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    Home / Central Data Catalog / IMPACT_EVALUATION / PHL_2015-2018_S4PIE_V01_M / variable [F1]
impact_evaluation

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
DOI
https://doi.org/10.48529/9rhz-g870
Producer(s)
Claire Chase
Collection(s)
Impact Evaluation Surveys The Strategic Impact Evaluation Fund (SIEF)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 12, 2021
Last modified
May 12, 2021
Page views
69470
Downloads
75880
  • Study Description
  • Data Description
  • Documentation
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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

L148 Class of Worker (L148)

Data file: endline_raw_hh.dta

Overview

Valid: 2484
Invalid: 211
Minimum: 1
Maximum: 33
Type: Discrete
Decimal: 0
Start: 514
End: 515
Width: 2
Range: 1 - 33
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Works for private household 416
16.7%
2 Works for private establishment 380
15.3%
3 Worked for government/government corporation 90
3.6%
4 Self-employed without any paid employee 561
22.6%
5 Employer in own family-operated farm or business 166
6.7%
6 Worked with pay in own family-operated farm or business 241
9.7%
7 Worked without pay in own family-operated farm or business 172
6.9%
8 Carpenter 24
1%
9 Construction worker 17
0.7%
10 Driver (habal -habal,pedicab,tricycle) 55
2.2%
11 Entrepreneur/Own business 19
0.8%
12 Farmer 102
4.1%
13 Fisherman 74
3%
14 Laborer 66
2.7%
15 Welder 7
0.3%
16 OFW 4
0.2%
17 Works in other family-operated farm or business 48
1.9%
18 Paintor 3
0.1%
19 Person with Disablities (PWD) 1
0%
20 Vendor 6
0.2%
21 Housewife 1
0%
22 Boat crew 3
0.1%
23 Charcoal maker 9
0.4%
24 Furniture maker 4
0.2%
25 Nipa maker 2
0.1%
26 Pensionner 1
0%
27 Electrician 1
0%
28 Bamboo woven mats maker 2
0.1%
29 Steel man 1
0%
30 Mechanic 2
0.1%
31 Handicraft maker 2
0.1%
32 Delivery man 3
0.1%
33 Scrap buyer 1
0%
Sysmiss 211
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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