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This is a monthly report on publicly funded community services for people of all ages using data from the Community Services Data Set (CSDS) reported in England for November 2022. It has been developed to help achieve better outcomes and provide data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website (linked at the bottom of this page). The csv data file for November 2022 and provisional data file for December 2022 now include organisational level breakdown by Integrated Care Board (ICB). This change occured from October 2022, and is reflected in the Power BI dashboard.
The Department of Health Care Services (DHCS) Long-Term Services and Supports (LTSS) Data Dashboard is an initiative of the Home and Community Based Services Spending Plan. The initiative's primary goal is to create a public-facing LTSS data dashboard to track demographic, utilization, quality, and cost data related to LTSS services. This dashboard will link statewide long-term care and home and community-based services (HCBS) data with the goal of increased transparency to make it possible for regulators, policymakers, and the public to be informed while the state continues to expand, enhance, and improve the quality of LTSS in all home, community, and congregate settings.
The first iteration of the LTSS Dashboard was released in December 2022 as an Open Data Portal file with 40 measures pertaining to LTSS beneficiaries, which includes ten different demographics, plan-related dimensions, and dual stratification. The December 2023 Data Release includes 16 new measures on the Medi-Cal LTSS Dashboard and Open Data Portal (Select “View Underlying Data”); and additional measures and dimensions, including dual stratification, will be added to the Open Data Portal in 2024.
Note: The LTSS Dashboard measures are based on certified eligible beneficiaries who were enrolled in Medi-Cal for one or more months during the reporting interval. Most of the DHCS LTSS dashboard measures report the annual number of certified eligible Medi-Cal beneficiaries who have used LTSS services within a year. Other departments may report on these programs differently. For example, the Department of Social Services (CDSS) reports monthly IHSS recipient/consumer counts. The California Department of Aging (CDA) reports monthly CBAS Medi-Cal participants. DHCS’ annual utilization / enrollment counts of IHSS and CBAS beneficiaries are larger than CDSS/CDA's monthly counts because of data source differences and new enrollment or program attrition over time. Monthly snap-shot measures (average monthly utilization) for IHSS and CBAS have been added to the LTSS Dashboard to align with CDSS and CDA monthly reporting.
Refer to the LTSS-Dashboard (ca.gov) program page for: 1) a Fact Sheet with highlights from the initial data release including changes over time in use of Home and Community-Based Services as well as select demographic information; 2) the Measure Specifications document – that describes business rules and inclusion/exclusion criteria related to age groups, plan types, aid code, geographic, or other important program/waiver-specific eligibility criteria; and 3) User guide – that shows how to navigate the Open Data Portal data file with specific examples.
This dataset displays demographics for the families and individuals residing in the Department of Homeless Services (DHS) shelter system.
Data presented here comes from the 2016 Census of Canada, Statistics Canada. These datasets are part of the Official-Language Minority Communities Dashboard, an initiative of the Research Team of the Official Languages Branch at Canadian Heritage. Four datasets have been organized based on different population groups and universes and explore selected variables such as age, language, socio-economic and socio-demographic characteristics.
As of 1/19/2022, this dataset is no longer being updated. For more data on COVID-19 in Connecticut, visit data.ct.gov/coronavirus.
This tables shows the percent of people who have received at least one dose of COVID-19 vaccine who live in a Priority SVI Zip Code. About a third of people in CT live in a Priority SVI zip code.
SVI refers to the CDC's Social Vulnerability Index - a measure that combines 15 demographic variables to identify communities most vulnerable to negative health impacts from disasters and public health crises. Measures of social vulnerability include socioeconomic status, household composition, disability, race, ethnicity, language, and transportation limitations - among others. SVI scores were calculated for each zip code in CT. The zip codes in the top 20% were designated as Priority SVI zip codes. Percentages are based on 2018 zip code population data supplied by ESRI corporation.
All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.
The data are presented cumulatively and by week of first dose of vaccine. Percentages are reported for all providers combined and for pharmacies, FQHCs (Federally Qualified Health Centers), local public health departments / districts and hospitals. The table excludes people with a missing or out-of-state zip code and doses administered by the Federal government (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) or out-of-state providers.
Population is the sum of births plus in-migration, and it signifies the total market size possible in the area. This is an important metric for economic developers to measure their economic health and investment attraction. Businesses also use this as a metric for market size when evaluating startup, expansion or relocation decisions.
