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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 value of other in-kind transfer in last 12 months (s9aq12)

Data file: vup_s9a_transfers_out.dta

Overview

Valid: 2125
Invalid: 11015
Type: Discrete
Decimal: 0
Start: 63
End: 71
Width: 9
Range: 0 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 No value 0
0%
50 2
0.1%
100 11
0.5%
120 1
0%
150 5
0.2%
200 47
2.2%
250 3
0.1%
300 51
2.4%
350 1
0%
400 27
1.3%
500 196
9.2%
550 1
0%
600 117
5.5%
650 1
0%
680 1
0%
700 90
4.2%
750 1
0%
800 39
1.8%
850 2
0.1%
900 9
0.4%
1000 229
10.8%
1020 1
0%
1050 1
0%
1100 7
0.3%
1140 1
0%
1150 1
0%
1200 94
4.4%
1250 2
0.1%
1300 9
0.4%
1350 2
0.1%
1400 61
2.9%
1500 146
6.9%
1600 21
1%
1700 18
0.8%
1800 44
2.1%
1900 1
0%
1950 1
0%
2000 131
6.2%
2100 30
1.4%
2200 4
0.2%
2300 2
0.1%
2400 20
0.9%
2500 43
2%
2550 1
0%
2600 1
0%
2700 1
0%
2800 14
0.7%
3000 112
5.3%
3050 1
0%
3100 1
0%
3200 6
0.3%
3400 2
0.1%
3500 25
1.2%
3600 12
0.6%
3750 1
0%
3800 2
0.1%
4000 54
2.5%
4200 9
0.4%
4500 9
0.4%
4600 1
0%
4700 2
0.1%
4800 2
0.1%
4900 1
0%
4950 1
0%
5000 62
2.9%
5100 1
0%
5400 5
0.2%
5500 9
0.4%
5600 3
0.1%
5700 1
0%
5800 2
0.1%
6000 44
2.1%
6200 1
0%
6300 1
0%
6400 1
0%
6500 6
0.3%
6600 1
0%
7000 27
1.3%
7050 1
0%
7200 2
0.1%
7500 3
0.1%
7650 1
0%
7800 3
0.1%
8000 12
0.6%
8100 1
0%
8400 1
0%
8500 4
0.2%
9000 4
0.2%
9400 2
0.1%
9500 4
0.2%
10000 45
2.1%
10500 1
0%
11000 3
0.1%
11500 1
0%
12000 10
0.5%
12400 1
0%
12500 2
0.1%
12800 1
0%
13000 5
0.2%
13600 1
0%
14000 5
0.2%
14500 1
0%
15000 22
1%
16000 3
0.1%
16200 1
0%
18000 4
0.2%
19000 3
0.1%
20000 16
0.8%
22000 2
0.1%
25000 4
0.2%
28800 1
0%
30000 12
0.6%
34000 1
0%
34900 1
0%
35000 2
0.1%
36000 1
0%
40000 3
0.1%
40900 1
0%
42000 3
0.1%
50000 4
0.2%
56000 1
0%
57200 1
0%
60000 2
0.1%
70000 2
0.1%
80000 4
0.2%
96000 1
0%
100000 3
0.1%
120000 1
0%
130000 1
0%
150000 2
0.1%
160000 1
0%
180000 2
0.1%
200000 1
0%
220000 1
0%
260000 1
0%
280000 1
0%
300000 1
0%
330000 1
0%
360000 1
0%
500000 1
0%
560000 1
0%
1000000 1
0%
999999999 Missing 0
0%
Sysmiss 11015
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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