Labor Turnover Survey 2019
Philippines, 2019 - 2020
Reference ID
DDI-PHL-PSA-LTS-2019-V2.0
Producer(s)
Philippine Statistics Authority (PSA)
Collection(s)
Metadata
Created on
Nov 15, 2023
Last modified
Nov 15, 2023
Page views
109
Downloads
28
Identification
Title
Labor Turnover Survey 2019
Countries
| Name | Abbreviation |
|---|---|
| Philippines | PHL |
idno
DDI-PHL-PSA-LTS-2019-V2.0
Study notes
The LTS aims to generate quarterly data on labor turnover (accession and separation rates) as indicators of labor market activity in small, medium and large business establishments.
The information gathered in this survey is intended to generate timely labor market signals as a sound basis in planning, policy formulation and decision making in government, business and industry.
The information gathered in this survey is intended to generate timely labor market signals as a sound basis in planning, policy formulation and decision making in government, business and industry.
Kind of data
Sample survey data [ssd]
Unit of analysis
Establishments
Version
Version
V2.0 Final dataset for official estimates
Version date
2020-12-18
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Business statistics | Philippine Statistics Authority | |
| Business and agricultural surveys | Philippine Statistics Authority |
Coverage
Geographic coverage
National Capital Region
NCR 1 - Manila, San Juan, and Mandaluyong
NCR II - Marikina and Quezon City
NCR III - Makati, Taguig, Pasig and Pateros
NCR IV - Caloocan, Malabon,, Navotas and Valenzuela
NCR V - Pasay, Parañaque, Las Piñas and Muntinlupa
NCR 1 - Manila, San Juan, and Mandaluyong
NCR II - Marikina and Quezon City
NCR III - Makati, Taguig, Pasig and Pateros
NCR IV - Caloocan, Malabon,, Navotas and Valenzuela
NCR V - Pasay, Parañaque, Las Piñas and Muntinlupa
Unit of analysis
Establishments
Universe
The 2019 LTS samples was extracted from the preliminary 2018 List of Establishments (LE) as of 08 January 2019.
This list was a product of 2018 Updating of List of Establishments (ULE). The updating involved complete enumeration of establishments in the barangay where "no matched" establishments (establishments listed in other sources but not in the LE) from prioritized secondary sources are located, barangay with new malls, barangay having establishments with total employment of 100 and over, barangay with the highest number of establishments from typhoon Yolanda affected cities/municipalities and barangays with the highest number of establishments for some provinces. Also covered using mail inquiry, were other "no matched" establishments including those located in distant barangays.
Other sources of updates are the survey feedbacks from the 2016 Annual Survey of Philippine Business and Industry (ASPBI) and 2018 3rd Quarter Labor Turnover Survey (LTS).
A total of 18,326 establishments in NCR with employment size of at least 20 workers extracted from the 2018 List of Establishments comprised the LTS 2019 sampling Frame.
Note: Refer to Metadata in Technical Documents.
This list was a product of 2018 Updating of List of Establishments (ULE). The updating involved complete enumeration of establishments in the barangay where "no matched" establishments (establishments listed in other sources but not in the LE) from prioritized secondary sources are located, barangay with new malls, barangay having establishments with total employment of 100 and over, barangay with the highest number of establishments from typhoon Yolanda affected cities/municipalities and barangays with the highest number of establishments for some provinces. Also covered using mail inquiry, were other "no matched" establishments including those located in distant barangays.
Other sources of updates are the survey feedbacks from the 2016 Annual Survey of Philippine Business and Industry (ASPBI) and 2018 3rd Quarter Labor Turnover Survey (LTS).
A total of 18,326 establishments in NCR with employment size of at least 20 workers extracted from the 2018 List of Establishments comprised the LTS 2019 sampling Frame.
Note: Refer to Metadata in Technical Documents.
Producers and sponsors
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Government of the Philippines | GOP | Full funding |
Sampling
Sampling procedure
The establishment is the unit of enumeration. The 18,326 sample establishments in NCR included in the frame were stratified based on the eighteen (18) sections as domains.
The initial sample size per stratum was obtained by taking into account the computed highest Coefficient of Variation (CVh) at the national level between the estimates on Accession and Separation rates from the final result of the 3rd Quarter 2018 LTS and a target Coefficient of Variation.
A total of 18,326 samples was computed and was further reduced to 1,209 establishments during the 3rd and 4th quarter 2019 LTS. As a sound basis in the reduction of the number of samples, a study has been made on the reliability of data using previous survey results. The study showed thar regardless of the number of samples taken, data were still reliable.
Note: Refer to Metadata and Field Operations Manual in Technical Documents.
The initial sample size per stratum was obtained by taking into account the computed highest Coefficient of Variation (CVh) at the national level between the estimates on Accession and Separation rates from the final result of the 3rd Quarter 2018 LTS and a target Coefficient of Variation.
A total of 18,326 samples was computed and was further reduced to 1,209 establishments during the 3rd and 4th quarter 2019 LTS. As a sound basis in the reduction of the number of samples, a study has been made on the reliability of data using previous survey results. The study showed thar regardless of the number of samples taken, data were still reliable.
