AndreaBozzo/ceres-open-data-index huggingface dataset:
Emergency admissions for stroke - ICP Outcomes Framework - Resident Locality

This dataset presents the age-standardised rate of emergency hospital admissions for stroke. It provides a key measure of the burden of acute cerebrovascular events requiring urgent medical care and supports the evaluation of stroke prevention and early intervention strategies across local populations. ## Rationale Reducing emergency admissions for stroke is a critical public health objective. High admission rates may indicate gaps in the management of risk factors such as hypertension, atrial fibrillation, and diabetes, or delays in accessing preventative care. Monitoring this indicator helps inform targeted interventions and resource planning to reduce avoidable strokes and improve outcomes. ## Numerator The numerator is the number of emergency hospital admissions where the primary diagnosis is stroke, identified using ICD-10 codes I61, I62, I63, and I64. 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, and as a result, Public Health England (PHE) has not published a value for this trust. Additionally, some values have not been published due to disclosure control. ## External References [Fingertips Public Health Profiles – Stroke Admissions] ## Localities Explained This 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.
Travel to work on foot (Percentage of pop. aged 16-74) - Birmingham Wards

This is the proportion of residents that travel to work on foot. This dataset provides estimates that classify usual residents aged 16 to 74 by the method of travel used for the longest part, by distance, of the usual journey to work. This topic is only applicable to people who were in employment in the week before the census and estimates are as at census day. Travel to work estimates from the 2001 Census, for example in UV39, are not compatible with this estimates in this dataset because of the differences in the way that people who indicated that they work from home but also have a method of travel to work have been handled. Estimates that are compatible with 2001 are available in dataset CT0015. Information on travel to work informs both national and local transport services and policies. It provides a basis for transport planning, for example, whether new bus routes or changes to existing bus routes are needed. Statistical Disclosure Control: In order to protect against disclosure of personal information from the Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Food Hygiene Ratings

In the UK, food hygiene ratings are an important indicator of the cleanliness and safety standards of food establishments. Managed by the Food Standards Agency (FSA) in partnership with local authorities, the Food Hygiene Rating Scheme (FHRS) is designed to help the public make informed choices about where they eat out or buy food. The ratings range from 0 to 5, with 5 indicating that the business has "very good" hygiene standards, while 0 suggests that urgent improvements are necessary. These ratings are based on several criteria, including how food is handled, the cleanliness of the facilities, and how food safety is managed. The food hygiene rating is not a guide on food quality. Inspections are carried out by environmental health officers who assess three key areas (lower scores in these areas are better): 1. Hygiene: This covers how food is prepared, cooked, and stored. 2. Structural: This includes cleanliness, layout, and ventilation. 3. Confidence in Management: This evaluates how well businesses identify and manage food safety risks. While food businesses are encouraged to display their hygiene ratings publicly, it is not mandatory in England.
Five year survival from all cancers - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents information on five-year survival rates from all cancers, focusing on individuals diagnosed with invasive cancers (ICD-10 codes C00 to C97, excluding non-melanoma skin cancer C44). It provides a simplified local methodology for calculating survival outcomes, enabling analysis by ethnicity, deprivation, and within the Birmingham and Solihull (BSol) geography. While it does not replicate the national calculation, it offers valuable insights into cancer survival trends at a more granular level. ## Rationale The primary aim of this indicator is to increase five-year survival rates from all cancers. Monitoring survival over a five-year period provides a meaningful measure of cancer outcomes and the effectiveness of early diagnosis and treatment interventions. ## Numerator The numerator includes individuals who were diagnosed with a specific type of cancer and subsequently died from the same type of cancer within five years of diagnosis. Only invasive cancers (ICD-10 codes C00 to C97, excluding C44) are included. ## Denominator The denominator comprises all individuals diagnosed with an invasive cancer (ICD-10 codes C00 to C97, excluding C44) within a five-year period. ## Caveats This dataset uses a simplified methodology that does not replicate the national calculation. As a result, the values reported here may differ from nationally published figures. However, this approach allows for the inclusion of breakdowns by ethnicity, deprivation, and local geography (BSol), which are not always available in national statistics. ## External References For more information, refer to the [National Cancer Registration and Analysis Service (NCRAS)]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Travel to work by bicycle (Percentage of pop. aged 16-74) - Birmingham Wards

