About this dataset

Context

The dataset tabulates the Dartmouth 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 Dartmouth 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 21,486 (65.87% of the total population). 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.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Dartmouth town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Dartmouth town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Dartmouth town 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 Dartmouth town Population by Age. You can refer the same here

U.S. Census Bureau QuickFacts statistics for Dartmouth town, Bristol County, Massachusetts. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

About this dataset

Context

The dataset tabulates the population of Dartmouth town by race. It includes the population of Dartmouth town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Dartmouth town across relevant racial categories.

Key observations

The percent distribution of Dartmouth town population by race (across all racial categories recognized by the U.S. Census Bureau): 86.19% are white, 2.66% are Black or African American, 0.03% are American Indian and Alaska Native, 2.36% are Asian, 0.06% are Native Hawaiian and other Pacific Islander, 2.16% are some other race and 6.54% are multiracial.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Dartmouth town
• Population: The population of the racial category (excluding ethnicity) in the Dartmouth town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Dartmouth town 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 Dartmouth town Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Dartmouth town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Dartmouth town. The dataset can be utilized to understand the population distribution of Dartmouth town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Dartmouth town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Dartmouth town.

Key observations

Largest age group (population): Male # 20-24 years (1,887) | Female # 20-24 years (1,442). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Dartmouth town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Dartmouth town is shown in the following column.
• Population (Female): The female population in the Dartmouth town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Dartmouth town for each age group.

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 Dartmouth town Population by Gender. You can refer the same here

"Fall" missions occur primarily in October and November, but sets from September and December are also present in the data. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere. "Fall" cruises occur in September, October, November and December. Cite this data as: Clark, D., Emberley, J. Data of Maritimes Fall Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f82b379-c1e5-4a02-b825-f34fc645a529

The Dartmouth, Sawmill River 4000 acre watershed forms part of North America’s only urban core boreal watershed within a population base in excess of 400,000 people (Halifax Regional Municipality) where the inner city lakes have not eutrophied and retain oxic lake bottoms for an average of 10 months/year up to temperatures ranging from 21-23 degrees Celsius. BARA sees this native capacity of our glacial till clay bottomed lakes to adsorb phosphorous as worth preserving within an urban core densified mixed residential, commercial and industrial landscape. The baseline monitoring forming this Dataset is intended to create graphic imaging of the correlation of the seasonal anoxia and specific/conductance to infer rate of internal loading levels as the iron and manganese flush phosphates from the glacial till lake bottom soils into the water column, and estimate a predictive index of water temperatures correlated to seasonal anoxia levels for lakes monitored. Recent history over the past four decades is 8 to 15 mg/L total phosphorous. BARA hopes the scientific talents of the local Marine Biologists from federal Department of Fisheries and Oceans (DFO), the Bedford Institute of Oceanography (BIO), local universities and Community College combine with the recreational and professional sport history of our lakes as the birthplace of Hockey, Starr Skates, and an active world class canoe, kayak and paddling race course, for the basis of modeling to all other North American boreal urban watersheds that seek to restore pre-industrial sustainable phosphate load modelling to their water courses. Of the 9 lakes monitored, BARA has partnered with and thanks Crombie REIT, HRM District #5, Gloria McCluskey, and Nova Scotia Sport Fisheries for funding to install a self-contained solar powered Aerator to improve fish habitat by reducing seasonal anoxia in the 4 hectare Lake Penhorn, by lowering the hypolimnion to near lake bottom, and supporting decomposition of lake bottom organics.

