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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 2 (s8bq3)

Data file: vup_s8b_expenditure.dta

Overview

Valid: 361620
Invalid: 0
Type: Discrete
Decimal: 0
Start: 122
End: 127
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 347899
96.2%
6 1
0%
10 19
0%
20 111
0%
25 3
0%
30 26
0%
40 34
0%
50 1192
0.3%
60 28
0%
70 14
0%
75 14
0%
80 25
0%
85 1
0%
90 3
0%
100 3371
0.9%
110 3
0%
120 63
0%
125 8
0%
130 33
0%
135 1
0%
140 24
0%
150 641
0.2%
160 23
0%
165 1
0%
170 43
0%
175 4
0%
180 58
0%
190 9
0%
200 2070
0.6%
210 2
0%
220 12
0%
225 4
0%
230 5
0%
240 19
0%
250 227
0.1%
260 15
0%
270 3
0%
280 17
0%
290 3
0%
300 1042
0.3%
310 1
0%
320 17
0%
330 6
0%
340 20
0%
345 1
0%
350 266
0.1%
360 31
0%
370 3
0%
375 7
0%
380 17
0%
390 5
0%
400 749
0.2%
405 1
0%
410 1
0%
420 15
0%
430 1
0%
435 1
0%
440 8
0%
450 142
0%
455 1
0%
460 3
0%
470 2
0%
475 1
0%
480 14
0%
490 1
0%
500 551
0.2%
510 9
0%
520 8
0%
525 4
0%
530 5
0%
540 14
0%
550 47
0%
560 10
0%
570 6
0%
580 2
0%
585 1
0%
590 3
0%
600 509
0.1%
620 2
0%
630 6
0%
640 6
0%
645 1
0%
650 47
0%
660 6
0%
675 4
0%
680 12
0%
690 3
0%
700 353
0.1%
720 16
0%
730 2
0%
740 1
0%
750 125
0%
760 5
0%
765 1
0%
780 6
0%
800 216
0.1%
810 1
0%
820 1
0%
825 2
0%
840 6
0%
850 10
0%
857 1
0%
860 2
0%
875 3
0%
880 5
0%
900 115
0%
920 1
0%
930 1
0%
940 4
0%
950 3
0%
960 7
0%
980 1
0%
1000 264
0.1%
1020 4
0%
1040 2
0%
1050 28
0%
1080 1
0%
1100 24
0%
1110 1
0%
1120 4
0%
1140 1
0%
1150 7
0%
1160 1
0%
1180 1
0%
1200 109
0%
1230 1
0%
1250 15
0%
1260 1
0%
1265 1
0%
1280 2
0%
1290 1
0%
1300 18
0%
1310 1
0%
1320 1
0%
1350 7
0%
1375 1
0%
1400 72
0%
1440 1
0%
1450 3
0%
1460 1
0%
1480 1
0%
1500 128
0%
1520 1
0%
1550 1
0%
1560 2
0%
1600 47
0%
1610 1
0%
1650 4
0%
1670 1
0%
1675 1
0%
1680 1
0%
1700 12
0%
1750 9
0%
1760 1
0%
1800 24
0%
1810 1
0%
1850 2
0%
1880 1
0%
1900 5
0%
1920 2
0%
1950 1
0%
1960 1
0%
2000 68
0%
2050 1
0%
2100 21
0%
2150 1
0%
2200 6
0%
2250 7
0%
2300 1
0%
2350 1
0%
2400 12
0%
2500 19
0%
2520 1
0%
2540 1
0%
2600 4
0%
2640 1
0%
2700 8
0%
2750 1
0%
2800 6
0%
2975 1
0%
3000 36
0%
3050 1
0%
3080 1
0%
3100 2
0%
3150 3
0%
3200 4
0%
3300 2
0%
3400 3
0%
3440 1
0%
3500 6
0%
3600 2
0%
3700 2
0%
3750 2
0%
3800 3
0%
4000 16
0%
4200 2
0%
4500 3
0%
4800 1
0%
5000 8
0%
5100 2
0%
6000 4
0%
6500 1
0%
6800 1
0%
7000 1
0%
7500 1
0%
8700 1
0%
9500 1
0%
17500 1
0%
999999 Missing 0
0%
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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