Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Dorset town 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 Dorset town. 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 1,133 (57.54% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Dorset town Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Dorset town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Dorset town across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 52.51% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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
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 Dorset town Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Dorset town by race. It includes the population of Dorset town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Dorset town across relevant racial categories.
Key observations
The percent distribution of Dorset town population by race (across all racial categories recognized by the U.S. Census Bureau): 91.77% are white, 0.91% are Black or African American, 1.88% are Asian and 5.43% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Dorset town Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Dorset, Vermont population pyramid, which represents the Dorset town 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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 Dorset town Population by Age. You can refer the same here
This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.
Zooplankton for all 8 Dorset lakes (last updated version of lakezoo.txt: 21 January 1997) Pelagic crustacean zooplankton were sampled in each lake on a monthly basis (fortnightly in harp and plastic) from 1978 to 1992 (1978 to 1995 in harp and plastic). These data are in tab-delimited ASCII format, without column headings, in lakezoo2.txt. Samples with missing biomass estimates in the years 1978 to 1981 were counted using a different protocool than the rest of the samples.
Updated zooplankton data for 7/8 Dorset lakes in 1993-96. Pelagic crustacean zooplankton were sampled in each lake on a monthly basis. The data is in post93zoodata.csv.
Chemistry for the Dorset lakes (Blue Chalk, Chub, Crosson, Dickie, Heney, Red Chalk). Samples for chemical analysis are taken from each lake with a peristaltic pump using Tygon tubing. Samples of water are taken at 2 metre intervals, starting at 1 metre. Aliquots of that water, proportional to the volume of the stratum each depth represents are combined for the epilimnion, the metalimnion and the hypolimnion for chemical analysis. The mean annual epilimnetic data is presented in the file LAKECHEM.TXT. These data are in ASCII format and tab delimited as requested.
This dataset identifies areas where the distribution of Great Crested Newts (GCN) has been categorised into district zones relating to GCN occurrence and the level of impact development is likely to have on this species. Red zones contain key populations of GCN, which are important on a regional, national or international scale and include designated Sites of Special Scientific Interest for GCN. Amber zones contain main population centres for GCN and comprise important connecting habitat that aids natural dispersal. Green zones contain sparsely distributed GCN and are less likely to contain important pathways of connecting habitat for this species. White zones contain no GCN. However, as most of England forms the natural range of GCN, white zones are rare and will only be used when it is certain that there are no GCN. Full metadata can be viewed on data.gov.uk
https://www.gov.uk/government/publications/natural-englands-maps-and-data-terms-of-use/terms-of-use-for-natural-englands-maps-and-datahttps://www.gov.uk/government/publications/natural-englands-maps-and-data-terms-of-use/terms-of-use-for-natural-englands-maps-and-data
This dataset identifies areas where the distribution of great crested newts (GCN) has been categorised into zones relating to GCN occurrence and the level of impact development is likely to have on this species. Red zones contain key populations of GCN, which are important on a regional, national or international scale and include designated Sites of Special Scientific Interest for GCN. Amber zones contain main population centres for GCN and comprise important connecting habitat that aids natural dispersal. Green zones contain sparsely distributed GCN and are less likely to contain important pathways of connecting habitat for this species. White zones contain no GCN. However, as most of England forms the natural range of GCN, white zones are rare and will only be used when it is certain that there are no GCN.
Cleveland police force, in North East England, had the highest arrest rate among police forces in England and Wales in 2023/24, at 19.8 arrests per 1,000 people. Durham Police, also in the North East, had the second-highest arrest rate, at 18.4 arrests per 1,000 people, while Dorset Police Force, in South West England, had just 6.7 arrests per 1,000 population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
N: Sample size; TMRCA: Time since most recent common ancestor; y.a: Years ago; CI: Confidence interval (years).The estimated time to the most recent common ancestor (TMRCA) for the Y-HGs Q-NWT01 (xM265) and Q-M3 (xM19, M194, L663, SA01 and L766) in the Greenlandic population.
