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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 5 (s8bq6)

Data file: vup_s8b_expenditure.dta

Overview

Valid: 361473
Invalid: 147
Type: Discrete
Decimal: 0
Start: 140
End: 145
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 350715
97%
10 8
0%
20 81
0%
30 33
0%
40 20
0%
50 891
0.2%
60 21
0%
70 16
0%
75 8
0%
80 13
0%
90 3
0%
100 2905
0.8%
120 37
0%
125 14
0%
130 14
0%
140 16
0%
150 403
0.1%
160 20
0%
165 1
0%
170 22
0%
175 3
0%
180 32
0%
200 1602
0.4%
210 7
0%
215 1
0%
220 7
0%
225 6
0%
230 3
0%
240 9
0%
250 204
0.1%
255 1
0%
260 9
0%
270 4
0%
280 7
0%
300 836
0.2%
310 1
0%
320 17
0%
325 2
0%
330 7
0%
340 15
0%
350 215
0.1%
360 20
0%
370 4
0%
375 12
0%
380 11
0%
390 5
0%
400 625
0.2%
405 1
0%
410 2
0%
420 9
0%
430 1
0%
435 1
0%
440 9
0%
450 119
0%
460 4
0%
470 1
0%
475 1
0%
480 10
0%
500 436
0.1%
510 5
0%
520 3
0%
525 2
0%
530 3
0%
540 15
0%
550 27
0%
560 5
0%
570 4
0%
580 2
0%
585 1
0%
600 428
0.1%
620 2
0%
630 3
0%
640 9
0%
650 47
0%
660 5
0%
670 3
0%
675 3
0%
680 6
0%
690 1
0%
700 264
0.1%
710 1
0%
720 13
0%
730 1
0%
735 1
0%
750 70
0%
760 3
0%
770 1
0%
775 1
0%
780 3
0%
800 169
0%
810 2
0%
820 1
0%
825 2
0%
840 6
0%
850 6
0%
855 1
0%
860 3
0%
880 4
0%
900 84
0%
940 1
0%
950 4
0%
960 3
0%
975 1
0%
980 1
0%
1000 183
0.1%
1020 2
0%
1040 3
0%
1050 17
0%
1060 3
0%
1080 4
0%
1090 1
0%
1100 19
0%
1110 1
0%
1120 2
0%
1140 1
0%
1150 2
0%
1190 1
0%
1200 87
0%
1230 1
0%
1240 1
0%
1250 6
0%
1270 1
0%
1280 2
0%
1300 19
0%
1320 3
0%
1350 7
0%
1360 3
0%
1380 1
0%
1400 38
0%
1420 1
0%
1440 1
0%
1450 1
0%
1480 1
0%
1500 71
0%
1520 2
0%
1540 2
0%
1560 1
0%
1600 25
0%
1650 1
0%
1700 5
0%
1750 6
0%
1760 1
0%
1800 17
0%
1840 1
0%
1860 1
0%
1880 1
0%
1900 2
0%
1950 1
0%
2000 58
0%
2100 8
0%
2200 5
0%
2250 3
0%
2280 1
0%
2300 1
0%
2400 12
0%
2500 13
0%
2600 1
0%
2620 1
0%
2700 4
0%
2800 6
0%
2900 1
0%
3000 28
0%
3096 1
0%
3100 2
0%
3150 1
0%
3200 3
0%
3300 1
0%
3400 2
0%
3450 1
0%
3500 6
0%
3600 2
0%
3700 2
0%
3750 2
0%
3800 1
0%
3900 1
0%
4000 8
0%
4200 3
0%
4400 2
0%
4500 1
0%
4550 1
0%
4800 2
0%
5000 5
0%
5500 3
0%
5800 1
0%
6000 2
0%
6100 1
0%
6400 1
0%
6500 1
0%
7000 1
0%
8000 1
0%
8500 1
0%
10000 1
0%
15000 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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