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First Integrated Household Survey 1997-1998

Malawi, 1997 - 1998
Reference ID
MWI_1997_IHS-I_v01_M
Producer(s)
National Statistical Office (NSO)
Metadata
DDI/XML JSON
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
88711
Downloads
30567

Disaggregated coding expenditures (disagcde)

Data file: diarycommoditygrp

Overview

Valid: 818
Invalid: 0
Type: Discrete
Decimal: 0
Start: 9
End: 11
Width: 3
Range: 1 - 364
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bread 5
0.6%
2 Breakfast cereals 11
1.3%
3 Specialized staples 5
0.6%
4 Crisp bread 2
0.2%
5 Manufactured snack food 2
0.2%
6 Maize grain and maize flour 4
0.5%
7 Green maize 3
0.4%
8 Miscellaneous cereals 4
0.5%
9 Rice 2
0.2%
10 Pasta, noodles 4
0.5%
11 Potatoes 3
0.4%
12 Sweet potatoes 4
0.5%
13 Cassava 2
0.2%
14 Madeya 1
0.1%
21 Canned beans/peas 2
0.2%
22 Fresh beans/peas 3
0.4%
23 Dried beans/peas 3
0.4%
24 Pigeonpeas 1
0.1%
25 Soyabeans 1
0.1%
26 Misc. pulses 2
0.2%
31 Butter 1
0.1%
32 Misc. dairy products 5
0.6%
33 Cheese 5
0.6%
34 Eggs 1
0.1%
35 Evaporated milk 3
0.4%
36 Fresh milk 1
0.1%
37 Dried milk 2
0.2%
38 Margarine 1
0.1%
39 Yoghurt 1
0.1%
41 Cooking oil 3
0.4%
42 Salad dressing 1
0.1%
51 Green pepper 1
0.1%
52 Root vegetables, not carrots 2
0.2%
53 Brocolli 1
0.1%
54 Cabbage 1
0.1%
55 Leafy vegetable 5
0.6%
56 Melon 5
0.6%
57 Carrots 1
0.1%
58 Tinned vegetables 5
0.6%
59 Eggplant 1
0.1%
60 Passion fruit 1
0.1%
61 Tomato 1
0.1%
62 Squash, pumpkin 2
0.2%
63 Mushrooms 1
0.1%
64 Okra 1
0.1%
65 Onion 1
0.1%
66 Misc. fresh vegetables 4
0.5%
67 Groundnut 2
0.2%
68 Cucumber 1
0.1%
71 Dried nuts 5
0.6%
72 Apples 1
0.1%
73 Tinned fruit 7
0.9%
74 Dried fruit 7
0.9%
75 Minor fresh fruit 6
0.7%
76 Bananas 1
0.1%
77 Coconut 1
0.1%
78 Grapefruit 1
0.1%
79 Orange 1
0.1%
80 Tangerine 3
0.4%
81 Mango 1
0.1%
82 Guava 1
0.1%
83 Lemons 2
0.2%
84 Peaches 1
0.1%
85 Pineapple 1
0.1%
86 Plums 1
0.1%
87 Strawberries 1
0.1%
88 Wild gathered fruits 1
0.1%
91 Fresh small fish 3
0.4%
92 Fresh large fish 3
0.4%
93 Dried fish 4
0.5%
94 Dried meat 0
0%
95 Fresh meat 14
1.7%
96 Poultry 2
0.2%
97 Tinned meat 2
0.2%
98 Bacon, cold cuts 3
0.4%
99 Sausage 1
0.1%
100 Tinned fish 12
1.5%
101 Animal fat 1
0.1%
102 Cooked meat/poultry 4
0.5%
103 Cooked fish 1
0.1%
104 Other meat 2
0.2%
111 Jam and bread spread 6
0.7%
112 Baking ingredients 3
0.4%
113 Biscuits 3
0.4%
114 Cake 1
0.1%
115 Sweets/Candy 4
0.5%
116 Chocolate 3
0.4%
117 Chewing Gum 1
0.1%
118 Puddings 2
0.2%
119 Sweetener, not sugar 3
0.4%
120 Honey 1
0.1%
121 Ice cream 4
0.5%
122 Doughnuts/mandazi 3
0.4%
123 Samosas 1
0.1%
124 Sugar (white) 1
0.1%
125 Sugarcane 1
0.1%
131 Unclassified food 1
0.1%
132 Spice 10
1.2%
133 Salt 2
0.2%
134 Yeast, leaven 2
0.2%
135 Cooking mix 3
0.4%
136 Restaurant meal 2
0.2%
137 Vinegar 1
0.1%
141 Squash mix (drink) 4
0.5%
142 Imported soft drink 1
0.1%
143 Local soft drink 11
1.3%
144 Imported beer 2
0.2%
145 Local clear beer 1
0.1%
146 Manufactured opaque beer 0
0%
147 Village produced opaque beer 1
0.1%
148 Manufactured alcoholic spirits 11
1.3%
149 Village produced alcoholic spirits 1
0.1%
150 Wine 2
0.2%
151 Coffee 2
0.2%
152 Tea 3
0.4%
153 Fruit juice 1
0.1%
161 Tobacco 11
1.3%
171 Charcoal 1
0.1%
172 Coal 1
0.1%
173 Diesel 1
0.1%
174 Firewood 2
0.2%
175 Other fuel 3
0.4%
176 Cooking gas 1
0.1%
177 Paraffin 1
0.1%
178 Petrol 1
0.1%
181 Belt or ties 3
0.4%
182 Ladies undergarments 4
0.5%
183 Mens undergarments 4
0.5%
184 Children shoes 0
0%
185 Adults shoes 3
