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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F22]
central

Integrated Household Living Conditions Survey (EICV4), 2013-2014
VUP

Rwanda, 2013 - 2014
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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

Total cash sent in last 12 months (s9aq7)

Data file: vup_s9a_transfers_out.dta

Overview

Valid: 1995
Invalid: 11145
Type: Discrete
Decimal: 0
Start: 42
End: 50
Width: 9
Range: 0 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 No value 0
0%
50 2
0.1%
100 29
1.5%
140 2
0.1%
150 2
0.1%
200 74
3.7%
250 7
0.4%
300 45
2.3%
350 1
0.1%
400 31
1.6%
450 1
0.1%
500 274
13.7%
550 2
0.1%
600 17
0.9%
700 20
1%
800 8
0.4%
900 6
0.3%
1000 320
16%
1100 4
0.2%
1200 5
0.3%
1300 2
0.1%
1350 1
0.1%
1400 5
0.3%
1500 64
3.2%
1600 2
0.1%
1700 3
0.2%
1800 2
0.1%
2000 267
13.4%
2200 2
0.1%
2400 1
0.1%
2500 23
1.2%
2600 2
0.1%
2700 1
0.1%
2800 1
0.1%
3000 104
5.2%
3200 1
0.1%
3300 1
0.1%
3500 10
0.5%
3600 2
0.1%
4000 67
3.4%
4200 2
0.1%
4500 7
0.4%
4600 1
0.1%
5000 173
8.7%
5100 1
0.1%
5500 3
0.2%
6000 37
1.9%
6300 1
0.1%
6500 3
0.2%
6800 1
0.1%
7000 22
1.1%
7200 1
0.1%
7500 3
0.2%
8000 15
0.8%
8150 1
0.1%
8400 1
0.1%
9000 5
0.3%
9100 2
0.1%
9500 1
0.1%
10000 92
4.6%
10500 1
0.1%
11000 2
0.1%
12000 13
0.7%
12600 1
0.1%
13000 3
0.2%
13500 1
0.1%
14000 1
0.1%
15000 36
1.8%
16200 1
0.1%
17000 2
0.1%
17500 2
0.1%
17700 1
0.1%
18000 2
0.1%
19000 2
0.1%
19800 1
0.1%
20000 31
1.6%
20700 1
0.1%
21000 1
0.1%
23000 2
0.1%
24000 3
0.2%
25000 6
0.3%
26000 1
0.1%
28000 1
0.1%
30000 27
1.4%
31000 1
0.1%
32000 1
0.1%
33000 1
0.1%
33500 1
0.1%
35000 3
0.2%
37000 1
0.1%
39000 1
0.1%
40000 7
0.4%
43000 1
0.1%
45000 4
0.2%
47000 1
0.1%
48000 1
0.1%
50000 10
0.5%
60000 3
0.2%
65000 2
0.1%
70000 3
0.2%
73000 1
0.1%
75000 1
0.1%
78000 1
0.1%
80000 3
0.2%
82000 1
0.1%
90000 1
0.1%
100000 3
0.2%
110000 2
0.1%
120000 1
0.1%
125000 1
0.1%
126000 1
0.1%
135000 1
0.1%
140000 1
0.1%
150000 2
0.1%
178000 1
0.1%
180000 1
0.1%
200000 1
0.1%
210000 1
0.1%
220000 1
0.1%
280000 1
0.1%
314090 1
0.1%
386000 1
0.1%
410000 1
0.1%
999999999 Missing 0
0%
Sysmiss 11145
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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