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This is a subset of data taken from https://coronavirus.data.gov.uk / https://coronavirus-staging.data.gov.uk. Please follow this link for more information: https://coronavirus-staging.data.gov.uk/about-data
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This mapping tool enables you to see how COVID-19 deaths in your area may relate to factors in the local population, which research has shown are associated with COVID-19 mortality. It maps COVID-19 deaths rates for small areas of London (known as MSOAs) and enables you to compare these to a number of other factors including the Index of Multiple Deprivation, the age and ethnicity of the local population, extent of pre-existing health conditions in the local population, and occupational data. Research has shown that the mortality risk from COVID-19 is higher for people of older age groups, for men, for people with pre-existing health conditions, and for people from BAME backgrounds. London boroughs had some of the highest mortality rates from COVID-19 based on data to April 17th 2020, based on data from the Office for National Statistics (ONS). Analysis from the ONS has also shown how mortality is also related to socio-economic issues such as occupations classified ‘at risk’ and area deprivation. There is much about COVID-19-related mortality that is still not fully understood, including the intersection between the different factors e.g. relationship between BAME groups and occupation. On their own, none of these individual factors correlate strongly with deaths for these small areas. This is most likely because the most relevant factors will vary from area to area. In some cases it may relate to the age of the population, in others it may relate to the prevalence of underlying health conditions, area deprivation or the proportion of the population working in ‘at risk occupations’, and in some cases a combination of these or none of them. Further descriptive analysis of the factors in this tool can be found here: https://data.london.gov.uk/dataset/covid-19--socio-economic-risk-factors-briefing
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TwitterThe data includes:
These reports summarise epidemiological data as at 14 December 2020 at 10am.
See the https://www.england.nhs.uk/statistics/statistical-work-areas/covid-19-hospital-activity/">detailed data on hospital activity.
See the https://coronavirus.data.gov.uk/">detailed data on the progress of the coronavirus pandemic.
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TwitterThe Community Engagement team at the Greater London Authority (GLA) commissioned this report to identify and examine past and present projects which involve collecting Londoners experiences of COVID-19 through a variety of creative and non-traditional materials. The purpose of the report is to: provide an overview of projects and activities which record Londoners COVID-19 stories and experiences. outline who is responsible for these projects and activities (individuals, museums, community groups, charities, community interest groups, non-profits, other institutions and organisations). analyse the voices of individuals/groups/communities targeted in the projects and activities. highlight obvious gaps in the collected data which can inform future programmes geographically map out projects and other activities which record COVID-19 stories and experiences across Greater London. The data provides insight into trends and patterns in COVID-19 collecting projects and activities that have been carried out in London from March 2020 to March 2021. Reflections and final suggestions on how to navigate these projects and activities for specific next steps in the Community-Led Recovery Programme, targeted missions, suggestions etc. will be discussed later in this report. In particular, this report provides information relevant to the London Community Story (LCS) Programme, one of the two strands of the Community-Led Recovery programme. Alongside this report is a dataset outlining 160 COVID-19 collecting projects that took place in London. The dataset gives project names, boroughs, material types, collecting organisation type and organisation names. We encourage you to use this dataset as a starting point and then do your own additional research on the 160 projects. If you are aware of a project that has not been included, please let us know and we can add it.
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TwitterUnequal impact of COVID-19: BAME disproportionality With the whole country and world waking up to the deeply entrenched structural equalities that have impacted the lives of our Black, Asian and other ethnic Minority communities, there is a collective appreciation that we need to go further to dismantle a system, and create new ones. Local and national evidence shows that people from a Black, Asian or minority ethnic background are disproportionately impacted by Covid-19. In response to this, the council implemented this working group to carry out a rapid 6-week programme to gather evidence of the impacts of Covid-19 and develop actions for supporting our residents during this time and beyond. Intensive work has been underway to understand and take action to address the direct and indirect health impacts of Covid-19 on our Black, Asian and other Ethnic Minority communities in Camden, and to ensure that individuals and communities are protected both now and through the next phase of the pandemic, but also to bring about wider systemic change. This document is us working in the open with you and shows the information that was provided by different service areas to the member-led working group for comment and to develop actions going forward. The Black, Asian and other Ethnic Minority Inequalities and Covid-19 Working Group has benefitted from evidence and the lived experience of our residents, VCS partners, professionals and Members in guiding and shaping the Council’s response from bureaucratic to relational. In this document you will find summaries of the data included in these presentation slides and the relevant links to documents.
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TwitterThe aim of our study was to assess the economic, social, and health impacts of the pandemic on families both expecting babies, and those with children under five living in the London Borough of Tower Hamlets.
