AndreaBozzo/ceres-open-data-index huggingface dataset:
Covid-19 immunisations - ICP Outcomes Framework - Registered Locality

This dataset reports the uptake of at least one dose of the COVID-19 vaccine among patients registered with GP practices in England. It provides a measure of immunisation coverage and supports monitoring of public health efforts to reduce the spread and severity of COVID-19. The data is sourced from Immform, EMIS Health, and TPP systems. ## Rationale Vaccination is a critical tool in controlling the COVID-19 pandemic. Monitoring vaccine uptake helps identify gaps in coverage, inform targeted outreach, and evaluate the effectiveness of immunisation campaigns. This indicator supports efforts to increase vaccine uptake and protect vulnerable populations. ## Numerator The numerator is the number of patients who have received at least one dose of a COVID-19 vaccine. ## Denominator The denominator is the total number of patients registered with GP practices, as recorded in the Immform-EMIS Health and TPP systems. ## Caveats Automated data collection is only possible from GP practices whose IT suppliers support automatic extraction. Some organisations may not have responded or submitted data, which could affect completeness and accuracy. ## External References More information is available from the following source: * [Immform COVID-19 Collections Portal] ## 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.
Births to teenage mothers - ICP Outcomes Framework - Registered Locality

This dataset presents the rate of delivery episodes where the mother is aged under 18 years. It is based on pooled data over five years and includes only those births that occurred in NHS hospitals or similar institutions, excluding deliveries at home, in private hospitals, or other non-standard settings. The indicator provides insight into teenage pregnancy trends and supports public health efforts aimed at reducing early motherhood. ## Rationale Reducing the number of births to teenage mothers is a key public health objective, as early motherhood is often associated with poorer health, educational, and economic outcomes for both mother and child. This indicator helps monitor progress in reducing teenage pregnancies and informs targeted interventions. ## Numerator The numerator includes the total number of maternal episodes where the mother is aged between 12 and 17 years, and the episode type is recorded as a delivery (type '2') or other delivery event (type '5'). Deliveries that occurred at a domestic address, in a private hospital, or in another institution are excluded. Data is sourced from the Secondary Uses Service (Inpatient Data Set). ## Denominator The denominator includes the total number of maternal episodes with a valid maternal age, where the episode type is '2' (delivery) or '5' (other delivery event), and the place of delivery is not a domestic address, private hospital, or other institution. Data is also sourced from the Secondary Uses Service (Inpatient Data Set). ## Caveats Deliveries that occur at home or in private hospitals are not included in this dataset. Additionally, sub-national counts of 8 and above are rounded to the nearest 5 for disclosure control. The data is pooled over five years to ensure statistical robustness. ## External references For more information, visit the [Public Health England Fingertips Profile]. ## 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.
IMD - Indices of Deprivation 2025 - WMCA LSOA (2021)

This dataset presents the latest relative measures of deprivation across England, compiling data for 33,755 LSOAs using the Index of Multiple Deprivation 2025 (IMD25) framework. It includes: * A ranking of neighbourhoods from most to least deprived, enabling comparative analysis rather than absolute measurement. * Seven domain indices (Income; Employment; Education, Skills & Training; Health Deprivation & Disability; Crime; Barriers to Housing & Services; Living Environment) which are weighted and aggregated to form the overall IMD25. * Two supplementary indices: the Income Deprivation Affecting Children Index (IDACI) and the Income Deprivation Affecting Older People Index (IDAOPI) * Summary data for higher-level geographies (Local Authority Districts, Integrated Care Boards, etc) derived from the LSOA data. Geographic unit: Lower-layer Super Output Area (LSOA) – small areas designed by the Office for National Statistics, averaging ~1,500 residents. Number of units: 33,755 LSOAs in England. ## Temporal Reference This is a cross-sectional release representing a “snapshot” of relative deprivation. While previous versions (e.g., IoD2019) exist, changes to methodology, indicators and geographies mean that direct time-series comparisons should be approached with caution. ## Purpose / Use Cases * To identify and compare areas of relative deprivation across England at small-area level. * To support resource allocation, policymaking, service planning, and funding applications by local and national organisations. * To explore the different domains of deprivation and their spatial patterns. ## Caveats & Limitations * The indices measure relative deprivation only. A rank of “1” identifies the most deprived area relative to others, but this does not quantify the absolute extent of deprivation. * The dataset does not identify deprived individuals nor does it measure affluence. * Comparisons over time (especially across versions) are limited because of changes to data sources, indicator definitions, and geography. * The data apply exclusively to England and should not be directly compared with similar indices from Wales, Scotland or Northern Ireland. ## Methodological Summary * Indicators: 55 indicators used in this version (an increase from 39 in IoD2019) including new and revised measures of income benefit claimants, pupil absence, broadband connectivity, energy performance certificates, access to private gardens, noise pollution, and more. * Domain weights: Income 22.5%; Employment 22.5%; Education/Skills 13.5%; Health 13.5%; Crime 9.3%; Barriers to Housing & Services 9.3%; Living Environment 9.3%. * Extensive quality assurance and validation of indicators and inputs has been conducted. [View full release on GOV.UK]
Cancers diagnosed at stage 1 or 2  - ICP Outcomes Framework - Birmingham and Solihull

