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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F2]
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

Amount paid to private water vendor/neighbour in last 7 days (s5cq11)

Data file: vup_s0_s5_household.dta

Overview

Valid: 665
Invalid: 1795
Type: Discrete
Decimal: 0
Start: 147
End: 154
Width: 8
Range: 10 - 99999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 7
1.1%
15 2
0.3%
20 28
4.2%
25 2
0.3%
30 16
2.4%
40 39
5.9%
45 1
0.2%
50 28
4.2%
60 26
3.9%
70 20
3%
80 18
2.7%
85 1
0.2%
90 4
0.6%
100 73
11%
105 5
0.8%
110 3
0.5%
120 10
1.5%
130 1
0.2%
135 1
0.2%
140 41
6.2%
150 19
2.9%
160 3
0.5%
170 1
0.2%
180 10
1.5%
200 56
8.4%
210 26
3.9%
220 2
0.3%
230 2
0.3%
240 7
1.1%
250 2
0.3%
260 2
0.3%
280 14
2.1%
300 30
4.5%
315 3
0.5%
320 1
0.2%
350 16
2.4%
380 1
0.2%
400 27
4.1%
420 15
2.3%
450 3
0.5%
460 1
0.2%
500 21
3.2%
560 8
1.2%
600 8
1.2%
630 1
0.2%
640 1
0.2%
700 15
2.3%
720 1
0.2%
750 1
0.2%
800 3
0.5%
840 2
0.3%
1000 10
1.5%
1050 3
0.5%
1200 2
0.3%
1260 1
0.2%
1400 8
1.2%
1500 3
0.5%
1680 1
0.2%
1750 1
0.2%
2100 1
0.2%
2400 1
0.2%
2500 1
0.2%
2800 1
0.2%
3000 2
0.3%
3200 1
0.2%
3500 1
0.2%
99999999 Missing 0
0%
Sysmiss 1795
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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