United Kingdom UK: Rural Land Area data was reported at 183,648.922 sq km in 2010. This stayed constant from the previous number of 183,648.922 sq km for 2000. United Kingdom UK: Rural Land Area data is updated yearly, averaging 183,648.922 sq km from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 183,648.922 sq km in 2010 and a record low of 183,648.922 sq km in 2010. United Kingdom UK: Rural Land Area 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: Land Use, Protected Areas and National Wealth. Rural land area in square kilometers, derived from urban extent grids which distinguish urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Sum;

This statistic illustrates the average monthly data usage in gigabytes in rural and urban areas in England in 2019. In 2019, the average monthly data usage was 334 gigabytes in the urban areas of England.

The project aimed to thoroughly examine the rural geographies of gentrification in France, the UK, and the USA through a comparative study of its theory, forms, and dynamics. It sought to determine whether rural gentrification could be used as a concept to explain changes in rural areas in these countries. he project began by using the concept of "sociologies of translation" to understand how the term "rural gentrification" was used in academic, policy, and popular discourses in the past and present in these countries. To identify the presence and use of social assets within rural gentrification, an asset-based theory was developed. National datasets were mapped using empirical indicators and comparable measures of rural, urban, and peri-urban spaces to analyse the geographies of gentrification in these countries and develop a typology of rural gentrification. The archive consists of the UK element of the International Rural Gentrification (iRGENT) project The dataset contains material from a questionnaire survey conducted in 9 villages, located in 6 local authority Districts in EnglandThis project will deliver the first in-depth examination of the cross-national rural geographies of both the concept and phenomenon of gentrification, through an integrated comparative study of the theory, forms and dynamics of gentrification across rural France, UK and USA. The project aims to investigate the salience of rural gentrification as a concept that is capable of explaining rural change in France, the UK and the USA. As a starting point, the project draws upon the concept of 'sociologies of translation' to understand past and current differential meanings and uses of the term rural gentrification within academic, policy and popular discourses in France, UK and USA. An asset-based theorisation of rural gentrification will be developed to create empirical indicators of the presence and use of social assets within rural gentrification. Using these empirical indicators and comparable measures of rural, urban and peri-urban spaces, census and other national datasets will be mapped to analyse the geographies of gentrification in rural France, UK and USA, and to develop a typology of rural gentrification. Using this typology, detailed comparative studies of rural gentrification spanning a contrasting range of rural regions and rural settlement areas within France, UK and USA will be undertaken using comparable interviews, surveys, and focus groups. The deposited dates relates to a 'mixed method' personally administered questionnaire. Due to consent issues, the deposited data relates to the quantitative elements of survey, and excludes data where consent was not given for data archiving.

(File Size - 5 KB). The 2011 rural-urban classification (RUC) of counties in England is based on the 2011 RUC of Output Areas (OA) published in August 2013, and allows users to create a rural/urban view of county level products. The classification was produced by the University of Sheffield and was sponsored by a cross-Government working group comprising Department for Environment, Food and Rural Affairs, Department of the Communities and Local Government and Office for National Statistics.

The Rural-Urban Classification is a Government Statistical Service product developed by the Office for National Statistics; the Department for Environment, Food and Rural Affairs; and the Welsh Assembly Government.Source: Office for National Statistics licensed under the Open Government Licence v.3.0.Contains OS data © Crown copyright 2025Links below to FAQ, Methodology and User GuideFAQ https://geoportal.statistics.gov.uk/documents/f359d48424664a1584dca319f3dac97f/aboutMethodology https://geoportal.statistics.gov.uk/documents/833a35f2a1ec49d98466b679ae0a0646/aboutUser Guide https://geoportal.statistics.gov.uk/documents/c8e8e6db38e04cb8937569d74bce277a/about

