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    Home / Central Data Catalog / RWA_2020_SAS_V01_M / variable [F16]
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Season Agriculture Survey 2020

Rwanda, 2019 - 2020
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Reference ID
RWA_2020_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
12990
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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

2.4 Crop name (s2q4_o)

Data file: rwa-sas-seasonA_Crop production

Overview

Valid: 98
Invalid: 0
Type: Discrete
Width: 26
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Alfa Alfa 1
1%
Amadegede Basarura Ibibabi 2
2%
Artichokes 2
2%
Cassava leaves 1
1%
Chia 2
2%
Cloris Gayana 20
20.4%
Flower 3
3.1%
Forage Millet 1
1%
Gherkin 1
1%
Gooseberry 1
1%
Igikaranka 1
1%
Ikiyote 2
2%
Imigwegwe 1
1%
Imikunde 1
1%
Karela 1
1%
Kayote 1
1%
Kurujeti 1
1%
Lucerne 1
1%
Mobydick Flowers 1
1%
Moringa 8
8.2%
Okra 1
1%
Okra(Gombo) 1
1%
Panicum 6
6.1%
Perisil 2
2%
Persile 1
1%
Quinquina 1
1%
Romari 1
1%
Rubalb 1
1%
Saraza 1
1%
Tangawizi 1
1%
Temeda 5
5.1%
Tobacco 9
9.2%
Umucaca 10
10.2%
Umudarasini 1
1%
Umukenke 5
5.1%
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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