In 2023, the population of the Philadelphia-Camden-Wilmington metropolitan area in the United States was about 6.25 million people. This was a slight increase from the previous year, when the population was about 6.24 million people.
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Graph and download economic data for Resident Population in Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) (PCWPOP) from 2000 to 2024 about DE, Philadelphia, NJ, MD, PA, residents, population, and USA.
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Context
The dataset tabulates the Philadelphia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Philadelphia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Philadelphia was 1.55 million, a 1.04% decrease year-by-year from 2022. Previously, in 2022, Philadelphia population was 1.57 million, a decline of 1.43% compared to a population of 1.59 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of Philadelphia increased by 36,868. In this period, the peak population was 1.6 million in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Philadelphia Population by Year. You can refer the same here
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Graph and download economic data for Resident Population in Philadelphia County/city, PA (PAPHIL5POP) from 1970 to 2024 about Philadelphia County/City, PA; Philadelphia; PA; residents; population; and USA.
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License information was derived automatically
Context
The dataset tabulates the Philadelphia County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Philadelphia County. The dataset can be utilized to understand the population distribution of Philadelphia County by age. For example, using this dataset, we can identify the largest age group in Philadelphia County.
Key observations
The largest age group in Philadelphia County, PA was for the group of age 30 to 34 years years with a population of 151,121 (9.55%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Philadelphia County, PA was the 80 to 84 years years with a population of 25,123 (1.59%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Philadelphia County Population by Age. You can refer the same here
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Philadelphia County, PA (B03002014E042101) from 2009 to 2023 about Philadelphia, African-American, PA, latino, hispanic, estimate, persons, 5-year, population, and USA.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Philadelphia County, PA (B03002010E042101) from 2009 to 2023 about Philadelphia, PA, latino, non-hispanic, estimate, persons, 5-year, population, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Philadelphia, PA population pyramid, which represents the Philadelphia population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Philadelphia Population by Age. You can refer the same here
Check out the PhilaStats Vital Statistics Dashboard for the City of Philadelphia, for interactive maps and charts of vital statistics and trends in natality (births), mortality (deaths), and population for Philadelphia residents. See also the technical notes for the creation and visualization of Philadelphia's Vital Statistics. View metadata for key information about this dataset.Vital statistics are annually published calculations on birth and death records that facilitate the tracking of important health and population trends in Philadelphia over time. Public officials, researchers, and citizens alike may use vital statistics to plan for population shifts and healthcare needs, to perform research, and to stay informed and up-to-date on the natality and mortality trends in our City. The vital statistics dataset consists of natality and mortality data on Philadelphia City residents for each year of finalized data available, back to 2011 for births and 2012 for deaths. Citywide metrics and metrics by Philadelphia Planning District are provided for both natality and mortality metrics. A population estimates table is also provided, which includes the population counts used to calculate some metrics.The Vital Statistics - Population dataset is also available aggregated by planning district and in this citywide table.For questions about this dataset, contact epi@phila.gov. For technical assistance, email maps@phila.gov.
Check out the PhilaStats Vital Statistics Dashboard for the City of Philadelphia, for interactive maps and charts of vital statistics and trends in natality (births), mortality (deaths), and population for Philadelphia residents. See also the technical notes for the creation and visualization of Philadelphia's Vital Statistics. View metadata for key information about this dataset.Vital statistics are annually published calculations on birth and death records that facilitate the tracking of important health and population trends in Philadelphia over time. Public officials, researchers, and citizens alike may use vital statistics to plan for population shifts and healthcare needs, to perform research, and to stay informed and up-to-date on the natality and mortality trends in our City. The vital statistics dataset consists of natality and mortality data on Philadelphia City residents for each year of finalized data available, back to 2011 for births and 2012 for deaths. Citywide metrics and metrics by Philadelphia Planning District are provided for both natality and mortality metrics. A population estimates table is also provided, which includes the population counts used to calculate some metrics.The Vital Statistics - Population dataset is also available aggregated by census tract and in this citywide table.For questions about this dataset, contact epi@phila.gov. For technical assistance, email maps@phila.gov.
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License information was derived automatically
Philadelphia County/city, PA - Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Philadelphia County, PA was 2162.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Philadelphia County/city, PA - Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Philadelphia County, PA reached a record high of 3343.00000 in January of 2019 and a record low of 2162.00000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Philadelphia County/city, PA - Population Estimate, Total, Not Hispanic or Latino, American Indian and Alaska Native Alone (5-year estimate) in Philadelphia County, PA - last updated from the United States Federal Reserve on July of 2025.
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License information was derived automatically
Resident Population in Philadelphia County/city, PA was 1573.91600 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Philadelphia County/city, PA reached a record high of 1949.99600 in January of 1970 and a record low of 1510.60600 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Philadelphia County/city, PA - last updated from the United States Federal Reserve on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Philadelphia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Philadelphia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2022, the population of Philadelphia was 1,567,258, a 1.40% decrease year-by-year from 2021. Previously, in 2021, Philadelphia population was 1,589,480, a decline of 0.69% compared to a population of 1,600,600 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Philadelphia increased by 53,584. In this period, the peak population was 1,600,600 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Philadelphia Population by Year. You can refer the same here
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License information was derived automatically
Context
The dataset tabulates the population of New Philadelphia by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New Philadelphia. The dataset can be utilized to understand the population distribution of New Philadelphia by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New Philadelphia. 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 New Philadelphia.
