UK residents by broad country of birth and citizenship groups, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties. Estimates from the Annual Population Survey.

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.

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United Kingdom UK: Birth Rate: Crude: per 1000 People data was reported at 11.800 Ratio in 2016. This records a decrease from the previous number of 11.900 Ratio for 2015. United Kingdom UK: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 12.900 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 18.800 Ratio in 1964 and a record low of 11.300 Ratio in 2002. United Kingdom UK: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Between 1820 and 1957, over 4.5 million people emigrated from Great Britain to the United States. The period with the highest levels of migration came during the 1860s, 70s and 80s, with almost 110 thousand people migrating in 1888 alone. The period with the lowest levels of migration came in the 1930s and early 40s, as the Great Depression caused an economic crisis across the globe, hitting the US and Great Britain particularly hard. Economic recovery in the late 1930s caused the migration rate to increase again, before the Second World War brought the numbers back down in the first half of the 1940s.

The dataset contains 39148 years of sea level data from 1355 station records, with some stations having alternative versions of the records provided from different sources. GESLA-2 data may be obtained from www.gesla.org. The site also contains the file format description and other information. The text files contain headers with lines of metadata followed by the data itself in a simple column format. All the tide gauge data in GESLA-2 have hourly or more frequent sampling. The basic data from the US National Atmospheric and Oceanic Administration (NOAA) are 6-minute values but for GESLA-2 purposes we instead settled on their readily-available 'verified hourly values'. Most UK records are also hourly values up to the 1990s, and 15-minute values thereafter. Records from some other sources may have different sampling, and records should be inspected individually if sampling considerations are considered critical to an analysis. The GESLA-2 dataset has global coverage and better geographical coverage that the GESLA-1 with stations in new regions (defined by stations in the new dataset located more than 50 km from any station in GESLA-1). For example, major improvements can be seen to have been made for the Mediterranean and Baltic Seas, Japan, New Zealand and the African coastline south of the Equator. The earliest measurements are from Brest, France (04/01/1846) and the latest from Cuxhaven, Germany and Esbjerg, Denmark (01/05/2015). There are 29 years in an average record, although the actual number of years varies from only 1 at short-lived sites, to 167 in the case of Brest, France. Most of the measurements in GESLA-2 were made during the second half of the twentieth century. The most globally-representative analyses of sea level variability with GESLA-2 will be those that focus on the period since about 1970. Historically, delayed-mode data comprised spot values of sea level every hour, obtained from inspection of the ink trace on a tide gauge chart. Nowadays tide gauge data loggers provide data electronically. Data can be either spot values, integrated (averaged) values over specified periods (e.g. 6 minutes), or integrated over a specified period within a longer sampling period (e.g. averaged over 3 minutes every 6 minutes). The construction of this dataset is fundamental to research in sea level variability and also to practical aspects of coastal engineering. One component is concerned with encouraging countries to install tide gauges at locations where none exist, to operate them to internationally agreed standards, and to make the data available to interested users. A second component is concerned with the collection of data from the global set of tide gauges, whether gauges have originated through the GLOSS programme or not, and to make the data available. The records in GESLA-2 will have had some form of quality control undertaken by the data providers. However, the extent to which that control will have been undertaken will inevitably vary between providers and with time. In most cases, no further quality control has been made beyond that already undertaken by the data providers. Although there are many individual contributions, over a quarter of the station-years are provided by the research quality dataset of UHSLC. Contributors include: British Oceanographic Data Centre; University of Hawaii Sea Level Center; Japan Meteorological Agency; US National Oceanic and Atmospheric Administration; Puertos del Estado, Spain; Marine Environmental Data Service, Canada; Instituto Espanol de Oceanografica, Spain; idromare, Italy; Swedish Meteorological and Hydrological Institute; Federal Maritime and Hydrographic Agency, Germany; Finnish Meteorological Institute; Service hydrographique et oceanographique de la Marine, France; Rijkswaterstaat, Netherlands; Danish Meteorological Institute; Norwegian Hydrographic Service; Icelandic Coastguard Service; Istituto Talassographico di Trieste; Venice Commune, Italy;

