The population count of Old Orchard Beach, ME was 8,809 in 2018.
Population
Population Change
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Demographics and Population Datasets Involving Old Orchard Beach, ME
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Virginia Employment Status of the Population by Sex by Race and by Age by Year
data.virginia.gov | Last Updated 2022-12-09T15:15:31.000Z2004 to 2021 Virginia Employment Status of the Civilian Non-Institutional Population by Sex, by Race, Hispanic or Latino ethnicity, and detailed by Age, by Year. Annual averages, numbers in thousands. U.S. Bureau of Labor Statistics; Local Area Unemployment Statistics, Expanded State Employment Status Demographic Data Data accessed from the Bureau of Labor Statistics website (https://www.bls.gov/lau/ex14tables.htm) Statewide data on the demographic and economic characteristics of the labor force are published on an annual-average basis from the Current Population Survey (CPS), the sample survey of households used to calculate the U.S. unemployment rate (https://www.bls.gov/cps/home.htm). For each state and the District of Columbia, employment status data are tabulated for 67 sex, race, Hispanic or Latino ethnicity, marital status, and detailed age categories and evaluated against a minimum base, calculated to reflect an expected maximum coefficient of variation (CV) of 50 percent, to determine reliability for publication. The CPS sample was redesigned in 2014–15 to reflect the distribution of the population as of the 2010 Census. At the same time, BLS developed improved techniques for calculating minimum bases. These changes resulted in generally higher minimum bases of unemployment, leading to the publication of fewer state-demographic groups beginning in 2015. The most notable impact was on the detailed age categories, particularly the teenage and age 65 and older groups. In an effort to extend coverage, BLS introduced a version of the expanded state employment status demographic table with intermediate age categories, collapsing the seven categories historically included down to three. Ages 16–19 and 20–24 were combined into a 16–24 year-old category, ages 25–34, 35–44, and 45–54 were combined into a 25–54 year-old category, and ages 55–64 and 65 and older were combined into a 55-years-and-older category. These intermediate age data are tabulated for the total population, as well as the four race and ethnicity groups, and then are evaluated against the unemployment minimum bases. The more detailed age categories continue to be available in the main version of the expanded table, where the minimum base was met. Additional information on the uses and limitations of statewide data from the CPS can be found in the document Notes on Using Current Population Survey (https://www.bls.gov/lau/notescps.htm) Subnational Data and in Appendix B of the bulletin Geographic Profile of Employment and Unemployment (https://www.bls.gov/opub/geographic-profile/home.htm).
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NYSERDA Low- to Moderate-Income New York State Census Population Analysis Dataset: Average for 2013-2015
data.ny.gov | Last Updated 2019-11-15T22:30:02.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
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2010 Census/ACS Detailed Block Group Data
data.kcmo.org | Last Updated 2021-11-12T14:22:17.000Zdetailed characteristics of people and housing for individual 2010 census block groups
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2010 Census/ACS Basic Block Group Data
data.kcmo.org | Last Updated 2021-11-12T14:15:42.000Zbasic characteristics of people and housing for individual 2010 census block groups
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2013-2017 American Community Survey Detailed Census Tract Data
data.kcmo.org | Last Updated 2023-03-24T19:40:40.000ZDETAILED CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2013-2017 American Community Survey (ACS). The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2013-2017 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.
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2015-2019 American Community Survey Detailed Census Tract Data
data.kcmo.org | Last Updated 2023-03-24T21:11:36.000ZDETAILED CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2015-2019 American Community Survey (ACS). The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2015-2019 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.
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2015-2019 American Community Survey Basic Census Tract Data
data.kcmo.org | Last Updated 2023-03-24T21:11:24.000ZBASIC CHARACTERISTICS OF PEOPLE AND HOUSING FOR INDIVIDUAL 2010 CENSUS TRACT PORTIONS INSIDE OR OUTSIDE KCMO - Some demographic data are from the 2010 Census while other data are from the 2015-2019 American Community Survey - ACS. The ACS replaces what until 2000 was the Long Form of the census; both have been based on surveys of a partial sample of people. The ACS sample is so small that surveys from five years must be combined to be reliable. The 2015-2019 ACS is the most recent grouping of 5 years of data. ACS data have been proportioned to conform with 2010 Census total population and total households.
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2021 CEV: Current Population Survey Civic Engagement and Volunteering Supplement
data.americorps.gov | Last Updated 2023-05-01T20:55:36.000ZThe Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September of 2021. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. For topline findings from the 2021 CEV, please see: 1) Volunteering and Civic Life in America research https://americorps.gov/about/our-impact/volunteering-civic-life 2) National rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/rhng-qtzw 3) National rates of all measures by demographics https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/bhmf-84dy 4) State-level rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-State-Level-Rates-of-All-Me/4r6x-re58 We encourage all users to download and review the following resources provided as attachments to this dataset (click on "Show More" to view): 1) 2021 CEV Top Line Findings - slides from January 27, 2023 presentation of top line findings 2) 2021 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2021 CEV dataset 3) CEV FAQs – answers to frequently asked technical questions about the CEV 4) 2021 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta) and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps 5) 2021 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) 2021 CEV Nonresponse Analysis – technical report produced by U.S. Census Bureau 7) 2021 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)
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Point In Time Homeless Survey Data
data.sonomacounty.ca.gov | Last Updated 2019-07-12T18:26:35.000ZThe County of Sonoma conducts an annual homeless count for the entire county. The survey data is derived from a sample of about 600 homeless persons countywide per year. The resulting information is statistically reliable only for the county as a whole, not for individual locations. The exception is the City of Santa Rosa, where the sample taken within the city is large enough to be predictive of the overall homeless population in that city.
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2019 CEV: Current Population Survey Civic Engagement and Volunteering Supplement
data.americorps.gov | Last Updated 2023-05-01T20:53:51.000ZThe Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September of 2019. The CEV can support evidence-based decision making and efforts to understand how people make a difference in communities across the country. For topline findings from the 2019 CEV, please see: 1) Key findings summary report https://americorps.gov/sites/default/files/document/2019%20CPS%20CEV%20findings%20report%20CLEAN_10Dec2021_508.pdf 2) National rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/rhng-qtzw 3) National rates of all measures by demographics https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-National-Rates-of-All-Measu/bhmf-84dy 4) State-level rates of all measures https://data.americorps.gov/Volunteering-and-Civic-Engagement/2017-2021-CEV-Findings-State-Level-Rates-of-All-Me/4r6x-re58 We encourage all users to download and review the following resources provided as attachments to this dataset: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) 2019 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta) and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps 3) 2019 Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 4) 2019 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)