According to forecast data from Tellusant, 47.6 percent of the population in the Philippines in 2024 would earn at least the equivalent of the top 40 percent of global earners in 2022 constant purchasing power parity. Out of those 98.7 percent, 1.1 percent would earn the equivalent of the top 10 percent of global earners in 2022 constant purchasing power parity.

Philippines PH: GNI: PPP data was reported at 1,052,535.405 Intl $ mn in 2017. This records an increase from the previous number of 970,186.200 Intl $ mn for 2016. Philippines PH: GNI: PPP data is updated yearly, averaging 382,827.980 Intl $ mn from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,052,535.405 Intl $ mn in 2017 and a record low of 157,867.095 Intl $ mn in 1990. Philippines PH: GNI: PPP 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: Purchasing Power Parity. PPP GNI (formerly PPP GNP) is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. Gross national income is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current international dollars. For most economies PPP figures are extrapolated from the 2011 International Comparison Program (ICP) benchmark estimates or imputed using a statistical model based on the 2011 ICP. For 47 high- and upper middle-income economies conversion factors are provided by Eurostat and the Organisation for Economic Co-operation and Development (OECD).; ; World Bank, International Comparison Program database.; Gap-filled total;

As of June 2023, almost an equal share of e-commerce users in the Philippines belong to either high or low-income groups, according to the Statista Consumer Market Outlook. The remaining 30.6 percent of e-commerce consumers were medium-income earners.

Explore The Human Capital Report dataset for insights into Human Capital Index, Development, and World Rankings. Find data on Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, and more.

Low income, Upper middle income, Lower middle income, High income, Human Capital Index (Lower Bound), Human Capital Index, Human Capital Index (Upper Bound), Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, Learning-Adjusted Years of School, Fraction of Children Under 5 Not Stunted, Adult Survival Rate, Development, Human Capital, World Rankings

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Last year edition of the World Economic Forum Human Capital Report explored the factors contributing to the development of an educated, productive and healthy workforce. This year edition deepens the analysis by focusing on a number of key issues that can support better design of education policy and future workforce planning.

Percentage refers to proportion of total NSAID sales in all countries studied. HMIC (high-/high middle-income countries): Australia, China, China (Hong Kong), Malaysia, New Zealand, Singapore, Taiwan, Thailand, UK/England, Canada; LMIC (low-/low middle-income countries): Bangladesh, Indonesia, Pakistan, Philippines, Vietnam.aDiclofenac, etoricoxib.

The number of people in the Philippines choosing to get life insurance significantly increased between 2016 and 2022. From merely 11,000 in 2016, this figure has reached close to 27,000 in 2022. Despite this, the penetration rate of the insurance industry in the country remained lower than the global average. Life insurance in the Philippines The ratio of the total insurance premiums to the population, or insurance density, was several times higher for life insurance than for non-life insurance in the Philippines. Individuals are more likely to get a life insurance policy as it provides financial protection to the family or beneficiaries of the insured in comparison to non-life insurance. There are two types of life insurance available - traditional and variable. Traditional life insurance focuses more on death or living benefits, whereas variable insurance policies are investment-linked insurance of a broader nature. As of 2023, traditional life insurance companies in the Philippines earned premium income amounting to approximately 105.2 billion Philippine pesos, which was significantly higher compared to 2016. In the same year, Sun Life of Canada (Philippines) and Pru Life Insurance Corporation (UK) were the two leading life insurance companies in the Philippines. Challenges to insurance penetration The Philippine economy has been poised for growth in recent years, with its middle-class population characterized by rising disposable incomes. However, this has not made significant contributions to the insurance industry in the Philippines, which remains to have one of the lowest penetration rates globally. Among the possible reasons for this have been low awareness and the affordability of insurance plans, especially among low-income households.

In 2023, the real gross domestic product (GDP) in the Philippines grew by approximately 5.55 percent, marking the highest growth rate in Southeast Asia. In comparison, Singapore's real GDP growth rate dropped to less than 1.1 percent. Most Southeast Asian economies are projected to see an increase in their real GDP growth rates in 2025 compared to 2023, except for Laos and Myanmar. Southeast Asia, a tapestry of economic and cultural complexity Historically a critical component of global trade, Southeast Asia is a diverse region with heterogeneous economies. The region comprises 11 countries in total. While Singapore is a highly developed country economy and Brunei has a relatively high GDP per capita, the rest of the Southeast Asian countries are characterized by lower GDPs per capita and have yet to overcome the middle-income trap. Malaysia is one of these countries, having reached the middle-income level for many decades but yet to grow incomes proportionally to its economic development. Nevertheless, Southeast Asia’s young population will further drive economic growth across the region’s markets. ASEAN’s economic significance Aiming to promote economic growth, social progress, cultural development, and regional stability, all Southeast Asian countries except for Timor-Leste are part of the political and economic union Association of Southeast Asian Nations (ASEAN). Even though many concerns surround the union, ASEAN has avoided trade conflicts and is one of the largest and most dynamic trade zones globally. Factors such as the growing young population, high GDP growth, a largely positive trade balance, and exemplary regional integration hold great potential for future economic development in Southeast Asia.

Philippines PH: Income Share Held by Fourth 20% data was reported at 21.400 % in 2015. This records an increase from the previous number of 21.100 % for 2012. Philippines PH: Income Share Held by Fourth 20% data is updated yearly, averaging 21.100 % from Dec 1985 (Median) to 2015, with 11 observations. The data reached an all-time high of 21.400 % in 2015 and a record low of 20.400 % in 1997. Philippines PH: Income Share Held by Fourth 20% 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: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Philippines PH: GDP: PPP data was reported at 875,311.111 Intl $ mn in 2017. This records an increase from the previous number of 805,964.994 Intl $ mn for 2016. Philippines PH: GDP: PPP data is updated yearly, averaging 324,537.983 Intl $ mn from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 875,311.111 Intl $ mn in 2017 and a record low of 160,562.978 Intl $ mn in 1990. Philippines PH: GDP: PPP 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: Purchasing Power Parity. PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current international dollars. For most economies PPP figures are extrapolated from the 2011 International Comparison Program (ICP) benchmark estimates or imputed using a statistical model based on the 2011 ICP. For 47 high- and upper middle-income economies conversion factors are provided by Eurostat and the Organisation for Economic Co-operation and Development (OECD).; ; World Bank, International Comparison Program database.; Gap-filled total;

Philippines PH: Poverty Gap at $5.50 a Day: 2011 PPP: % data was reported at 26.600 % in 2015. This records a decrease from the previous number of 29.800 % for 2012. Philippines PH: Poverty Gap at $5.50 a Day: 2011 PPP: % data is updated yearly, averaging 32.700 % from Dec 1985 (Median) to 2015, with 11 observations. The data reached an all-time high of 43.200 % in 1985 and a record low of 26.600 % in 2015. Philippines PH: Poverty Gap at $5.50 a Day: 2011 PPP: % 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: Poverty. Poverty gap at $5.50 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $5.50 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Philippines PH: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data was reported at 64.200 % in 2015. This records a decrease from the previous number of 67.000 % for 2012. Philippines PH: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data is updated yearly, averaging 69.200 % from Dec 1985 (Median) to 2015, with 11 observations. The data reached an all-time high of 82.700 % in 1985 and a record low of 64.200 % in 2015. Philippines PH: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population 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: Poverty. Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.