Urban Informal Settlements Survey 2016
Bangladesh, 2016
Get MicrodataCreated on
Oct 10, 2017
Last modified
Oct 10, 2017
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Food Item (Code) (s4a2q01)
Data file: hh_sec_4a2_000
Overview
Valid:
89182
Invalid:
0
Minimum:
11
Maximum:
204
Type:
Discrete
Decimal:
0
Start:
43
End:
45
Width:
3
Range:
-
Format:
Questions and instructions
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 | Wheat (Atta) |
| 18 | Flour |
| 19 | Vermicelli/Suji |
| 21 | Bread/Bonroti |
| 22 | Biscuits |
| 23 | Cake |
| 24 | Other (specify) |
| 30 | Pulses |
| 31 | Lentil (musur) |
| 32 | Chickling-Vetch (mug) |
| 33 | Green gram (boot) |
| 34 | Pea gram (kheshari) |
| 35 | Mashkalai |
| 36 | Other (specify) |
| 40 | Fish |
| 41 | Hilsa |
| 42 | Rhui/Katla/ Mrigel/ Kali baush |
| 43 | Pangash |
| 44 | Boal/Air |
| 45 | Magur/Shing |
| 46 | koi |
| 47 | Silver carp/Grass carp/ Miror carp |
| 48 | Shoal/Gajar/Taki |
| 49 | Puti/Big Puti/Telapia/Nilotica |
| 51 | Mala-kachi/Chala-chapila/Khalsha |
| 52 | Other small fishes (with tangra) |
| 53 | Shrimp |
| 54 | Dried fish |
| 55 | Eel fish |
| 56 | sea fish |
| 57 | Baila |
| 58 | Other (specify) |
| 60 | Eggs |
| 61 | Hen egg |
| 62 | Duck egg |
| 63 | Other (specify) |
| 70 | Meat |
| 71 | Beef |
| 72 | Buffalo |
| 73 | Mutton |
| 74 | Sheep |
| 75 | Hen |
| 76 | Duck |
| 77 | Other (specify) |
| 80 | Vegetables |
| 81 | Potato |
| 82 | Brinjal |
| 83 | White gourd/ Pumpkin |
| 84 | Water gourd |
| 85 | Balsam apple |
| 86 | Perbol (Patal) |
| 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 | Radish |
| 95 | Ladies' finger |
| 96 | (All types of leafy veg.(Spinach/ Amaranta/ Basil) |
| 97 | Other (specify) |
| 100 | Milk & Dairy |
| 101 | Liquid milk |
| 102 | Powder milk |
| 103 | Curd |
| 104 | Casein (ponir)/ Butter |
| 105 | Milk drinks |
| 106 | Other (specify) |
| 110 | Sweetmeat |
| 111 | Rasogolla/ Chamcham/ Shandash |
| 112 | Jilapi/ Bundia/ Amriti |
| 113 | Halua/ Batasha/ Kadma |
| 114 | Other (specify) |
| 120 | Oil & Fats |
| 121 | Mustard oil |
| 122 | Soybean oil |
| 123 | Palm oil |
| 124 | Dalda/ Vanashpati |
| 125 | Ghee |
| 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 | Amra/Kamranga |
| 148 | Others (specify) |
| 150 | Drinks |
| 151 | Soft drinks(peepsi/RC/Mojo/Coke, Sherbat, etc. |
| 152 | Ovaltine/ Horlicks |
| 153 | Tea/ Coffee leaf |
| 154 | Liquid (Ros) of Sugarcane/ Date/Palm |
| 155 | Green coconut water |
| 156 | Other (specify) |
| 160 | Sugar & molasses |
| 161 | Sugar/ Misri |
| 162 | Molasses (Sugarcane/ Date/ Palm) |
| 163 | Khaja/ Logenze/ Toffee |
| 164 | Chocolate |
| 165 | Ice-cream |
| 166 | Other (specify) |
| 170 | Miscellaneous Food |
| 171 | Pickles |
| 172 | Jelly/ Jam |
| 173 | Amshatta |
| 174 | Sauce/Sirka |
| 175 | Other (specify) |
| 180 | Dining out (Food outside) |
| 181 | Meals (Rice/Biriani) |
| 182 | Fried chicken |
| 183 | Fish |
| 184 | Meat |
| 185 | Patties/Cake |
| 186 | Sandwich |
| 187 | Burger |
| 188 | Hotdog |
| 189 | Pizza |
| 191 | Samucha/Singara/Puri |
| 192 | Tea |
| 193 | Coffee |
| 194 | Soft drinks/bottle water |
| 195 | Other (specify) |
| 200 | Tobacco & tobacco products |
| 201 | Cigarette |
| 202 | Tobacco leaf |
| 203 | Biries |
| 204 | Gul and Other (specify) |
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.