diff --git a/R/zaglu_L100.FAO_SUA_PrimaryEquivalent.R b/R/zaglu_L100.FAO_SUA_PrimaryEquivalent.R
index 6d658338..408dbce3 100644
--- a/R/zaglu_L100.FAO_SUA_PrimaryEquivalent.R
+++ b/R/zaglu_L100.FAO_SUA_PrimaryEquivalent.R
@@ -74,6 +74,15 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
     All_Bal_element <- levels(GCAMDATA_FAOSTAT_SUA_195Regs_530Items_2010to2019$element)
     All_Bal_element <- factor(All_Bal_element, levels = All_Bal_element)
 
+    # Bilateral trade item indicator is added to SUA_item_code_map
+    # filter GCAMDATA_FAOSTAT_BiTrade_194Regs_400Items_2010to2020 to only include bilateral trade item to be
+    # consistent with GCAMDATA_FAOSTAT_SUA_195Regs_530Items_2010to2019
+    BilaterialTrade_ItemCode <- SUA_item_code_map %>% filter(TM == TRUE) %>% distinct(item_code) %>% pull
+    GCAMDATA_FAOSTAT_BiTrade_194Regs_400Items_2010to2020 %>%
+      filter(item_code %in% BilaterialTrade_ItemCode) ->
+      GCAMDATA_FAOSTAT_BiTrade_194Regs_400Items_2010to2020
+    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
@@ -114,7 +123,8 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
         group_by(GCAM_region_ID, item_code, year) %>%
         summarize(value = sum(value), .groups = "drop") %>%
         ungroup() %>%
-        mutate(value = -value / 1000.0) ->
+        #mutate(value = -value / 1000.0) ->
+        mutate(value = -value) ->
         DF_INTRA_REG_TRADE
 
       # SUA has fewer items and years than the bilateral data set and in addition
@@ -577,7 +587,7 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
       filter(!is.na(value)) ->
       FBSH_CB
 
-    # asssert mapping is good
+    # assert mapping is good
     assertthat::assert_that(
       Mapping_item_FBS_GCAM %>% filter(!is.na(GCAM_commodity)) %>%
         distinct(item_code) %>% pull() %in%
@@ -606,7 +616,9 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
       filter(!is.na(value), element == "Production") %>%
       inner_join(
         Mapping_SUA_PrimaryEquivalent %>% filter(source_primary == T) %>%
-          distinct(GCAM_commodity, item = source_item), by = "item") %>%
+          distinct(GCAM_commodity, item = source_item) %>%
+          left_join_error_no_match(SUA_item_code_map, by = "item") %>% select(-item),
+        by = "item_code") %>%
       left_join_error_no_match(AGLU_ctry %>% select(area = FAO_country, iso), by = "area") %>%
       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") %>%
@@ -757,16 +769,19 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
 
     Primary_Item_CROP <-
       FAO_ag_items_PRODSTAT %>%
-        select(item, GCAM_commodity, GCAM_subsector) %>%
+        select(item, item_code, GCAM_commodity, GCAM_subsector) %>%
         filter(!is.na(item), !is.na(GCAM_commodity)) %>%
         # Fodder grass has a duplicate as it mapped to different GTAP crops
         distinct %>%
         mutate(CropMeat = if_else(GCAM_commodity %in% c("FodderGrass", "FodderHerb"),
                                   "Crop_Fodder", "Crop_NonFodder"))
     assertthat::assert_that(
-      all(Primary_Item_CROP %>% filter(CropMeat == "Crop_NonFodder") %>%  pull(item) %in%
-        c(Mapping_SUA_PrimaryEquivalent %>% filter(source_primary == T) %>%
-          distinct(item = source_item) %>% pull)),
+      all(Primary_Item_CROP %>% filter(CropMeat == "Crop_NonFodder") %>%  pull(item_code) %in%
+        c(Mapping_SUA_PrimaryEquivalent %>%
+            filter(source_primary == T) %>%
+            distinct(item = source_item) %>%
+            left_join_error_no_match(SUA_item_code_map, by = "item") %>% pull(item_code) )
+        ),
       msg = "Inconsistent mapping of primary crops between FAO_ag_items_PRODSTAT and Mapping_SUA_PrimaryEquivalent" )
 
     Primary_Item_MEAT <-
@@ -778,6 +793,7 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
                c(FAO_an_items_PRODSTAT %>%
                    filter(!is.na(GCAM_commodity)) %>%
                    distinct(GCAM_commodity) %>% pull))%>%
+      left_join_error_no_match(SUA_item_code_map, by = "item") %>%
       mutate(CropMeat = "Meat")
 
     # 5.2. Get primary production for all ----
@@ -849,8 +865,9 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
       # Keep subsector info for crops
       inner_join(Primary_Item_CROP %>%
                    bind_rows(Primary_Item_MEAT %>%
-                               mutate(GCAM_subsector = GCAM_commodity)),
-                 by = "item") %>%
+                               mutate(GCAM_subsector = GCAM_commodity)) %>%
+                   select(-item),
+                 by = "item_code") %>%
       # add in iso and gcam regions ID
       left_join_error_no_match(Area_Region_Map, by = "area_code") ->
       FAO_AgProd_Kt_All
@@ -881,18 +898,18 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
     ## b. All area harvested ----
 
     assertthat::assert_that(
-      all(Primary_Item_CROP %>% pull(item) %in%
+      all(Primary_Item_CROP %>% pull(item_code) %in%
             c(FAO_AgProd_Kt_Area_Kha %>%
                 filter(item_set %in% c("QCL_COMM_CROP_PRIMARY",
                                        "QCL_COMM_CROP_PRIMARY_FODDER")) %>%
-                pull(item)) ),
+                pull(item_code)) ),
       msg =  "Not all required primary crop items included in FAO_AgProd_Kt_Area_Kha" )
 
     FAO_AgProd_Kt_Area_Kha %>%
       filter(element == "Area harvested") %>%
       select(c(names(FAO_SUA_Kt_2010to2019), "item")) %>%
       # Keep subsector info for crops
-      inner_join(Primary_Item_CROP, by = "item") %>%
+      inner_join(Primary_Item_CROP %>% select(-item), by = "item_code") %>%
       # add in iso and gcam regions ID
       left_join_error_no_match(Area_Region_Map %>% select(-region), by = "area_code") ->
       FAO_AgArea_Kha_All
@@ -911,11 +928,12 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
       select(GCAM_commodity, item = source_item) %>%
       bind_rows(Mapping_SUA_PrimaryEquivalent %>%
                   select(GCAM_commodity, item = sink_item)) %>%
-      distinct() ->
+      distinct() %>%
+      left_join_error_no_match(SUA_item_code_map, by = "item") ->
       SUA_Items_GCAM
 
     assertthat::assert_that(
-      SUA_Items_GCAM %>% distinct(item) %>% nrow() == SUA_Items_GCAM %>% nrow(),
+      SUA_Items_GCAM %>% distinct(item_code) %>% nrow() == SUA_Items_GCAM %>% nrow(),
       msg = "Check duplicates in Mapping_SUA_PrimaryEquivalent SUA items"
     )
 
