Abstract

The STEP Measurement program is the first ever initiative to generate internationally comparable data on skills available in developing countries. The program implements standardized surveys to gather information on the supply and distribution of skills and the demand for skills in labor market of low-income countries.

The uniquely-designed Household Survey includes modules that measure the cognitive skills (reading, writing and numeracy), socio-emotional skills (personality, behavior and preferences) and job-specific skills (subset of transversal skills with direct job relevance) of a representative sample of adults aged 15 to 64 living in urban areas, whether they work or not. The cognitive skills module also incorporates a direct assessment of reading literacy based on the Survey of Adults Skills instruments. Modules also gather information about family, health and language.

Geographic coverage

The STEP survey was limited to the Urban Areas.

Analysis unit

The units of analysis are the individual respondents and households. A household roster is undertaken at the start of the survey and the individual respondent is randomly selected among all household members aged 15 to 64 included. The random selection process was designed by the STEP team and compliance with the procedure is carefully monitored during fieldwork.

Universe

The target population is defined as all non-institutionalized persons aged 15 to 64 (inclusive) living in private dwellings in the urban areas of the country at the time of the data collection. This includes all residents, except foreign diplomats and non-nationals working for international organizations.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Philippines sample design is a 4-stage sample design. There was no explicit stratification but the sample is implicitly stratified by Urban Region. Implicit stratification was achieved by sorting the PSUs by Urban Region and selecting a systematic sample of PSUs.

• First Stage Sample: The primary sample unit (PSU) is a Barangay Segment. The first stage units were selected by the World Bank Survey Methodologist. Each PSU is uniquely defined by the sample frame variable ‘SEG#_BGY’, i.e., the Segment ID# within a Barangay. The sampling objective was to conduct interviews in 200 PSUs. In addition, 25 extra PSUs were selected for use in case it was impossible to conduct any interviews in one or more initially selected PSUs. (N.B. None of the 25 extra PSUs were required to be activated.)

• Second Stage Sample: The second stage sample unit (SSU) is a dwelling. The sampling objective was to obtain interviews at 15 dwellings within each selected PSU. The dwellings were selected in each PSU using a systematic random method.

• Third Stage Sample: The third stage sample unit is a household. The sampling objective is to select one household within each selected dwelling. The households are randomly selected with equal probability in each PSU. N.B. The Philippines firm indicated that all selected dwellings contained one household, i.e., there were no multiple household dwellings in the STEP sample.

• Fourth Stage Sample: The third stage sample unit was an individual aged 15-64 (inclusive). The sampling objective was to select one individual with equal probability from each selected household.

SAMPLE SIZE

The Philippines firm’s sampling objective is to obtain interviews from 3000 individuals in the urban areas of Philippines.

Mode of data collection

Face-to-face [f2f]

Research instrument

The STEP survey instruments include:

• Background Questionnaire developed by the WB STEP team

• Reading Literacy Assessment developed by Educational Testing Services (ETS).

All countries adapted and translated both instruments following the STEP Technical Standards: 2 independent translators adapted and translated the Background Questionnaire and Reading Literacy Assessment, while reconciliation was carried out by a third translator. The WB STEP team and ETS collaborated closely with the survey firms during the process and reviewed the adaptation and translation (using a back translation).

Cleaning operations

STEP Data Management Process:

1. Raw data is sent by the survey firm. All coding and scoring (of the Reading Literacy Assessment booklets) is carried out by the survey firms, following STEP Technical Standards. Training was provided to the survey firms at the start of the project.

2. The WB STEP team runs data checks on the Background Questionnaire data. ETS runs data checks on the Reading Literacy Assessment data. Comments and questions are sent back to the survey firm.

3. The survey firm reviews comments and questions. When a data entry error is identified, the survey firm corrects the data.

4. The WB STEP team and ETS check the data files are clean. This might require additional iterations with the survey firm.

5. Once the data has been checked and cleaned, the WB STEP team computes the weights. Weights are computed by the STEP team to ensure consistency across sampling methodologies.

6. ETS scales the Reading Literacy Assessment data.

7. The WB STEP team merges the Background Questionnaire data with the Reading Literacy Assessment data and computes derived variables. Detailed information data processing in STEP surveys is provided in the "Guidelines for STEP Data Entry Programs", provided as an external resource.

Response rate

An overall response rate of 94.8% was achieved in the Philippines STEP Survey.

Sampling error estimates

A weighting documentation was prepared for each participating country and provides some information on sampling errors. All country weighting documentations are provided as an external resource.

