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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F18]
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

Amount spent on article in last 4 weeks (s8a2q3)

Data file: vup_s8a2_expenditure.dta

Overview

Valid: 10273
Invalid: 125027
Type: Discrete
Decimal: 0
Start: 134
End: 142
Width: 9
Range: 10 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 1
0%
20 39
0.4%
30 1
0%
40 8
0.1%
50 638
6.2%
60 5
0%
70 3
0%
80 7
0.1%
90 3
0%
100 1236
12%
110 2
0%
120 45
0.4%
130 1
0%
150 301
2.9%
160 4
0%
170 3
0%
180 3
0%
200 1543
15%
220 4
0%
240 3
0%
250 464
4.5%
270 1
0%
280 1
0%
300 1475
14.4%
320 5
0%
330 1
0%
350 126
1.2%
360 3
0%
370 1
0%
380 2
0%
400 667
6.5%
420 2
0%
450 61
0.6%
470 2
0%
480 6
0.1%
500 687
6.7%
550 31
0.3%
570 2
0%
580 2
0%
600 559
5.4%
620 1
0%
650 23
0.2%
660 1
0%
700 277
2.7%
750 30
0.3%
790 1
0%
800 221
2.2%
850 10
0.1%
900 91
0.9%
950 7
0.1%
980 1
0%
1000 456
4.4%
1050 8
0.1%
1080 1
0%
1100 29
0.3%
1130 1
0%
1150 3
0%
1200 160
1.6%
1250 9
0.1%
1300 44
0.4%
1340 1
0%
1350 4
0%
1400 44
0.4%
1450 3
0%
1500 139
1.4%
1550 1
0%
1600 21
0.2%
1640 1
0%
1650 2
0%
1670 1
0%
1700 16
0.2%
1750 1
0%
1780 1
0%
1800 34
0.3%
1850 2
0%
1900 13
0.1%
1950 1
0%
1960 1
0%
2000 129
1.3%
2050 2
0%
2100 21
0.2%
2160 1
0%
2200 7
0.1%
2250 1
0%
2300 7
0.1%
2370 1
0%
2400 16
0.2%
2450 3
0%
2500 39
0.4%
2600 11
0.1%
2650 1
0%
2700 7
0.1%
2750 2
0%
2800 11
0.1%
2850 1
0%
2900 4
0%
3000 98
1%
3100 7
0.1%
3150 1
0%
3200 5
0%
3300 1
0%
3400 2
0%
3460 1
0%
3500 12
0.1%
3550 1
0%
3600 9
0.1%
3700 4
0%
3750 1
0%
3800 1
0%
3900 1
0%
4000 41
0.4%
4100 1
0%
4200 3
0%
4250 2
0%
4300 2
0%
4500 11
0.1%
4600 4
0%
4700 2
0%
4800 3
0%
5000 37
0.4%
5050 1
0%
5100 2
0%
5200 3
0%
5370 1
0%
5480 1
0%
5500 1
0%
5600 1
0%
5700 1
0%
5800 1
0%
5900 1
0%
6000 27
0.3%
6200 1
0%
6300 1
0%
6330 1
0%
6400 2
0%
6500 1
0%
6700 1
0%
6800 3
0%
7000 13
0.1%
7100 1
0%
7400 1
0%
7500 3
0%
7800 1
0%
7900 1
0%
8000 11
0.1%
8010 1
0%
8500 2
0%
9000 2
0%
9600 2
0%
10000 14
0.1%
10500 2
0%
10700 1
0%
11000 4
0%
11070 1
0%
11200 1
0%
12000 5
0%
12400 1
0%
13000 1
0%
13500 2
0%
14000 1
0%
15000 7
0.1%
16000 1
0%
17000 1
0%
18000 1
0%
19500 1
0%
20000 3
0%
20800 1
0%
21000 1
0%
22000 2
0%
23500 1
0%
25000 1
0%
27500 1
0%
30000 3
0%
45900 1
0%
50000 2
0%
61000 1
0%
75000 1
0%
500000 1
0%
999999999 Missing 0
0%
Sysmiss 125027
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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