@@ -923,13 +941,13 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
     # (e.g., wine, infant food, or other nonfood items etc.)
 
     SUA_item_code_map %>%
-      filter(!item %in% unique(SUA_Items_GCAM$item)) -> SUA_Items_NonGCAM
+      filter(!item_code %in% unique(SUA_Items_GCAM$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(GCAMDATA_FAOSTAT_MacroNutrientRate_179Regs_426Items_2010to2019Mean$item_code)) %>%
-      left_join(SUA_Items_GCAM, by = "item") %>%
+      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)) ->
@@ -963,11 +981,12 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
         tibble(macronutrient = c("calperg", "fatperc", "proteinperc"))) %>%
       left_join(
         GCAMDATA_FAOSTAT_MacroNutrientRate_179Regs_426Items_2010to2019Mean %>%
+          select(-item) %>%
           tidyr::gather(macronutrient, macronutrient_value, calperg:proteinperc),
-        by = c("area_code", "item_code", "item", "macronutrient")
+        by = c("area_code", "item_code", "macronutrient")
       ) %>%
-      left_join_error_no_match(SUA_food_macronutrient_rate_World,
-                               by = c("item_code", "item", "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),
@@ -989,8 +1008,8 @@ module_aglu_L100.FAO_SUA_PrimaryEquivalent <- function(command, ...) {
     # This will be used later as an upper bound to improve the data
     GCAMDATA_FAOSTAT_MacroNutrientRate_179Regs_426Items_2010to2019Mean %>%
       tidyr::gather(macronutrient, macronutrient_value, calperg:proteinperc) %>%
-      left_join_error_no_match(SUA_Items_Food,
-                               by = c("item_code", "item")) %>%
+      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
diff --git a/inst/extdata/aglu/FAO/SUA_item_code_map.csv b/inst/extdata/aglu/FAO/SUA_item_code_map.csv
index 980a4b3b..00a84d65 100644
--- a/inst/extdata/aglu/FAO/SUA_item_code_map.csv
+++ b/inst/extdata/aglu/FAO/SUA_item_code_map.csv
@@ -3,538 +3,538 @@
 # 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.
+# to ultimately translate back to item names. TM is TRUE when bilateral data was used for the item.
 # Last update: 8-15-2022 (XZ)
-# Column types: ci
+# Column types: cil
 # ----------
-item,item_code
-Wheat,15
-"Rice, paddy",27
-Barley,44
-Beer of barley,51
-Maize,56
-"Oil, maize",60
-Rye,71
-Oats,75
-Millet,79
-Sorghum,83
-Buckwheat,89
-Quinoa,92
-Fonio,94
-Triticale,97
-Canary seed,101
-"Grain, mixed",103
-Potatoes,116
-Sweet potatoes,122
-Cassava,125
-Roots and tubers nes,149
-Sugar beet,157
-Sugar crops nes,161
-Sugar Raw Centrifugal,162
-Molasses,165
-"Beans, dry",176
-"Broad beans, horse beans, dry",181
-"Peas, dry",187
-Chick peas,191
-Lentils,201
-Bambara beans,203
-Vetches,205
-"Cashew nuts, with shell",217
-Chestnut,220
-"Almonds, with shell",221
-"Walnuts, with shell",222
-Pistachios,223
-Kola nuts,224
-"Hazelnuts, with shell",225
-Areca nuts,226
-Nuts nes,234
-Soybeans,236
-"Oil, groundnut",244
-Coconuts,249
-"Oil, coconut (copra)",252
-"Oil, palm",257
-"Oil, palm kernel",258
-Olives,260
-"Oil, olive, virgin",261
-Karite nuts (sheanuts),263
-Sunflower seed,267
-"Oil, sunflower",268
-Rapeseed,270
-"Oil, rapeseed",271
-"Oil, safflower",281
-Sesame seed,289
-"Oil, sesame",290
-Mustard seed,292
-Poppy seed,296
-Cottonseed,329
-"Oil, cottonseed",331
-Linseed,333
-"Oil, linseed",334
-Oilseeds nes,339
-Cabbages and other brassicas,358
-Artichokes,366
-Asparagus,367
-Lettuce and chicory,372
-Spinach,373
-Tomatoes,388
-Cauliflowers and broccoli,393
-"Pumpkins, squash and gourds",394
-Cucumbers and gherkins,397
-Eggplants (aubergines),399
-"Chillies and peppers, green",401
-"Onions, shallots, green",402
-"Onions, dry",403
-Garlic,406
-"Leeks, other alliaceous vegetables",407
-"Beans, green",414
-"Peas, green",417
-Carrots and turnips,426
-"Maize, green",446
-Mushrooms and truffles,449
-"Vegetables, fresh nes",463
-Bananas,486
-Plantains and others,489
-Oranges,490
-"Tangerines, mandarins, clementines, satsumas",495
-Lemons and limes,497
-Grapefruit (inc. pomelos),507
-Apples,515
-Pears,521
-Quinces,523
-Apricots,526
-"Cherries, sour",530
-Cherries,531
-Peaches and nectarines,534
-Plums and sloes,536
-Strawberries,544
-Gooseberries,549
-Currants,550
-Blueberries,552
