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    Home / Central Data Catalog / RWA_2017_AGS_V01_M / variable [F2]
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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
13752
Downloads
170
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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 (s0q2)

Data file: S1_Household members characteristics.dta

Overview

Valid: 73665
Invalid: -
Minimum: 11
Maximum: 57
Type: Discrete
Decimal: 0
Start: 13
End: 14
Width: 2
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 2300
3.1%
12 Gasabo 2904
3.9%
13 Kicukiro 1837
2.5%
21 Nyanza 1210
1.6%
22 Gisagara 2233
3%
23 Nyaruguru 1104
1.5%
24 Huye 2300
3.1%
25 Nyamagabe 1721
2.3%
26 Ruhango 1284
1.7%
27 Muhanga 1388
1.9%
28 Kamonyi 2372
3.2%
31 Karongi 1073
1.5%
32 Rutsiro 1986
2.7%
33 Rubavu 3914
5.3%
34 Nyabihu 2191
3%
35 Ngororero 1371
1.9%
36 Rusizi 3380
4.6%
37 Nyamasheke 2012
2.7%
41 Rulindo 1733
2.4%
42 Gakenke 1460
2%
43 Musanze 3111
4.2%
44 Burera 2148
2.9%
45 Gicumbi 2412
3.3%
51 Rwamagana 2629
3.6%
52 Nyagatare 5693
7.7%
53 Gatsibo 4306
5.8%
54 Kayonza 4139
5.6%
55 Kirehe 4254
5.8%
56 Ngoma 2463
3.3%
57 Bugesera 2737
3.7%
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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