The UK's decision to leave the EU has necessitated a wholesale rethink of UK immigration policy with the ending of free movement of workers. The motivations for this work then were to examine the immigration/worker protection boundary from a number of perspectives, with particular emphasis on the legal dimension. While understanding the developing EU and domestic (macro) perspective our aims at a micro level were to understand the legal problems EU citizens in low paid work in the UK were facing and how they resolve those problems. These legal problems were at times exacerbated by Brexit, particularly with the advent of the new digital EUSS (EU Settlement Scheme)- our research followed this in real time and recorded issues. One of our key findings and covered by the book published as a result of the dataset here is that of Pragmatic Law and the role of everyday community advice in the wider legal advice eco-system. This is an element of legal advice which to date had been little researched. Another key outcome was the contribution to literature on both EU free movement and citizenship studies, particularly in the context of vulnerable EU citizens.Our aim was to chart the experience and perceptions of EU migrants in the UK before, during and after Brexit to enable us to analyse the experience of EU migrants in seeking access to the social welfare system in the UK, the issues they have with immigration law and employment law, specifically the relationship between race and nationality discrimination and the Brexit process. We will seek to collect robust empirical evidence to establish whether the fact of Brexit, together with the policy changes, media pronouncements and political rhetoric, have an impact on both the experience of, and perceptions surrounding, the experience of EU migrants. This data collection consists of qualitative data, specifically interviews and focus groups. The data is place based: in a small town in the East of England called Great Yarmouth. Interviews were undertaken with EU citizens who had moved to the UK to work in low paid work- particularly in poultry factories. Interviews were semi structured to allow for conversations to flow organically. The data includes qualitative interviews with people (professionals) working in Great Yarmouth- particularly those providing frontline services such as health, debt advice, housing advice etc. It includes a mixture of transcripts or notes recorded. The accompanying excel file notes the date and the location where the interview/ focus group took place. Every effort has been made to anonymise the data. A snowball technique was used to recruit participants to interview, as well as in some instances a targeted approach to approaching relevant service providers we wanted to include e.g. health, housing etc. The data also includes focus groups undertaken with EU citizens living in the UK. Again every effort has been made to anonymise the data. Some focus groups were occupation based- for example only those working in poultry factories and some were nationality based for example Portuguese citizens only. All participants for focus groups were recruited by an advice agency working in Great Yarmouth which we were working with on this research. The data includes interviews with residents and the landlord of an HMO (house of multiple occupation) in Great Yarmouth. Again, every effort has been made to anonymise the participants and the location of the house. Participants were chosen based on their residency in the house. This was to help us understand housing conditions/ the private rent sector for migrant workers in the town.

Provisional deaths registration data for single year of age and average age of death (median and mean) of persons whose death involved coronavirus (COVID-19), England and Wales. Includes deaths due to COVID-19 and breakdowns by sex.

The number of Pinterest users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+3.14 percent). After the ninth consecutive increasing year, the Pinterest user base is estimated to reach 9.88 million users and therefore a new peak in 2028. Notably, the number of Pinterest users of was continuously increasing over the past years.User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Over the course of the Second World War approximately 127.2 million people were mobilized. The world's population in 1940 was roughly 2.3 billion, meaning that between five and six percent of the world was drafted into the military in some capacity. Approximately one in every 25 people mobilized were women, who generally served in an administrative or medical role, although hundreds of thousands of women did see active combat. Largest armies In absolute numbers, the Soviet Union mobilized the largest number of people at just under 34.5 million, and this included roughly 35 percent of the USSR's male population. By the war's end, more Soviets were mobilized than all European Axis powers combined. However, in relative terms, it was Germany who mobilized the largest share of its male population, with approximately 42 percent of men serving. The USSR was forced to find a balance between reinforcing its frontlines and maintaining agricultural and military production to supply its army (in addition to those in annexed territory after 1941), whereas a large share of soldiers taken from the German workforce were replaced by workers drafted or forcibly taken from other countries (including concentration camp prisoners and PoWs). Studying the figures The figures given in these statistics are a very simplified and rounded overview - in reality, there were many nuances in the number of people who were effectively mobilized for each country, their roles, and their status as auxiliary, collaborative, or resistance forces. The British Empire is the only power where distinctions are made between the metropole and its colonies or territories, whereas breakdowns of those who fought in other parts of Asia or Africa remains unclear. Additionally, when comparing this data with total fatalities, it is important to account for the civilian death toll, i.e. those who were not mobilized.

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Only residents age 16+ were asked this question. Residents age 15 or less are not included in the data.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsSexual OrientationThis dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by sexual orientation. The estimates are as at Census Day, 21 March 2021. This dataset includes information for Leicester City and England overall.Definition: Classifies people according to the responses to the sexual orientation question. This question was voluntary and was only asked of people aged 16 years and over.

Annual estimates of foreign-owned businesses by industry group, section, employment and turnover group, and country breakdown.

The number of Instagram users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 2.1 million users (+7.02 percent). After the ninth consecutive increasing year, the Instagram user base is estimated to reach 32 million users and therefore a new peak in 2028. Notably, the number of Instagram users of was continuously increasing over the past years.User figures, shown here with regards to the platform instagram, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).