There were approximately 370 thousand Indian nationals residing in the United Kingdom in 2021, around thousand more than there were a year earlier.

In 2020/21 there were approximately 696,000 Polish nationals living in the United Kingdom, the highest non-British population at this time. Indian and Irish were the joint second-largest nationalities at approximately 370,000 people.

In 2011, 87.2 percent of the total population of the United Kingdom were white British. A positive net migration in recent years combined with the resultant international relationships following the wide-reaching former British Empire has contributed to an increasingly diverse population.

Varied ethnic backgrounds

Black British citizens, with African and/or African-Caribbean ancestry, are the largest ethnic minority population, at three percent of the total population. Indian Britons are one of the largest overseas communities of the Indian diaspora and make up 2.3 percent of the total UK population. Pakistani British citizens, who make up almost two percent of the UK population, have one of the highest levels of home ownership in Britain.

Racism in the United Kingdom

Though it has decreased in comparison to the previous century, the UK has seen an increase in racial prejudice during the first decade and a half of this century. Racism and discrimination continues to be part of daily life for Britain’s ethnic minorities, especially in terms of work, housing, and health issues. Moreover, the number of hate crimes motivated by race reported since 2012 has increased, and in 2017/18, there were 3,368 recorded offenses of racially or religiously aggravated assault with injury, almost a thousand more than in 2013/14.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

India data available from WorldPop here.

About this dataset

Context

The dataset tabulates the England Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of England, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of England.

Key observations

Among the Hispanic population in England, regardless of the race, the largest group is of Mexican origin, with a population of 116 (100% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the England
• Population: The population of the specific origin for Hispanic or Latino population in the England is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of England total Hispanic or Latino 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

The statistic shows the total population in the United Kingdom from 2015 to 2019, with projections up until 2025. The population grew steadily over this period.

Population of the United Kingdom

Despite a fertility rate just below the replacement rate, the United Kingdom’s population has been slowly but steadily growing, increasing by an average of 0.6 percent every year since 2002. The age distribution has remained roughly the same for the past ten years or so, with the share of the population over 65 years old seeing a slight increase as the baby boomer generation enters into that age bracket. That share is likely to continue growing slightly, as the United Kingdom has one of the highest life expectancies in the world.

The population of the island nation is predominantly white Christians, but a steady net influx of immigrants, part of a legacy of the wide-reaching former British Empire, has helped diversify the population. One of the largest ethnic minorities in the United Kingdom is that of residents of an Indian background, born either in the UK, India, or in other parts of the world. India itself is experiencing problems with rapid population growth, causing some of its population to leave the country in order to find employment. The United Kingdom’s relatively lower levels of unemployment and the historical connection between the two countries (which has also resulted in family connections between individuals) are likely reasons that make it a popular destination for Indian emigrants.

In 2022, employed people in the white ‘other’ and Indian ethnic groups (both 82%) were the most likely to work full time out of all ethnic groups.

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): 67.17% are white, 24.82% are Black or African American, 0.31% are American Indian and Alaska Native, 4.02% are some other race and 3.67% 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 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

In 1800, the population of the region of present-day India was approximately 169 million. The population would grow gradually throughout the 19th century, rising to over 240 million by 1900. Population growth would begin to increase in the 1920s, as a result of falling mortality rates, due to improvements in health, sanitation and infrastructure. However, the population of India would see it’s largest rate of growth in the years following the country’s independence from the British Empire in 1948, where the population would rise from 358 million to over one billion by the turn of the century, making India the second country to pass the billion person milestone. While the rate of growth has slowed somewhat as India begins a demographics shift, the country’s population has continued to grow dramatically throughout the 21st century, and in 2020, India is estimated to have a population of just under 1.4 billion, well over a billion more people than one century previously. Today, approximately 18% of the Earth’s population lives in India, and it is estimated that India will overtake China to become the most populous country in the world within the next five years.

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 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 1,759 (71.74% of the total Non-Hispanic population).

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 (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

In 2023, there were 604,000 visits from India to the United Kingdom. While this figure was an increase from the previous three years, two of which were heavily impacted by the travel restrictions put in place during the coronavirus (COVID-19) pandemic, it was smaller than the three years leading up to the pandemic. 2017 saw a particularly high volume of visits, totaling 696 thousand.

This dataset includes information on native eyebright plants (Euphrasia, Orobanchaceae) studied and measured at a range of sites across Britain and Ireland, with a special sampling focus on Fair Isle (Shetland, Scotland). Attributes measured are location information (Euphrasia species, coordinates and population description), individual plant trait data (including measures of floral and vegetative traits) and genome sizes.

