There were 43,249 debt relief orders (DROs) in England and Wales in 2024, compared with 31,717 in the previous year.

In the third quarter of 2024, 81,370 households in England were owed either a prevention or relief duty for homelessness, with 36,450 qualifying for prevention duties, and 44,920 for relief duties. Prevention duties are granted to households that are threatened with homelessness within 56 days, while relief duties are granted to households that already homeless, placing a responsibility on the relevant local authority to either prevent or relieve homelessness.

In England and Wales, the rate of adults aged 18 to 24 that used the breathing space scheme has higher than that of those using debt relief or voluntary debt arrangement in 2024. As of 2024, the rates for debt relief orders and individual voluntary arrangements stood at nearly * per 10,000 adults, while the number of breathing spaces almost doubled and reached ****.

United Kingdom Insolvency in England & Wales: Individual: Debt Relief Orders data was reported at 6,997.000 Unit in Sep 2018. This records a decrease from the previous number of 7,021.000 Unit for Jun 2018. United Kingdom Insolvency in England & Wales: Individual: Debt Relief Orders data is updated quarterly, averaging 6,556.000 Unit from Jun 2009 (Median) to Sep 2018, with 38 observations. The data reached an all-time high of 7,956.000 Unit in Jun 2012 and a record low of 1,978.000 Unit in Jun 2009. United Kingdom Insolvency in England & Wales: Individual: Debt Relief Orders data remains active status in CEIC and is reported by The Insolvency Service. The data is categorized under Global Database’s UK – Table UK.O001: Insolvency Statistics: England & Wales.

ග න ව ග න ඉත හ සය ග න භ ව තය ග ල ය ග න භ ව තයම ම ප රදස න හ ව ශ ලත වය 494 600 ප ක සල අන ක ත ව භ දනයන 198 240 ප ක සල 395 4

Homelessness Prevention and Relief, England Official statistics on homelessness prevention and relief in England that took place outside the homelessness statutory framework.

Relief International UK Organisation File

This aggregate-level dataset links poor relief data recorded on 1 January 1891 with several variables from corresponding 1891 census data, all at the level of the registration district (RD). Specifically, the numbers of men and women receiving indoor and outdoor relief in the ‘non-able-bodied’ category (taken as a proxy of the numbers of older-age men and women on relief) are accompanied with a series of socio-economic variables calculated from census data on the population aged 60 years and over (our definition of ‘old age’).

Thus, the dataset fulfils two objectives:

1. To start reconciling poor relief data from the House of Commons Parliamentary Papers archive with transcribed Integrated Census Microdata (I-CeM) available at the UK Data Service (UKDS).

2. To capture geographical variations in the proportion of older-age men and women on poor relief as well as in several household, occupational and migratory compositions recorded in the census, consulting data from 1891 as a pilot study in anticipation of an extended project covering all censuses from 1851-1911.

   The study of old age in history has generally had a narrow focus on welfare needs. Specific studies of the extreme poverty, or pauperism, of older people in late nineteenth-century London by Victorian contemporary Charles Booth (1840-1916) have remained remarkably influential for historical research on old age (Booth, 1894; Boyer and Schmidle, 2009). Old age is also examined through institutional care, particularly workhouse accommodation (Lievers, 2009; Ritch, 2014), while the subgroup of the elderly population that were not poor has been underexplored. However, my PhD thesis shows that pauperism was not a universal experience of old age between 1851 and 1911. Using transcribed census data for five selected counties in England and Wales, I find that pauperism was contingent upon many socio-economic factors recorded in census datasets, such as the occupational structure of older people, their living arrangements and their capacity to voluntarily retire from work based on their savings, land and capital. I find that, in some districts of the northern counties of Cheshire and the Yorkshire West Riding, the proportion of men described in the census as 'retired' and the proportion of women 'living on their own means' was greater than the respective proportions of men and women on welfare. For elderly men in particular, there were regional differences in agrarian work, where those in northern England are more likely to run smallholding 'family farms' whereas, in southern England, elderly men generally participate as agricultural labourers. I find that these differences play an important part in the likelihood of becoming pauperised, and adds to the idea of a north-south divide in old age pauperism (King, 2000). Furthermore, pauperism was predicated on the events and circumstances of people throughout their life histories and approaching their old age.

My fellowship will enable me to expand upon these findings through limited additional research that stresses an examination of the experiences of all older people in England and Wales. Old age has to be assessed more widely in relation to regional and geographical characteristics. In this way, we refine Booth's London-centric focus on the relationship between poverty and old age. My fellowship will achieve these objectives by systematically tracing the diversity of old age experiences. A pilot study will link welfare data recorded on 1 January 1891 from the House of Commons Parliamentary Papers archive with the socio-economic indicators contained in the 1891 census conducted on 5 April, all incorporated at the level of c. 650 registration districts in England and Wales. I will also visit record offices to extract data on the names of older people recorded as receiving welfare in materials related to the New Poor Law, thereby expanding on the PhD's examination of the life histories of older people.

With the key findings from my PhD presented above, I will spend my time addressing a wider audience on my research. As I will argue in blogs and webinars addressed to Age UK, the International Longevity Centre UK and History and Policy, a monolithic narrative of old age as associated with welfare dependency and gradual decline has been constructed since Booth's research in the late nineteenth century. This narrative has remained fixed through the growth of our ageing population, and the development of both old age pensions and the modern welfare state. My research alternatively uses historical censuses that reveal the economic productivity of older people in a manner that is not satisfactorily captured in present day discourse. I will also receive training on how to address my PhD to local schools, through the presentation of maps that present variations in the proportions of older people receiving welfare, and in the application of transcribed census data.

