National Socio-Economic Survey 2002
Indonesia, 2002
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
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1932
Code of food consumption (b41k1)
Data file: susenas02feb_41
Overview
Valid:
404367
Invalid:
0
Minimum:
1
Maximum:
229
Mean:
125.782
Type:
Discrete
Decimal:
0
Start:
23
End:
25
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
Code of food consumption, beverages, and tobacco during the previous week
Categories
| Value | Category |
|---|---|
| 1 | A. CEREALS [R.2-R.9] |
| 2 | Rice ( Kg ) |
| 3 | Glutinous rice ( Kg ) |
| 4 | Fresh corn with husk ( Kg ) |
| 5 | Dryshelled corn/corn rice ( Kg ) |
| 6 | Rice meal ( Kg ) |
| 7 | Corn meal ( Kg ) |
| 8 | Wheat flour ( Kg ) |
| 9 | Others - cereals ( Kg ) |
| 10 | B. TUBERS [R.11-R.19] |
| 11 | Cassava ( Kg ) |
| 12 | Sweet potatoes ( Kg ) |
| 13 | Sago flour ( Kg ) |
| 14 | Taro ( Kg ) |
| 15 | Potatoes ( Kg ) |
| 16 | Dried cassava ( Kg ) |
| 17 | Flour dried cassava ( Kg ) |
| 18 | Cassava flour ( Kg ) |
| 19 | Others - tubers ( Kg ) |
| 20 | C. FISH/SHRIMP/SQUID/SHELL [R.21-R.52] |
| 21 | Yellow tail/fusiliers ( Kg ) |
| 22 | Eastern tuna/skipjack tuna ( Kg ) |
| 23 | Mackerel ( Kg ) |
| 24 | Trevallies ( Kg ) |
| 25 | Indian mackerel ( Kg ) |
| 26 | Anchovies ( Kg ) |
| 27 | Milk Fish ( Kg ) |
| 28 | Snake Head ( Kg ) |
| 29 | Mozambique tilapia ( Kg ) |
| 30 | Common carp ( Kg ) |
| 31 | Catfish ( Kg ) |
| 32 | Barramundi ( Kg ) |
| 33 | Baronang ( Kg ) |
| 34 | Others - fresh fish ( Kg ) |
| 35 | Shrimp ( Kg ) |
| 36 | Common squid/cuttle fish ( Kg ) |
| 37 | Mud crab/swim crab ( Kg ) |
| 38 | Cockle/snail ( Kg ) |
| 39 | Others - fresh shrimp and other fresh seafoods ( Kg ) |
| 40 | Indian mackerel ( Ounce ) |
| 41 | Mackerel ( Ounce ) |
| 42 | Eastern tuna/skipjack tuna ( Ounce ) |
| 43 | Anchovies ( Ounce ) |
| 44 | Trevallies ( Ounce ) |
| 45 | Snakeskin gourame ( Ounce ) |
| 46 | Milk fishes ( Ounce ) |
| 47 | Snake head ( Ounce ) |
| 48 | Canned fish ( Ounce ) |
| 49 | Others - preserved fish ( Ounce ) |
| 50 | Shrimps ( Ounce ) |
| 51 | Common squids ( Ounce ) |
| 52 | Others - shrimp and other preserved seafoods ( Ounce ) |
| 53 | D. MEAT [R.54-R.70] |
| 54 | Beef ( Kg ) |
| 55 | Buffalo meat ( Kg ) |
| 56 | Lamb meat ( Kg ) |
| 57 | Pork ( Kg ) |
| 58 | Broiler Meat ( Kg ) |
| 59 | Local chicken meat ( Kg ) |
| 60 | Other poultry meat ( Kg ) |
| 61 | Other - fresh meat ( Kg ) |
| 62 | Dried beef ( Kg ) |
| 63 | Shredded fried meat ( Ounce ) |
| 64 | Canned meat ( Kg ) |
| 65 | Others - preserved meats ( Kg ) |
| 66 | Liver ( Kg ) |
| 67 | Innards excluding Liver ( Kg ) |
| 68 | Trimming ( Kg ) |
| 69 | Bone (untrimmed) ( Kg ) |
| 70 | Others - meat ( Kg ) |
| 71 | E. EGGS AND MILK [R.72-R.84] |
