10 datasets found
  1. Southall, Raleigh, NC, US Demographics 2025

    • point2homes.com
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    Updated 2025
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    Point2Homes (2025). Southall, Raleigh, NC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/NC/Raleigh/Southall-Demographics.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    North Carolina, United States, Raleigh
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 70 more
    Description

    Comprehensive demographic dataset for Southall, Raleigh, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  2. Southall Quarter, Virginia Beach, VA, US Demographics 2025

    • point2homes.com
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    Updated 2025
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    Point2Homes (2025). Southall Quarter, Virginia Beach, VA, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/VA/Virginia-Beach/Southall-Quarter-Demographics.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Virginia Beach, United States, Virginia
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 69 more
    Description

    Comprehensive demographic dataset for Southall Quarter, Virginia Beach, VA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  3. p

    Ealing, Southall Demographics - Key Stats

    • propertistics.co.uk
    Updated May 3, 2024
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    Propertistics (2024). Ealing, Southall Demographics - Key Stats [Dataset]. https://propertistics.co.uk/stats/ealing/ealing,-southall/demographics/
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    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    Propertistics
    Area covered
    Southall, London Borough of Ealing, Ealing Southall
    Description

    Ealing, Southall, Ealing demographics statistics broken down by ethnicity, religion, age, birthplace and much more. View full insights for the local and surrounding households.

  4. Woodscreek at Southall, Raleigh, NC, US Demographics 2025

    • point2homes.com
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    Updated 2025
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    Point2Homes (2025). Woodscreek at Southall, Raleigh, NC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/NC/Raleigh/Woodscreek-At-Southall.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    North Carolina, Raleigh, Woodscreek At Southall
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 70 more
    Description

    Comprehensive demographic dataset for Woodscreek at Southall, Raleigh, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  5. f

    Data_Sheet_1_Imaging Protocol, Feasibility, and Reproducibility of...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Nov 13, 2020
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    Oguntade, Ayodipupo; Jones, Siana; Williams, Suzanne; Al Saikhan, Lamia; Ghosh, Arjun K.; Bhuva, Anish; Heasman, John; Wright, Andrew; Eastwood, Sophie; Chaturvedi, Nish; Alobaida, Muath; Manisty, Charlotte; Tillin, Therese; Hughes, Alun D.; March, Katherine; Park, Chloe; Mayet, Jamil (2020). Data_Sheet_1_Imaging Protocol, Feasibility, and Reproducibility of Cardiovascular Phenotyping in a Large Tri-Ethnic Population-Based Study of Older People: The Southall and Brent Revisited (SABRE) Study.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000491838
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    Dataset updated
    Nov 13, 2020
    Authors
    Oguntade, Ayodipupo; Jones, Siana; Williams, Suzanne; Al Saikhan, Lamia; Ghosh, Arjun K.; Bhuva, Anish; Heasman, John; Wright, Andrew; Eastwood, Sophie; Chaturvedi, Nish; Alobaida, Muath; Manisty, Charlotte; Tillin, Therese; Hughes, Alun D.; March, Katherine; Park, Chloe; Mayet, Jamil
    Description

    Background: People of South Asian and African Caribbean ethnicities living in UK have a high risk of cardiometabolic disease. Limited data exist regarding detailed cardiometabolic phenotyping in this population. Methods enabling this are widely available, but the practical aspects of undertaking such studies in large and diverse samples are seldom reported.Methods: The Southall and Brent Revisited (SABRE) study is the UK's largest tri-ethnic longitudinal cohort. Over 1,400 surviving participants (58–85 years) attended the 2nd study visit (2008–2011); during which, comprehensive cardiovascular phenotyping, including 3D-echocardiography [3D-speckle-tracking (3D-STE)], computed tomography, coronary artery calcium scoring, pulse wave velocity, central blood pressure, carotid artery ultrasound, and retinal imaging, were performed. We describe the methods used with the aim of providing a guide to their feasibility and reproducibility in a large tri-ethnic population-based study of older people.Results: Conventional echocardiography and all vascular measurements showed high feasibility (>90% analyzable of clinic attendees), but 3D-echocardiography (3DE) and 3D-STE were less feasible (76% 3DE acquisition feasibility and 38% 3D-STE feasibility of clinic attendees). 3D-STE feasibility differed by ethnicity, being lowest in South Asian participants and highest in African Caribbean participants (p < 0.0001). Similar trends were observed in men (P < 0.0001) and women (P = 0.005); however, in South Asians, there were more women with unreadable 3D-images compared to men (67 vs. 58%). Intra- and inter-observer variabilities were excellent for most of conventional and advanced echocardiographic measures. The test-retest reproducibility was good-excellent and fair-good for conventional and advanced echocardiographic measures, respectively, but lower than when re-reading the same images. All vascular measures demonstrated excellent or fair-good reproducibility.Conclusions: We describe the feasibility and reproducibility of detailed cardiovascular phenotyping in an ethnically diverse population. The data collected will lead to a better understanding of why people of South Asian and African Caribbean ancestry are at elevated risk of cardiometabolic diseases.