Interview data was collected as part of the second phase of the research; a repeated longitudinal qualitative panel of 20 households purposively sampled from the Wave 1 survey to represent different household structures and types. In-depth interviews were conducted via video or telephone with up to 2 adults per household (mothers and fathers. Wave 1 of the panel interviews took place between January 2021 and April 2021 with wave 2 between September - December 2021.
Our sampling strategy was carefully constructed to ensure representation of the following dimensions: Household type (single, couple, multi-generational); Income (low, moderate, and high); Ethnicity (White, South Asian, Other ethnic groups). Only one household member could complete the survey. If sampled, they were then contacted to take part in the qualitative panel along with other adult members of their households.
The qualitative interviews utilised supporting interactive activities and focused on children’s development in the context of family’s everyday lives during the pandemic, how parents and kin supported each other emotionally and practically, and how families are engaged in their communities during the Covid-19 era.
Interviews were focused on target child [under 5 years old at wave 1], identified as CHILD A in transcripts.
Households were interviewed approximately 6 months later.
Adverse direct and indirect impacts of the current COVID-19 pandemic will disproportionately fall on individuals and families from poorer backgrounds, those in public facing jobs and living in higher density housing. Tower Hamlets, the site of this study, with its pre-existing stark income and health inequalities is already a high-risk inner city area, placed in one of the richest global cities. This project will focus on the impacts of the lockdown, and its aftermath for the borough's young children, who are likely to experience new health and educational inequalities as a result of the unprecedented restrictions on mobility associated with slowing the spread of COVID-19 introduced on 23 March 2020. Tower Hamlets has a highly diverse population profile, with residents from a wide range of ethnicities and social and economic backgrounds, which offers an opportunity to identify how families deploy their interpersonal, economic and social resources to manage risks associated with living in lockdown and in recovery from lockdown. In close partnership with the borough Public Health and children's services team, we will run a repeat survey of 2000 couple and single parent families with children aged 0-4, and pregnant women; a longitudinal qualitative panel with approximately 60 household members including fathers and wider kin; and examine changing family support services, and emergent community resources such as mutual aid and peer networks. We are interested in families' cultural and inter-personal assets as well as their vulnerabilities: what new forms of managing family and community life have emerged and how are these novel methods helping young children? We will include two groups defined as vulnerable; pregnant women and shielded children. The survey tools chosen are those being run by the concurrent Born in Bradford (BiB) cohort study and by the International Network on Leave Policies and Research offering robust comparisons. Findings will help guide the borough's deployment of scarce resources in the recovery phase of the pandemic and will have relevance to all inner-city areas.
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TwitterFor the week ending August 29, 2025, weekly deaths in England and Wales were 985 below the number expected, compared with 855 below what was expected in the previous week. In late 2022 and through early 2023, excess deaths were elevated for a number of weeks, with the excess deaths figure for the week ending January 13, 2023, the highest since February 2021. In the middle of April 2020, at the height of the COVID-19 pandemic, there were almost 12,000 excess deaths a week recorded in England and Wales. It was not until two months later, in the week ending June 19, 2020, that the number of deaths began to be lower than the five-year average for the corresponding week. Most deaths since 1918 in 2020 In 2020, there were 689,629 deaths in the United Kingdom, making that year the deadliest since 1918, at the height of the Spanish influenza pandemic. As seen in the excess death figures, April 2020 was by far the worst month in terms of deaths during the pandemic. The weekly number of deaths for weeks 16 and 17 of that year were 22,351, and 21,997 respectively. Although the number of deaths fell to more usual levels for the rest of that year, a winter wave of the disease led to a high number of deaths in January 2021, with 18,676 deaths recorded in the fourth week of that year. For the whole of 2021, there were 667,479 deaths in the UK, 22,150 fewer than in 2020. Life expectancy in the UK goes into reverse In 2022, life expectancy at birth for women in the UK was 82.6 years, while for men it was 78.6 years. This was the lowest life expectancy in the country for ten years, and came after life expectancy improvements stalled throughout the 2010s, and then declined from 2020 onwards. There is also quite a significant regional difference in life expectancy in the UK. In the London borough of Kensington and Chelsea, for example, the life expectancy for men was 81.5 years, and 86.5 years for women. By contrast, in Blackpool, in North West England, male life expectancy was just 73.1 years, while for women, life expectancy was lowest in Glasgow, at 78 years.
