Household Income and Expenditure Survey 2000
Bangladesh, 2000
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
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- Data files
- hh_s1_3_4_plist
- comm_section1
- comm_section2
- comm_section3
- comm_section4
- comm_section5
- comm_section6
- summ_assets
- hh_s6_business
- summ_cons00&05data
- hh_s9e_durables
- summ_fexp
- hh_s9a_food01
- hh_s9a_food02
- hh_s9b_food03
- summ_hhexp
- hh_s2_8_hhlist
- summ_income03
- summ_indiv_weights
- summ_nfexp
- hh_s9c_nfood01
- hh_s9d_nfood02
- hh_s9d_nfood03
- summ_pcexp_all
- activity
- agri01
- agri02
- agri03
- agri04
- agri05
- agri06
- agri07
- agri08
- summ_cons00&05data
foodcode (foodcode)
Data file: hh_s9a_food02
Overview
Valid:
808839
Invalid:
0
Minimum:
11
Maximum:
194
Type:
Discrete
Decimal:
0
Start:
22
End:
24
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
Daily consumption - food code
Categories
| Value | Category |
|---|---|
| 10 | Food grains |
| 11 | Rice - Fine |
| 12 | Rice - Medium |
| 13 | Rice - Coarse |
| 14 | Beaten rice |
| 15 | Pop rice |
| 16 | Puffed rice |
| 17 | Food grains:...as yet undefined... |
| 18 | Wheat |
| 19 | Flour |
| 21 | Vermicelli/ Suji |
| 22 | Bread/ Bonruti |
| 23 | Biscuits |
| 24 | Cake |
| 25 | Other food grains |
| 30 | Pulses |
| 31 | Lentil (musur) |
| 32 | Chickling-Vetch (mug) |
| 33 | Green gram (boot) |
| 34 | Pea gram (kheshari) |
| 35 | Mashkalai |
| 36 | Other pulses |
| 40 | Fish |
| 41 | Hilsa |
| 42 | Rhui/ Katla/ Mrigel/ Kal baush |
| 43 | Pangash/ Boal/ Air |
| 44 | Kai/ Magur/ Shinghi/ Koi |
| 45 | Kalisha |
| 46 | Silver carp/ Grass carp/ Miror carp |
| 47 | Shoal/ Gajar/ Taki |
| 48 | Puti/ Big Puti/ Telapia/ Nilotica |
| 49 | Mala-kachi/ Chala-chapila |
| 51 | Shrimp |
| 52 | Dried fish |
| 53 | Tangra/ Eelfish |
| 54 | Sea fish |
| 55 | Baila/ Tapashi |
| 56 | Other fish |
| 60 | Eggs |
| 61 | Hen egg |
| 62 | Duck egg |
| 63 | Other eggs |
| 70 | Meat |
| 71 | Beef |
| 72 | Buffalo |
| 73 | Mutton |
| 74 | Sheep |
| 75 | Hen |
| 76 | Duck |
| 77 | Other meat |
| 80 | Vegetables |
| 81 | Potato |
| 82 | Brinjal |
| 83 | White gourd/ Pumpkin |
| 84 | Water gourd |
| 85 | Balsam apple |
| 86 | Perbol |
| 87 | Snake gourd/ Ribbed gourd |
| 88 | Green banana/ Green papaya |
| 89 | Arum/ Ol-kachu/ Kachur-mukhi |
| 91 | Cauliflower/ Cabbage |
| 92 | Bean/ Lobey |
| 93 | Tomato |
| 94 | Ladies' finger |
| 95 | Spinach/ Amaranta/ Basil |
| 96 | Other vegetables |
| 100 | Milk & Dairy |
| 101 | Liquid milk |
| 102 | Powder milk |
| 103 | Curd |
| 104 | Casein (ponir)/ Butter |
| 105 | Milk drinks |
| 106 | Other milk & diary |
| 110 | Sweetmeat |
| 111 | Rasogolla/ Chamcham/ Shandash |
| 112 | Jilapi/ Bundia/ Amriti |
| 113 | Halua/ Batasha/ Kadma |
| 114 | Other sweetmeat |
| 120 | Oil & Fats |
| 121 | Mustard oil |
| 122 | Soybean oil |
| 123 | Dalda/ Vanashpati |
| 124 | Ghee |
| 125 | Other oil & fats |
| 130 | Fruits |
| 131 | Ripe banana |
| 132 | Mango |
| 133 | Melon/ Bangi |
| 134 | Jack fruit |
| 135 | Leeches |
| 136 | Ripe papaya |
| 137 | Guava |
| 138 | Pineapple |
| 139 | Safeda |
| 141 | Palm |
| 142 | Bedana |
| 143 | Apple |
| 144 | Orange |
| 145 | Grape |
| 146 | Black berry |
| 147 | Emblic/ Amra/ Kamranga |
| 148 | Other fruits |
| 150 | Drinks |
| 151 | Fanta/ Coca-Cola/ Sherbat etc. |
| 152 | Ovaltine/ Horlicks |
| 153 | Tea/ Coffee leaf |
| 154 | Liquid of Sugarcane/ Date/ Palm |
| 155 | Green coconut |
| 156 | Other drinks |
| 160 | Sugar & molasses |
| 161 | Sugar/ Misri |
| 162 | Molasses (Sugarcane/ Date/ Palm) |
| 163 | Khaja/ Logenze/ Toffee |
| 164 | Chocolate |
| 165 | Ice-cream |
| 166 | Other sugar & molasses |
| 170 | Miscellaneous Food |
| 171 | Pickles |
| 172 | Jelly/ Jam |
| 173 | Amshatta |
| 174 | Sauce |
| 175 | Other miscellaneous food |
| 180 | Dining out |
| 181 | Meals |
| 182 | Tea/ Coffee |
| 183 | Soft drinks |
| 184 | Snacks |
| 185 | Prepared Betel-leaf |
| 186 | Sweetmeat |
| 187 | Other dining out |
| 190 | Tobacco & tobacco products |
| 191 | Cigarette |
| 192 | Tobacco leaf |
| 193 | Biri |
| 194 | Other tobacco & tobacco products |
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.