This is the proportion of residents that travel to work by bicycle. This dataset provides estimates that classify usual residents aged 16 to 74 by the method of travel used for the longest part, by distance, of the usual journey to work. This topic is only applicable to people who were in employment in the week before the census and estimates are as at census day. Travel to work estimates from the 2001 Census, for example in UV39, are not compatible with this estimates in this dataset because of the differences in the way that people who indicated that they work from home but also have a method of travel to work have been handled. Estimates that are compatible with 2001 are available in dataset CT0015. Information on travel to work informs both national and local transport services and policies. It provides a basis for transport planning, for example, whether new bus routes or changes to existing bus routes are needed. Statistical Disclosure Control: In order to protect against disclosure of personal information from the Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Child mortality rate - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the age-standardised mortality rate among children aged 1 to 17 years. It captures the number of deaths from all causes within this age group, registered during calendar years, and expresses the rate per 100,000 population. The data is age-standardised to allow for fair comparisons across different populations and time periods, accounting for variations in age structure. ## Rationale Reducing child mortality is a key public health priority. Monitoring mortality rates among children aged 1 to 17 years provides critical insight into the overall health and wellbeing of this population group, and helps identify areas where interventions may be needed to improve outcomes and reduce preventable deaths. ## Numerator The numerator is defined as the number of deaths from all causes among children aged 1 to 17 years, registered in the calendar year. This data is sourced from the Death Register. ## Denominator The denominator is the mid-year population estimate for children aged 1 to 17 years, based on single year of age and sex for local authorities in England and Wales. These estimates are derived from the 2021 Census. ## Caveats There are no specific caveats noted for this dataset. However, users should consider potential limitations related to registration delays or changes in population estimates over time. ## External References Further information and related indicators can be found on the [Fingertips Public Health Profiles] website. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Child mortality rate - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the age-standardised mortality rate among children aged 1 to 17 years. It captures the number of deaths from all causes within this age group, registered during calendar years, and expresses the rate per 100,000 population. The data is age-standardised to allow for fair comparisons across different populations and time periods, accounting for variations in age structure. ## Rationale Reducing child mortality is a key public health priority. Monitoring mortality rates among children aged 1 to 17 years provides critical insight into the overall health and wellbeing of this population group, and helps identify areas where interventions may be needed to improve outcomes and reduce preventable deaths. ## Numerator The numerator is defined as the number of deaths from all causes among children aged 1 to 17 years, registered in the calendar year. This data is sourced from the Death Register. ## Denominator The denominator is the mid-year population estimate for children aged 1 to 17 years, based on single year of age and sex for local authorities in England and Wales. These estimates are derived from the 2021 Census. ## Caveats There are no specific caveats noted for this dataset. However, users should consider potential limitations related to registration delays or changes in population estimates over time. ## External References Further information and related indicators can be found on the [Fingertips Public Health Profiles] website. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Children in care with up-to-date immunisations  - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of children in care for at least 12 months who are up to date with their immunisations, according to the NHS vaccination schedule. It provides a measure of how well the healthcare needs of looked-after children are being met, particularly in relation to routine immunisation coverage. The data is collected annually and reflects the situation as of 31st March each year. ## Rationale Children in care are a particularly vulnerable group and ensuring they receive timely immunisations is critical to protecting their health and wellbeing. Monitoring immunisation coverage among this group helps identify gaps in care and supports efforts to improve health outcomes through targeted public health interventions. Increasing the percentage of children in care who are fully immunised is a key indicator of effective health and social care integration. ## Numerator The numerator is the number of looked-after children at 31st March who are up to date with the vaccinations recommended in the NHS immunisation schedule. This data is sourced from the Department for Education (DfE) through the annual statistics on looked-after children. ## Denominator The denominator is the total number of children who have been looked after continuously for at least 12 months as of 31st March. This is also derived from the DfE’s looked-after children dataset. ## Caveats No specific caveats were noted in the source metadata. However, data quality may be influenced by local authority reporting practices and the completeness of health records for children in care. ## External References [Department for Education – Looked-after Children Statistics] [DfE Indicator Guide (PDF)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Census 2021 Overcrowding (Bedrooms) - Constituencies

This metric provides a measure of whether a household's accommodation is overcrowded or under occupied, by age, for Birmingham. This occupancy rating is calculated by comparing the number of bedrooms the household requires to the number of available bedrooms. An occupancy rating of -1 implies that a household has one fewer bedroom than required, whereas +1 implies that they have one more bedroom than the standard requirement. Coverage This dataset is focused on the data for Birmingham at 2021 constituency level. About the 2021 Census The Census takes place every 10 years and gives us a picture of all the people and households in England and Wales. Protecting personal data The ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they: * Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. * Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation. For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS [Create a custom dataset tool].
Diabetes: QOF prevalence - Birmingham Wards