0.4%
186 Sleepwear 4
0.5%
187 Mens trousers 4
0.5%
188 Mens shirts 3
0.4%
189 Mens jackets 2
0.2%
190 Ladies blouse 1
0.1%
191 Ladies dress/skirt 2
0.2%
192 Infant clothing/nappies 4
0.5%
193 Sewing items, tailoring 15
1.8%
194 Hats 2
0.2%
195 Jumpers/sweaters 3
0.4%
196 Unspecified clothes 1
0.1%
197 Other clothing 3
0.4%
198 Raincoat 1
0.1%
199 School uniform 1
0.1%
201 Sports fees 8
1%
202 Artwork 1
0.1%
203 Childcare 2
0.2%
204 Cooking services 1
0.1%
205 Education fees 5
0.6%
206 Medical/dental services 5
0.6%
207 Transport costs 1
0.1%
208 Misc. house services 6
0.7%
209 Legal fees 1
0.1%
210 Misc. recreation 2
0.2%
211 Gardening services 1
0.1%
212 Hairdressing 1
0.1%
213 Market fees 1
0.1%
214 Postal services 3
0.4%
215 Misc. fees 5
0.6%
216 Reading material 1
0.1%
217 Ganyu (occasional labour) 1
0.1%
221 Petroleum jelly 3
0.4%
222 Contraceptives 2
0.2%
223 Malarial drugs 1
0.1%
224 Methylated spirits 1
0.1%
225 Misc. medicines 6
0.7%
226 Bandages 3
0.4%
227 Cough medicine 3
0.4%
231 Builder/mason 5
0.6%
232 Metalwork 3
0.4%
233 Woodwork/carpenter 8
1%
234 Cement 2
0.2%
235 Building/Woodworking tools 7
0.9%
236 Misc. building items 6
0.7%
237 Thatching grass 1
0.1%
238 Electrical repairs 3
0.4%
239 Plumbing 0
0%
240 Misc. repairs 2
0.2%
251 Appliance (large) 6
0.7%
252 Kitchen appliance (small) 11
1.3%
253 Music electronic item 7
0.9%
254 Video electronic item 0
0%
255 Electric light 4
0.5%
256 Misc. electric item 4
0.5%
257 Electric fan 0
0%
258 Electric heater 3
0.4%
261 Crockery, bowls, saucepans 10
1.2%
262 Kitchen hand utensils 6
0.7%
263 Miscellaneous household items 34
4.2%
264 Farming & gardening items 11
1.3%
265 Basket, containers 7
0.9%
266 Linen - towels, sheets, blankets 20
2.4%
267 Bed 2
0.2%
268 House cleaning items 7
0.9%
269 Camera 4
0.5%
270 Carpet 1
0.1%
271 Chair 4
0.5%
272 Clock/watch 2
0.2%
273 Cupboard 2
0.2%
274 Drapes/curtains 5
0.6%
275 Table/desk 4
0.5%
276 Mattress 5
0.6%
277 Cutlery/silverware 3
0.4%
278 Misc. household services 2
0.2%
279 Glassware 1
0.1%
280 Mosquito net 2
0.2%
281 Plates 2
0.2%
282 Sports items 3
0.4%
283 Bathroom items 3
0.4%
284 Sewing machine 1
0.1%
285 Shelves 1
0.1%
286 Upholstered furniture 3
0.4%
287 Transport items 10
1.2%
291 Water rates 2
0.2%
292 Electricity rates 2
0.2%
293 Telephone 5
0.6%
294 Mortgate 2
0.2%
295 Council rates 2
0.2%
296 House rent 1
0.1%
301 Vehicle repairs 2
0.2%
302 Hotel accomodation 2
0.2%
303 Misc. travel fees 2
0.2%
304 Bicycle 1
0.1%
305 Boat 2
0.2%
306 Motorcycle 0
0%
307 Car hire 3
0.4%
308 Public transport 7
0.9%
309 Automobile 2
0.2%
311 Gifts to beggars 3
0.4%
312 Gifts to charity/religious org. 7
0.9%
313 Fine 2
0.2%
314 Gift to friend/relative 3
0.4%
315 Credit repayment 1
0.1%
316 Tip 2
0.2%
321 Maize seed 1
0.1%
322 Insurance 1
0.1%
323 Savings 1
0.1%
324 Fish hook 1
0.1%
331 Newspaper 2
0.2%
332 Writing paper 3
0.4%
333 Book 2
0.2%
334 Playing cards 1
0.1%
335 Envelopes 1
0.1%
336 Misc. stationery supplies 13
1.6%
337 Pen, pencil 2
0.2%
341 Soap 3
0.4%
342 Shampoo 1
0.1%
343 Toilet paper 1
0.1%
344 Polishes 7
0.9%
345 Misc. cosmetics 5
0.6%
346 Glycerine 1
0.1%
347 Razor blades 1
0.1%
348 Toothpaste 2
0.2%
349 Skin lotion 2
0.2%
350 Baby powder 1
0.1%
351 Hair brush 2
0.2%
352 Cleaning powder 3
0.4%
353 Detergent 5
0.6%
354 Dish soap 1
0.1%
355 Hair cream 1
0.1%
361 Candle 2
0.2%
362 Pesticide 2
0.2%
363 Jewelry 7
0.9%
364 Matches 1
0.1%
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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