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    Home / Central Data Catalog / RWA_2023_SAS_V01_M_V01_A_ESS / variable [F18]
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Season Agriculture Survey 2023

Rwanda, 2022 - 2023
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Reference ID
RWA_2023_SAS_v01_M_v01_A_ESS
Producer(s)
National Institute of Statistics of Rwanda
Metadata
DDI/XML JSON
Study website
Created on
Oct 30, 2024
Last modified
Oct 30, 2024
Page views
22855
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
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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-seasonC-Screening_crops

Overview

Valid: 10306
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 466
4.5%
Burera 848
8.2%
Gakenke 318
3.1%
Gasabo 189
1.8%
Gatsibo 240
2.3%
Gicumbi 239
2.3%
Gisagara 428
4.2%
Huye 520
5%
Kamonyi 321
3.1%
Karongi 160
1.6%
Kayonza 182
1.8%
Kicukiro 105
1%
Kirehe 389
3.8%
Muhanga 370
3.6%
Musanze 870
8.4%
Ngoma 94
0.9%
Ngororero 135
1.3%
Nyabihu 762
7.4%
Nyagatare 217
2.1%
Nyamagabe 340
3.3%
Nyamasheke 294
2.9%
Nyanza 402
3.9%
Nyarugenge 154
1.5%
Nyaruguru 320
3.1%
Rubavu 680
6.6%
Ruhango 274
2.7%
Rulindo 246
2.4%
Rusizi 266
2.6%
Rutsiro 107
1%
Rwamagana 369
3.6%
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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