AndreaBozzo/ceres-open-data-index huggingface dataset:
Census 2021 Passports Held - Birmingham Wards

All passports classifies a person according to the passport or passports they held at the time of the census. This included expired passports or travel documents people were entitled to renew. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport. ## Coverage This dataset is focused on the data for Birmingham at Ward level. Also available at [LSOA], [MSOA] and [Constituency] levels. ## 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]. ## Population value The value column represents All usual residents. The percentage shown is the value as a percentage of All usual residents within the given geography.
Census 2021 Second Address Indicator - Birmingham Wards

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their use of a second address, and whether the second address is inside or outside the UK. The estimates are as at Census Day, 21 March 2021. An address (in or out of the UK) a person stays at for more than 30 days per year that is not their place of usual residence. Second addresses typically include: * armed forces bases * addresses used by people working away from home * a student's home address * the address of another parent or guardian * a holiday home If a person with a second address was staying there on census night, they were classed as a visitor to the second address but counted as a usual resident at their home address. ## Coverage This dataset is focused on the data for Birmingham at Ward level. Also available at [LSOA], [MSOA] and [Constituency] levels. ## 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]. ## Population value The value column represents All usual residents. The percentage shown is the value as a percentage of All usual residents within the given geography.
Census 2021 Length of Residence in the UK - Birmingham Wards

The length of residence in the UK is derived from the date that a person most recently arrived to live in the UK. It does not include returning from a holiday or short stay outside the UK. ## Coverage This dataset is focused on the data for Birmingham at Ward level. Also available at [LSOA], [MSOA] and [Constituency] levels. ## 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]. ## Population value The value column represents All usual residents. The percentage shown is the value as a percentage of All usual residents within the given geography.
Corporate Performance

The Corporate Performance and Delivery Plan was approved by Cabinet in November 2022 as a framework for reporting performance and delivery against the Corporate Plan 2022-2026 ambitions. The Plan includes a relevant set of KPIs that, together with delivery activity milestones, enables monitoring and performance reporting against the Corporate Plan themes (A Prosperous, Inclusive, Safe, Healthy, Green Birmingham, and a Best-in-Class Council.). In so doing the Corporate Plan is placed front and centre of our performance reporting, providing assurance that the organisation is delivering its priorities. ## Viewing and downloading This dataset contains unstructured files such as documents, PDF's and images. To view and download the files click on the Table tab at the top and select the desired file in the File name column. You may use the filters to further refine your selection. ℹ️ Note The Export and API will only download the table of contents.
Five year survival from all cancers - ICP Outcomes Framework - Registered Locality

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)]. ## 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.
Healthy life expectancy (female) at 65yrs - ICP Outcomes Framework - Registered Locality

