In 2021, there were over *** thousand female government personnel in the Philippines. This was compared to about ***** thousand male government personnel. To qualify for a government position, applicants must pass the Civil Service Examination.

Philippines Employment: Wage & Salary Workers: Government data was reported at 3,688.000 Person th in Jul 2018. This records an increase from the previous number of 3,452.000 Person th for Apr 2018. Philippines Employment: Wage & Salary Workers: Government data is updated quarterly, averaging 2,952.000 Person th from Jul 2003 (Median) to Jul 2018, with 61 observations. The data reached an all-time high of 3,688.000 Person th in Jul 2018 and a record low of 2,269.000 Person th in Oct 2003. Philippines Employment: Wage & Salary Workers: Government 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.

This scatter chart displays self-employed workers (% of total employment) against central government debt (% of GDP) in Philippines. The data is about countries per year.

Abstract

The Occupational Wages Survey (OWS) generates statistics for wage and salary administration and for wage determination in collective bargaining negotiations. This nationwide biennial survey covers establishments employing at least 20 workers.

The OWS is one of the designated statistical activities in E.O. 352 (s.1996) that designates those critical for decision making by the government and the private sector. Moreover, the data category average monthly occupational wage rates in selected occupation is among those listed by the Philippine government under the Special Data Dissemination Standard (SDDS) of the International Monetary Fund. The SDDS serves as reference to member countries in the dissemination of economic and financial data to the public.

Geographic coverage

National coverage, 17 administrative regions

Analysis unit

Establishment

Universe

The survey covers agricultural and non-agricultural establishments employing 20 or more workers except 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.

Pre-determined industries for wage monitoring now total to 50 due to the inclusion of agriculture, forestry and fishery; and the splitting and merging of original domains with the adoption of the 2009 PSIC.

Inclusion of new domains: - Crop and Animal Production, Hunting and Related Service Activities; Forestry and Logging (A01/A02) - Fishing and Aquaculture (A03) - Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparation (C21)

Splitting of original domains: - Publishing and Printing (D221/D222/D223 of 1994 PSIC as amended) into Printing and Reproduction of Recorded Media (C18); and Publishing Activities (J58) - Supporting and Auxiliary Transport Activities; Activities of Travel Agencies (I63 of 1994 PSIC as amended) into Warehousing and Support Activities for Transportation (H52); and Travel Agency, Tour Operator, Reservation Service and Related Activities (N79)

Merging of original domains: - Banking Institutions except Central Banking (J65 excl. J6510 of 1994 PSIC as amended) and Non-Bank Financial Intermediation (J66 of 1994 PSIC as amended) into Financial Service Activities except Insurance, Pension Funding and Central Banking (K64 excl. K6411)

Kind of data

Sample survey data [ssd]

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.

Survey universe/Sampling frame: The 2014 BLES Survey Sampling Frame (2014 SSF) is an integrated list of establishments culled from the updated 2012 BLES Survey Sampling Frame based on the status of establishments reported in the 2011/2012 BLES Integrated Survey (BITS) and 2012 Occupational Wages Survey (OWS). Other sources were Lists of Establishments from the National Statistics Office (2012), DOLE Regional Office IV-B,and the BLES Job Displacement Monitoring System (JDMS).

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. Those establishments employing at least 200 persons are covered with certainty and the rest are sampled (stratified random sampling). The design does not consider the region as a domain to allow for detailed industry groupings.

Sample size: For 2014 OWS, the number of establishments covered was 8,399, of which, 6,595 were eligible units.

Mode of data collection

Other [oth]

Research instrument

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 2014 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-Rate 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-Rate 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 2014 OWS; results of the 2012 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 2012 OWS (Page 12) The results of the 2012 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.

Cleaning operations

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.

Response rate

The response rate in terms of eligible units was 87.2%.

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.

Average wage rates of unskilled workers by region is compared for proximity with the corresponding minimum wage rates during the survey reference period.

Abstract

The Survey on Overseas Filipinos (SOF) was conducted as a rider to the October 2008 Labor Force Survey (LFS).

