Unemployment Rate in Philippines decreased to 3.80 percent in September from 3.90 percent in August of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset tabulates the population of Manila by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Manila. The dataset can be utilized to understand the population distribution of Manila by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Manila. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Manila.

Key observations

Largest age group (population): Male # 15-19 years (63) | Female # 45-49 years (36). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Manila population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Manila is shown in the following column.
• Population (Female): The female population in the Manila is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Manila for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Gender. You can refer the same here

The total population in Philippines was estimated at 112.9 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Philippines Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Historical dataset showing total population for Philippines by year from 1950 to 2025.

Abstract

The Global Findex 2025 reveals how mobile technology is equipping more adults around the world to own and use financial accounts to save formally, access credit, make and receive digital payments, and pursue opportunities. Including the inaugural Global Findex Digital Connectivity Tracker, this fifth edition of Global Findex presents new insights on the interactions among mobile phone ownership, internet use, and financial inclusion.

The Global Findex is the world’s most comprehensive database on digital and financial inclusion. It is also the only global source of comparable demand-side data, allowing cross-country analysis of how adults access and use mobile phones, the internet, and financial accounts to reach digital information and resources, save, borrow, make payments, and manage their financial health. Data for the Global Findex 2025 were collected from nationally representative surveys of about 145,000 adults in 141 economies. The latest edition follows the 2011, 2014, 2017, and 2021 editions and includes new series measuring mobile phone ownership and internet use, digital safety, and frequency of transactions using financial services.

The Global Findex 2025 is an indispensable resource for policy makers in the fields of digital connectivity and financial inclusion, as well as for practitioners, researchers, and development professionals.

Geographic coverage

National Coverage

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most low- and middle-income economies, Global Findex data were collected through face-to-face interviews. In these economies, an area frame design was used for interviewing. In most high-income economies, telephone surveys were used. In 2024, face-to-face interviews were again conducted in 22 economies after phone-based surveys had been employed in 2021 as a result of mobility restrictions related to COVID-19. In addition, an abridged form of the questionnaire was administered by phone to survey participants in Algeria, China, the Islamic Republic of Iran, Libya, Mauritius, and Ukraine because of economy-specific restrictions. In just one economy, Singapore, did the interviewing mode change from face to face in 2021 to phone based in 2024.

In economies in which face-to-face surveys were conducted, the first stage of sampling was the identification of primary sampling units. These units were then stratified by population size, geography, or both and clustered through one or more stages of sampling. Where population information was available, sample selection was based on probabilities proportional to population size; otherwise, simple random sampling was used. Random route procedures were used to select sampled households. Unless an outright refusal occurred, interviewers made up to three attempts to survey each sampled household. To increase the probability of contact and completion, attempts were made at different times of the day and, where possible, on different days. If an interview could not be completed at a household that was initially part of the sample, a simple substitution method was used to select a replacement household for inclusion.

Respondents were randomly selected within sampled households. Each eligible household member (that is, all those ages 15 or older) was listed, and a handheld survey device randomly selected the household member to be interviewed. For paper surveys, the Kish grid method was used to select the respondent. In economies in which cultural restrictions dictated gender matching, respondents were randomly selected from among all eligible adults of the interviewer’s gender.

In economies in which Global Findex surveys have traditionally been phone based, respondent selection followed the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies in which mobile phone and landline penetration is high, a dual sampling frame was used.

The same procedure for respondent selection was applied to economies in which phone-based interviews were being conducted for the first time. Dual-frame (landline and mobile phone) random digit dialing was used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digit dialing was used in economies with limited or no landline presence (less than 20 percent). For landline respondents in economies in which mobile phone or landline penetration is 80 percent or higher, respondents were selected randomly by using either the next-birthday method or the household enumeration method, which involves listing all eligible household members and randomly selecting one to participate. For mobile phone respondents in these economies or in economies in which mobile phone or landline penetration is less than 80 percent, no further selection was performed. At least three attempts were made to reach the randomly selected person in each household, spread over different days and times of day.

Research instrument

The English version of the questionnaire is provided for download.

