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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 6 (s8bq7)

Data file: vup_s8b_expenditure.dta

Overview

Valid: 361473
Invalid: 147
Type: Discrete
Decimal: 0
Start: 146
End: 151
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 351040
97.1%
3 1
0%
5 1
0%
10 12
0%
15 1
0%
20 77
0%
25 2
0%
30 32
0%
40 16
0%
50 840
0.2%
60 8
0%
65 1
0%
70 9
0%
75 7
0%
80 14
0%
90 4
0%
100 2914
0.8%
110 1
0%
115 1
0%
120 37
0%
125 4
0%
130 11
0%
140 17
0%
150 395
0.1%
160 16
0%
170 22
0%
175 4
0%
180 35
0%
190 3
0%
200 1563
0.4%
210 4
0%
220 6
0%
225 3
0%
230 7
0%
240 10
0%
250 189
0.1%
260 15
0%
270 8
0%
275 2
0%
280 12
0%
285 1
0%
290 1
0%
300 768
0.2%
320 15
0%
325 2
0%
330 5
0%
340 17
0%
350 206
0.1%
360 22
0%
370 3
0%
380 14
0%
390 6
0%
400 619
0.2%
405 1
0%
420 7
0%
430 2
0%
440 5
0%
450 114
0%
460 4
0%
470 5
0%
480 15
0%
490 1
0%
500 413
0.1%
510 4
0%
520 5
0%
525 2
0%
530 5
0%
540 13
0%
550 38
0%
560 7
0%
570 3
0%
580 2
0%
600 409
0.1%
630 3
0%
640 1
0%
650 41
0%
660 2
0%
670 2
0%
675 2
0%
680 3
0%
690 2
0%
700 237
0.1%
720 15
0%
740 4
0%
750 76
0%
760 4
0%
775 1
0%
800 176
0%
810 2
0%
820 1
0%
840 2
0%
850 9
0%
880 2
0%
900 83
0%
910 1
0%
920 2
0%
925 1
0%
950 9
0%
960 1
0%
975 1
0%
1000 176
0%
1015 1
0%
1020 3
0%
1040 2
0%
1050 15
0%
1080 1
0%
1100 17
0%
1110 1
0%
1150 2
0%
1190 1
0%
1200 83
0%
1240 1
0%
1250 6
0%
1260 2
0%
1280 1
0%
1300 18
0%
1330 1
0%
1350 5
0%
1360 1
0%
1370 1
0%
1400 47
0%
1410 2
0%
1440 1
0%
1500 56
0%
1540 1
0%
1550 1
0%
1560 1
0%
1600 15
0%
1625 1
0%
1640 1
0%
1650 2
0%
1700 6
0%
1720 1
0%
1750 1
0%
1800 22
0%
1900 1
0%
1920 1
0%
1950 2
0%
2000 61
0%
2040 1
0%
2100 9
0%
2190 1
0%
2200 3
0%
2250 2
0%
2280 1
0%
2300 4
0%
2340 2
0%
2380 1
0%
2400 9
0%
2450 2
0%
2500 10
0%
2600 2
0%
2650 1
0%
2700 6
0%
2760 1
0%
2800 6
0%
2900 1
0%
3000 28
0%
3150 1
0%
3200 1
0%
3250 1
0%
3400 1
0%
3500 6
0%
3600 2
0%
3700 2
0%
3750 1
0%
3800 3
0%
3950 1
0%
4000 13
0%
4200 2
0%
4250 1
0%
4300 2
0%
4500 5
0%
4800 1
0%
4900 2
0%
5000 4
0%
5400 1
0%
6000 2
0%
6200 1
0%
7550 1
0%
7800 1
0%
10000 1
0%
12000 1
0%
15400 1
0%
16500 1
0%
18000 1
0%
18500 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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