The survey was designed to gather national estimates on the number of overseas workers, their socio economic characteristics and other information pertaining to the overseas workers who worked or have worked abroad from April to September 2008. The remittances of the Overseas Filipino Workers (OFWs) in cash or in kind were also accounted for the specified reference period. The SOF data are useful inputs to government planners, migrant advocates, researchers, academes, concerned citizens, and other data users to the formulation of policies and programs for the welfare of the overseas Filipino.

Geographic coverage

The geographic coverage consists of the country's 17 administrative regions defined in Executive Order (EO) 36 and 131. The 17 regions are:

National Capital Region (NCR) Cordillera Administrative Region (CAR) Region I - Ilocos Region Region II - Cagayan Valley Region III - Central Luzon Region IV-A - CALABARZON Region IV-B - 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 Region XII - SOCCSKSARGEN Caraga Autonomous Region in Muslim Mindanao (ARMM)

Analysis unit

Individuals

Universe

Overseas Filipinos whose departure occured within the last five years and who are working or had worked abroad during the past six months (April to September) of the survey period.

For purposes of this survey, overseas workers are the following:

Filipino overseas contract workers (OCW) who are presently and temporarily out of the country to fulfill an overseas work contract for a specific length of time or who are presently at home on vacation but still has an existing contract to work abroad. They may be landbased or seabased.

Landbased workers ? these are overseas contract workers who are hired either by direct hiring of an employer abroad; or through the assistance of Philippine Overseas Employment Administration (POEA); or through a private and licensed recruitment agency. They may have returned to the Philippines for a vacation (annual or emergency leave), or have transferred to other employers, or were rehired by their former employer.

Seabased workers ? these are overseas contract workers who worked or are working in any kind of international fishing/passenger/cargo vessels. Included also are OCWs who worked or are working for a shipping company abroad.

Other Filipino workers abroad with a valid working visa or work permits. Included also are crew members of airplanes such as pilots, stewards, stewardesses, etc. example: Filipinos working in countries such as U.S., Taiwan, Saipan, etc. with a working visa.

Filipinos abroad who are holders of other types of non-immigrant visa such as tourist/visitor, student, medical and others but are presently employed and working full time.

Persons not considered as overseas workers are:

Filipinos whose place of employment is outside the Philippines but whose employer is the Philippine government. Examples are Filipinos who worked or are working in Philippine embassies, missions and consulates abroad.

Filipinos who are sent abroad by the Philippine government or by private institutes for training, scholarship or any other similar purpose, even if they are known to be working abroad. Note that students who are sent abroad by private individual who are working or had worked there are excluded in this category.

Filipinos working in other countries who are hired as consultants/advisers of International organization such as the United Nations International Monetary Fund, etc.

Immigrants to other countries even though they are working abroad.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Survey on Overseas Filipinos, as a rider to the Labor Force Survey (LFS), used the sampling design of the 2003 Master Sample (MS) for Household Surveys starting July 2003. The design of the Master Sample is described below:

1. Domain The 2003 MS considers the country's 17 administrative regions as its sampling domain. A domain is referred to as a subdivision of the country in which estimates with adequate level of precision is generated. It must be noted that while there is demand for data at the provincial level (and to some extent municipal and barangay levels), these were not treated as domain because of its large number (more than 80) and the large resource requirement it would entail.

2. Sampling Frame As in most household surveys, the 2003 MS made use of an area sample design. For this purpose, 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.

1. Sample Size The 2003 MS consists of a sample of 2,835 PSUs of which 330 were certainty PSUs and 2,505 were non-certainty PSUs. 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. The SOF as a rider to the LFS utilizes the full sample.

2. Stratification The 2003 MS considers the 17 regions of the country as the primary strata. Within each region, further stratification was performed using geographic groupings such as provinces, highly urbanized cities (HUCs), and independent component cities (ICCs). Within each of these substrata formed within regions, the PSUs were further stratified, to the extent possible, using the proportion of strong houses (PSTRONG), indicator of engagement in agriculture of the area (AGRI), and a measure of per capita income as stratification factors (PERCAPITA).

PSTRONG is defined to be the percentage of occupied housing units that are classified as made of strong materials in terms of both the roof and outer walls, based on the data from the 2000 CPH. A roof is considered made of strong material if it is made of either galvanized iron, aluminum, concrete/clay tile, half galvanized-half concrete, or asbestos. The outer wall is considered made of strong material if it is made of concrete, brick, stone, wood, half concrete-half wood, galvanized iron, asbestos or glass.

