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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2017_AHS_V01_EN_M_V01_A_OCS / variable [F13]
agricultural-surveys

Agricultural Household Survey 2017

Rwanda, 2017
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Reference ID
RWA_2017_AHS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 02, 2021
Last modified
Mar 02, 2021
Page views
28074
Downloads
212
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • S0_General
    Information
  • S1_Household
    members
    characteristics
  • S2_Land tenure
    crops planted
  • S3_Extension
    services and
    agricultural
    programmes
  • S4_Funding
    during
    2016_2017
  • S5_Agricultural
    Inputs
  • S6_Agricultural
    Practices
  • S7_1_Agricultural
    small tools
  • S7_2_Agricultural
    durable tools
  • S8_A_Production
    Use, storage
    and Expenses
  • S8_B_Production
    Use,Storage and
    Expenses
  • S9_Number of
    animals
  • S10_1_Cattle
    milk production
  • S10_2_Cattle
    milk production
    use
  • S10_3_Honey
    production
  • S11_Animal
    inputs and
    services

0.2 District (s0q2)

Data file: S10_1_Cattle milk production

Overview

Valid: 3237
Invalid: 0
Minimum: 11
Maximum: 57
Type: Continuous
Decimal: 0
Width: 8
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 75
2.3%
12 Gasabo 98
3%
13 Kicukiro 53
1.6%
21 Nyanza 87
2.7%
22 Gisagara 46
1.4%
23 Nyaruguru 49
1.5%
24 Huye 91
2.8%
25 Nyamagabe 79
2.4%
26 Ruhango 74
2.3%
27 Muhanga 72
2.2%
28 Kamonyi 104
3.2%
31 Karongi 49
1.5%
32 Rutsiro 268
8.3%
33 Rubavu 112
3.5%
34 Nyabihu 199
6.1%
35 Ngororero 111
3.4%
36 Rusizi 35
1.1%
37 Nyamasheke 56
1.7%
41 Rulindo 40
1.2%
42 Gakenke 42
1.3%
43 Musanze 54
1.7%
44 Burera 49
1.5%
45 Gicumbi 157
4.9%
51 Rwamagana 104
3.2%
52 Nyagatare 313
9.7%
53 Gatsibo 298
9.2%
54 Kayonza 185
5.7%
55 Kirehe 130
4%
56 Ngoma 77
2.4%
57 Bugesera 130
4%
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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