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Data presented here comes from the 2016 Census of Canada, Statistics Canada. These datasets are part of the Official-Language Minority Communities Dashboard, an initiative of the Research Team of the Official Languages Branch at Canadian Heritage. Four datasets have been organized based on different population groups and universes and explore selected variables such as age, language, socio-economic and socio-demographic characteristics.
Age-sex charts emphasize the gap between the numbers of males and females at a specific age group. It also illustrates the age and gender trends across all age and gender groupings. A chart skewed heavily to the left describes a very young population while a chart skewed heavily to the right illustrates an aging population.
Predicted standardized PHDI, HEI-2015, and DASH value by sociodemographic characteristics, NHANES 2015–2018b'*',†.
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Participant demographic, health, and lifestyle factors (N = 992).
Find Massachusetts health data by community, county, and region, including population demographics. Build custom data reports with over 100 health and social determinants of health data indicators and explore over 28,000 current and historical data layers in the map room.
The data on this dashboard is divided into seven sections: demographics, housing pressures, housing supply, experiences of homelessness, shelter demand and occupancy, housing solutions, and the Centralized Wait List. Data for this dashboard was collected from a number of sources, including administrative data from the City of Ottawa, and publicly available data from Statistics Canada and the Canadian Mortgage and Housing Corporation, among other public data sources.Date Created: June 27th 2025 Update Frequency: Annually Last Reviewed: June 27th 2025Accuracy, Completeness, and Known Issues: The Housing Needs Assessment dashboard relies on data from Statistics Canada (Census), Canada Mortgage and Housing Corporation (CMHC), municipal administrative datasets, and local housing market information. Many data points include disaggregation by various demographic characteristics, including household characteristics, housing core need, the Point-in-Time count of people experiencing homelessness, shelter system capacity and demand sourced from the Homeless Individuals and Families Information System (HIFIS), and the Centralized Wait List. Some data points, such as average rent prices and housing stock amounts cannot be further aggregated using demographic characteristics. More information regarding data quality and methodology can be found within the full Housing Needs Assessment report.Attributes: The following data tables have been provided for the dataset, and are organized into themes.Demographics:Population by Age GroupHouseholdsImmigrant PopulationIncomeHousing Pressures:Housing CostsConsumer Price IndexVacancy RateHousing Supply:Housing DevelopmentHousing StockExperiences of Homelessness:Experiences of HomelessnessShelter Demand and Occupancy:Shelter Demand and CapacityShelter Average Length of StayHousing Solutions:Affordable and Supportive Units BuiltRent-Geared-to-Income and Housing BenefitsCentralized Wait List:Clients on Centralized Wait ListNew Centralized Wait List ApplicationsHoused from Centralized WaitlistData Steward: Liam McGuireData Steward Email: liam.mcguire@ottawa.caDepartment or Agency: Community and Social ServicesBranch/Unit: Housing Data, Research and Analytics Unit
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The National Pregnancy in Diabetes Audit (NPID) is a workstream of the National Diabetes Audit (NDA) and is managed by NHS England under an agreement with the Healthcare Quality Improvement Partnership (HQIP). The NDA is delivered by NHS England, in partnership with Diabetes UK and has been running since 2014. The dashboard measures the quality of antenatal care and pregnancy outcomes for women with pre-gestational diabetes. It is intended to support local, regional and national quality improvement. The latest version of the dashboard reports on data collected for pregnancies that ended between 1 January 2021 and 31 December 2023 and includes data on continuous glucose monitoring (CGM) for the first time. Data are submitted by antenatal services in England and Wales.
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Sociodemographic and 1918–20 influenza pandemic data used in the study.
The median income indicates the income bracket separating the income earners into two halves of equal size.
The household incomes chart shows how many household fall in each of the income brackets specified by Statistics Canada.
This chart shows how many individuals can carry a conversation in English only, in French only, in both English and French, or in neither English nor French.
Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.
The aboriginal populations chart shows the composition of the aboriginal population in a municipality.
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This is a monthly report on publicly funded community services for people of all ages using data from the Community Services Data Set (CSDS) reported in England for November 2022. It has been developed to help achieve better outcomes and provide data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website (linked at the bottom of this page). The csv data file for November 2022 and provisional data file for December 2022 now include organisational level breakdown by Integrated Care Board (ICB). This change occured from October 2022, and is reflected in the Power BI dashboard.