-Cranberries,554
-Grapes,560
-Wine,564
-Watermelons,567
-"Melons, other (inc.cantaloupes)",568
-Figs,569
-"Mangoes, mangosteens, guavas",571
-Avocados,572
-Pineapples,574
-Dates,577
-Persimmons,587
-Cashewapple,591
-Kiwi fruit,592
-Papayas,600
-"Fruit, tropical fresh nes",603
-"Fruit, fresh nes",619
-"Coffee, green",656
-"Cocoa, beans",661
-Tea,667
-Mate,671
-Pepper (piper spp.),687
-"Chillies and peppers, dry",689
-Vanilla,692
-Cinnamon (cannella),693
-Cloves,698
-"Nutmeg, mace and cardamoms",702
-"Anise, badian, fennel, coriander",711
-Ginger,720
-Spices nes,723
-"Meat, cattle",867
-"Offals, edible, cattle",868
-"Fat, cattle",869
-"Milk, whole fresh cow",882
-Cream fresh,885
-"Butter, cow milk",886
-"Milk, skimmed cow",888
-"Milk, whole condensed",889
-"Whey, condensed",890
-Yoghurt,891
-"Milk, whole evaporated",894
-"Milk, whole dried",897
-"Milk, skimmed dried",898
-"Whey, dry",900
-"Cheese, whole cow milk",901
-"Meat, sheep",977
-"Offals, sheep,edible",978
-"Cheese, sheep milk",984
-"Meat, goat",1017
-"Offals, edible, goats",1018
-"Meat, pig",1035
-"Offals, pigs, edible",1036
-"Fat, pigs",1037
-Lard,1043
-"Meat, chicken",1058
-"Eggs, hen, in shell",1062
-"Meat, duck",1069
-"Meat, goose and guinea fowl",1073
-"Meat, turkey",1080
-"Eggs, other bird, in shell",1091
-"Meat, horse",1097
-"Fat, camels",1129
-"Meat, rabbit",1141
-"Meat, game",1163
-Meat nes,1166
-"Honey, natural",1182
-Tallow,1225
-"Margarine, short",1242
-"Flour, wheat",16
-"Bran, wheat",17
-Macaroni,18
-Bread,20
-Bulgur,21
-Pastry,22
-"Rice, husked",28
-"Rice, milled/husked",29
-"Rice, milled",31
-"Rice, broken",32
-"Oil, rice bran",36
-"Flour, rice",38
-"Beverages, fermented rice",39
-"Cereals, breakfast",41
-"Barley, pearled",46
-Malt,49
-"Germ, maize",57
-"Flour, maize",58
-"Bran, maize",59
-Oats rolled,76
-"Bran, millet",81
-"Bran, sorghum",85
-"Flour, mixed grain",104
-Infant food,109
-Wafers,110
-"Flour, cereals",111
-Cereal preparations nes,113
-Mixes and doughs,114
-"Food preparations, flour, malt extract",115
-"Flour, potatoes",117
-"Potatoes, frozen",118
-"Flour, cassava",126
-Cassava dried,128
-"Starch, cassava",129
-"Flour, roots and tubers nes",150
-Maple sugar and syrups,160
-Sugar non-centrifugal,163
-Sugar refined,164
-"Fructose and syrup, other",166
-Sugar nes,167
-Sugar confectionery,168
-Glucose and dextrose,172
-Lactose,173
-"Flour, pulses",212
-"Brazil nuts, shelled",229
-"Cashew nuts, shelled",230
-Almonds shelled,231
-"Walnuts, shelled",232
-"Hazelnuts, shelled",233
-"Nuts, prepared (exc. groundnuts)",235
-"Oil, soybean",237
-Soya sauce,239
-Soya paste,240
-"Groundnuts, shelled",243
-"Groundnuts, prepared",246
-Peanut butter,247
-"Coconuts, desiccated",250
-Copra,251
-Olives preserved,262
-Butter of karite nuts,264
-"Oil, castor beans",266
-"Oil, olive residues",274
-"Flour, mustard",295
-"Oil, vegetable origin nes",340
-"Juice, tomato",390
-"Tomatoes, paste",391
-"Tomatoes, peeled",392
-Sweet corn frozen,447
-Sweet corn prep or preserved,448
-"Mushrooms, canned",451
-"Vegetables, dehydrated",469
-Vegetables in vinegar,471
-"Vegetables, preserved nes",472
-"Vegetables, frozen",473
-"Vegetables, temporarily preserved",474
-"Vegetables, preserved, frozen",475
-"Vegetables, homogenized preparations",476
-"Juice, orange, single strength",491
-"Juice, orange, concentrated",492
-"Juice, lemon, single strength",498
-"Juice, lemon, concentrated",499
-"Juice, grapefruit",509
-"Juice, grapefruit, concentrated",510
-"Juice, citrus, single strength",513
-"Juice, citrus, concentrated",514
-Cider etc,517
-"Juice, apple, single strength",518
-"Juice, apple, concentrated",519
-"Apricots, dry",527
-Plums dried (prunes),537
-Raisins,561
-"Juice, grape",562
-Vermouths & similar,565
-Figs dried,570
-Pineapples canned,575
-"Juice, pineapple",576
-"Juice, pineapple, concentrated",580
-"Fruit, dried nes",620
-"Juice, fruit nes",622
-"Fruit, prepared nes",623
-"Fruit, cooked, homogenized preparations",626
-"Beverages, distilled alcoholic",634
-"Coffee, roasted",657
-"Coffee, substitutes containing coffee",658
-"Coffee, extracts",659
-"Cocoa, paste",662
-"Cocoa, butter",664
-"Cocoa, powder & cake",665
-Chocolate products nes,666
-"Tea, mate extracts",672
-"Feed and meal, gluten",846
