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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

Total deposited each month (s10cq10)

Data file: vup_s10c_savings.dta

Overview

Valid: 1784
Invalid: 2975
Type: Discrete
Decimal: 0
Start: 70
End: 78
Width: 9
Range: 0 - 999999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Not applicable 0
0%
100 17
1%
150 4
0.2%
200 73
4.1%
250 4
0.2%
280 1
0.1%
300 15
0.8%
350 3
0.2%
400 71
4%
416 1
0.1%
450 4
0.2%
480 1
0.1%
500 105
5.9%
520 4
0.2%
535 2
0.1%
550 5
0.3%
600 26
1.5%
700 6
0.3%
800 99
5.5%
850 3
0.2%
880 2
0.1%
900 6
0.3%
950 1
0.1%
1000 149
8.4%
1050 3
0.2%
1100 27
1.5%
1200 66
3.7%
1250 3
0.2%
1280 1
0.1%
1300 9
0.5%
1400 14
0.8%
1430 2
0.1%
1450 1
0.1%
1500 25
1.4%
1550 2
0.1%
1600 26
1.5%
1650 1
0.1%
1675 1
0.1%
1700 5
0.3%
1725 1
0.1%
1750 1
0.1%
1800 7
0.4%
1900 2
0.1%
1950 1
0.1%
2000 149
8.4%
2050 1
0.1%
2080 1
0.1%
2100 13
0.7%
2200 47
2.6%
2235 1
0.1%
2250 3
0.2%
2300 5
0.3%
2400 42
2.4%
2480 1
0.1%
2500 30
1.7%
2600 8
0.4%
2650 1
0.1%
2700 2
0.1%
2800 10
0.6%
2830 1
0.1%
2910 1
0.1%
3000 38
2.1%
3100 2
0.1%
3150 1
0.1%
3200 23
1.3%
3280 1
0.1%
3300 4
0.2%
3350 1
0.1%
3400 13
0.7%
3500 15
0.8%
3600 5
0.3%
3660 3
0.2%
3800 1
0.1%
4000 73
4.1%
4100 4
0.2%
4200 12
0.7%
4300 2
0.1%
4400 23
1.3%
4500 4
0.2%
4550 1
0.1%
4600 6
0.3%
4800 17
1%
5000 58
3.3%
5100 2
0.1%
5150 1
0.1%
5200 9
0.5%
5250 2
0.1%
5400 3
0.2%
5500 9
0.5%
5600 2
0.1%
5700 1
0.1%
5760 1
0.1%
5800 1
0.1%
5900 1
0.1%
6000 24
1.3%
6100 1
0.1%
6200 4
0.2%
6300 1
0.1%
6400 3
0.2%
6500 6
0.3%
6600 4
0.2%
6700 1
0.1%
6800 5
0.3%
7000 10
0.6%
7200 3
0.2%
7250 1
0.1%
7300 3
0.2%
7400 1
0.1%
7500 1
0.1%
7600 2
0.1%
7900 1
0.1%
8000 25
1.4%
8100 2
0.1%
8300 1
0.1%
8400 5
0.3%
8500 1
0.1%
8600 2
0.1%
8800 7
0.4%
9000 4
0.2%
9200 1
0.1%
9500 2
0.1%
9600 2
0.1%
10000 20
1.1%
10100 1
0.1%
10200 3
0.2%
10400 1
0.1%
10500 2
0.1%
11000 8
0.4%
11200 1
0.1%
11350 1
0.1%
11600 2
0.1%
11700 1
0.1%
12000 16
0.9%
12500 5
0.3%
12600 2
0.1%
12750 1
0.1%
12800 2
0.1%
12850 1
0.1%
13000 2
0.1%
13200 6
0.3%
13400 1
0.1%
13600 1
0.1%
14000 3
0.2%
14400 2
0.1%
14800 2
0.1%
15000 5
0.3%
15700 1
0.1%
16000 6
0.3%
16400 2
0.1%
17000 2
0.1%
17200 1
0.1%
17400 1
0.1%
17500 1
0.1%
17700 1
0.1%
18000 2
0.1%
18400 1
0.1%
18600 1
0.1%
18800 1
0.1%
19300 2
0.1%
20000 12
0.7%
20400 1
0.1%
20500 1
0.1%
21400 1
0.1%
22000 4
0.2%
23600 1
0.1%
24000 6
0.3%
24200 3
0.2%
25000 2
0.1%
25500 2
0.1%
26000 1
0.1%
26400 2
0.1%
26500 1
0.1%
27000 2
0.1%
27500 1
0.1%
28000 2
0.1%
28800 1
0.1%
30000 8
0.4%
30400 1
0.1%
30950 1
0.1%
33000 2
0.1%
35000 3
0.2%
36000 3
0.2%
38000 1
0.1%
38400 3
0.2%
38500 1
0.1%
40000 1
0.1%
44000 1
0.1%
46000 1
0.1%
56400 1
0.1%
57600 1
0.1%
58800 1
0.1%
60000 9
0.5%
66000 1
0.1%
70000 3
0.2%
72000 1
0.1%
78000 1
0.1%
84000 1
0.1%
88000 1
0.1%
90000 1
0.1%
104000 1
0.1%
112500 1
0.1%
120000 1
0.1%
131400 1
0.1%
145000 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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