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agricultural-surveys

Hunger Safety Net Programme Survey 2016

Kenya, 2016
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Reference ID
KEN_2016_HSNPS_v01_EN_M_v01_A_OCS
Producer(s)
Oxford Policy Management Limited
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 19, 2020
Last modified
Nov 08, 2022
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11981
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C_4 SUB-LOCATION (C_4)

Data file: v2_1_HQ_main

Overview

Valid: 5979
Type: Discrete
Width: 244
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
MAN1011 31
0.5%
MAN1021 64
1.1%
MAN1031 27
0.5%
MAN1041 32
0.5%
MAN1051 31
0.5%
MAN1061 29
0.5%
MAN1071 29
0.5%
MAN1081 51
0.9%
MAN1091 30
0.5%
MAN1101 30
0.5%
MAN1102 29
0.5%
MAN2011 95
1.6%
MAN2012 32
0.5%
MAN2021 32
0.5%
MAN2031 32
0.5%
MAN2032 64
1.1%
MAN2041 34
0.6%
MAN2051 32
0.5%
MAN3011 32
0.5%
MAN3021 32
0.5%
MAN3031 30
0.5%
MAN3041 63
1.1%
MAN3051 32
0.5%
MAN4011 32
0.5%
MAN4021 32
0.5%
MAN4031 31
0.5%
MAN4041 31
0.5%
MAN4051 32
0.5%
MAN4061 32
0.5%
MAN4071 32
0.5%
MAN5011 32
0.5%
MAN5021 32
0.5%
MAN5031 31
0.5%
MAN5041 32
0.5%
MAN5051 31
0.5%
MAN5052 24
0.4%
MAN5061 32
0.5%
MAN5071 32
0.5%
MAN5081 32
0.5%
MAN5091 26
0.4%
MAN6011 31
0.5%
MAN6021 31
0.5%
MAN6031 32
0.5%
MAN6041 32
0.5%
MAR1011 31
0.5%
MAR1021 29
0.5%
MAR1022 30
0.5%
MAR1031 32
0.5%
MAR1032 30
0.5%
MAR1041 31
0.5%
MAR1042 30
0.5%
MAR1051 30
0.5%
MAR1061 29
0.5%
MAR1071 32
0.5%
MAR1072 30
0.5%
MAR2011 26
0.4%
MAR2021 28
0.5%
MAR2022 65
1.1%
MAR2031 31
0.5%
MAR2041 27
0.5%
MAR2042 28
0.5%
MAR2051 28
0.5%
MAR2061 28
0.5%
MAR2071 30
0.5%
MAR2081 26
0.4%
MAR2091 30
0.5%
MAR2101 27
0.5%
MAR3011 31
0.5%
MAR3021 57
1%
MAR3022 31
0.5%
MAR3031 30
0.5%
MAR3032 29
0.5%
MAR3033 26
0.4%
MAR3041 32
0.5%
MAR3042 28
0.5%
MAR3043 32
0.5%
MAR3051 24
0.4%
MAR3052 25
0.4%
MAR3061 30
0.5%
MAR3071 29
0.5%
MAR3081 29
0.5%
MAR3091 29
0.5%
MAR4011 32
0.5%
MAR4021 33
0.6%
MAR4022 29
0.5%
MAR4031 31
0.5%
MAR4041 22
0.4%
MAR4042 26
0.4%
MAR4051 27
0.5%
MAR4061 31
0.5%
MAR4071 32
0.5%
MAR4081 32
0.5%
TUR1011 32
0.5%
TUR1021 28
0.5%
TUR1022 27
0.5%
TUR1031 31
0.5%
TUR1041 32
0.5%
TUR1042 29
0.5%
TUR1051 32
0.5%
TUR1052 33
0.6%
TUR1061 55
0.9%
TUR1062 26
0.4%
TUR1071 31
0.5%
TUR1072 32
0.5%
TUR1081 32
0.5%
TUR2011 32
0.5%
TUR2012 32
0.5%
TUR2021 27
0.5%
TUR2022 30
0.5%
TUR2031 32
0.5%
TUR2041 32
0.5%
TUR2042 30
0.5%
TUR2051 32
0.5%
TUR2061 31
0.5%
TUR2071 35
0.6%
TUR3011 28
0.5%
TUR3012 14
0.2%
TUR3021 32
0.5%
TUR3031 30
0.5%
TUR3041 19
0.3%
TUR3042 26
0.4%
TUR3043 18
0.3%
TUR3051 26
0.4%
TUR4011 27
0.5%
TUR4021 25
0.4%
TUR4022 23
0.4%
TUR4023 22
0.4%
TUR4024 31
0.5%
TUR4031 21
0.4%
TUR4041 24
0.4%
TUR5011 30
0.5%
TUR5012 32
0.5%
TUR5021 30
0.5%
TUR6011 30
0.5%
TUR6012 27
0.5%
TUR6021 32
0.5%
TUR6022 31
0.5%
TUR6023 32
0.5%
TUR6024 32
0.5%
TUR6031 33
0.6%
TUR6041 30
0.5%
WAJ1011 32
0.5%
WAJ1021 32
0.5%
WAJ1031 32
0.5%
WAJ1041 32
0.5%
WAJ1051 29
0.5%
WAJ1061 38
0.6%
WAJ1071 32
0.5%
WAJ1081 32
0.5%
WAJ1082 32
0.5%
WAJ1091 32
0.5%
WAJ1101 32
0.5%
WAJ1111 32
0.5%
WAJ2011 32
0.5%
WAJ2012 32
0.5%
WAJ2021 30
0.5%
WAJ2031 32
0.5%
WAJ2041 30
0.5%
WAJ2051 32
0.5%
WAJ2061 32
0.5%
WAJ2071 32
0.5%
WAJ2081 32
0.5%
WAJ2091 32
0.5%
WAJ3011 32
0.5%
WAJ3021 32
0.5%
WAJ3031 30
0.5%
WAJ3041 32
0.5%
WAJ3042 32
0.5%
WAJ3043 32
0.5%
WAJ3051 32
0.5%
WAJ4011 30
0.5%
WAJ4021 28
0.5%
WAJ4031 32
0.5%
WAJ4041 32
0.5%
WAJ4051 64
1.1%
WAJ4061 32
0.5%
WAJ5011 31
0.5%
WAJ5012 53
0.9%
WAJ5021 32
0.5%
WAJ5031 32
0.5%
WAJ5041 32
0.5%
WAJ5051 32
0.5%
WAJ5061 28
0.5%
WAJ5071 32
0.5%
WAJ6011 64
1.1%
WAJ6021 32
0.5%
WAJ6031 20
0.3%
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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