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    Home / Central Data Catalog / RWA-NISR-RSAS-2017-V0.1 / variable [F54]
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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 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

2.16 What is expected period of harvesting for this crop ? (s2q16)

Data file: SeasonB_2017_SSF_Screening

Overview

Valid: 50671
Invalid: 9314
Type: Discrete
Decimal: 0
Start: 71
End: 71
Width: 1
Range: 1 - 7
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Before 01/05 2160
4.3%
2 Between 01-31/05 8494
16.8%
3 Between 01-15/06 6008
11.9%
4 Between 16-30/06 6812
13.4%
5 Between 01-31/07 12858
25.4%
6 After July (seasonal crops ) 4603
9.1%
7 Na 9736
19.2%
Sysmiss 9314
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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