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    Home / Central Data Catalog / RWA_2017_AGS_V01_M / variable [F10]
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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
13339
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_A_Production Use,storage and Expenses.dta

Overview

Valid: 35844
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 1184
3.3%
12 Gasabo 1254
3.5%
13 Kicukiro 793
2.2%
21 Nyanza 688
1.9%
22 Gisagara 1260
3.5%
23 Nyaruguru 642
1.8%
24 Huye 1194
3.3%
25 Nyamagabe 1061
3%
26 Ruhango 813
2.3%
27 Muhanga 843
2.4%
28 Kamonyi 1232
3.4%
31 Karongi 605
1.7%
32 Rutsiro 982
2.7%
33 Rubavu 1103
3.1%
34 Nyabihu 707
2%
35 Ngororero 802
2.2%
36 Rusizi 1481
4.1%
37 Nyamasheke 1007
2.8%
41 Rulindo 939
2.6%
42 Gakenke 952
2.7%
43 Musanze 1288
3.6%
44 Burera 894
2.5%
45 Gicumbi 1170
3.3%
51 Rwamagana 1342
3.7%
52 Nyagatare 2519
7%
53 Gatsibo 2141
6%
54 Kayonza 2086
5.8%
55 Kirehe 2161
6%
56 Ngoma 1390
3.9%
57 Bugesera 1311
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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