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    Home / Central Data Catalog / RWA_2023_SAS_V01_M_V01_A_ESS / variable [F10]
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
22854
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-seasonB_Screening_Agroforestry

Overview

Valid: 26392
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 1413
5.4%
Burera 691
2.6%
Gakenke 856
3.2%
Gasabo 797
3%
Gatsibo 1367
5.2%
Gicumbi 795
3%
Gisagara 1040
3.9%
Huye 1060
4%
Kamonyi 875
3.3%
Karongi 718
2.7%
Kayonza 1161
4.4%
Kicukiro 372
1.4%
Kirehe 1240
4.7%
Muhanga 848
3.2%
Musanze 663
2.5%
Ngoma 1320
5%
Ngororero 832
3.2%
Nyabihu 587
2.2%
Nyagatare 1274
4.8%
Nyamagabe 720
2.7%
Nyamasheke 747
2.8%
Nyanza 936
3.5%
Nyarugenge 334
1.3%
Nyaruguru 581
2.2%
Rubavu 514
1.9%
Ruhango 907
3.4%
Rulindo 786
3%
Rusizi 786
3%
Rutsiro 633
2.4%
Rwamagana 1538
5.8%
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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