-"Meat, cattle, boneless (beef & veal)",870
-"Meat, beef and veal sausages",874
-"Meat, beef, preparations",875
-"Yoghurt, concentrated or not",892
-"Buttermilk, curdled, acidified milk",893
-"Cheese, processed",907
-"Milk, products of natural constituents nes",909
-Ice cream and edible ice,910
-Grease incl. lanolin wool,994
-"Meat, pork",1038
-Bacon and ham,1039
-"Meat, pig sausages",1041
-"Meat, pig, preparations",1042
-"Offals, liver chicken",1059
-"Fat, liver prepared (foie gras)",1060
-"Meat, chicken, canned",1061
-"Eggs, liquid",1063
-"Eggs, dried",1064
-"Offals, liver geese",1074
-"Offals, liver duck",1075
-"Meat, dried nes",1164
-"Oils, fats of animal nes",1168
-Food prep nes,1232
-"Margarine, liquid",1241
-"Fat nes, prepared",1243
-"Oil, boiled etc",1274
-Fatty acids,1276
-Fatty substance residues,1277
-Cereals nes,108
-Yautia (cocoyam),135
-Taro (cocoyam),136
-Yams,137
-Sugar cane,156
-"Cow peas, dry",195
-Pigeon peas,197
-Lupins,210
-Pulses nes,211
-"Brazil nuts, with shell",216
-"Groundnuts, with shell",242
-Oil palm fruit,254
-Palm kernels,256
-Castor oil seed,265
-Tung nuts,275
-Jojoba seed,277
-Safflower seed,280
-Melonseed,299
-Tallowtree seed,305
-Kapok fruit,310
-Kapokseed in shell,311
-Hempseed,336
-Cassava leaves,378
-"Vegetables, leguminous nes",420
-String beans,423
-Okra,430
-Chicory roots,459
-Carobs,461
-"Fruit, citrus nes",512
-"Fruit, stone nes",541
-"Fruit, pome nes",542
-Raspberries,547
-Berries nes,558
-"Ghee, butteroil of cow milk",887
-"Milk, skimmed evaporated",895
-"Milk, skimmed condensed",896
-"Milk, dry buttermilk",899
-"Cheese, skimmed cow milk",904
-"Meat, buffalo",947
-"Offals, edible, buffaloes",948
-"Fat, buffaloes",949
-"Milk, whole fresh buffalo",951
-"Butter, buffalo milk",952
-"Ghee, buffalo milk",953
-"Cheese, buffalo milk",955
-"Fat, sheep",979
-"Milk, whole fresh sheep",982
-"Butter and ghee, sheep milk",983
-"Fat, goats",1019
-"Milk, whole fresh goat",1020
-"Cheese, goat milk",1021
-"Meat, bird nes",1089
-"Offals, horses",1098
-"Meat, ass",1108
-"Meat, mule",1111
-"Meat, camel",1127
-"Offals, edible, camels",1128
-"Milk, whole fresh camel",1130
-"Meat, other rodents",1151
-"Snails, not sea",1176
-"Germ, wheat",19
-"Starch, wheat",23
-"Gluten, wheat",24
-"Beverages, fermented wheat",26
-"Gluten, rice",33
-"Starch, rice",34
-"Bran, rice",35
-"Barley, pot",45
-"Bran, barley",47
-"Flour, barley and grits",48
-Malt extract,50
-"Gluten, maize",63
-"Starch, maize",64
-Beer of maize,66
-"Flour, rye",72
-"Bran, rye",73
-"Bran, oats",77
-"Flour, millet",80
-Beer of millet,82
-"Flour, sorghum",84
-Beer of sorghum,86
-"Flour, buckwheat",90
-"Bran, buckwheat",91
-"Flour, fonio",95
-"Bran, fonio",96
-"Flour, triticale",98
-"Bran, triticale",99
-"Bran, mixed grains",105
-"Bran, cereals nes",112
-"Starch, potatoes",119
-"Tapioca, potatoes",121
-"Tapioca, cassava",127
-Roots and tubers dried,151
-Fructose chemically pure,154
-Maltose chemically pure,155
-"Sugar, cane, raw, centrifugal",158
-Isoglucose,175
-"Bran, pulses",213
-Soya curd,241
-"Oil, tung nuts",276
-"Oil, jojoba",278
-"Oil, mustard",293
-"Oil, poppy",297
-Vegetable tallow,306
-Kapokseed shelled,312
-"Oil, kapok",313
-"Oil, hempseed",337
-"Flour, oilseeds",343
-"Mushrooms, dried",450
-"Juice, vegetables nes",466
-"Juice, tangerine",496
-"Juice, plum, single strength",538
-"Juice, plum, concentrated",539
-"Grapes, must",563
-"Juice, mango",583
-"Fruit, tropical dried nes",604
-"Flour, fruit",624
-"Fruits, nuts, peel, sugar preserved",625
-Alcohol non food,632
-"Fat, cattle butcher",871
-"Meat, beef, dried, salted, smoked",872
-"Meat, extracts",873
-"Meat, homogenized preparations",877
-Liver prep.,878
-"Whey, fresh",903
-"Whey, cheese",905
-"Milk, reconstituted",908
-Egg albumine,916
-Casein,917
-"Milk, skimmed buffalo",954
-"Milk, skimmed sheep",985
-"Butter, goat milk",1022
-"Milk, skimmed goat",1023
-"Fat, pig butcher",1040
-"Fat, poultry",1065
-"Fat, poultry, rendered",1066
-"Offals, liver turkeys",1081
-"Fat, other camelids",1160
-Offals nes,1167
-"Meat nes, preparations",1172
-Lard stearine oil,1221
-Degras,1222
-"Castor oil, hydrogenated (opal wax)",1273
-"Oil, hydrogenated",1275
-"Cake, soybeans",238
-"Cake, groundnuts",245
-"Cake, copra",253
-"Cake, palm kernel",259
