Occupational Wages Survey 2016
Philippines, 2016 - 2017
Reference ID
PHL-PSA-OWS-2016-V2.0
Producer(s)
Philippine Statistics Authority (PSA),, National Economic and Development Authority (NEDA)
Collection(s)
Metadata
Created on
Jun 19, 2023
Last modified
Jun 19, 2023
Page views
7483
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62084
Identification
Title
Occupational Wages Survey 2016
Countries
Name | Abbreviation |
---|---|
Philippines | PHL |
idno
PHL-PSA-OWS-2016-V2.0
Study notes
A. Objectives
To generate statistics for wage and salary administration and for wage determination in collective bargaining negotiations.
B. Uses of Data
Inputs to wage, income, productivity and price policies, wage fixing and collective bargaining; occupational wage rates can be used to measure wage differentials, wage inequality in typical low wage and high wage occupations and for international comparability; industry data on basic pay and allowance can be used to measure wage differentials across industries, for investment decisions and as reference in periodic adjustments of minimum wages.
C. Main Topics Covered
Occupational wage rates
Median basic pay and median allowances of time-rate workers on full-time basis
To generate statistics for wage and salary administration and for wage determination in collective bargaining negotiations.
B. Uses of Data
Inputs to wage, income, productivity and price policies, wage fixing and collective bargaining; occupational wage rates can be used to measure wage differentials, wage inequality in typical low wage and high wage occupations and for international comparability; industry data on basic pay and allowance can be used to measure wage differentials across industries, for investment decisions and as reference in periodic adjustments of minimum wages.
C. Main Topics Covered
Occupational wage rates
Median basic pay and median allowances of time-rate workers on full-time basis
Kind of data
Sample survey data [ssd]
Unit of analysis
The establishment is the statistical or enumeration unit. Each unit is classified in an industry that reflects its main economic activity -- the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.
Version
Version
V2.0: Final dataset for official estimates
Version date
2019-02
Scope
Topics
Topic | Vocabulary | URI |
---|---|---|
Labour | Philippine Statistics Authority |
Coverage
Geographic coverage
National coverage with 18 administrative regions:
- National Capital Region
- Ilocos Region
- Cagayan Valley Region
- Central Luzon
- CALABARZON
- MIMAROPA
- Bicol Region
- Western Visayas Region
- Central Visayas Region
- Eastern Visayas Region
- Zamboanga Peninsula
- Northern Mindanao
- Davao Region
- SOCCSKSARGEN
- Caraga Region
- Cordillera Administrative Region
- ARMM
- Negros Island Region
- National Capital Region
- Ilocos Region
- Cagayan Valley Region
- Central Luzon
- CALABARZON
- MIMAROPA
- Bicol Region
- Western Visayas Region
- Central Visayas Region
- Eastern Visayas Region
- Zamboanga Peninsula
- Northern Mindanao
- Davao Region
- SOCCSKSARGEN
- Caraga Region
- Cordillera Administrative Region
- ARMM
- Negros Island Region
Geographic unit
National Capital Region
Cordillera Administrative Region
Region I - Ilocos Region
Region II- Cagayan Valley
Region III- Central Luzon
Region IVA - CALABARZON
Region IVB - MIMAROPA
Region V - Bicol Region
Region VI - Western Visayas
Region VII - Central Visayas
Region VIII - Eastern Visayas
Region IX - Zamboanga Peninsula
Region X - Northern Mindanao
Region XI - Davao
Region XII - SOCCSKSARGEN
Caraga
Autonomous Region in Muslim Mindanao
Cordillera Administrative Region
Region I - Ilocos Region
Region II- Cagayan Valley
Region III- Central Luzon
Region IVA - CALABARZON
Region IVB - MIMAROPA
Region V - Bicol Region
Region VI - Western Visayas
Region VII - Central Visayas
Region VIII - Eastern Visayas
Region IX - Zamboanga Peninsula
Region X - Northern Mindanao
Region XI - Davao
Region XII - SOCCSKSARGEN
Caraga
Autonomous Region in Muslim Mindanao
Unit of analysis
The establishment is the statistical or enumeration unit. Each unit is classified in an industry that reflects its main economic activity -- the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.
Universe
Covered agricultural and non-agricultural establishments employing 20 or more workers except for central banking, public administration and defense and compulsory social security, public education services, public medical, dental and other health services, activities of membership organizations, activities of households as employers of domestic personnel, undifferentiated goods-and-services-producing activities of households for own use and activities of extra-territorial organizations and bodies.
Producers and sponsors
Funding agencies
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full Funding |
Sampling
Sampling procedure
Statistical unit: The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity--the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.
The sampling frame for the 2016 OWS was extracted from the preliminary 2015 List of Establishments (LE) as of 20 April 2016. This list was a product of the 2015 Updating of List of Establishments (ULE).
Sampling design: The OWS is a sample survey of agricultural and non-agricultural establishments employing 20 persons or more where the survey domain is the industry. All establishments with 100 or more workers were taken with certainty which means that all establishments under employment size strata 100-199 workers and 200 or more workers were automatically included in the survey. The remaining samples were then allocated to the employment size stratum of 20-99 workers.The design does not consider the region as a domain to allow for detailed industry groupings.
