About this dataset

Context

The dataset tabulates the Columbus 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 Columbus 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 Columbus was 913,175, a 0.54% increase year-by-year from 2022. Previously, in 2022, Columbus population was 908,238, an increase of 0.56% compared to a population of 903,184 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Columbus increased by 198,191. In this period, the peak population was 913,175 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 Columbus is shown in this column.
• Year on Year Change: This column displays the change in Columbus 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 Columbus Population by Year. You can refer the same here

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/.

About this dataset

Context

The dataset tabulates the Columbus Grove 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 Columbus Grove 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 Columbus Grove was 2,131, a 0.37% decrease year-by-year from 2022. Previously, in 2022, Columbus Grove population was 2,139, a decline of 0.23% compared to a population of 2,144 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Columbus Grove decreased by 57. In this period, the peak population was 2,188 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 Columbus Grove is shown in this column.
• Year on Year Change: This column displays the change in Columbus Grove 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 Columbus Grove Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Columbus, OH population pyramid, which represents the Columbus 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Columbus, OH, is 26.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Columbus, OH, is 15.6.
• Total dependency ratio for Columbus, OH is 42.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Columbus, OH is 6.4.

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

Variables / Data Columns

• Age Group: This column displays the age group for the Columbus population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Columbus for the selected age group is shown in the following column.
• Population (Female): The female population in the Columbus for the selected age group is shown in the following column.
• Total Population: The total population of the Columbus for the selected age group is shown in the following column.

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 Columbus Population by Age. You can refer the same here

Graph and download economic data for Total Gross Domestic Product for Columbus, OH (MSA) (NGMP18140) from 2001 to 2023 about Columbus, OH, industry, GDP, and USA.

Renters paid about ***** U.S. dollars in Columbus, Ohio, for one- and two-bedroom apartments at the end of 2023. The median rent increased by nearly five percent between December 2022 and December 2023. Among the different states in the U.S., Ohio ranks as one of the least expensive rental markets in 2023.

Graph and download economic data for All Employees: Total Nonfarm in Columbus, OH (MSA) (COLU139NAN) from Jan 1990 to Aug 2025 about Columbus, payrolls, OH, nonfarm, employment, and USA.

About this dataset

Context

The dataset tabulates the Columbus 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 Columbus 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 Columbus was 907,971, a 0.54% increase year-by-year from 2021. Previously, in 2021, Columbus population was 903,051, a decline of 0.35% compared to a population of 906,266 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Columbus increased by 192,987. In this period, the peak population was 907,971 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. 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 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Columbus is shown in this column.
• Year on Year Change: This column displays the change in Columbus 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 Columbus Population by Year. You can refer the same here

Find the updated USDA growing zone for Columbus, OH.

Comprehensive demographic dataset for Columbus, OH, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

View quarterly updates and historical trends for Columbus, OH House Price Index. Source: Federal Housing Finance Agency. Track economic data with YCharts …

This map layer shows community development authorities in the Columbus area. Community development authorities are independent public entities created to finance infrastructure improvements and encourage new economic development. Community development authorities are authorized by Chapter 349 of the Ohio Revised Code. Individual community development authorities are recognized by ordinance of the Columbus City Council.

Comprehensive demographic dataset for Franklinton, Columbus, OH, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

README Structural and functional MRI dataset from the Adolescent Health and Development in Context (AHDC) study in Columbus, Ohio with 2 waves of data

Authors: Baldwin M. Way (Principal Investigator), Christopher R. Browning, Dylan D. Wagner, Jodi L. Ford, Bethany Boettner, Ping Bai.

Study Overview These data were collected as part of a longitudinal study of adolescent health and well-being collected in Columbus, Ohio (Adolescent Health and Development in Context Study). The larger goals of the project (R01DA042080) were to understand how geospatial exposures predicted substance use. More specifically, Specific Aims 1a & 1b were to longitudinally and cross-sectionally determine how neural function and structure is reshaped by EtV in the community (1a) and substance use (1b). Specific Aim 2 was to use baseline as well as longitudinal neural changes to predict subsequent substance use and identify neural mediators. Specific Aim 3 was to identify risk and resilience factors that alter the effects of community EtV on the neural embedding of EtV as well as the neural prediction of substance use outcomes. The participants in this longitudinal neuroimaging study were recruited from the Adolescent Health and Development in Context study (Boettner, B., Browning, C. R., & Calder, C. A. (2019). Feasibility and validity of geographically explicit ecological momentary assessment with recall‐aided space‐time budgets. Journal of Research on Adolescence, 29(3), 627-645.).

Inquiries about this dataset should be directed to: way.37@osu.edu This dataset is licensed under the Creative Commons Zero (CC0) v1.0 License.

