The province of Cebu topped the ranking of the wealthiest provinces in the Philippines, with assets amounting to approximately 310 billion Philippine pesos in 2023. Following by a large margin were the provinces of Rizal and Camarines Sur.

For the 2022 national elections, the most vote-rich province in the Philippines was Cebu, with around **** million registered voters. This was followed by Cavite and Pangasinan with *** million and *** million registered voters, respectively.

Philippines GDP: National Capital Region (NCR) data was reported at 8,214,308.357 PHP th in 2024. This records an increase from the previous number of 7,572,877.704 PHP th for 2023. Philippines GDP: National Capital Region (NCR) data is updated yearly, averaging 3,553,088.571 PHP th from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 8,214,308.357 PHP th in 2024 and a record low of 1,237,450.701 PHP th in 2000. Philippines GDP: National Capital Region (NCR) data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A016: PSNA 5th Revision: Gross Domestic Product: by Region and Province: Current Price.

For the 2022 national elections, Quezon City was the most vote-rich city in the Philippines, accounting for the highest number of registered voters at 1.4 million. This was followed by Manila and Davao with 1.13 million and around one million voters, respectively.

Philippines Average Family Exp: Cordillera Administrative Region (CAR) data was reported at 209,000.000 PHP in 2015. This records an increase from the previous number of 188,000.000 PHP for 2012. Philippines Average Family Exp: Cordillera Administrative Region (CAR) data is updated yearly, averaging 118,169.000 PHP from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 209,000.000 PHP in 2015 and a record low of 28,722.000 PHP in 1988. Philippines Average Family Exp: Cordillera Administrative Region (CAR) 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.

Philippines Incidence of Poor Families: National Capital Region (NCR) data was reported at 2.700 % in 2015. This records an increase from the previous number of 2.600 % for 2012. Philippines Incidence of Poor Families: National Capital Region (NCR) data is updated yearly, averaging 4.100 % from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 21.600 % in 1988 and a record low of 2.100 % in 2003. Philippines Incidence of Poor Families: National Capital Region (NCR) data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H025: Family Income and Expenditure Survey: Poverty Statistics and Proportion of Poor Population: By Regions.

Philippines GDP: Bangsamoro Autonomous Region in Muslim Mindanao (BARMM) data was reported at 386,127.983 PHP th in 2024. This records an increase from the previous number of 362,519.548 PHP th for 2023. Philippines GDP: Bangsamoro Autonomous Region in Muslim Mindanao (BARMM) data is updated yearly, averaging 154,218.301 PHP th from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 386,127.983 PHP th in 2024 and a record low of 44,751.362 PHP th in 2001. Philippines GDP: Bangsamoro Autonomous Region in Muslim Mindanao (BARMM) data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.A016: PSNA 5th Revision: Gross Domestic Product: by Region and Province: Current Price.

The Edades West in Metro Manila was the most expensive condominium in the Philippines, at ***** U.S. dollars per square meters. In comparison, The Palladium-Northwing in Iloilo was priced at ***** U.S. dollars per square meters in the same year.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Philippines. Power Plant emissions from all power plants in Philippines were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information

From Source: Food budget shares and income and price elasticities are estimated, using 1996 data, for nine major consumption groups and eight food subgroups across 114 countries. The broad groups include food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. Food subgroups include bread and cereals, meat, fish, dairy products, fats and oils, fruit and vegetables, beverages and tobacco, and other food products. The depth and breath of these data provide an opportunity to incorporate the elasticities into research on changing food demand patterns. Albania Antigua & Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bolivia Botswana Brazil Bulgaria Cameroon Canada Chile Congo Cote d'Ivoire Czech Republic Denmark Dominica Ecuador Egypt Estonia Fiji Finland France Gabon Georgia Germany Greece Grenada Guinea Hong Kong Hungary Iceland Indonesia Iran Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kyrgyzstan Latvia Lebanon Lithuania Luxembourg Macedonia Madagascar Malawi Mali Mauritius Mexico Moldova Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Oman Pakistan Paraguay Peru Philippines Poland Portugal Qatar Romania Russia Senegal Sierra Leone Singapore Slovakia Slovenia Spain Sri Lanka St. Kitts & Nevis St. Lucia St.Vincent & Grenadines Swaziland Sweden Switzerland Syria Tajikistan Tanzania Thailand Trinidad & Tobago Tunisia Turkey Turkmenistan Ukraine United Kingdom United States Uruguay Uzbekistan Venezuela Vietnam Yemen Zambia Zimbabwe

In 2024, the total population of the Philippines was at approximately 114.17 million inhabitants. For the foreseeable future, the Filipino population is expected to increase slightly, despite a current overall downward trend in population growth. The dwindling Filipino population For now, the population figures in the Philippines still show a steady increase and the country is still one of the most densely populated countries in the Asia-Pacific region, however, all signs point to a decline in the number of inhabitants in the long run: Just like the population growth rate, the country’s fertility rate, for example, has also been decreasing for years now, while the death rate has been increasing simultaneously.   Poor healthcare to blame One of the reasons for the downward trend is the aging population; fewer babies are born each year, while life expectancy at birth has been steady over the years. Another reason is poor healthcare in the country: The Philippines have a high tuberculosis incidence rate, a highly infectious disease, and are among the countries with a high probability of death from noncommunicable diseases as well.

In 2024, the real gross domestic product (GDP) in Vietnam grew by approximately **** percent, marking the highest growth rate in Southeast Asia. In comparison, Myanmar's real GDP growth rate dropped by **** percent. 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 ** 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.