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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 8 (s8bq9)

Data file: vup_s8b_expenditure.dta

Overview

Valid: 361473
Invalid: 147
Type: Discrete
Decimal: 0
Start: 158
End: 163
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 351472
97.2%
4 1
0%
5 2
0%
10 9
0%
15 1
0%
20 62
0%
30 26
0%
40 12
0%
50 743
0.2%
60 12
0%
70 11
0%
75 4
0%
80 7
0%
90 5
0%
100 2840
0.8%
105 1
0%
115 1
0%
120 31
0%
125 1
0%
130 11
0%
140 14
0%
150 339
0.1%
160 15
0%
170 25
0%
175 3
0%
180 35
0%
190 3
0%
200 1484
0.4%
210 1
0%
220 9
0%
225 6
0%
230 6
0%
240 11
0%
250 181
0.1%
260 14
0%
270 3
0%
275 2
0%
280 12
0%
300 763
0.2%
310 2
0%
320 11
0%
325 3
0%
330 4
0%
340 14
0%
350 225
0.1%
360 20
0%
370 8
0%
375 5
0%
380 12
0%
390 7
0%
400 575
0.2%
405 1
0%
410 1
0%
420 13
0%
430 2
0%
440 9
0%
450 105
0%
460 6
0%
470 2
0%
475 1
0%
480 8
0%
490 1
0%
500 429
0.1%
510 12
0%
520 6
0%
525 7
0%
530 1
0%
540 10
0%
550 24
0%
555 1
0%
560 8
0%
570 1
0%
580 3
0%
590 1
0%
600 345
0.1%
630 5
0%
640 3
0%
650 39
0%
660 9
0%
665 1
0%
670 2
0%
675 4
0%
680 3
0%
690 1
0%
700 217
0.1%
710 1
0%
720 11
0%
730 1
0%
740 2
0%
750 80
0%
760 1
0%
780 5
0%
800 179
0%
825 1
0%
840 12
0%
850 4
0%
860 1
0%
880 2
0%
890 1
0%
900 71
0%
910 1
0%
920 2
0%
950 4
0%
960 2
0%
980 1
0%
1000 191
0.1%
1020 1
0%
1040 4
0%
1050 20
0%
1080 3
0%
1100 16
0%
1120 1
0%
1140 1
0%
1150 4
0%
1160 1
0%
1180 1
0%
1200 74
0%
1250 4
0%
1260 3
0%
1300 14
0%
1320 1
0%
1350 4
0%
1390 1
0%
1400 40
0%
1440 4
0%
1446 1
0%
1450 2
0%
1500 75
0%
1560 3
0%
1600 20
0%
1625 1
0%
1650 1
0%
1680 1
0%
1700 5
0%
1750 1
0%
1800 21
0%
1850 3
0%
1880 1
0%
1900 2
0%
1920 1
0%
1950 3
0%
1970 1
0%
2000 64
0%
2040 2
0%
2100 9
0%
2110 1
0%
2120 1
0%
2160 1
0%
2200 4
0%
2250 3
0%
2300 2
0%
2370 1
0%
2400 10
0%
2440 1
0%
2500 13
0%
2550 1
0%
2560 1
0%
2600 4
0%
2700 8
0%
2800 7
0%
3000 27
0%
3100 1
0%
3200 4
0%
3400 1
0%
3500 6
0%
3600 4
0%
3750 1
0%
3800 3
0%
3900 1
0%
4000 9
0%
4200 1
0%
4440 1
0%
4500 2
0%
5000 4
0%
6000 2
0%
6200 1
0%
6300 1
0%
6500 1
0%
7000 2
0%
7200 1
0%
8000 1
0%
9000 3
0%
9500 1
0%
11700 1
0%
14800 1
0%
15000 1
0%
15200 1
0%
28000 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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