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    Home / Central Data Catalog / RWA-NISR-SAS-2023-V0.1 / variable [F5]
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Rwanda Season Agriculture Survey 2023

Rwanda
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Reference ID
RWA-NISR-SAS-2023-v0.1
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 28, 2024
Last modified
Jun 22, 2026
Page views
791544
Downloads
10117
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  • Data Dictionary
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  • Data files
  • rwa-sas-seasonA_Crop
    production
  • rwa-sas-SeasonA_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonA_PartIV_Agricultural
    practice
  • rwa-sas-seasonA_Screening_Agroforestry
  • rwa-sas-seasonA_Screening_Antierosion_land
    consolidation
  • rwa-sas-seasonA-Screening_crops
  • rwa-sas-seasonB_Crop
    production
  • rwa-sas-SeasonB_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonB_PartIV_Agricultural
    practice
  • rwa-sas-seasonB_Screening_Agroforestry
  • rwa-sas-seasonB_Screening_Antierosion_land
    consolidation
  • rwa-sas-seasonB-Screening_crops
  • rwa-sas-seasonC_Crop
    production
  • rwa-sas-SeasonC_PartIII_Fertilizers_Pesticides
  • rwa-sas-SeasonC_PartIV_Agricultural
    practice
  • rwa-sas-seasonC_Screening_Agroforestry
  • rwa-sas-seasonC_Screening_Antierosion_land
    consolidation
  • rwa-sas-seasonC-Screening_crops

V3 (V3)

Data file: rwa-sas-seasonA_Screening_Antierosion_land consolidation

Overview

Valid: 34766
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 1707
4.9%
Burera 901
2.6%
Gakenke 1214
3.5%
Gasabo 928
2.7%
Gatsibo 1736
5%
Gicumbi 1297
3.7%
Gisagara 1513
4.4%
Huye 1368
3.9%
Kamonyi 1268
3.6%
Karongi 1050
3%
Kayonza 1341
3.9%
Kicukiro 432
1.2%
Kirehe 1387
4%
Muhanga 1374
4%
Musanze 886
2.5%
Ngoma 1396
4%
Ngororero 1084
3.1%
Nyabihu 868
2.5%
Nyagatare 1403
4%
Nyamagabe 1121
3.2%
Nyamasheke 1124
3.2%
Nyanza 1254
3.6%
Nyarugenge 417
1.2%
Nyaruguru 905
2.6%
Rubavu 688
2%
Ruhango 1330
3.8%
Rulindo 1309
3.8%
Rusizi 868
2.5%
Rutsiro 875
2.5%
Rwamagana 1721
5%
s1q2 1
0%
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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