The 2017 Health Profiles have been published.

The Health Profiles provide a snapshot of health and wellbeing for each local authority in England using a range of charts and text. They pull together existing information in one place and contain data on a range of indicators for local populations.

Health Profiles are intended as ‘conversation starters’ to highlight local issues and priorities for members, and for discussion at Health and Wellbeing Boards.

To find your local 2017 Health Profile:

• visit the http://fingertips.phe.org.uk/profile/health-profiles">Health Profiles introduction webpage
• insert a postcode, town or local authority in the ‘Find your Health Profile’ search box, located in the top left of the http://fingertips.phe.org.uk/profile/health-profiles">Health Profiles introduction webpage

Data for all indicators in the 2017 Health Profiles have been previously published in the Health Profiles online tool and are also available:

View the http://fingertips.phe.org.uk/profile/health-profiles">Health Profiles online tool.

The online Health Profiles data has been updated for August 2017.

The online Health Profiles are updated quarterly at the same time as the Public Health Outcomes Framework (PHOF).

The data are presented in an interactive tool that allows users to view them in a user-friendly format. The profiles provide a snapshot overview of health for each local authority in England. These profiles are intended to help local government and health services make plans to improve local people’s health and reduce health inequalities.

This quarterly update contains one new indicator showing the estimated dementia diagnosis rate for people aged 65 and over. We added this indicator following consultation with users and it also appears in PHOF.

http://fingertips.phe.org.uk/profile/health-profiles">View the online Health Profiles.

The 2017 National Survey of Substance Abuse Treatment Services (N-SSATS) is an annual survey of facilities providing substance abuse treatment. The N-SSATS, conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA), is designed to collect data on the location, characteristics, services offered, and number of clients in treatment at alcohol and drug abuse facilities (both public and private) throughout the 50 states, the District of Columbia, and other U.S. jurisdictions.

This dataset tracks annual total students amount from 2017 to 2023 for Lincoln West School Of Science & Health

These state profiles include data from facilities that reported to N-MHSS for the survey reference date April 30, 2017. The N-MHSS collects data on the location, characteristics, services offered, and number of clients (collected every other year) in treatment at mental health treatment facilities (public and private) throughout the 50 states, the District of Columbia, U.S. territories, and other jurisdictions.

This dataset tracks annual overall school rank from 2017 to 2023 for Lincoln West School Of Science & Health

This dataset tracks annual white student percentage from 2017 to 2023 for Lincoln West School Of Science & Health vs. Ohio and Cleveland Municipal School District

This dataset tracks annual diversity score from 2017 to 2023 for Lincoln West School Of Science & Health vs. Ohio and Cleveland Municipal School District

The young people profiles bring together a range of indicators on the health of young people by local area.

Developed by PHE’s National Child and Maternal Health Intelligence Network, the indicators provide information on public health outcomes for young people, up to 24 years.

The https://fingertips.phe.org.uk/profile-group/child-health/profile/child-health-young-people">young people profiles are designed to give commissioners and providers a context to help them prioritise action for young people.

Historical Dataset of Lincoln West School Of Science & Health is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2017-2023),Total Classroom Teachers Trends Over Years (2017-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2017-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2017-2023),Black Student Percentage Comparison Over Years (2017-2023),White Student Percentage Comparison Over Years (2017-2023),Two or More Races Student Percentage Comparison Over Years (2017-2023),Diversity Score Comparison Over Years (2017-2023),Reading and Language Arts Proficiency Comparison Over Years (2017-2022),Math Proficiency Comparison Over Years (2017-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2017-2023),Graduation Rate Comparison Over Years (2019-2023)

Descriptive summary of studies included in systematic review and meta-analysis of CBHI enrolment and its determinants in Ethiopia, 2017–2022.

This dataset tracks annual black student percentage from 2017 to 2023 for Lincoln West School Of Science & Health vs. Ohio and Cleveland Municipal School District

Marginal effects and odd ratios relating to 2017 healthcare utilization of 2016 HealthSCOPES segmented residents.

This dataset tracks annual hispanic student percentage from 2017 to 2023 for Lincoln West School Of Science & Health vs. Ohio and Cleveland Municipal School District

The Office of Advocacy’s Small Business Profiles are an annual analysis of each state’s small business activities. Each profile gathers the latest information from key federal data-gathering agencies to provide a snapshot of small business health and economic activity. This year’s profiles report on state economic growth and employment; small business employment, industry composition, and turnover; plus business owner demographics and county-level employment change.