The percentage of patients aged 17 or over with diabetes mellitus, as recorded on practice disease registers. ## Note on ward level data This data is GP practice level data taken from Fingertips and converted to wards using our [Fingertips GP to Ward Lookup Matrix for Birmingham and Solihull dataset]. This dataset uses the GP census to allocate an approximate percentage of their patients to each ward based on the citizens home address. ## Rationale Diabetes mellitus is one of the common endocrine diseases affecting all age groups, with over three million people in the UK having the condition. Effective control and monitoring can reduce mortality and morbidity. Much of the management and monitoring of diabetic patients, particularly patients with Type 2 diabetes, is undertaken by the GP and members of the primary care team. ## Definition of numerator Patients aged 17+ years with diabetes mellitus. ## Definition of denominator Total number of patients aged 17+ years registered with the practice. ## Caveats None
Provider Selection Regime Annual Summary 2025

The Provider Selection Regime (PSR) came into force on 1 January 2024. It sets out the approach that NHS bodies and local authorities, including Birmingham City Council, must follow when arranging healthcare services. The PSR replaces previous procurement rules for these services. Its aim is to make the commissioning process more flexible, proportionate, and responsive to local needs, while ensuring that decisions are transparent and accountable. ## The Regime provides a focus on the importance of: * Quality of services * Continuity of care for service users * Collaboration and integration between providers * Reducing health inequalities and improving access * Social value and community benefit ## How Providers are Selected Under the PSR, authorities can choose providers using one of five processes: 1. Direct award A: Existing provider is the only capable provider 2. Direct award B: People have a choice of providers, and the number of providers is not restricted by the authority. 3. Direct award C: The existing provider is satisfying the existing contract and will likely satisfy the proposed new contract which is not changing considerably. 4. Most suitable provider process: The authority makes a judgement on which provider is most suitable based on consideration of the key criteria; and awards without competitive tender. 5. Competitive process: Where the authority cannot use any of the other processes or wishes to run a competitive exercise. ## Transparency and accountability Although the PSR allows greater flexibility, it also requires openness. Birmingham City Council publishes: * Transparency notices explaining decisions such as direct awards. * Contract award notices confirming which providers have been appointed. These notices are available via the UK Government’s Central Digital Platform (CDP), ensuring that the public and stakeholders can see how decisions are made. ## Annual summary In line with Regulation 25 of the Health Care Services (Provider Selection Regime) Regulations 2023, Birmingham City Council publishes an annual summary of contracting activity carried out under the PSR. This summary relates to the period of 1st January 2025 to 31st March 2025
Atrial fibrillation prevalence - ICP Outcomes Framework - Birmingham and Solihull

This dataset provides insights into the prevalence of atrial fibrillation (AF) among patients registered with GP practices in England. It captures the proportion of individuals diagnosed with AF, based on entries in the Quality and Outcomes Framework (QOF) disease registers maintained by NHS Digital. The data is presented as a percentage of the total practice list size and is intended to support cardiovascular health monitoring and service planning. ## Rationale Atrial fibrillation is a common cardiac arrhythmia associated with increased risk of stroke and other cardiovascular complications. Monitoring its prevalence helps identify population health trends and supports efforts to reduce the burden of AF through early detection, effective management, and prevention strategies. ## Numerator The numerator is the number of patients diagnosed with atrial fibrillation, as recorded on their GP practice's disease register. This data is sourced from the Quality and Outcomes Framework (QOF), managed by NHS Digital. ## Denominator The denominator is the total number of patients registered at the GP practice (total practice list size), also sourced from the QOF dataset provided by NHS Digital. ## Caveats No specific caveats were noted in the source metadata. However, the accuracy of prevalence estimates may be influenced by variations in clinical coding practices and diagnostic criteria across GP practices. ## External References [Public Health England - Fingertips Tool] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Atrial fibrillation prevalence - ICP Outcomes Framework - Registered Locality

This dataset provides insights into the prevalence of atrial fibrillation (AF) among patients registered with GP practices in England. It captures the proportion of individuals diagnosed with AF, based on entries in the Quality and Outcomes Framework (QOF) disease registers maintained by NHS Digital. The data is presented as a percentage of the total practice list size and is intended to support cardiovascular health monitoring and service planning. ## Rationale Atrial fibrillation is a common cardiac arrhythmia associated with increased risk of stroke and other cardiovascular complications. Monitoring its prevalence helps identify population health trends and supports efforts to reduce the burden of AF through early detection, effective management, and prevention strategies. ## Numerator The numerator is the number of patients diagnosed with atrial fibrillation, as recorded on their GP practice's disease register. This data is sourced from the Quality and Outcomes Framework (QOF), managed by NHS Digital. ## Denominator The denominator is the total number of patients registered at the GP practice (total practice list size), also sourced from the QOF dataset provided by NHS Digital. ## Caveats No specific caveats were noted in the source metadata. However, the accuracy of prevalence estimates may be influenced by variations in clinical coding practices and diagnostic criteria across GP practices. ## External References [Public Health England - Fingertips Tool] ## Localities Explained This 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.