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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F19]
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
  • Downloads
  • Get Microdata
  • 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

Visit 8 (s8a3q9)

Data file: vup_s8a3_expenditure.dta

Overview

Valid: 90983
Invalid: 37
Type: Discrete
Decimal: 0
Start: 156
End: 161
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 87678
96.4%
10 5
0%
20 276
0.3%
25 2
0%
30 19
0%
40 32
0%
50 267
0.3%
60 13
0%
70 3
0%
80 8
0%
90 1
0%
100 1358
1.5%
120 7
0%
140 1
0%
150 91
0.1%
180 3
0%
190 1
0%
200 443
0.5%
225 1
0%
230 2
0%
240 1
0%
250 28
0%
260 2
0%
270 1
0%
280 1
0%
300 180
0.2%
350 8
0%
380 1
0%
390 2
0%
400 109
0.1%
440 1
0%
450 33
0%
500 122
0.1%
510 1
0%
520 2
0%
550 1
0%
560 1
0%
600 58
0.1%
650 2
0%
660 1
0%
700 20
0%
750 3
0%
800 26
0%
850 1
0%
900 5
0%
950 1
0%
1000 41
0%
1100 4
0%
1150 1
0%
1200 14
0%
1300 1
0%
1350 1
0%
1400 3
0%
1500 15
0%
1600 1
0%
1700 1
0%
1800 2
0%
1900 1
0%
2000 15
0%
2100 2
0%
2300 2
0%
2400 5
0%
2500 2
0%
2550 1
0%
2600 1
0%
2700 1
0%
2800 1
0%
2900 1
0%
3000 9
0%
3200 2
0%
3300 1
0%
3500 2
0%
3700 1
0%
3840 1
0%
4000 3
0%
4150 1
0%
4500 2
0%
4800 1
0%
5000 6
0%
5600 1
0%
5800 1
0%
6000 5
0%
6500 2
0%
7000 1
0%
7600 1
0%
8000 1
0%
10000 1
0%
10100 1
0%
16500 1
0%
17000 1
0%
999999 Missing 0
0%
Sysmiss 37
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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