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): 53.28% are white, 13.17% are Black or African American, 0.56% are American Indian and Alaska Native, 2.32% are Asian, 0.31% are Native Hawaiian and other Pacific Islander, 15.72% are some other race and 14.64% 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

This dataset tracks annual asian student percentage from 2014 to 2021 for Uk Early Childhood Lab vs. Kentucky and Fayette County School District

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.

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.CoverageThis dataset is focused on the data for Birmingham at Ward level. Also available at LSOA, MSOA and Constituency levels.About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:

Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.Population valueThe value column represents All usual residents.The percentage shown is the value as a percentage of All usual residents within the given geography.

This dataset tracks annual asian student percentage from 1993 to 2023 for Little Britain Elementary School vs. New York and Washingtonville Central School District

This dataset tracks annual asian student percentage from 1991 to 2023 for Pulaski Middle School vs. Connecticut and New Britain School District

This data is derived from the Maternity Indicators dataset which is provided to the Welsh Government by Digital Health and Care Wales (DHCW). The Maternity Indicators dataset was established in 2016. It combines records from a mother’s initial assessment with a child’s birth record and enabled Welsh Government to monitor its initial set of outcome indicators and performance measures (Maternity Indicators) which were established to measure the effectiveness and quality of Welsh maternity services. The Maternity Indicators dataset allows us to analyse characteristics of the mother’s pregnancy and birth process. The process for producing this data extract is complex largely because there can be multiple initial assessment data and records for both initial assessments and births are not always complete. Full details of every data item available in the Maternity Indicators dataset are available through the NHS Wales Data Dictionary: http://www.datadictionary.wales.nhs.uk/#!WordDocuments/datasetstructure20.htm The mental health conditions listed on the record are categorised as: puerperal psychosis (severe postnatal depression); bi-polar effective disorder/manic depression; psychosis; psychotic depression; schizophrenia; and other (any other mental health condition). The data dictionary also defines how ethnic groups are classified, namely: White (any white background); Asian (Pakistani, Bangladeshi, Chinese, Indian, any other Asian background); Mixed/multiple (white and Asian, white and black African, white and black Caribbean, any other mixed background); Other (any other ethnic group); Black (African, Caribbean, any other black background).

This dataset tracks annual asian student percentage from 1991 to 2021 for Britain Elementary School vs. Texas and Irving Independent School District

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

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Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

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From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

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This dataset tracks annual asian student percentage from 2013 to 2023 for Elsa England Elementary School vs. Texas and Round Rock Independent School District

The protected characteristics of disabled and non-disabled people in England and Wales, using Census 2021 data. Data estimates provided are as on Census Day, 21 March 2021.

To ensure that individuals cannot be identified in the data, counts and populations have been rounded to the nearest 5, and counts under 10 have not been included. All figures are individually rounded. Totals may not sum exactly because of this rounding.

Age groups are based on an individual's age on their last birthday, as of Census Day, 21 March 2021. The age groups used reflect the European Standard Population (2013).

Age-standardised percentage

The age-standardised percentage of disabled people is that which would have occurred if the observed age-specific percentage of disability had applied in the European Standard Population (ESP).

Age-specific percentage

Age-specific percentage is calculated for each age group:

Mk = (dk / pk) x 100%

where:

Mk = percentage of disabled people in age group k

dk = the number of disabled people in age group k

pk = Census 2021 population in age group k

k = age group

Category

The measures of disability, ethnic group, legal partnership status, religion or sexual orientation in Census 2021 enable different categorisations of responses to the question. These provide different levels of detail from the responses provided.

Count

The count is the number of usual residents in each category (Disabled, Non-disabled, Disabled; limited a lot, Disabled; limited a little, Non-disabled; with non-limiting condition, Non-disabled; no condition), sex, age group and geographic breakdown. To ensure that individuals cannot be identified in the data, counts and populations have been rounded to the nearest 5, and counts under 10 have not been included..

