About this dataset

Context

The dataset presents the median household income across different racial categories in Bristol County. 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 Bristol County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 81.52% of the total residents in Bristol County. Notably, the median household income for White households is $86,265. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $110,752. This reveals that, while Whites may be the most numerous in Bristol County, Asian households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/bristol-county-ma-median-household-income-by-race.jpeg" alt="Bristol County median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Bristol County.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 Bristol County median household income by race. You can refer the same here

The project utilised a survey methodology, collecting paper and pen survey responses from participants at three time points over the period of a school year. At each time point, the survey explored the relationship between contact experiences and social and soft educational outcomes. The Diversity Effect Project examined the ways in which intergroup interaction experiences happen amongst youth attending ethnically diverse secondary schools, the impact of these interactions on social attitudes and soft educational outcomes, and how teachers might intervene to promote more intergroup relations in the school classroom. Working alongside teachers in each of the four schools involved in the project, the research also designed a bespoke 4-week intervention that aimed to promote more positive social attitudes and better educational outcomes for youth. Within each school, the intervention was implemented either by half of the classes or by all classes. The effectiveness of the intervention was assessed using the third survey time point. The dataset comprises the survey responses from the three matched time points enabling users to examine changes over time as well as the effects of the intervention on social attitudes and soft educational outcomes.

Multiculturalism is a feature of almost every society and yet the value of diversity is highly contested. Despite its potential riches as a means to challenge stereotypes and add cultural value, it is sometimes viewed as a societal problem, associated with tensions, segregation and a clashing of cultures. By focusing on diversity as a problem, however, we have neglected to fully understand how and when diversity is associated with positive outcomes or how these can be embraced. The proposed project aims to address this gap in the literature by addressing under what conditions diversity is associated with social cohesion and educational achievement through the lens of intergroup contact theory. It will examine the extent of ethnic segregation in formal (classroom) and informal (cafeteria) spaces in secondary schools in Bristol, a diverse city in the United Kingdom, to enable an understanding of the relationship between observed behaviours, attitudes and achievement and to establish what can be done to intervene and promote more positive outcomes for all learners. The project will provide both theoretical and methodological contributions. Theoretically, the research will shed light on the compatibility of diversity, education and social attitudes addressing the ESRC strategic priority to promote a Vibrant and Fair Society. Whilst there has been much research which has examined the effects of diversity on wider society and educational outcomes (often in the U.S.), to date these effects have not been evaluated through the lens of intergroup contact theory taking into consider the nature and quality of the interactions occurring within and outside the classroom. As such, the project will develop a new theoretical approach which brings together perspectives from multiple disciplines to gain a holistic understanding of the diversity effect. Methodologically, the project will provide two main innovations. First, it will integrate multiple quantitative and qualitative methods and techniques longitudinally, moving beyond mere self-report of attitudes which is currently a focus in UK social science research on diversity, and in doing so provide a new, multilevel dataset for further research. This will include observations of seating behaviour in different spaces within the target schools, social network analysis and advanced statistical analysis of longitudinal questionnaire responses. Second, it will move beyond observations of the effects and develop a short and easy to implement intervention which will have potential to be scaled up and used across the UK and beyond. To achieve this, the project will work with teachers and other stakeholders in the design, execution, and dissemination of the research at different stages throughout and after the project. The project has potential for wide impact. The findings will inform understandings of diversity and how to best promote intergroup relations and academics for all learners beyond the social psychology and education audiences. This will deepen the evidence base that can inform policy and practice in the UK and internationally. Both local actors as well as international organisations have become increasingly interested in the effects of diversity on society. Examining the value of ethnic diversity will provide valuable lessons for schools and wider society informing strategies to reduce the likelihood of ethnic tensions.

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 South Bristol town. The dataset can be utilized to gain insights into gender-based income distribution within the South Bristol town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within South Bristol town, among individuals aged 15 years and older with income, there were 433 men and 446 women in the workforce. Among them, 163 men were engaged in full-time, year-round employment, while 110 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 11.66% fell within the income range of under $24,999, while 20% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 9.20% of men in full-time roles earned incomes exceeding $100,000, while 5.45% 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 South Bristol town median household income by race. You can refer the same here

NP: total number of parasites sequenced or genotyped; NP(2009–2012): number of parasites per year; NH: total number of hosts; NH(>7/host): number of hosts with greater than 7 parasites; NP(>7/host): number of parasites in hosts with greater than 7 parasites; Hap D: haplotype diversity in lake; Pairwise D: pairwise differences among haplotypes; Nucleotide D: nucleotide diversity among haplotypes; k: effective number of haplotypes; Ho: observed heterozygosity; He: expected heterozygosity; N alleles: average number of alleles over 8 loci; I: Shannon’s Information Index; R: average rarefied allelic richness across loci.Sampling and Diversity.