| 72 | Broiler egg ( Kg ) |
| 73 | Local chicken Egg ( egg ) |
| 74 | Duck egg ( egg ) |
| 75 | Quail egg ( egg ) |
| 76 | Other egg ( egg ) |
| 77 | Salted egg ( egg ) |
| 78 | Fresh milk ( Liter ) |
| 79 | Preserved milk ( 250ml ) |
| 80 | Sweet canned Liquid Milk ( 397gr ) |
| 81 | Canned powder Milk ( Kg ) |
| 82 | Baby powder Milk ( 400gr ) |
| 83 | Cheese ( Ounce ) |
| 84 | Milk product ( Ounce ) |
| 85 | F. VEGETABLES [R.86-R.114] |
| 86 | Spinach ( Kg ) |
| 87 | Swamp cabbage ( Kg ) |
| 88 | Cabbage ( Kg ) |
| 89 | Chinese cabbage ( Kg ) |
| 90 | Mustard greens ( Kg ) |
| 91 | Beans ( Kg ) |
| 92 | String bean ( Kg ) |
| 93 | Tomato ( Ounce ) |
| 94 | Carrot ( Kg ) |
| 95 | Cucumber ( Kg ) |
| 96 | Cassava leaf ( Kg ) |
| 97 | Aubergine ( Kg ) |
| 98 | Bean sprout ( Kg ) |
| 99 | Squash ( Kg ) |
| 100 | Unripe corn ( Ounce ) |
| 101 | Soup/stir-fried vegetables ( Bungkus ) |
| 102 | Sour vegetable Soup ( Bungkus ) |
| 103 | Young jackfruit ( Kg ) |
| 104 | Unripe papaya ( Kg ) |
| 105 | Mushroom ( Ounce ) |
| 106 | Petai beans ( Ounce ) |
| 107 | Stink beans ( Kg ) |
| 108 | Onion ( Ounce ) |
| 109 | Garlic ( Ounce ) |
| 110 | Chillies ( Ounce ) |
| 111 | Green chili ( Ounce ) |
| 112 | Cayenne pepper ( Ounce ) |
| 113 | Canned vegetable ( Kg ) |
| 114 | Others - vegetables ( Kg ) |
| 115 | G. LEGUMES [R.116-R.126] |
| 116 | Peanuts without shell ( Kg ) |
| 117 | Peanuts with shell ( Kg ) |
| 118 | Soybean ( Kg ) |
| 119 | Mungbean ( Kg ) |
| 120 | Red kidney bean ( Ounce ) |
| 121 | Other bean ( Kg ) |
| 122 | Tofu, soybean curd ( Kg ) |
| 123 | Fermented soybean cake ( Kg ) |
| 124 | Fermented soybean paste ( Ounce ) |
| 125 | Fermented soya cake ( Ounce ) |
| 126 | Others - legumes ( Ounce ) |
| 127 | H. FRUITS [R.128-R.150] |
| 128 | Orange ( Kg ) |
| 129 | Mango ( Kg ) |
| 130 | Apple ( Kg ) |
| 131 | Avocado ( Kg ) |
| 132 | Rambutan ( Kg ) |
| 133 | Lanzon ( Kg ) |
| 134 | Durian ( Kg ) |
| 135 | Zalacca ( Kg ) |
| 136 | Pineapple ( Kg ) |
| 137 | Ambon banana ( Kg ) |
| 138 | Raja banana ( Kg ) |
| 139 | Other banana ( Kg ) |
| 140 | Papaya ( Kg ) |
| 141 | Rose-apple ( Kg ) |
| 142 | Sapodilla ( Kg ) |
| 143 | Carambola ( Kg ) |
| 144 | Spanish plum ( Kg ) |
| 145 | Watermelon ( Kg ) |
| 146 | Melon ( Kg ) |
| 147 | Jack fruit ( Kg ) |
| 148 | Tomato ( Kg ) |
| 149 | Canned fruit ( Kg ) |
| 150 | Others - fruits ( Kg ) |
| 151 | I. OILS AND FATS [R.152-R.157] |
| 152 | Coconut oil ( Liter ) |
| 153 | Corn oil ( Liter ) |
| 154 | Other frying oil ( Liter ) |
| 155 | Coconut ( Unit ) |
| 156 | Margarine ( Ounce ) |
| 157 | Others - oils and fats ( Liter ) |
| 158 | J. BEVERAGE STUFF [R.159-R.166] |
| 159 | Cane sugar ( Ounce ) |
| 160 | Brown sugar ( Ounce ) |
| 161 | T e a ( Ounce ) |
