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    Home / Central Data Catalog / RWA_2023_SAS_V01_M_V01_A_ESS / variable [F3]
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
22519
Downloads
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  • 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-SeasonA_PartIV_Agricultural practice

Overview

Valid: 16831
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 775
4.6%
Burera 578
3.4%
Gakenke 689
4.1%
Gasabo 412
2.4%
Gatsibo 832
4.9%
Gicumbi 667
4%
Gisagara 525
3.1%
Huye 527
3.1%
Kamonyi 608
3.6%
Karongi 491
2.9%
Kayonza 693
4.1%
Kicukiro 228
1.4%
Kirehe 773
4.6%
Muhanga 542
3.2%
Musanze 538
3.2%
Ngoma 769
4.6%
Ngororero 597
3.5%
Nyabihu 469
2.8%
Nyagatare 750
4.5%
Nyamagabe 513
3%
Nyamasheke 478
2.8%
Nyanza 566
3.4%
Nyarugenge 234
1.4%
Nyaruguru 379
2.3%
Rubavu 431
2.6%
Ruhango 542
3.2%
Rulindo 499
3%
Rusizi 536
3.2%
Rutsiro 424
2.5%
Rwamagana 765
4.5%
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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