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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
12589
Downloads
119
  • 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

Crop Category (CropCategory)

Data file: rwa-sas-seasonA_Crop production

Overview

Valid: 41313
Invalid: 0
Type: Discrete
Decimal: 0
Width: 15
Range: 6 - 305
Format: Numeric

Questions and instructions

Categories
Value Category Cases
6 Fruits 328
0.8%
7 Vegetables 730
1.8%
8 Other crops 307
0.7%
9 Other cereals 238
0.6%
10 Taro & Yams 869
2.1%
11 Fodder crops 232
0.6%
101 Maize 8145
19.7%
102 Paddy rice 125
0.3%
103 Sorghum 683
1.7%
104 Wheat 107
0.3%
106 Bush bean 5942
14.4%
107 Climbing bean 3069
7.4%
108 Pea 587
1.4%
110 Irish potato 1772
4.3%
111 Sweet potato 2222
5.4%
122 Soybean 1111
2.7%
123 Groundnut 606
1.5%
301 Cooking banana 3180
7.7%
302 Dessert banana 2813
6.8%
303 Banana for beer 3501
8.5%
305 Cassava 4746
11.5%
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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