Rural areas within Local Enterprise Partnership boundaries (an interpretation by Defra given available information) and Built-Up Area geographies from the Office for National Statistics. This geography is best used in combination with the Local Enterprise Partnership boundaries geography. Boundaries will exclude built-up areas with populations over 10,000 (these will be identified as "No Features found"). Similarly some unpopulated built-up sites are excluded. Some settlements (with populations between 10,000 and 30,000) have been designated as hub towns potentially serving their wider rural area, and as such will be included in the boundaries. The rural areas shown are those which may be eligible for Rural Development Programme funding. This does not guarantee eligibility and any potential application should be discussed with the relevant Local Enterprise Partnership in the first instance. Some unpopulated built-up sites are shown separately and eligibility will need to be discussed with the Local Enterprise Partnership within which the site is situated. • The boundaries have been updated to reflect a merger of Northamptonshire Enterprise Partnership and South East Midlands Local Enterprise Partnership (LEP) (29/06/2018). Further boundary updates reflect the overlapping border area between Greater Cambridge and Greater Peterborough LEP and New Anglia LEP being assigned solely to New Anglia LEP. Also, the New Forest local authority now forms part of Solent LEP having previously been part of Enterprise M3 LEP (14/10/2019). This is a placeholder with the actual data being published shortly and publicly available in November 2019.

This statistic illustrates the average download sync speeds in megabit per second (Mbit/s) in rural and urban areas in England in 2019. In 2019, the average download sync speed in urban areas was 64 Mbit/s.

This file provides a rural-urban view of 2001 Output Areas (OA) in England and Wales. The ZIP file contains the Rural Urban Classification in XLSX and CSV format and includes a user guide. The files were originally from the NeSS website. Click on the Download button in the top right corner to download the file.The classification of rural and urban areas is the outcome of a project co-sponsored by:Office for National Statistics (ONS);Department for Environment, Food and Rural Affairs (Defra);Office of the Deputy Prime Minister (now Communities and Local Government);Countryside Agency (CA); andNational Assembly for Wales (NAW).The classification was developed in 2004 by a consortium co-ordinated by Prof. John Shepherd from Birkbeck College. The technical work was lead by Peter Bibby of University of Sheffield and the project also involved the University of Glamorgan and Geowise. The rural and urban classification of Output Areas (this dataset), Super Output Areas and Wards has been provided to enable datasets to be analysed according to the classification. This provides a powerful tool for the development and monitoring of rural and urban policies.Please Note: Output Areas do not have all the same codes as the SOA and Ward level Datasets. For SOAs and Wards the classifications for ‘Villages, Hamlets and Isolated Dwellings’ have been combined.The classification enables each of the 175,434 Output Areas in England and Wales to be classified on the basis of context i.e. whether the surrounding area of a given Output Area is sparsely populated or less sparsely populated. Secondly, the classification enables Output Areas to be distinguished on a morphological basis - as predominantly urban or predominantly town and fringe, predominantly village or predominantly dispersed (which includes Hamlets and Isolated Dwellings). The key for these are shown below. The town and fringe, village, hamlet and isolated dwellings classifications are taken as being rural.2005 Rural and Urban morphology indicator:1 - denotes predominantly urban >10k2 - denotes predominantly town and fringe3 - denotes predominantly village4 - denotes predominantly dispersed (hamlet and isolated dwellings)2005 Rural and Urban context indicator:0 denotes less sparsely populated areas1 denotes sparsely populated areas

