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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2019_RSAS_V01_EN_M_V01_A_OCS / variable [F11]
agricultural-surveys

Rwanda Seasonal Agriculture Survey 2019

Rwanda, 2018 - 2019
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Reference ID
RWA_2019_RSAS_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
Feb 04, 2021
Last modified
Feb 04, 2021
Page views
13920
Downloads
278
  • 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_Crop production

Overview

Valid: 1667
Invalid: 0
Type: Discrete
Decimal: 0
Width: 10
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 15
0.9%
12 Gasabo 25
1.5%
13 Kicukiro 0
0%
21 Nyanza 75
4.5%
22 Gisagara 154
9.2%
23 Nyaruguru 83
5%
24 Huye 70
4.2%
25 Nyamagabe 97
5.8%
26 Ruhango 50
3%
27 Muhanga 95
5.7%
28 Kamonyi 56
3.4%
31 Karongi 27
1.6%
32 Rutsiro 104
6.2%
33 Rubavu 30
1.8%
34 Nyabihu 82
4.9%
35 Ngororero 55
3.3%
36 Rusizi 33
2%
37 Nyamasheke 4
0.2%
41 Rulindo 32
1.9%
42 Gakenke 43
2.6%
43 Musanze 124
7.4%
44 Burera 104
6.2%
45 Gicumbi 62
3.7%
51 Rwamagana 30
1.8%
52 Nyagatare 15
0.9%
53 Gatsibo 59
3.5%
54 Kayonza 11
0.7%
55 Kirehe 22
1.3%
56 Ngoma 0
0%
57 Bugesera 110
6.6%
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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