About this dataset

Context

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

Key observations

The percent distribution of New Britain population by race (across all racial categories recognized by the U.S. Census Bureau): 82.88% are white, 4.57% are Black or African American, 0.35% are American Indian and Alaska Native, 5.78% are Asian, 0.39% are some other race and 6.02% 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 New Britain
• Population: The population of the racial category (excluding ethnicity) in the New Britain is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Britain 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 New Britain Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of England population by race (across all racial categories recognized by the U.S. Census Bureau): 68.50% are white, 22% are Black or African American, 0.31% are American Indian and Alaska Native, 4.52% are some other race and 4.67% 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 England
• Population: The population of the racial category (excluding ethnicity) in the England is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of England 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 England Population by Race & Ethnicity. You can refer the same here

Dataset population: Persons

Ethnic group

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the "Irish" response category. This topic was created as part of the commissioned table processing.

This dataset brings together all 698 known references to ‘Black’ or possibly Black African heritage people or groups in records of London criminal justice (1720-1841). Each entry includes references to primary sources mentioning the person(s), including in the Old Bailey Proceedings, Ordinary’s Accounts, and Middlesex Criminal Registers. Individuals are trial witnesses, victims, defendants, and people mentioned in passing during testimony. For each entry, a confidence level is offered by the authors, as a person’s ethnicity cannot always be determined with certainty. Evidence for making that judgment is provided. This dataset is useful for anyone interested in Black history in Britain, Black people and justice, or Black London during the age of enslavement.

Significant background material is available on the Old Bailey Online website, which provides additional context for these records. The authors also recommend the following works:

* Kathleen Chater. Untold Histories: Black People in England and Wales during the Period of the British Slave Trade, c. 1660-1807 (Manchester, 2011).
* Norma Myers, Reconstructing the Black Past (Frank Cass, 1996).
* Marika Sherwood. ‘Blacks in the Gordon Riots’, History Today, vol. 47 (1997), 24-28.

Each record includes details on the name of the Black individual(s), as well as information on up to three sources in which he/she/they have been identified, and an indication by the authors on the likelihood the person is actually Black.

Each entry has 17 columns of data, all of which are described in full in the ReadMe.txt file.

Dataset population: Persons

Ethnic group

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the 'Irish' response category. This topic was created as part of the commissioned table processing.

National identity

A person's national identity is a self-determined assessment of their own identity with respect to the country or countries with which they feel an affiliation. This assessment of identity is not dependent on legal nationality or ethnic group.

The national identity question included six tick box responses:

• English
• Welsh
• Scottish
• Northern Irish
• British
• Other

Where a person ticked 'Other' they were asked to write in the name of the country. People were asked to tick all options that they felt applied to them. This means that in results relating to national identity people may be classified with a single national identity or a combination of identities.

The "Enslaved People in the African American National Biography, 1508-1865" dataset builds on the complete print and online collection of the African American National Biography (AANB), edited by Henry Louis Gates, Jr. and Evelyn Brooks Higginbotham. The full collection contains over 6,000 biographical entries of named historical individuals, including 1,304 for subjects born before 1865 and the abolition of slavery in the United States. In making a subset of biographical entries from the multivolume work, the goal was to extract life details from those biographies into an easy-to-view database form that details whether a subject was enslaved for some or all of their lives and to provide the main biographical details of each subject for contextual analysis and comparison. 52 fields covering location data; gender; names, alternate names and suffixes; dates and places of birth and death; and up to 8 occupations were included. We also added 13 unique fields that provide biographical details on each subject: Free born in North America; Free before 13th Amendment; Ever Enslaved; How was freedom attained; Other/uncertain status; African born; Parent information; Runaways and rebels; Education/literacy; Religion; Slave narrative or memoir author; Notes; and Images.

This measures percentage point differences in the proportions of each Black Minority and Ethnic (BME) group of young people on youth justice disposals against the proportions of each BME group in the equivalent local population. BME main groups are classified as those main groups in the 2001 census. The ONS latest mid-year estimated figures used for the local youth population by BME group. It is important to do the analysis by each of the ethnic groups and not the overall BME group, otherwise the under-represented groups counter-balance the over-represented groups – giving the false impression there is no over-representation of particular BME groups. Areas would only need to submit values for the number of offenders in each ethnic group, as the local population data would be sourced from ONS to do the required calculations. Young people are those aged 10-17 years.

This dataset represents ethnic group (19 tick-box level) by highest level qualification, for England and Wales combined. The data are also broken down by age and by sex.

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity, or physical appearance. Respondents could choose one out of 19 tick-box response categories, including write-in response options.