Two Focal Populations sheet: * Column A indicates the number of individuals sampled within each population * Column B indicates the population names and the identification of each sampled individual. The two lava flow populations are AS-1 and AS-2. * Columns C and D include the x and y coordinates of mapped individuals within the two lava flow sites * The remaining columns contain co-dominant genotypic data from nine allozyme loci, with the names of loci indicated in row 1. * Alleles range from 1 to 8 * Missing data are indicated as -9 Three Regional Populations sheet: * Column A indicates the number of individuals sampled within each of three regional populations of Sobralia chrysostoma. * Column B indicates the population names. The three regional populations are SC-1, SC-2 and SC-3. * The remaining columns contain co-dominant genotypic data from nine allozyme loci, with the names of loci indicated in row 1. * Alleles range from 1 to 6 * Missing data are indicated as -9
In 2023/24, there were 181,421 drug offences in England and Wales, compared with 179,467 in the previous year. For the period between 2002/03 and the most recent reporting year, drug offences in England and Wales peaked in 2008/09 when their were over 243,000 of these offences. Since the peak in 2008/09 the number of drug offences has declined, with 2017/18 having the fewest number of offences. Cannabis involved in highest number of seizures In 2022/23, the police and border forces in England and Wales made approximately 140,370 seizures of cannabis, the most of any drug. By comparison, the next-most common drug, Cocaine, was seized by the police just 18,978 times. While the current government has no plans to legalize cannabis, approximately 32 percent of UK citizens surveyed in 2024 thought that the drug should be legal, with a further 24 percent supporting its decriminalization. Recent surveys also indicate that almost one in three people in England and Wales had used Cannabis at some point in their lives, despite it being illegal. Regional drug crime When broken down by individual police force areas, Merseyside Police, who cover the city of Liverpool, had the highest drug crime rate in England and Wales, at 8.6 offences per 1,000 population. For the whole of England and Wales, the drug crime rate per 1,000 people was three, and was lowest in Dorset, where it was just 1.3. In terms of drug seizures, London was the region with the highest drug seizure rate in England and Wales in 2022/23 at 3,920 seizures per million people, followed by the North East of England at 3,832. By contrast, the West Midlands of England had the lowest of any region, with 1,545 seizures per million people in the same year.
https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html
Colonization is a fundamental ecological process that is important for the persistence of species, particularly when a changing environment necessitates range shifts. Vacant habitats available for colonization often arise from landscape disturbance. Colonization and population expansion processes can be inferred by examining the levels and spatial distribution of genetic variation of plant populations with known disturbance histories. Samples (N = 690) of the terrestrial orchid, Epidendrum radicans, were collected from five lava flow sites on the slopes of Volcán Arenal in Costa Rica that last experienced major eruptions in 1968 and 1992. Individuals were also sampled (N = 188) from four regional populations. Samples were characterized using 15 nuclear genetic markers and analyzed using population genetics statistics. Genetic diversity within sites was moderate (He = 0.092 – 0.192). Contrary to expectation, diversity tended to be lower on the older lava flows (0.131 versus 0.172) which may reflect their more sheltered topography that restricted pollen/seed immigration, and/or greater intra- and interspecific competition. Genetic diversity measures indicate that the lava flows were colonized by numerous individuals that likely originated from multiple sources while spatial genetic structure (SGS) statistics indicate that most recruitment in the study sites subsequent to colonization resulted from in situ reproduction and localized seed deposition. Younger sites had significantly greater SGS over larger distances which reflects fewer reproductive events, and less spatial and temporal overlap of seed shadows relative to the older sites. Clones were also generally larger on the older sites (≤ 8m versus ≤ 3m).
Methods
Study sites and sampling
Samples were obtained from five E. radicans collection sites growing on lava flows of different ages. At all five sample sites we made every effort to avoid collection of multiple samples from obviously clonal individuals. The two Arenal Slope (AS) sites are located on the southwestern slope of Volcán Arenal where lava, rocks and ash were deposited during the 1992 eruption (Soto & Sjoböhm, 2005; Fig. 1). The two Tabacón Springs (TS) sites occur on an older lava flow last disturbed by bomb and block bombardment, and ash fall in 1968 (Soto & Sjoböhm, 2005; Fig. 1). The TS sites are separated from the AS sites by approximately 4.7 km. The Arenal 1968 (SE) site is on a lava field deposited during the 1968 eruption (Fig. 1). This site is ~2.3 km from AS and ~2.7 km from TS.
Arenal Slope Sites (AS) - In April 2004 leaves were collected at the first Arenal Slope site (10.4504° N and 84.7250° W) from 96 individuals (AS-1). In April 2010, leaves were collected at the second Arenal Slope site from 103 individuals (AS-2). The two AS sample sites are separated by ~90 m. From a central point for each of the two AS collections, a transect line was placed successively in a radial pattern and a leaf was collected from every individual, with its distance and angle relative to the central point recorded.
