Medical Service Study Areas
- data.ca.gov
- data.chhs.ca.gov
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Updated Dec 6, 2024
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EmailClick to copy linkLink copiedCiteDepartment of Health Care Access and Information (2024). Medical Service Study Areas [Dataset]. https://data.ca.gov/dataset/medical-service-study-areasarcgis geoservices rest api, geojson, kml, zip, html, csvAvailable download formatsDataset updatedDec 6, 2024Dataset authored and provided byDepartment of Health Care Access and InformationLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis is the current Medical Service Study Area. California Medical Service Study Areas are created by the California Department of Health Care Access and Information (HCAI).Check the Data Dictionary for field descriptions.Search for the Medical Service Study Area data on the CHHS Open Data Portal.Checkout the California Healthcare Atlas for more Medical Service Study Area information.This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.
Source of update: American Community Survey 5-year 2006-2010 data for poverty. For source tables refer to InfoUSA update procedural documentation. The 2010 MSSA Detail layer was developed to update fields affected by population change. The American Community Survey 5-year 2006-2010 population data pertaining to total, in households, race, ethnicity, age, and poverty was used in the update. The 2010 MSSA Census Tract Detail map layer was developed to support geographic information systems (GIS) applications, representing 2010 census tract geography that is the foundation of 2010 medical service study area (MSSA) boundaries. ***This version is the finalized MSSA reconfiguration boundaries based on the US Census Bureau 2010 Census. In 1976 Garamendi Rural Health Services Act, required the development of a geographic framework for determining which parts of the state were rural and which were urban, and for determining which parts of counties and cities had adequate health care resources and which were "medically underserved". Thus, sub-city and sub-county geographic units called "medical service study areas [MSSAs]" were developed, using combinations of census-defined geographic units, established following General Rules promulgated by a statutory commission. After each subsequent census the MSSAs were revised. In the scheduled revisions that followed the 1990 census, community meetings of stakeholders (including county officials, and representatives of hospitals and community health centers) were held in larger metropolitan areas. The meetings were designed to develop consensus as how to draw the sub-city units so as to best display health care disparities. The importance of involving stakeholders was heightened in 1992 when the United States Department of Health and Human Services' Health and Resources Administration entered a formal agreement to recognize the state-determined MSSAs as "rational service areas" for federal recognition of "health professional shortage areas" and "medically underserved areas". After the 2000 census, two innovations transformed the process, and set the stage for GIS to emerge as a major factor in health care resource planning in California. First, the Office of Statewide Health Planning and Development [OSHPD], which organizes the community stakeholder meetings and provides the staff to administer the MSSAs, entered into an Enterprise GIS contract. Second, OSHPD authorized at least one community meeting to be held in each of the 58 counties, a significant number of which were wholly rural or frontier counties. For populous Los Angeles County, 11 community meetings were held. As a result, health resource data in California are collected and organized by 541 geographic units. The boundaries of these units were established by community healthcare experts, with the objective of maximizing their usefulness for needs assessment purposes. The most dramatic consequence was introducing a data simultaneously displayed in a GIS format. A two-person team, incorporating healthcare policy and GIS expertise, conducted the series of meetings, and supervised the development of the 2000-census configuration of the MSSAs.MSSA Configuration Guidelines (General Rules):- Each MSSA is composed of one or more complete census tracts.- As a general rule, MSSAs are deemed to be "rational service areas [RSAs]" for purposes of designating health professional shortage areas [HPSAs], medically underserved areas [MUAs] or medically underserved populations [MUPs].- MSSAs will not cross county lines.- To the extent practicable, all census-defined places within the MSSA are within 30 minutes travel time to the largest population center within the MSSA, except in those circumstances where meeting this criterion would require splitting a census tract.- To the extent practicable, areas that, standing alone, would meet both the definition of an MSSA and a Rural MSSA, should not be a part of an Urban MSSA.- Any Urban MSSA whose population exceeds 200,000 shall be divided into two or more Urban MSSA Subdivisions.- Urban MSSA Subdivisions should be within a population range of 75,000 to 125,000, but may not be smaller than five square miles in area. If removing any census tract on the perimeter of the Urban MSSA Subdivision would cause the area to fall below five square miles in area, then the population of the Urban MSSA may exceed 125,000. - To the extent practicable, Urban MSSA Subdivisions should reflect recognized community and neighborhood boundaries and take into account such demographic information as income level and ethnicity. Rural Definitions: A rural MSSA is an MSSA adopted by the Commission, which has a population density of less than 250 persons per square mile, and which has no census defined place within the area with a population in excess of 50,000. Only the population that is located within the MSSA is counted in determining the population of the census defined place. A frontier MSSA is a rural MSSA adopted by the Commission which has a population density of less than 11 persons per square mile. Any MSSA which is not a rural or frontier MSSA is an urban MSSA. Last updated December 6th 2024.- Z
A dataset of metadata for UK academic institutional repositories, including...
