801347,97.4185552498,99.5097874626,102.9518851759,114.6502222498,125.5352034671,119.3160265318,114.8231040346,120.7532217331,113.2229038615,118.4988504261,118.7088985411,100,100.1906321992,103.6118126015,110.9542095722,108.3677477564,112.699620708,119.6465550015,112.1770608608 +New Caledonia,153,GDP Deflator,22024,"Value US$, 2015 prices",6179,15.7307186218,16.9756632348,19.1450479741,23.0438636182,24.1743693076,28.796974691,27.5174146099,28.3339924315,26.063401737,37.340909766,42.3324244807,37.5181564772,34.0062620712,31.6030199645,29.9969900439,30.8238810087,43.7558684986,51.2781270919,53.0651291331,50.3966802464,56.3117069627,56.3201304088,61.731414611700004,59.2733347083,62.2067400217,70.1141198242,69.38704458,66.8174096842,69.283569446,68.0460203877,62.1094147752,58.8088605949,64.8209407043,81.4895214155,94.1047614758,96.2637231839,101.8329844299,123.4031069253,125.7797589839,117.991771301,119.0628604757,125.9839463322,115.6375430667,119.2236989688,122.5671142548,100,100.0163607788,103.5831978633,111.2940388965,108.0754127557,110.4872952092,120.2189177118,109.1276296104 +New Zealand,156,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.1555272767,12.8806643863,14.9078012588,18.1931227134,19.2681562698,19.0059668091,18.9397687201,21.5621563629,26.1030499803,29.0432403641,31.9077812819,32.8582262896,32.429495017,31.0925245773,28.5487277518,28.2825871684,36.7742730194,45.9238458583,54.1690861492,51.9828074936,52.5821552337,51.5552282891,48.8535528886,49.7618483756,55.4908305208,62.5646293339,66.6152392249,64.5008979269,52.6551725404,52.4526983388,46.5991411479,44.604095423,49.0561834315,62.9712260097,74.4516130862,80.6753345672,76.5215102245,90.6532120406,89.4704441582,79.9240526123,95.6157686094,106.9849341738,109.1749704764,115.871256313,117.8597657512,100,102.2535846627,107.2151581297,105.7312111162,103.7779735369,103.5045571629,117.7800493888,111.5406561444 +Nicaragua,157,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.80080031,20.0849806045,20.7437626199,24.5066181078,30.2398421202,30.9427112559,34.2250132678,39.0322377418,40.1873001894,39.119074653,47.2813631938,47.3567672364,53.3727131739,55.2032127556,57.6465778932,57.9157694145,59.222255815,60.6867096894,62.8273857066,65.2904379802,67.7344743632,69.7510126759,73.6790592747,78.9137027099,71.1005566369,71.8321695517,70.4270978845,69.027507847,70.2772788399,68.7834430675,69.5234532801,70.7244247148,68.5159818432,68.0915449863,70.3751955536,73.6407497025,75.9058006047,79.2845970225,87.7366100847,88.6069281343,89.5673622242,94.015750445,95.1242537076,94.5393394187,97.5940854609,100,99.6048375295,98.7772197163,96.5751055606,97.066263167,98.7589617543,99.6405252533,106.3964324421 +Niger,158,GDP Deflator,22024,"Value US$, 2015 prices",6179,16.1269920197,16.3533387533,21.6227676963,27.7837278521,29.3341868141,38.4336984385,45.1768365869,49.5022353168,59.0610464881,72.1619890049,89.9007405473,77.9322303324,69.9053888485,65.5909782564,63.8947964741,58.475114684,77.042990159,90.3738385605,88.5425064654,83.2377592088,99.5783323272,94.169800105,97.6324557439,88.8058766679,53.491632146,62.6462529276,63.8221791186,58.4795807172,59.2815753548,57.7460079379,51.7163096501,52.3791146959,56.7361901222,67.5605019403,74.7343580395,80.9066046986,83.4339248402,98.6186724947,112.6880474328,111.3157023399,108.4370906055,118.1654177935,112.0427007867,118.0099975794,117.8520357698,100,101.6301890038,104.1075022186,111.200618008,105.8476538268,108.7690478018,116.4198858484,97.7942022278 +Nigeria,159,GDP Deflator,22024,"Value US$, 2015 prices",6179,33.7579047847,34.2816126646,38.8942759757,42.1151654577,61.5431580507,77.71854901,88.5140303786,95.128490782,109.3192804406,136.0375567737,172.6453832678,161.1246841109,169.6619094357,188.5953746841,188.309502802,172.6882136221,92.7332894081,48.4819832647,51.574419163,40.9760800503,40.0462745938,38.6121642393,32.4604128404,36.0439044044,31.895418924,32.5642341969,33.1604748616,33.7322948113,34.1119682026,34.592680652,38.530725213,38.7779148888,43.3230697632,44.388418844,52.8190440709,64.0863270591,80.9983596057,88.7097566902,101.6016062363,81.4436588456,93.8735335877,100.6661127074,108.1235982751,113.6274367985,117.9943072801,100,83.1608901574,76.6032840807,84.3578448522,92.8641754427,85.6694633546,82.8518131706,88.4610939158 +North Macedonia,154,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,45.6902376596,50.0433912551,61.2387668614,81.891611359,79.8145162625,66.3248330926,61.7423132709,60.7128187367,56.7068373777,57.520984987,61.3906939044,73.9243505813,81.1390278648,85.3296985807,88.975040113,101.533265256,114.4306445725,108.9574241392,105.4775794712,114.9803668681,107.2593657235,115.6795777933,117.2471092857,100,103.1037782249,108.065633728,117.8226419334,112.7027138936,115.3546570131,127.1370010037,122.1435874731 +Norway,162,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.4150205836,13.370402373,15.1095516965,18.7640872996,21.7508058077,25.1005410834,25.929731503,28.7489425493,31.0223578615,33.9451085857,39.3713651253,38.245347267,37.5857679185,35.5614096595,33.7662960208,33.7209522565,38.988541932,45.8823526677,49.7438954432,49.5869918215,56.7791439731,56.036823462,58.0834395781,52.0479893262,52.2359288155,59.9741767745,61.418452098,57.5638994531,53.5912662215,55.3014200896,56.5429360556,56.2756767453,62.3453738656,72.3159292912,80.3905426913,91.4751646808,99.9438841733,112.5832379757,129.1838167886,109.8237383568,121.0795925539,139.3460316827,138.7343912962,140.8868052691,131.7294904596,100,94.5848213302,99.8493658951,108.3132713461,99.6244049132,89.7523722712,115.0186353321,131.5747892694 +Oman,221,GDP Deflator,22024,"Value US$, 2015 prices",6179,6.5401194879,7.6057571258,8.4835923443,12.9872506643,34.5057037736,34.1831698174,35.9909198584,32.7554216045,27.8428002645,36.3690410938,54.8640358871,56.4069766533,53.1634083012,49.7785172389,48.1626977995,46.7215931496,36.209449528,39.54328616,36.5181818539,39.6292709732,45.5893834695,41.7285033851,42.2238721928,39.9165749281,39.7454875328,40.5093511456,43.5766192886,42.5454568025,37.6623015804,41.736274555,49.0590633207,46.7824754209,48.978169725,53.6989470161,60.4092034288,73.5381592186,84.2481654292,91.0374921481,120.761003192,90.5200075206,103.5321389203,119.977643289,124.3043383747,121.5447878246,123.6806554997,100,90.8639522904,97.4948044768,108.9332736769,106.0296565707,94.5951195572,106.6046440969,132.8787991637 +Pakistan,165,GDP Deflator,22024,"Value US$, 2015 prices",6179,38.6497916534,40.4827107909,23.5599117407,23.7097186194,29.6663774325,36.2669541026,40.6510318998,44.9861934452,49.0479011603,51.7303683562,57.1765773211,63.5240149174,58.0567114979,55.2033779491,56.5274114647,52.1088681196,51.4992632515,51.5018609236,54.5595062186,51.9230723692,52.3044791801,53.9348645524,56.3255058202,54.6275231949,56.7152551062,62.3879378901,59.2989217479,59.0043192999,57.9027272293,55.7816274174,52.8739258328,49.4198712538,52.5052626804,56.7078693773,60.5720841206,63.4589906467,69.2167329192,73.6806586565,71.9543860366,74.8127602751,79.5416885987,93.900330158,91.9917180265,90.4277198502,97.637861599,100,98.4837839403,101.7859196798,91.4944181452,81.0033039073,82.5639869285,90.4011844406,81.2295565883 +Palestine,299,GDP Deflator,22024,"Value US$, 2015 prices",6179,17.4341003782,17.5648394297,21.7974019432,28.2794375615,36.2942888614,36.0300398898,36.7256713164,38.2041286529,35.2016409939,41.5508550393,46.0226790109,45.3281209573,44.3675295107,47.862932673,44.8355778654,42.1312851759,56.6818450086,64.1965855609,68.6995447888,63.8505765811,58.264347913,65.5684716328,65.2682952703,63.5765872445,56.2175301044,60.5939088796,62.1788159313,59.7949427242,56.5826301975,54.8685493563,60.5981126038,62.018950662500004,62.9417069544,61.6038082462,58.6128301118,58.6457820849,61.8086212874,64.757037235,75.7711442786,77.1749816266,87.3592362665,92.0939537641,94.7349634125,100.1712074946,103.8497227398,100,101.2780224837,104.5446590047,104.22894174,108.2412028555,110.6451337142,120.0284818761,121.8822160189 +Panama,166,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.651867892,20.2305385945,21.2489089022,23.0581063287,25.7281548536,28.3631402928,29.6389075569,31.078555421,33.5569541474,36.7597245253,40.6595834298,42.0369440893,42.8572747529,45.7238994395,47.3196002072,48.021021369,48.5690068019,48.6170956157,48.3504491289,47.7336789787,48.0034724632,48.2400308257,50.6814879039,52.4830656405,54.4143084147,54.6682638836,54.8215579933,55.7013735809,56.2559876398,56.7333041063,56.0221344475,56.6001116306,57.5455206771,58.1964208951,59.3399827074,60.3774367146,61.6491544774,67.2492627219,72.3114478871,76.9906923546,78.9848701013,83.6008238948,88.7637883909,93.6500599203,97.5811332398,100,102.0020460145,103.7657371669,104.4644268109,104.652386029,102.7728873662,105.0018665945,107.5737861576 +Papua New Guinea,168,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.709682163,21.1691630758,23.9824289456,35.5007017302,39.3479631544,36.5115829866,40.4777986031,46.7149361995,52.2833909042,59.0833472159,67.1183509505,66.0512911878,62.1073648692,59.8368528779,59.81988464,54.605323339,56.9974322153,65.8460940335,74.4013348727,73.2187012801,68.5539004046,73.6153735424,73.2491030584,70.4342829205,71.098527275,66.8924373105,66.7810506917,68.151660143,49.7639556847,44.5831603427,46.5738940665,40.8486982563,39.7839487045,46.4653553966,51.9319317506,58.2181837541,64.6492349953,68.5044609631,84.0107800911,78.314789716,87.2162269247,108.8651081664,123.1649568124,118.4390793575,113.8757703283,100,90.5870572417,95.8559251051,102.3508051298,100.1249723426,99.6310714356,109.875614902,122.2974161024 +Paraguay,169,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.2331178369,15.0499119104,16.3221311234,19.6550748075,24.2647049247,25.6554627038,26.8886177133,29.8480196051,32.7978948964,39.3124033877,45.9240592322,53.4145962309,56.1032304227,64.2005545362,51.0874488545,41.9374483671,49.8817905835,40.0929786604,50.1758254172,34.288966701,40.1323479288,46.4873289256,47.1074828672,48.2408813613,53.4597843337,58.9173971964,63.676054055,62.6678076675,55.5849835163,52.04672447,52.3216046006,46.5760270977,39.733430691,39.6711523288,46.4907605269,49.4901500939,57.5544223589,70.7414421936,91.5705428477,83.4012049062,91.5221899168,108.6708155996,107.8754646098,115.2703204143,114.8033804847,100,95.5842268948,98.5445375923,98.4925144982,93.2353369622,87.826157864,95.5040814481,99.6634816431 +Peru,170,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.7049279637,13.5447783847,14.4920388975,16.3242311076,18.8106285383,22.0110798574,20.6927866499,18.5790255632,16.3902653973,20.1087654807,25.2528614191,29.2228042145,29.7932827978,25.8067959696,26.1116983059,22.0883673854,30.0150960634,44.8073737865,43.2174885068,55.4139032907,48.8635040497,56.3976624569,59.2290717927,54.3312348953,62.3692163181,69.3872376255,69.9047321367,69.0610513435,66.1680642358,58.983754480100004,59.19647392,59.1805191878,59.0821746564,60.8055014019,65.8597113089,70.5940353009,76.5051377251,81.2693524537,87.8874673027,87.1068269773,98.1561828978,107.479680868,113.5771537977,112.0459008976,109.2271157379,100,97.2589090327,104.3166939326,105.8446772807,106.1894130133,105.3457542228,102.8682500219,108.6490331682 +Philippines,171,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.8979932056,15.6621069918,16.0841593252,18.6087606244,24.6141417448,25.237106374,26.645526232,29.0209150209,31.8958619591,36.6028157865,41.0678036976,43.6436720675,43.8606479886,38.5089880867,39.1990718875,41.1800259421,38.6747054651,41.2063303681,44.0981366799,46.6900476265,47.1559210924,48.5590034665,56.4235568077,56.6939300867,64.0571917456,70.8369077544,74.8238818918,70.7273753296,56.2754860707,62.6021353755,58.5939235366,53.6330626193,55.2405185506,54.2697790875,55.5833383855,59.8887860168,67.576416129,77.5186425329,86.5050247832,82.6175081554,91.1413108063,98.6414331048,103.1919215129,104.77937744,103.2380462282,100,97.0373284552,93.5540468783,92.8926816331,95.1035239069,100.9038827398,103.9923704366,99.1752638735 +Poland,173,GDP Deflator,22024,"Value US$, 2015 prices",6179,22.2200222752,22.9035721636,24.1911065381,27.486486278,28.793709711199998,28.9386979139,29.8935000791,30.9606279,33.2665957127,35.8600144904,29.3848668037,30.9329469575,39.459774787,43.2392275964,40.9857262097,36.7915342674,36.7471140894,31.1683187675,32.2323001739,38.4446550128,33.8591767398,47.2198434695,50.8053217746,49.9274436211,54.6232445155,65.503772844,69.4937337584,64.9432857828,68.0326786032,63.2743459441,61.2936539029,67.0992129279,68.5729633428,72.4982595453,80.8755164668,93.7677859693,99.4560516987,115.6450955837,138.037465561,110.6215978067,116.2574340165,122.002364704,113.4683845242,117.1689754504,117.941045586,100,95.6884912125,101.5859177442,107.6075465432,104.2965783586,107.051316173,113.5615145438,109.6758034703 +Portugal,174,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.2008142004,12.9890184721,14.6791260907,17.7324164214,20.3368740809,23.5038841479,23.1012481383,23.060585663,24.5794262649,26.3650511251,31.1511239537,29.8003132869,27.8531525553,24.8984011777,23.4910088072,24.5681212749,33.7089876275,39.405484027200004,42.8706015166,43.3145865863,54.1317324337,58.7966662201,70.1300675963,63.2198513256,65.6991853886,74.6465157378,74.8762852224,68.4372548969,69.1644439045,68.4282739663,61.1989918565,61.6493762483,67.5546387094,83.7894493545,94.3942142658,97.6913020359,101.6848724504,114.2312011259,124.3812472491,119.2542501893,114.4246448225,119.7832302212,110.2825463395,116.5255260208,117.2575756776,100,101.4493104284,105.1737354062,111.9406427144,107.9694567655,112.3679218105,117.984199794,109.7032360194 +Puerto Rico,177,GDP Deflator,22024,"Value US$, 2015 prices",6179,15.7524317872,16.6102374779,17.335523816,18.0990654057,19.8538155647,21.7290807574,22.5812035677,23.4225110876,24.7521817854,26.6409873289,29.7109552221,32.4908263105,35.204526282,36.1158348435,37.325970002,38.7252087552,38.7626175472,40.1591312939,41.3322680891,42.530972426700004,44.3704099303,45.7594752631,46.9377848366,47.8231322238,49.3434234233,50.712004971,52.694273425,53.3954388229,56.790503708,57.6303843848,59.5300797802,62.8058470784,64.4074585493,67.256220858,69.0976598113,73.6512801024,77.6968446061,80.635575783,85.9269165281,90.2082729069,92.4581561708,94.6492539176,95.7653845627,96.8973459605,98.0606517561,100,102.2208666602,104.3595073838,106.4939094793,109.0638799842,111.7435706295,115.3066075263,118.9677503669 +Qatar,179,GDP Deflator,22024,"Value US$, 2015 prices",6179,5.9481713913,7.1588433515,9.3036549927,12.254162363,14.8921802766,17.949774359,21.5093257848,25.3984278141,26.1379161624,35.5870329854,50.0256081723,54.8582651359,51.6992819069,44.8673255548,45.4186055375,41.5595532657,32.3994963024,34.9062771383,36.5413054328,36.9629931734,40.549420238,38.5630087228,38.4759470562,36.4960694238,37.0809918582,39.9611475474,42.6215846499,40.8830602162,33.3678640381,38.6665053648,51.2929037905,48.7529278553,50.2197318604,58.8457301284,66.5589604625,86.8884112543,94.1526860037,104.4809041309,128.407277124,97.3095941157,106.6521184612,126.5326722263,134.5421426187,135.5747381994,133.5645023055,100,91.0233009367,98.1118038887,110.2917991449,105.3772911924,89.4648773117,109.5773360071,138.0516366887 +Republic of Korea,117,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.1273990809,14.0547220164,14.3779103572,15.9861133268,20.5596443555,21.2503786056,25.7633069103,29.487108715,35.9258337225,42.5845865855,42.295632756,43.9818978748,43.6165466376,43.0866910741,43.3043047851,41.7153958627,43.2194664074,48.55095363,58.4867863131,67.57848457,70.5789516018,74.3427401953,75.2705315707,77.7842652485,84.0494992646,93.7058868073,93.5340192256,82.2630791574,58.3391710314,67.9273422023,72.1320332787,65.3883171432,69.5206045623,75.508583669,81.0180049522,91.5499266461,97.9780808988,103.1056402761,89.3969331938,79.9376737287,90.712436118,95.8351911569,95.4689398348,99.2264314066,104.1098415174,100,99.413088998,104.320554635,107.6691117072,100.8164664338,101.1118880433,106.9272498713,95.8685153707 +Republic of Moldova,146,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,44.8176042952,45.8799337158,46.8596646971,47.8422653492,48.718241855,54.5829876979,51.4360160117,36.7202575908,39.5417978044,42.8207935206,44.5805487132,49.8220086199,60.8697650759,65.1311147041,70.8920611433,88.8784112332,113.3860346754,108.3524937707,108.0978749689,123.2351138084,128.3091963581,128.3083337402,122.3723183021,100,99.8114006996,114.2178371907,129.7526708026,130.7562010723,139.8589444042,141.5829454276,158.5487033449 +Romania,183,GDP Deflator,22024,"Value US$, 2015 prices",6179,28.7403101972,30.1972046572,31.5025547578,33.2288571818,30.9869838151,30.2579465093,30.6067194065,30.514777251,33.5321185126,34.0295664613,33.6360642349,40.7623956633,45.7358730037,39.7969597306,32.1854128675,40.0594136453,42.6163075544,47.2619308259,49.1117474163,46.4428699238,35.0983491211,30.4081829504,22.6171817081,29.994311891,32.9232336905,36.1047147587,34.2755571984,34.7078676487,41.5223651381,35.9387237244,36.3442546382,37.4544924635,40.4076631957,49.5465551153,58.1924526916,73.009349459,83.76219882,111.7605194817,125.5102432041,107.9132692619,109.6671339032,118.8644887096,108.4575943218,114.6002102688,115.8203556842,100,101.2683124991,106.1542803228,115.9204179511,115.1526534966,119.7132663421,128.7327480213,129.6709763599 +Russian Federation,185,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,52.1124187827,53.3476600796,54.4868586602,55.6293939984,56.6479503278,57.7076156816,40.7935792495,27.7336864722,33.4106148504,37.5330378793,40.3758611976,46.9974372543,60.2144855515,73.1839182669,87.6755092981,106.0588838937,128.7712823547,102.8388649575,122.7357072641,156.8425619316,162.7413731995,166.0301914665,148.0488053167,100,93.4605728348,113.1649674534,115.8877141499,115.8436622264,104.6914956614,119.3663322161,148.6658056152 +Rwanda,184,GDP Deflator,22024,"Value US$, 2015 prices",6179,21.4706082521,25.5006095194,28.6192678879,34.3346361694,44.6799916102,54.9837471269,51.311005778,57.1181561841,63.0903876621,70.6512841375,73.3469307425,78.0086895039,76.6322017753,76.0315286687,85.1790249542,88.175573372,94.8798502382,105.9519800069,114.2529153742,112.8432472563,112.2664331658,86.7361022966,85.9159594847,91.0592500219,109.5194382534,88.3831746302,83.2645801778,97.9643851815,96.4375525617,85.5146641352,75.6916321912,66.324318421,58.6228002193,62.3650858831,64.479307073,72.7680501362,75.3999498922,85.848730232,98.2860048327,101.3552298124,101.9067063924,106.1218796554,108.603560583,105.9482419489,105.2119724626,100,96.1915541405,98.4964928454,94.5342973537,92.7518625017,94.3828671136,92.5256028372,103.016030321 +Saint Kitts and Nevis,188,GDP Deflator,22024,"Value US$, 2015 prices",6179,18.1863311864,20.5468785609,22.9604918574,23.2647729011,28.7154014605,29.6309595462,23.5938885542,22.9910096723,24.58086336,27.192709337,29.1753820077,33.9474018228,35.9050903296,35.8353816874,37.3614373366,38.7482601197,41.1493999751,43.662071278,46.7231864413,49.3812388954,53.1357074966,54.9631607259,57.8747322548,59.0269315349,62.729170108,63.2206571985,63.6289462654,66.7564074253,68.6257080531,70.5335172824,66.8359279148,69.7176612653,71.5268184061,71.8921692761,75.418751425599993,74.4872239047,84.2825077399,89.1072502152,90.8275670412,93.6156853605,94.2041060143,99.5357320116,98.7799359301,99.0501760837,100.3071052891,100,101.3523732983,106.4561772756,106.0865709396,104.8878128699,97.9814768996,96.2053142768,98.5883832136 +Saint Lucia,189,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.6594772509,12.6962480324,14.1803626783,15.7236615824,20.2011856021,22.4391697643,19.6478701303,19.6560022083,21.4033327547,25.2777601577,31.4303853403,35.09597079,36.8651541915,37.8528660572,39.063359464,40.376581775,41.9129281886,44.6787262755,44.5633265743,46.9873595187,49.7495251655,53.2198284749,55.1029687861,54.9830007204,56.3050406277,59.3335663861,58.9920134835,60.3216161749,62.2531559728,64.0863646176,65.0073303153,63.5100196655,63.5659070682,66.225131151,67.8215754022,71.9646937591,76.7631975663,79.3418084668,81.3816836169,80.574563414,85.0806981197,86.5317253239,88.1836482341,93.3521938853,97.1202730642,100,99.6524155436,103.0551668786,103.552734431,106.3116480092,101.8791336678,104.3283120084,110.3855017004 +Saint Vincent and the Grenadines,191,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.1810712354,11.8015927762,12.9027072905,15.8710050066,18.998171216,20.7585483669,18.2631075382,20.3498594225,23.4489122937,26.3417408994,28.8171734216,33.8247232386,37.5264749252,41.1740307152,42.0404101068,43.4923435816,46.4454008048,51.6546462738,52.2797904412,55.8613790322,59.7812907384,63.3084196482,65.4333639355,65.4093745884,68.0138642109,68.7966458049,71.4079746651,72.7405776618,74.7353599046,74.5488736449,74.3680893843,78.9192424456,79.0822154308,77.3634027062,80.2623129046,82.5927523123,85.6504112272,91.9257304694,94.001462984,92.9260547214,98.1121663068,97.7990009315,98.8681705127,101.084546775,100.7392693689,100,99.402901907,101.7709042048,103.0333851297,105.6150970529,106.8819825672,107.3672295295,111.2530635936 +Samoa,244,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.6210467591,13.0684343059,14.9770547112,18.4733822251,23.3685569983,24.2775092927,20.1920425913,23.5317013046,24.382574025,24.4255284264,26.7049051121,27.6000544602,28.5966142312,26.2757608678,25.3248605018,21.3285657429,21.352983526,23.5168200712,28.3905788129,25.291100306,27.0955770856,27.6758819074,29.2341700863,28.2536963502,48.4390192768,45.1637235582,47.2827739933,50.7706411575,46.5338274656,46.0313062841,43.2624506558,41.4888465363,44.3650741713,51.1305745787,58.6062217103,62.9573791699,64.9378059446,87.3570102372,91.0595838563,84.2008935292,92.5274771929,101.4386979088,104.9501739088,105.332714821,105.1488518026,100,100.9044850439,102.7437029807,101.2145786878,100.4838364237,101.5227662305,107.4161724202,108.6268033233 +Sao Tome and Principe,193,GDP Deflator,22024,"Value US$, 2015 prices",6179,41.8324079046,39.7806627401,43.2088796919,57.5002623106,56.1625151077,55.401687524,47.1961478922,36.1601606477,39.3104384338,40.3633716602,50.6752198198,57.7739387249,53.8987358878,52.4420286055,58.1133976824,56.2409135416,83.6878057958,86.2318345243,72.1821287097,69.665709917,86.1921708504,76.7291544182,67.2529974154,88.1759940624,90.1177011815,69.7552743606,89.5964591059,60.3195127397,46.2778644604,48.2826088625,47.3807359007,45.8227505432,50.4103246123,56.0189897652,59.0009626189,65.9860883268,64.4257869183,67.6801669521,80.6598179127,78.6652524871,77.5272479127,87.7101571653,92.0927566597,105.3837232521,113.9160607078,100,104.8370558556,109.970892666,117.1958839327,118.8782672777,127.5874918086,145.8862319406,149.1221989163 +Saudi Arabia,194,GDP Deflator,22024,"Value US$, 2015 