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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
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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

Visit 4 (s8a3q5)

Data file: vup_s8a3_expenditure.dta

Overview

Valid: 90983
Invalid: 37
Type: Discrete
Decimal: 0
Start: 132
End: 137
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 87405
96.1%
10 1
0%
15 1
0%
20 342
0.4%
25 1
0%
30 22
0%
40 24
0%
50 286
0.3%
60 18
0%
70 3
0%
80 11
0%
100 1436
1.6%
110 1
0%
120 4
0%
140 3
0%
150 114
0.1%
160 1
0%
180 1
0%
200 513
0.6%
220 2
0%
225 1
0%
230 2
0%
250 30
0%
280 1
0%
300 178
0.2%
330 1
0%
350 12
0%
360 1
0%
390 1
0%
400 96
0.1%
420 1
0%
450 33
0%
500 130
0.1%
550 1
0%
600 44
0%
650 1
0%
700 22
0%
750 9
0%
800 27
0%
850 2
0%
900 11
0%
1000 43
0%
1050 2
0%
1070 1
0%
1100 5
0%
1200 21
0%
1300 2
0%
1400 2
0%
1500 21
0%
1600 4
0%
1650 1
0%
1700 3
0%
1800 2
0%
2000 11
0%
2100 3
0%
2250 1
0%
2400 7
0%
2500 8
0%
2600 2
0%
2800 1
0%
3000 12
0%
3050 1
0%
3100 1
0%
3200 1
0%
3300 1
0%
3400 3
0%
3500 2
0%
3600 2
0%
3700 2
0%
3800 1
0%
4000 4
0%
4200 1
0%
4500 3
0%
4800 1
0%
5000 5
0%
5300 1
0%
5400 1
0%
5800 1
0%
6000 3
0%
6650 1
0%
8000 1
0%
11400 1
0%
20000 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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