Sample size: For 2016 OWS, the number of establishments covered is 12,926, of which 11,319 were eligible units.
Note: For complete Survey Design, refer to Field Operations Manual Chapter 1 Section 1.5.4 - 1.5.6
The sampling frame for the 2016 OWS was extracted from the preliminary 2015 List of Establishments (LE) as of 20 April 2016. This list was a product of the 2015 Updating of List of Establishments (ULE).
Sampling design: The OWS is a sample survey of agricultural and non-agricultural establishments employing 20 persons or more where the survey domain is the industry. All establishments with 100 or more workers were taken with certainty which means that all establishments under employment size strata 100-199 workers and 200 or more workers were automatically included in the survey. The remaining samples were then allocated to the employment size stratum of 20-99 workers.The design does not consider the region as a domain to allow for detailed industry groupings.
Sample size: For 2016 OWS, the number of establishments covered is 12,926, of which 11,319 were eligible units.
Note: For complete Survey Design, refer to Field Operations Manual Chapter 1 Section 1.5.4 - 1.5.6
Deviations from sample design
Not all of the fielded questionnaires are retrieved. During data collection, there are reports of permanent closures, non-location, duplicate listing and shifts in industry and employment outside the survey coverage. Establishments that fall in these categories are not eligible elements of the frame and their count is not considered in the estimation. Non-responding eligible units are made up of refusals, strikes or temporary closures, and those establishments whose questionnaires contain inconsistent item responses and have not replied to the verification queries by the time output table generation commences.
Response rate
The response rate in terms of eligible units was 87.2%.
Weighting
Not all of the fielded questionnaires are accomplished. During data collection, there are reports of permanent closures, non-location, duplicate listing and shifts in industry and employment outside the survey coverage. Establishments that fall in these categories are not eligible elements of the frame and their count is not considered in the estimation. Non-respondents are made up of refusals, strikes or temporary closures, and those establishments whose questionnaires contain inconsistent item responses and have not replied to the verification queries by the time output table generation commences.
Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications.
Sample values of basic pay and allowances for the monitored occupations whose basis of payment is an hour or a day are converted into a standard monthly equivalent, assuming 313 working days and 8 hours per day. (Daily rate x 26.08333; Hourly rate x 208.66667)
Estimates are obtained by simple expansion, i.e. by multiplying the sample values at the cell level (industry and employment size) by the corresponding blowing-up factor which is the ratio of the estimated population of establishments to the number of responding establishments. These estimates are then aggregated to the desired totals.
Dividing the estimated total basic pay (or total allowances) in each occupation by the corresponding estimate of time-rate workers on full-time basis results to the average monthly basic pay or average monthly allowances as the case may be. The monthly average basic pay and monthly average allowances are then summed up to provide the average monthly wage rates by occupation.
The median monthly basic pay is computed from the estimated distribution of workers by monthly basic pay. On the other hand, the median monthly allowance is computed only for those workers reported with allowances.
A 95% level of reliability of survey estimates of average occupational wage rates is desired. These are to be assessed through their coefficients of variation (CVs).
Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications.
Sample values of basic pay and allowances for the monitored occupations whose basis of payment is an hour or a day are converted into a standard monthly equivalent, assuming 313 working days and 8 hours per day. (Daily rate x 26.08333; Hourly rate x 208.66667)
Estimates are obtained by simple expansion, i.e. by multiplying the sample values at the cell level (industry and employment size) by the corresponding blowing-up factor which is the ratio of the estimated population of establishments to the number of responding establishments. These estimates are then aggregated to the desired totals.
Dividing the estimated total basic pay (or total allowances) in each occupation by the corresponding estimate of time-rate workers on full-time basis results to the average monthly basic pay or average monthly allowances as the case may be. The monthly average basic pay and monthly average allowances are then summed up to provide the average monthly wage rates by occupation.
The median monthly basic pay is computed from the estimated distribution of workers by monthly basic pay. On the other hand, the median monthly allowance is computed only for those workers reported with allowances.
A 95% level of reliability of survey estimates of average occupational wage rates is desired. These are to be assessed through their coefficients of variation (CVs).
Data Collection
Dates of collection
Start | End | Cycle |
---|---|---|
2016-09-01 | 2017-04-28 |
Time period(s)
Start | End | Cycle |
---|---|---|
2016-07-31 |
Mode of data collection
Self-administered,Face-to-face [f2f] and Mailed
Data collection supervision
The personnel from the PSA Field Offices supervised the data collectors/enumerators in their respective regions. In provinces/areas where there were relatively many establishments to be covered, area supervisors were hired to assist the regional staff in the supervision of data collection activities.
Note: Refer to Field Operations Manual Chapter 3 Section 3.2.
Note: Refer to Field Operations Manual Chapter 3 Section 3.2.
Questionnaires
The questionnaire contains the following sections:
Cover Page (Page 1)
This contains the address box, contact particulars for assistance, spaces for changes in the name and location of sample establishment and head office information in case the questionnaire is endorsed to it and status codes of the establishment to be accomplished by PSA and its field personnel.