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: Klapper, Leora, Dorothe Singer, Laura Starita, and Alexandra Norris. 2025. The Global Findex Database 2025: Connectivity and Financial Inclusion in the Digital Economy. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-2204-9.

About this dataset

Context

The dataset tabulates the population of Manila by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Manila. The dataset can be utilized to understand the population distribution of Manila by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Manila. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Manila.

Key observations

Largest age group (population): Male # 0-4 years (326) | Female # 0-4 years (221). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Manila population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Manila is shown in the following column.
• Population (Female): The female population in the Manila is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Manila for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Gender. You can refer the same here

Comprehensive socio-economic dataset for Philippines including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Philippines Population Projection 2020 to 2025 by Admin3

This data is about the Philippines population projection count 2020 to 2025 by city/municipality (admin3) based on 2015 Census

Location

Philippines

Data Source

Philippines Statistics Authority

Contributor

OCHA Philippines

Philippines administrative level 0-2 sex and age disaggregated 2022, 2023, 2024, and 2025 population statistics

REFERENCE YEAR: 2022 (and 2023, 2024, 2025)

These CSV population statistics files are suitable for database or ArcGIS joins to the Philippines - Subnational Administrative Boundaries.

See caveats.

Employment Rate in Philippines increased to 96.20 percent in September from 96.10 percent in August of 2025. This dataset provides - Philippines Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The number of employed persons in Philippines decreased to 49601.88 Thousand in September of 2025 from 50096.15 Thousand in August of 2025. This dataset provides - Philippines Employed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Historical dataset of population level and growth rate for the Angeles City, Philippines metro area from 1950 to 2025.

The number of unemployed persons in Philippines decreased to 1955.79 Thousand in September of 2025 from 2033.50 Thousand in August of 2025. This dataset provides - Philippines Unemployed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Historical dataset of population level and growth rate for the Davao City, Philippines metro area from 1950 to 2025.

The Gross Domestic Product per capita in Philippines was last recorded at 3925.30 US dollars in 2024. The GDP per Capita in Philippines is equivalent to 31 percent of the world's average. This dataset provides - Philippines GDP per capita - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Image

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Context

The 2025 Philippine general election was held last May 12, 2025. During this midterm election, where the winners take office mid-way the term of President Bongbong Marcos, all 317 seats in the House of Representatives and 12 of the 24 seats in the Senate will be contested to form the 20th Congress of the Philippines. Local elections will also be held for the executive and legislative branches in every province, city, and municipality in the country. The first regular election to the Bangsamoro Parliament will be held within the general election after it was postponed in 2022.

2025 Philippine general election

Source

ABS-CBN Halalan Results 2025

Related Dataset

🇵🇭 Tweets on Philippine Elections 2025

Image Banner

Generated with Image Bing Generator

Context

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Updates

The Province of Sulu Officially Transferred to Region IX (Zamboanga Peninsula)

• Release Date: Friday, August 29, 2025
• Reference Number: 2025-325
• Description: Pursuant to Executive Order No. 91, Series of 2025 dated 30 July 2025, the Province of Sulu has been officially transferred to Region IX (Zamboanga Peninsula). The transfer includes all municipalities and barangays within the Province of Sulu. This development follows the Supreme Court’s ruling affirming the exclusion of the province from the Bangsamoro Autonomous Region in Muslim Mindanao (BARMM).

See more at Philippine Standard Geographic Code

Geographic Levels (as of 29 August 2025)

• Region- 18
• Province- 82
• Highly Urbanized City (HUC)- 33
• Independent Component City (ICC)- 5
• Component City (ICC)- 111
• Municipality- 1493
• Barangay- 42,011

Note

Image generated with Bing Image Generator

Historical dataset of population level and growth rate for the San Pedro, Philippines metro area from 1950 to 2025.

Consumer Spending in Philippines increased to 4033096.40 PHP Million in the third quarter of 2025 from 3953573.70 PHP Million in the second quarter of 2025. This dataset provides - Philippines Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Gross Domestic Product (GDP) in Philippines was worth 461.62 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Philippines represents 0.43 percent of the world economy. This dataset provides - Philippines GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.