Total counts for some population groups may not match between published tables. This is to protect the confidentiality of individuals' data. Population counts have been rounded to the nearest 5 and any counts below 10 are suppressed, this is signified by a 'c' in the data tables.

"Asian Welsh" and "Black Welsh" ethnic groups were included on the census questionnaire in Wales only, these categories were new for 2021.

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by ethnic group. The estimates are as at Census Day, 21 March 2021. This dataset shows population counts for usual residents aged 16+ Some people aged 16 years old will not have completed key stage 4 yet on census day, and so did not have the opportunity to record any qualifications on the census.

These estimates are not comparable to Department of Education figures on highest level of attainment because they include qualifications obtained outside England and Wales.

For quality information in general, please read more from here.

Ethnic Group (19 tick-box level)

These are the 19 ethnic group used in this dataset:

• Asian, Asian British or Asian Welsh
  • Bangladeshi
  • Chinese
  • Indian
  • Pakistani
  • Other Asian
• Black, Black British, Black Welsh, Caribbean or African
  • African
  • Caribbean
  • Other Black
• Mixed or Multiple ethnic groups
  • White and Asian
  • White and Black African
  • White and Black Caribbean
  • Other Mixed or Multiple ethnic groups
• White
  • English, Welsh, Scottish, Northern Irish or British
  • Gypsy or Irish Traveller
  • Irish
  • Roma
  • Other White
• Other ethnic group
  • Arab
  • Any other ethnic group

No qualifications

No qualifications

Level 1

Level 1 and entry level qualifications: 1 to 4 GCSEs grade A* to C , Any GCSEs at other grades, O levels or CSEs (any grades), 1 AS level, NVQ level 1, Foundation GNVQ, Basic or Essential Skills

Level 2

5 or more GCSEs (A* to C or 9 to 4), O levels (passes), CSEs (grade 1), School Certification, 1 A level, 2 to 3 AS levels, VCEs, Intermediate or Higher Diploma, Welsh Baccalaureate Intermediate Diploma, NVQ level 2, Intermediate GNVQ, City and Guilds Craft, BTEC First or General Diploma, RSA Diploma

Apprenticeship

Apprenticeship

Level 3

2 or more A levels or VCEs, 4 or more AS levels, Higher School Certificate, Progression or Advanced Diploma, Welsh Baccalaureate Advance Diploma, NVQ level 3; Advanced GNVQ, City and Guilds Advanced Craft, ONC, OND, BTEC National, RSA Advanced Diploma

Level 4 +

Degree (BA, BSc), higher degree (MA, PhD, PGCE), NVQ level 4 to 5, HNC, HND, RSA Higher Diploma, BTEC Higher level, professional qualifications (for example, teaching, nursing, accountancy)

Other

Vocational or work-related qualifications, other qualifications achieved in England or Wales, qualifications achieved outside England or Wales (equivalent not stated or unknown)

Access to community mental health services by BME groups, crude rates per 100,000 population. Current version updated: Sep-15 Next version due: Sep-17

About the Dataset:

Amazon is one of the biggest online retailers in the UK. With this dataset, you can get an in-depth idea of what products sell best, which SEO titles generate the most sales, the best price range for a product in a given category, and much more.

It took a lot of time and energy to prepare this original dataset, so don't forget to hit the upvote button! 😊💝

Similar Datasets:

Amazon Canada Products

Amazon India Products

Amazon USA Products

Interesting Task Ideas:

1. Uncover trending product categories and their sales performance.
2. Analyze customer ratings to find top-rated products.
3. Train a product title generator that can generate sales-worthy product titles based on products with the most sales.
4. Gain insight into the best price for any given product based on sales data and competition.
5. Identify which niches are the easiest to make sales in.
6. Gain insights into the general spending habits of online shoppers.
7. Use as a seed dataset for practicing database management and performance optimization.
8. Train (or learn to train) an AI-based search model to recommend Amazon products.

Checkout my other datasets

USA Unemployment Rates by Demographics & Race

USA Hispanic-White Wage Gap Dataset

Median and Avg Hourly Wages in the USA

Health Insurance Coverage in the USA

Black-White Wage Gap in the USA Dataset

Photo by Canonicalized

Vaccination rates and odds ratios by socio-demographic group among people living in England.

This dataset represents ethnic group (19 tick-box level) by economic activity status and by occupation, for England and Wales combined. The census data are also broken down by age and by sex for each subtopic.

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity, or physical appearance. Respondents could choose one out of 19 tick-box response categories, including write-in response options.

Total counts for some population groups may not match between published tables. This is to protect the confidentiality of individuals' data. Population counts have been rounded to the nearest 5 and any counts below 10 are suppressed, this is signified by a 'c' in the data tables.

