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    Home / Central Data Catalog / RWA_2017_AGS_V01_M / variable [F12]
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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
13607
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: S9_Number of animals.dta

Overview

Valid: 28199
Invalid: 4412
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 508
1.8%
12 Gasabo 561
2%
13 Kicukiro 363
1.3%
21 Nyanza 3062
10.9%
22 Gisagara 806
2.9%
23 Nyaruguru 470
1.7%
24 Huye 814
2.9%
25 Nyamagabe 826
2.9%
26 Ruhango 3592
12.7%
27 Muhanga 1337
4.7%
28 Kamonyi 775
2.7%
31 Karongi 414
1.5%
32 Rutsiro 631
2.2%
33 Rubavu 706
2.5%
34 Nyabihu 514
1.8%
35 Ngororero 594
2.1%
36 Rusizi 792
2.8%
37 Nyamasheke 639
2.3%
41 Rulindo 615
2.2%
42 Gakenke 759
2.7%
43 Musanze 676
2.4%
44 Burera 655
2.3%
45 Gicumbi 866
3.1%
51 Rwamagana 773
2.7%
52 Nyagatare 1240
4.4%
53 Gatsibo 1220
4.3%
54 Kayonza 1050
3.7%
55 Kirehe 1295
4.6%
56 Ngoma 872
3.1%
57 Bugesera 774
2.7%
Sysmiss 4412
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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