  6. u

    Great Britain Historical Database : Census Data : Age and Sex Statistics,...

    • datacatalogue.ukdataservice.ac.uk
    Updated May 6, 2020
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    Dorling, D., University of Newcastle upon Tyne, Department of Geography; Southall, H. R., University of London, Queen Mary and Westfield College, Department of Geography; Ell, P., Queen's University of Belfast, Centre for Data Digitisation and Analysis; Aucott, P., University of Portsmouth, Department of Geography (2020). Great Britain Historical Database : Census Data : Age and Sex Statistics, 1851-1971 [Dataset]. http://doi.org/10.5255/UKDA-SN-4551-1
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    Dataset updated
    May 6, 2020
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Dorling, D., University of Newcastle upon Tyne, Department of Geography; Southall, H. R., University of London, Queen Mary and Westfield College, Department of Geography; Ell, P., Queen's University of Belfast, Centre for Data Digitisation and Analysis; Aucott, P., University of Portsmouth, Department of Geography
    Time period covered
    Jan 1, 1851 - Dec 31, 1970
    Area covered
    United Kingdom, Great Britain, England, Scotland, England and Wales
    Description

    The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

  7. Data_Sheet_1_Antihypertensive Medication Use and Its Effects on Blood...

    • frontiersin.figshare.com
    docx
    Updated Jun 16, 2023
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    Alun D. Hughes; Sophie V. Eastwood; Therese Tillin; Nish Chaturvedi (2023). Data_Sheet_1_Antihypertensive Medication Use and Its Effects on Blood Pressure and Haemodynamics in a Tri-ethnic Population Cohort: Southall and Brent Revisited (SABRE).docx [Dataset]. http://doi.org/10.3389/fcvm.2021.795267.s001
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    docxAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Alun D. Hughes; Sophie V. Eastwood; Therese Tillin; Nish Chaturvedi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Objectives:We characterised differences in BP control and use of antihypertensive medications in European (EA), South Asian (SA) and African-Caribbean (AC) people with hypertension and investigated the potential role of type 2 diabetes (T2DM), reduced arterial compliance (Ca), and antihypertensive medication use in any differences.Methods:Analysis was restricted to individuals with hypertension [age range 59–85 years; N = 852 (EA = 328, SA = 356, and AC =168)]. Questionnaires, anthropometry, BP measurements, echocardiography, and fasting blood assays were performed. BP control was classified according to UK guidelines operating at the time of the study. Data were analysed using generalised structural equation models, multivariable regression and treatment effect models.Results:SA and AC people were more likely to receive treatment for high BP and received a greater average number of antihypertensive agents, but despite this a smaller proportion of SA and AC achieved control of BP to target [age and sex adjusted odds ratio (95% confidence interval) = 0.52 (0.38, 0.72) and 0.64 (0.43, 0.96), respectively]. Differences in BP control were partially attenuated by controlling for the higher prevalence of T2DM and reduced Ca in SA and AC. There was little difference in choice of antihypertensive agent by ethnicity and no evidence that differences in efficacy of antihypertensive regimens contributed to ethnic differences in BP control.Conclusions:T2DM and more adverse arterial stiffness are important factors in the poorer BP control in SA and AC people. More effort is required to achieve better control of BP, particularly in UK ethnic minorities.

  8. u

    Great Britain Historical Database : Census Data : Inter-Censal Population...

    • datacatalogue.ukdataservice.ac.uk
    Updated May 6, 2020
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    Gregory, I., University of London, Queen Mary and Westfield College, Department of Geography; Southall, H. R., University of London, Queen Mary and Westfield College, Department of Geography (2020). Great Britain Historical Database : Census Data : Inter-Censal Population Change Statistics, 1851-1961 [Dataset]. http://doi.org/10.5255/UKDA-SN-4556-1
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    Dataset updated
    May 6, 2020
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Gregory, I., University of London, Queen Mary and Westfield College, Department of Geography; Southall, H. R., University of London, Queen Mary and Westfield College, Department of Geography
    Time period covered
    Jan 1, 1851 - Jan 1, 1961
    Area covered
    England, England and Wales, Wales, United Kingdom, Great Britain
    Description

    The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

  9. s

    Data from: Year-round sexual harassment as a behavioral mediator of...