This dataset shows population counts for usual residents aged between 16 to 64 years old only. This is to focus on ethnic groups differences among the working age. Population counts in these tables may be different from other publications which use different age breakdowns.

"Asian Welsh" and "Black Welsh" ethnic groups were included on the census questionnaire in Wales only, these categories were new for 2021.

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by ethnic group. The estimates are as at Census Day, 21 March 2021.

For quality information in general, please read more from here.

For specific quality information about labour market, please read more from here

Ocupation counts classifiy people who were in employment between 15 March and 21 March 2021, by the SOC code that represents their current occupation. (Occupation is classified using the Standard Occupation Classification 2020 version). Details of SOC code can be found here.

Ethnic Group (19 tick-box level)

These are the 19 ethnic group used in this dataset:

• Asian, Asian British or Asian Welsh
  • Bangladeshi
  • Chinese
  • Indian
  • Pakistani
  • Other Asian
• Black, Black British, Black Welsh, Caribbean or African
  • African
  • Caribbean
  • Other Black
• Mixed or Multiple ethnic groups
  • White and Asian
  • White and Black African
  • White and Black Caribbean
  • Other Mixed or Multiple ethnic groups
• White
  • English, Welsh, Scottish, Northern Irish or British
  • Gypsy or Irish Traveller
  • Irish
  • Roma
  • Other White
• Other ethnic group
  • Arab
  • Any other ethnic group

About this dataset

Context

The dataset tabulates the Non-Hispanic population of England by race. It includes the distribution of the Non-Hispanic population of England across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of England across relevant racial categories.

Key observations

Of the Non-Hispanic population in England, the largest racial group is White alone with a population of 1,68 (69.97% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/england-ar-population-by-race-and-ethnicity.jpeg" alt="England Non-Hispanic population by race">

Content

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:

• 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 (for Non-Hispanic) for the England
• Population: The population of the racial category (for Non-Hispanic) in the England is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of England total Non-Hispanic 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 England Population by Race & Ethnicity. You can refer the same here

Unequal impact of COVID-19: BAME disproportionality This presentation includes some national data on health experiences of the BAME population, 2011 Census data on the ethnic make-up of Camden residents and ONS data on mortality rate by ethnicity as a result of Covid-19. It then deep dives into what our VCS organisations have heard first hand from our Black, Asian and other non-white ethnicity communities. This helps us to understand how the government measures have exacerbated the effects of COVID-19, and how they will continue to disproportionately affect people. (Data collated through conversations with our VCS partners).

Percentage of all attendances by black Caribbean people at specialist sexual health services resulting in STI diagnoses and differences in socio-demographic profile by region of birth among those aged

Sadly, the trend of fatal police shootings in the United States seems to only be increasing, with a total 1,173 civilians having been shot, 248 of whom were Black, as of December 2024. In 2023, there were 1,164 fatal police shootings. Additionally, the rate of fatal police shootings among Black Americans was much higher than that for any other ethnicity, standing at 6.1 fatal shootings per million of the population per year between 2015 and 2024. Police brutality in the U.S. In recent years, particularly since the fatal shooting of Michael Brown in Ferguson, Missouri in 2014, police brutality has become a hot button issue in the United States. The number of homicides committed by police in the United States is often compared to those in countries such as England, where the number is significantly lower. Black Lives Matter The Black Lives Matter Movement, formed in 2013, has been a vocal part of the movement against police brutality in the U.S. by organizing “die-ins”, marches, and demonstrations in response to the killings of black men and women by police. While Black Lives Matter has become a controversial movement within the U.S., it has brought more attention to the number and frequency of police shootings of civilians.

Dataset population: Persons

Age

Age is derived from the date of birth question and is a person's age at their last birthday, at 27 March 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. Infants less than one year old are classified as 0 years of age.

Ethnic group

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the 'Irish' response category. This topic was created as part of the commissioned table processing.

General health

General health is a self-assessment of a person's general state of health. People were asked to assess whether their health was very good, good, fair, bad or very bad.

For England and Wales, this assessment is not based on a person's health over any specified period of time.

For Northern Ireland, 'General health' refers to a person's health over the 12 months prior to Census day (27 March 2011).

Sex

The classification of a person as either male or female.

Median pay and raw ethnicity pay gap estimates for 2012 to 2022 across different ethnicity breakdowns using the Annual Population Survey, UK.

