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    Home / Central Data Catalog / RWA-NISR-SAS-2020-V0.1 / variable [F28]
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Rwanda Season Agriculture Survey 2020

Rwanda, 2019 - 2020
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Reference ID
RWA-NISR-SAS-2020-v0.1
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 10, 2022
Last modified
Feb 10, 2022
Page views
342151
Downloads
5459
  • Study Description
  • Data Dictionary
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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

2.22.3 Explanation on crop production status (s2q22_3)

Data file: rwa-sas-seasonC_Crop production

Overview

Valid: 383
Invalid: 3900
Type: Discrete
Decimal: 0
Width: 34
Range: 1 - 16
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Drought 0
0%
2 Heavy rainfall/Hailstones 0
0%
3 Insufficient rainfall 0
0%
4 insuffiicient/Lack of fertilizers 5
1.3%
5 Late sowing 11
2.9%
6 Flood 2
0.5%
7 Landslide 0
0%
8 Crop destroyed by animals (grazes) 2
0.5%
9 Diseases and pests 126
32.9%
10 Unfertile soil 36
9.4%
11 Inappropriate seeds 68
17.8%
12 Good harvest as it was expected 0
0%
13 lack of improved seed 84
21.9%
14 Strong winds 0
0%
15 Perennial crops not yet mature 0
0%
16 Other reason (Specify) 49
12.8%
Sysmiss 3900
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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