- data.niaid.nih.gov
Updated May 20, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDomhnall Carlin (2023). A dataset of metadata for UK academic institutional repositories, including a census of research software contained. [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7951035Dataset updatedMay 20, 2023Dataset authored and provided byDomhnall CarlinLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyArea coveredUnited KingdomDescriptionA dataset of metadata for UK academic institutional repositories, including a census of research software contained.
URL The OAI url id CORE Identifier openDoarId Open DOAR identifier name Name of repository Russell_member If the university is a member of the Russell Group of research intensive universities RSE_group If an RSE group is present (based on Soc of RSE data) email Redacted uri Not used uni_sld Second level domain (the part of the url between . And .ac.uk homepageUrl University website source Not used ris_software the Research Information System software used ris_software_enum Resolve ris_software into similar types (e.g. Eprints 3, EPrints3.3.16 both equal eprints) metadataFormat the protocol used for metadata createdDate Repository creation date location location of university logo University logo (resolves in error) type Only = Repository for this dataset. Can be = journal etc. stats Not used contains_software_set Whether the OAI-PMH software set is present in the repository. Num_sw_records The response of the OAI-PMH query for software (erroneous as discussed in paper) Error The category of error returned by the experiment’s OAI-PMH queries (see paper) Manual_Num_sw_records The true amount of software contained in the repository as found by a manual exhaustive search of each university website Category Whether the repository (a) contains software; (b) can contain software, but doesn’t yet; (c) has no separate type of research output called software or similar - t
Transport - Dataset - Data Place Plymouth
- plymouth.thedata.place
Updated Jul 20, 2017+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCite(2017). Transport - Dataset - Data Place Plymouth [Dataset]. https://plymouth.thedata.place/dataset/highwaysDataset updatedJul 20, 2017LicenseOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automaticallyArea coveredPlymouthDescriptionA variety of multiple Data sets showing Transport Statistics in Plymouth. This DATA is taken from both internal sources in Plymouth City Council Departments and The Local Government data source and the Census of 2011. Please see information on each data item to ascertain individual source and accreditation. This material is Crown Copyright. You may re-use this information (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence. To view this licence, visit www.nationalarchives.gov.uk/doc/open-government-licence
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Components of population change (1991 onwards), by Welsh local authorities
- statswales.gov.wales
Updated Jul 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). Components of population change (1991 onwards), by Welsh local authorities [Dataset]. https://statswales.gov.wales/Catalogue/Population-and-Migration/Population/Components-of-Change/componentsofpopulationchange-by-timeperiod-componentDataset updatedJul 2024Area coveredWalesDescriptionThis dataset provides the components of change within the official population estimates for the local authorities in Wales. These estimates are consistent with the results of Census 2011 and show the contributions that natural change (births less deaths); different elements of migration and other smaller adjustments make to the changing population estimates in each local authority over the period since 1991. It should be noted that there are some definitional changes for mid-2020 (particularly affecting the migration components) compared to mid-2019 populations estimates data and it is advised that users read the Quality and Methodology Information section on the Office for National Statistics website. Internal migration estimates for mid-2023 have been produced using a different method to previous years, following a change to the variables available in the Higher Education Statistics Agency (HESA) data. This has resulted in Wales level data for internal inward and internal outward migration being unavailable for mid-2023. This material is Crown Copyright and may be re-used (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence.
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Mid-year population estimates (2009 onwards), by Welsh health boards, by...