| 162 | Powdered/bean Coffee ( Ounce ) |
| 163 | Instant cocoa ( 150gr ) |
| 164 | Powdered cocoa ( Ounce ) |
| 165 | Syrup ( 620ml ) |
| 166 | Others - beverage Stuff |
| 167 | K. SPICES [R.168-R.180] |
| 168 | Salt ( Ounce ) |
| 169 | Candlenut ( Ounce ) |
| 170 | Coriander ( Ounce ) |
| 171 | Pepper ( Ounce ) |
| 172 | Tamarind ( Ounce ) |
| 173 | Nutmeg ( Ounce ) |
| 174 | Clove ( Ounce ) |
| 175 | Fish paste ( Ounce ) |
| 176 | Soya sauce ( 140ml ) |
| 177 | Monosodium glutamate ( Gram ) |
| 178 | Chili sauce/tomato Sauce ( 140ml ) |
| 179 | Spice ( Ounce ) |
| 180 | Other - spices |
| 181 | L. MISCELLANEOUS FOOD ITEM [R.182-R.190] |
| 182 | Instant noodle ( Ounce ) |
| 183 | Wheat noodle ( Ounce ) |
| 184 | Rice noodle ( Kg ) |
| 185 | Macaroni ( 80gr ) |
| 186 | Crisps ( Ounce ) |
| 187 | Fried chips ( Ounce ) |
| 188 | Seaweed pack ( Pack (7 gr)) |
| 189 | Porridge in package ( 150 gr ) |
| 190 | Others - miscellaneous food item |
| 191 | M. PREPARED FOOD AND BEVERAGES [ R.192-R.222] |
| 192 | Ordinary bread small pack ( Small pack ) |
| 193 | Other bread ( Piece ) |
| 194 | Cookies ( Ounce ) |
| 195 | Boil or steam cake ( Piece ) |
| 196 | Fried food ( Piece ) |
| 197 | Porridge of mung bean bowl ( Portion ) |
| 198 | Kind of salad with peanuts sauce plate ( Portion ) |
| 199 | A Plate of rice accompanied by a mixture of dishes plate ( Portion ) |
| 200 | Fried rice plate ( Portion ) |
| 201 | Rice plate ( Portion ) |
| 202 | Rice steamed in a banana leaf or coconut leaf bowl ( Portion ) |
| 203 | Soup bowl ( Portion ) |
| 204 | Roasted meat on skewer/satay plate/5 skewer ( Portion/5 skewers ) |
| 205 | Noodle (with meatball/boiled/fried) bowl ( Portion ) |
| 206 | Instant noodle bowl ( Portion ) |
| 207 | Snack for children ( Ounce ) |
| 208 | Fish (fried, roasted, etc) ( Piece ) |
| 209 | Chicken/meat (fried, roasted, etc) ( Piece ) |
| 210 | Ice cream (Small cup) |
| 211 | Other ice (describe) (Glass 200ml) |
| 212 | Other delicatessen (describe): |
| 213 | Carbonated soft drinks (200ml) |
| 214 | a.Bottled water (500ml ),b.Large bottled water (by gallons)(Gallon) |
| 215 | Bottled tea (200ml) |
| 216 | Bottled juice (200ml) |
| 217 | Health/energy drinks(100ml) |
| 218 | Other beverages (coffee, coffee & milk, tea, chocolate milk, etc.)(Glass) |
| 219 | N. ALCOHOLIC BEVERAGES [R.220-R.222] |
| 220 | Beer(620ml) |
| 221 | Wine(620ml) |
| 222 | Other alcoholic beverages (describe):(620ml) |
| 223 | O. TOBACCO AND BETEL [R.224-R.229] |
| 224 | Clove filter cigarettes |
| 225 | Clove non filter cigarettes ( Piece ) |
| 226 | Cigarettes ( Piece ) |
| 227 | Tobacco ( Piece ) |
| 228 | Betel/areca nut ( Ounce ) |
| 229 | Others - tobacco and betel |
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.