prices",6179,4.3182196181,4.7876429434,5.2386025676,6.5252131516,17.0567702406,19.2899973609,22.4042740375,24.248749753,27.6800208122,34.4663487082,47.9863254303,52.7223011517,55.3035498417,55.5346267582,53.9439371873,51.9344030353,37.1175965953,39.1576270052,35.653548593,38.7118295353,41.4609529594,40.5229088343,40.4027201068,39.7303183231,40.1654118688,42.5022626119,45.8356809328,47.4214040732,40.8138528089,46.7271389095,51.8427868017,50.9891479805,54.0264685787,55.2780645313,61.3897863353,73.8170406607,82.405232162,89.2968316853,105.0231971604,88.5206605487,103.7385331613,119.848457006,124.6610163615,123.1446897002,120.3493030436,100,96.9535934555,104.28891984,120.6407623834,118.3307397956,108.0396642972,124.0155276973,145.4975021895 +Senegal,195,GDP Deflator,22024,"Value US$, 2015 prices",6179,25.5731097578,26.4620118253,30.0775103845,36.6280472289,39.6405123881,49.6601833144,46.2152732415,48.6389456601,57.7786219696,65.7576545527,73.801776897,61.9625669397,55.9696889778,52.5726629182,51.6333003324,54.8764372669,76.620534751,90.0437755225,92.8022633168,87.4427090153,103.6563591415,100.4383289437,107.691681438,99.2338747175,64.6899139352,75.9115161576,74.9961303838,67.0776808277,68.1923312791,65.5639192771,57.4400086904,59.6920438807,63.9752206635,76.0124541376,83.5133798435,87.5913512249,90.9078051476,105.7171596517,122.4411175009,114.1576552399,110.5814909288,120.5452707986,115.0644731042,120.3147887741,118.4011427638,100,100.7936901286,103.484298337,107.2726414006,103.8160548912,107.2492759226,114.018839636,109.9293561849 +Serbia,272,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,94.2863707303,117.7319165361,134.7201348634,119.8451960944,110.1675931905,127.1741681982,112.5826996428,122.2645594917,120.8196322881,100,99.2990788103,105.5881187671,115.8248663464,112.9310348319,118.0375775133,129.9740708828,127.9579686295 +Seychelles,196,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.9405520334,12.2828325904,16.1191688265,17.7959641459,20.5372388605,22.0591704239,19.5568167286,23.5701297955,28.7688261743,37.2328506756,44.4746862598,49.3922104552,48.3422470041,48.8186973167,46.7794587918,47.3444504114,57.8242590519,66.119917982,71.4760237661,69.605742343,78.3285709439,77.4317775991,83.6570838737,85.2565167458,88.4106408643,93.6556600006,90.3491823818,88.4957460318,85.9825487388,86.2446860563,85.8073533588,87.7008014677,97.2412197889,104.8610838419,106.1308524122,106.6157707761,107.7672672072,99.256339419,94.9044501361,84.0834826802,90.8416532962,90.5164310717,90.8204680593,107.3818284765,103.9059788641,100,99.7613040675,101.7712551539,101.8511809065,100.619441093,79.2400244417,84.1651174095,95.4974290069 +Sierra Leone,197,GDP Deflator,22024,"Value US$, 2015 prices",6179,22.4091009453,23.757873427,25.9532222473,28.6086335519,31.8309635733,34.0188069909,31.8467264522,35.9782295934,44.7174078128,49.0123740624,53.746410588,55.4091795512,61.2298796328,53.2825369113,62.571106012,49.1745656537,34.000391634,27.7246108515,42.4102789747,38.711016059,27.1112136439,35.378679981,34.1348549576,38.5765202958,44.2029673934,46.9136475564,67.4578790044,73.9106161558,58.9420348942,63.8680584291,58.4442329822,62.664231276,56.9722435576,57.6268606934,56.5080266419,61.6107793422,67.5168987518,71.5430140268,78.7868469229,74.783939025,74.5790494118,80.0677008809,89.8137636701,96.2896691737,93.8660242332,100,85.503843712,79.7586427063,84.2277956393,79.8559682542,81.1866678883,81.5620707771,73.6312537693 +Singapore,200,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.2398679963,13.930296142,15.9753175122,20.6994017108,24.2791252008,25.6730111067,25.0624820473,25.8948581738,28.900747907,31.8050589236,35.8945874937,38.516459943,39.7481562092,41.5322138512,41.4662836897,39.613178271,39.5252754621,41.0835843475,45.3283709883,48.7187398575,54.8829678836,60.1367625334,64.6612698236,67.4396925673,73.8094034154,82.0481484758,83.7171772937,80.3615710566,70.3518549012,66.9765541487,68.3932003961,64.6114896807,64.0779330496,64.6811766631,69.3851495449,71.8059991419,76.6045914458,85.5422037078,89.8560049471,89.9944762032,96.8916589988,106.2664332054,107.4849883609,106.8827835541,105.2720678905,100,99.9539783684,102.8007992836,108.9368001316,107.326734535,102.9606424414,110.0033306568,116.8991968131 +Slovakia,199,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,38.403448442,41.8343029104,49.5792966166,50.239514987,48.0060078816,48.0254221138,43.8602843984,43.1483899702,43.1823148681,47.8811806317,62.1618574932,74.9313047639,79.9052499282,85.8791702064,104.4298583906,124.173903061,120.8949830823,115.872594693,123.6608205167,115.7368301082,120.2084116163,119.8856946792,100,99.2262106208,102.5689536937,109.4060825083,106.2972903255,111.025862288,117.7069369773,112.6646242516 +Slovenia,198,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,55.9472990254,55.0508971597,59.3306500494,80.8631014178,78.9081567055,72.5279958429,74.8923607825,72.9212174355,62.8435444484,62.6424333646,68.0932296146,83.4421516531,92.8513793312,94.1046009376,97.0393309106,110.2955505678,123.3160248194,120.9245642753,114.1001708122,121.0066055989,112.3788365685,117.9876210233,118.4358069524,100,100.6089773391,104.2533913435,111.2875982271,107.880292243,111.456150906,118.4213817593,113.0532891081 +Solomon Islands,25,GDP Deflator,22024,"Value US$, 2015 prices",6179,17.9186366576,18.4086415331,19.6038850238,24.0702025848,28.853813768,28.0796934422,27.4919596561,27.8205062345,30.5698922489,33.2842055249,39.1824736583,41.3447541979,42.2300285111,34.3075667198,45.2647822019,40.4699389701,36.9517882967,36.3949881099,41.6457592647,37.0696852159,43.1275494547,44.5331015462,47.2875801062,50.4427081149,52.7911475869,54.7321797268,59.5601769024,61.386342677,52.2058452463,56.237525696,58.3253893863,62.7013329146,52.7676617627,56.9296931475,59.2386672614,65.1857216741,69.8844734724,75.9547294677,79.8375337483,80.5354394198,81.8446105859,90.2454154173,98.2181536727,101.1543416831,103.8266639345,100,99.9220524231,103.2866246534,110.4902973557,108.8379508388,106.8719015594,113.8282385628,119.8050203885 +Somalia,201,GDP Deflator,22024,"Value US$, 2015 prices",6179,31.6045096451,31.488498884,35.3745319426,43.4866594542,51.0861375422,58.8957935453,69.0668486495,30.9705284535,33.1489430139,35.899163998,39.1419630878,42.845632328,45.4927501033,47.2746043158,48.9801327691,50.5291026088,51.5467089592,52.821361142,54.6845931674,56.8284196213,58.9556947543,36.7794843726,39.7052853894,67.8331750394,97.0549054873,96.7047044122,104.5187612779,126.3262206809,160.1741905407,153.469194675,160.5483931811,98.9454763404,89.475845596,107.5505053111,136.6172420096,154.7674916196,156.0002920491,157.9625680888,161.2164230519,75.3406694111,64.368155926,65.2269663972,85.026530373400007,106.385682546,108.372226077,100,95.5862214289,94.6536820463,90.5908629181,97.6858151669,103.9792967606,111.9421229128,117.2589734494 +South Africa,202,GDP Deflator,22024,"Value US$, 2015 prices",6179,17.6768532892,18.7095973143,19.3255039908,25.3306099803,29.9841631137,30.4899095078,28.6307073939,31.828336871,35.5457816314,42.2626809446,57.0754489224,55.6818076265,51.2750116967,58.2532595146,49.0593941962,37.9309812221,43.3075435286,55.6502226875,57.4053312265,58.3500886727,68.3280446969,74.0914365862,82.1878401061,81.1197178272,81.9782550594,88.9522374171,81.0633337028,81.7889015171,73.6785525761,71.2622024345,68.4962606871,59.5215778376,54.7096479192,81.1082627239,100.7224774525,108.03851755,107.6149082977,111.961289745,102.9789618739,109.0945285772,134.0055877805,142.5986286716,132.0272279508,118.8274844932,111.3880056467,100,92.7689646362,107.9426773771,112.7714020858,108.1399213612,100.3332863171,118.6910437188,112.6663262807 +South Sudan,277,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,252.8217357903,279.2873834915,256.3122160002,100,56.3241278673,63.6187503361,65.1481828223,66.316907141,67.1822707783,70.2006306609, +Spain,203,GDP Deflator,22024,"Value US$, 2015 prices",6179,10.6045130465,11.524018194,13.5168814762,16.6785270577,19.530215691,22.9188122323,22.9086569751,24.8945806884,29.7540537851,39.7380950762,42.1697082721,36.7963403556,35.1223442189,30.0987865906,29.771550472,30.5655611819,41.1494851001,49.4457422636,55.5247879138,58.4058320469,72.7969592177,76.3639577119,82.7083606214,69.5565997338,68.6427154804,77.3844167195,78.8151306611,69.7888840504,70.1514572058,68.8116207123,61.4879770401,62.1747446701,68.0616009872,84.8315329098,96.9518889758,101.0841425811,106.0271512761,119.6298594989,130.9210354718,124.3395249906,118.7245247813,124.5902603184,115.0233553607,119.3345992681,118.9773316076,100,100.0584113677,103.5144235593,109.5605235734,105.3600291897,108.8159516792,115.2712643696,107.0242496337 +Sri Lanka,38,GDP Deflator,22024,"Value US$, 2015 prices",6179,30.0847650822,30.6329451551,33.1674865292,34.8622147806,41.7395230279,41.7659526957,38.2861115162,41.6083988374,26.2390638768,30.2090511945,34.2585795565,34.4911062564,34.9864699303,36.1087785525,39.2981056857,37.5232737726,38.1331729109,39.0976116963,40.8016114891,40.0584977857,43.4488898206,46.6819330796,48.1566962478,48.405308542,51.9271718397,54.2607843591,56.4744069965,57.4161992455,56.9458865702,54.241319371,53.0946039734,51.6719897089,52.9442755812,55.1750694961,57.2588480628,63.6626079778,68.5127919572,73.3862062724,87.172107461,86.9892372748,94.8907973667,100.7535784004,96.7538024991,101.6210277683,103.3823350269,100,97.8396765741,100.2224802918,97.640895732,91.0140967053,91.1270640363,92.6244334434,86.3768778615 +Sudan,276,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,88.2370518327,84.8058700458,96.7697781614,100,103.1486691961,134.1495107776,51.6917081937,37.0638355307,37.5474783442,39.2344085535,59.7860810345 +Sudan (former),206,GDP Deflator,22024,"Value US$, 2015 prices",6179,9.5806168185,10.1679876413,13.2743343131,16.9703411618,18.5513821471,19.9886637518,21.3666719293,23.6351156992,27.0335070108,31.4400652384,34.9112768915,39.1678326623,29.0471894429,27.5617338897,39.6749632508,35.3033220993,41.8943603563,54.4182129782,49.6071580382,51.5519313564,53.4816901349,44.9528138088,45.9772481229,47.0670650404,42.1204158489,42.9569058083,26.4453697166,30.4829437361,30.0401980008,28.2657982212,31.8665656975,34.5237557954,37.5898665797,41.214138485,48.8939128967,59.2069287248,71.4968237097,88.7694370978,,,,,,,,,,,,,,, +Suriname,207,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.9889916764,20.5108824753,21.3616644372,22.5483984432,29.319753874,30.2509481694,30.1495552832,34.6580010744,37.689303574,42.6135398392,47.3373836561,49.4373657544,53.1200661988,53.3832764774,53.2097247073,47.1812117594,48.9853175407,58.1367117322,63.3863660717,28.7563139742,29.8327576276,30.8416303559,31.5444834536,32.2921948353,32.9817700194,33.6733649964,41.5818614723,42.1297499528,49.3613421119,41.3500728886,41.9348466117,35.5299910632,45.3392057548,49.629474325,53.2616497052,62.2455692693,70.4839751239,74.9797669863,86.618033877,92.2345620779,98.8582576397,94.5489259142,103.6758330313,104.0762562728,105.730755102,100,64.4314824479,68.5335079401,72.5865783737,80.9447184871,94.1677387404,75.0404399728,82.7153206147 +Sweden,210,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.4200019775,20.9927818414,24.1706329326,28.2116302802,30.3778900019,37.1928501239,39.6792516475,42.6267175553,46.3165092142,52.693991893,59.6682986646,54.21170801,47.2239985372,42.5483203881,42.4493918561,43.4245079161,55.7646657881,65.6102468527,72.3556672285,74.2168429123,88.4971176398,93.75697704,98.345722863,75.2136413456,77.8347732684,87.4018541348,93.909351579,83.7416903719,81.0776556676,78.7109907505,72.049663259,65.4973719061,70.5548745566,86.4031542229,95.3898165092,94.448309162,97.3435198763,109.2685516516,115.6732559768,101.9619753851,109.3015146081,122.6398731223,118.7218374293,124.6246999503,120.3891246045,100,100.0178922698,102.3103311921,103.0312615675,97.100557348,101.7039177998,112.4695813354,100.813845567 +Switzerland,211,GDP Deflator,22024,"Value US$, 2015 prices",6179,7.4830878994,8.6402919831,10.2687025135,13.4008050325,15.2224651298,18.8225858432,19.9679684399,20.8200649434,28.9981573264,31.8034482042,32.411184771,29.2155169631,30.3422478344,30.0414127465,27.8471794062,27.2342022262,38.3278030603,47.2514023618,49.4956088457,45.8039219326,56.4236304416,57.6161550113,60.0024055319,58.4290410416,63.8727448904,74.4228846287,71.3994136391,60.5159560621,60.4591298471,58.3757107991,52.6272739628,53.1790521352,57.4314255869,67.2582421338,73.061589568,73.6447383888,74.7135398451,79.8991381595,89.849390927300007,89.805847622,94.014635441,110.3733488045,104.5260790604,105.7171883546,106.3265162275,100,97.0817992075,96.7869435909,98.1902095991,96.5114068028,101.6515373215,105.9318232646,104.7104701655 +Syrian Arab Republic,212,GDP Deflator,22024,"Value US$, 2015 prices",6179,35.2763892456,37.6991582799,34.8082502109,40.7616470442,52.6705390612,57.216803928,62.0311959462,68.7578185522,75.8359769486,87.963008728,102.469776278,120.0498591909,122.9364053977,129.1384550356,138.3871180258,67.8050790778,69.1706065757,70.8810642643,73.3813381321,76.2581420873,79.1127358,81.7881398844,83.6520182467,85.6348551582,63.6239719043,64.958103437,66.1474654387,67.2881137714,68.0454742324,71.9177031355,78.8944294265,81.2004138633,78.056900148,74.3048894535,81.7980342758,89.0944368776,98.8876888642,113.8225084136,142.1825922068,138.2141785481,149.3067536932,158.8715641886,150.1194510754,117.4886130526,113.6296215216,100,70.5322216353,90.2627421561,116.391079078,135.0588284891,131.6776334697,115.2219572224,110.6790821731 +Tajikistan,208,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,40.1515581438,41.1032864248,41.9810157462,42.8613159725,43.6460928988,37.9017710117,51.5486185297,40.9193766744,30.2598446972,34.6920331131,35.3650933487,40.5326508301,49.0675896344,51.2100479304,58.8009258939,71.7144495135,92.4991900072,85.7915370474,91.2462281961,103.0028155958,113.0452651546,118.2769068845,121.4237667376,100,79.0440472694,79.5781544669,76.2220328728,75.8370165882,71.1824580984,70.0927240576,76.1871416515 +Thailand,216,GDP Deflator,22024,"Value US$, 2015 prices",6179,21.2842523353,21.1079117636,22.4841448425,27.1300966982,32.8683138062,34.0495164387,35.5280289189,37.6469536378,41.3731765943,44.7871417736,50.2219073568,51.0741345176,50.9053104611,52.762924632,52.0793933224,46.3171892438,48.6227343565,52.0596768099,56.0758197909,58.5594780381,62.2487739555,65.7124587911,68.6619897682,70.446807832,74.2360213907,79.2370588572,81.0928567646,68.4207232897,56.0698421409,59.7470757305,57.0736103395,52.5123916327,55.2295941216,58.4233531703,62.4073906726,65.5886596791,73.1913483882,82.3105154506,89.665999771,87.2923872105,98.3101670232,105.983672089,105.9522310852,109.0903396781,104.6870787459,100,99.5868292434,105.5350309231,112.4414510373,118.1808708964,115.8311648522,115.3573280072,110.1651965972 +Timor-Leste,176,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,27.971761026,29.1080018942,33.5195096853,35.1138628976,36.1226589662,37.2287288805,39.2298517178,35.0626616427,40.8475926977,43.792741963,44.1140183186,49.3154789508,51.9721469009,55.5014088362,49.6815452463,50.5811356983,51.7810115887,56.1889312708,60.2954164382,61.4456541027,68.0160813973,75.8824306969,80.5607435781,94.0006129389,93.2801193853,100,100.1354013523,101.1169828498,99.8171440494,107.9695651953,90.8602370667,94.2899121381,99.8282585405 +Togo,217,GDP Deflator,22024,"Value US$, 2015 prices",6179,20.1953585528,21.2355683931,23.8976319667,29.1089512915,37.3676134752,41.4774143427,39.7099666981,45.3091753672,50.9953276921,57.4556738838,66.9381215326,59.9240344799,53.7940370367,51.0140858448,45.5280276825,46.5739075418,63.9855138539,77.2544256942,85.0359920454,80.1496834679,91.1428596116,89.8490814293,97.4154810027,88.7391792169,60.3676355809,74.6710336826,75.8069053592,74.3675063575,72.0349066999,70.3230044258,60.2122305721,59.4377957874,65.6551132821,76.4571669362,82.5106483834,87.4943602869,87.8113587823,100.5642588651,117.3961441015,114.8050212076,109.3504401057,118.0119028468,110.9843814925,116.6186689999,117.08943731,100,99.840321474,100.993432237,106.0554331051,100.5537054463,103.6647523152,109.5544410982,100.9590817207 +Tonga,219,GDP Deflator,22024,"Value US$, 2015 prices",6179,13.1358995694,14.5371107001,17.050809549,24.7231832157,32.2139779495,29.0412390424,26.6763434782,28.9176139753,34.5214146096,36.3739557414,42.4194530911,38.6289937991,35.063609204,33.3237890088,32.6962977242,26.2213354186,30.7218091675,35.8717990813,50.4078637924,52.4481179421,57.2366742937,64.789228729,63.7862589355,60.6932130037,59.5874451339,61.7161293685,65.5641584546,63.874424032,55.6128214216,55.9742549213,52.2391391308,45.0122336605,46.8318942278,53.3668251808,62.9113052441,68.9320945246,78.206691861,83.9607980786,89.0633671521,89.2624181618,102.6579991722,113.7093677235,119.1291222896,112.7496644031,108.3043333465,100,97.9433809229,103.8960693809,107.7416905752,113.3129325987,108.1018766624,107.6221805105,113.6786485378 +Trinidad and Tobago,220,GDP Deflator,22024,"Value US$, 2015 prices",6179,12.5741643431,13.5774493465,15.5105525481,18.4273281561,27.7004272048,32.6570520646,31.4119174543,36.1420864174,37.2829467448,46.4840091935,57.0672439797,61.1827453163,68.6209683733,72.9695418966,77.355255584,76.7168137236,51.5588470262,54.0598314838,52.7373927534,51.1195773072,59.0406588139,60.220406578,62.7466087737,53.5708959227,55.9147878543,57.9394002055,58.4989300238,54.1147666378,52.701113634,54.9868409154,61.5999804733,63.9937136472,60.5243555105,66.3733713245,72.2255050075,81.8389132114,82.8619776818,93.4489396466,116.3922179244,83.7584785834,93.5270618428,107.8373574284,107.5535740663,109.055098222,108.9908378155,100,93.8512754299,99.7507105828,102.846409995,100.7365451401,96.3483221453,113.0677507142,125.8419918547 +Tunisia,222,GDP Deflator,22024,"Value US$, 2015 prices",6179,27.574257067,29.3550458778,33.1026093457,40.6627780533,48.8645788315,55.6772746176,53.7372914802,58.9059897287,64.6348110737,73.0565324424,82.7218400043,75.5729744662,73.2821242587,69.709193358,65.3902435066,64.7954152131,70.8950978297,72.6664778624,74.4531492108,72.0010283476,81.9685339312,83.3450858885,92.0920171303,84.9532535317,88.1100521368,99.2865161948,100.6600570933,92.1033602365,92.2161654439,91.5315643652,82.1366639544,81.3153382162,84.1665365138,95.3659192455,101.9644342702,101.9677333518,103.2049346267,109.4849505648,121.0771975127,113.8243448572,111.4694569189,118.1902155267,111.6471895734,111.4950417097,111.6170947541,100,91.3219068611,84.894735557,83.7768455586,81.0262407383,90.0104518513,94.6951148552,92.3216513791 +Turkiye,223,GDP Deflator,22024,"Value US$, 2015 prices",6179,21.5501140032,19.2249530657,22.4985844187,27.3905168686,35.7384371094,41.6787700124,43.1987540138,47.630943064,51.7919850247,71.1540682337,54.6879204219,53.8579324555,47.2526913884,43.0166827467,39.2068445897,42.1534407157,44.3657110803,46.6444837534,47.6070411507,56.0022040731,72.0844502592,71.5957648532,71.1551943984,74.6872742136,57.2054693447,69.1622688992,69.2706570099,67.4074707646,68.9770552168,66.2531649935,66.2827210295,51.7275126097,57.8664159887,71.6445111783,84.8055798611,96.3537876421,99.1265752065,115.4139553413,129.4569135743,114.6273348289,126.5070821799,122.8167815355,123.0410801907,123.3657524044,115.2432817141,100,97.3850000215,89.4750533568,78.7422462886,76.2690956956,70.9143561769,72.4145480738,75.9475227665 +Turkmenistan,213,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,20.2088073055,20.687824667,21.1295973792,21.5726640616,21.9676526092,27.9360159322,27.8425023665,32.2093659567,39.0540670494,51.2492756288,65.8494571348,82.6480493039,84.8666172305,87.5278510481,90.2285854448,92.6670715599,94.4443802593,83.1686115179,79.9651936779,91.7244395211,103.9584194217,116.2745780346,124.3323298335,100,101.3164246292,107.5917339774,111.9904615083,126.0973895476,130.4893187565,145.8679965128,207.1556221699 +Tuvalu,227,GDP Deflator,22024,"Value US$, 2015 prices",6179,23.3291130958,25.1963130316,28.3193719379,36.0805685509,38.925607287,37.8885672416,37.7139433015,36.5863711055,40.496232615,42.1902533507,45.6265120579,48.8714684176,46.6486132552,45.1811250541,45.6837344897,37.6866027439,38.2178854474,41.3664506722,49.1365389207,54.6529085135,55.0550625931,56.5142022517,58.0366421789,49.8608430693,53.9416582002,58.4441036225,66.0097479926,67.0217473049,54.2367076437,57.8904805246,51.270074336,48.5075616405,52.6838293775,64.2557194723,76.9926140561,80.4903235977,82.6088393363,91.6667891422,95.0660298851,88.9859345008,107.319791586,121.6634800049,123.1008446246,117.045346547,114.6691228324,100,106.5916020821,113.1514060709,118.3620502794,117.2956717371,117.0447364736,133.7629809376,133.2008026684 +Uganda,226,GDP Deflator,22024,"Value US$, 2015 prices",6179,34.6930375133,37.3602207262,40.5933143759,47.5087129936,57.5340444505,66.9868351925,70.6733795758,75.0645757895,80.3444910197,87.0103175912,94.8700264886,103.8467658039,110.2626967806,114.5814519732,118.7152132048,122.4695167229,137.4154775024,144.4864032436,153.2338284814,126.6049975521,84.3410153915,64.8030033881,66.5162663319,64.2151784462,91.1367980299,97.4739747517,92.9900413747,94.9241393273,83.4056308195,74.2799178265,67.6149064505,64.6238433961,63.4992257643,63.2186757128,71.5010410448,77.3571892875,79.2518575383,90.2398745344,98.7794335548,126.514388132,129.9719776359,115.1020812684,120.5298084795,92.1314733364,141.25814892,100,102.9894046444,99.6679581033,101.8528017092,104.7621092991,107.0668369049,112.4603260458,114.621155019 +Ukraine,230,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,61.4531902581,62.9098395598,64.253231188,65.6005576632,66.8016827954,77.5020767226,66.0066768253,49.8511248884,46.6021770005,51.8005230013,55.0351421937,59.4182958485,68.6896649288,88.4755402121,103.1200666875,126.6751070987,156.6962148803,119.3128693355,133.1445077106,151.4428580238,162.7682979274,169.785782345,132.324804355,100,100.1102920921,117.4291086333,132.5029361457,150.9484271502,159.6212446559,197.3074236574,223.593089637 +United Arab Emirates,225,GDP Deflator,22024,"Value US$, 2015 prices",6179,3.7148157502,4.4452782016,5.8451800262,9.8956081685,23.8336227508,28.4303753167,32.2550821707,35.5542323016,34.803502014,36.6000525234,40.4232593101,44.4760668349,45.8118067456,44.2852277971,41.4644632329,41.2556831874,42.5600817905,42.9339807065,43.8569387062,44.1557358877,45.8523072058,46.2240569396,47.0592045494,47.6607522617,46.7887838343,47.929386305,50.6667984173,49.9698406166,47.1964723494,50.4542904903,55.5526413648,54.2600237342,56.3061272085,58.5991216781,63.5807765568,74.0883473336,82.9509397387,93.3480349286,110.6485659568,93.8487986189,104.175435828,117.8905123797,120.5285389366,119.486506642,118.2619308162,100,96.806780997,102.1264164982,110.5074589489,105.5964664877,95.0101694098,103.9270030591,118.324442207 +United Kingdom of Great Britain and Northern Ireland,229,GDP Deflator,22024,"Value US$, 2015 prices",6179,11.919174648,13.0509973761,14.3570329762,15.2684594892,16.7634015943,19.9507990642,18.6548581559,20.5922883152,25.2299675292,31.7851623443,41.7517528519,40.2781143806,37.6123625709,34.3083682337,31.6206009466,32.1886173357,38.3617480131,45.0937967886,52.0954050843,51.7212481541,60.5555439961,64.00643981,65.8118704182,57.7763169244,59.7765680657,68.7317988131,71.225560737,74.8530989616,76.8962502974,76.1984222167,72.1903482168,69.9326994013,74.4263505948,83.1217329691,95.6837226839,97.8803550321,102.0288091148,113.5386652251,107.7835050752,93.0803031974,93.6472532599,99.1666884452,99.2149430597,100.3211062169,106.9413679729,100,90.0365652855,87.3595618119,92.129040186,90.0097814162,95.7713893597,103.1235006229,97.4166667059 +United Republic of Tanzania,215,GDP Deflator,22024,"Value US$, 2015 prices",6179,34.568322845,35.500128047,37.8660163195,43.8457491338,51.376737562,55.8453568337,56.8512494324,67.6473965051,80.0557575518,82.002174369,92.6516379022,107.4230097919,113.0044739958,116.7733920485,103.7616775369,109.4005036373,75.8492041584,50.651037413,56.7265662634,58.2602296348,53.2506023313,56.9396477208,49.0461278347,43.0077530493,43.0449984619,48.4771895215,57.4271655871,65.6697894005,68.9725042637,67.3863942434,67.4985529294,64.9331316467,63.0378566883,63.5976743613,64.9666971466,66.7635600875,70.2035081644,74.8209091531,90.2544561526,89.3100407957,91.4403584973,91.4045774998,100.5400784842,109.0722519447,112.0147801997,100,98.3654952612,98.7671389339,98.9681167888,99.090392215,101.9829588334,103.844932158,106.5381434145 +United States of America,231,GDP Deflator,22024,"Value US$, 2015 prices",6179,20.6928344253,21.74178886,22.6816323521,23.92455875,26.0774567303,28.4929103807,30.0609853379,31.9287845826,34.1746012575,37.0099165634,40.3530507865,44.171314899,46.9003368896,48.7373232812,50.4956223256,52.0925186915,53.1416107016,54.4557017746,56.3765838819,58.5867422631,60.7798372105,62.8352663785,64.26722575,65.7905772493,67.1954848331,68.6045074464,69.860633934,71.065312225,71.8651868924,72.877924997,74.529060668,76.2081258657,77.3958238962,78.9234017501,81.0419868742,83.5832885447,86.1623106452,88.4909030444,90.1881148921,90.7661704065,91.8570085298,93.7655165015,95.519460785,97.1920000605,99.0093969506,100,101.0021928642,102.9208744346,105.3951532917,107.2858872061,108.6858515528,113.5688811131,121.5246941806 +Uruguay,234,GDP Deflator,22024,"Value US$, 2015 prices",6179,14.5373773995,17.4432928884,14.2399884072,18.1180084435,24.3340923693,20.2834004188,20.4378764987,22.6240116625,25.7516362476,34.7257985325,45.2882404187,49.6142725237,44.836701219,27.5897932191,26.506295819200002,25.4892749286,29.0984561207,33.778115827,34.8591030551,35.2683300691,37.5302812175,43.6813444392,51.3190306553,58.2653874746,63.256554566,70.8843969455,71.3873526658,71.97412288,72.9307456473,70.2656880916,68.181040546,64.92784941,45.814813419,40.2352208667,43.5369276035,51.3976892061,55.6773936158,62.4842660161,75.6224885874,75.6371423942,89.2725095152,101.069653243,104.3363827971,111.9013554238,107.8345337421,100,97.2552217023,107.3967447963,107.3537803276,101.5334644735,94.6056354711,100.3900454391,110.8945091654 +USSR,228,GDP Deflator,22024,"Value US$, 2015 prices",6179,66.922599692,66.8622615645,73.6245713972,81.8638164181,77.967749645,84.5201667928,79.9084963141,81.4935227016,88.2176022551,91.6002521508,91.0405852201,83.406635622,82.0198283449,81.0721288188,73.6188738566,70.7323935738,64.8694818226,59.760165438,55.6198617431,51.9628801584,48.4636494292,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Uzbekistan,235,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,,,,63.1343121622,64.6308097621,66.010951396,67.395135519,68.6291187952,72.5874876123,67.115986418,73.2670264002,56.751214581,36.412473192,36.9799589057,36.4940174562,40.4060738131,44.9929623093,50.5520216619,59.4078245344,72.2865481982,76.3282983536,82.1496692058,92.4104644639,96.8730905459,97.2851216656,100.5628624044,100,94.3365528445,65.1274214994,52.409147242,56.4307314974,55.3736555741,59.591216313,65.1379926922 +Vanuatu,155,GDP Deflator,22024,"Value US$, 2015 prices",6179,32.1191764467,33.8163418523,43.7173113747,45.6090018277,33.8004558716,42.858151143,40.6017119591,42.9451091083,44.5759448717,56.4788919256,60.6710129892,50.7131880872,45.5453844645,36.8342658899,41.9613908109,39.4550820714,39.11710382,41.395539751,48.4757285062,45.9575836782,47.5996224606,50.5594310036,53.1261722317,52.3401200501,55.9608838851,60.6089595963,61.4180007707,60.4062000388,53.8671252978,54.5079918806,51.8023482687,50.8878884841,53.6371023201,62.1953716864,69.4237959192,71.3402899621,73.1687787179,83.3547149321,90.4309237637,87.8361851882,99.2829807167,110.8658674017,107.5170778507,108.1499374922,107.4487225132,100,102.3295363209,107.2251262887,108.3073825556,107.8599495746,109.7816470831,118.2542598473,117.7348584861 +Venezuela (Bolivarian Republic of),236,GDP Deflator,22024,"Value US$, 2015 prices",6179,10.7945351024,11.5032762411,12.249822787,13.7707879358,19.776800192,19.6421463644,20.6749053352,22.315324033,23.7693340823,28.7864801948,35.8974507977,40.4922628557,41.0596903405,43.3769961791,32.2576448937,33.3024360444,30.492843884,23.3853435073,27.7054022872,21.5534721277,22.9761057517,23.0198834391,24.5347364566,24.3151867004,24.4989222286,30.876424266,28.1966147821,33.3353772629,35.3665606171,40.3455566033,46.5262229506,47.213288569,39.1476169025,38.161979029,43.4339140545,50.9465685263,58.4663131961,67.4992614743,87.8384269276,94.7174022864,114.9407359025,88.6703848821,101.1363528019,97.1920000605,99.0093969506,100,101.0021928642,102.9208744346,105.3951532917,107.2858872061,108.6858515528,113.5688811131, +Viet Nam,237,GDP Deflator,22024,"Value US$, 2015 prices",6179,19.9145460362,20.9051771596,21.9468982572,23.0431279351,24.1925812311,25.3923211315,26.6592179644,27.9860858611,33.1819980368,33.9893826712,11.8166531181,8.7869777241,9.4426318174,13.2388371717,18.8232158463,16.8710546513,17.2108210723,17.6364119799,18.2585225598,18.974320217,18.565298202,20.6901996127,24.587039715,30.3914912079,34.4910595074,40.1029563631,43.6130049104,43.9010269605,42.0742313491,42.3331998338,43.0818627602,42.258570743,42.3368757259,44.4901325584,51.7713731946,56.0541707385,60.342488816,65.6981781615,79.6196021509,80.7881308117,83.0132618241,91.4679963346,98.2466560954,101.699638773,104.3905495188,100,100.7174001149,103.0672568607,105.7090087482,106.1653517047,106.987469005,110.1924715825,113.8984087624 +Yemen,249,GDP Deflator,22024,"Value US$, 2015 prices",6179,,,,,,,,,,,,,,,,,,,,23.5742955792,24.4567591969,25.283828477,25.860024254,26.4729946485,27.0383052523,27.605271673,28.1107153273,28.5954571138,25.388098152,29.1251078135,33.8237160367,33.0339230759,34.2637376779,35.85981362,39.4822084931,45.7870874595,52.4229589779,56.9277923579,64.9013347329,59.8818370125,62.4556143837,74.0965489986,77.3245493404,79.5385242823,85.5975654664,100,88.8119021667,97.5260529829,142.6045695362,68.4151243188,49.0419699338,52.3267236739,107.0003174693 +Yugoslav SFR,248,GDP Deflator,22024,"Value US$, 2015 prices",6179,17.850544809,17.7547991754,18.1776593043,23.044291455,27.764736945,30.9878940107,33.2363716935,37.2365887117,40.6293645041,48.6273525662,48.7611203336,47.3809408987,42.971093727,44.6541800253,47.1768275821,49.6277881237,51.6248539041,53.9438625565,56.9471502808,60.3458137805,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Zambia,251,GDP Deflator,22024,"Value US$, 2015 prices",6179,28.6737642165,28.6149808706,30.6357095231,39.499481366,47.0516254243,43.4852303355,44.7919054342,45.4801008509,51.3728375658,66.0733292859,71.683819023,67.2742417922,69.8856489082,63.3921397155,51.0153491859,44.2878507703,32.7657151261,31.9353717761,51.5656870311,58.2141366284,55.4308044059,50.3088671247,50.1413565886,46.4702129827,56.8127468937,57.4795081715,51.1327762729,58.922051808,48.627000335,44.7135447793,45.5183475231,49.1480488282,48.1705191934,52.6466259802,62.4254088037,77.964468658,110.6279838559,112.504175859,133.0108038982,104.2213133872,124.9249173725,142.9946800028,134.8548891632,137.3346820347,131.7122633488,100,99.1253914625,115.4554720129,112.8821330462,98.5841936043,78.787532105,88.6440034183,113.809443524 +Zimbabwe,181,GDP Deflator,22024,"Value US$, 2015 prices",6179,47.9254558794,50.9441799245,58.0078544742,69.2643086355,81.3032654217,88.4354500478,88.0967554801,94.8976692774,97.0324659365,110.8925616877,128.9602928634,137.883058947,143.2035012373,128.1646584408,106.8965043693,110.6482894379,119.4789361047,128.1204171899,138.0865780793,138.7902577442,137.6395533185,121.7053941234,107.9541698303,102.6980763539,102.0569298547,105.7845161018,117.3405542595,119.022092481,82.9746293548,81.8081006057,84.2126972827,83.7826413042,84.5084805951,86.1098342017,85.5553935124,86.4469825608,87.9490751959,89.7504056355,85.9565992278,82.0386023658,85.400876377,87.5813111187,91.1095913949,99.6471092153,99.395858176,100,102.1609923518,104.6555553054,107.2346922519,109.1261035348,110.4915692602,115.714101018,117.3677369261 diff --git a/yextension_L100_FoodBalanceSheet.R b/yextension_L100_FoodBalanceSheet.R new file mode 100644 index 000000000..78f57cf56 --- /dev/null +++ b/yextension_L100_FoodBalanceSheet.R @@ -0,0 +1,862 @@ +# Copyright 2019 Battelle Memorial Institute; see the LICENSE file. + +#' module_yextension_L100_FoodBalanceSheet +#' +#' Generate supply utilization balance in primary equivalent +#' +#' @param command API command to execute +#' @param ... other optional parameters, depending on command +#' @return Depends on \code{command}: either a vector of required inputs, a vector of output names, or (if +#' \code{command} is "MAKE") all the generated outputs: \code{FAO_Food_Macronutrient_All_2010_2019}, +#' \code{FAO_Food_MacronutrientRate_2010_2019_MaxValue} +#' @details This chunk aggregates supply utilization accounts into food balance sheet items +#' @importFrom assertthat assert_that +#' @importFrom dplyr summarize bind_rows filter if_else inner_join left_join mutate rename select n group_by_at +#' first case_when vars +#' @importFrom tibble tibble is_tibble +#' @importFrom tidyr complete drop_na gather nesting spread replace_na +#' @author XZ 2024 +module_yextension_L100_FoodBalanceSheet <- function(command, ...) { + + MODULE_INPUTS <- + c("FBS_wide", + "TM_bilateral_wide", + "Bal_new_all", + "QCL_CROP_PRIMARY", + "QCL_PROD", + "SUA_food_macronutrient_rate", + FILE = file.path(DIR_RAW_DATA_FAOSTAT, "Mapping_SUA_PrimaryEquivalent"), + FILE = file.path(DIR_RAW_DATA_FAOSTAT, "SUA_item_code_map"), + FILE = "GCAM/aglu/AGLU_ctry", + FILE = "GCAM/common/iso_GCAM_regID", + FILE = "GCAM/common/GCAM_region_names") + + MODULE_OUTPUTS <- + c("GCAM_APE_after2010", + "FAO_Food_Macronutrient_All_2010_2019", + "FAO_Food_MacronutrientRate_2010_2019_MaxValue") + + if(command == driver.DECLARE_INPUTS) { + return(MODULE_INPUTS) + } else if(command == driver.DECLARE_OUTPUTS) { + return(MODULE_OUTPUTS) + } else if(command == driver.MAKE) { + + all_data <- list(...)