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    Home / Central Data Catalog / RWA-NISR-RSAS-2017-V0.1 / variable [F49]
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Rwanda Seasonal Agriculture Survey 2017

Rwanda, 2016 - 2017
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Reference ID
RWA-NISR-RSAS-2017-V0.1
Producer(s)
National Institute of Statistics of Rwanda
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 14, 2019
Last modified
Feb 14, 2019
Page views
496551
Downloads
6496
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  • Data files
  • SeasonA_2017_LSF_Antierosion
  • SeasonA_2017_LSF_Crop
    production
  • SeasonA_2017_LSF_Fertilizers
  • SeasonA_2017_LSF_Irrigation_Soil_preparation_and_Land_tenure
  • SeasonA_2017_LSF_Pesticides
  • SeasonA_2017_LSF_Screening
  • SeasonA_2017_SSF_Antierosion
  • SeasonA_2017_SSF_Crop
    production
  • SeasonA_2017_SSF_Fertilizers
  • SeasonA_2017_SSF_Irrigation_Soil_preparation_and_Land_tenure
  • SeasonA_2017_SSF_Pesticides
  • SeasonA_2017_SSF_Screening
  • SeasonB_2017_LSF_Antierosion
  • SeasonB_2017_LSF_Crop
    production
  • SeasonB_2017_LSF_Fertilizers
  • SeasonB_2017_LSF_Irrigation_Soil_preparation_and_Land_tenure
  • SeasonB_2017_LSF_Pesticides
  • SeasonB_2017_LSF_Screening
  • SeasonB_2017_SSF_Antierosion
  • SeasonB_2017_SSF_Crop
    production
  • SeasonB_2017_SSF_Fertilizers
  • SeasonB_2017_SSF_Irrigation_Soil_preparation_and_Land_tenure
  • SeasonB_2017_SSF_Pesticides
  • SeasonB_2017_SSF_Screening
  • SeasonC_2017_SSF_Antierosion
  • SeasonC_2017_SSF_Crop
    production
  • SeasonC_2017_SSF_Fertilizers
  • SeasonC_2017_SSF_Irrigation_Soil_preparation_and_Land_tenure
  • SeasonC_2017_SSF_Pesticides
  • SeasonC_2017_SSF_Screening

Types of anti erosion activities existing in the plot (s4q3)

Data file: SeasonB_2017_SSF_Antierosion

Overview

Valid: 9486
Invalid: 4341
Type: Discrete
Decimal: 0
Start: 27
End: 27
Width: 1
Range: 0 - 9
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 NA 0
0%
1 Ditches 1039
11%
2 Trees/Wind break/Shelterbelt 214
2.3%
3 Bench terraces 369
3.9%
4 Progressive terraces 885
9.3%
5 Cover plants/grasses 4865
51.3%
6 Water drainage 747
7.9%
7 Mulching 387
4.1%
8 Beds/ridges 906
9.6%
9 Other(specify) 74
0.8%
Sysmiss 4341
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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