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    Home / Central Data Catalog / RWA_2023_SAS_V01_M_V01_A_ESS / variable [F13]
central

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
22654
Downloads
143
  • 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_Crop production

Overview

Valid: 3567
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 139
3.9%
Burera 204
5.7%
Gakenke 138
3.9%
Gasabo 80
2.2%
Gatsibo 76
2.1%
Gicumbi 137
3.8%
Gisagara 111
3.1%
Huye 181
5.1%
Kamonyi 168
4.7%
Karongi 66
1.9%
Kayonza 64
1.8%
Kicukiro 55
1.5%
Kirehe 102
2.9%
Muhanga 177
5%
Musanze 205
5.7%
Ngoma 87
2.4%
Ngororero 100
2.8%
Nyabihu 174
4.9%
Nyagatare 77
2.2%
Nyamagabe 106
3%
Nyamasheke 136
3.8%
Nyanza 148
4.1%
Nyarugenge 88
2.5%
Nyaruguru 139
3.9%
Rubavu 85
2.4%
Ruhango 102
2.9%
Rulindo 128
3.6%
Rusizi 139
3.9%
Rutsiro 72
2%
Rwamagana 82
2.3%
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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