Abstract

The Labor Force Survey (LFS) aims to provide a quantitative framework for the preparation of plans and formulation of policies affecting the labor market. Specifically, the survey is designed to provide statistics on levels and trends of employment, unemployment and underemployment for the country, as a whole, and for each of the administrative regions, including provinces and key cities.

Geographic coverage

National

Analysis unit

Individuals

Universe

Individuals 15 years and over.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the Labor Force Survey (LFS) uses the sampling design of the 2003 Master Sample (MS) for Household Surveys that started July 2003.

Sampling Frame

As in most household surveys, the 2003 MS used an area sample design. The Enumeration Area Reference File (EARF) of the 2000 Census of Population and Housing (CPH) was utilized as sampling frame. The EARF contains the number of households by enumeration area (EA) in each barangay. This frame was used to form the primary sampling units (PSUs). With consideration of the period for which the 2003 MS will be in use, the PSUs were formed/defined as a barangay or a combination of barangays with at least 500 households.

Stratification Scheme

Startification involves the division of the entire population into non-overlapping subgroups called starta. Prior to sample selection, the PSUs in each domain were stratified as follows: 1) All large PSUs were treated as separate strata and were referred to as certainty selections (self-representing PSUs). A PSU was considered large if it has a large probability of selection. 2) All other PSUs were then stratified by province, highly urbanized city (HUC) and independent component city (ICC). 3) Within each province/HUC/ICC, the PSUs were further stratified or grouped with respect to some socio-economic variables that were related to poverty incidence. These variables were: (a) the proportion of strongly built houses (PSTRONG); (b) an indication of the proportion of households engaged in agriculture (AGRI); and (c) the per-capita income (PERCAPITA).

Sample Selection

To have some control over the subsample size, the PSUs were selected with probability proportional to some estimated measure of size. The size measure refers to the total number of households from the 2000 CPH. Because of the wide variation in PSU sizes, PSUs with selection probabilities greater than 1 were identified and were included in the sample as certainty selections.

At the second stage, enumeration areas (EAs) were selected within sampled PSUs, and at the third stage, housing units were selected within sampled EAs. Generally, all households in sampled housing units were enumerated, except for few cases when the number of households in a housing unit exceeds three. In which case, a sample of three households in a sampled housing unit was selected at random with equal probability.

An EA is defined as an area with discernable boundaries within barangays, consisting of about 150 contiguous households. These EAs were identified during the 2000 CPH. A housing unit is a structurally separate and independent place of abode which, by the way it has been constructed, converted, or arranged, is intended for habitation by a household

Sample Size

The 2003 Master Sample consist of a sample of 2,835 PSUs of which 330 were certainty PSUs and 2,505 were non certainty PSUs. The number of households for the 2000 CPH was used as measure of size. The entire MS was divided into four sub-samples or independent replicates, such as a quarter sample contains one fourth of the PSUs found in one replicate; a half-sample contains one-half of the PSUs in two replicates. Thus, the survey covers a nationwide sample of about 51,000 households deemed sufficient to measure the levels of employment and unemployment at the national and regional levels.

Strategy for non-response

Replacement of sample households within the sample housing units is allowed only if the listed sample households had moved out of the housing unit. Replacement should be the household currently residing in the sample housing unit previously occupied by the original sample.

Sampling deviation

Starting the July 2003 round of the Labor Force Survey, the generation of the labor force and employment statistics adopted the 2003 Master Sample Design. - Using this new master sample design, the number of samples increased from 41,000 to around 51,000 sample households.

• The province of Basilan is grouped under Autonomous Region in Muslim Mindanao while Isabela City (Basilan) is now grouped under Region IX. This is to adopt the regional grouping under Executive Order No.36.
• The 1992 four-digit code for Philippine Standard Occupational Classification (PSOC) and 1994 Philippine Standard Industry Classification (PSIC) were used in classifying the occupation and industry.

Mode of data collection

Face-to-face [f2f]

Philippines Employment: Wage & Salary Workers: With Pay in Own Family Business data was reported at 211.000 Person th in Feb 2025. This records an increase from the previous number of 106.000 Person th for Jan 2025. Philippines Employment: Wage & Salary Workers: With Pay in Own Family Business data is updated monthly, averaging 160.500 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 312.000 Person th in Nov 2022 and a record low of 76.000 Person th in Dec 2024. Philippines Employment: Wage & Salary Workers: With Pay in Own Family Business data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G025: Labour Force Survey: Employment: by Industry, Occupation and Class.