-"Cake, sunflower",269
-"Cake, rapeseed",272
-"Cake, sesame seed",291
-"Cake, mustard",294
-"Cake, cottonseed",332
-"Cake, others",341
-"Rice, paddy (rice milled equivalent)",30
-Seed cotton,328
-Hops,677
-Peppermint,748
-"Pyrethrum, dried",754
-Cotton lint,767
-Flax fibre and tow,773
-Hemp tow waste,777
-Kapok fibre,778
-Jute,780
-"Bastfibres, other",782
-Ramie,788
-Sisal,789
-Agave fibres nes,800
-Manila fibre (abaca),809
-Coir,813
-Fibre crops nes,821
-"Tobacco, unmanufactured",826
-"Rubber, natural",836
-"Gums, natural",839
-"Hides, cattle, fresh",919
-"Hides, buffalo, fresh",957
-"Wool, greasy",987
-"Skins, sheep, fresh",995
-"Skins, goat, fresh",1025
-"Meat, other camelids",1158
-Beeswax,1183
-"Silk-worm cocoons, reelable",1185
-"Silk, raw",1186
-Freshwater Fish,2761
-Demersal Fish,2762
-Pelagic Fish,2763
-"Marine Fish, Other",2764
-Crustaceans,2765
-Cephalopods,2766
-"Molluscs, Other",2767
-"Meat, Aquatic Mammals",2768
-"Aquatic Animals, Others",2769
-Aquatic Plants,2775
-"Fish, Body Oil",2781
-"Fish, Liver Oil",2782
-"Cake, rice bran",360000
-"Cake, maize",600000
-"Cake, olive residues",2740000
-"Cake, jojoba",2780000
-"Cake, safflower",2810000
-"Cake, poppy",2970000
-"Cake, kapok",3130000
-"Fiber, cottonseed",3320000
-"Cake, linseed",3340000
-"Cake, hempseed",3370000
-"Cake, vegetable origin nes",3400000
-"AnMeatEq, cattle",8670000
-"AnMeatEq, buffalo",9470000
-"AnMeatEq, sheep",9770000
-"AnMeatEq, goat",10170000
-"AnMeatEq, pig",10350000
-"AnMeatEq, chicken",10580000
-"AnMeatEq, duck",10690000
-"AnMeatEq, goose and guinea fowl",10730000
-"AnMeatEq, turkey",10800000
-"AnMeatEq, horse",10970000
-"AnMeatEq, ass",11080000
-"AnMeatEq, mule",11110000
-"AnMeatEq, camel",11270000
-"AnMeatEq, rabbit",11410000
-"AnMeatEq, other rodents",11510000
-"AnMeatEq, other camelids",11580000
+item,item_code,TM
+Wheat,15,TRUE
+"Rice, paddy",27,TRUE
+Barley,44,TRUE
+Beer of barley,51,TRUE
+Maize,56,TRUE
+"Oil, maize",60,TRUE
+Rye,71,TRUE
+Oats,75,TRUE
+Millet,79,TRUE
+Sorghum,83,TRUE
+Buckwheat,89,TRUE
+Quinoa,92,TRUE
+Fonio,94,TRUE
+Triticale,97,TRUE
+Canary seed,101,TRUE
+"Grain, mixed",103,TRUE
+Potatoes,116,TRUE
+Sweet potatoes,122,TRUE
+Cassava,125,TRUE
+Roots and tubers nes,149,TRUE
+Sugar beet,157,TRUE
+Sugar crops nes,161,TRUE
+Sugar Raw Centrifugal,162,TRUE
+Molasses,165,TRUE
+"Beans, dry",176,TRUE
+"Broad beans, horse beans, dry",181,TRUE
+"Peas, dry",187,TRUE
+Chick peas,191,TRUE
+Lentils,201,TRUE
+Bambara beans,203,TRUE
+Vetches,205,TRUE
+"Cashew nuts, with shell",217,TRUE
+Chestnut,220,TRUE
+"Almonds, with shell",221,TRUE
+"Walnuts, with shell",222,TRUE
+Pistachios,223,TRUE
+Kola nuts,224,TRUE
+"Hazelnuts, with shell",225,TRUE
+Areca nuts,226,TRUE
+Nuts nes,234,TRUE
+Soybeans,236,TRUE
+"Oil, groundnut",244,TRUE
+Coconuts,249,TRUE
+"Oil, coconut (copra)",252,TRUE
+"Oil, palm",257,TRUE
+"Oil, palm kernel",258,TRUE
+Olives,260,TRUE
+"Oil, olive, virgin",261,TRUE
+Karite nuts (sheanuts),263,TRUE
+Sunflower seed,267,TRUE
+"Oil, sunflower",268,TRUE
+Rapeseed,270,TRUE
+"Oil, rapeseed",271,TRUE
+"Oil, safflower",281,TRUE
+Sesame seed,289,TRUE
+"Oil, sesame",290,TRUE
+Mustard seed,292,TRUE
+Poppy seed,296,TRUE
+Cottonseed,329,TRUE
+"Oil, cottonseed",331,TRUE
+Linseed,333,TRUE
+"Oil, linseed",334,TRUE
+Oilseeds nes,339,TRUE
+Cabbages and other brassicas,358,TRUE
+Artichokes,366,TRUE
+Asparagus,367,TRUE
+Lettuce and chicory,372,TRUE
+Spinach,373,TRUE
+Tomatoes,388,TRUE
+Cauliflowers and broccoli,393,TRUE
+"Pumpkins, squash and gourds",394,TRUE
+Cucumbers and gherkins,397,TRUE
+Eggplants (aubergines),399,TRUE
+"Chillies and peppers, green",401,TRUE
+"Onions, shallots, green",402,TRUE
+"Onions, dry",403,TRUE
+Garlic,406,TRUE
+"Leeks, other alliaceous vegetables",407,TRUE
+"Beans, green",414,TRUE
+"Peas, green",417,TRUE
+Carrots and turnips,426,TRUE
+"Maize, green",446,TRUE
+Mushrooms and truffles,449,TRUE
+"Vegetables, fresh nes",463,TRUE
+Bananas,486,TRUE
+Plantains and others,489,TRUE
+Oranges,490,TRUE
+"Tangerines, mandarins, clementines, satsumas",495,TRUE
+Lemons and limes,497,TRUE
+Grapefruit (inc. pomelos),507,TRUE
+Apples,515,TRUE
+Pears,521,TRUE
+Quinces,523,TRUE
+Apricots,526,TRUE
+"Cherries, sour",530,TRUE
+Cherries,531,TRUE
+Peaches and nectarines,534,TRUE