[[1]] + + Curr_Envir <- environment() + + # Load required inputs ---- + + get_data_list(all_data, MODULE_INPUTS, strip_attributes = TRUE) + + for (.DF in c("QCL_CROP_PRIMARY", "QCL_PROD")) { + get(.DF) %>% + # merge Sudan and South Sudan + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL(SUDAN2012_MERGE = T) %>% + assign(x = .DF, envir = Curr_Envir) + } + + ## *NonFodderProdArea ---- + QCL_CROP_PRIMARY %>% + filter(element == "Area harvested") %>% + mutate(item_set = "QCL_COMM_CROP_PRIMARY") %>% + bind_rows(QCL_PROD %>% + filter(!is.na(year))) %>% + select(-element_code) %>% + mutate(value = value / 1000, + unit = if_else(unit == "tonnes", "1000 tonnes", "1000 ha")) %>% + spread(year, value) -> + GCAMFAOSTAT_NonFodderProdArea + + + + TM_bilateral_wide %>% + gather_years() %>% + filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + filter(value > 0) %>% + FAOSTAT_AREA_RM_NONEXIST() %>% + rename(area_code1 = area_code, area_code = source_code) %>% + FAOSTAT_AREA_RM_NONEXIST() %>% + rename(source_code = area_code, area_code = area_code1) -> + TM_bilateral + + TM_bilateral %>% + mutate(value = value / 1000) %>% # change unit to 1000 tonnes + # only export quality data years + filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL(SUDAN2012_MERGE = T) %>% + # merge Sudan and South Sudan + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL( + .FAO_AREA_CODE_COL = "source_code", + .AREA_COL = "source", + SUDAN2012_MERGE = T + ) %>% + filter(value != 0.0) %>% + transmute(area_code, item_code, source_code, year, value) -> + GCAMFAOSTAT_BiTrade + + Bal_new_all %>% filter(value != 0.0) %>% + transmute(area_code, item_code, element, year, value) -> + GCAMFAOSTAT_SUA + + + + SUA_food_macronutrient_rate -> + GCAMFAOSTAT_MacroNutrientRate + + + # Fix Sudan with code 206 and 276 after 2012 + if (206 %in% GCAMFAOSTAT_MacroNutrientRate$area_code == F) { + GCAMFAOSTAT_MacroNutrientRate %>% + filter(area_code == 276) %>% mutate(area_code = 206) %>% + bind_rows(GCAMFAOSTAT_MacroNutrientRate) -> + GCAMFAOSTAT_MacroNutrientRate + } + + + + FBS_wide %>% gather_years() %>% + filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + FAOSTAT_AREA_RM_NONEXIST() -> FBS + + for (.DF in c("FBS")) { + get(.DF) %>% filter(year >= min(FAOSTAT_Hist_Year_FBS)) %>% + # merge Sudan and South Sudan + FAO_AREA_DISAGGREGATE_HIST_DISSOLUTION_ALL(SUDAN2012_MERGE = T) %>% + assign(x = .DF, envir = parent.env(environment())) } + + + + # Get Supply-utilization account (SUA) elements and use as factor + All_Bal_element <- levels(GCAMFAOSTAT_SUA$element) + All_Bal_element <- factor(All_Bal_element, levels = All_Bal_element) + + # Bilateral trade item indicator is added to SUA_item_code_map + # filter GCAMFAOSTAT_BiTrade to only include bilateral trade item to be + # consistent with GCAMFAOSTAT_SUA + BilaterialTrade_ItemCode <- SUA_item_code_map %>% filter(TM == TRUE) %>% distinct(item_code) %>% pull + GCAMFAOSTAT_BiTrade %>% + filter(item_code %in% BilaterialTrade_ItemCode) -> + GCAMFAOSTAT_BiTrade + SUA_item_code_map %>% select(item, item_code) -> SUA_item_code_map + + # Section1: [2010-2019] Region aggregation of supply-utilization-accounting data ---- + + # Note: the volume of data in this processing is quite large. Therefore we took + # extra care to be cognizant of processing speed and memory usage through section 1 and 2. + # In particular we rely on ID codes and factors are much as possible to speed up joins. + # In addition, we have filtered zero rows from the raw data to significantly reduce + # the overall volume. Unfortunately, this change makes the processing riddled with + # trap doors where we need to be extra careful to complete / refill zeros or risk loosing + # rows of legitimate data. + + # create a complete area / iso / GCAM region mapping + GCAMFAOSTAT_NonFodderProdArea %>% + select(area_code, area) %>% + distinct() %>% + left_join_error_no_match(AGLU_ctry %>% distinct(area_code = FAO_country_code, iso), by = c("area_code")) %>% + left_join_error_no_match(iso_GCAM_regID %>% select(iso, GCAM_region_ID), by = "iso") %>% + left_join_error_no_match(GCAM_region_names, by = "GCAM_region_ID") -> + Area_Region_Map + + # All regions + #Area_Region_Map %>% mutate(GCAM_region_ID = if_else(GCAM_region_ID %in% c(1, 11), GCAM_region_ID, 111)) %>% select(-region) -> Area_Region_Map + Area_Region_Map %>% mutate(GCAM_region_ID = area_code) -> Area_Region_Map + + # 1.1 Regional aggregation for SUA ---- + + # Aggregate SUA to GCAM regions + # Intra regional trade is removed when bilateral trade data is available + + GCAMFAOSTAT_SUA %>% + left_join_error_no_match(Area_Region_Map %>% select(area_code, GCAM_region_ID), by="area_code") %>% + group_by(GCAM_region_ID, item_code, element, year) %>% + summarize(value = sum(value), .groups = "drop") %>% + ungroup() -> + DF_SUA_Agg + + # Calculate intra regional trade + GCAMFAOSTAT_BiTrade %>% + left_join_error_no_match(Area_Region_Map %>% select(area_code, GCAM_region_ID), by="area_code") %>% + left_join_error_no_match(Area_Region_Map %>% select(source_code = area_code, source_GCAM_region_ID = GCAM_region_ID), by="source_code") %>% + filter(GCAM_region_ID == source_GCAM_region_ID) %>% + group_by(GCAM_region_ID, item_code, year) %>% + summarize(value = sum(value), .groups = "drop") %>% + ungroup() %>% + mutate(value = -value) -> + DF_INTRA_REG_TRADE + + # SUA has fewer items and years than the bilateral data set and in addition + # there are some small discrepancies zero import/export in SUA vs tiny amounts of trade + # in the bilateral. Doing a left_join here will drop these dependencies which is + # what we want. + bind_rows(DF_INTRA_REG_TRADE %>% mutate(element = All_Bal_element[All_Bal_element == "Export"]), + DF_INTRA_REG_TRADE %>% mutate(element = All_Bal_element[All_Bal_element == "Import"])) %>% + rename(TCL = value) %>% + right_join(DF_SUA_Agg, by = c("GCAM_region_ID", "item_code", "year", "element")) %>% + mutate(value = if_else(is.na(TCL), value, value + TCL)) %>% + select(-TCL) %>% + filter(value != 0.0) -> + DF_SUA_Agg_TradeAdj + + + # need to remove gross trade when export > production + # to maintain triangle the inequality rule + # Note that Prod < export is still possible due to "residuals" + DF_SUA_Agg_TradeAdj %>% + filter(element %in% c("Production", "Import", "Export")) %>% + spread(element, value, fill=0.0) %>% + mutate(value = pmax(Production - Export, -Import)) %>% + filter(value < 0) %>% + select(-Production, -Import, -Export) -> + GrossTradeRM + + bind_rows(GrossTradeRM %>% mutate(element = All_Bal_element[All_Bal_element == "Export"]), + GrossTradeRM %>% mutate(element = All_Bal_element[All_Bal_element == "Import"]), + DF_SUA_Agg_TradeAdj) %>% + group_by(GCAM_region_ID, item_code, element, year) %>% + summarize(value = sum(value), .groups = "drop") %>% + ungroup() -> + FAO_SUA_Kt_2010to2019_R + + + Min_SUA_Year <- min(FAO_SUA_Kt_2010to2019_R$year) + FAO_SUA_Kt_2010to2019 <- GCAMFAOSTAT_SUA + ## Clean up + rm(GCAMFAOSTAT_SUA) + rm(GCAMFAOSTAT_BiTrade) + ## Done Section1 ---- + #****************************---- + + # Section2: [2010-2019] Primary equivalent aggregation to GCAM commodities ---- + + Mapping_SUA_PrimaryEquivalent %>% + left_join_error_no_match(SUA_item_code_map %>% rename(sink_item_code = item_code), by=c("sink_item" = "item")) %>% + left_join_error_no_match(SUA_item_code_map %>% rename(source_item_code = item_code), by=c("source_item" = "item")) %>% + mutate(APE_comm = as.factor(APE_comm)) -> + Mapping_SUA_PrimaryEquivalent_ID + + #Mapping_SUA_PrimaryEquivalent_ID[Mapping_SUA_PrimaryEquivalent_ID$sink_item_code == 235, "source_primary"] = FALSE + + Mapping_SUA_PrimaryEquivalent_ID %>% + select(item_code = sink_item_code, output_specific_extraction_rate) %>% + filter(!is.na(output_specific_extraction_rate)) -> + OUTPUT_SPECIFIC_EXTRACTION_RATE + + # 2.1 Helper functions for SUA primary equivalent aggregation ---- + + + # Get extraction rate + # @description Gross extraction rate is calculated for domestic, traded, and lagged values. + # By gross, it means sink items are aggregated. + # The function is used in Proc_primarize. + # @param DF_CURR_NEST Input supply-utilization accounting data frame with one tier of processing + # @param DF_ALL Input supply-utilization accounting data frame with ALL the data + # @return A data frame including regional, traded, and world extraction rates of a processing + + Get_GROSS_EXTRACTION_RATE <- function(DF_CURR_NEST, DF_ALL) { + curr_sink_items = unique(DF_CURR_NEST$item_code) + Mapping_SUA_PrimaryEquivalent_ID %>% + filter(sink_item_code %in% curr_sink_items) -> + Curr_Sink_Mapping + curr_source_items = unique(Curr_Sink_Mapping$source_item_code) + Mapping_SUA_PrimaryEquivalent_ID %>% + filter(source_item_code %in% curr_source_items) -> + Curr_Source_Mapping + Curr_Source_Mapping %>% + group_by(APE_comm) %>% + mutate(minimium_extraction_rate = if_else(Q25asMin, extraction_rate_Q25, 0)) %>% + select(APE_comm, minimium_extraction_rate) %>% + distinct() -> + MIN_EXTRACTION_RATE + + DF_ALL %>% + #Prepare data to calculate regional, traded, and world average extraction rates + tidyr::unnest(c(data)) %>% + filter(element == "Processed", item_code %in% curr_source_items) %>% + select(-nest_level) %>% + bind_rows(DF_CURR_NEST %>% filter(element == "Production" | element == "Export")) %>% + dplyr::group_by_at(vars(-item_code, -value)) %>% + summarize(value=sum(value), .groups = "drop") %>% + ungroup() %>% + complete(GCAM_region_ID = unique(Area_Region_Map$GCAM_region_ID), nesting(element, year, APE_comm), fill=list(value=0)) %>% + spread(element, value, fill = 0.0) %>% + left_join_error_no_match(MIN_EXTRACTION_RATE, by=c("APE_comm")) %>% + group_by(APE_comm, year) %>% + mutate(extraction_rate_world = sum(Production) / sum(Processed), + # in case sum(Processed) or sum(Production) == 0 + extraction_rate_world = if_else(extraction_rate_world != 0 & is.finite(extraction_rate_world), + extraction_rate_world, 1), + extraction_rate = Production / Processed, + # Regional extraction rate = prod of an aggregated processed item / Processed use of an aggregated primary item + # Use world average to fill in NA or zero + extraction_rate = if_else(is.na(extraction_rate) | extraction_rate == 0, extraction_rate_world, extraction_rate), + # Using minimum extraction rate here + extraction_rate = pmax(extraction_rate, minimium_extraction_rate), + extraction_rate_trade = sum(Export) / sum(Export / extraction_rate), + extraction_rate_trade = if_else(is.na(extraction_rate_trade), extraction_rate, extraction_rate_trade), + # both processed and production > 0 + positive_prod = Production > 0 & Processed > 0) %>% + ungroup() %>% + group_by(APE_comm, GCAM_region_ID) %>% + # Calculate lagged extraction_rate but replace NA with current rate (first period) + mutate(extraction_rate_lag = lag(extraction_rate, default=extraction_rate[1])) %>% + ungroup() %>% + select(APE_comm, GCAM_region_ID, year, bal_import = extraction_rate_trade, bal_domestic_lag = extraction_rate_lag, bal_domestic_current = extraction_rate) %>% + gather(bal_source, extraction_rate, bal_import, bal_domestic_lag, bal_domestic_current, factor_key = TRUE) + } + + + # Separate the SUA balance into domestic and imported balanced for sink_item + # @description The function is used in Proc_primarize + # @param DF_CURR_NEST Input supply-utilization accounting data frame with one tier of processing + # @return SUA DF + + Get_ARMINGTON_BALANCE <- function(DF_CURR_NEST) { + Import_Demand_Item <- factor(c("Food", "Feed", "Processed", "Other uses", "Seed", "Loss"), levels=All_Bal_element) + + DF_CURR_NEST %>% + # Calculate imported consumption share + # The assumption is that a portion of Import_Demand_Items was imported + # so they need to be scaled by an international extraction rate + # Note that stock variation is not included in import consumption to maintain stock balance + # so additional adjustment may be needed + + # We will map/allocate Import to Import_Demand_Item + # But need to ensure that Import_Demand_Item consumed more than Import; otherwise, using residue to adjust + # that is more import and more residue + # We calculate Import_Demand_Share = import / import_demand + # import_demand is indeed the demand values that could source from import + # and use this share to share our import for all Import_Demand_Item + filter(element == "Import" | element %in% Import_Demand_Item) %>% + mutate(is_import = element == "Import") %>% + spread(is_import, value, fill=0.0) %>% + group_by(APE_comm, GCAM_region_ID, year, item_code) %>% + summarize(import = sum(`TRUE`), + import_demand = sum(`FALSE`), .groups = "drop") %>% + ungroup() %>% + mutate(Import_Demand_Share = import / import_demand, + # replace NA and inf + Import_Demand_Share = if_else(is.finite(Import_Demand_Share), Import_Demand_Share, 0), + # The share should be small than 1 though outlier regions may import for storage + Import_Demand_Share = pmin(Import_Demand_Share, 1), + residual = import - import_demand * Import_Demand_Share) %>% + ungroup() %>% + select(APE_comm, GCAM_region_ID, item_code, year, Import_Demand_Share, residual) %>% + left_join(DF_CURR_NEST, ., by=c("APE_comm", "GCAM_region_ID", "item_code", "year")) %>% + # when Import_Demand_Item consumption < Import they are used to share out Import consumptions + # otherwise, Residuals is used for adjustments + mutate(bal_import = case_when(element == "Import" ~ value, + element %in% Import_Demand_Item ~ value * Import_Demand_Share, + element == "Residuals" ~ residual, + TRUE ~ 0), + # Calculate domestic balance + bal_domestic = value - bal_import) %>% + select(-value, -Import_Demand_Share, -residual) %>% + gather(bal_source, value, bal_import, bal_domestic, factor_key = TRUE) -> + TradeBal_Data + + # adding back "Regional supply" and "Regional demand" + + Regional_supply_elements <- factor(c("Opening stocks", "Production", "Import"), levels=All_Bal_element) + Regional_demand_elements <- factor(c("Export", "Feed", "Food", "Loss", "Processed", "Seed", "Other uses", "Closing stocks"), levels=All_Bal_element) + TradeBal_Data %>% + mutate(is_supply = element %in% Regional_supply_elements, + is_demand = element %in% Regional_demand_elements) %>% + filter(is_supply | is_demand) %>% + group_by(APE_comm, GCAM_region_ID, year, item_code, bal_source) %>% + # Clean the bal items + summarize(`Regional supply` = sum(value[is_supply]), + `Regional demand` = sum(value[is_demand]), .groups = "drop") %>% + ungroup() %>% + mutate(`Residuals` = `Regional supply` - `Regional demand`) %>% + gather(element, value, `Regional supply`, `Regional demand`, `Residuals`) %>% + mutate(element = factor(element, levels=All_Bal_element)) %>% + bind_rows(TradeBal_Data %>% filter(!element %in% c("Regional supply", "Regional demand", "Residuals")), .) + } + + + # Separate the domestic SUA balance into current and lagged balanced for sink_item + # @description The function is used in Proc_primarize + # @param DF_CURR_NEST_TradeAdj Output from Get_ARMINGTON_BALANCE. Input supply-utilization accounting data frame with one tier of processing and + # @param .SINK_ITEM Sink items or processed items in the processing + # @return SUA DF + + Get_STOCK_BALANCE <- function(DF_CURR_NEST_TradeAdj) { + Opening_Stock_Item <- factor(c("Food", "Feed", "Processed", "Other uses", "Seed", "Loss"), levels=All_Bal_element) + + get_bal_source_data <- function(data, bal_source_key) { + data[data$bal_source == bal_source_key, "data", drop = TRUE][[1]] + } + + DF_CURR_NEST_TradeAdj %>% + tidyr::nest(data = -bal_source) -> + StockCalcNested + + StockCalcNested %>% + get_bal_source_data("bal_domestic") %>% + filter(element == "Opening stocks" | element %in% Opening_Stock_Item) %>% + mutate(is_opening = element == "Opening stocks") %>% + spread(is_opening, value, fill=0.0) %>% + group_by(APE_comm, GCAM_region_ID, year, item_code) %>% + summarize(Ostock = sum(`TRUE`), + Ostock_demand = sum(`FALSE`), .groups = "drop") %>% + ungroup() %>% + mutate(Ostock_Demand_Share = Ostock / Ostock_demand, + # The share should be small than 1 + # Other elements will be adjusted if not + Ostock_Demand_Share = if_else(is.finite(Ostock_Demand_Share), Ostock_Demand_Share, 0), + Ostock_Demand_Share = pmin(Ostock_Demand_Share, 1), + residual = Ostock - Ostock_demand * Ostock_Demand_Share) %>% + ungroup() %>% + select(APE_comm, GCAM_region_ID, item_code, year, Ostock_Demand_Share, residual) %>% + left_join(StockCalcNested %>% get_bal_source_data("bal_domestic"), ., by=c("APE_comm", "GCAM_region_ID", "item_code", "year")) %>% + mutate(bal_domestic_lag = case_when(element == "Opening stocks" ~ value, + element %in% Opening_Stock_Item ~ value * Ostock_Demand_Share, + element == "Residuals" ~ residual, + TRUE ~ 0), + # Calculate domestic balance + bal_domestic_current = value - bal_domestic_lag) %>% + select(-value, -Ostock_Demand_Share, -residual) %>% + gather(bal_source, value, bal_domestic_lag, bal_domestic_current, factor_key = TRUE) -> + StockBal_Data + + Regional_supply_elements <- factor(c("Opening stocks", "Production", "Import"), levels=All_Bal_element) + Regional_demand_elements <- factor(c("Export", "Feed", "Food", "Loss", "Processed", "Seed", "Other uses", "Closing stocks"), levels=All_Bal_element) + Bal_types = c("bal_import", "bal_domestic_lag", "bal_domestic_current") + Bal_types = factor(Bal_types, levels=Bal_types) + StockBal_Data %>% + complete(year = unique(StockBal_Data$year), nesting(GCAM_region_ID, item_code, element, APE_comm, bal_source), fill=list(value=0)) %>% + mutate(is_supply = element %in% Regional_supply_elements, + is_demand = element %in% Regional_demand_elements) %>% + group_by(APE_comm, GCAM_region_ID, year, item_code, bal_source) %>% + # Clean the bal items + summarize(`Regional supply` = sum(value[is_supply]), + `Regional demand` = sum(value[is_demand]), + # using max to guard against missing Closing stocks row + `Stock Variation` = max(value[element == "Closing stocks"], 0) - max(value[element == "Opening stocks"], 0), + .groups = "drop") %>% + ungroup() %>% + mutate(`Residuals` = `Regional supply` - `Regional demand`) %>% + gather(element, value, `Regional supply`, `Regional demand`, `Stock Variation`, `Residuals`) %>% + mutate(element = factor(element, levels=All_Bal_element)) %>% + bind_rows(StockBal_Data %>% filter(!element %in% c("Regional supply", "Regional demand", "Stock Variation", "Residuals")), .) %>% + tidyr::nest(data = - bal_source) %>% + mutate(bal_source = factor(bal_source, levels=Bal_types)) %>% + bind_rows(StockCalcNested %>% filter(bal_source == "bal_import") %>% mutate(bal_source = factor(bal_source, levels=Bal_types))) %>% + tidyr::unnest(c("data")) + } + + + # Primary equivalent aggregation + # @param DF_ALL Input supply-utilization accounting data frame with all levels of data nested which need to be primarized + # @return A supply-utilization accounting data frame with all levels processed and aggregated to GCAM_commodity + + Proc_primarize <- function(DF_ALL){ + MaxNest = max(DF_ALL$nest_level) + MinNest = 1 + for(curr_nest in MaxNest:MinNest) { + # get the current tier to process + DF_ALL %>% + filter(nest_level == curr_nest) %>% + pull(data) %>% + first() -> + DF_CURR_NEST + + # Sink items or processed items in the processing + curr_sink_items = unique(DF_CURR_NEST$item_code) + Mapping_SUA_PrimaryEquivalent_ID %>% + filter(sink_item_code %in% curr_sink_items) -> + Curr_Sink_Mapping + # Source items or primary items in the processing + curr_source_items = unique(Curr_Sink_Mapping$source_item_code) + Mapping_SUA_PrimaryEquivalent_ID %>% + filter(source_item_code %in% curr_source_items) -> + Curr_Source_Mapping + + # OUTPUT_SPECIFIC_EXTRACTION_RATE A data frame with item and output_specific_extraction_rate. + #' # In some cases, prescale sink item SUA using output_specific_extraction_rate can improve the processing. + #' # e.g., when coproduction shares are not fixed. + if(nrow(OUTPUT_SPECIFIC_EXTRACTION_RATE %>% filter(item_code %in% curr_sink_items)) > 0) { + ## a. Pre-scale sink item data when .OUTPUT_SPECIFIC_EXTRACTION_RATE is available ---- + DF_CURR_NEST %>% + left_join(OUTPUT_SPECIFIC_EXTRACTION_RATE, by=c("item_code")) %>% + replace_na(list(output_specific_extraction_rate = 1)) %>% + mutate(value = value / output_specific_extraction_rate) %>% + select(-output_specific_extraction_rate) -> + DF_CURR_NEST + } + + ## b. For the sink items of the tier, separate balance into domestic and imported ---- + # Note that the method here relies on Get_GROSS_EXTRACTION_RATE and Get_ARMINGTON_BALANCE + DF_CURR_NEST %>% + # adding bal_source including bal_import and bal_domestic + # map/allocate import to consumption + Get_ARMINGTON_BALANCE() %>% + Get_STOCK_BALANCE() %>% + # Get extraction rate for domestic and traded + # Note that extraction rates are mean values across time + # Note that regional extraction rate could be inf + # It is likely due to data inconsistency, e.g., zero processed in source but positive sink + # No adjustments were made since 1/inf become zero in the scaling process, preserving primary balance + left_join(Get_GROSS_EXTRACTION_RATE(DF_CURR_NEST, DF_ALL), by=c("APE_comm", "GCAM_region_ID", "year", "bal_source")) %>% + # Scale sink items to get source item equivalent + mutate(value = value / extraction_rate) %>% + select(-extraction_rate) -> + .df1 + + ## c. Aggregate sink_items are aggregated into "sink_item" ---- + # And production & processed are adjusted for primary aggregation + # Bind source items as well + DF_ALL %>% + filter(nest_level <= curr_nest) %>% + tidyr::unnest(c("data")) %>% + filter(item_code %in% curr_source_items, element == "Processed") %>% + select(-element) -> + .df2 + + .df2 %>% + complete(GCAM_region_ID = unique(Area_Region_Map$GCAM_region_ID), nesting(APE_comm, item_code, nest_level, year), fill=list(value=0)) %>% + complete(.df2 %>% distinct(APE_comm, item_code, nest_level), nesting(GCAM_region_ID, year), fill=list(value=0)) %>% + # Use global value (year is specified now!) + group_by(APE_comm, item_code, year) %>% + mutate(value = sum(value)) %>% + ungroup() %>% + group_by(APE_comm, GCAM_region_ID, year) %>% + mutate(share = value/ sum(value), + share = if_else(is.finite(share), share, dplyr::n()/sum(dplyr::n()))) %>% + ungroup() %>% + select(-value, source_item_code = item_code) -> + source_share + + ## d. Merge sink SUA into source items SUA ---- + # Note that with multiple source items, sinks are aggregated into sources based on average processed shares across sources + # Prepare data to calculate world average source share + + # prepare sink item SUAs and map them to source item(s) + # multiple source items are possible but source item will be shared out + .df1 %>% + left_join(source_share, by=c("APE_comm", "GCAM_region_ID", "year"), relationship = "many-to-many") %>% + filter(!is.na(share)) %>% + mutate(value = value * share, + item_code = source_item_code) %>% + select(-share) %>% + group_by(nest_level, APE_comm, GCAM_region_ID, year, item_code, element) %>% + summarize(value = sum(value), .groups = "drop") %>% + ungroup() %>% + complete(element=All_Bal_element[All_Bal_element %in% c("Prodution", "Processed")], nesting(nest_level, APE_comm, GCAM_region_ID, year, item_code), fill=list(value=0)) %>% + group_by(nest_level, APE_comm, GCAM_region_ID, year, item_code) %>% + # get data ready to merger upper nest and move prod to negative processed + mutate(value = if_else(element == "Production" | element == "Processed", value - value[element == "Production"], value)) %>% + ungroup() -> + .df3 + + # Bind source item and aggregated across source & sink items based on primary equivalent + # Note we will bind and aggregate by nest, ultimately it seems unlikely nesting and provided + # any performance boost, but certainly didn't hurt either. + .df3 %>% + tidyr::nest(data = -nest_level) -> + df3_nested + + # merge df3_nested into