- statswales.gov.wales
Updated Jul 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). Mid-year population estimates (2009 onwards), by Welsh health boards, by single year of age and sex [Dataset]. https://statswales.gov.wales/Catalogue/Population-and-Migration/Population/Estimates/Local-Health-Boards/populationestimates-by-lhb-ageDataset updatedJul 2024Area coveredWalesDescriptionThis dataset provides population estimates for the local health boards in Wales, for the period from 2009 onwards by sex and single year of age, together with some aggregated age groups. It should be noted that for mid-2020, there are some definitional changes (particularly affecting the migration components) compared with mid-2019 populations estimates data and it is advised users read the Quality and Methodology Information section on the Office for National Statistics website. For Wales, the mid-2021 population estimates are the first population estimates to be based on Census 2021. Internal migration estimates for mid-2023 have been produced using a different method to previous years, following a change to the variables available in the Higher Education Statistics Agency (HESA) data. This material is Crown Copyright and may be re-used (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence.
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Accompanying Research on the Census Campaign (Panel 1986-1987)
- datasearch.gesis.org
2292Updated Dec 28, 2017+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteSchulz, Winfried; Kindelmann, Klaus (2017). Accompanying Research on the Census Campaign (Panel 1986-1987) [Dataset]. http://doi.org/10.4232/1.22922292Available download formatsUnique identifierhttps://doi.org/10.4232/1.2292Dataset updatedDec 28, 2017Dataset provided byda|ra (Registration agency for social science and economic data)AuthorsSchulz, Winfried; Kindelmann, KlausLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyDescriptionWirksamkeit der Aufklärungsmaßnahmen der Bundesregierung zur Volkszählung 1987.
Themen: In der ersten Panelwelle (10.01.-05.02.1986) wurde gefragt: Wichtigste aktuelle politische Fragen; eigene Meinungsführerschaft in politischen Fragen; aktuelle Gesprächsthemen mit anderen (Auswahl); wichtigste Informationsquellen zu aktuellen Themen; Bekanntheit ausgewählter Logos und Symbole (Deutsche Bank, Sparkasse, Mercedes-Benz, Bundesadler, Volkszählung, Shell, Frauensymbol, Glücksspirale, Malteserkreuz, Abakus u.a.); Kenntnis des Scheiterns der Volkszählung 1983; Kenntnis von einer späteren Durchführung und des Zeitpunktes; Bekanntheit des Zeitpunktes der letzten Volkszählung; Assoziationen zur Volkszählung; eigene sowie vermutete Einstellung der Bevölkerungsmehrheit zur Volkszählung; Bekanntheit ausgewählter Personen des öffentlichen Lebens; Kenntnis des Amts von Egon Hölder sowie für ihn empfundene Sympathie; Einstellung zu Politik und Politikern (Skala); Häufigkeit der Lektüre ausgewählter Zeitschriften (Mediennutzung); Zeitraum seit der letzten Lektüre ausgewählter Zeitschriften, Zeitungen und Nachrichtenmagazine (Skalometer); Intensität und Dauer des Rundfunkkonsums; Häufigkeit des Hörens von Rundfunknachrichten; Einstellung zu Datenerhebung und Datenschutz (Skala); Zufriedenheit mit den Verhältnissen in der BRD; gleiche politische Einstellung im näheren persönlichen Umfeld; Häufigkeit und Tageszeit des Fernsehkonsums; präferierte Fernsehsendungen; Intensität des Konsums der Fernsehnachrichten; regelmäßige Lektüre der Lokalpresse; psychologische Selbstcharakterisierung (Skala): Zielorientierung, Durchsetzungsfähigkeit, Verantwortung, Erfolgsorientierung, Optimismus, Pessimismus, Selbstsicherheit und Lebenszufriedenheit; Einstellung zum technologischen Fortschritt; eigenes Sternzeichen; Selbsteinschätzung der Größe des Bekanntenkreises; Selbsteinschätzung des Informationsstands zur Volkszählung; soziale Machtlosigkeit, Schicksalsgläubigkeit, Pessimismus, Motivation und interpersonelles Vertrauen (Skala); eigene Beteiligungsabsicht an der Volkszählung sowie Beteiligungsbereitschaft des persönlichen Umfelds; positive oder negative Tendenz in den wahrgenommenen Medienveröffentlichungen; Befragungsthemen über die man bereitwillig Auskunft geben würde und Kenntnis darüber, ob diese Themen in der Volkszählung abgefragt werden; Furcht vor staatlichem Missbrauch der Volkszählungsdaten; geschätzte Dauer zur Beantwortung des Volkszählungs-Fragebogens; bemerkte Werbeanzeigen zur Volkszählung in der Presse und Erinnerung daran; Furcht vor Missbrauch der persönlichen Daten; Einstellung zur Volkszählung (Skalometer); Postmaterialismus; Zuständigkeit für Behördenangelegenheiten im Haushalt und Bereitschaft, diese auch für andere Personen zu übernehmen; Politikinteresse; Wahlverhalten bei der letzten Bundestagswahl; Parteipräferenz (Sonntagsfrage); erwarteter Wahlsieger bei einer angenommenen Bundestagswahl am nächsten Sonntag; Wahrscheinlichkeit für eine absolute Mehrheit von CDU/CSU oder SPD.
