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    Home / Central Data Catalog / RWA-NISR-RSAS-2017-V0.1 / variable [F48]
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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
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • 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

2.6. Plot land use (s2q6)

Data file: SeasonB_2017_LSF_Screening

Overview

Valid: 2807
Invalid: 0
Type: Discrete
Decimal: 0
Start: 27
End: 29
Width: 3
Range: 96 - 100
Format: Numeric

Questions and instructions

Categories
Value Category Cases
96 Agricultural Land 1716
61.1%
97 Pasture 100
3.6%
98 Fallow 280
10%
99 Non-agricultural land 711
25.3%
100 Fruits only 0
0%
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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