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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2019_RSAS_V01_EN_M_V01_A_OCS / variable [F15]
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
13923
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 Name (s1q2)

Data file: rwa-sas-seasonC-Screening

Overview

Valid: 8311
Invalid: 0
Type: Discrete
Decimal: 0
Width: 10
Range: 11 - 57
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Nyarugenge 41
0.5%
12 Gasabo 118
1.4%
13 Kicukiro 0
0%
21 Nyanza 415
5%
22 Gisagara 513
6.2%
23 Nyaruguru 201
2.4%
24 Huye 300
3.6%
25 Nyamagabe 275
3.3%
26 Ruhango 199
2.4%
27 Muhanga 244
2.9%
28 Kamonyi 145
1.7%
31 Karongi 175
2.1%
32 Rutsiro 209
2.5%
33 Rubavu 549
6.6%
34 Nyabihu 773
9.3%
35 Ngororero 176
2.1%
36 Rusizi 254
3.1%
37 Nyamasheke 183
2.2%
41 Rulindo 183
2.2%
42 Gakenke 182
2.2%
43 Musanze 859
10.3%
44 Burera 887
10.7%
45 Gicumbi 141
1.7%
51 Rwamagana 105
1.3%
52 Nyagatare 238
2.9%
53 Gatsibo 335
4%
54 Kayonza 132
1.6%
55 Kirehe 129
1.6%
56 Ngoma 0
0%
57 Bugesera 350
4.2%
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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