Study Area The study area is a contiguous space within the Interstate 270 loop outerbelt freeway, encompassing a majority of the city of Columbus as well as several suburban municipalities.

Sampling The sampling frame was based on a combination of a vendor-provided list of households in the study area with high probability of meeting eligibility criteria and directory data from public school districts represented in the study area. Households were mailed a letter or postcard describing the study, followed by interviewer calls to the household to solicit participation in the study. Once eligibility was confirmed with the household, one randomly selected youth aged 11-17 and one primary caregiver (English speaking) were recruited to participate in the study.

The racial/ethnic identity of the first wave of the AHDC study was 1,405 youth with 47% white, 38% Black, 5% Hispanic/Latino, 8% multiracial, and 2% Asian. The sample closely approximates the population in the study area with respect to household income of families with children and youth racial/ethnic composition, with the exception that the AHDC sample has a somewhat higher percent of youth who identified as Black compared with the 2009-2013 American Community Survey (ACS) estimates of the area.

For Wave 3 (the first neuroimaging wave), in addition to the participants recruited from the original sample, a refresher sample was recruited. These participants were recruited from within the families of the original sample (i.e. siblings) as well as using the same methods of recruiting the initial wave from low-income census tracts as well as tabling at schools in these tracts.

Study Design The study employs a prospective cohort design in which the data on youth and caregivers were collected at multiple time points. The Wave 1 field period began in spring 2014 and was completed in summer 2016. Wave 2 was conducted between January and December 2016. Wave 3 (the first imaging wave) was conducted between July of 2018 and March of 2020, concluding with the cessation of in person activities due to COVID-19 related restrictions on in-person activities. Wave 4 was run between July and October of 2020. Wave 5 was run between March and July of 2021. Wave 6 (the 2nd imaging wave) was run between May of 2022 and January of 2024.

Study Procedures Within each wave, participant data were collected over a weeklong period. An Entrance Survey with both a focal youth and his or her caregiver was followed by a seven-day smartphone-based Global Positioning System (GPS) tracking and Ecological Momentary Assessment (EMA) data collection period (EMA Week), and either a final Exit Survey at the end of the week (Waves 1 and 2) or a session at the Center for Cognitive and Behavioral Brain Imaging at the Ohio State University (Waves 3 and 6). Waves 4 and 5 were slightly different due to restrictions on in-person activity. Wave 4 consisted of a phone interview and online survey that was completed remotely with participants downloading an app on their phone for responding to EMAs and GPS tracking. Wave 5 only consisted of an online survey and the responding to EMAs with GPS tracking.

The Entrance Survey was collected at the initial in-home visit with adolescent participants and their caregivers. It included a wide range of measures across social, economic, psychological, health, and behavioral domains. Both adolescent and caregiver participants reported on geographic location of and experiences at routine activities (e.g. school, work, church, stores, relative’s house).

The real-time Ecological Momentary Assessment (EMA) surveys were collected via self-administered survey on project-provided smartphones. The study phones also passively collected GPS spatial coordinates during the seven-day EMA collection period. Youth respondents were prompted up to five times a day, and asked to report on their location, network partner presence, risk behaviors such as substance use, mood, surrounding social climate, and sleep patterns.

Waves 1 and 2: A second visit, the Exit Survey, gathered follow-up information about the EMA week. The youth completed an interactive Space-Time Budget with the interviewer to collect detailed activity data on five days – the three most recent weekdays and two weekend days. The processed GPS data results in summarized stationary and travel periods during those five days, along with activity types and network partner presence. Concurrently, caregivers completed a self-administered survey about perceptions of social climate and safety in their neighborhood and at other routine locations.

Waves 3 and 6: The second visit at the conclusion of the week of GPS tracking and EMA sampling was conducted at the Ohio State Center for Cognitive and Behavioral Brain Imaging. Participants completed an initial battery of questionnaires before scanning as well as had the option of providing a hair sample for cortisol or substance use measurement and blood sample for measurement of immune related markers. Participants also completed questionnaires after the scan.

Participants 309 youths participated in the initial home interviews in Wave 3. 290 of these youths came to the imaging center and 271 adolescents were successfully scanned. Of these 271, 158 were in Wave 1 of the AHDC study, while 113 were part of the refresher sample and were thus new to Wave 3.

For Wave 6, there were 144 individuals who came to the imaging center and 120 were successfully scanned. Of these, 110 were also scanned at wave 3, while 10 of these were individuals who were scanned for the first time.

