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    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2006_GEHDS_V01_M_V01_A_RUF / variable [F4]
impact_evaluation

Greater Eldoret Health and Development Survey (Round 3) 2006 - Research Use Files

Kenya, 2006
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Reference ID
KEN_2006_GEHDS_v01_M_v01_A_RUF
DOI
https://doi.org/10.48529/hy5x-1m23
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
206841
Downloads
1392
  • Study Description
  • Data Description
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  • Data files
  • agriculture
  • agriculture_a
  • agriculture_b
  • agriculture_c
  • agriculture_d
  • agriculture_e
  • agriculture_f
  • agriculture_g
  • agriculture_h
  • anthropo_a
  • anthropo_b
  • anthropo_c
  • assets_1
  • assets_1_8
  • assets_1_17
  • assets_2
  • assets_2_1
  • assets_2_5
  • assets_2_11
  • assets_3
  • assets_4
  • assets_4_7
  • assets_4_13
  • assets_5
  • assets_6
  • assets_6_6
  • assets_6_12
  • assets_7
  • consump
  • consump_item
  • education
  • educexp
  • educexp_2
  • health_abd
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hhattrition
  • hhroster_3
  • hhroster_4a
  • hhroster_4b
  • housing
  • housing_2
  • identification
  • income
  • iroster
  • kb
  • kb_4
  • marriage
  • marriage_a
  • marriage_b
  • mortality
  • mortality_a
  • mortality_b
  • mortality_c
  • mortality_d
  • shocks_a
  • shocks_a_3
  • shocks_a_7
  • shocks_a_11
  • shocks_a_15
  • shocks_a_19
  • shocks_a_24
  • shocks_b
  • shocks_b_30
  • shocks_b_33
  • shocks_b_40
  • shocks_c
  • shocks_c_45
  • shocks_c_49
  • shocks_c_53
  • timealloc
  • timerisk
  • transfers
  • transfers_a_2
  • transfers_a_10
  • transfers_b
  • transfers_d_2
  • transfers_d_8
  • transfers_d_15
  • transfers_d_21
  • youth

Crop code (agc01)

Data file: agriculture_c

Overview

Valid: 3134
Invalid: 0
Minimum: 1
Maximum: 37
Mean: 11.016
Standard deviation: 12.768
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 37
Format: Numeric

Questions and instructions

Literal question
Crop Codes
Categories
Value Category Cases
1 Maize 871
27.8%
2 Wheat 10
0.3%
3 Millet or sorghum 45
1.4%
4 Rice 1
0%
5 Beans, peas, cowpeas, other pulses 754
24.1%
6 Cabbage 102
3.3%
7 Sukuma wiki 430
13.7%
8 Spinach 28
0.9%
9 Yams or Sweet potatoes 27
0.9%
10 Irish potatoes 98
3.1%
11 Cassava 5
0.2%
12 Groundnuts 2
0.1%
13 Sunflower seeds 0
0%
14 Tomatoes 26
0.8%
15 Onions, leeks 27
0.9%
16 Eggplant 0
0%
17 Carrots 3
0.1%
18 Capsicums/Green Peppers 2
0.1%
19 Chillies 1
0%
20 Coffee 1
0%
21 Tea 64
2%
22 Tobacco 0
0%
23 Cotton 0
0%
24 Lumber, wood 0
0%
25 Oil palm/palm oil 0
0%
26 Honey or Sugarcane 4
0.1%
27 Avocado 11
0.4%
28 Bananas 72
2.3%
29 Mangoes 0
0%
30 Oranges/Citrus fruits 1
0%
31 Pineapple 6
0.2%
32 Sugarcane 6
0.2%
33 Other fruits (specify) 2
0.1%
34 Other vegetables (specify) 111
3.5%
35 Grass for feed 6
0.2%
36 Fodder for feed 3
0.1%
37 415
13.2%
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.

Description

Source of information
The household head, or the person most knowledgeable about the household's agricultural activities.
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