[from EDINA's description of Land-form PANORAMA data: "http://edina.ac.uk/digimap/description/products/panorama.shtml"]

Land-Form PANORAMA is a digital representation of the contours from Ordnance Survey's 1:50 000 scale Landranger maps. Contours are at 10 metre vertical intervals together with breaklines, lakes, coastline and a selection of spot heights to the nearest metre. Digital contour accuracy values are typically better than 3 metres root mean square error.

The Ordnance Survey has used the dataset to derive mathematically a digital terrain-model (DTM) dataset. The dataset consists of a grid of height values at 50 metre intervals interpolated from the contour data. Height values are rounded to the nearest metre. Accuracy varies according to the complexity of the terrain, from 2 metres in a hilly rural area to 3 metres in an urban lowland area. This data is only available for downloading to your machine.

DTM data can be used for terrain analysis of lines of sight and in applications such as visual impact studies, drainage analysis, site planning.

Forecast: Import of Safety or Relief Valves to the UK 2024 - 2028 Discover more data with ReportLinker!

This statistic displays the leading over-the-counter (OTC) brands for hay fever relief in the United Kingdom (UK), by sales value in 2017. In this year, the leading brand for relief from hay fever was Piriteze with a sales value of approximately 17.6 million British pounds.

Data for paper in Finance and Space, 1(1), 489–493 (Dec 2024)This database, which was collated from open and proprietary datasets before being cleaned, includes 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly Department for International Development), between 1st January 2012 and 31st December 2022. The data includes contract award totals by firm, and the registered addresses and regional locations of firms that win UK aid contract awards.AbstractThis financial visualisation (FinVis) shows the geographical distribution of the UK’s top for-profit development contractors. Using a novel database, we map the location and value of 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly the Department for International Development). It shows the geography of firms capturing aid finance, concentrated in London and the southeast of England. It contributes to understanding ‘aid contractor assemblages’ (cf. Roberts, S. M. 2014. Development Capital: USAID and the Rise of Development Contractors. Annals of The Association of American Geographers, 104(5), 1030–1051), and the knowledge economies and networks of firms which have become increasingly powerful in shaping a market around the ‘business of development’.

This is an individual-level and longitudinal dataset comprising the life histories of men and women aged 60 years and over who were recorded in source materials related to the New Poor Law regime in late-Victorian England. The New Poor Law was responsible for the overall administration of state-funded welfare for the poor, particularly to those who were deemed ‘not-able-bodied’, of which the ‘aged and infirm’ were a substantial subcategory. The majority of those applying for welfare (or what was then termed ‘poor relief’) would receive a weekly allowance paid in one’s household, or ‘outdoor relief’. On average, single applicants could receive between 2-3 shillings weekly, although married couples could receive up to 4 shillings (Lees, 1998). However, an application for outdoor relief could be rejected by the Board of Guardians, who were responsible for issuing poor relief in their respective Poor Law Union. There were approximately 650 Poor Law Unions in England and Wales, comprising a group of adjacent parishes, and were roughly coterminous with the registration districts used as boundaries when preparing a national census. The Board of Guardians could instead offer ‘indoor relief’, or accommodation and care inside a Poor Law Union workhouse. Historians have found that workhouse populations came to be dominated by older men and women, and the character of the workhouse gradually changed from punitive prison into an institution predominantly providing care for older people (Ritch, 2014; Boyer, 2016; Schurer et al., 2018). Studies have shown that older men over women were more likely to be offered indoor relief, owing to perceptions about the domesticated nature of women and their more adequate provision of child care at home (Goose, 2005). Others point to variations in age profile, where those in their seventies and eighties were more likely to be offered outdoor relief (Boyer, 2016). Their research has often been conducted without detailed reference to the life histories of actual individuals recorded in the census enumerators’ books (CEBs). Therefore, the objectives of this dataset are: 1. To reconcile the entries of those recorded in the New Poor Law source materials with their appearance in the CEBs. 2. To trace the appearance of these names across censuses to build a more comprehensive picture of the socio-economic profile of older indoor relief and outdoor relief recipients. 3. To investigate differences between older indoor relief and outdoor relief recipients. To do this, census entries of individuals that appear in the New Poor Law source materials at two periods of their life course are transcribed. The ‘later period’ of their life course involves their circumstances when they were recorded in the census as aged 53-92 years in the periods 1881-1891. Depending on their traceability, they are then traced back to the ‘earlier period’ of their life course, where the individuals were recorded in the census as aged between 21-68 years in the periods 1851-1861. This dataset was used in a paper written by the present author, which focused on an assessment of 489 individuals recorded as living in domestic households that were traceable in both the ‘later period’ 1881-1891 and the ‘earlier period’ 1851-1861. Descriptive and logistic regression techniques measured the likelihood of receiving indoor and outdoor relief via occupational structure, migration, and the extent of relatives in the household (Heritage, 2022). A copy of the paper, presented at the British Society for Population Studies Annual Conference, University of Winchester, 5-7 September 2022, is available on request at HeritageTomS@aol.com Note that when ‘names’ are mentioned, they were only transcribed as part of the initial data collection, and are not released to the UK Data Service. Instead, each individual is distinguished by an anonymized ID code.

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The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 50 main crop types, grassland, and non-agricultural land covers, such as Trees, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2017 – August 2017. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. Refer to the CROME specification document. Attribution statement: © Rural Payments Agency

The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 Radar and Sentinel-2 Optical Satellite images during the period late January 2019 – September 2019. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. The data has been split into the Ordnance Survey Ceremonial Counties and each county is given a three letter code. Please refer to the CROME specification document to see which county each CODE label represents.