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    Home / Central Data Catalog / RWA_2022_SAS_V01_M / variable [F25]
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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
21157
Downloads
179
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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-seasonB_Crop production

Overview

Valid: 95
Invalid: 0
Type: Discrete
Width: 60
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Arthichok 1
1.1%
Brachiaria Grass 6
6.3%
CHLORIS GAYANA 1
1.1%
Chiko 1
1.1%
Chloris Gayana 26
27.4%
Flowers 4
4.2%
French Basil 1
1.1%
Hibiscus 2
2.1%
Ibisusa 1
1.1%
Igikaranka 1
1.1%
Imizabibu 1
1.1%
Itete 1
1.1%
Ivubwe 3
3.2%
Kikuyu Grasses 6
6.3%
Kinowa 6
6.3%
Mbogagifu 1
1.1%
Moringa 6
6.3%
Mungbeans 1
1.1%
Okra(Gombo) 3
3.2%
Pennicum 10
10.5%
Pericile 1
1.1%
Quinquina 1
1.1%
Roselle 1
1.1%
Rosemary 1
1.1%
Saraza 1
1.1%
Sukuma Wiki 1
1.1%
Tangawizi 1
1.1%
Temeda 3
3.2%
Umucaca 1
1.1%
Umukenke 2
2.1%
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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