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    Home / Central Data Catalog / KEN_2004_GEHDS_V01_M / variable [F42]
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Greater Eldoret Health and Development Survey (Round 1) 2004

Kenya, 2004
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 1178969 Metadata DDI/XML JSON
  • Study description
  • Data Description
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  • Data files
  • aghead_a
  • aghead_b
  • aghead_c
  • aghead_d
  • aghead_e
  • aghead_e1_2
  • agspouse_a
  • agspouse_b
  • agspouse_c
  • agspouse_c_2
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • assets
  • assets_I8
  • assets_I12
  • assets_I17
  • assets_II
  • assets_II5
  • assets_II11
  • assets_III
  • assets_III7
  • assets_III13
  • assets_IV
  • assets_V
  • assets_V6
  • assets_V12
  • assets_VI
  • behavior
  • behavior_c5
  • food
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • identification
  • iroster
  • othexp
  • polygamoushh
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_a27
  • shocks_b30
  • shocks_b33
  • shocks_b36
  • shocks_b40
  • shocks_c44
  • shocks_c49
  • shocks_c53
  • timealloc
  • transfers
  • transfers_a3
  • transfers_a9
  • transfers_a16
  • transfers_b3
  • youth
  • hh_roster
  • education
  • educexp
  • health
  • income
  • transfers_d
  • enterprise
CSV JSON

Item code (item)

Data file: food

Overview

Valid: 15121
Invalid: 0
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 48
Format: Numeric

Questions and instructions

Literal question
Ask for all of the following crops/livestock.
Categories
Value Category Cases
1 Tea, coffee, or cocoa 812
5.4%
2 Maize 816
5.4%
3 Wheat 22
0.1%
4 Millet or sorghum 356
2.4%
5 Rice 665
4.4%
6 Beans, peas, cowpeas, other pulses 677
4.5%
7 Groundnuts 27
0.2%
8 Sunflower seeds 0
0%
9 Avocado 254
1.7%
10 Sugar, candy, honey, or sugarcane 903
6%
11 Yams or sweet potatoes 195
1.3%
12 Cassava 19
0.1%
13 Irish Potatoes 584
3.9%
14 Sukuma wiki 770
5.1%
15 Spinach 177
1.2%
16 Capsicums/green peppers 25
0.2%
17 Tomatoes 740
4.9%
18 Onions 736
4.9%
19 Eggplant 12
0.1%
20 Cabbage 740
4.9%
21 Carrots 57
0.4%
22 Chillies 28
0.2%
23 Bananas 382
2.5%
24 Mangoes 216
1.4%
25 Oranges/Citrus 425
2.8%
26 Pineapple 101
0.7%
27 Other veg./fruits (specify) 574
3.8%
28 Chicken, duck, other poultry 270
1.8%
29 Beef 483
3.2%
30 Mutton (goat) 242
1.6%
31 Pork 8
0.1%
32 Lamb (sheep) 31
0.2%
33 Rabbit 4
0%
34 Turkey 1
0%
35 Other livestock (specify) 2
0%
36 Eggs (all birds) 612
4%
37 Fresh milk 783
5.2%
38 Yogurt (mala), cheese, other milk product 238
1.6%
39 Wheat flour, bread 671
4.4%
40 Cooking oils/fats 818
5.4%
41 Baby food, excluding milk 13
0.1%
42 Snacks 15
0.1%
43 Milk powder 9
0.1%
44 Tinned meats, fish, vegs., fruit 2
0%
45 Other prepared foods consumed at home 1
0%
46 Spices 294
1.9%
47 Fish 215
1.4%
48 Other non-seasonal items (specify) 96
0.6%
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.

Imputation and derivation

Derivation
Item code is created from an item list in the questionnaire.

Home production "Tea or coffee [taht you grow and consume]" is recoded as "Tea, coffee, or cocoa".
Home production "Honey or sugarcane" is recoded as "Sugar, candy, honey, or sugarcane".
Home production "Chicken eggs" is recoded as "Eggs (all birds)".
Purchased "Milk product" is recoded as "Yogurt (mala), cheese, other milk product".
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