Philippines Employment: Wage & Salary Workers: Private Household data was reported at 1,922.000 Person th in Apr 2018. This records an increase from the previous number of 1,916.000 Person th for Jan 2018. Philippines Employment: Wage & Salary Workers: Private Household data is updated quarterly, averaging 1,871.000 Person th from Jul 2003 (Median) to Apr 2018, with 60 observations. The data reached an all-time high of 2,286.000 Person th in Jan 2016 and a record low of 1,336.000 Person th in Apr 2004. Philippines Employment: Wage & Salary Workers: Private Household data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G010: Labour Force Survey: Employment: By Industry, Occupation and Class.

Philippines Employment: Wage & Salary Workers: With Pay, Family Business data was reported at 111.000 Person th in Oct 2018. This records a decrease from the previous number of 128.000 Person th for Jul 2018. Philippines Employment: Wage & Salary Workers: With Pay, Family Business data is updated quarterly, averaging 118.000 Person th from Jul 2003 (Median) to Oct 2018, with 62 observations. The data reached an all-time high of 217.000 Person th in Jul 2003 and a record low of 74.000 Person th in Apr 2011. Philippines Employment: Wage & Salary Workers: With Pay, Family Business data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G013: Labour Force Survey: Employment: by Industry, Occupation and Class.

Abstract

The Philippines COVID-19 Households Survey represents an important part of the World Bank’s real time monitoring of COVID-19 impacts along with firm and community surveys. It aims to assess the impact of the pandemic on households’ food security and welfare, their coping strategies, education, socio-emotional state, and public policy responses. A survey firm carried out phone surveys (based on a sample frame that the firm has maintained) and self-administered web surveys facilitated by Telecommunication Firms’ (Telcos) text blasts and social media advertisement campaigns distributing the web link to the survey questions. The survey instrument and procedures have been designed in accordance with the best practices laid out by the World Bank’s COVID-19 methodology and measurement task force. The average length of the survey was 30-40 minutes and were rolled out during key periods at the course of the pandemic.

Geographic coverage

National

Analysis unit

Household, individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

The mixed method combining both phone and web-based surveys was employed to ensure coverage of individuals from different socio-economic backgrounds. In the self-administered online survey (CAWI), respondents received notifications through text blast and social media ads. The text blast was coordinated by the National Economic Development Authority through the National Telecommunications Commission. In the other hand, the phone survey (CATI) specifically targeted to lower income households from an existing list of the partner survey firm with a target sample of 3,000 respondents.

Sampling deviation

In rounds 2 and 3, the survey was limited to phone interviews (CATI) from the panel of 5,049 respondents in round 1. Target number of respondents was 3,000.

The team decided to simplify the methodology in the succeeding rounds due to resource constraints.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire had core modules that were collected in each round and additional modules on focus topics. Following are the topics covered: 1) Demographics and housing characteristics (round 1) 2) Knowledge of COVID-19: awareness and behavior (round 1) 3) Government action (rounds 1, 2) 4) Access to transportation (rounds 1, 2) 5) Access to food (rounds 1, 2) 6) Access to health services (rounds 1, 2) 7) Access to education (rounds 1) 8) Access to finances (rounds 1) 9) Employment and income sources (rounds 1) 10) Coping mechanisms and safety nets (rounds 1)

Cleaning operations

Initial data cleaning was done by the survey firm in close coordination with the World Bank team. Consistency checks and formatting was done further by the World Bank team during the analysis of the data.

Response rate

Following were the final sample for each round: Round 1 - 9,448 Round 2 - 1,805 Round 3 - 2,122

Philippines HWPW: Reason: w/ Job, Not at Work: < 40 Hrs: Personal/Family Reasons data was reported at 32.000 Person th in Jul 2020. This records an increase from the previous number of 12.000 Person th for Apr 2020. Philippines HWPW: Reason: w/ Job, Not at Work: < 40 Hrs: Personal/Family Reasons data is updated quarterly, averaging 22.000 Person th from Apr 2020 (Median) to Jul 2020, with 2 observations. The data reached an all-time high of 32.000 Person th in Jul 2020 and a record low of 12.000 Person th in Apr 2020. Philippines HWPW: Reason: w/ Job, Not at Work: < 40 Hrs: Personal/Family Reasons data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G019: Labour Force Survey: Employment: Hours Worked Per Week: by Reasons of Working.

Philippines Employment: Unpaid Family Workers data was reported at 2,167.000 Person th in Apr 2018. This records a decrease from the previous number of 2,893.000 Person th for Jan 2018. Philippines Employment: Unpaid Family Workers data is updated quarterly, averaging 3,934.000 Person th from Jul 2003 (Median) to Apr 2018, with 60 observations. The data reached an all-time high of 4,795.000 Person th in Oct 2011 and a record low of 2,093.000 Person th in Jul 2017. Philippines Employment: Unpaid Family Workers data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G010: Labour Force Survey: Employment: By Industry, Occupation and Class.