Note: Refer to Metadata and Field Operations Manual in Technical Documents.
Response rate
1st Qtr - 90.80%
2nd Qtr - 91.90 %
3rd Qtr - 65.10 %
4th Qtr - 60.60 %
2nd Qtr - 91.90 %
3rd Qtr - 65.10 %
4th Qtr - 60.60 %
Weighting
Weights were computed as the ratio of the estimated population of establishments to the number of responding establishments.
Wi = Ni/ni x ni"/n
Where
Wi - Weight in the ith industry stratum
Ni - Total number of establishments in the frame ith industry stratum
ni - Number of sample establishments in the ith industry stratum
n' - Number of responding establishments in the ith industry stratum
n'' - Number of eligible units in the ith industry stratum
Note: Refer to Metadata
Wi = Ni/ni x ni"/n
Where
Wi - Weight in the ith industry stratum
Ni - Total number of establishments in the frame ith industry stratum
ni - Number of sample establishments in the ith industry stratum
n' - Number of responding establishments in the ith industry stratum
n'' - Number of eligible units in the ith industry stratum
Note: Refer to Metadata
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2019-08-05 | 2019-10-11 | 1st Quarter 2019 and 2nd Qtr 2019 |
| 2020-02-19 | 2020-04-22 | 3rd Quarter 2019 and 4th Quarter 2019 |
Time period(s)
| Start | End | Cycle |
|---|---|---|
| 2019-01-01 | 2019-03-31 | 1st Quarter 2019 |
| 2019-04-01 | 2019-06-30 | 2nd Quarter 2019 |
| 2019-07-01 | 2019-09-30 | 3rd Quarter 2019 |
| 2019-10-01 | 2019-12-31 | 4th Quarter 2019 |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
The personnel from the PSA Field Offices supervised the data collectors/survey researchers in their respective field offices. In provinces/areas where there were relatively many establishments to be covered, area supervisors were hired to assist the survey researchers/encoders in the supervision of data collection activities as well as the manual and machine processing.
Questionnaires
The 2019 Labor Turnover Survey questionnaire has been designed to capture key labor market trends in the formal sector of the economy.
The comments/suggestions provided by the Standard Service thru the Statistical Survey Review and Clearance System (SSRCS) for the improvement of the questionnaire were incorporated as follows:
a.) Use of boxes when coding the PSGC and PSIC to insure the completeness of the code.
b.) Change Average Total Employment (ATE) to Total Employment (TE).
c.) Add boxes for the 2009 PSIC code.
The questionnaire contained the following information:
1. Name and Address of Establishment
2. Main Economic Activity and Major Products/Goods or Services
3. Item of Information
I. Employment
A. Total Employment ( Month 1, Month 2, Month 3)
II. Labor Turnover
A. Total Accessions (New Hires)
1. Expansion
2. Replacement
B. Total Separation
1. Employee-initiated
1.1 Reason
2. Employer-initiated
2.1 Reason
III. Agency-hired Workers (if any)
a. Total Accessions (New Hires)
b. Total Separations
IV. Existing Job Vacancies at the end of the Quarter
4. Certification of Respondents
5. Survey Personnel
The comments/suggestions provided by the Standard Service thru the Statistical Survey Review and Clearance System (SSRCS) for the improvement of the questionnaire were incorporated as follows:
a.) Use of boxes when coding the PSGC and PSIC to insure the completeness of the code.
b.) Change Average Total Employment (ATE) to Total Employment (TE).
c.) Add boxes for the 2009 PSIC code.
The questionnaire contained the following information:
1. Name and Address of Establishment
2. Main Economic Activity and Major Products/Goods or Services
3. Item of Information
I. Employment
A. Total Employment ( Month 1, Month 2, Month 3)
II. Labor Turnover
A. Total Accessions (New Hires)
1. Expansion
2. Replacement
B. Total Separation
1. Employee-initiated
1.1 Reason
2. Employer-initiated
2.1 Reason
III. Agency-hired Workers (if any)
a. Total Accessions (New Hires)
b. Total Separations
IV. Existing Job Vacancies at the end of the Quarter
4. Certification of Respondents
5. Survey Personnel
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Data editing
Please refer to Field Operations Manual for editing guidelines on consistency checks among item on page 25.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Access conditions
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
(Specific method of requesting and acquiring data shall then be included).
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately be reported to the PSA.
(Specific method of requesting and acquiring data shall then be included).
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the PSA bear no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
Copyrights
(c) 2019, Philippine Statistics Authority
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Knowledge Management and Communications Division | Philippine Statistics Authority | kmcd.staff@psa.gov.ph | www.psa.gov.ph |
| Registers and Database Management Division | Philippine Statistics Authority | rdmd.staff@psa.gov.ph | www.psa.gov.ph |
| Labor Standards and Relations and Employment Demand Statistics Division | Philippine Statistics Authority | edsd@psa.gov.ph, lsrsd@psa.gov.ph | www.psa.gov.ph |