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    Home / Central Data Catalog / RWA-NISR-DDI-EICV4-VUP-01 / variable [F29]
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

Tontine amount received last 12 months (s10cq9)

Data file: vup_s10c_savings.dta

Overview

Valid: 1784
Invalid: 2975
Type: Discrete
Decimal: 0
Start: 61
End: 69
Width: 9
Range: 0 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 738
41.4%
400 1
0.1%
500 1
0.1%
800 2
0.1%
1000 3
0.2%
1500 1
0.1%
1700 3
0.2%
2000 10
0.6%
2400 1
0.1%
2500 7
0.4%
2700 1
0.1%
2800 1
0.1%
3000 16
0.9%
3500 6
0.3%
3600 1
0.1%
3800 1
0.1%
4000 13
0.7%
4400 1
0.1%
4500 2
0.1%
5000 19
1.1%
5200 2
0.1%
5400 1
0.1%
5500 4
0.2%
5600 1
0.1%
6000 20
1.1%
6300 1
0.1%
6500 4
0.2%
6600 1
0.1%
7000 15
0.8%
7250 1
0.1%
7400 2
0.1%
7500 2
0.1%
7800 1
0.1%
7850 1
0.1%
8000 10
0.6%
8300 1
0.1%
8400 1
0.1%
8500 6
0.3%
9000 9
0.5%
9400 1
0.1%
9500 1
0.1%
9600 1
0.1%
10000 34
1.9%
10400 2
0.1%
10500 3
0.2%
10600 1
0.1%
11000 8
0.4%
11300 1
0.1%
11400 1
0.1%
11500 1
0.1%
11600 2
0.1%
11750 1
0.1%
12000 25
1.4%
12400 1
0.1%
12500 3
0.2%
12600 1
0.1%
12700 1
0.1%
13000 4
0.2%
13200 2
0.1%
13400 1
0.1%
13500 2
0.1%
13700 1
0.1%
14000 5
0.3%
14400 1
0.1%
14500 5
0.3%
15000 25
1.4%
15500 1
0.1%
15760 1
0.1%
15800 1
0.1%
16000 8
0.4%
17000 10
0.6%
17500 1
0.1%
18000 20
1.1%
18700 1
0.1%
19000 4
0.2%
20000 56
3.1%
20150 1
0.1%
20200 1
0.1%
20280 1
0.1%
20400 1
0.1%
20500 2
0.1%
21000 6
0.3%
21300 1
0.1%
21600 1
0.1%
22000 6
0.3%
23000 9
0.5%
24000 13
0.7%
24100 1
0.1%
24300 2
0.1%
24500 1
0.1%
25000 20
1.1%
25300 1
0.1%
26000 10
0.6%
26400 1
0.1%
26500 2
0.1%
27000 8
0.4%
28000 16
0.9%
28500 1
0.1%
28600 1
0.1%
29000 2
0.1%
30000 47
2.6%
31300 1
0.1%
31500 1
0.1%
31700 1
0.1%
32000 3
0.2%
32500 1
0.1%
33000 2
0.1%
33060 1
0.1%
34000 6
0.3%
34200 1
0.1%
34500 1
0.1%
35000 10
0.6%
35480 1
0.1%
36000 10
0.6%
37000 3
0.2%
38000 4
0.2%
38800 1
0.1%
39000 7
0.4%
40000 48
2.7%
41000 1
0.1%
41400 1
0.1%
42000 10
0.6%
42200 1
0.1%
42500 1
0.1%
43000 3
0.2%
43200 1
0.1%
43600 1
0.1%
44400 1
0.1%
45000 10
0.6%
45080 1
0.1%
45700 1
0.1%
46000 6
0.3%
48000 5
0.3%
49000 1
0.1%
50000 32
1.8%
51000 2
0.1%
52000 8
0.4%
52500 1
0.1%
53000 2
0.1%
55000 2
0.1%
56000 1
0.1%
57000 4
0.2%
58000 1
0.1%
59000 1
0.1%
60000 40
2.2%
61000 3
0.2%
62000 1
0.1%
63300 1
0.1%
64000 3
0.2%
65000 6
0.3%
65670 1
0.1%
66000 1
0.1%
67000 1
0.1%
67360 1
0.1%
68000 3
0.2%
70000 23
1.3%
71000 1
0.1%
71500 1
0.1%
72000 2
0.1%
73000 1
0.1%
75000 5
0.3%
76000 2
0.1%
78000 1
0.1%
78400 1
0.1%
79000 1
0.1%
80000 22
1.2%
82000 1
0.1%
84000 2
0.1%
85000 1
0.1%
86000 2
0.1%
87000 2
0.1%
88000 3
0.2%
88600 1
0.1%
89050 1
0.1%
90000 9
0.5%
92000 1
0.1%
93500 1
0.1%
95000 3
0.2%
97000 1
0.1%
98000 1
0.1%
99000 1
0.1%
100000 24
1.3%
100800 1
0.1%
101000 2
0.1%
102000 1
0.1%
102500 1
0.1%
103000 1
0.1%
104000 4
0.2%
105000 3
0.2%
106000 2
0.1%
106250 1
0.1%
107500 1
0.1%
107600 1
0.1%
109000 1
0.1%
110000 6
0.3%
115000 2
0.1%
115200 1
0.1%
117000 1
0.1%
120000 10
0.6%
121950 1
0.1%
125000 1
0.1%
126000 1
0.1%
127000 1
0.1%
128000 1
0.1%
130000 1
0.1%
135000 1
0.1%
138000 1
0.1%
139000 1
0.1%
140000 1
0.1%
150000 8
0.4%
151000 1
0.1%
155000 1
0.1%
156000 1
0.1%
160000 1
0.1%
163250 1
0.1%
164000 1
0.1%
165000 2
0.1%
175000 1
0.1%
180000 5
0.3%
187000 1
0.1%
188000 1
0.1%
190000 1
0.1%
195000 1
0.1%
200000 2
0.1%
205000 1
0.1%
210000 1
0.1%
220000 1
0.1%
221000 1
0.1%
230000 1
0.1%
250000 6
0.3%
266000 1
0.1%
280000 1
0.1%
300000 7
0.4%
320000 1
0.1%
338000 1
0.1%
348500 1
0.1%
550000 1
0.1%
600000 1
0.1%
670000 1
0.1%
770000 1
0.1%
1008000 1
0.1%
1440000 1
0.1%
999999999 Missing 0
0%
Sysmiss 2975
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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