+Plums and sloes,536,TRUE
+Strawberries,544,TRUE
+Gooseberries,549,TRUE
+Currants,550,TRUE
+Blueberries,552,TRUE
+Cranberries,554,TRUE
+Grapes,560,TRUE
+Wine,564,TRUE
+Watermelons,567,TRUE
+"Melons, other (inc.cantaloupes)",568,TRUE
+Figs,569,TRUE
+"Mangoes, mangosteens, guavas",571,TRUE
+Avocados,572,TRUE
+Pineapples,574,TRUE
+Dates,577,TRUE
+Persimmons,587,TRUE
+Cashewapple,591,TRUE
+Kiwi fruit,592,TRUE
+Papayas,600,TRUE
+"Fruit, tropical fresh nes",603,TRUE
+"Fruit, fresh nes",619,TRUE
+"Coffee, green",656,TRUE
+"Cocoa, beans",661,TRUE
+Tea,667,TRUE
+Mate,671,TRUE
+Pepper (piper spp.),687,TRUE
+"Chillies and peppers, dry",689,TRUE
+Vanilla,692,TRUE
+Cinnamon (cannella),693,TRUE
+Cloves,698,TRUE
+"Nutmeg, mace and cardamoms",702,TRUE
+"Anise, badian, fennel, coriander",711,TRUE
+Ginger,720,TRUE
+Spices nes,723,TRUE
+"Meat, cattle",867,TRUE
+"Offals, edible, cattle",868,TRUE
+"Fat, cattle",869,TRUE
+"Milk, whole fresh cow",882,TRUE
+Cream fresh,885,TRUE
+"Butter, cow milk",886,TRUE
+"Milk, skimmed cow",888,TRUE
+"Milk, whole condensed",889,TRUE
+"Whey, condensed",890,TRUE
+Yoghurt,891,TRUE
+"Milk, whole evaporated",894,TRUE
+"Milk, whole dried",897,TRUE
+"Milk, skimmed dried",898,TRUE
+"Whey, dry",900,TRUE
+"Cheese, whole cow milk",901,TRUE
+"Meat, sheep",977,TRUE
+"Offals, sheep,edible",978,TRUE
+"Cheese, sheep milk",984,TRUE
+"Meat, goat",1017,TRUE
+"Offals, edible, goats",1018,TRUE
+"Meat, pig",1035,TRUE
+"Offals, pigs, edible",1036,TRUE
+"Fat, pigs",1037,TRUE
+Lard,1043,TRUE
+"Meat, chicken",1058,TRUE
+"Eggs, hen, in shell",1062,TRUE
+"Meat, duck",1069,TRUE
+"Meat, goose and guinea fowl",1073,TRUE
+"Meat, turkey",1080,TRUE
+"Eggs, other bird, in shell",1091,TRUE
+"Meat, horse",1097,TRUE
+"Fat, camels",1129,TRUE
+"Meat, rabbit",1141,TRUE
+"Meat, game",1163,TRUE
+Meat nes,1166,TRUE
+"Honey, natural",1182,TRUE
+Tallow,1225,TRUE
+"Margarine, short",1242,TRUE
+"Flour, wheat",16,TRUE
+"Bran, wheat",17,TRUE
+Macaroni,18,TRUE
+Bread,20,TRUE
+Bulgur,21,TRUE
+Pastry,22,TRUE
+"Rice, husked",28,TRUE
+"Rice, milled/husked",29,TRUE
+"Rice, milled",31,TRUE
+"Rice, broken",32,TRUE
+"Oil, rice bran",36,TRUE
+"Flour, rice",38,TRUE
+"Beverages, fermented rice",39,TRUE
+"Cereals, breakfast",41,TRUE
+"Barley, pearled",46,TRUE
+Malt,49,TRUE
+"Germ, maize",57,TRUE
+"Flour, maize",58,TRUE
+"Bran, maize",59,TRUE
+Oats rolled,76,TRUE
+"Bran, millet",81,TRUE
+"Bran, sorghum",85,TRUE
+"Flour, mixed grain",104,TRUE
+Infant food,109,TRUE
+Wafers,110,TRUE
+"Flour, cereals",111,TRUE
+Cereal preparations nes,113,TRUE
+Mixes and doughs,114,TRUE
+"Food preparations, flour, malt extract",115,TRUE
+"Flour, potatoes",117,TRUE
+"Potatoes, frozen",118,TRUE
+"Flour, cassava",126,TRUE
+Cassava dried,128,TRUE
+"Starch, cassava",129,TRUE
+"Flour, roots and tubers nes",150,TRUE
+Maple sugar and syrups,160,TRUE
+Sugar non-centrifugal,163,TRUE
+Sugar refined,164,TRUE
+"Fructose and syrup, other",166,TRUE
+Sugar nes,167,TRUE
+Sugar confectionery,168,TRUE
+Glucose and dextrose,172,TRUE
+Lactose,173,TRUE
+"Flour, pulses",212,TRUE
+"Brazil nuts, shelled",229,TRUE
+"Cashew nuts, shelled",230,TRUE
+Almonds shelled,231,TRUE
+"Walnuts, shelled",232,TRUE
+"Hazelnuts, shelled",233,TRUE
+"Nuts, prepared (exc. groundnuts)",235,TRUE
+"Oil, soybean",237,TRUE
+Soya sauce,239,TRUE
+Soya paste,240,TRUE
+"Groundnuts, shelled",243,TRUE
+"Groundnuts, prepared",246,TRUE
+Peanut butter,247,TRUE
+"Coconuts, desiccated",250,TRUE
+Copra,251,TRUE
+Olives preserved,262,TRUE
+Butter of karite nuts,264,TRUE
+"Oil, castor beans",266,TRUE
+"Oil, olive residues",274,TRUE
+"Flour, mustard",295,TRUE
+"Oil, vegetable origin nes",340,TRUE
+"Juice, tomato",390,TRUE
+"Tomatoes, paste",391,TRUE
+"Tomatoes, peeled",392,TRUE
+Sweet corn frozen,447,TRUE
+Sweet corn prep or preserved,448,TRUE
+"Mushrooms, canned",451,TRUE
+"Vegetables, dehydrated",469,TRUE
+Vegetables in vinegar,471,TRUE
+"Vegetables, preserved nes",472,TRUE
+"Vegetables, frozen",473,TRUE
+"Vegetables, temporarily preserved",474,TRUE
+"Vegetables, preserved, frozen",475,TRUE
+"Vegetables, homogenized preparations",476,TRUE
+"Juice, orange, single strength",491,TRUE
+"Juice, orange, concentrated",492,TRUE
+"Juice, lemon, single strength",498,TRUE
+"Juice, lemon, concentrated",499,TRUE
