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    Home / Central Data Catalog / PHL_2015-2018_S4PIE_V01_M / variable [F5]
central

Integrating Sanitation Programming in the Pantawid Pamilya Program 2015-2018, Impact Evaluation

Philippines, 2015 - 2018
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Reference ID
PHL_2015-2018_S4PIE_v01_M
Producer(s)
Claire Chase
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
24949
Downloads
310
  • Study Description
  • Data Dictionary
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  • Data files
  • endline_raw_hh.dta
  • export_panel_clean.dta
  • hh_characteristics_2.12.16.dta
  • hh_child_health_2.12.16.dta
  • hh_loans_2.12.16.dta
  • hh_roster_2.12.16.dta

Total Borrowed (G9_15)

Data file: hh_loans_2.12.16.dta

Overview

Valid: 1058
Invalid: -
Minimum: 0
Maximum: 999999
Type: Discrete
Decimal: 0
Start: 143
End: 148
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Literal question
How much in total did you borrow?
INCLUDE ONLY THE PRINCIPAL
Categories
Value Category Cases
0 6
0.6%
11 1
0.1%
12 1
0.1%
20 2
0.2%
50 1
0.1%
52 1
0.1%
75 2
0.2%
80 1
0.1%
100 3
0.3%
120 1
0.1%
148 1
0.1%
150 2
0.2%
160 1
0.1%
200 11
1%
210 1
0.1%
250 2
0.2%
300 20
1.9%
400 5
0.5%
419 1
0.1%
450 3
0.3%
500 39
3.7%
541 1
0.1%
550 1
0.1%
560 1
0.1%
580 2
0.2%
600 4
0.4%
700 3
0.3%
800 3
0.3%
890 1
0.1%
900 1
0.1%
1000 60
5.7%
1020 1
0.1%
1150 1
0.1%
1200 8
0.8%
1300 3
0.3%
1400 2
0.2%
1500 33
3.1%
1600 1
0.1%
1777 1
0.1%
1800 3
0.3%
1900 2
0.2%
2000 77
7.3%
2300 1
0.1%
2400 1
0.1%
2500 5
0.5%
2600 1
0.1%
2800 2
0.2%
3000 89
8.4%
3500 9
0.9%
4000 54
5.1%
4500 3
0.3%
4600 1
0.1%
4700 1
0.1%
5000 185
17.5%
5500 1
0.1%
6000 60
5.7%
7000 33
3.1%
8000 24
2.3%
8200 1
0.1%
8700 1
0.1%
8800 3
0.3%
9000 13
1.2%
9500 1
0.1%
10000 113
10.7%
11000 4
0.4%
12000 13
1.2%
12600 1
0.1%
13000 5
0.5%
14000 1
0.1%
15000 17
1.6%
16000 5
0.5%
17000 2
0.2%
18000 7
0.7%
19000 1
0.1%
20000 28
2.6%
23000 1
0.1%
25000 5
0.5%
28000 1
0.1%
30000 13
1.2%
35000 2
0.2%
37980 1
0.1%
38000 1
0.1%
39000 1
0.1%
40000 6
0.6%
50000 5
0.5%
50400 1
0.1%
60000 1
0.1%
73000 1
0.1%
75600 1
0.1%
76752 1
0.1%
80000 1
0.1%
88000 1
0.1%
90000 1
0.1%
99000 1
0.1%
100000 3
0.3%
100800 1
0.1%
150000 1
0.1%
200000 1
0.1%
988888 Don't know 1
0.1%
999999 Refused 6
0.6%
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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