This dataset tracks annual student-teacher ratio from 2017 to 2023 for Lincoln West School Of Science & Health vs. Ohio and Cleveland Municipal School District

This dataset presents the age-standardised rate of emergency hospital admissions for coronary heart disease (CHD) across England. It provides insight into the burden of acute cardiovascular events requiring urgent care, helping to inform public health strategies and healthcare planning. The indicator focuses on unplanned hospital admissions where CHD is the primary diagnosis, offering a measure of both disease prevalence and healthcare system responsiveness.

Rationale Reducing emergency admissions for coronary heart disease is a key public health objective. High rates of emergency admissions may indicate poor disease management in the community or delayed access to preventative care. Monitoring this indicator supports efforts to improve cardiovascular health outcomes and reduce strain on emergency services.

Numerator The numerator is the count of emergency hospital admissions where the primary diagnosis is coronary heart disease, identified using ICD-10 codes I20 to I25. Admissions are included if they meet specific criteria: admission method codes ('21', '22', '23', '24', '25', '28', '2A', '2B', '2C', '2D'), patient classification as 'ordinary' (1 or 2), episode status equal to 3, and episode order equal to 1. These values are derived from Secondary Uses Service (SUS) data.

Denominator The denominator is the expected number of admissions, calculated by applying England's age-specific rates to the local registered population. Population estimates are based on Census 2021 data.

Caveats There are known data quality issues affecting Hospital Episode Statistics (HES) data for Nottingham University Hospitals Trust during the 2016–2017 financial year. Over 30% of records lacked valid geographic information, and as a result, Public Health England (PHE) has not published a value for this trust. Additionally, due to disclosure control, some values have not been published.

External References Fingertips Public Health Profiles – Coronary Heart Disease Indicator

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

All data collected from public databases, mostly government databases or government public surveys. All data are proportioned according to the relevant age group. *Crime data, 2000-2019 average *GDP data, 2020 *Drug, alcohol and mental health data, 2018 *Gun data, 2020 *Population data, 2018

For my vizs:https://public.tableau.com/app/profile/enver2358

Source; *https://corgis-edu.github.io/corgis/csv/state_crime/ *https://www.openicpsr.org/openicpsr/project/105583/version/V5/view *https://www.rand.org/pubs/tools/TL354.html *https://www.samhsa.gov/data/report/2017-2018-nsduh-estimated-totals-state *bigquery-public-data.census_bureau_acs.state_2018_5yr *https://crime-data-explorer.app.cloud.gov/pages/explorer/crime/arrest *https://apps.bea.gov/regional/downloadzip.cfm

This dataset presents the age-standardised rate of emergency hospital admissions for myocardial infarction (MI), commonly known as heart attacks. It provides a measure of the acute burden of cardiovascular disease and helps assess the effectiveness of preventative care and early intervention strategies in reducing severe cardiac events.

Rationale Reducing emergency admissions for myocardial infarction is a key objective in cardiovascular health improvement. High admission rates may reflect poor management of risk factors such as hypertension, smoking, and high cholesterol, or delays in accessing timely care. Monitoring this indicator supports targeted interventions and resource planning to reduce avoidable cardiac emergencies.

Numerator The numerator includes emergency hospital admissions where the primary diagnosis is myocardial infarction, identified using ICD-10 codes I21 and I22. Admissions are included if they meet specific criteria: admission method codes ('21', '22', '23', '24', '25', '28', '2A', '2B', '2C', '2D') and patient classification as 'ordinary' (1 or 2). Data are sourced from the Secondary Uses Service (SUS).

Denominator The denominator is the expected number of admissions, calculated by applying England’s age-specific rates to the local registered population. Population estimates are based on the 2021 Census. Due to disclosure control, some values have not been published.

Caveats NHS Digital has identified a data quality issue affecting Hospital Episode Statistics (HES) data for Nottingham University Hospitals Trust during the 2016–2017 financial year. Over 30% of records lacked valid geographic information, which may affect data completeness. Additionally, some values have not been published due to disclosure control.

External References Fingertips Public Health Profiles – Myocardial Infarction Admissions

Localities ExplainedThis dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations:Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs).Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities.This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address.

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.