+"Juice, grapefruit",509,TRUE
+"Juice, grapefruit, concentrated",510,TRUE
+"Juice, citrus, single strength",513,TRUE
+"Juice, citrus, concentrated",514,TRUE
+Cider etc,517,TRUE
+"Juice, apple, single strength",518,TRUE
+"Juice, apple, concentrated",519,TRUE
+"Apricots, dry",527,TRUE
+Plums dried (prunes),537,TRUE
+Raisins,561,TRUE
+"Juice, grape",562,TRUE
+Vermouths & similar,565,TRUE
+Figs dried,570,TRUE
+Pineapples canned,575,TRUE
+"Juice, pineapple",576,TRUE
+"Juice, pineapple, concentrated",580,TRUE
+"Fruit, dried nes",620,TRUE
+"Juice, fruit nes",622,TRUE
+"Fruit, prepared nes",623,TRUE
+"Fruit, cooked, homogenized preparations",626,TRUE
+"Beverages, distilled alcoholic",634,TRUE
+"Coffee, roasted",657,TRUE
+"Coffee, substitutes containing coffee",658,TRUE
+"Coffee, extracts",659,TRUE
+"Cocoa, paste",662,TRUE
+"Cocoa, butter",664,TRUE
+"Cocoa, powder & cake",665,TRUE
+Chocolate products nes,666,TRUE
+"Tea, mate extracts",672,TRUE
+"Feed and meal, gluten",846,TRUE
+"Meat, cattle, boneless (beef & veal)",870,TRUE
+"Meat, beef and veal sausages",874,TRUE
+"Meat, beef, preparations",875,TRUE
+"Yoghurt, concentrated or not",892,TRUE
+"Buttermilk, curdled, acidified milk",893,TRUE
+"Cheese, processed",907,TRUE
+"Milk, products of natural constituents nes",909,TRUE
+Ice cream and edible ice,910,TRUE
+Grease incl. lanolin wool,994,TRUE
+"Meat, pork",1038,TRUE
+Bacon and ham,1039,TRUE
+"Meat, pig sausages",1041,TRUE
+"Meat, pig, preparations",1042,TRUE
+"Offals, liver chicken",1059,TRUE
+"Fat, liver prepared (foie gras)",1060,TRUE
+"Meat, chicken, canned",1061,TRUE
+"Eggs, liquid",1063,TRUE
+"Eggs, dried",1064,TRUE
+"Offals, liver geese",1074,TRUE
+"Offals, liver duck",1075,TRUE
+"Meat, dried nes",1164,TRUE
+"Oils, fats of animal nes",1168,TRUE
+Food prep nes,1232,TRUE
+"Margarine, liquid",1241,TRUE
+"Fat nes, prepared",1243,TRUE
+"Oil, boiled etc",1274,TRUE
+Fatty acids,1276,TRUE
+Fatty substance residues,1277,TRUE
+Cereals nes,108,FALSE
+Yautia (cocoyam),135,FALSE
+Taro (cocoyam),136,FALSE
+Yams,137,FALSE
+Sugar cane,156,FALSE
+"Cow peas, dry",195,FALSE
+Pigeon peas,197,FALSE
+Lupins,210,FALSE
+Pulses nes,211,FALSE
+"Brazil nuts, with shell",216,FALSE
+"Groundnuts, with shell",242,FALSE
+Oil palm fruit,254,FALSE
+Palm kernels,256,FALSE
+Castor oil seed,265,FALSE
+Tung nuts,275,FALSE
+Jojoba seed,277,FALSE
+Safflower seed,280,FALSE
+Melonseed,299,FALSE
+Tallowtree seed,305,FALSE
+Kapok fruit,310,FALSE
+Kapokseed in shell,311,FALSE
+Hempseed,336,FALSE
+Cassava leaves,378,FALSE
+"Vegetables, leguminous nes",420,FALSE
+String beans,423,FALSE
+Okra,430,FALSE
+Chicory roots,459,FALSE
+Carobs,461,FALSE
+"Fruit, citrus nes",512,FALSE
+"Fruit, stone nes",541,FALSE
+"Fruit, pome nes",542,FALSE
+Raspberries,547,FALSE
+Berries nes,558,FALSE
+"Ghee, butteroil of cow milk",887,FALSE
+"Milk, skimmed evaporated",895,FALSE
+"Milk, skimmed condensed",896,FALSE
+"Milk, dry buttermilk",899,FALSE
+"Cheese, skimmed cow milk",904,FALSE
+"Meat, buffalo",947,FALSE
+"Offals, edible, buffaloes",948,FALSE
+"Fat, buffaloes",949,FALSE
+"Milk, whole fresh buffalo",951,FALSE
+"Butter, buffalo milk",952,FALSE
+"Ghee, buffalo milk",953,FALSE
+"Cheese, buffalo milk",955,FALSE
+"Fat, sheep",979,FALSE
+"Milk, whole fresh sheep",982,FALSE
+"Butter and ghee, sheep milk",983,FALSE
+"Fat, goats",1019,FALSE
+"Milk, whole fresh goat",1020,FALSE
+"Cheese, goat milk",1021,FALSE
+"Meat, bird nes",1089,FALSE
+"Offals, horses",1098,FALSE
+"Meat, ass",1108,FALSE
+"Meat, mule",1111,FALSE
+"Meat, camel",1127,FALSE
+"Offals, edible, camels",1128,FALSE
+"Milk, whole fresh camel",1130,FALSE
+"Meat, other rodents",1151,FALSE
+"Snails, not sea",1176,FALSE
+"Germ, wheat",19,FALSE
+"Starch, wheat",23,FALSE
+"Gluten, wheat",24,FALSE
+"Beverages, fermented wheat",26,FALSE
+"Gluten, rice",33,FALSE
+"Starch, rice",34,FALSE
+"Bran, rice",35,FALSE
+"Barley, pot",45,FALSE
+"Bran, barley",47,FALSE
+"Flour, barley and grits",48,FALSE
+Malt extract,50,FALSE
+"Gluten, maize",63,FALSE
+"Starch, maize",64,FALSE
+Beer of maize,66,FALSE
+"Flour, rye",72,FALSE
+"Bran, rye",73,FALSE
+"Bran, oats",77,FALSE
+"Flour, millet",80,FALSE
+Beer of millet,82,FALSE
+"Flour, sorghum",84,FALSE
+Beer of sorghum,86,FALSE
+"Flour, buckwheat",90,FALSE