Key observations
Largest age group (population): Male # 30-34 years (61) | Female # 55-59 years (61). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for New Philadelphia Population by Gender. You can refer the same here
Energy Use and Greenhouse Gas Emissions Inventory for Greater Philadelphiahttps://www.dvrpc.org/Products/18018Energy Use is defined as the BBTU (Billion British Thermal Units) equivalent of energy consumed by end point users. For electricity this is the BBTU equivalent of the electricity at point of consumption, not the heat content of the fuels used for electricity generation.Emissions (MTCO2E - Metric tons of carbon dioxide equivalent) from the following sectors and fuel sources are not included in this allocation: enteric fermentation and manure management; commerical and general aviation; marine and port-related activity; off-road vehicles and equipment; freight and intercity passenger rail; coal; fuels used predominently in the industrial sector (e.g., petroleum coke); and land use, land use change, and forestry.Population and Employment data used in this analysis came from DVRPC's Municipal-level Poulation and Employment Forecasts.GEOID_10 - Unique GIS ID for Municipality.ACRES - Total Municipal Acres.USEACRES - Energy Use per Acres (BBTUs).EUPOPEM - Energy Use per Person/Job (BBTUs).EMIACRE - GHG Emissions per Acre (MTCO2E).EMPOPE - GHG Emissions per Person/Job (MTCO2E).EMSQACRE - GHG Emissions/Sequestration including Land Use, Land Use Change, and Foresty per Acres (MTCO2E).EMSQPOPE - GHG Emissions/Sequestration including Land Use, Land Use Change, and Foresty per Person/Job (MTCO2E).DVRPC estimates that net GHG emissions decreased 10 percent from 2010 to 2015, from emissions equivalent to the release of 82 million metric tons of carbon dioxide (MMTCO2e) to about 74 MMTCO2e. GHG emissions were 21 percent lower in 2015 than in 2005. The top three drivers of reductions between 2010 and 2015 were, in decreasing levels of significance, change in electricity generation mix (a cleaner electricity grid due to the continued switch from coal to natural gas), decreased on-road emissions per mile traveled, and decreased electricity consumption per household. Continued reductions will require sustained, concerted and aggressive action at the household, firm, community, regional, state, national, and global level, as well as continued technical advancement. More information can be found at www.dvrpc.org/EnergyClimate/Inventory.htm.Please refer to DVRPC's Energy Use and Greenhouse Gas Emissions Inventory for Greater Philadelphia: Methods and Sources for further details on analysis methods and data sources.https://www.dvrpc.org/Products/TM18023
Check out the PhilaStats Vital Statistics Dashboard for the City of Philadelphia, for interactive maps and charts of vital statistics and trends in natality (births), mortality (deaths), and population for Philadelphia residents. See also the technical notes for the creation and visualization of Philadelphia's Vital Statistics. View metadata for key information about this dataset.Vital statistics are annually published calculations on birth and death records that facilitate the tracking of important health and population trends in Philadelphia over time. Public officials, researchers, and citizens alike may use vital statistics to plan for population shifts and healthcare needs, to perform research, and to stay informed and up-to-date on the natality and mortality trends in our City. The vital statistics dataset consists of natality and mortality data on Philadelphia City residents for each year of finalized data available, back to 2011 for births and 2012 for deaths. Citywide metrics and metrics by Philadelphia Planning District are provided for both natality and mortality metrics. A population estimates table is also provided, which includes the population counts used to calculate some metrics.The Vital Statistics - Social Determinants of Health (SDOH) dataset is also available in this citywide table.For questions about this dataset, contact epi@phila.gov. For technical assistance, email maps@phila.gov.
DVRPC manually adjusted TIGER MCD dataset by adding Philly Planning District boundaries. To get the Planning District boundaries, census tracts were dissolved into most appropriate CPA geography. (Planning Districts are sometime referred to as County Planning Areas at DVRPC) Updated in Jan 2023 to reflect Pine Valley/Pine Hill merger (Pine Valley was incorporated into Pine Hill) The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area. See https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc_Ch3.pdf for more information Downloaded from: https://www2.census.gov/geo/tiger/TGRGDB20/ on August 13, 2020
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Graph and download economic data for Resident Population in Bucks County, PA (PABUCK5POP) from 1970 to 2024 about Bucks County, PA; Philadelphia; PA; residents; population; and USA.
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Montgomery County, PA (B03002012E042091) from 2009 to 2023 about Montgomery County, PA; Philadelphia; PA; latino; hispanic; estimate; persons; 5-year; population; and USA.
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License information was derived automatically
Context
The dataset tabulates the New Philadelphia population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New Philadelphia. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 10,481 (59.68% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New Philadelphia Population by Age. You can refer the same here
In 2023, the population of the Philadelphia-Camden-Wilmington metropolitan area in the United States was about 6.25 million people. This was a slight increase from the previous year, when the population was about 6.24 million people.