This dataset reports the percentage of new cancer cases diagnosed at an early stage (stage 1 or 2), providing a critical measure of early detection and timely intervention. It includes a wide range of cancer sites such as breast, lung, prostate, colorectal, and others. Early-stage diagnosis is associated with better treatment outcomes and survival rates, making this indicator a key focus for cancer control strategies. The data supports analysis across various population groups and geographies, including the Birmingham and Solihull (BSol) area. ## Rationale Diagnosing cancer at an early stage significantly improves the chances of successful treatment and long-term survival. This indicator helps monitor progress in early detection efforts and supports initiatives aimed at increasing awareness, screening uptake, and timely access to diagnostic services. ## Numerator The numerator includes cases of cancer diagnosed at stage 1 or 2 for the following cancer sites: oesophagus, stomach, colon, rectum, pancreas, lung, melanoma of skin, breast, cervix, uterus, ovary, prostate, testis, kidney, bladder, Hodgkin lymphoma, thyroid, larynx, oropharynx, oral cavity, and non-Hodgkin lymphoma. Data is sourced from NHS Digital's National Disease Registration Service. ## Denominator The denominator includes all cases of cancer diagnosed at any known stage (1 through 4) for the same set of cancer sites listed above. This data is also sourced from NHS Digital's National Disease Registration Service. ## Caveats The COVID-19 pandemic affected both clinical and data quality processes, reducing the availability of stage data for cancer registrations in 2019 and 2020. Stage completeness dropped from 85% in 2018 to 76% in 2019, before rising to 81% in 2020. Additionally, this indicator is not case-mix adjusted due to the complexity of applying such adjustments across multiple geographic breakdowns and the statistical instability of small area data. ## External references For more information, refer to the [NDRS Case-Mix Adjusted Stage Technical Document]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Births to teenage mothers - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the rate of delivery episodes where the mother is aged under 18 years. It is based on pooled data over five years and includes only those births that occurred in NHS hospitals or similar institutions, excluding deliveries at home, in private hospitals, or other non-standard settings. The indicator provides insight into teenage pregnancy trends and supports public health efforts aimed at reducing early motherhood. ## Rationale Reducing the number of births to teenage mothers is a key public health objective, as early motherhood is often associated with poorer health, educational, and economic outcomes for both mother and child. This indicator helps monitor progress in reducing teenage pregnancies and informs targeted interventions. ## Numerator The numerator includes the total number of maternal episodes where the mother is aged between 12 and 17 years, and the episode type is recorded as a delivery (type '2') or other delivery event (type '5'). Deliveries that occurred at a domestic address, in a private hospital, or in another institution are excluded. Data is sourced from the Secondary Uses Service (Inpatient Data Set). ## Denominator The denominator includes the total number of maternal episodes with a valid maternal age, where the episode type is '2' (delivery) or '5' (other delivery event), and the place of delivery is not a domestic address, private hospital, or other institution. Data is also sourced from the Secondary Uses Service (Inpatient Data Set). ## Caveats Deliveries that occur at home or in private hospitals are not included in this dataset. Additionally, sub-national counts of 8 and above are rounded to the nearest 5 for disclosure control. The data is pooled over five years to ensure statistical robustness. ## External references For more information, visit the [Public Health England Fingertips Profile]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Emergency admissions for COPD (over 35yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the age-standardised rate of emergency hospital admissions for Chronic Obstructive Pulmonary Disease (COPD) in adults aged 35 and over. It provides a key measure of the burden of acute respiratory illness and supports the evaluation of COPD management and prevention strategies across local populations. ## Rationale Reducing emergency admissions for COPD is a public health priority. High admission rates may reflect poor disease control, environmental exposures, smoking prevalence, or gaps in access to primary and preventative care. Monitoring this indicator helps inform targeted interventions to improve respiratory health and reduce avoidable hospitalisations. ## Numerator The numerator is the number of emergency hospital admissions for individuals aged 35 and over with a primary diagnosis of COPD, identified using ICD-10 codes J40 to J44. Data are sourced from the Secondary Uses Service (SUS). ## Denominator The denominator is the resident population aged 35 and over, based on the 2021 Census. ## Caveats NHS Digital has identified a data quality issue affecting Hospital Episode Statistics (HES) data for Nottingham University Hospitals Trust during the 2016/17 financial year. Over 30% of records from this trust lacked valid geographic information, and as a result, Public Health England (PHE) has not published a value for this trust. ## External References [Fingertips Public Health Profiles – COPD Admissions (35+)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Emergency admissions for COPD (over 35yrs) - ICP Outcomes Framework - Resident Locality

