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    Home / Central Data Catalog / RWA_2023_SAS_V01_M_V01_A_ESS / variable [F15]
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
22479
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

V4 (V4)

Data file: rwa-sas-SeasonC_PartIV_Agricultural practice

Overview

Valid: 2984
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Bugesera 99
3.3%
Burera 190
6.4%
Gakenke 125
4.2%
Gasabo 76
2.5%
Gatsibo 64
2.1%
Gicumbi 115
3.9%
Gisagara 85
2.8%
Huye 154
5.2%
Kamonyi 154
5.2%
Karongi 46
1.5%
Kayonza 59
2%
Kicukiro 41
1.4%
Kirehe 81
2.7%
Muhanga 125
4.2%
Musanze 186
6.2%
Ngoma 66
2.2%
Ngororero 79
2.6%
Nyabihu 166
5.6%
Nyagatare 63
2.1%
Nyamagabe 98
3.3%
Nyamasheke 85
2.8%
Nyanza 137
4.6%
Nyarugenge 63
2.1%
Nyaruguru 132
4.4%
Rubavu 81
2.7%
Ruhango 84
2.8%
Rulindo 114
3.8%
Rusizi 98
3.3%
Rutsiro 62
2.1%
Rwamagana 55
1.8%
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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