DF_ALL and aggregate + for(nest_i in df3_nested$nest_level) { + + DF_ALL %>% + filter(nest_level == nest_i) %>% pull(data) %>% first %>% + bind_rows( + df3_nested %>% filter(nest_level == nest_i) %>% pull(data) %>% first + ) %>% + group_by(APE_comm, GCAM_region_ID, year, item_code, element) %>% + summarize(value = sum(value), .groups = "drop") %>% + ungroup() -> + AGG + + DF_ALL %>% + filter(nest_level != nest_i) %>% + bind_rows(tibble(nest_level = nest_i, data = list(AGG))) -> + DF_ALL + } + # drop the processed tier as the data has now been aggregated and thus + # no longer needed + DF_ALL %>% filter(nest_level != curr_nest) -> + DF_ALL + } + + # Combine the remaining items by APE_comm + DF_ALL %>% + tidyr::unnest(c("data")) %>% + group_by(GCAM_region_ID, APE_comm, element, year) %>% + summarize(value = sum(value), .groups = "drop") %>% + ungroup() %>% + spread(element, value, fill = 0.0) %>% + # Do a final balance cleaning + mutate(`Regional supply` = `Opening stocks` + Production + `Import`, + `Regional demand` = `Export` + Feed + Food + Loss + Processed + Seed + `Other uses` +`Closing stocks`, + Residuals = `Regional supply` - `Regional demand`) %>% + gather(element, value, -GCAM_region_ID, -APE_comm, -year) -> + APE_AGG + + # Aggregate by GCAM_commodity + # At this point we ditch the ID codes and factors as we return the data and + # make it available for the rest of the original processing + APE_AGG %>% + left_join_error_no_match(Mapping_SUA_PrimaryEquivalent %>% select(GCAM_commodity, APE_comm) %>% distinct(), + by = c("APE_comm")) %>% + group_by(GCAM_region_ID, GCAM_commodity, element, year) %>% + summarize(value = sum(value), .groups = "drop") %>% + ungroup() %>% + #left_join_error_no_match(GCAM_region_names, by=c("GCAM_region_ID")) %>% + mutate(element = as.character(element)) %>% + select(GCAM_region_ID, year, GCAM_commodity, element, value) -> + GCAM_APE_after2010 + + return(GCAM_APE_after2010) + } + + # 2.2. Execution: process data into APE ---- + + + ## Loop through all GCAM_commodity with available data ---- + + FAO_SUA_Kt_2010to2019_R %>% + left_join(Mapping_SUA_PrimaryEquivalent_ID %>% + select(APE_comm, item_code = sink_item_code, nest_level) %>% distinct(), by = c("item_code")) %>% + left_join(Mapping_SUA_PrimaryEquivalent_ID %>% + select(APE_comm_source = APE_comm, item_code = source_item_code) %>% distinct(), by=c("item_code")) %>% + # find SUA items which are truly not mapped to anything and filter them out + mutate(APE_comm = if_else(is.na(APE_comm), APE_comm_source, APE_comm)) %>% + select(-APE_comm_source) %>% + filter(!is.na(APE_comm)) %>% + # the remaining rows with NA nest_level are primary, we need to keep them + # around for processing even though they don't need to be aggregated themselves + # so we will give them a nest level of -1 + mutate(nest_level = if_else(is.na(nest_level), -1L, nest_level)) %>% + # we will literally nest by nest level to avoid constant subseting + # although we end up needed to unnest at times as well so ultimately, + # it likely makes little difference in performance + tidyr::nest(data = -nest_level) %>% + # we are now ready to recursively primarize APE commodities then aggregate + # to GCAM commodities + Proc_primarize() -> + GCAM_APE_after2010 + + rm(FAO_SUA_Kt_2010to2019_R) + + ## Done Section2 ---- + #****************************---- + + + + + + # Section4 [1970-2019] GCAM_APE SUA ---- + + # 4.1. Helper functions ---- + Check_Balance_SUA <- function(.DF){ + NULL -> element -> GCAM_commodity -> Import -> Export -> Production -> Food -> + Feed -> `Other uses` -> `Regional supply` -> `Regional demand` -> bal -> + region + + assertthat::assert_that(all(c("element") %in% names(.DF))) + assertthat::assert_that(all(c("Import", "Export", "Production", + "Food", "Feed", "Other uses") %in% + c(.DF %>% distinct(element) %>% pull))) + # 0. Check NA + if (.DF %>% filter(is.na(value)) %>% nrow() > 0) { + warning("NA values in SUA Balance") + } + + + # 1. Positive value except stock variation and residues + if (isFALSE(.DF %>% filter(!element %in% c("Stock Variation", "Other uses")) %>% + summarise(min = min(value, na.rm = T)) %>% pull(min) >= -0.001)) { + warning("Negative values in key elements (not including stock variation and other uses)") + } + + # 2. Trade balance in all year and items + if (isFALSE(.DF %>% filter(element %in% c("Import", "Export")) %>% + group_by(year, GCAM_commodity, element) %>% + summarise(value = sum(value), .groups = "drop") %>% + spread(element, value) %>% filter(abs(Import - Export) > 0.0001) %>% nrow() == 0)) { + warning("Gross trade imbalance") + } + + # 3. SUA balance check + if (isFALSE(.DF %>% + spread(element, value) %>% + mutate(`Regional supply` = Production + `Import`, + `Regional demand` = `Export` + Feed + Food + `Other uses`, + bal = abs(`Regional supply` - `Regional demand`)) %>% + filter(bal > 0.0001) %>% nrow() == 0)) { + warning("Regional supply != Regional demand + Residuals") + } + + # 4. Balanced in all dimensions + assertthat::assert_that(.DF %>% nrow() == + .DF %>% distinct(year) %>% nrow * + .DF %>% distinct(GCAM_commodity) %>% nrow * + .DF %>% distinct(element) %>% nrow * + .DF %>% distinct(region) %>% nrow) + + } + + + + ## Done Section4 ---- + + + + #****************************---- + #Section6 Connect food items and macronutrient rates ---- + + # 6.1 Separate FAO food items into GCAM food items and NEC for macronutrient ---- + # GCAM included most of the food items + # All food item with available macronutrient info from FAOSTAT are included + + # a. Get all GCAM SUA items from the mapping by binding both source and sink items + # about 486 items (out of 530) used in GCAM + + Mapping_SUA_PrimaryEquivalent %>% + select(GCAM_commodity, item = source_item) %>% + bind_rows(Mapping_SUA_PrimaryEquivalent %>% + select(GCAM_commodity, item = sink_item)) %>% + distinct() %>% + left_join_error_no_match(SUA_item_code_map, by = "item") -> + SUA_Items_GCAM + + assertthat::assert_that( + SUA_Items_GCAM %>% distinct(item_code) %>% nrow() == SUA_Items_GCAM %>% nrow(), + msg = "Check duplicates in Mapping_SUA_PrimaryEquivalent SUA items" + ) + + # highly processed products or other products are not included in GCAM + # (e.g., wine, infant food, or other nonfood items etc.) + + SUA_item_code_map %>% + filter(!item_code %in% unique(SUA_Items_GCAM$item_code)) -> SUA_Items_NonGCAM + + # b. There are 426 FAO food items, all included in FAO_SUA_Kt_2010to2019 (530 items) + # SUA_Items_Food includes both GCAM and NonGCAM(NEC) + SUA_item_code_map %>% + filter(item_code %in% unique(GCAMFAOSTAT_MacroNutrientRate$item_code)) %>% + left_join(SUA_Items_GCAM %>% select(-item), by = "item_code") %>% + # For NA GCAM_commodity: not elsewhere classified (NEC) + # So we would know % of food calories not included in GCAM commodities + mutate(GCAM_commodity = if_else(is.na(GCAM_commodity), "NEC", GCAM_commodity)) -> + SUA_Items_Food + + + # 6.2 Get macronutrient values ---- + + ### a. Get world average macronutrient ---- + # For filling in missing values + + GCAMFAOSTAT_MacroNutrientRate %>% + tidyr::gather(macronutrient, macronutrient_value, calperg:proteinperc) %>% + group_by(item, item_code, macronutrient) %>% + summarise(macronutrient_value_World = mean(macronutrient_value), .groups = "drop") %>% + ungroup() -> + SUA_food_macronutrient_rate_World + + + ### b. Calculate SUA food Calories consumption by joining macronutrient rates and SUA food ---- + + FAO_SUA_Kt_2010to2019 %>% + filter(element == "Food", item_code %in% SUA_Items_Food$item_code) %>% + # ensure we at least have a complete series across time otherwise it may + # throw off moving avg calculations + complete(area_code = Area_Region_Map$area_code, year = pull(., year) %>% unique(), nesting(item_code, element), fill=list(value=0)) %>% + rename(Food_Kt = value) %>% + select(-element) %>% + left_join_error_no_match(SUA_Items_Food, by = c("item_code")) %>% + repeat_add_columns( + tibble(macronutrient = c("calperg", "fatperc", "proteinperc"))) %>% + left_join( + GCAMFAOSTAT_MacroNutrientRate %>% + select(-item) %>% + tidyr::gather(macronutrient, macronutrient_value, calperg:proteinperc), + by = c("area_code", "item_code", "macronutrient") + ) %>% + left_join_error_no_match(SUA_food_macronutrient_rate_World %>% select(-item), + by = c("item_code", "macronutrient")) %>% + mutate(macronutrient_value = if_else(is.na(macronutrient_value), + macronutrient_value_World, + macronutrient_value), + # calculate total Cal, protein and fat in food + # value was in 1000 ton or 10^ 9 g + value = macronutrient_value * Food_Kt, + value = if_else(macronutrient %in% c("fatperc", "proteinperc"), + value / 100 /1000, value)) %>% # unit from perc to Mt + select(-macronutrient_value, -macronutrient_value_World, -Food_Kt) %>% + # rename element with units + mutate(macronutrient = case_when( + macronutrient == "calperg" ~ "MKcal", + macronutrient == "fatperc" ~ "MtFat", + macronutrient == "proteinperc" ~ "MtProtein" )) %>% + left_join_error_no_match(Area_Region_Map %>% select(-region), by = "area_code") -> + FAO_Food_Macronutrient_All_2010_2019 + + ### c. Get the max values of macronutrient conversion rate (per GCAM_commodity) ---- + # This will be used later as an upper bound to improve the data + GCAMFAOSTAT_MacroNutrientRate %>% + tidyr::gather(macronutrient, macronutrient_value, calperg:proteinperc) %>% + left_join_error_no_match(SUA_Items_Food %>% select(-item), + by = c("item_code")) %>% + group_by(GCAM_commodity, macronutrient) %>% + summarise(max_macronutrient_value = max(macronutrient_value), .groups = "drop") -> + FAO_Food_MacronutrientRate_2010_2019_MaxValue + + + #****************************---- + # Produce outputs ---- + #******************************* + + # GCAM_AgLU_SUA_APE_1973_2019 %>% + # add_title("GCAM_AgLU_SUA_APE_1973_2019") %>% + # add_units("kton") %>% + # add_comments("Supply utilization balance for GCAM commodities and regions in primary equivalent") %>% + # add_precursors("aglu/AGLU_ctry", + # "common/iso_GCAM_regID", + # "common/GCAM_region_names", + # "aglu/FAO/GCAMFAOSTAT_SUA", + # "aglu/FAO/GCAMFAOSTAT_BiTrade", + # "aglu/FAO/Mapping_SUA_PrimaryEquivalent", + # "aglu/FAO/SUA_item_code_map", + # "aglu/FAO/GCAMFAOSTAT_NonFodderProdArea", + # "aglu/FAO/GCAMFAOSTAT_FBSH_CB", + # "aglu/FAO/Mapping_item_FBS_GCAM") -> + # GCAM_AgLU_SUA_APE_1973_2019 + + + + # + # FAO_Food_Macronutrient_All_2010_2019 %>% + # add_title("GCAM_AgLU_SUA_APE_1973_2019") %>% + # add_units("MKcal, MtFat, MtProtein") %>% + # add_comments("Macronutrient consumption values connected to food consumption in GCAM_AgLU_SUA_APE_1973_2019") %>% + # add_precursors("aglu/AGLU_ctry", + # "common/iso_GCAM_regID", + # "aglu/FAO/GCAMFAOSTAT_SUA", + # "aglu/FAO/GCAMFAOSTAT_MacroNutrientRate", + # "aglu/FAO/Mapping_SUA_PrimaryEquivalent") -> + # FAO_Food_Macronutrient_All_2010_2019 + # + # FAO_Food_MacronutrientRate_2010_2019_MaxValue %>% + # add_title("FAO_Food_MacronutrientRate_2010_2019_MaxValue") %>% + # add_units("cal per g, fat perc. , protein perc.") %>% + # add_comments("The max value of macronutrient conversion rate across region, year, and SUA items (per GCAM_commodity") %>% + # add_precursors("aglu/AGLU_ctry", + # "common/iso_GCAM_regID", + # "aglu/FAO/GCAMFAOSTAT_SUA", + # "aglu/FAO/GCAMFAOSTAT_MacroNutrientRate", + # "aglu/FAO/Mapping_SUA_PrimaryEquivalent") -> + # FAO_Food_MacronutrientRate_2010_2019_MaxValue + + return_data(MODULE_OUTPUTS) + + + } else { + stop("Unknown command") + } +}