Tabacón Springs Sites (TS) - At the Tabacón Springs location (10.4924° N and 84.7197° W), samples were collected from 209 individuals in April 2005 (TS-1) and 166 individuals in April 2010 (TS-2). These two sites are separated by ~45 m. Due to the higher density of individuals, the TS collections represented a sub-sample of the total number of E. radicans individuals. For TS-1 a baseline was established and 8m long transect lines were placed perpendicular to the baseline at 0.8m intervals. At 0.8m intervals along each of 21 transect lines, a leaf was collected from the nearest individual and its distance from the 0.8m interval mark on the transect line was recorded. For TS-2, because of differing terrain, 11m long transect lines were placed perpendicular to the baseline at 0.8m intervals. At 1m intervals along each of these 20 transect lines, a leaf was collected from the nearest individual and its distance from the 1m interval mark on the transect line was recorded.
Arenal 1968 Site (SE) - At this site (10.4705° N and 84.7317° W), because of the more challenging terrain, 116 samples were collected from the nearest E. radicans encountered on either side of a 20m transect line and the distance of each plant from the transect line was recorded.
To compare the genetic composition of lava flow populations with populations in the surrounding landscape, additional regional populations were sampled. A mean of 47 individuals (range 42 - 50) were collected from each of four E. radicans populations located within 1.5 to 26.8 km (mean = 17.4 km) of the study sites. While we did not survey the surrounding landscape comprehensively, we collected from every population found in the vicinity.
Genotyping
Leaves were snap frozen in liquid nitrogen within a few hours of collection, and sent to the University of Georgia in an ultra-cold dry shipper. Leaves were crushed in chilled mortars with a pestle, liquid nitrogen, and a pinch of sea sand to disrupt cellular compartmentalization. Enzymes were extracted from E. radicans tissue with a polyvinylpyrrolidone-phosphate extraction buffer (Mitton et al., 1979). The resulting slurry containing crude protein extract was absorbed onto 4x6 mm wicks punched from Whatman 3 mm chromatography paper. Wicks were stored in microtest plates at -70°C until used for electrophoresis. Wicks were placed in horizontal starch gels (10%) and electrophoresis was performed.
Nine enzyme stains in five buffer systems resolved one monomorphic and 14 putative polymorphic loci. Enzymes stained and polymorphic loci (in parentheses) for each buffer system were: (1) system 4, malate dehydrogenase (EC 1.1.1.37; Mdh-1, Mdh-2), 6-phosphogluconate dehydrogenase (EC 1.1.1.44; 6-Pgd-2) and shikimic dehydrogenase (EC 1.1.1.25; Skdh); (2) system 8-, aspartate aminotransferase (EC 2.6.1.1; Aat-1, Aat-2), and fluorescent esterase (EC 3.1.1-; Fe-2, Fe-3); (3) system 10, triosephosphate isomerase (EC 5.3.1.1; Tpi-1, Tpi-2) and UTP-glucose-1-phosphate (EC 2.7.7.9; Ugpp-1); (4) system 11, isocitrate dehydrogenase (EC 1.1.1.42; Idh), and phosphoglucoisomerase (EC 5.3.1.9; Pgi-2); (5) system 6, fluorescent esterase (EC 3.1.1-; Fe-4).
All buffer and stain recipes were adapted from Soltis et al. (1983) except Aat (Cheliak & Pitel, 1984) and Ugpp (Manchenko, 1994). Buffer system 8- is a modification of buffer system 8 described by Soltis et al. (1983). Banding patterns of both species were consistent with Mendelian inheritance patterns expected for each enzyme system (Weeden & Wendel, 1989) and were consistent with disomic inheritance expected for diploid individuals.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Dorset town by race. It includes the distribution of the Non-Hispanic population of Dorset town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Dorset town across relevant racial categories.
Key observations
Of the Non-Hispanic population in Dorset town, the largest racial group is White alone with a population of 1,789 (91.70% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Dorset town Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the mean household income for each of the five quintiles in Dorset, Vermont, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income Levels:
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 Dorset town median household income. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household income across different racial categories in Dorset town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.
Key observations
Based on our analysis of the distribution of Dorset town population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 91.77% of the total residents in Dorset town. Notably, the median household income for White households is $96,250. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $96,250.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Dorset town median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Dorset town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Dorset town median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Dorset town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/dorset-vt-median-household-income-by-race-trends.jpeg" alt="Dorset, Vermont median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
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 Dorset town median household income by race. You can refer the same here
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Dorset town 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 Dorset town. 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 1,133 (57.54% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Dorset town Population by Age. You can refer the same here