The project data comprise socio-economic surveys of street proprietors, data visualisation of the surveys and additional spatial mappings, and focus group workshops. The first phase of this project incorporates qualitative, face-to-face surveys conducted in 2015, on Rookery Road (Birmingham); Stapleton Road (Bristol); Narborough Road (Leicester); and Cheetham Hill (Manchester). In total, the face-to-face surveys across four streets incorporate 910 units, 596 retail units, 68 vacant units, and 351 surveyed proprietors. The survey focuses on: when, how and why migrant proprietors arrive on these specific streets; the type and duration of shop activity; whether proprietors live locally; whether local and global networks are integral to economic activity; and the types of skill sets proprietors have, such as language, qualification, work experience and additional business interests. Data visualisations were then developed to highlight relationships between key data, and additional drawings were made to highlight the spatial composition of the street. The Phase 1 survey of these four streets was conducted by Suzanne Hall, Robin Finlay and Julia King. The second phase in 2016, conducted with Social Life, incorporates data on scoping discussions and focus group workshops on Rookery Road (Birmingham) and Narborough Road (Leicester) with proprietors, local interest groups, representative and elected leaders and local authorities. The focus group discussions included how traders and local businesses impact on the changing city, both through how people organise themselves economically and collectively beyond their own personal lives, and how they negotiate with the city around them.

The ‘Super-diverse streets’ project is an ESRC-funded exploration of the intersections between city streets, global migration and urban marginalisation. The research is a comparative analysis across UK cities and aims to examine the economic and social life of high streets, and how urban retail economies and spaces are shaped by and shape urban migration. The four high streets include: Rookery Road (Birmingham); Stapleton Road (Bristol); Narborough Road (Leicester); and Cheetham Hill (Manchester). Each street is selected for its location in an ethnically diverse as well as comparatively deprived urban locale, to engage with what kinds of street economies emerge in places where jobs are hard to come by, and the impacts of historic state under investment are hard-felt. Furthermore, Birmingham, Bristol, Leicester and Manchester are amongst UK cities that have the highest percentage of ‘country of birth’ citizens from outside of the UK, after London. The research is widely disseminated through the ‘Super-diverse Streets’ project website with mappings and visualisations and concise reports as well as a You Tube video on ‘Migrant Streets’ and a Royal Geographical Society educational podcast on ‘Diverse Places and Ordinary Streets'. Publications include journal articles and book chapters, and a research monograph is planned.

hinkleyThis spreadsheet includes the annual abundance data for fish at Hinkley Point in the Bristol Channel collected between 1981 and 2012. Each monthly sample was collected using the same effort and method.

For methods see:

Henderson & Holmes (1990). Population stability over a ten year period in the short-lived fish Liparis liparis. J. Fish Biol. 37, 605-615. Henderson & Holmes (1991). On the population dynamics of dab, sole and flounder in the lower Severn estuary, England. Neth. J. Sea Res. 27 (3/4), 337-344. Henderson, James & Holmes (1992). Trophic structure within the Bristol Channel: seasonality and stability in Bridgwater Bay. J. Mar. Biol. Ass. UK. 71, 675-690. Bamber, R.N. & Henderson, P. A. (1994). Seasonality of caridean decapod and mysid distribution and movements within the Severn Estuary and Bristol Channel. Biol. J. Lin. Soc. 51, 83-91. Henderson, P. A. & Seaby, R. M. H. (1994). On the factors influencing juvenile flat fish abundance in the lowe...

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 Bristol. The dataset can be utilized to gain insights into gender-based income distribution within the Bristol population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Bristol, among individuals aged 15 years and older with income, there were 23,753 men and 23,085 women in the workforce. Among them, 13,715 men were engaged in full-time, year-round employment, while 10,425 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.21% fell within the income range of under $24,999, while 5.53% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 24.19% of men in full-time roles earned incomes exceeding $100,000, while 19.64% 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 Bristol median household income by race. 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 Bristol town. The dataset can be utilized to gain insights into gender-based income distribution within the Bristol town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Bristol town, among individuals aged 15 years and older with income, there were 1,414 men and 1,757 women in the workforce. Among them, 859 men were engaged in full-time, year-round employment, while 615 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 1.05% fell within the income range of under $24,999, while 3.74% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 44.24% of men in full-time roles earned incomes exceeding $100,000, while 18.70% 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/bristol-town-dane-county-wi-income-distribution-by-gender-and-employment-type.jpeg" alt="Bristol Town, Dane County, Wisconsin 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 Bristol town median household income by gender. You can refer the same here