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    Home / Central Data Catalog / RWA_2017_AGS_V01_M / variable [F14]
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Agricultural Household Survey 2017

Rwanda, 2017
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Reference ID
RWA_2017_AgS_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
13799
Downloads
170
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • S0_General
    Information.dta
  • S1_Household
    members
    characteristics.dta
  • S2_Land tenure
    and crops
    planted.dta
  • S3_Extension
    services and
    agricultural
    programmes.dta
  • S4_Funding
    during
    2016_2017.dta
  • S5_Agricultural
    Inputs.dta
  • S6_Agricultural
    Practices.dta
  • S7_1_Agricultural
    small tools.dta
  • S7_2_Agricultural
    durable
    tools.dta
  • S8_A_Production
    Use,storage and
    Expenses.dta
  • S8_B_Production
    Use,Storage and
    Expenses.dta
  • S9_Number of
    animals.dta
  • S10_1_Cattle
    milk
    production.dta
  • S10_2_Cattle
    milk production
    use.dta
  • S10_3_Honey
    production.dta
  • S11_Animal
    inputs and
    services.dta

0.2 District Name (s0q2)

Data file: S10_2_Cattle milk production use.dta

Overview

Valid: 3989
Invalid: -
Minimum: 11
Maximum: 57
Type: Discrete
Decimal: 0
Start: 12
End: 13
Width: 2
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 68
1.7%
12 Gasabo 138
3.5%
13 Kicukiro 64
1.6%
21 Nyanza 144
3.6%
22 Gisagara 75
1.9%
23 Nyaruguru 83
2.1%
24 Huye 176
4.4%
25 Nyamagabe 138
3.5%
26 Ruhango 120
3%
27 Muhanga 82
2.1%
28 Kamonyi 165
4.1%
31 Karongi 99
2.5%
32 Rutsiro 180
4.5%
33 Rubavu 152
3.8%
34 Nyabihu 188
4.7%
35 Ngororero 66
1.7%
36 Rusizi 93
2.3%
37 Nyamasheke 98
2.5%
41 Rulindo 72
1.8%
42 Gakenke 76
1.9%
43 Musanze 124
3.1%
44 Burera 94
2.4%
45 Gicumbi 285
7.1%
51 Rwamagana 158
4%
52 Nyagatare 235
5.9%
53 Gatsibo 240
6%
54 Kayonza 158
4%
55 Kirehe 131
3.3%
56 Ngoma 131
3.3%
57 Bugesera 156
3.9%
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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