AGRI was determined in the following way: initially, an indicator variable was computed at the barangay level. That variable has the value 1 if more than 50 percent of the households in the barangay were engaged in agriculture or fisheries and 0 otherwise, based on the 2000 CPH Barangay Schedule. To obtain a measure at the PSU level, a weighted average of the barangay indicator variable was computed for all the barangays within the PSU, weighted by the total number of households in the barangay. Thus, the value of AGRI at the PSU level lies between 0 and 1.

PERCAPITA is defined as the total income of the municipality divided by the total population in that municipality. Note that the PERCAPITA value of the PSUs is the same if the PSUs are in the same municipality. The data on municipal income refer to year 2000 and were taken from the Department of Finance. However, if the 2000 municipal income was not reported to the Bureau of Local Government Finance (BLGF), 2001 income was used. If no 2000 or 2001 municipal income was reported, the income classification from the BLGF for this municipality was obtained. Using the data on income, which are presented in income intervals, the average of the lower and the upper values of the income interval for the municipal class to which this municipality belongs were determined.

1. Sample Selection

The 2003 MS consists of a sample of 2,835 PSUs. The entire MS was divided into four sub-samples or independent replicates, such as a quarter sample contains one fourth of the total PSUs; a half sample contains one-half of the four subsamples or equivalent to all PSUs in two replicates.

The final number of sample PSUs for each domain was determined by first classifying PSUs as either self-representing (SR) or non-self-representing (NSR). In addition, to facilitate the selection of subsamples, the total number of NSR PSUs in each region was adjusted to make it a multiple of 4.

SR PSUs refers to a very large PSU in the region/domain with a selection probability of approximately 1 or higher and is outright included in the MS; it is properly treated as a stratum; also known as certainty PSU. NSR PSUs refers to a regular too small sized PSU in a region/domain; also known as non certainty PSU. The 2003 MS consists of 330 certainty PSUs and 2,505 non-certainty PSUs.

To have some control over the sub-sample 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

Abstract

This research was conducted in Philippines between May and December 2009 as part of the Enterprise Survey initiative.

The objective of the survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Philippines was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into 6 manufacturing industries, 1 services industry -retail -, and two residual sectors. Each manufacturing industry had a target of 160 interviews. The services industry and the two residual sectors had a target of 120 interviews. For the manufacturing industries sample sizes were inflated by about 33% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel. An additional 85 interviews were added to the survey half way through the fieldwork. Targets were adjusted such that the manufacturing sectors' targets were increased to 160-180 interviews.

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in four regions: National Capital Region excluding Manila; Manila; Region III; Region IV; and Metro-Cebu (Region VII). These are the largest population and economic centers of the Philippines. National Capital Region and Manila were split because of the large size of the National Capital Region. Metro-Cebu specifically was surveyed, rather than the whole of Region VII, for logistical reasons as this region is widespread and includes many remote and sparsely populated locations.

The sample frame used in the Philippines was obtained from the 2008 National Statistics Office of the Philippines (NSO) Register of Establishments. A key limitation in using this sample frame was the cost of access, which significantly limited the size of sample available for survey limitation. As a result of concerns over confidentiality, NSO also required that sample selection was done by 3 NSO in-house under instruction of the World Bank team in Washington D.C.This database contained the following information: -Name of the firm -Location -Contact details -ISIC code -Number of employees.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 16% (319 out of 2022 establishments). Breaking down by industry, the following numbers of establishments were surveyed: 15 (Food) - 166, 18 (Garments) - 154, 24 (Chemicals) - 162, 25 (Plastic & Rubber) - 163, 26 (Non-metallic mineral products) - 151, 31 & 32 (Electronics) - 164, Other manufacturing - 122, Retail & IT - 117, Other services - 127.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Screener Questionnaire.

The “Core Questionnaire” is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the “Core Questionnaire + Manufacturing Module” and the “Core Questionnaire + Retail Module.” The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Philippines Implementation 2009" in "Technical Documents" folder.