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TwitterThis publication contains five sets of data tables, which are linked to on this page:
Individual insolvencies by Location, England and Wales, 2011 to 2021 contains a time series with breakdowns of insolvency numbers and rates by country, region, county and local authority
Individual insolvencies by Age and Gender, England and Wales, 2011 to 2021 contains a time series with breakdowns of insolvency numbers and rates by age and gender
Individual insolvencies by Location, Age and Gender, England and Wales, 2021 contains breakdowns of insolvency numbers and rates by location, age and gender for 2021
Individual insolvencies by Parliamentary Constituency, England and Wales, 2011 to 2021 contains a time series with breakdowns of insolvency numbers and rates by country, region and parliamentary constituency
Individual Insolvency Statistics by Ward, England and Wales, 2011 to 2021 contains a time series with breakdowns of insolvency numbers by ward
Main Messages:
In 2021 the rate of individual insolvency in England and Wales was 23.3 per 10,000 adults, meaning that one in every 429 adults entered an insolvency procedure during that year.
The total insolvency rate decreased for the second consecutive year, likely to have been partly driven by enhanced government financial support measures put in place to support individuals during the Coronavirus (COVID-19) pandemic. Rates of individual insolvency had been trending upwards between 2015 and 2019 with a rate increase of 49% over this period. This was followed by a decline of 9% in 2020 and a further decline of 1% in 2021.
For the sixth year in a row, individuals in the North East of England had the highest individual insolvency rates (28.7 per 10,000 adults), while individuals in London had the lowest (16.3 per 10,000). London has been the region with the lowest rate of insolvency each year since the series began in 2000. The other seven English regions, as well as Wales, all had rates between 22.0 and 26.5 per 10,000. All regions saw higher insolvency rates compared to the five-year average, with the exception of the South West, Wales and the North East.
Rates varied by local authority from 10.0 per 10,000 (1 in 1,002 adults) in Richmond upon Thames to 47.1 per 10,000 (1 in 212 adults) in North East Lincolnshire.
The local authorities with the highest rates of individual insolvency were mainly in the North of England, ranging from North East Lincolnshire, to Blackpool, to Kingston upon Hull. The five local authorities with the lowest insolvency rates were London boroughs. The next lowest were Epsom and Ewell, Rushcliffe and St Albans.
There were no large changes to the geographical distribution of insolvency rates in 2021 compared to the five-year average. For the majority of local authorities, differences in rates from the five-year average ranged from 5% lower to 10% higher.
Rates varied by parliamentary constituency from 6.7 per 10,000 (1 in 1,486 adults) in Sheffield, Hallam to 61.4 per 10,000 (1 in 163 adults) in Great Grimsby.
Most of the 10 parliamentary constituencies with the highest insolvency rates were in the North of England. Six out of the 10 parliamentary constituencies with the lowest insolvency rates were in London.
The female insolvency rate (25.0 per 10,000) was higher than for males (21.5 per 10,000) for the eighth successive year. Females had a higher rate of insolvency than males, in all age groups except for those aged 65 and over. Women were more likely than men to have a debt relief order or individual voluntary arrangement, while men were more likely than women to become bankrupt. Historically, men were more likely to enter bankruptcy than get a debt relief order, however the reverse was true in 2021.
Insolvency rates were highest for adults between 25 and 44 and lowest for adults aged 65 and over. This trend has been similar since 2006. However, the long-term trend does show an increase in insolvency rates for younger adults (18 to 34 year olds) and a decrease for older adults (55 years and older).
Individual voluntary arrangements were the most common type of insolvency in all age groups. The proportion of individual voluntary arrangements was higher among younger adults, whereas the proportion of bankruptcies was higher in older adults.
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TwitterIn 2020 the rate of individual insolvency in England and Wales was 23.7 per 10,000 adults, meaning that one in every 422 adults entered an insolvency procedure during that year.
The total insolvency rate decreased for the first time in five years, likely to have been partly driven by enhanced government financial support measures put in place to support individuals during the Coronavirus (COVID-19) pandemic. The "https://www.gov.uk/government/collections/individual-insolvency-statistics-releases">Quarterly Individual Insolvency Statistics provide further detail on insolvency trends during 2020 following the onset of the pandemic.
Individuals in the North East of England continued to have the highest individual insolvency rates (30.9 per 10,000), while individuals in London had the lowest (15.9 per 10,000). The other seven English Regions, as well as Wales, all had rates between 22.5 and 26.3 per 10,000.
Rates varied by local authority from 9.3 per 10,000 (1 in 1,080 adults) in Westminster to 44.6 per 10,000 (1 in 224 adults) in Kingston upon Hull. The local authorities with the highest rates of individual insolvency were spread across England and Wales, and were mainly in coastal areas, ranging from Plymouth, to Scarborough, to Blackpool. The highest rates outside of coastal areas were for Stoke-on-Trent, Corby, and Telford and Wrekin.
There were no large changes to the geographical distribution of insolvency rates between 2019 and 2020. Most local authorities saw changes in insolvency rates similar to the overall England and Wales decline of 9%. The majority of local authorities saw a decline of between 2% and 16%.