This dataset presents the age-standardised rate of emergency hospital admissions for Chronic Obstructive Pulmonary Disease (COPD) in adults aged 35 and over. It provides a key measure of the burden of acute respiratory illness and supports the evaluation of COPD management and prevention strategies across local populations. ## Rationale Reducing emergency admissions for COPD is a public health priority. High admission rates may reflect poor disease control, environmental exposures, smoking prevalence, or gaps in access to primary and preventative care. Monitoring this indicator helps inform targeted interventions to improve respiratory health and reduce avoidable hospitalisations. ## Numerator The numerator is the number of emergency hospital admissions for individuals aged 35 and over with a primary diagnosis of COPD, identified using ICD-10 codes J40 to J44. Data are sourced from the Secondary Uses Service (SUS). ## Denominator The denominator is the resident population aged 35 and over, based on the 2021 Census. ## Caveats NHS Digital has identified a data quality issue affecting Hospital Episode Statistics (HES) data for Nottingham University Hospitals Trust during the 2016/17 financial year. Over 30% of records from this trust lacked valid geographic information, and as a result, Public Health England (PHE) has not published a value for this trust. ## External References [Fingertips Public Health Profiles – COPD Admissions (35+)] ## 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.
Emergency admissions for COPD (over 35yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the age-standardised rate of emergency hospital admissions for Chronic Obstructive Pulmonary Disease (COPD) in adults aged 35 and over. It provides a key measure of the burden of acute respiratory illness and supports the evaluation of COPD management and prevention strategies across local populations. ## Rationale Reducing emergency admissions for COPD is a public health priority. High admission rates may reflect poor disease control, environmental exposures, smoking prevalence, or gaps in access to primary and preventative care. Monitoring this indicator helps inform targeted interventions to improve respiratory health and reduce avoidable hospitalisations. ## Numerator The numerator is the number of emergency hospital admissions for individuals aged 35 and over with a primary diagnosis of COPD, identified using ICD-10 codes J40 to J44. Data are sourced from the Secondary Uses Service (SUS). ## Denominator The denominator is the resident population aged 35 and over, based on the 2021 Census. ## Caveats NHS Digital has identified a data quality issue affecting Hospital Episode Statistics (HES) data for Nottingham University Hospitals Trust during the 2016/17 financial year. Over 30% of records from this trust lacked valid geographic information, and as a result, Public Health England (PHE) has not published a value for this trust. ## External References [Fingertips Public Health Profiles – COPD Admissions (35+)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Emergency admissions for myocardial infarction - ICP Outcomes Framework - Birmingham and Solihull

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] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Boundaries - Local Authorities (2025) - England

This file contains the digital vector boundaries for the local authority districts in England as of May 2025. The boundaries available are: Generalised Clipped (BGC) - Generalised to 20m and clipped to the coastline (Mean High Water mark) and more generalised than the BFE boundaries. Contains both Ordnance Survey and ONS Intellectual Property Rights. ## TopoJSON Shapefile for Power BI On the Export tab you will find a file under the Alternative exports. This file is in TopoJSON format and is ready for use in compatible visualisation tools such as Power BI or Mapbox.
Emergency admissions for myocardial infarction - ICP Outcomes Framework - Birmingham and Solihull Wards

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