Disability

The definition of disability used in the 2021 Census is aligned with the definition of disability under the Equality Act (2010). A person is considered disabled if they self-report having a physical or mental health condition or illness that has lasted or is expected to last 12 months or more, and that this reduces their ability to carry out day-to-day activities. The detailed response categories are:

• Non-disabled; no condition.
• Non-disabled; with non-limiting condition.
• Disabled; limited a little.
• Disabled; limited a lot.

Ethnic group

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. There were two stages to the ethnic group question. The respondent identifies first through one of the following high-level options before selecting a tick-box:

• Asian, Asian British, or Asian Welsh
• Black, Black British, Black Welsh, Caribbean or African
• Mixed or Multiple
• White
• Other ethnic group

Following this, respondents could choose 1 out of 19 tick-box response categories, including write-in response options.

Legal partnership status

Classifies a person according to their legal marital or registered civil partnership status on Census Day, 21 March 2021. The six categories are:

• Civil partnership.
• Divorced or formerly in a civil partnership.
• Married.
• Never married and never registered a civil partnership.
• Separated, but still legally married or still legally in a civil partnership.
• Widowed or surviving partner from a civil partnership.

Population

The population is the number of usual residents of each sex, age group and geographic breakdown. These have been rounded.

Religion

The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. The nine categories are:

• No religion.
• Christian (including Church of England, Catholic, Protestant and all other Christian denominations).
• Buddhist.
• Hindu.
• Jewish.
• Muslim.
• Sikh.
• Other religion.
• Not answered.

Sexual orientation

Sexual orientation is an umbrella term covering sexual identity, attraction, and behaviour. For an individual respondent, these may not be the same. The five categories are:

• Straight or heterosexual.
• Gay or lesbian.
• Bisexual.
• All other sexual orientations.
• Not answered.

Usual resident

For Census 2021, a usual resident of the UK is anyone who, on census day, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

This dataset tracks annual asian student percentage from 2016 to 2023 for Key Elementary (Gaffney) vs. Connecticut and New Britain School District

This dataset tracks annual asian student percentage from 1991 to 2023 for Charles England Elementary School vs. North Carolina and Lexington City Schools School District

About this dataset

Context

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

Key observations

The percent distribution of London Britain township population by race (across all racial categories recognized by the U.S. Census Bureau): 78.72% are white, 1.16% are Black or African American, 1.66% are Asian, 0.28% are Native Hawaiian and other Pacific Islander, 5.09% are some other race and 13.09% 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 London Britain township
• Population: The population of the racial category (excluding ethnicity) in the London Britain township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of London Britain township 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 London Britain township Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual asian student percentage from 2016 to 2023 for Roosevelt Early Learning Center vs. Connecticut and New Britain School District

This dataset tracks annual asian student percentage from 1991 to 2023 for New Britain High School vs. Connecticut and New Britain School District

About this dataset

Context

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

Key observations

The percent distribution of Little Britain township population by race (across all racial categories recognized by the U.S. Census Bureau): 91.22% are white, 0.24% are Black or African American, 0.31% are American Indian and Alaska Native, 7.98% are some other race and 0.24% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Little Britain township
• Population: The population of the racial category (excluding ethnicity) in the Little Britain township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Little Britain township 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 Little Britain township Population by Race & Ethnicity. You can refer the same here

Historical Dataset of Uk Early Childhood Lab is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2014-2023),Total Classroom Teachers Trends Over Years (2014-2021),Student-Teacher Ratio Comparison Over Years (2014-2021),Asian Student Percentage Comparison Over Years (2014-2021),Hispanic Student Percentage Comparison Over Years (2016-2023),Black Student Percentage Comparison Over Years (2016-2021),White Student Percentage Comparison Over Years (2014-2023),Two or More Races Student Percentage Comparison Over Years (2014-2022),Diversity Score Comparison Over Years (2014-2023),Free Lunch Eligibility Comparison Over Years (2014-2023)

About this dataset

Context

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

Key observations

The percent distribution of New Britain township population by race (across all racial categories recognized by the U.S. Census Bureau): 86.56% are white, 3.54% are Black or African American, 3.45% are Asian, 2.82% are some other race and 3.63% 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 township
• Population: The population of the racial category (excluding ethnicity) in the New Britain township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Britain township 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 township Population by Race & Ethnicity. You can refer the same here