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    Home / Central Data Catalog / RWA_2022_SAS_V01_M / variable [F19]
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Season Agriculture Survey 2022

Rwanda, 2022
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Reference ID
RWA_2022_SAS_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Aug 02, 2023
Last modified
Aug 02, 2023
Page views
21117
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  • 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

1.17 Other Relationship of respondent to the farmer (s1q17_o)

Data file: rwa-sas-seasonA_Crop production

Overview

Valid: 199
Invalid: 0
Type: Discrete
Width: 60
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AGRONOME 127
63.8%
AGRONOME WA RISCO 2
1%
AGRONOMIST 10
5%
AGRONOMISTE 1
0.5%
CONTABLE 1
0.5%
NIWE UHINGA TUGABANE 3
1.5%
NIWE UMUHINGISHIRIZA 2
1%
NYIRI UMURIMA BAHINGA TUGABANE 3
1.5%
PEREZIDA WA KOPERATIVE 4
2%
PRESIDENT 1
0.5%
PRESIDENTE 1
0.5%
STAFF PRODUCTION 13
6.5%
STORE KEEPER 2
1%
STOREKEEPER 1
0.5%
UMUCUMBIKIYE 1
0.5%
UMUFATANYABIKORWA 1
0.5%
UMUHINGISHIRIZA 2
1%
UMUKOZI 4
2%
UMUKOZI UMUHINGIRA 3
1.5%
USHINZWE UBUHINZI 11
5.5%
UWINGA TUGABANE 3
1.5%
UWO BAFATANYA GUHINGA 2
1%
VICE-PRESIDENT 1
0.5%
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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