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    Home / Central Data Catalog / RWA-NISR-RSAS-2017-V0.1 / variable [F57]
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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
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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

3.6 Inorganic fertilizer type (s3q6)

Data file: SeasonC_2017_SSF_Fertilizers

Overview

Valid: 1429
Invalid: 5363
Type: Discrete
Decimal: 0
Start: 48
End: 48
Width: 1
Range: 0 - 9
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 NA 625
43.7%
1 NPK 17-17-17 449
31.4%
2 NPK 20-10-10 0
0%
3 NPK 25-5-5 0
0%
4 Urea 171
12%
5 Lliquid urea 21
1.5%
6 DAP 132
9.2%
7 TSP 0
0%
8 KCL/MOP 0
0%
9 Other inorganic fertilizer(to specify) 31
2.2%
Sysmiss 5363
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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