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.

In 2020, the estimated size of the middle class population in the six selected Southeast Asian countries Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam amounted to around 200 million. That year, approximately 80 million people of Indonesia's total population were part of the middle class.

Philippines PH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: East Asia & Pacific data was reported at 19.568 % in 2016. This records an increase from the previous number of 19.350 % for 2015. Philippines PH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: East Asia & Pacific data is updated yearly, averaging 6.096 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 21.860 % in 2011 and a record low of 0.037 % in 1960. Philippines PH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: East Asia & Pacific 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: Exports. Merchandise exports to low- and middle-income economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the East Asia and Pacific region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

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.

Philippines PH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data was reported at 36.171 % in 2016. This records an increase from the previous number of 33.756 % for 2015. Philippines PH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific data is updated yearly, averaging 7.863 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 36.171 % in 2016 and a record low of 2.259 % in 1974. Philippines PH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: East Asia & Pacific 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: Imports. Merchandise imports from low- and middle-income economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the East Asia and Pacific region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Merchandise imports from low- and middle-income economies in Latin America & the Caribbean (% of total merchandise imports) in Philippines was reported at 1.2628 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

In line with Article 11 of the WHO Framework Convention on Tobacco Control, the Philippines has implemented graphic health warnings on cigarette packs. To date, there has been no published literature evaluating the perceived effectiveness of GHWs in the Philippines. This study aims to contribute to the evidence on the perceived effects of graphic health warnings (GHWs) in cigarette packaging and the potential impact of plain packaging in the Philippines. The study involved an online convenience survey and a nationwide household survey. Mock-up sets of cigarette packs based on the Philippines’ law on GHWs, and Thailand’s and Singapore’s plain packaging were shown to respondents to rate their attractiveness, quality, taste, cost, social appeal, appeal to youth, noticeability, appeal to non-smokers, attempt to quit, ease of quitting, discouraging smoking, and perceived harm to health on a five-point Lickert scale. The online and household surveys recruited 2,701 respondents in total. Online and household survey respondents considered plain packaging with larger graphic health warnings and visible quitlines from Thailand and Singapore to be more effective in discouraging them from smoking. Both sets of survey respondents also found mock-ups from Thailand and Singapore more motivating for them to attempt quitting than cigarette pack mock-ups from the Philippines. The study concludes that current graphic health warnings in the Philippines are ineffective in instilling health consciousness among Filipinos. Policymakers should consider larger graphic health warnings and plain packaging of cigarettes to motivate smokers to quit and discourage Filipinos from smoking.

Philippines PH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data was reported at 1.070 % in 2016. This records an increase from the previous number of 0.947 % for 2015. Philippines PH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data is updated yearly, averaging 1.196 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.822 % in 1989 and a record low of 0.106 % in 1973. Philippines PH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean 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: Imports. Merchandise imports from low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Latin America and the Caribbean region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Philippines Average Family Income: Region III, Central Luzon data was reported at 299,000.000 PHP in 2015. This records an increase from the previous number of 259,000.000 PHP for 2012. Philippines Average Family Income: Region III, Central Luzon data is updated yearly, averaging 155,724.500 PHP from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 299,000.000 PHP in 2015 and a record low of 46,855.000 PHP in 1988. Philippines Average Family Income: Region III, Central Luzon data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H020: Family Income and Expenditure Survey: Average Annual Income, Expenditure and Saving: By Region.

SM Prime Holdings, Inc. was the leading real estate developer in the Philippines regarding net income in 2022. That year, the company reported a net income of approximately 22 billion Philippine pesos. Its closest competitor, Ayala Land, generated a net income of about 13.3 billion Philippine pesos in the same year.

SM Prime Holdings – more information

SM Prime Holdings is a property developer that primarily builds and manages shopping malls in the country and abroad. In 2022, malls accounted for about half of the company’s total revenue. As of the first quarter of 2023, SM Prime owns and operates 82 malls in the country and seven in China. Its largest mall – SM Mall of Asia, is one of the largest nationwide, with over 600 shops. Aside from malls, the company also started venturing into the real estate segment and has been providing mid-rise buildings and single detached houses in multiple essential areas, such as cities in Metro Manila, Tagaytay, Cavite, Iloilo, and Davao. SM Prime also owns and operates convention centers and hotels.

The state of property development in the Philippines

Real estate in the Philippines has undergone massive developments in the past decade. The industry has grown significantly thanks to foreign investment growth, a growing middle-class population, and sustained remittances from overseas Filipino workers (OFWs), especially after the economic recovery post-COVID. Property developers are expected to maximize the increasing demand for property supply as multiple opportunities for real estate segments arise.

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.

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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.

Philippines PH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data was reported at 0.410 % in 2016. This records a decrease from the previous number of 1.258 % for 2015. Philippines PH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa data is updated yearly, averaging 0.204 % from Dec 1960 (Median) to 2016, with 56 observations. The data reached an all-time high of 1.258 % in 2015 and a record low of 0.075 % in 1976. Philippines PH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Sub-Saharan Africa 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: Exports. Merchandise exports to low- and middle-income economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

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.

The International Bank for Reconstruction and Development (IBRD), part of the World Bank system, distributed billions in loans to middle-income and creditworthy low-income countries in 2023. That year, India was the largest fiscal borrower, borrowing over 4.3 billion U.S. dollars from the IBRD. Other major borrowers include Turkey, Indonesia, Ukraine, and the Philippines.

Philippines PH: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 40.100 % in 2015. This records a decrease from the previous number of 42.200 % for 2012. Philippines PH: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 42.200 % from Dec 1985 (Median) to 2015, with 11 observations. The data reached an all-time high of 46.000 % in 1997 and a record low of 40.100 % in 2015. Philippines PH: Gini Coefficient (GINI Index): World Bank Estimate 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. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. 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: 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.

PH：出口：低等收入和中等收入国家：占货物总出口百分比：欧洲和中亚在12-01-2016达0.264%，相较于12-01-2015的0.261%有所增长。PH：出口：低等收入和中等收入国家：占货物总出口百分比：欧洲和中亚数据按年更新，12-01-1970至12-01-2016期间平均值为0.097%，共45份观测结果。该数据的历史最高值出现于12-01-1976，达0.645%，而历史最低值则出现于12-01-1978，为0.002%。CEIC提供的PH：出口：低等收入和中等收入国家：占货物总出口百分比：欧洲和中亚数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的菲律宾 – 表 PH.世界银行：出口。

PH：出口：低等收入和中等收入国家：占货物总出口百分比：区域内：南亚在12-01-2016达0.754%，相较于12-01-2015的0.841%有所下降。PH：出口：低等收入和中等收入国家：占货物总出口百分比：区域内：南亚数据按年更新，12-01-1960至12-01-2016期间平均值为0.321%，共56份观测结果。该数据的历史最高值出现于12-01-1993，达2.062%，而历史最低值则出现于12-01-1971，为0.045%。CEIC提供的PH：出口：低等收入和中等收入国家：占货物总出口百分比：区域内：南亚数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的菲律宾 – 表 PH.世行.WDI：出口。