Survey Information (Page 2)
This contains the survey objective and uses of the data, scope of the survey, confidentiality clause, collection authority, authorized field personnel, coverage, periodicity and reference period, due date for accomplishment and expected date when the results of the 2016 OWS would be available.
Part A: General Information (Page 3)
This portion inquires on main economic activity, major products/goods or services and total employment.
Part B: Employment and Wage Rates of Time-Rated Workers on Full-Time Basis (Pages 4-5)
This section requires data on the number of time-rate workers on full-time basis by time unit and by basic pay and allowance intervals.
Part C: Employment and Wage Rates of Time-Rated Workers on Full-Time Basis in Selected Occupations (Pages 6-9)
This part inquires on the basic pay and allowance per time unit and corresponding number of workers in the two benchmark occupations and in the pre-determined occupations listed in the occupational sheet to be provided to the establishment where applicable.
Part D: Certification (Page 10)
This portion is provided for the respondent's name/signature, position, telephone no., fax no. and e-mail address and time spent in answering the questionnaire.
Appropriate spaces are also provided to elicit comments on data provided for the 2016 OWS; results of the 2014 OWS; and presentation/packaging, particularly on the definition of terms, layout, font and color.
Part E: Survey Personnel (Page 10)
This portion is for the particulars of the enumerators and area/regional supervisors and reviewers at the PSA Central Office and PSA Field Offices involved in the data collection and review of questionnaire entries.
Part F: Industries With Selected Occupations (Page 11)
The list of industries for occupational wage monitoring has been provided to guide the enumerators in ensuring that the correct occupational sheet has been furnished to the respondent.
Selected Statistics from 2014 OWS (Page 12)
The results of the 2014 OWS are found on page 12 of the questionnaire. These results can serve as a guide to the survey personnel in editing/review of the entries in the questionnaire.
Note: Refer to Questionnaire and Field Operations Manual for the List of Monitored Occupations.
Cover Page (Page 1)
This contains the address box, contact particulars for assistance, spaces for changes in the name and location of sample establishment and head office information in case the questionnaire is endorsed to it and status codes of the establishment to be accomplished by PSA and its field personnel.
Survey Information (Page 2)
This contains the survey objective and uses of the data, scope of the survey, confidentiality clause, collection authority, authorized field personnel, coverage, periodicity and reference period, due date for accomplishment and expected date when the results of the 2016 OWS would be available.
Part A: General Information (Page 3)
This portion inquires on main economic activity, major products/goods or services and total employment.
Part B: Employment and Wage Rates of Time-Rated Workers on Full-Time Basis (Pages 4-5)
This section requires data on the number of time-rate workers on full-time basis by time unit and by basic pay and allowance intervals.
Part C: Employment and Wage Rates of Time-Rated Workers on Full-Time Basis in Selected Occupations (Pages 6-9)
This part inquires on the basic pay and allowance per time unit and corresponding number of workers in the two benchmark occupations and in the pre-determined occupations listed in the occupational sheet to be provided to the establishment where applicable.
Part D: Certification (Page 10)
This portion is provided for the respondent's name/signature, position, telephone no., fax no. and e-mail address and time spent in answering the questionnaire.
Appropriate spaces are also provided to elicit comments on data provided for the 2016 OWS; results of the 2014 OWS; and presentation/packaging, particularly on the definition of terms, layout, font and color.
Part E: Survey Personnel (Page 10)
This portion is for the particulars of the enumerators and area/regional supervisors and reviewers at the PSA Central Office and PSA Field Offices involved in the data collection and review of questionnaire entries.
Part F: Industries With Selected Occupations (Page 11)
The list of industries for occupational wage monitoring has been provided to guide the enumerators in ensuring that the correct occupational sheet has been furnished to the respondent.
Selected Statistics from 2014 OWS (Page 12)
The results of the 2014 OWS are found on page 12 of the questionnaire. These results can serve as a guide to the survey personnel in editing/review of the entries in the questionnaire.
Note: Refer to Questionnaire and Field Operations Manual for the List of Monitored Occupations.
Data collector(s)
Name | Abbreviation | Affiliation |
---|---|---|
PSA Field Offices , Philippine Statistics Authority |
Data Processing
Data editing
Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors.
The LSRSD personnel undertake the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification, personally or through mail.
Note: Refer to Field Operations Manual Chapter 1 Section 1.9
The LSRSD personnel undertake the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification, personally or through mail.
Note: Refer to Field Operations Manual Chapter 1 Section 1.9
Data Appraisal
Other forms of data appraisal
The survey results are checked for consistency with the results of previous OWS data and the minimum wage rates corresponding to the reference period of the survey.
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 bears 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) 2016, Philippine Statistics Authority.
contacts
Contact(s)
Name | Affiliation | URI | |
---|---|---|---|
Knowledge Management and Communications Division | Philippine Statistics Authority | kmcd@psa.gov.ph | www.psa.gov.ph |
Chief Statistical Specialist, Labor Standards and Relations Statistics Division | Philippine Statistics Authority | lsrsd.staff@psa.gov.ph | www.psa.gov.ph |