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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 2 (s8a3q3)

Data file: vup_s8a3_expenditure.dta

Overview

Valid: 91020
Invalid: 0
Type: Discrete
Decimal: 0
Start: 120
End: 125
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 86593
95.1%
10 1
0%
20 488
0.5%
25 4
0%
30 39
0%
40 45
0%
50 342
0.4%
60 13
0%
70 2
0%
80 14
0%
90 2
0%
100 1683
1.8%
110 1
0%
120 11
0%
130 1
0%
150 145
0.2%
160 2
0%
170 2
0%
175 2
0%
180 5
0%
200 630
0.7%
220 2
0%
230 1
0%
240 2
0%
250 49
0.1%
260 3
0%
270 2
0%
280 1
0%
300 212
0.2%
340 2
0%
350 20
0%
360 3
0%
370 1
0%
375 3
0%
380 1
0%
400 123
0.1%
420 1
0%
430 1
0%
450 46
0.1%
480 6
0%
500 155
0.2%
530 1
0%
550 6
0%
580 1
0%
600 69
0.1%
650 2
0%
700 27
0%
750 4
0%
800 25
0%
850 3
0%
900 9
0%
950 2
0%
1000 62
0.1%
1050 1
0%
1100 5
0%
1200 17
0%
1300 4
0%
1400 4
0%
1500 13
0%
1550 1
0%
1600 6
0%
1700 5
0%
1750 1
0%
1800 3
0%
2000 22
0%
2100 2
0%
2300 1
0%
2350 1
0%
2400 8
0%
2500 5
0%
2600 1
0%
2700 1
0%
2800 1
0%
3000 8
0%
3100 1
0%
3200 2
0%
3300 3
0%
3400 1
0%
3500 3
0%
3600 1
0%
4000 4
0%
4100 1
0%
4500 2
0%
4700 1
0%
5000 5
0%
5400 1
0%
6000 2
0%
6400 1
0%
7000 4
0%
7500 1
0%
7700 1
0%
9800 1
0%
10000 2
0%
12500 1
0%
13000 1
0%
15000 1
0%
999999 Missing 0
0%
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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