Philippines Number of Families: National Capital Region (NCR) data was reported at 3,019,000.000 Unit in 2015. This records an increase from the previous number of 2,917,000.000 Unit for 2012. Philippines Number of Families: National Capital Region (NCR) data is updated yearly, averaging 2,240,837.500 Unit from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 3,019,000.000 Unit in 2015 and a record low of 1,435,436.000 Unit in 1988. Philippines Number of 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.H014: Family Income and Expenditure Survey: No of Families: By Income Class and Main Source of Income.

This site complements PSA OpenSTAT portal allowing data users to visualize data on maps. Users can also explore and download published data, discover and build web maps and apps, and analyze and combine datasets using maps.This site is under construction and data published here are not official!

Philippines Net Enrolment Rate: Public & Private: Elementary: CAR data was reported at 92.180 % in 2015. This records a decrease from the previous number of 94.530 % for 2014. Philippines Net Enrolment Rate: Public & Private: Elementary: CAR data is updated yearly, averaging 96.575 % from Mar 2010 (Median) to 2015, with 6 observations. The data reached an all-time high of 100.150 % in 2011 and a record low of 92.180 % in 2015. Philippines Net Enrolment Rate: Public & Private: Elementary: 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.G028: Education Statistics: Net Enrolment Rate.

Philippines PH: SPI: Pillar 1 Data Use Score: Scale 0-100 data was reported at 100.000 NA in 2019. This stayed constant from the previous number of 100.000 NA for 2018. Philippines PH: SPI: Pillar 1 Data Use Score: Scale 0-100 data is updated yearly, averaging 60.000 NA from Dec 2004 (Median) to 2019, with 16 observations. The data reached an all-time high of 100.000 NA in 2019 and a record low of 40.000 NA in 2009. Philippines PH: SPI: Pillar 1 Data Use Score: Scale 0-100 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: Governance: Policy and Institutions. The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

The Philippines Data Center Market report segments the industry into Hotspot (NCR (Metro Manila), Rest of Philippines), Data Center Size (Large, Massive, Medium, Mega, Small), Tier Type (Tier 1 and 2, Tier 3, Tier 4), and Absorption (Non-Utilized, Utilized). Get five years of historical data alongside five-year market forecasts.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

Sample is disproportionately allocated across the four broad regions.

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in Philippines was 1,000 individuals.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

These datasets contain the database of the local television channels in the greater manila area (GMA) in the Philippines as of 2020.

The Philippines Data Center Storage Market is Segmented Into Storage Technology (Network Attached Storage (NAS), Storage Area Network (SAN) and More), Storage Type (Traditional Storage, and More), and End-User (IT & Telecommunication, BFSI, Government, and More. Form Factor (Rack-Mounted and More), Interface (SAS / SATA and More). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Segments.

Philippines Exports: United States: Hawaii data was reported at 0.099 USD mn in Apr 2018. This records a decrease from the previous number of 0.233 USD mn for Mar 2018. Philippines Exports: United States: Hawaii data is updated monthly, averaging 1.418 USD mn from Jan 1991 (Median) to Apr 2018, with 328 observations. The data reached an all-time high of 31.590 USD mn in Sep 1996 and a record low of 0.065 USD mn in Feb 2017. Philippines Exports: United States: Hawaii data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.JA019: Trade Statistics: Imports and Exports: Value: By Major Countries.

Philippines Whois Database, discover comprehensive ownership details, registration dates, and more for domains registered in Philippines with Whois Data Center.

Government expenditure on education, total (% of government expenditure) in Philippines was reported at 16.73 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Public spending on education, total (% of government expenditure) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

The report covers Philippines Data Center Industry Trends, Philippines Data Center Market Revenue, Philippines Data Center Market Growth, Philippines Data Center Market Players, Philippines Data Center Market Outlook.

