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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2019-2020_SAS_V01_EN_M_V01_A_OCS / variable [F13]
agricultural-surveys

Season Agriculture Survey 2019-2020

Rwanda, 2019 - 2020
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Reference ID
RWA_2019-2020_SAS_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics of Rwanda
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 14, 2022
Last modified
Nov 15, 2022
Page views
13619
Downloads
149
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • rwa-sas-seasonA_Crop
    production
  • rwa-sas-SeasonA_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonA_PartIV_Agricultural
    practice
  • rwa-sas-SeasonA_PartV_Land
    Tenure
  • rwa-sas-seasonA-Screening
  • rwa-sas-seasonB_Crop
    production
  • rwa-sas-SeasonB_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonB_PartIV_Agricultural
    practice
  • rwa-sas-SeasonB_PartV_Land
    Tenure
  • rwa-sas-seasonB-Screening
  • rwa-sas-seasonC_Crop
    production
  • rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonC_PartIV_Agricultural
    practice
  • rwa-sas-SeasonC_PartV_Land
    Tenure
  • rwa-sas-seasonC-Screening

1.2 District (s1q2)

Data file: rwa-sas-SeasonC_PartIV_Agricultural practice

Overview

Valid: 1731
Invalid: 0
Type: Discrete
Decimal: 0
Width: 10
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 13
0.8%
12 Gasabo 38
2.2%
13 Kicukiro 0
0%
21 Nyanza 113
6.5%
22 Gisagara 122
7%
23 Nyaruguru 80
4.6%
24 Huye 57
3.3%
25 Nyamagabe 107
6.2%
26 Ruhango 65
3.8%
27 Muhanga 83
4.8%
28 Kamonyi 51
2.9%
31 Karongi 33
1.9%
32 Rutsiro 112
6.5%
33 Rubavu 33
1.9%
34 Nyabihu 105
6.1%
35 Ngororero 52
3%
36 Rusizi 29
1.7%
37 Nyamasheke 3
0.2%
41 Rulindo 31
1.8%
42 Gakenke 58
3.4%
43 Musanze 146
8.4%
44 Burera 122
7%
45 Gicumbi 72
4.2%
51 Rwamagana 25
1.4%
52 Nyagatare 17
1%
53 Gatsibo 55
3.2%
54 Kayonza 7
0.4%
55 Kirehe 17
1%
56 Ngoma 0
0%
57 Bugesera 85
4.9%
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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