Cambridge was the fastest growing city in the United Kingdom between 2013 and 2023, with its population increasing by 17.3 percent. Exeter, Milton Keynes, and Peterborough also grew quite fast, with their populations increasing by 15.2 percent, 14.9 percent, and 14 percent, respectively. Largest UK urban areas When looking at cities defined by their urban agglomerations, as of 2023, London had approximately 9.65 million people living there, far larger than any other city in the United Kingdom. The urban agglomeration around the city of Birmingham had a population of approximately 2.67 million, while the urban areas around Manchester and Leeds had populations of 2.79 and 1.92 million respectively. London not only dominated other UK cities in terms of its population, but in its importance to the UK economy. In 2023, the gross domestic product of Greater London was approximately 569 billion British pounds, compared with 101 billion for Greater Manchester, and 85 billion in the West Midlands Metropolitan Area centered around Birmingham. UK population growth In 2023, the overall population of the United Kingdom was estimated to have reached approximately 68.3 million, compared with around 58.9 million in 2000. Since 1970, 2023 was also the year with the highest population growth rate, growing by 0.98 percent, and was at its lowest in 1982 when it shrank by 0.12 percent. Although the UK's birth rate has declined considerably in recent years, immigration to the UK has been high enough to drive population growth in the UK, which has had a positive net migration rate since 1994.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

The datasets contain insect numbers, plant biomass, successful attacks of parasitoids, and behavioural response of parasitoids. The data are based on direct observations of insects and plants in field and laboratory experiments testing for the impact of different spectra of artificial light at night on an experimental insect food web with coloured near-monochromatic LEDs, with a single peak emittance across the visible and near-UV spectrum at wavelengths of 385, 447, 469, 475, 518, 607 and 630 nm plus a dark control. The dark control was exposed to the natural background light levels at night. We kept photon flux similar to the output of a white light LED at 20 lux, for all light treatments apart from the UV treatment. Data collection was done in a field site, and controlled temperature room at Penryn Campus of University of Exeter, Penryn, UK. The field experiment was set up on 3rd June 2017 and ran for 17 weeks, while the additional experiments were conducted between summer 2017 and summer 2018. The data have been sampled as part of the NERC project NE/N001672/1 “Effects of artificial light on multi-trophic population dynamics”. Full details about this dataset can be found at https://doi.org/10.5285/dfe9a1ed-fc98-4abd-8040-6ee9f01cfcd0

The datasets contain insect numbers, plant biomass, successful attacks of parasitoids, and behavioural response of parasitoids. The data have been sampled as part of the NERC project NE/N001672/1 "Effects of artificial light on multi-trophic population dynamics". The data are based on direct observations of insects and plants in field and laboratory experiments testing for the impact of different intensities of artificial light at night on an experimental insect food web with control (no light), and white LED light with 0.1,1,5,10,20,50,100 lux. Data collection was done in a field site, and controlled temperature room at Penryn Campus of University of Exeter, Penryn, UK. The field experiment was set up on 29th July 2016 and ran for nine weeks, while the additional experiments were conducted between summer 2016 and spring 2018. Full details about this dataset can be found at https://doi.org/10.5285/d30168d3-6cbb-4d75-b73c-276e6083a1fe

This is the second (wave 2) in a series of follow up reports to the Mental Health and Young People Survey (MHCYP) 2017, exploring the mental health of children and young people in February/March 2021, during the Coronavirus (COVID-19) pandemic and changes since 2017. Experiences of family life, education, and services during the COVID-19 pandemic are also examined. The sample for the Mental Health Survey for Children and Young People, 2021 (MHCYP 2021), wave 2 follow up was based on 3,667 children and young people who took part in the MHCYP 2017 survey, with both surveys also drawing on information collected from parents. Cross-sectional analyses are presented, addressing three primary aims: Aim 1: Comparing mental health between 2017 and 2021 – the likelihood of a mental disorder has been assessed against completion of the Strengths and Difficulties Questionnaire (SDQ) in both years in Topic 1 by various demographics. Aim 2: Describing life during the COVID-19 pandemic - Topic 2 examines the circumstances and experiences of children and young people in February/March 2021 and the preceding months, covering: COVID-19 infection and symptoms. Feelings about social media use. Family connectedness. Family functioning. Education, including missed days of schooling, access to resources, and support for those with Special Educational Needs and Disabilities (SEND). Changes in circumstances. How lockdown and restrictions have affected children and young people’s lives. Seeking help for mental health concerns. Aim 3: Present more detailed data on the mental health, circumstances and experiences of children and young people by ethnic group during the coronavirus pandemic (where sample sizes allow). The data is broken down by gender and age bands of 6 to 10 year olds and 11 to 16 year olds for all categories, and 17 to 22 years old for certain categories where a time series is available, as well as by whether a child is unlikely to have a mental health disorder, possibly has a mental health disorder and probably has a mental health disorder. This study was funded by the Department of Health and Social Care, commissioned by NHS Digital, and carried out by the Office for National Statistics, the National Centre for Social Research, University of Cambridge and University of Exeter.

Administrative information about individuals in Wales that use NHS services; such as address and practice registration history. It replaced the NHS Wales Administrative Register (NHSAR) in 2009.

Data drawn from GP practices via Exeter System.

This dataset provides linkage from anonymous individual to anonymous residences, thus enable to group households of individuals.

A single-view version of WDS (called PER_RESIDENCE_GPREG) provided by Digital Health and Care Wales (DHCW) superseded the previous three-view version WDS in September 2022. SAIL produces cleaned versions of these views. The cleaned versions of the new single-view WDS are called WDSD_CLEAN_AR_PERS and WDSD_CLEAN_GEO_RALF.

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Data for this publication are extracted each month as a snapshot in time from the GP Payments system (Open Exeter) maintained by NHS Digital. This release is an accurate snapshot as at 1 May 2020. GP Practice; Primary Care Network (PCN); Sustainability and transformation partnership (STP); Clinical Commissioning Group (CCG) and NHS England Commissioning Region level data are released in single year of age (SYOA) and 5-year age bands, both of which finish at 95+, split by gender. In addition, organisational mapping data is available to derive STP; PCN; CCG and Commissioning Region associated with a GP practice and is updated each month to give relevant organisational mapping. Quarterly publications in January, April, July and October will include Lower Layer Super Output Area (LSOA) populations and a spotlight report. The outbreak of Coronavirus (COVID-19) has led to changes in the work of General Practices and subsequently the data within this publication. This data is extracted from an administrative source, GP Payments system (Open Exeter) therefore data collection process has not been affected. GP practice list sizes change due to births, deaths, immigration, emigration and administration of GP list sizes to remove duplicate patients. The decrease in registered patients seen this period is likely due to an increase in deaths, a decrease in immigration, and potentially increased list cleansing activities brought about by additional activities to contact vulnerable patients. Throughout April 2020, there was less activity surrounding registrations in primary care however there are still new registrations although the overall number shows a decrease. *On the 19th May 2020, the file Single year of age (Commissioning Regions-STPs-CCGs-PCNs) was replaced due to issues with PCN geography codes