Demographie: Geschlecht; Alter; eigene Beteiligung an der Hausarbeit; Schulbildung; Erwerbstätigkeit; berufliche Position; Beschäftigung im öffentlichen Dienst; Haushaltsvorstand; Schulbildung, Erwerbstätigkeit und berufliche Position des Haushaltsvorstandes; Haushaltsvorstand im öffentlichen Dienst; Familienstand; Anzahl der Personen und der Minderjährigen im Haushalt; Konfession; Kirchgangshäufigkeit; Anzahl der Einkommensempfänger im Haushalt; monatliches Nettoeinkommen des Haushalts insgesamt; Höhe des eigenen Einkommens.
Themen: In der zweiten Panelwelle (10.04.-21.04.1986) wurde gefragt: Wichtigste aktuelle politische Fragen; aktuelle Gesprächsthemen mit anderen; Häufigkeit des Einkaufs in Naturkost- und Reformläden; Bekanntheit ausgewählter Logos und Symbole (Deutsche Bank, Sparkasse, Mercedes-Benz, Bundesadler, Volkszählung, Shell, Frauensymbol, Glücksspirale, Malteserkreuz, Abakus u.a.); Präferenz für Arbeits- oder Freizeit; präferierte Erziehungsziele; Kenntnis von der Durchführung der Volkszählung und des Zeitpunktes; eigene sowie vermutete Einstellung der Bevölkerungsmehrheit zur Volkszählung; Einstellung des persönlichen Umfelds zur Volkszählung; Einschätzung des eigenen Informationsstandes zur Volkszählung und Interesse diesen zu verbessern; geschätzter diesbezüglicher Informationsstand im persönlichen Umfeld; eigene Beteiligungsabsicht an der Volkszählung sowie die des persönlichen Umfelds; Assoziationen zur Volkszählung; Intensität des eigenen gesellschaftlichen Engagements und der Integration in die Gesellschaft (Skala); Existenz einer Buchführung im Haushalt; Vergleich des eigenen Haushaltseinkommens mit dem vermuteten Durchschnitt; ausreichendes Haushaltseinkommen zum Lebensunterhalt; Teilnahmebereitschaft an einer Mikrozensus-Erhebung; Selbsteinschätzung auf einem Links-Rechts-Kontinuum; generelles Vertrauen in andere Menschen; Glücksempfindung; positive oder negative Tendenz in den wahrgenommenen Medienveröffentl
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is an update to the MSSA geometries and demographics to reflect the new 2020 Census tract data. The Medical Service Study Area (MSSA) polygon layer represents the best fit mapping of all new 2020 California census tract boundaries to the original 2010 census tract boundaries used in the construction of the original 2010 MSSA file. Each of the state's new 9,129 census tracts was assigned to one of the previously established medical service study areas (excluding tracts with no land area), as identified in this data layer. The MSSA Census tract data is aggregated by HCAI, to create this MSSA data layer. This represents the final re-mapping of 2020 Census tracts to the original 2010 MSSA geometries. The 2010 MSSA were based on U.S. Census 2010 data and public meetings held throughout California.