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    Home / Central Data Catalog / RWA_2023_SAS_V01_M_V01_A_ESS / variable [F9]
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
22993
Downloads
143
  • Study Description
  • 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_PartIV_Agricultural practice

Overview

Valid: 16865
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 779
4.6%
Burera 551
3.3%
Gakenke 647
3.8%
Gasabo 418
2.5%
Gatsibo 841
5%
Gicumbi 678
4%
Gisagara 547
3.2%
Huye 539
3.2%
Kamonyi 647
3.8%
Karongi 465
2.8%
Kayonza 705
4.2%
Kicukiro 222
1.3%
Kirehe 791
4.7%
Muhanga 510
3%
Musanze 514
3%
Ngoma 771
4.6%
Ngororero 538
3.2%
Nyabihu 423
2.5%
Nyagatare 753
4.5%
Nyamagabe 531
3.1%
Nyamasheke 480
2.8%
Nyanza 629
3.7%
Nyarugenge 236
1.4%
Nyaruguru 400
2.4%
Rubavu 445
2.6%
Ruhango 610
3.6%
Rulindo 492
2.9%
Rusizi 538
3.2%
Rutsiro 380
2.3%
Rwamagana 784
4.6%
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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