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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Dunnellon population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Dunnellon. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 1,245 (53.27% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Dunnellon Population by Age. You can refer the same here
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/25941/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/25941/terms
The purpose of this project was to develop and pilot test an interviewer-administered self-report questionnaire that might be used in a subsequent national survey to scientifically establish the prevalence of second-party elder abuse or neglect. The project focused only on those living in the communities who were capable of accurately self-reporting their knowledge, attitudes, and practices. Through focus groups of adult protective services and abuse hot-line staff, questionnaire items were generated and later tested through interviews of clients of aging services in Florida. Aging services case managers screened and recruited 95 clients, aged 65 and older, with 25 clients who had reports of mistreatment within the hotline database, and 70 comparison clients (no reports of mistreatment). Groups were matched by gender and age within 10 years. The interviews were conducted over an 18-month period, of which 3 interviews were conducted in-person and 92 interviews were conducted by telephone. All interviews were conducted by trained interviewers of the research team. Twenty-six interviews were conducted in Spanish. Interviews focused on demographics; activities of daily living; 19 possible types of elder abuse or neglect within the previous year, and, for each positive response, questions about the perpetrators and their relationship to the older adult; a description of when the mistreatment happened, how often, what the respondent did, and whether it was related to the perpetrator's anger, neglect, or carelessness.
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Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Dunnellon population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Dunnellon. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 1,245 (53.27% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Dunnellon Population by Age. You can refer the same here