Abstract copyright UK Data Service and data collection copyright owner. This is a mixed method data collection. The study is part of the Rural Economy and Land Use (RELU) programme. The data result from two RELU projects carried out by the same research team: • Social and environmental conditions in rural areas (SECRA), 01/10/2004 - 30/09/2005• Social and environmental inequalities in rural areas (SEIRA), 01/08/2007 -31/07/2009 Both SECRA and SEIRA consist of a series of social and environmental variables for the same 6,027 rural Lower Super Output Areas in England. SECRA is the base dataset produced during the pilot project. The SEIRA dataset contains additional variables. In addition, SEIRA also contains interviews with rural residents on perceptions of inequality and inequity. Interview results revealed that people recognise that rural areas offer limited opportunities for recreation and local services, and a lack of affordable housing. SECRA: The dataset on social and environmental conditions in rural areas was intended to encourage and enable researchers and policy makers to include both social and environmental perspectives in their consideration of rural problems. The original objectives of the one-year scoping study to produce the dataset were:1. to compile a rural sustainability dataset incorporating both socio-economic andenvironmental characteristics of rural census output areas in England;2. to highlight and address the methodological difficulties in working with spatial andsurvey data from sources in the social and environmental science domains;3. to identify the limitations of currently available data for rural areas;4. to pilot the use of the rural sustainability dataset for classifying rural areas according to socio-economic and environmental conditions and hence allowing the construction of typologies to provide sampling frames for further research and to inform policies for sustainable rural development;5. to explore the possibilities of extending dataset coverage to Scotland and NorthernIreland given differences in census data infrastructures and output design processes. The SECRA dataset has been compiled at the level of the new Super Output Areas (SOAs) for England. The rural extent has been identified from the new Office of the Deputy Prime Minister (ODPM) definition of urban and rural areas which relies primarily on the morphology and context of settlements. Further information and documentation for this study may be found through the ESRC Research Catalogue: Developing spatial data for the classification of rural areas. SEIRA: This research project has investigated the nature and extent of social and environmental inequalities and injustice in rural England addressing the questions:1. How can we measure rural spatial inequalities in (a) socio-economic and (b) environmental-ecological characteristics of small-scale areas of England? 2. How can inequality measures inform our understanding of the distributions of social and environmental deprivation in rural England? 3. How do rural residents experience the kinds of inequality identified by the research, and what types of inequalities do they perceive as inequitable? 4. Are there identifiable areas of rural England where the potential for environmental and social inequity suggests a need for policy intervention? Inequality in social, economic and environmental conditions has important implications for individuals or groups of people experiencing its negative effects, but also for society as a whole. In urban areas, poor environments are associated frequently with deprivation and social exclusion. Where the unequal distribution of social and environmental goods is considered unfair, it constitutes social or environmental injustice. This project has quantified inequalities in social and environmental conditions throughout rural England and identified those areas where inequalities are greatest. It has also enhanced understanding of perceptions of inequality and injustice in rural areas. The work shows how rural policy can be refined and targeted to tackle these multi-faceted problems in the most appropriate way for the benefit of society. Further information for this study may be found through the ESRC Research Catalogue webpage: Social and environmental inequalities in rural areas.

This is a mixed method data collection. The study is part of the Rural Economy and Land Use (RELU) programme. The data result from two RELU projects carried out by the same research team:
• Social and environmental conditions in rural areas (SECRA), 01/10/2004 - 30/09/2005
• Social and environmental inequalities in rural areas (SEIRA), 01/08/2007 -31/07/2009

Both SECRA and SEIRA consist of a series of social and environmental variables for the same 6,027 rural Lower Super Output Areas in England. SECRA is the base dataset produced during the pilot project. The SEIRA dataset contains additional variables. In addition, SEIRA also contains interviews with rural residents on perceptions of inequality and inequity. Interview results revealed that people recognise that rural areas offer limited opportunities for recreation and local services, and a lack of affordable housing.

SECRA: The dataset on social and environmental conditions in rural areas was intended to encourage and enable researchers and policy makers to include both social and environmental perspectives in their consideration of rural problems.

The original objectives of the one-year scoping study to produce the dataset were:
1. to compile a rural sustainability dataset incorporating both socio-economic and
environmental characteristics of rural census output areas in England;
2. to highlight and address the methodological difficulties in working with spatial and
survey data from sources in the social and environmental science domains;
3. to identify the limitations of currently available data for rural areas;
4. to pilot the use of the rural sustainability dataset for classifying rural areas according to socio-economic and environmental conditions and hence allowing the construction of typologies to provide sampling frames for further research and to inform policies for sustainable rural development;
5. to explore the possibilities of extending dataset coverage to Scotland and Northern
Ireland given differences in census data infrastructures and output design processes.

