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    Home / Central Data Catalog / RWA_2017_AGS_V01_M / variable [F11]
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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
13299
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 (s0q2)

Data file: S8_B_Production Use,Storage and Expenses.dta

Overview

Valid: 34167
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 1129
3.3%
12 Gasabo 1158
3.4%
13 Kicukiro 758
2.2%
21 Nyanza 716
2.1%
22 Gisagara 1248
3.7%
23 Nyaruguru 641
1.9%
24 Huye 1217
3.6%
25 Nyamagabe 1050
3.1%
26 Ruhango 833
2.4%
27 Muhanga 793
2.3%
28 Kamonyi 1247
3.6%
31 Karongi 598
1.8%
32 Rutsiro 868
2.5%
33 Rubavu 1088
3.2%
34 Nyabihu 666
1.9%
35 Ngororero 706
2.1%
36 Rusizi 1322
3.9%
37 Nyamasheke 813
2.4%
41 Rulindo 882
2.6%
42 Gakenke 872
2.6%
43 Musanze 1125
3.3%
44 Burera 860
2.5%
45 Gicumbi 1245
3.6%
51 Rwamagana 1251
3.7%
52 Nyagatare 2553
7.5%
53 Gatsibo 2094
6.1%
54 Kayonza 1995
5.8%
55 Kirehe 1824
5.3%
56 Ngoma 1218
3.6%
57 Bugesera 1397
4.1%
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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