+"Bran, buckwheat",91,FALSE
+"Flour, fonio",95,FALSE
+"Bran, fonio",96,FALSE
+"Flour, triticale",98,FALSE
+"Bran, triticale",99,FALSE
+"Bran, mixed grains",105,FALSE
+"Bran, cereals nes",112,FALSE
+"Starch, potatoes",119,FALSE
+"Tapioca, potatoes",121,FALSE
+"Tapioca, cassava",127,FALSE
+Roots and tubers dried,151,FALSE
+Fructose chemically pure,154,FALSE
+Maltose chemically pure,155,FALSE
+"Sugar, cane, raw, centrifugal",158,FALSE
+Isoglucose,175,FALSE
+"Bran, pulses",213,FALSE
+Soya curd,241,FALSE
+"Oil, tung nuts",276,FALSE
+"Oil, jojoba",278,FALSE
+"Oil, mustard",293,FALSE
+"Oil, poppy",297,FALSE
+Vegetable tallow,306,FALSE
+Kapokseed shelled,312,FALSE
+"Oil, kapok",313,FALSE
+"Oil, hempseed",337,FALSE
+"Flour, oilseeds",343,FALSE
+"Mushrooms, dried",450,FALSE
+"Juice, vegetables nes",466,FALSE
+"Juice, tangerine",496,FALSE
+"Juice, plum, single strength",538,FALSE
+"Juice, plum, concentrated",539,FALSE
+"Grapes, must",563,FALSE
+"Juice, mango",583,FALSE
+"Fruit, tropical dried nes",604,FALSE
+"Flour, fruit",624,FALSE
+"Fruits, nuts, peel, sugar preserved",625,FALSE
+Alcohol non food,632,FALSE
+"Fat, cattle butcher",871,FALSE
+"Meat, beef, dried, salted, smoked",872,FALSE
+"Meat, extracts",873,FALSE
+"Meat, homogenized preparations",877,FALSE
+Liver prep.,878,FALSE
+"Whey, fresh",903,FALSE
+"Whey, cheese",905,FALSE
+"Milk, reconstituted",908,FALSE
+Egg albumine,916,FALSE
+Casein,917,FALSE
+"Milk, skimmed buffalo",954,FALSE
+"Milk, skimmed sheep",985,FALSE
+"Butter, goat milk",1022,FALSE
+"Milk, skimmed goat",1023,FALSE
+"Fat, pig butcher",1040,FALSE
+"Fat, poultry",1065,FALSE
+"Fat, poultry, rendered",1066,FALSE
+"Offals, liver turkeys",1081,FALSE
+"Fat, other camelids",1160,FALSE
+Offals nes,1167,FALSE
+"Meat nes, preparations",1172,FALSE
+Lard stearine oil,1221,FALSE
+Degras,1222,FALSE
+"Castor oil, hydrogenated (opal wax)",1273,FALSE
+"Oil, hydrogenated",1275,FALSE
+"Cake, soybeans",238,TRUE
+"Cake, groundnuts",245,TRUE
+"Cake, copra",253,TRUE
+"Cake, palm kernel",259,TRUE
+"Cake, sunflower",269,TRUE
+"Cake, rapeseed",272,TRUE
+"Cake, sesame seed",291,TRUE
+"Cake, mustard",294,TRUE
+"Cake, cottonseed",332,TRUE
+"Cake, others",341,FALSE
+"Rice, paddy (rice milled equivalent)",30,FALSE
+Seed cotton,328,FALSE
+Hops,677,TRUE
+Peppermint,748,TRUE
+"Pyrethrum, dried",754,TRUE
+Cotton lint,767,TRUE
+Flax fibre and tow,773,TRUE
+Hemp tow waste,777,FALSE
+Kapok fibre,778,TRUE
+Jute,780,TRUE
+"Bastfibres, other",782,FALSE
+Ramie,788,FALSE
+Sisal,789,FALSE
+Agave fibres nes,800,FALSE
+Manila fibre (abaca),809,TRUE
+Coir,813,TRUE
+Fibre crops nes,821,TRUE
+"Tobacco, unmanufactured",826,TRUE
+"Rubber, natural",836,TRUE
+"Gums, natural",839,FALSE
+"Hides, cattle, fresh",919,TRUE
+"Hides, buffalo, fresh",957,FALSE
+"Wool, greasy",987,TRUE
+"Skins, sheep, fresh",995,FALSE
+"Skins, goat, fresh",1025,FALSE
+"Meat, other camelids",1158,FALSE
+Beeswax,1183,TRUE
+"Silk-worm cocoons, reelable",1185,TRUE
+"Silk, raw",1186,TRUE
+Freshwater Fish,2761,FALSE
+Demersal Fish,2762,FALSE
+Pelagic Fish,2763,FALSE
+"Marine Fish, Other",2764,FALSE
+Crustaceans,2765,FALSE
+Cephalopods,2766,FALSE
+"Molluscs, Other",2767,FALSE
+"Meat, Aquatic Mammals",2768,FALSE
+"Aquatic Animals, Others",2769,FALSE
+Aquatic Plants,2775,FALSE
+"Fish, Body Oil",2781,FALSE
+"Fish, Liver Oil",2782,FALSE
+"Cake, rice bran",360000,FALSE
+"Cake, maize",600000,FALSE
+"Cake, olive residues",2740000,FALSE
+"Cake, jojoba",2780000,FALSE
+"Cake, safflower",2810000,FALSE
+"Cake, poppy",2970000,FALSE
+"Cake, kapok",3130000,FALSE
+"Fiber, cottonseed",3320000,FALSE
+"Cake, linseed",3340000,FALSE
+"Cake, hempseed",3370000,FALSE
+"Cake, vegetable origin nes",3400000,FALSE
+"AnMeatEq, cattle",8670000,FALSE
+"AnMeatEq, buffalo",9470000,FALSE
+"AnMeatEq, sheep",9770000,FALSE
+"AnMeatEq, goat",10170000,FALSE
+"AnMeatEq, pig",10350000,FALSE
+"AnMeatEq, chicken",10580000,FALSE
+"AnMeatEq, duck",10690000,FALSE
+"AnMeatEq, goose and guinea fowl",10730000,FALSE
+"AnMeatEq, turkey",10800000,FALSE
+"AnMeatEq, horse",10970000,FALSE
+"AnMeatEq, ass",11080000,FALSE
+"AnMeatEq, mule",11110000,FALSE
+"AnMeatEq, camel",11270000,FALSE
+"AnMeatEq, rabbit",11410000,FALSE
+"AnMeatEq, other rodents",11510000,FALSE
+"AnMeatEq, other camelids",11580000,FALSE