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    Home / Central Data Catalog / RWA_2020_SAS_V01_M / variable [F27]
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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
12386
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

CropGroup (CropGroup)

Data file: rwa-sas-seasonB-Screening_crops

Overview

Valid: 42210
Invalid: 6486
Type: Discrete
Decimal: 0
Width: 15
Range: 6 - 305
Format: Numeric

Questions and instructions

Categories
Value Category Cases
6 Fruits 382
0.9%
7 Vegetables 678
1.6%
8 Other crops 1275
3%
9 Other cereals 196
0.5%
10 Taro & Yams 1010
2.4%
11 Fodder crops 607
1.4%
101 Maize 3583
8.5%
102 Paddy rice 193
0.5%
103 Sorghum 2968
7%
104 Wheat 274
0.6%
106 Bush bean 4146
9.8%
107 Climbing bean 2484
5.9%
108 Pea 312
0.7%
110 Irish potato 1025
2.4%
111 Sweet potato 3118
7.4%
122 Soybean 1095
2.6%
123 Groundnut 652
1.5%
301 Cooking banana 4007
9.5%
302 Dessert banana 3656
8.7%
303 Banana for beer 4262
10.1%
305 Cassava 6287
14.9%
Sysmiss 6486
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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