    • eprints.soton.ac.uk
    • datasetcatalog.nlm.nih.gov
    • +2more
    Updated Jun 19, 2024
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    Wearmouth, Victoria; Southall, Emily; Morritt, David; Thompson, Richard C.; Cuthill, Innes C.; Partridge, Julian C.; Sims, David W.; Partridge, Julian C. (2024). Data from: Year-round sexual harassment as a behavioral mediator of vertebrate population dynamics [Dataset]. http://doi.org/10.5061/dryad.5f4d8
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    Dataset updated
    Jun 19, 2024
    Dataset provided by
    DRYAD
    Authors
    Wearmouth, Victoria; Southall, Emily; Morritt, David; Thompson, Richard C.; Cuthill, Innes C.; Partridge, Julian C.; Sims, David W.; Partridge, Julian C.
    Description

    Within-species sexual segregation is a widespread phenomenon among vertebrates but its causes remain a topic of much debate. Female avoidance of male coercive mating attempts has the potential to influence the social structure of animal populations, yet it has been largely overlooked as a driver of sexual separation. Indeed, its potential role in long-term structuring of natural populations has not been studied. Here we use a comparative approach to examine the suitability of multiple hypotheses forwarded to account for sexual segregation (i.e. activity budget; predation risk; thermal niche - fecundity; and social factors) as drivers underlying sex-specific habitat use in a monomorphic model vertebrate, the small spotted catshark, Scyliorhinus canicula. Using this hypothesis-driven approach we show that year-round sexual habitat segregation in S. canicula can be accounted for directly by female avoidance of male sexual harassment. Long-term electronic tracking reveals sperm-storing female catsharks form daytime refuging aggregations in shallow water caves (~3.2 m water depth), and undertake nocturnal foraging excursions into deeper water (~25 m) most nights. In contrast, males occupy deeper, cooler habitat (~18 m) by day, and exploit a range of depths nocturnally (1 - 23 m). Males frequent the locations of shallow water female refuges, apparently intercepting females for mating when they emerge from, and return to, refuges on foraging excursions. Females partly compensate for higher metabolic costs incurred when refuging in warmer habitat by remaining inactive; however, egg production rates decline in the warmest months, but despite this, refuging behavior is not abandoned. Thermal choice experiments confirm individual females are willing to 'pay' in energy terms to avoid aggressive males and unsolicited male mating attempts. Long-term evasion of sexual harassment influences both the social structure and fecundity of the study population with females trading-off potential injury and unsolicited matings with longer term fitness. This identifies sexual harassment as a persistent cost to females that can mediate vertebrate population dynamics.,11-2052 dataMS Excel spreadsheet containing data obtained under natural (field) and controlled (laboratory) conditions. Individual S. canicula were electronically tracked in the natural environment, whilst in the laboratory the movements of individuals were tracked using video tracking techniques. Observations made under both natural and controlled conditions are also included. See manuscript materials and methods for further details.

  10. u

    Data from: Great Britain Historical Database : Census Data : Religion...

    • datacatalogue.ukdataservice.ac.uk
    Updated Aug 16, 2022
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    Southall, H. R., University of London, Queen Mary and Westfield College, Department of Geography; Ell, P., Queen's University of Belfast, Centre for Data Digitisation and Analysis (2022). Great Britain Historical Database : Census Data : Religion Statistics, 1851 [Dataset]. http://doi.org/10.5255/UKDA-SN-4562-2
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    Dataset updated
    Aug 16, 2022
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Southall, H. R., University of London, Queen Mary and Westfield College, Department of Geography; Ell, P., Queen's University of Belfast, Centre for Data Digitisation and Analysis
    Time period covered
    Mar 30, 1851
    Area covered
    England and Wales, Wales, Scotland, United Kingdom, Great Britain
    Description

    The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

    These data were computerised by the Great Britain Historical GIS Project and its collaborators. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales.

    The 1851 Census of Religious Worship was a separate census from the 1851 Census of Population, gathering data on church attendance on Sunday 30th March 1851. These data are taken from the published reports, which for England and Wales assemble data by Registration District, and for Scotland by counties and burghs. The data for England and Wales were computerised by Paul Ell as part of his doctoral research, and include some changes to the tabulated numbers based on information in the footnotes to the tables. The Scottish data were computerised later for the GBHDB, with funding from the ESRC and the UK National Lottery.

    The data list, for each religious denomination within each area, the number of churches, the number of "sittings" (total seats available across all services on the census Sunday) and the number of "attendances", i.e. persons attending services. The only non-Christian group included were Jews.

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Point2Homes (2025). Southall, Raleigh, NC, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/NC/Raleigh/Southall-Demographics.html
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Southall, Raleigh, NC, US Demographics 2025

Explore at:
htmlAvailable download formats
Dataset updated
2025
Dataset authored and provided by
Point2Homeshttps://plus.google.com/116333963642442482447/posts
Time period covered
2025
Area covered
North Carolina, United States, Raleigh
Variables measured
Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 70 more
Description

Comprehensive demographic dataset for Southall, Raleigh, NC, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

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