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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / TLS_2007-2008_LSS-W3_V01_EN_M_V01_A_OCS / variable [F17]
agricultural-surveys

Living Standards Survey, Wave 3 (extension), 2007-2008

Timor-Leste, 2007 - 2008
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Reference ID
TLS_2007-2008_LSS-W3_v01_EN_M_v01_A_OCS
Producer(s)
National Statistics Directorate
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 15, 2020
Last modified
Nov 08, 2022
Page views
44404
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • 00_xcover
  • ag_equipment
  • ag_implement
  • ag_input
  • ag_labour
  • assistance
  • basicvars
  • boat
  • by_product
  • comm_group
  • crop
  • durables
  • employment
  • enterprise
  • facility
  • fish_exp
  • food
  • forestry
  • h_provider
  • hhold
  • indiv
  • livestock
  • non_food
  • other_income
  • plot
  • savings
  • sect01_indi_2
  • sect01_xQ27
  • sect01_xQ28_29
  • sect02
  • sect02_forest
  • sect02_plots
  • sect03a
  • sect03b
  • sect04a
  • sect04b
  • sect04c
  • sect04d
  • sect05a1
  • sect05a2
  • sect05b
  • sect05c1
  • sect05c2
  • sect05d1
  • sect05d2
  • sect05d3
  • service
  • TLSLS-2007-consumption
  • weights

FoodItem/Code (fcode)

Data file: food

Overview

Valid: 117343
Invalid: 0
Type: Discrete
Decimal: 0
Width: 31
Range: 1001 - 1169
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1001 Local rice 1189
1%
1003 Imported rice 3300
2.8%
1004 Corn 3601
3.1%
1005 Wheat flour 50
0%
1006 Corn Flour 84
0.1%
1007 Palm flour 210
0.2%
1008 Other cereals 12
0%
1011 Cassava 3098
2.6%
1012 Sweet potatoes 1567
1.3%
1013 Sago (ambon sago) 277
0.2%
1014 Taro 1181
1%
1015 Potatoes 323
0.3%
1016 Yams 221
0.2%
1017 Other tubers 34
0%
1021 Tuna 57
0%
1022 V. small sea fish 1159
1%
1023 Other fresih fish 575
0.5%
1024 Salted fish 311
0.3%
1025 Canned fish 497
0.4%
1026 Squid 18
0%
1027 Fresh shrimp 56
0%
1028 Dried shrimp 7
0%
1029 Other seafood 51
0%
1031 Beef 1144
1%
1032 Buffalo meat 372
0.3%
1033 Goat 213
0.2%
1034 Pork 1044
0.9%
1035 Chicken 770
0.7%
1036 Canned meat 57
0%
1037 Meat scraps and bones 239
0.2%
1038 Other meat 44
0%
1041 Chicken eggs 1280
1.1%
1042 Other eggs 9
0%
1043 Fresh milk 38
0%
1044 Canned sweet milk 768
0.7%
1045 Powdered milk 125
0.1%
1046 Baby milk 112
0.1%
1047 Other eggs/milk and dairy 7
0%
1051 Spinach 1454
1.2%
1052 Kangkung 2544
2.2%
1053 Cabbage 926
0.8%
1054 Light mustard green 2264
1.9%
1055 Dark mustard green 1398
1.2%
1056 String bean 571
0.5%
1057 Tomato 1338
1.1%
1058 Carrot 337
0.3%
1059 Cucumber 476
0.4%
1061 Cassava leaves 3801
3.2%
1062 Eggplant 1066
0.9%
1063 Squash 1027
0.9%
1064 Papaya, young 2592
2.2%
1065 Papaya flowers 2706
2.3%
1066 Lettuce 376
0.3%
1067 Pumpkin 1334
1.1%
1068 Pumpkin leaves 1787
1.5%
1069 Kabura 202
0.2%
1071 A Timor veg 1246
1.1%
1072 Tips of banana plants 1560
1.3%
1073 Green bitter melon 560
0.5%
1074 Onion (big) 3721
3.2%
1075 Garlic 2921
2.5%
1076 Red pepper/chili 2095
1.8%
1077 Sukun 281
0.2%
1078 Other vegetables 331
0.3%
1081 Soya bean 379
0.3%
1082 Mung bean 658
0.6%
1083 Cashews 8
0%
1084 Peanuts 773
0.7%
1085 Kidney beans 1400
1.2%
1086 Tofu & Tempe 373
0.3%
1087 Other legumes/nuts 799
0.7%
1091 Orange/tangerines 646
0.6%
1092 Mango 544
0.5%
1093 Apples 87
0.1%
1094 Avocado 187
0.2%
1095 Pineapple 219
0.2%
1096 Banana 2118
1.8%
1097 Green banana 1487
1.3%
1098 Papaya 1000
0.9%
1099 Jambu air 147
0.1%
1101 Guava 424
0.4%
1102 Watermelon 99
0.1%
1103 Soursop 27
0%
1104 Jackfruit 145
0.1%
1105 Markisa 21
0%
1106 Canned fruit 7
0%
1107 Coconuts 923
0.8%
1108 Other fruit 92
0.1%
1111 Coconut oil 775
0.7%
1112 Pork oil 102
0.1%
1113 Other cooking oil 3708
3.2%
1114 Dry coconut 221
0.2%
1115 Butter and margarine 102
0.1%
1116 Other oil and fat 15
0%
1121 Sugar 4025
3.4%
1122 Palm sugar 8
0%
1123 Tea 1705
1.5%
1124 Coffee 3496
3%
1125 Cocoa/Chocolate powder 29
0%
1126 Soda drinks (Sprite, Coca Cola) 98
0.1%
1127 Other beverages 23
0%
1131 Salt 4436
3.8%
1132 Honey 43
0%
1133 Candle nut 19
0%
1134 Paprika 1457
1.2%
1135 Soy sauce sweet/sour 389
0.3%
1136 MSG 2780
2.4%
1137 Other ingredients (spices) 992
0.8%
1141 Instant noodles 2958
2.5%
1142 Macronie 43
0%
1143 White bread 84
0.1%
1144 Sweet bread 1252
1.1%
1145 Biscuits 583
0.5%
1146 Sweets/cakes 29
0%
1147 Snacks 84
0.1%
1148 Other food 0
0%
1149 Prepared food and drink 0
0%
1151 Beer 85
0.1%
1152 Wine 18
0%
1153 Tua mutin 781
0.7%
1154 Tua sabu 591
0.5%
1155 Other alcoholic beverages 91
0.1%
1161 Clove cigarette, filter 496
0.4%
1162 Clove cigarette, non filter 86
0.1%
1163 Tobacco cigarette, filter 478
0.4%
1164 Tobacco cigarette, non filter 145
0.1%
1165 Tobacco 1853
1.6%
1166 Beatel fruit 972
0.8%
1167 Beatel nuts 2433
2.1%
1168 Beatel leaves 1855
1.6%
1169 Areca nut 2426
2.1%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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