In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

Young people from the Chinese (4.5%) and Indian (7.3%) ethnic groups were less likely than the UK average (11.5%) to be not in employment, education or training.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in New Britain, the largest racial group is White alone with a population of 29,141 (69.47% of the total Non-Hispanic population).

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 (for Non-Hispanic) for the New Britain
• Population: The population of the racial category (for Non-Hispanic) 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 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 New Britain Population by Race & Ethnicity. You can refer the same here

In 2022/2023, an average of seven grams per person of Indian food eaten outside the home was consumed per week in the United Kingdom.

This dataset contains information on life history variation and population dynamics in response to coloured environmental variation in the laboratory model system comprised of the moth Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst). Data were collected from two complementary experiments investigating the effects of daily coloured temperature fluctuations on individual life history variation (single-generation life history experiment) and population dynamics (multi-generation microcosm experiment) in both species. In both experiments, the effects of three types of coloured noise were investigated and compared to constant temperature conditions: blue noise (characterized by rapid (negatively autocorrelated) fluctuations), red noise (characterized by slow (positively autocorrelated) fluctuations) and white noise (characterized by random fluctuations). The life history experiment lasted 56 days and the microcosm experiment lasted 310 days.

In 2021, there were approximately 357,000 Indian residents living in London, the most of any foreign nationality. Nigerian nationals numbered 142,000, and were the second most common nationality in this year.

This data collection is comprised of interviews with Smart City stakeholders and actors across four Smart Cities in India as well as a set of interviews with national-level actors in Delhi. These interviews took place between September 2018 and October 2019 and are a reflection of the nationally-led Smart City Mission from 2015-2020. The cities represented include Jaipur, Bengaluru, Kochi, Indore, and Delhi.

This research has two primary aims. The first is to develop cutting edge, theoretically informed, insights into the nature of mobility governance reform and the potential to generate more sustainable urban mobility in India. The combined pressures of a growing urban population, increasing urban sprawl, and rapidly rising income, coupled with inadequate public transport, lack of coordinated infrastructure, and increased motorisation have placed huge and unequal burdens on India's urban areas. This has resulted in highly congested roads, poor air quality, high pedestrian casualty rates and poor accessibility and quality of life particularly for the urban poor. In this context, redesigning urban mobility governance has been identified as a critical element of progress in delivering more inclusive and economically, environmentally and socially sustainable cities in India (MoUD, 2006, MoUD, 2015 and NITI Aayog, 2017). Efforts to reform urban transport governance, primarily through the bolstering of local-level capacity, have been underway in India since 2006 but with limited affect due to lack of meaningful delegation of authority and financial power. However, in 2015 the Indian national government launched the Smart Cities Mission, aimed at going beyond what has been achieved before at the local level. The focus of the initiative is to promote 'cities that provide core infrastructure and give a decent quality of life to its citizens' through the application of 'Smart' Solutions (MoUD, 2015, p5). Within this context then, this research uses the Smart Cities Mission as a major opportunity to understand the aims and processes of transport governance reform and the extent to which these reforms are capable of achieving a significant improvement in the mobility system. To this end, the research will undertake a qualitative comparative analysis of previous and planned reforms in four of India's designated smart cities; Jaipur, Kochi, Indore and Bangalore. The research will characterise governance arrangements and governance reforms across each of the four cities, and in using the multi-level governance framework to guide empirical analysis, will be innovative in developing this framework within a non-Western context. The research will also trace the impacts of governance reforms through to impacts on the economic prosperity and quality of life of citizens through analysing changing processes and outcomes. This is essential if we are to move beyond identifying problems to understanding how to overcome them. The second aim of the research is to bring together, develop and inspire a community of researchers and practitioners to advance the study and understanding of mobility governance across India and between the UK and India. The research will be bottom-up in its approach; working with WRI India, the project will engage practitioners in the four cities from the outset to ensure the findings are as meaningful as possible. The interview protocol will be co-created with stakeholders and the data collection informed by the key challenges of urban mobility governance identified by stakeholders through exploratory workshops at the start of the project. A study visit to three UK cities that have experienced different levels of transport governance reform will be held for stakeholders from each of the four 'smart cities' to learn lessons from the UK experience and draw on practitioner expertise. A special session of the World Conference on Transport Research in Mumbai will also be convened to bring practitioners into dialogue with scholars at the forefront of research on transport governance in India and beyond. The project will also convene a 'summer school' in India for researchers to develop their research methods, theoretical perspectives and networks in relation to transport governance and reform. These activities will build both professional and research capacity to address future transport governance challenges.