The seven local authorities with the lowest insolvency rates were all London boroughs. The next lowest were St Albans and Epsom and Ewell.
Rates varied by parliamentary constituency from 8.1 per 10,000 (1 in 1239 adults) in Cities of London and Westminster to 48.8 per 10,000 (1 in 205 adults) in Plymouth, Moor View.
Of the 10 parliamentary constituencies with the highest insolvency rates, eight were coastal. Seven out of the 10 parliamentary constituencies with the lowest insolvency rates were in London.
The female insolvency rate (24.8 per 10,000) was higher than for males (22.4 per 10,000) for the seventh successive year, although the gap decreased compared to 2019. Women are more likely than men to have a debt relief order or individual voluntary arrangement, while men are more likely to become bankrupt.
Insolvency rates were highest for 25 to 44 year olds and lowest for those aged 65+. Insolvency rates decreased for all age groups except for those aged 18 to 24 compared to 2019. The long-term trend shows an increase in insolvency rates for younger adults and a decrease for older adults.
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TwitterUnequal impact of COVID-19: BAME disproportionality Section 1 (slides 1 – 3): The Public Health England (PHE) review confirms the risk of mortality as a result of covid-19 by ethnicity. Data on access to care and emergency response has been taken from our local VCS partner feedback and indications from local data.) Data on the care workforce by ethnicity was taken from our local data and the Section 2 (Slides 4 – 7) covers demographic information on Black, Asian, and other or mixed ethnic people delivering direct care in the wider social care sector from the Skills for Care 2019 Social Care Workforce Review (note: factors that need to be considered are age, sex, underlying health conditions, ethnicity, and pregnancy.) Information on Camden’s ASC workforce was taken from GLA 2016-based Ethnic Group Projections - mid-2020). Demographic information on people receiving ASC support in Camden has been taken from our local service data. Section 3: (slides 8-15) sets out information on Adult Social Care activity during Covid-19 and looks at data relative to ethnicity including the ASC cohort of Camden’s shielded residents. (Service held data NOT official statistics including qualitative feedback from communities) Section 4: (Slides 16 – 18) shows information related to the Adult Social Care outcomes framework which has provided some information gathered before Covid-19 on the experiences of people who are BAME and in receipt of social care support in Camden.
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TwitterUnequal 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).
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TwitterCamden og Islington Public Health Intelligence team har for nylig afsluttet en behovsvurdering af Long Covid i det nordlige centrale London for at undersøge byrden af Long Covid lokalt, dets indvirkning på beboerne og analyse af systemets reaktion. Analysen fremhæver, at forventet prævalens af Long Covid er meget højere end registrerede diagnoser i primær sundhedspleje, hvilket tyder på, at mange mennesker med Long Covid muligvis ikke modtager en formel diagnose. Analysen undersøger også mønstre i forventet prævalens, diagnose og henvisningsfrekvens efter alder, køn, afsavn og etnicitet, variation mellem primære netværk og analyse af data fra NCL's Post-Covid specialistklinik. Denne analyse vil bidrage til at identificere muligheder for at forbedre langtidsbevidstheden, vejene og plejen af covid-19.
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TwitterA equipa de Inteligência de Saúde Pública de Camden e Islington concluiu recentemente uma avaliação das necessidades de Long Covid no centro de Londres, para explorar o fardo da Long Covid localmente, seu impacto nos residentes e análise da resposta do sistema. A análise destaca que a prevalência esperada de Covid Longo é muito maior do que os diagnósticos registrados na atenção primária, sugerindo que muitas pessoas com Covid Longo podem não estar recebendo um diagnóstico formal. A análise também explora padrões de prevalência esperada, diagnóstico e taxas de referência por idade, sexo, privação e etnia, variação entre as redes de atenção primária e análise de dados da clínica especializada pós-covidência da NCL. Esta análise ajudará a identificar oportunidades para melhorar a consciência, as vias e os cuidados de longa COVID-19.
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TwitterQuesti dati forniscono prove del modo in cui i movimenti a Londra sono stati influenzati dalle varie misure di controllo per la COVID-19 e di quanto sono stati recuperati una volta attenuate tali misure.
Questa pagina riassume i cambiamenti nell'attività rispetto al basale ottenuti da Google's Mobility Report, tra cui:
Google raccoglie i dati di posizione condivisi dagli utenti degli smartphone Android e confronta l'ora e la durata delle visite ai luoghi con i valori mediani lo stesso giorno della settimana nelle cinque settimane a partire dal 3 gennaio 2020.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This is a subset of data taken from https://coronavirus.data.gov.uk / https://coronavirus-staging.data.gov.uk. Please follow this link for more information: https://coronavirus-staging.data.gov.uk/about-data