About this dataset

Context

The dataset tabulates the Ohio population by year. The dataset can be utilized to understand the population trend of Ohio.

Content

The dataset constitues the following datasets

• Ohio Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

In 2023, about 13.2 percent of the population of Ohio was between the ages of 25 and 34 years old. A further 12.6 percent of the population of Ohio was between the ages of 35 and 44 years old in that year.

In 2023, about 11.79 million people lived in Ohio. This represented a slight increased when compared to the previous year. In 1960, the resident population of Ohio stood at about 9.71 million people.

Graph and download economic data for Resident Population in Ohio (OHPOP) from 1900 to 2024 about OH, residents, population, and USA.

In 2023, about 566,230 people in Ohio were of Hispanic or Latino origin, and about 8.91 million people were white. Furthermore, about 9,053 American Indian or Alaska Native people resided in Ohio in that same year.

About this dataset

Context

The dataset tabulates the Ohio 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 Ohio 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 Ohio County was 41,194, a 0.65% decrease year-by-year from 2022. Previously, in 2022, Ohio County population was 41,463, a decline of 0.92% compared to a population of 41,846 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Ohio County decreased by 6,155. In this period, the peak population was 47,349 in the year 2000. 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 Ohio County is shown in this column.
• Year on Year Change: This column displays the change in Ohio 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 Ohio County Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Ohio County by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Ohio County across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.38% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Ohio County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Ohio County total population. 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 Ohio County Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Resident Population in Clark County, OH (OHCLAR5POP) from 1970 to 2024 about Clark County, OH; Springfield; OH; residents; population; and USA.

This graph shows the population density in the federal state of Ohio from 1960 to 2018. In 2018, the population density of Ohio stood at 286.1 residents per square mile of land area.

Graph and download economic data for Resident Population in Hamilton County, OH (OHHAMI1POP) from 1970 to 2024 about Hamilton County, OH; Cincinnati; OH; residents; population; and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Ohio County, IN (B01002001E018115) from 2009 to 2023 about Ohio County, IN; Cincinnati; age; IN; median; 5-year; and USA.

In 2022, the population of the Columbus metropolitan area in Ohio was about 2.18 million people. This was a small increase from the previous year, when the population was 2.16 million people.

The 2020 cartographic boundary shapefiles 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. 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.

In 2021, 5.4 percent of the total population of Ohio was uninsured. The largest part of Ohio's population was insured through employers. This statistic depicts the health insurance status distribution of the total population in Ohio in 2021.

Graph and download economic data for Resident Population in Erie County, OH (OHERIE5POP) from 1970 to 2024 about Erie County, OH; Sandusky; OH; residents; population; and USA.

Graph and download economic data for Resident Population in Delaware County, OH (OHDELA5POP) from 1970 to 2024 about Delaware County, OH; Columbus; OH; residents; population; and USA.

Prior to the American Civil War, New York, Pennsylvania, and Ohio were the most populous states in the Union, each with between two and four million inhabitants. Industrialization in the north was one of the key drivers of population growth during this period, through both internal and external migration, and Illinois saw the largest population growth during the 1860s largely due to the expansion of industry around Chicago. The gradual industrialization of the north in the early 1800s also contributed to the decline of slavery in the Union states, and the economic differences between the Union and Confederacy was a key factor in both the build-up to the Civil War, as well as the Union's eventual victory in 1865.

Graph and download economic data for Resident Population in Columbus, OH (MSA) (COLPOP) from 2000 to 2024 about Columbus, OH, residents, population, and USA.

About this dataset

Context

The dataset tabulates the Columbus population by year. The dataset can be utilized to understand the population trend of Columbus.

Content

The dataset constitues the following datasets

• Columbus, OH Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

Graph and download economic data for Resident Population in Ohio County, KY (KYOHPOP) from 1970 to 2024 about Ohio County, KY; KY; residents; population; and USA.