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    Home / Central Data Catalog / RWA_2017_AGS_V01_M / variable [F9]
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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
13636
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: S7_2_Agricultural durable tools.dta

Overview

Valid: 207049
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 7024
3.4%
12 Gasabo 7485
3.6%
13 Kicukiro 5192
2.5%
21 Nyanza 4907
2.4%
22 Gisagara 8011
3.9%
23 Nyaruguru 3980
1.9%
24 Huye 7556
3.6%
25 Nyamagabe 6891
3.3%
26 Ruhango 5413
2.6%
27 Muhanga 5285
2.6%
28 Kamonyi 2830
1.4%
31 Karongi 3158
1.5%
32 Rutsiro 6739
3.3%
33 Rubavu 12555
6.1%
34 Nyabihu 3496
1.7%
35 Ngororero 5152
2.5%
36 Rusizi 6879
3.3%
37 Nyamasheke 2045
1%
41 Rulindo 5117
2.5%
42 Gakenke 5458
2.6%
43 Musanze 9593
4.6%
44 Burera 8147
3.9%
45 Gicumbi 8281
4%
51 Rwamagana 7755
3.7%
52 Nyagatare 17739
8.6%
53 Gatsibo 14589
7%
54 Kayonza 1337
0.6%
55 Kirehe 11212
5.4%
56 Ngoma 7152
3.5%
57 Bugesera 6071
2.9%
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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