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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 3 (s8a3q4)

Data file: vup_s8a3_expenditure.dta

Overview

Valid: 91020
Invalid: 0
Type: Discrete
Decimal: 0
Start: 126
End: 131
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 87350
96%
10 1
0%
15 1
0%
20 353
0.4%
25 1
0%
30 25
0%
35 1
0%
40 42
0%
50 304
0.3%
60 10
0%
70 1
0%
80 6
0%
90 2
0%
100 1448
1.6%
110 2
0%
120 8
0%
125 1
0%
130 4
0%
140 1
0%
150 105
0.1%
160 1
0%
170 1
0%
175 1
0%
180 3
0%
200 526
0.6%
220 1
0%
225 1
0%
230 1
0%
240 2
0%
250 35
0%
270 2
0%
280 3
0%
300 175
0.2%
320 1
0%
350 12
0%
360 2
0%
375 1
0%
380 1
0%
390 1
0%
400 98
0.1%
420 1
0%
450 35
0%
500 132
0.1%
550 7
0%
560 1
0%
600 55
0.1%
650 1
0%
700 10
0%
750 2
0%
800 28
0%
850 1
0%
900 11
0%
950 1
0%
1000 51
0.1%
1050 2
0%
1100 4
0%
1150 2
0%
1200 15
0%
1300 7
0%
1350 1
0%
1400 8
0%
1500 17
0%
1650 1
0%
1700 2
0%
1800 5
0%
1850 1
0%
2000 16
0%
2100 1
0%
2400 6
0%
2450 1
0%
2500 5
0%
2900 1
0%
3000 14
0%
3300 1
0%
3400 1
0%
3500 5
0%
3700 1
0%
4000 2
0%
4200 2
0%
4500 2
0%
4900 1
0%
4950 1
0%
5000 3
0%
5200 1
0%
5500 1
0%
5600 1
0%
6000 3
0%
6100 1
0%
6500 3
0%
7000 4
0%
8000 2
0%
9000 2
0%
10000 2
0%
11000 1
0%
20300 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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