This dataset includes county population estimates for the total population through July 1, 2023 (Vintage 2023 population estimates) and the July 1, 2024 through July 1, 2060 population projections (Vintage 2024 Population Projections). The July 1, 2023 population estimates are the latest certified population estimates for counties. Regional identifiers are also provided in order to show changes for MSAs, broad regions (not official), and Councils of Governments regional planning areas.

The China County-Level Data on Population (Census) and Agriculture, Keyed To 1:1M GIS Map consists of census, agricultural economic, and boundary data for the administrative regions of China for 1990. The census data includes urban and rural residency, age and sex distribution, educational attainment, illiteracy, marital status, childbirth, mortality, immigration (since 1985), industrial/economic activity, occupation, and ethnicity. The agricultural economic data encompasses rural population, labor force, forestry, livestock and fishery, commodities, equipment, utilities, irrigation, and output value. The boundary data are at a scale of one to one million (1:1M) at the county level. This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, University of California-Davis China in Time and Space (CITAS) project, and the Center for International Earth Science Information Network (CIESIN).

This data set provides the annual population of counties and states calculated from decennial U.S. censuses conducted from 1890-1950 and the Census Bureau’s annual projections of state population growth. The primary sources are “Population of States and Counties of the United States: 1790-1990,” published by the U.S. Bureau of the Census (1966); “Census U.S. Decennial County Population Data, 1900-1990” published by the NBER (2007); “Historical Statistics of Hawaii,” published by University Press of Hawaii (1977); and “Annual Estimates of the Population for the U.S. and States,” published by the U.S. Bureau of the Census from 1890 to 1950. The digitized, transparent, and consistent nature of this data and provides numerous benefits, including ease of access and greater potential for analysis.

This shows the number of vehicles that were registered by Washington State Department of Licensing (DOL) each month. The data is separated by county for passenger vehicles and trucks. DOL integrates National Highway Traffic Safety Administration (NHTSA) data and the Environmental Protection Agency (EPA) fuel efficiency ratings with DOL titling and registration data to create this information.

About this dataset

Context

The dataset tabulates the King County 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 King County 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 King County was 2.27 million, a 0.27% increase year-by-year from 2022. Previously, in 2022, King County population was 2.27 million, an increase of 0.55% compared to a population of 2.25 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of King County increased by 531,957. In this period, the peak population was 2.27 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the King County is shown in this column.
• Year on Year Change: This column displays the change in King County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 King County Population by Year. You can refer the same here

This map illustrates the variety of median project capacity sizes across the United States for wind projects whose total nameplate capacity is greater than or equal to 1 MW. The absence of projects in the southeastern United States is attributable to low average wind speeds (United States - Annual Average Wind Speed, AWS Truepower and National Renewable Energy Lab). Hurricane strength winds are not usable with current technology. Median project capacity is a function of the statewide capacity and the number of projects within the defined area. Data is from 2019 and is current as of Oct. 2020. Contact Sam Roodbar at (916) 651-0477 or John Hingtgen at (916) 510-9747 for questions. Data retrieved from Energy Information Administration (EIA-860) and Wind Performance Reporting System (WPRS)

The population and housing unit estimates are released on a flow basis throughout each year. Each new series of data (called vintages) incorporates the latest administrative record data, geographic boundaries, and methodology. Therefore, the entire time series of estimates beginning with the date of the most recent decennial census is revised annually, and estimates from different vintages of data may not be consistent across geography and characteristics detail.
When multiple vintages of data are available, the most recent vintage is the preferred data.

The vintage year (e.g., V2021) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified.

Additional estimates files may also be accessed via the Census Bureau application programming interface (API).

Additional information on the Census Bureau's Population Estimates Program (PEP) is available on the PEP's homepage Census Bureau's Population Estimates Program.

Notes: For vintage 2019: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. All geographic boundaries for the 2019 population estimates are as of January 1, 2019.

For vintage 2021: The estimates are developed from a base that incorporates the 2020 Census, Vintage 2020 estimates, and 2020 Demographic Analysis estimates. The estimates are developed from a base that incorporates the 2020 Census, Vintage 2020 estimates, and 2020 Demographic Analysis estimates.

For population estimates methodology statements, see http://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html">http://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html.

