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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F23]
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

Value of other in-kind transfers received in last 12 months (s9bq12)

Data file: vup_s9b_transfers_in.dta

Overview

Valid: 2870
Invalid: 11782
Type: Discrete
Decimal: 0
Start: 64
End: 72
Width: 9
Range: 2 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
2 1
0%
35 1
0%
50 2
0.1%
60 1
0%
80 1
0%
100 19
0.7%
150 5
0.2%
200 29
1%
230 1
0%
250 3
0.1%
280 1
0%
300 43
1.5%
350 2
0.1%
400 34
1.2%
450 5
0.2%
500 176
6.1%
550 2
0.1%
600 89
3.1%
700 129
4.5%
750 1
0%
770 1
0%
800 49
1.7%
850 1
0%
900 10
0.3%
950 1
0%
1000 282
9.8%
1050 1
0%
1100 2
0.1%
1200 73
2.5%
1250 3
0.1%
1300 7
0.2%
1400 63
2.2%
1500 164
5.7%
1600 24
0.8%
1650 2
0.1%
1700 18
0.6%
1800 34
1.2%
1900 2
0.1%
2000 189
6.6%
2100 26
0.9%
2200 4
0.1%
2250 1
0%
2300 3
0.1%
2400 26
0.9%
2500 47
1.6%
2600 6
0.2%
2700 4
0.1%
2800 16
0.6%
2900 1
0%
3000 187
6.5%
3100 2
0.1%
3150 1
0%
3200 5
0.2%
3300 3
0.1%
3400 4
0.1%
3500 37
1.3%
3600 9
0.3%
3700 3
0.1%
3800 5
0.2%
3900 2
0.1%
4000 81
2.8%
4100 1
0%
4200 11
0.4%
4400 2
0.1%
4500 20
0.7%
4560 1
0%
4580 1
0%
4600 2
0.1%
4700 1
0%
4800 6
0.2%
4900 5
0.2%
5000 151
5.3%
5100 3
0.1%
5200 3
0.1%
5250 1
0%
5400 4
0.1%
5500 17
0.6%
5600 4
0.1%
5700 1
0%
5800 1
0%
6000 88
3.1%
6200 2
0.1%
6500 9
0.3%
6700 1
0%
6800 2
0.1%
7000 65
2.3%
7200 4
0.1%
7300 1
0%
7500 7
0.2%
7700 2
0.1%
7800 1
0%
8000 47
1.6%
8300 1
0%
8400 2
0.1%
8500 6
0.2%
8600 1
0%
8650 1
0%
9000 17
0.6%
9100 1
0%
9200 1
0%
9300 1
0%
9500 4
0.1%
9700 1
0%
9800 1
0%
10000 86
3%
10300 1
0%
10400 1
0%
10500 1
0%
10800 1
0%
11000 6
0.2%
11400 2
0.1%
11500 2
0.1%
12000 33
1.1%
12500 2
0.1%
13000 10
0.3%
13500 4
0.1%
13800 1
0%
14000 6
0.2%
14400 1
0%
14500 2
0.1%
15000 67
2.3%
15500 3
0.1%
16000 3
0.1%
16200 1
0%
16500 2
0.1%
16700 1
0%
16800 1
0%
17000 3
0.1%
18000 15
0.5%
18500 1
0%
18600 1
0%
19000 7
0.2%
19200 1
0%
20000 25
0.9%
20500 1
0%
21000 1
0%
21300 1
0%
21500 1
0%
21700 1
0%
22400 1
0%
22500 1
0%
23000 5
0.2%
23500 1
0%
24000 1
0%
25000 17
0.6%
25200 1
0%
26000 1
0%
27000 2
0.1%
27500 1
0%
28000 2
0.1%
30000 14
0.5%
32000 4
0.1%
32500 1
0%
33000 1
0%
33200 1
0%
34500 1
0%
35000 4
0.1%
36000 1
0%
37000 2
0.1%
38500 1
0%
39000 1
0%
40000 7
0.2%
42000 1
0%
43000 1
0%
47000 2
0.1%
47500 1
0%
48000 1
0%
50000 7
0.2%
50800 1
0%
55000 1
0%
60000 4
0.1%
63000 1
0%
64000 1
0%
65000 1
0%
67200 1
0%
69000 1
0%
70000 2
0.1%
71000 1
0%
71500 1
0%
75000 1
0%
80000 3
0.1%
81500 1
0%
86000 1
0%
90000 2
0.1%
100000 7
0.2%
120000 3
0.1%
130000 1
0%
150000 4
0.1%
200000 4
0.1%
232500 1
0%
250000 2
0.1%
1200000 1
0%
999999999 Missing 0
0%
Sysmiss 11782
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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