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    Home / Central Data Catalog / RWA_2022_SAS_V01_M / variable [F24]
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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
21220
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

3.1 Crop name (CropCategory)

Data file: rwa-sas-seasonA-Screening_crops

Overview

Valid: 46787
Invalid: 5700
Type: Discrete
Decimal: 0
Width: 34
Range: 1 - 21
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Maize 7755
16.6%
2 Sorghum 726
1.6%
3 Paddy rice 151
0.3%
4 Wheat 85
0.2%
5 Other cereals 340
0.7%
6 Sweet potato 2268
4.8%
7 Irish potato 1961
4.2%
8 Taro & Yams 1006
2.2%
9 Cassava 6104
13%
10 Bush bean 6107
13.1%
11 Climbing bean 3234
6.9%
12 Pea 624
1.3%
13 Groundnut 629
1.3%
14 Soybean 1072
2.3%
15 Cooking banana 3736
8%
16 Dessert banana 3649
7.8%
17 Banana for beer 4101
8.8%
18 Vegetables 844
1.8%
19 Fruits 490
1%
20 Fodder crops 650
1.4%
21 Other crops 1255
2.7%
Sysmiss 5700
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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