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    Home / Central Data Catalog / RWA-NISR-SAS-2023-V0.1 / variable [F7]
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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-seasonB_Crop production

Overview

Valid: 36547
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 1908
5.2%
Burera 971
2.7%
Gakenke 1382
3.8%
Gasabo 863
2.4%
Gatsibo 2155
5.9%
Gicumbi 1377
3.8%
Gisagara 1289
3.5%
Huye 1375
3.8%
Kamonyi 1638
4.5%
Karongi 850
2.3%
Kayonza 1723
4.7%
Kicukiro 607
1.7%
Kirehe 1602
4.4%
Muhanga 1220
3.3%
Musanze 874
2.4%
Ngoma 1577
4.3%
Ngororero 1224
3.3%
Nyabihu 711
1.9%
Nyagatare 1602
4.4%
Nyamagabe 918
2.5%
Nyamasheke 1028
2.8%
Nyanza 1462
4%
Nyarugenge 591
1.6%
Nyaruguru 768
2.1%
Rubavu 749
2%
Ruhango 1198
3.3%
Rulindo 1045
2.9%
Rusizi 1266
3.5%
Rutsiro 649
1.8%
Rwamagana 1924
5.3%
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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