“4VSW” missions focus on the eastern half of the Scotian Shelf, and occur primarily in March, but sets in both February, and April are also present in the data. These missions use a unique stratification scheme intended to optimize the abundance estimates of cod. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere. Cite this data as: Clark, D., Emberley, J. Data of Maritimes 4VSW Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/a851ce30-e216-4d7d-a29c-05631eef140e

Data used in the manuscript: Lutz, M., Z. Tonkin, J. D. Yen, G. Johnson, B. Ingram, J. Sharley, J. Lyon, D. G. Chapple, P. Sunnucks, and A. Pavlova. 2021. Using multiple sources during reintroduction of a locally extinct population benefits survival and reproduction of an endangered freshwater fish. Evolutionary Applications 14:950-964. doi.org/10.1111/eva.13173File “Report_DMacq19-4705_8_moreOrders_SNP_mapping_2.csv” is the genotyping file from Diversity Arrays Technology. It contains genotypes for 2672 Macquarie perch individuals, including those not used for this study.File “Metadata.txt” explains content of columns and rows in the genotyping file. File “Lutz_et_al_covariate_file.csv” is the covariate file used for manuscript (1) Lutz et al 2021. It comprises data on population, sex and capture year for each individual. Columns: id- individual identification, pop- population (Dart_F- Dartmouth female; Dart_M- Dartmouth male; Dart_U- Dartmouth individual of unknown sex; Yarr_F- Yarra female; Yarr_M- Yarra male; Yarr_U- Yarra individual of unknown sex; Ovens_2016, Ovens_2017 and Ovens_2018- individuals captured in the Ovens during the 2016, 2017 and 2018 monitoring, respectively; SnobsCreek- hatchery-produced individual born at Snobs Creek hatchery; dontuse- individual was not use in this study); sex- gender (M- male, F- female, U- unknown, #NA- not used in this study).

Genetic diversity is essential for populations to adapt to changing environments. Measures of genetic diversity are often based on selectively neutral markers, such as microsatellites. Genetic diversity to guide conservation management, however, is better reflected by adaptive markers, including genes of the major histocompatibility complex (MHC). Our aim was to assess MHC and neutral genetic diversity in two contrasting bottlenose dolphin (Tursiops aduncus) populations in Western Australia—one apparently viable population with high reproductive output (Shark Bay) and one with lower reproductive output that was forecast to decline (Bunbury). We assessed genetic variation in the two populations by sequencing the MHC class II DQB, which encompasses the functionally important peptide binding regions (PBR). Neutral genetic diversity was assessed by genotyping twenty‐three microsatellite loci.

We confirmed that MHC is an adaptive marker in both populations. Overall, the Shark Bay population exhibited greater MHC diversity than the Bunbury population—for example, it displayed greater MHC nucleotide diversity. In contrast, the difference in microsatellite diversity between the two populations was comparatively low.

Our findings are consistent with the hypothesis that viable populations typically display greater genetic diversity than less viable populations. The results also suggest that MHC variation is more closely associated with population viability than neutral genetic variation. Although the inferences from our findings are limited, because we only compared two populations, our results add to a growing number of studies that highlight the usefulness of MHC as a potentially suitable genetic marker for animal conservation. The Shark Bay population, which carries greater adaptive genetic diversity than the Bunbury population, is thus likely more robust to natural or human‐induced changes to the coastal ecosystem it inhabits.