The SECRA dataset has been compiled at the level of the new Super Output Areas (SOAs) for England. The rural extent has been identified from the new Office of the Deputy Prime Minister (ODPM) definition of urban and rural areas which relies primarily on the morphology and context of settlements.

Further information and documentation for this study may be found through the ESRC Research Catalogue: Developing spatial data for the classification of rural areas.

SEIRA: This research project has investigated the nature and extent of social and environmental inequalities and injustice in rural England addressing the questions:
1. How can we measure rural spatial inequalities in (a) socio-economic and (b) environmental-ecological characteristics of small-scale areas of England?
2. How can inequality measures inform our understanding of the distributions of social and environmental deprivation in rural England?
3. How do rural residents experience the kinds of inequality identified by the research, and what types of inequalities do they perceive as inequitable?
4. Are there identifiable areas of rural England where the potential for environmental and social inequity suggests a need for policy intervention?

Inequality in social, economic and environmental conditions has important implications for individuals or groups of people experiencing its negative effects, but also for society as a whole. In urban areas, poor environments are associated frequently with deprivation and social exclusion. Where the unequal distribution of social and environmental goods is considered unfair, it constitutes social or environmental injustice. This project has quantified inequalities in social and environmental conditions throughout rural England and identified those areas where inequalities are greatest. It has also enhanced understanding of perceptions of inequality and injustice in rural areas. The work shows how rural policy can be refined and targeted to tackle these multi-faceted problems in the most appropriate way for the benefit of society.

Further information for this study may be found through the ESRC Research Catalogue webpage: Social and environmental inequalities in rural areas.

This is a polygon spatial dataset that describes the geographic extent and location of all land under management within the Countryside Stewardship Agri-Environment Scheme from 01/01/2016 onwards. The data has been produced by linking tabular information extracts from the scheme administration system against a national extract of the Land Parcel Information System held by the Rural Payments Agency.

This file provides a rural-urban view of 2001 Lower Layer Super Output Areas (LSOA) in England and Wales. The ZIP file contains the Rural Urban Classification in XLSX and CSV format and includes a user guide. The files were originally from the NeSS website. Click on the Download button to download the ZIP file.The classification of rural and urban areas is the outcome of a project co-sponsored by:Office for National Statistics (ONS);Department for Environment, Food and Rural Affairs (Defra);Office of the Deputy Prime Minister (now Communities and Local Government);Countryside Agency (CA); andNational Assembly for Wales (NAW).The classification was developed in 2004 by a consortium co-ordinated by Prof. John Shepherd from Birkbeck College. The technical work was lead by Peter Bibby of University of Sheffield and the project also involved the University of Glamorgan and Geowise. The rural and urban classification of Output Areas, Super Output Areas (this dataset) and Wards has been provided to enable datasets to be analysed according to the classification. This provides a powerful tool for the development and monitoring of rural and urban policies.Please Note: Super Output Areas do not have all the same codes as the OA level Dataset. For SOAs and Wards the classifications for ‘Villages, Hamlets and Isolated Dwellings’ have been combined.Similar procedures to those used to classify Output Areas apply to the classification for the 34,378 Lower Layer Super Output Areas in the dataset. However the morphological classification differs in the number of categories as very few LSOAs can be classified as predominantly dispersed settlements. LSOAs are categorised into just three domains: urban 10k, town and fringe and villages, hamlets and isolated dwellings, using the key below:2005 Rural and Urban morphology indicator1 - denotes predominantly urban >10k2 - denotes predominantly town and fringe3 - denotes other rural (including village, hamlet and isolated dwellings)2005 Rural and Urban context indicator0 - denotes less sparsely populated areas1 - denotes sparsely populated areas

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Forecast: Average Number of Rooms Per Person in Rural Areas in the UK 2024 - 2028 Discover more data with ReportLinker!

In 2021, it was found that *** percent of survey participants from English urban major conurbations stated that they cycle on at least one occasion per month for leisure purposes. Cycling for leisure once a month was more popular in rural hamlets, with **** percent of survey participants claiming to have done so in 2021.