A dataset listing Maine cities by population for 2024.

Resident Population in Maine was 1405.01200 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Maine reached a record high of 1405.01200 in January of 2024 and a record low of 695.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Maine - last updated from the United States Federal Reserve on March of 2025.

This database provides population data since 1876 to the last update for the municipalities of Maine-et-Loire and the neighbouring departments. Census results since 2006 compare correctly with each other only over periods of at least 5 years apart. The data are distributed according to the geography in force as of 1 January 2020. Sources Insee

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 and beyond, 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.

The 2022 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2022, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File 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 2010 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.

Tracts00 was created to facilitate mapping, analysis, and use of Census 2000 data with other Maine GIS data layers. Other Census 2000 data layers depict the various levels of Census 2000 geography. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity. 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.

U.S. Census Bureau QuickFacts statistics for Old Town city, Maine. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

The Maine Constitution requires the Maine Legislature to reapportion voting districts every ten years, using the most recent United States Census data. This feature layer delineates the boundaries of the Maine House districts and is the authoritative GIS data layer representing the extent of each district. These data are not a ground survey of precise boundaries; if there are questions about the location of an area of interest regarding the appropriate district, please contact the Maine Secretary of State's Office: https://www.maine.gov/sos/cec/elec/index.html.Voting-age population data are available in table format here: https://data.census.gov/cedsci/table?q=United%20States&t=Age%20and%20Sex&g=0500000US23005%241000000&tid=DECENNIALPL2020.P3. For additional demographic data, please visit the U.S. Census website at https://data.census.gov.Disclaimer: This data layer represents the current status of the Maine reapportionment and redistricting process for the Maine House Districts, at the closure of the April 2022 Legislative session.

U.S. Census Bureau QuickFacts statistics for Rockland city, Maine. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

A dataset showing the population of 04103 between 2010 and 2020.

U.S. Census Bureau QuickFacts statistics for Knox County, Maine. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

A dataset showing the population of 04106 between 2010 and 2020.

U.S. Census Bureau QuickFacts statistics for Bangor city, Maine. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for South Portland city, Maine. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

The Maine Constitution requires the Maine Legislature to reapportion voting districts every ten years, using the most recent United States Census data. This feature layer delineates the boundaries of the Maine State Senate districts and is the authoritative GIS data layer representing the extent of each district. These data are not a ground survey of precise boundaries; if there are questions about the location of an area of interest regarding the appropriate district, please contact the Maine Secretary of State's Office: https://www.maine.gov/sos/cec/elec/index.html.Voting-age population data are available in table format here: https://data.census.gov/cedsci/table?q=United%20States&t=Age%20and%20Sex&g=0500000US23005%241000000&tid=DECENNIALPL2020.P3. For additional demographic data, please visit the U.S. Census website at https://data.census.gov.Disclaimer: This data layer represents the current status of the Maine reapportionment and redistricting process for the Maine House Districts, at the closure of the April 2022 Legislative session.

A dataset showing the population of 04401 between 2010 and 2020.

BLKS00 contains Census 2000 Block boundaries and population by blocks for the state of Maine at 1:100,000 scale. Census Block boundaries are statistical subdivisions of counties for the reporting of decennial census data. The Census 2000 TIGER/Line Files are the primary source for this data set. BLKS00 is built to POLYGON topology and contains the attributes FIPSSTCO, COUNTY, COUSUB00, COUSUB00NA(ME), TRCT00, BLKGRP00, PLC00, PLC00NA(ME), BLK00, BLK00NUM, BLKNAME, STFIDBLK00, POP00, CENTAG, USDSTRCT03, SNDSTRCT03, and HSDSTRCT03. The item STFIDBLK00 is a calculated combination of these items that uniquely identifies a Census Block within the State of Maine. The item CENTAG was added for correct labeling and/or statistics where multiple polygons contain the same block number, as is the case in some coastal communities where islands are depicted. The numeric item POP00 was populated and proofed from the Census 2000 Redistricting Data (P.L. 94-171) Summary File. The item COUSUB00 contains the Federal Information Processing Standard (FIPS) code a single 5 character code field used by the Bureau of the Census to identify the Census County Division to which the block belongs. COUSUBNA has been added to improve convenience in labeling. Likewise TRCT00 (Tract), BLKGRP00 (Block Group), and PLC00 (Designated Place if applicable), and PLC00NA for Designated Place name labeling. All Census geographies, cross tabulated in the dataset, can be mapped using the ID included for each level, i.e. For Census County Subdivisions COUSUB00, Census Tracts STFIDTRCT00, Census Block Groups STFIDBLKGRP00, Census Designate Places PLC00 and Census Blocks STFIDBLK00. Unique-ids for each Census geographic unit can be used to relate or join these datasets to extended Census data files, counts, tabulations, and reference tables. For more information on related files that have been published at the Maine GIS Data Catalog see the "Tables" link at http://megis.maine.gov/catalog/

U.S. Census Bureau QuickFacts statistics for Lincoln County, Maine. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.