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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F15]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
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Reference ID
RWA-NISR-DDI-EICV4-VUP-01
Producer(s)
National Institute of Statistics Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 28, 2016
Last modified
Jun 29, 2016
Page views
1031481
Downloads
126241
  • Study Description
  • Data Dictionary
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  • Data files
  • vup_partb_filter_questions_hh
  • vup_s0_s5_household.dta
  • vup_s1_s2_s3_s4_s6a_s6e_s6f_person
  • vup_s5e_access
    to services
  • vup_s7a1_livestock.dta
  • vup_s7a2_livestock
  • vup_s7a3_livestock
  • vup_s7a4_livestock.dta
  • vup_s7b1_land_agriculture
  • vup_s7b2_land_agriculture
  • vup_s7c_parcels.dta
  • vup_s7d_large_crop
  • vup_s7e_small_crop.dta
  • vup_s7f_income_agriculture.dta
  • vup_s7g_expenditure_agriculture.dta
  • vup_s7h_transformation_agriculture
  • vup_s8a1_expenditure
  • vup_s8a2_expenditure.dta
  • vup_s8a3_expenditure.dta
  • vup_s8b_expenditure.dta
  • vup_s8c_farming.dta
  • vup_s9a_transfers_out.dta
  • vup_s9b_transfers_in.dta
  • vup_s9c_vup
  • vup_s9c1_vup
  • vup_s10a1_credits.dta
  • vup_s10a2_credits.dta
  • vup_s10b_goods
  • vup_s10c_savings.dta

Expenditure codes (s7gqcode)

Data file: vup_s7g_expenditure_agriculture.dta

Overview

Valid: 39360
Invalid: 0
Type: Discrete
Decimal: 0
Start: 36
End: 37
Width: 2
Range: 1 - 16
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Hand tools 2460
6.3%
2 Traditional seeds and seedlings 2460
6.3%
3 Improved seeds and seedlings 2460
6.3%
4 Sacks and packing 2460
6.3%
5 Hired labor wages not terracing 2460
6.3%
6 Fencing material 2460
6.3%
7 Transport of the harvest 2460
6.3%
8 Storage of harvest 2460
6.3%
9 Equipment rental 2460
6.3%
10 Organic fertilizers 2460
6.3%
11 Chemical fertilizers 2460
6.3%
12 Insecticides 2460
6.3%
13 Irrigation, drainage fees 2460
6.3%
14 Terracing (wages) 2460
6.3%
15 Pole for beans 2460
6.3%
16 Other expenditures 2460
6.3%
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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