MRI Tasks In the first wave of imaging data (2018 to 2020; Wave 3 of the AHDC parent study), the task sequence was the same for all youths. The time of each run is listed after each and then in parentheses is the number of subjects after quality control checks (e.g. motion). 1. MPRAGE: 6:58 min (n = 249) 2. T2: 3:36 min 3. Resting State Scan (eyes open, rest): 5 min 4. Emotional Faces Task (Surprise, Angry, Fear, Neutral): 4:30 min x 2 runs (n = 214) 5. Cue Reactivity Task (Food, Marijuana, Flavored E-Cigs, Alcohol, and Outdoor images): 5:40 min x 2 runs (n = 215) 6. DTI: 6:55 min 7. Resting State Scan (eyes open, rest): 5 min 8. Field Map: 1:33 min 9. Monetary Incentive Delay Task: 5:23 min x 2 runs (n = 207) 10. Working Memory Task: 4:51 min x 2 runs (n = 183) These latter two tasks used the same Eprime script as used in the ABCD study.

In the second imaging wave run between 2022 and 2024 (Wave 6 overall), there was a slight change to the task order for all participants in order to reduce the probability of youths falling asleep during the first resting state scan. The scan order for the second wave of imaging data was T1, T2, Emotional Faces Task, Cue Reactivity, Resting State 1, MID, Resting State 2, Field Map, Nback task.

Caution This dataset is for research purposes only. The data have been anonymized, and users must not perform analyses aimed at re-identifying individual subjects.

Acknowledgements. We are grateful to all of the youth and their caregivers who participated in the study. The Adolescent Health and Development in Context study (Waves 1 and 2) was funded by the National Institutes for Drug Abuse (R01DA032371; Browning, PI) as well as the Eunice Kennedy Shriver National Institute on Child Health and Human Development (Boettner, R03HD096182; Calder, R01HD088545; Hayford, the Ohio State University Institute for Population Research, 2P2CHD058484), and the William T. Grant Foundation). Participants for the imaging data (Waves 3 and 6) were recruited from this sample, which was generously supported by a grant from the National Institutes of Drug Abuse (R01DA042080; Way, PI). There were two waves of data collected during COVID (Waves 4 and 5) that were funded by a supplemental grant from the National Institutes of Drug Abuse (DA042080-03S1; Way, PI). Assay of head hair samples for cortisol during the imaging waves (Waves 3 and 6) was funded by a grant from the John Templeton Foundation (ID: 61803; Way, PI). Head hair cortisol and salivary cortisol collection and assays for Waves 1 and 2 were funded by R21DA034960 (Ford, PI).

Comprehensive demographic dataset for Polaris, Columbus, OH, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Qualified Opportunity Zones are a new community development program established by Congress in the Tax Cuts and Jobs Act of 2017. This program encourages new, long-term investment in property or businesses in specific areas around the City through federal tax incentives for investors. To take advantage of the program, investors must reinvest new capital gains into Qualified Opportunity Funds which are spent in Qualified Opportunity Zones.https://www.columbus.gov/development/economic-development/Opportunity-Zone-Programhttps://opportunityzones.ohio.gov/wps/portal/gov/ooz/home

About this dataset

Context

The dataset tabulates the data for the Columbus Grove, OH population pyramid, which represents the Columbus Grove 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Columbus Grove, OH, is 39.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Columbus Grove, OH, is 33.4.
• Total dependency ratio for Columbus Grove, OH is 73.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Columbus Grove, OH is 3.0.

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

Variables / Data Columns

• Age Group: This column displays the age group for the Columbus Grove population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Columbus Grove for the selected age group is shown in the following column.
• Population (Female): The female population in the Columbus Grove for the selected age group is shown in the following column.
• Total Population: The total population of the Columbus Grove for the selected age group is shown in the following column.

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 Columbus Grove Population by Age. You can refer the same here

Graph and download economic data for All-Transactions House Price Index for Columbus, OH (MSA) (ATNHPIUS18140Q) from Q2 1976 to Q2 2025 about Columbus, OH, appraisers, HPI, housing, price index, indexes, price, and USA.

This layer depicts properties that have passed a lead clearance evaluation in the Lead Safe Columbus Program. The units shown were deemed lead-safe based on a lead clearance evaluation in the month shown. “Lead-safe” means that there was no deteriorated lead-based paint, no lead-contaminated dust, and no exposed lead-contaminated soil identified at the time of the lead evaluation. This does not mean that the units listed are vacant or available at this time. Please contact the owner of the property for rental information. With local and grant funding through the U.S. Department of Housing and Urban Development, Office of Healthy Homes and Lead Hazard Control, the mission of the Lead Safe Columbus Program is to generate lead-safe and healthy affordable housing and to prevent lead poisoning of children and adults in Columbus neighborhoods. This program may provide funding to eligible property owners for lead-based paint hazard control and addressing healthy homes hazards in tenant or owner occupied units. More information can be obtained at https://www.columbus.gov/development/housing-division/Lead-Safe-Columbus_M/.