Abstract

The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation).

The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices.

Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact.

More info is available on the official website: https://lis.unhcr.org

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling was conducted by each participating operations based on general sampling guidance provided as the following: - At least 100 randomly selected beneficiaries for each project - Representativeness of sub-groups (gender, camp, etc.) should be kept as much as possible - Baseline and endline beneficiaries should be the same

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaire contains the following sections: - partner information - general information on beneficiary - agriculture - self-employment - wage-employment

Philippines HWPW: Reason: Worked < 40 Hrs: < 40 Hrs: Personal/Family Reasons data was reported at 838.000 Person th in Jul 2020. This records an increase from the previous number of 281.000 Person th for Apr 2020. Philippines HWPW: Reason: Worked < 40 Hrs: < 40 Hrs: Personal/Family Reasons data is updated quarterly, averaging 559.500 Person th from Apr 2020 (Median) to Jul 2020, with 2 observations. The data reached an all-time high of 838.000 Person th in Jul 2020 and a record low of 281.000 Person th in Apr 2020. Philippines HWPW: Reason: Worked < 40 Hrs: < 40 Hrs: Personal/Family Reasons data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G019: Labour Force Survey: Employment: Hours Worked Per Week: by Reasons of Working.

Philippines HWPW: Reason: < 40 Hrs: Personal/Family Reasons data was reported at 870.000 Person th in Jul 2020. This records an increase from the previous number of 293.000 Person th for Apr 2020. Philippines HWPW: Reason: < 40 Hrs: Personal/Family Reasons data is updated quarterly, averaging 581.500 Person th from Apr 2020 (Median) to Jul 2020, with 2 observations. The data reached an all-time high of 870.000 Person th in Jul 2020 and a record low of 293.000 Person th in Apr 2020. Philippines HWPW: Reason: < 40 Hrs: Personal/Family Reasons data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G019: Labour Force Survey: Employment: Hours Worked Per Week: by Reasons of Working.

According to a survey conducted in the Philippines, 64 percent of households had a member who lost their job due to the enhanced community quarantine (ECQ), that was implemented in the country on March 16, 2020, because of the coronavirus COVID-19 pandemic. On the other hand, 36 percent of the surveyed respondents stated that none of their household members were effected.

A survey conducted on work productivity found that more than half of the respondents in the Philippines were working fully from the office in January 2022. In comparison, ** percent of respondents were working fully from home.

The Social Weather Stations Surveys were designed to provide a source of data on Philippine economic and social conditions independent from Philippine governmental statistics. These quarterly surveys cover the entire Philippines with four major geographic study areas: National Capital Region (NCR), Balance Luzon (areas outside of NCR but within Luzon), Visayas, and Mindanao. Adults, aged 18 and older, are asked through face-to-face interviews for their views on issues concerning the general topics of economics, governance, politics, diplomacy, and society, as well as issues of current public interest in the Philippines. The survey also gathers information from household heads about the members of the household and household characteristics. The Social Weather Stations Survey for the third quarter of 1995 was conducted from September 18 to October 21, 1995. Questions on economic issues probed for respondents' feelings about and personal encounters with poverty as well as their views on quality of life trends, taxation, fiscal policies, and personal investments. Questions about governance included ratings of political personalities, assessment of the current administration and government institutions, nuclear testing, presidential and senatorial performance, term limits, memories of President Ferdinand Marcos and martial law, and political party interaction. Questions on diplomacy elicited respondents' views on external security and foreign relations, while societal topics covered the state of the family, agrarian reform, education reform, women's rights, abortion, personal safety, air travel experience, use of iodized salt, and computer use. Background information on respondents includes age, sex, political party, marital status, employment status, education, household composition, home ownership, religion, and household spending patterns.