Incidents of data breaches in the Philippines reached roughly 0.7 million during the fourth quarter of 2024, indicating a decrease from the previous quarter. The number of data breaches peaked in the second quarter of 2020 at the height of the COVID-19 pandemic. Challenges in cybersecurity As one of the countries in Asia with a high internet penetration, Filipino online users have been surfing the web to access social media and other entertainment platforms. Recently, particularly at the height of the global pandemic, Filipino internet users also adopted online shopping and digital payment services for their essential and non-essential needs. With the increased digitalization of most services comes the heightened risk of being a victim of cyber threats such as phishing, online scams, data theft, and mobile malware. Such incidents were especially prominent among users lacking cyber hygiene or those unaware of how to protect their personal information when doing their online transactions. Cybersecurity market insights Despite the increased risks of online threats in the Philippines, the cybersecurity market remains modest compared to other countries. In particular, the Philippines ranked 12th out of 14 among countries in the Asia-Pacific region regarding the size of its cybersecurity market and was forecast to grow to about 344 million U.S. dollars in 2028.

Our Philippines zip code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

The Philippines: Remittances, million USD: The latest value from 2023 is 39096.89 million U.S. dollars, an increase from 38048.72 million U.S. dollars in 2022. In comparison, the world average is 4590.03 million U.S. dollars, based on data from 184 countries. Historically, the average for the Philippines from 1977 to 2023 is 13178.49 million U.S. dollars. The minimum value, 339 million U.S. dollars, was reached in 1977 while the maximum of 39096.89 million U.S. dollars was recorded in 2023.

Indonesia Imports from Philippines was US$1.49 Billion during 2023, according to the United Nations COMTRADE database on international trade. Indonesia Imports from Philippines - data, historical chart and statistics - was last updated on June of 2025.

The Philippines Data Center Market size is estimated to grow at a CAGR of around 7.5% during the forecast period 2024-30. government smart city development initiatives are the growth opportunity driving the data center market in philippines.

The size of the Data Center Market in Philippines market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 12.30% during the forecast period.A data center is the facility that houses computer systems and networking equipment used to store, process, and transmit data. Data centers address the infrastructure under which the organizations can carry out their operations, like hosting a website and email server, database servers, among others. Data centers play a key role in critical business applications for all sizes of companies ranging from small startups up to big enterprises.This industry in Philippines has experienced significant rapid growth lately with digitalization, ever-increasing demands of the cloud, and strong requirement for robust IT infrastructure. With growing numbers of businesses accepting cloud computing in combination with some other digital technologies present within Philippines, an enormous requirement has cropped up from the organizations concerning the available data centre capacity. Along with all this, due to regulatory compliances from data localization laws, more organisations feel a push to construct such data centres within their national country boundaries itself.Established and emerging providers compose the Philippine data center market. At one end of the scale are global data center giants still extending their reach, and at the other end are the local players seeking to take advantage of such booming demand. There have also been investments in technologies like AI and machine learning to better achieve efficiency and security in a data center. This has made the data center market ready to grow and innovate more as the Philippines advances with further digital transformation. Recent developments include: October 2022: Zenlayer entered into a joint venture with Megaport to strengthen and expand its presence globally. The partnership is aimed at providing enhanced services such as improved network connectivity, real time provisioning, and on demand private connectivity for its clients around the globe.August 2022: ePLDT has partnered with Abra State Institute of Science and Technology (ASIST) for offering smart campus digitalization solutions to provide better learning experience to students.June 2022: BNS has been caertified and included in the list of Cybersecurity Assessment provider by DICT.. Key drivers for this market are: , Growth of Smart Devices; Increasing number of Data Breaches. Potential restraints include: , Lack of Awareness about Cyberattacks. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

Philippines Data Center Power Market Report Segments the Industry Into Component (Electrical Solutions, Service), Data Center Type (Hyperscaler/Cloud Service Providers and More), Data Center Size(Small-Sized Data Centers, Medium-Sized Data Centers, and More), and Tier Level (Tier I and II and More). The Market Forecasts are Provided in Terms of Value (USD).

Philippines PH: General Government: Expenditure: % of GDP data was reported at 20.973 % in 2023. This records an increase from the previous number of 20.829 % for 2022. Philippines PH: General Government: Expenditure: % of GDP data is updated yearly, averaging 19.991 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 21.749 % in 2001 and a record low of 17.915 % in 2011. Philippines PH: General Government: Expenditure: % of GDP data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Philippines – Table PH.IMF.FM: Government Finance Statistics.