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    Home / Central Data Catalog / RWA_2017_AGS_V01_M / variable [F8]
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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
13832
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_1_Agricultural small tools.dta

Overview

Valid: 362203
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 11981
3.3%
12 Gasabo 12727
3.5%
13 Kicukiro 8671
2.4%
21 Nyanza 7699
2.1%
22 Gisagara 13130
3.6%
23 Nyaruguru 6333
1.7%
24 Huye 12973
3.6%
25 Nyamagabe 10989
3%
26 Ruhango 8541
2.4%
27 Muhanga 8249
2.3%
28 Kamonyi 6123
1.7%
31 Karongi 5637
1.6%
32 Rutsiro 10867
3%
33 Rubavu 19580
5.4%
34 Nyabihu 8505
2.3%
35 Ngororero 7983
2.2%
36 Rusizi 12219
3.4%
37 Nyamasheke 4903
1.4%
41 Rulindo 8573
2.4%
42 Gakenke 8738
2.4%
43 Musanze 15422
4.3%
44 Burera 12711
3.5%
45 Gicumbi 13478
3.7%
51 Rwamagana 13277
3.7%
52 Nyagatare 29915
8.3%
53 Gatsibo 23386
6.5%
54 Kayonza 8135
2.2%
55 Kirehe 23032
6.4%
56 Ngoma 14117
3.9%
57 Bugesera 14309
4%
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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