Sources: U.S. Census Bureau, Population Division Annual Estimates of the Resident Population for Counties in Pennsylvania: April 1, 2010 to July 1, 2019 (CO-EST2019-ANNRES-42) - Release Date: March 2020

Annual Estimates of the Resident Population for Counties in Pennsylvania: April 1, 2020 to July 1, 2021 (CO-EST2021-POP-42) - Release Date: March 2022

A dataset listing Ohio counties by population for 2024.

Graph and download economic data for Resident Population in Cuyahoga County, OH (OHCUYA5POP) from 1970 to 2024 about Cuyahoga County, OH; Cleveland; OH; residents; population; and USA.

Resident population of New York State and counties produced by the U.S. Census Bureau. Estimates are based on decennial census counts (base population), intercensal estimates, postcensal estimates and administrative records. Updates are made annually using current data on births, deaths, and migration to estimate population change. Each year beginning with the most recent decennial census the series is revised, these new series of estimates are called vintages.

Of the total population in Sweden of 10.55 million people, around half resided in the counties Stockholm, Västra Götaland or Skåne. This is also the three counties where the three largest cities in Sweden, Stockholm, Göteborg, and Malmö, are located. In the capital region Stockholm county, there lived nearly 2.5 million inhabitants in 2023. Västra Götaland county had close to 1.8 million inhabitants, while Skåne county, the southernmost region, had roughly 1.4 million inhabitants. The island Gotland had the lowest number of inhabitants with only 60,000.

The highest population density

Stockholm, Skåne and Västra Götaland were also the three counties in Sweden with the highest population density. In 2022, 374.6 inhabitants per square kilometer lived in Stockholm county, while the corresponding figures for Skåne and Västra Götaland were 129 and 73.9, respectively.

The highest rents

Unsurprisingly. Stockholm county is the county in Sweden with the highest rents for rented dwellings, with average prices for one square meter amounting to over 1,400 Swedish kronor in 2022. The lowest average renting prices were in the northwestern region Jämtland, one square meter costing 1,000 Swedish kronor.

Graph and download economic data for Resident Population in Cook County, IL (ILCOOK1POP) from 1970 to 2024 about Cook County, IL; Chicago; IL; residents; population; and USA.

Graph and download economic data for Resident Population in Alachua County, FL (FLALAC1POP) from 1970 to 2024 about Alachua County, FL; Gainesville; residents; FL; population; and USA.

Graph and download economic data for Resident Population in Oklahoma County, OK (OKOKLA9POP) from 1970 to 2024 about Oklahoma County, OK; Oklahoma City; OK; residents; population; and USA.

A dataset listing Illinois counties by population for 2024.

Graph and download economic data for Resident Population in Nassau County, NY (NYNASS9POP) from 1970 to 2024 about Nassau County, NY; New York; NY; residents; population; and USA.

This data layer shows the size classification of each county based on population statistics published in the most recent edition of the Florida Statistical Abstract.Section 420.5087(1), Florida Statutes, requires State Apartment Incentive Loan (SAIL) program funds to be made available based on the need in each of the following categories of counties as determined by using the population statistics published in the most recent edition of the Florida Statistical Abstract:County population equal to or greater than 825,000 (classified as Large Counties)County population greater than 100,000 but less than 825,000 (classified as Medium Counties); and County population less than or equal to 100,000 (classified as Small Counties).This data layer shows the size classification of each county in Florida and is updated annually.

Graph and download economic data for Resident Population in Fairfax County, VA (VAFAIR5POP) from 1970 to 2024 about Fairfax County, VA; Washington; VA; residents; population; and USA.

About this dataset

Context

The dataset tabulates the San Diego County 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 San Diego County 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 San Diego County was 3.27 million, a 0.22% decrease year-by-year from 2022. Previously, in 2022, San Diego County population was 3.28 million, an increase of 0.08% compared to a population of 3.27 million in 2021. Over the last 20 plus years, between 2000 and 2023, population of San Diego County increased by 443,659. In this period, the peak population was 3.33 million in the year 2018. 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the San Diego County is shown in this column.
• Year on Year Change: This column displays the change in San Diego County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 San Diego County Population by Year. You can refer the same here

Graph and download economic data for Resident Population in Monroe County, IN (INMONR5POP) from 1970 to 2024 about Monroe County, IN; Bloomington; IN; residents; population; and USA.