Overview The Green Infrastructure Areas for the Black Country (GIBC) data identifies green infrastructure, green infrastructure function (or ecosystem service) and pinch point mapping for the Black Country area which includes Wolverhampton, Walsall, Sandwell and Dudley. The analysis was carried out in two stages and as a result of this, four datasets were produced: ‘GIBC 01 - Typology & Functionality OS’ ‘GIBC 02 – Pinch Points OS’ ‘GIBC 03 – Pinch Points Consortium Housing’ ‘GIBC 04 – Pinch Points Housing Land Availability’ First Stage Processing Ordnance Survey data was used as the base layer for all the processing. The first process produced the ‘GIBC 01 - Typology & Functionality OS’ dataset. This dataset is then subsequently used as a basis for the production of the second, third and fourth datasets during the second stage. In the first stage each OS polygon was assigned a green infrastructure category based on the SPADES project from the list below.
Green Infrastructure Categories are: Garden Green corridor Pocket park Park or garden Outdoor sports facility Children’s play space Youth area Broadleaved woodland Mixed woodland Coniferous woodland Natural and semi-natural open spaces Pasture or meadow Wetland Watercourse Fresh water body Allotments Orchard Cemetery or churchyard Open space around premises Agricultural land Road island/verge Railway corridor Abandoned, ruderal and derelict area The OS polygon was then assigned “A function beneficial to people” dependent on the Green Infrastructure Category already assigned. The 26 categories that perform a “function beneficial to people” are: Accessible water storage Carbon storage Community cohesion Connection with local environment Corridor for wildlife Culture Encouraging green travel Evaporative cooling Flow reduction through surface roughness Habitat for wildlife Heritage Inaccessible water storage Learning Local food production Pollination Pollutant removal from soil/water Providing jobs Recreation - private Recreation - public Recreation - public with restrictions Shading from the sun Trapping air pollutants Visual contribution to landscape character Water conveyance Water infiltration Water interception In its simplest form the process flow looks like this: OS base layer → assigned green infrastructure → assigned function (Eg - OS polygon → coniferous woodland → shading from the sun) The first dataset, ‘GIBC 01 - Typology & Functionality OS’, therefore shows the following: The green infrastructure category The function beneficial to people Shows areas of greatest need for this function. Shows areas whereby the function has been met. Shows areas whereby the function has not been met. Second Stage Processing The second stage expands on the first by establishing which areas suffer from stress associated with investment in growth and redevelopment of land. These areas are known as ‘pinch points’. Wherever there is a high level of need for a particular function (identified in the first process), a potential ‘pinch point’ exists. The pinch point categories that have been identified are: Air Quality Pinch Culture Pinch Flooding Pinch Heat Stress Pinch Heritage Pinch Local Community Pinch Mental Health Pinch Nature Pinch Physical Activity Pinch Recreation Pinch Sustainable Travel Pinch The second dataset, ‘GIBC 02 – Pinch Points OS’, takes the analysis from the first stage process and using the Ordnance Survey data as a base layer, displays the ‘pinch points’ analysis results. The third dataset, ‘GIBC 03 – Pinch Points Consortium Housing’, takes the analysis from the first stage process and rather than using the OS as a base uses the Consortium Housing Site data instead to display ‘pinch points’. The fourth dataset, ‘GIBC 04 – Pinch Points Housing Land Availability’, takes the analysis from the first stage process and rather than using the OS as a base used the Strategic Housing Land Availability data instead to display ‘pinch points’. Conclusion The ‘pinch point’ mapping can help identify particular areas of stress, which when used in conjunction with the green infrastructure and function mapping from the first stage process can be used to help alleviate those stresses. Attribution statement: © The Black Country Consortium 2017, reproduced with the permission of The Black Country Consortium, © Crown Copyright and database rights 2017. Ordnance Survey licence number 100046698. © Centre for Ecology and Hydrology copyright 2017. © Department for Communities and Local Government. Contains Ordnance Survey data © Crown copyright and database right 2017. © Ecorecord 2017, reproduced with the permission of Ecorecord. © Crown Copyright and database rights 2017. Ordnance Survey licence numbers 100022021 and 100019566. © Dudley Metropolitan Council 2017, reproduced with the permission of The Black Country Consortium, © Crown Copyright and database rights 2017. Ordnance Survey licence number 100019566. CC BY-NC 4.0 © EcoRecord, The

Dataset population: Persons

Country of birth

Country of birth is the country in which a person was born. This topic records whether the person was born in or if they were not born in a country.

For the full country of birth classification in England and Wales, please see the National Statistics Country Classification.

Ethnic group

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

This topic contains ethnic group write-in responses without reference to the five broad ethnic group categories, e.g. all Irish people, irrespective of whether they are White, Mixed/multiple ethnic groups, Asian/Asian British, Black/African/Caribbean/Black British or Other ethnic group, are in the 'Irish' response category. This topic was created as part of the commissioned table processing.