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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F20]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
Get Microdata
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 4 (s8bq5)

Data file: vup_s8b_expenditure.dta

Overview

Valid: 361473
Invalid: 147
Type: Discrete
Decimal: 0
Start: 134
End: 139
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 350388
96.9%
5 1
0%
9 1
0%
10 16
0%
15 2
0%
20 86
0%
25 1
0%
30 24
0%
40 24
0%
50 979
0.3%
60 20
0%
70 12
0%
75 3
0%
80 9
0%
90 9
0%
100 3003
0.8%
110 2
0%
120 46
0%
125 6
0%
130 19
0%
135 1
0%
140 12
0%
150 410
0.1%
160 19
0%
170 27
0%
175 7
0%
180 32
0%
190 3
0%
200 1719
0.5%
210 2
0%
220 10
0%
225 5
0%
230 9
0%
240 13
0%
250 192
0.1%
260 15
0%
270 8
0%
275 3
0%
280 13
0%
300 821
0.2%
320 22
0%
330 3
0%
340 15
0%
350 232
0.1%
360 15
0%
370 3
0%
375 6
0%
380 18
0%
390 6
0%
400 641
0.2%
410 2
0%
420 10
0%
440 2
0%
450 128
0%
460 1
0%
470 1
0%
480 14
0%
500 400
0.1%
510 11
0%
520 12
0%
525 4
0%
540 11
0%
550 35
0%
560 3
0%
570 10
0%
580 3
0%
600 450
0.1%
620 1
0%
630 3
0%
640 5
0%
650 21
0%
660 6
0%
670 1
0%
675 4
0%
680 8
0%
690 5
0%
700 218
0.1%
710 1
0%
720 4
0%
740 2
0%
750 87
0%
760 7
0%
770 1
0%
780 2
0%
790 2
0%
800 184
0.1%
820 1
0%
825 2
0%
840 3
0%
850 6
0%
860 2
0%
870 2
0%
875 3
0%
880 4
0%
890 1
0%
900 85
0%
910 1
0%
920 2
0%
940 1
0%
950 8
0%
960 5
0%
970 2
0%
990 2
0%
1000 177
0%
1010 1
0%
1040 1
0%
1050 24
0%
1060 2
0%
1080 1
0%
1100 23
0%
1120 5
0%
1130 1
0%
1150 1
0%
1160 1
0%
1190 1
0%
1200 102
0%
1225 1
0%
1250 8
0%
1260 1
0%
1280 3
0%
1300 14
0%
1320 1
0%
1350 10
0%
1360 2
0%
1380 1
0%
1400 36
0%
1440 2
0%
1445 1
0%
1485 1
0%
1500 64
0%
1520 1
0%
1550 1
0%
1580 1
0%
1600 31
0%
1640 1
0%
1660 1
0%
1680 1
0%
1700 8
0%
1710 1
0%
1720 2
0%
1750 2
0%
1800 29
0%
1820 1
0%
1850 1
0%
1875 1
0%
1900 4
0%
1950 2
0%
2000 40
0%
2040 1
0%
2100 17
0%
2200 4
0%
2250 1
0%
2280 1
0%
2300 2
0%
2310 1
0%
2360 1
0%
2370 1
0%
2400 13
0%
2500 9
0%
2550 1
0%
2700 3
0%
2800 6
0%
2850 1
0%
2900 1
0%
3000 20
0%
3100 1
0%
3200 5
0%
3250 1
0%
3300 3
0%
3500 8
0%
3600 1
0%
3700 1
0%
3750 1
0%
4000 9
0%
4200 2
0%
4500 2
0%
4700 1
0%
4800 1
0%
4890 1
0%
5000 2
0%
5300 1
0%
5400 1
0%
5500 1
0%
5600 1
0%
6000 3
0%
6250 1
0%
6500 1
0%
7000 2
0%
7100 1
0%
8500 1
0%
9500 1
0%
10500 1
0%
16000 1
0%
999999 Missing 0
0%
Sysmiss 147
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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