Le bassin versant de 4 000 acres de Dartmouth et de la rivière Sawmill fait partie du seul bassin hydrographique boréal urbain d'Amérique du Nord comptant une population de plus de 400 000 habitants (municipalité régionale d'Halifax) où les lacs du centre-ville ne se sont pas eutrophiés et conservent leur fond oxique en moyenne 10 mois par an, jusqu'à des températures allant de 21 à 23 degrés Celsius. La BARA considère que cette capacité naturelle de nos lacs à fond argileux à adsorber le phosphore mérite d'être préservée dans un paysage résidentiel, commercial et industriel densifié en milieu urbain. La surveillance de base constituant cet ensemble de données vise à créer une imagerie graphique de la corrélation entre l'anoxie saisonnière et la spécificité/conductance afin de déduire le taux des niveaux de charge interne lorsque le fer et le manganèse expulsent les phosphates des sols glaciaires du fond des lacs dans la colonne d'eau, et d'estimer un indice prédictif des températures de l'eau corrélé aux niveaux d'anoxie saisonniers pour les lacs surveillés. L'évolution récente des quarante dernières années indique que la teneur totale en phosphore est comprise entre 8 et 15 mg/L. La BARA espère que les talents scientifiques des biologistes marins locaux du ministère fédéral des Pêches et des Océans (MPO), de l'Institut océanographique de Bedford (BIO), des universités locales et du Community College se combineront à l'histoire des sports récréatifs et professionnels de nos lacs, berceau du hockey, Starr Skates et d'un parcours de course actif de canot, de kayak et de pagayage de classe mondiale, afin de s'inspirer de tous les autres bassins hydrographiques urbains boréaux d'Amérique du Nord qui cherchent à rétablir la modélisation préindustrielle durable de la charge de phosphate dans leurs cours d'eau. Parmi les 9 lacs surveillés, la BARA s'est associée à Crombie REIT, HRM District #5, Gloria McCluskey et Nova Scotia Sport Fisheries pour le financement de l'installation d'un aérateur solaire autonome afin d'améliorer l'habitat des poissons en réduisant l'anoxie saisonnière dans les 4 hectares du lac Penhorn, en abaissant l'hypolimnion près du fond du lac et en favorisant la décomposition des matières organiques du fond du lac.

These data consist of the Recreational Shark Fishing Tournament landings database (1993-2022 inclusive) and the Canadian Dart tag database (2006 onwards; updated annually). Both were collected by the Maritimes Science Division of Fisheries and Oceans Canada. The landings records include biological sampling from 4266 animals and the dart tag records include 4138 tagging and 97 recapture events to date. Potential users should consult Bowlby et al. (2022) for the description, management history, and technical details pertaining to these data. Information is focused on Blue Sharks because they were the primary species captured at recreational tournaments. Cite this data as: Bowlby, H., Joyce, W. Recreational Shark Fishing Tournament Landings Data and Canadian Dart Tag Database. Published January 2023 . Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/4309f1f7-6779-416d-9660-c02f0f99b482

“Summer” missions occur in June, July and August and these focus on the Scotian Shelf and Bay of Fundy (i.e. 4VWX 5Yb, expanding recently to include the Laurentian Channel and Georges Bank (5Zc). Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere. “Summer” cruises occur in May, June, July and August and these focus on the Scotian Shelf and Bay of Fundy (i.e. 4VWX). Cite this data as: Clark, D., Emberley, J. Data of MARITIMES SUMMER RESEARCH VESSEL SURVEYS. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/1366e1f1-e2c8-4905-89ae-e10f1be0a164

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Dartmouth town. The dataset can be utilized to gain insights into gender-based income distribution within the Dartmouth town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Dartmouth town, among individuals aged 15 years and older with income, there were 13,243 men and 13,404 women in the workforce. Among them, 6,248 men were engaged in full-time, year-round employment, while 4,793 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.63% fell within the income range of under $24,999, while 7.07% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 30.89% of men in full-time roles earned incomes exceeding $100,000, while 16.02% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/dartmouth-ma-income-distribution-by-gender-and-employment-type.jpeg" alt="Dartmouth, Massachusetts gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Dartmouth town median household income by gender. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Dartmouth town. The dataset can be utilized to gain insights into gender-based income distribution within the Dartmouth town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Dartmouth town, among individuals aged 15 years and older with income, there were 12,620 men and 12,984 women in the workforce. Among them, 5,985 men were engaged in full-time, year-round employment, while 4,738 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.45% fell within the income range of under $24,999, while 5.36% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 38.10% of men in full-time roles earned incomes exceeding $100,000, while 24.82% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Dartmouth town median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Dartmouth, Massachusetts, 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

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 21,530, while the mean income for the highest quintile (20% of households with the highest income) is 319,554. This indicates that the top earners earn 15 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 534,494, which is 167.26% higher compared to the highest quintile, and 2482.55% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Dartmouth town median household income. You can refer the same here