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    Home / Central Data Catalog / RWA-NISR-RSAS-2017-V0.1 / variable [F59]
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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

3.14 Type of pesticide used (s3q14)

Data file: SeasonC_2017_SSF_Pesticides

Overview

Valid: 1900
Invalid: 4892
Type: Discrete
Decimal: 0
Start: 31
End: 32
Width: 2
Range: 1 - 10
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Dithane 449
23.6%
2 Ridomil 114
6%
3 Dimethoate 34
1.8%
4 Cypermethrin 360
18.9%
5 Dursiban 1
0.1%
6 Tilt 0
0%
7 Pilkare 0
0%
8 Rocket 183
9.6%
9 Other Pesticide 52
2.7%
10 Na 707
37.2%
Sysmiss 4892
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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