The Social Weather Stations Surveys were designed to provide a source of data on Philippine economic and social conditions independent from Philippine governmental statistics. These quarterly surveys cover the entire Philippines with four major geographic study areas: National Capital Region (NCR), Balance Luzon (areas outside of NCR but within Luzon), Visayas, and Mindanao. Adults, aged 18 and older, are asked through face-to-face interviews for their views on issues concerning the general topics of economics, governance, politics, diplomacy, and society, as well as issues of current public interest in the Philippines. The survey also gathers information from household heads about the members of the household and household characteristics. The Social Weather Stations Survey for the fourth quarter of 1995 was conducted from November 22 to December 22, 1995. Questions on economic issues probed for respondents' feelings about encounters with poverty as well as their views on quality of life trends, taxation, and fiscal policies. Questions about governance included ratings of political personalities, the government's ability to fight graft and corruption, presidential and senatorial performance, constitutional amendments, the defection of General Raymundo Jarque, and the legal case of Sarah Balabagan. Questions on diplomacy elicited respondents' views on external military threats, foreign relations, national security threats, the United States' military presence in Asia, the Asia Pacific Economic Cooperation (APEC), and the September 1995 Beijing Conference. Societal topics covered the state of the family, agrarian reform, tourism programs, environmental concerns, family planning services, personal safety, television censorship, and the construction of the Centennial Tower. Background information on respondents includes age, sex, political party, marital status, employment status, education, household composition, home ownership, household spending patterns, and language used in the home.

The Social Weather Stations Surveys were designed to provide a source of data on Philippine economic and social conditions independent from Philippine governmental statistics. These quarterly surveys cover the entire Philippines with four major geographic study areas: National Capital Region (NCR), Balance Luzon (areas outside of NCR but within Luzon), Visayas, and Mindanao. Adults, aged 18 and older, are asked through face-to-face interviews for their views on issues concerning the general topics of economics, governance, politics, diplomacy, and society, as well as issues of current public interest in the Philippines. The survey also gathers information from household heads about the members of the household and household characteristics. The Social Weather Stations Survey for the first quarter of 1995 was conducted from March 18 to April 11, 1995. Questions on economic issues probed for respondents' feelings about and personal encounters with poverty, as well as their views on quality of life trends and taxation and fiscal policies. Questions about governance included ratings of political personalities, the government's ability to fight graft and corruption, and presidential and senatorial performance. A series of questions about politics asked respondents about their voting behavior history, national unity, and how democracy works. Questions on diplomacy elicited respondents' views on external security and foreign relations. Societal topics covered the state of the family, agrarian reform, and language. Background information on respondents includes age, sex, political party, marital status, employment status, education, household composition, home ownership, health insurance coverage, and household spending patterns.

HWPW：原因：w/ Job, Not at Work：< 40 Hrs：Personal/Family Reasons在07-01-2020达32.000千人，相较于04-01-2020的12.000千人有所增长。HWPW：原因：w/ Job, Not at Work：< 40 Hrs：Personal/Family Reasons数据按季更新，04-01-2020至07-01-2020期间平均值为22.000千人，共2份观测结果。该数据的历史最高值出现于07-01-2020，达32.000千人，而历史最低值则出现于04-01-2020，为12.000千人。CEIC提供的HWPW：原因：w/ Job, Not at Work：< 40 Hrs：Personal/Family Reasons数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – 表 PH.G019：劳动力调查：就业：每周工作小时数：by Reasons of Working。

就业：工薪工作者：私人家庭在04-01-2018达1,922.000千人，相较于01-01-2018的1,916.000千人有所增长。就业：工薪工作者：私人家庭数据按季更新，07-01-2003至04-01-2018期间平均值为1,871.000千人，共60份观测结果。该数据的历史最高值出现于01-01-2016，达2,286.000千人，而历史最低值则出现于04-01-2004，为1,336.000千人。CEIC提供的就业：工薪工作者：私人家庭数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于Global Database的菲律宾 – 表 PH.G010：劳动力调查：就业：按行业、职业及阶级分类。

就业：无偿家庭工人在04-01-2018达2,167.000千人，相较于01-01-2018的2,893.000千人有所下降。就业：无偿家庭工人数据按季更新，07-01-2003至04-01-2018期间平均值为3,934.000千人，共60份观测结果。该数据的历史最高值出现于10-01-2011，达4,795.000千人，而历史最低值则出现于07-01-2017，为2,093.000千人。CEIC提供的就业：无偿家庭工人数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于Global Database的菲律宾 – 表 PH.G010：劳动力调查：就业：按行业、职业及阶级分类。

HWPW：原因：< 40 Hrs：Personal/Family Reasons在07-01-2020达870.000千人，相较于04-01-2020的293.000千人有所增长。HWPW：原因：< 40 Hrs：Personal/Family Reasons数据按季更新，04-01-2020至07-01-2020期间平均值为581.500千人，共2份观测结果。该数据的历史最高值出现于07-01-2020，达870.000千人，而历史最低值则出现于04-01-2020，为293.000千人。CEIC提供的HWPW：原因：< 40 Hrs：Personal/Family Reasons数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – 表 PH.G019：劳动力调查：就业：每周工作小时数：by Reasons of Working。