Philippines PH: GDP: USD: Final Consumption Expenditure: General Government data was reported at 35.451 USD bn in 2017. This records an increase from the previous number of 33.926 USD bn for 2016. Philippines PH: GDP: USD: Final Consumption Expenditure: General Government data is updated yearly, averaging 3.739 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 35.451 USD bn in 2017 and a record low of 396.252 USD mn in 1962. Philippines PH: GDP: USD: Final Consumption Expenditure: General Government data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank: Gross Domestic Product: Nominal. General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

Minimum Wages in Philippines remained unchanged at 645 PHP/day in 2025 from 645 PHP/day in 2024. This dataset provides - Philippines Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Out of the ******* health professionals in the Philippines, the majority of them were registered nurses, or equivalent to ****** as of December 2022. Meanwhile, there were ****** midwives and ****** physicians in the same period.

Philippines PH: GDP: 2010 Price: USD: Final Consumption Expenditure: General Government data was reported at 31.035 USD bn in 2017. This records an increase from the previous number of 28.930 USD bn for 2016. Philippines PH: GDP: 2010 Price: USD: Final Consumption Expenditure: General Government data is updated yearly, averaging 10.969 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 31.035 USD bn in 2017 and a record low of 3.131 USD bn in 1960. Philippines PH: GDP: 2010 Price: USD: Final Consumption Expenditure: General Government data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Gross Domestic Product: Real. General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on national defense and security, but excludes government military expenditures that are part of government capital formation. Data are in constant 2010 U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

Overseas Filipino Workers (OFWs) are considered bagong bayani, or modern-day heroes, as their remittances have a positive long-term impact on the Philippines economy. The Philippines ranked 10th worldwide in terms of net emigration from 2010 to 2020. The deployment of OFWs declined during the pandemic, and this was estimated to have adverse effects on remittances. As a migrant-sending country, the Philippine government had to deal with the mass of unemployed OFWs stranded in their host countries and organize large-scale repatriation of OFWs. This scoping review aims to assess the existing literature, identify research gaps, and propose future research directions concerning the socio-economic impact of the COVID-19 pandemic on OFWs and their left-behind families. The results indicate that the impact of the pandemic on OFWs was not uniform. It is evident that OFWs in precarious situations beforehand have become even more vulnerable. The loss of their source of income in the host country and the restrictions on international mobility during the pandemic had significant detrimental effects on their wellbeing and their families left behind, regardless of their income level or type of job. Upon returning to their home country, they often experienced anxiety, depression, discrimination, and difficulty in finding a job. Overall, this scoping review highlights the urgent need for greater recognition and protection of OFWs in times of crisis. It is crucial to address the systemic issues that contribute to their vulnerability and to ensure that they receive adequate support and protection in host countries and the Philippines.

Philippines PH: GDP: 2010 Price: USD: Imports of Goods and Services data was reported at 140.694 USD bn in 2017. This records an increase from the previous number of 119.633 USD bn for 2016. Philippines PH: GDP: 2010 Price: USD: Imports of Goods and Services data is updated yearly, averaging 20.091 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 140.694 USD bn in 2017 and a record low of 4.128 USD bn in 1963. Philippines PH: GDP: 2010 Price: USD: Imports of Goods and Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Gross Domestic Product: Real. Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as communication, construction, financial, information, business, personal, and government services. They exclude compensation of employees and investment income (formerly called factor services) and transfer payments. Data are in constant 2010 U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

The total health expenditure accounted for 5.9 percent of the gross domestic product (GDP) of the Philippines in 2024. Since 2014, spending on human health has been stable, remaining between four and five percent of the GDP until 2021, when it reached 6.4 percent of the country's GDP. Health status of the aging population The Philippines was home to an estimated 113 million inhabitants in 2023. Along with the year-on-year increase in population came the need for broader healthcare services, especially for senior citizens who are at a higher risk of illnesses and diseases. In 2019, about seven percent of the aging population aged 60 years and older experienced a heart attack.  One of the leading health conditions diagnosed among the aging population was high blood pressure, arthritis, neuralgia, or rheumatism. Around 50 percent of women were diagnosed with high blood pressure, while 38.4 percent of men were diagnosed.    Health care protection With the Universal Health Care (UHC) Act enacted in 2019, more Filipinos can now have access to a government-subsidized public health insurance. The implementation of the program is under the Philippine Health Insurance Corporation (PhilHealth), alongside other related agencies. As of 2024, there were roughly 59 million registered members, the majority of whom were private employees.