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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 7 (s8bq8)

Data file: vup_s8b_expenditure.dta

Overview

Valid: 361473
Invalid: 147
Type: Discrete
Decimal: 0
Start: 152
End: 157
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 351476
97.2%
2 1
0%
10 7
0%
20 54
0%
25 1
0%
30 21
0%
40 24
0%
50 810
0.2%
60 13
0%
70 11
0%
75 2
0%
80 16
0%
90 4
0%
100 2737
0.8%
110 2
0%
120 35
0%
125 4
0%
130 21
0%
140 11
0%
150 369
0.1%
160 12
0%
170 20
0%
175 8
0%
180 36
0%
200 1611
0.4%
210 2
0%
220 2
0%
225 8
0%
230 7
0%
240 9
0%
250 193
0.1%
260 9
0%
265 1
0%
270 5
0%
275 1
0%
280 8
0%
290 1
0%
300 730
0.2%
310 1
0%
320 15
0%
325 2
0%
330 6
0%
340 15
0%
350 203
0.1%
360 28
0%
370 4
0%
375 5
0%
380 11
0%
390 7
0%
400 561
0.2%
405 1
0%
420 9
0%
430 1
0%
440 6
0%
450 120
0%
460 3
0%
470 1
0%
480 20
0%
500 427
0.1%
510 6
0%
520 9
0%
525 7
0%
530 2
0%
540 10
0%
550 28
0%
560 6
0%
570 2
0%
580 2
0%
590 2
0%
600 380
0.1%
630 1
0%
640 4
0%
645 1
0%
650 36
0%
660 3
0%
670 1
0%
675 3
0%
680 6
0%
690 1
0%
700 210
0.1%
720 6
0%
730 1
0%
740 1
0%
750 68
0%
780 3
0%
800 157
0%
810 1
0%
815 1
0%
825 1
0%
830 2
0%
840 6
0%
850 9
0%
860 1
0%
880 1
0%
900 67
0%
920 4
0%
940 2
0%
950 7
0%
960 1
0%
980 1
0%
990 1
0%
1000 188
0.1%
1020 3
0%
1040 3
0%
1050 21
0%
1060 2
0%
1080 2
0%
1100 15
0%
1125 1
0%
1150 1
0%
1170 1
0%
1200 68
0%
1250 3
0%
1260 2
0%
1290 2
0%
1300 11
0%
1320 2
0%
1350 5
0%
1360 1
0%
1375 1
0%
1380 1
0%
1400 47
0%
1450 1
0%
1480 2
0%
1500 61
0%
1600 13
0%
1625 1
0%
1650 1
0%
1700 11
0%
1740 1
0%
1800 22
0%
1840 1
0%
1900 5
0%
2000 57
0%
2050 1
0%
2100 10
0%
2200 1
0%
2250 2
0%
2300 1
0%
2400 7
0%
2500 8
0%
2520 1
0%
2550 1
0%
2590 1
0%
2600 2
0%
2650 1
0%
2660 1
0%
2670 1
0%
2700 4
0%
2750 2
0%
2800 6
0%
3000 18
0%
3100 1
0%
3120 1
0%
3150 1
0%
3400 1
0%
3500 5
0%
3520 1
0%
3600 5
0%
3750 1
0%
3800 1
0%
3900 1
0%
4000 14
0%
4500 5
0%
4800 3
0%
5000 3
0%
5100 1
0%
5500 1
0%
5600 1
0%
5800 1
0%
6000 2
0%
6200 1
0%
6500 1
0%
6800 1
0%
7500 1
0%
8000 1
0%
8900 1
0%
9000 1
0%
10000 1
0%
11000 1
0%
12000 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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