This dataset presents the average number of years a woman aged 65 can expect to live in good health, known as healthy life expectancy (HLE). It is a key measure of quality of life in later years and reflects both longevity and the prevalence of good health among older women. ## Rationale Increasing healthy life expectancy at age 65 for females is a major public health goal. It highlights the importance of not only living longer but also maintaining good health and independence in later life. This indicator supports the planning of health and social care services and helps assess the impact of health inequalities and lifestyle factors on aging populations. ## Numerator The numerator is derived from the number of deaths registered in the respective calendar years and the weighted prevalence of individuals reporting good or very good health, as captured by the Annual Population Survey (APS). Data are provided by the Office for National Statistics (ONS). ## Denominator The denominator is based on population estimates from the 2021 Census and the APS sample, weighted to reflect local authority population totals. These data are also provided by the ONS. ## Caveats Healthy life expectancy figures exclude residents of communal establishments, except for NHS housing and students in halls of residence who are included based on their parents' address. This may affect comparability in areas with large institutional populations. ## External References [Fingertips Public Health Profiles – Healthy Life Expectancy (Female)] ## 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.
Healthy life expectancy (female) at 65yrs - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the average number of years a woman aged 65 can expect to live in good health, known as healthy life expectancy (HLE). It is a key measure of quality of life in later years and reflects both longevity and the prevalence of good health among older women. ## Rationale Increasing healthy life expectancy at age 65 for females is a major public health goal. It highlights the importance of not only living longer but also maintaining good health and independence in later life. This indicator supports the planning of health and social care services and helps assess the impact of health inequalities and lifestyle factors on aging populations. ## Numerator The numerator is derived from the number of deaths registered in the respective calendar years and the weighted prevalence of individuals reporting good or very good health, as captured by the Annual Population Survey (APS). Data are provided by the Office for National Statistics (ONS). ## Denominator The denominator is based on population estimates from the 2021 Census and the APS sample, weighted to reflect local authority population totals. These data are also provided by the ONS. ## Caveats Healthy life expectancy figures exclude residents of communal establishments, except for NHS housing and students in halls of residence who are included based on their parents' address. This may affect comparability in areas with large institutional populations. ## External References [Fingertips Public Health Profiles – Healthy Life Expectancy (Female)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Healthy life expectancy (male) at 65yrs- ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the average number of years a man aged 65 can expect to live in good health, known as healthy life expectancy (HLE). It is a key measure of quality of life in later years and reflects both longevity and the prevalence of good health among older men. ## Rationale Increasing healthy life expectancy at age 65 for males is a major public health objective. It highlights the importance of not only living longer but also maintaining good health and independence in later life. This indicator supports the planning of health and social care services and helps assess the impact of health inequalities and lifestyle factors on aging populations. ## Numerator The numerator is derived from the number of deaths registered in the respective calendar years and the weighted prevalence of individuals reporting good or very good health, as captured by the Annual Population Survey (APS). Data are provided by the Office for National Statistics (ONS). ## Denominator The denominator is based on population estimates from the 2021 Census and the APS sample, weighted to reflect local authority population totals. These data are also provided by the ONS. ## Caveats Healthy life expectancy figures exclude residents of communal establishments, except for NHS housing and students in halls of residence who are included based on their parents' address. This may affect comparability in areas with large institutional populations. ## External References [Fingertips Public Health Profiles – Healthy Life Expectancy (Male)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Healthy life expectancy (male) at 65yrs - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the average number of years a man aged 65 can expect to live in good health, known as healthy life expectancy (HLE). It is a key measure of quality of life in later years and reflects both longevity and the prevalence of good health among older men. ## Rationale Increasing healthy life expectancy at age 65 for males is a major public health objective. It highlights the importance of not only living longer but also maintaining good health and independence in later life. This indicator supports the planning of health and social care services and helps assess the impact of health inequalities and lifestyle factors on aging populations. ## Numerator The numerator is derived from the number of deaths registered in the respective calendar years and the weighted prevalence of individuals reporting good or very good health, as captured by the Annual Population Survey (APS). Data are provided by the Office for National Statistics (ONS). ## Denominator The denominator is based on population estimates from the 2021 Census and the APS sample, weighted to reflect local authority population totals. These data are also provided by the ONS. ## Caveats Healthy life expectancy figures exclude residents of communal establishments, except for NHS housing and students in halls of residence who are included based on their parents' address. This may affect comparability in areas with large institutional populations. ## External References [Fingertips Public Health Profiles – Healthy Life Expectancy (Male)] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Healthy life expectancy (male) at 65yrs - ICP Outcomes Framework - Registered Locality

This dataset presents the average number of years a man aged 65 can expect to live in good health, known as healthy life expectancy (HLE). It is a key measure of quality of life in later years and reflects both longevity and the prevalence of good health among older men. ## Rationale Increasing healthy life expectancy at age 65 for males is a major public health objective. It highlights the importance of not only living longer but also maintaining good health and independence in later life. This indicator supports the planning of health and social care services and helps assess the impact of health inequalities and lifestyle factors on aging populations. ## Numerator The numerator is derived from the number of deaths registered in the respective calendar years and the weighted prevalence of individuals reporting good or very good health, as captured by the Annual Population Survey (APS). Data are provided by the Office for National Statistics (ONS). ## Denominator The denominator is based on population estimates from the 2021 Census and the APS sample, weighted to reflect local authority population totals. These data are also provided by the ONS. ## Caveats Healthy life expectancy figures exclude residents of communal establishments, except for NHS housing and students in halls of residence who are included based on their parents' address. This may affect comparability in areas with large institutional populations. ## External References [Fingertips Public Health Profiles – Healthy Life Expectancy (Male)] ## 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.
Heart Failure prevalence - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the prevalence of heart failure among patients registered with GP practices in England. It reflects the proportion of individuals diagnosed with heart failure as recorded in the Quality and Outcomes Framework (QOF), a system used by NHS Digital to monitor the quality of care provided by general practices. The data is expressed as a percentage of the total practice list size and is intended to support monitoring and improvement of cardiovascular health outcomes. ## Rationale Heart failure is a significant public health concern, contributing to high levels of morbidity and healthcare utilization. Monitoring its prevalence at the practice level helps identify areas with higher disease burden and supports targeted interventions. Reducing the prevalence of heart failure is a key objective in improving population health and reducing avoidable hospital admissions. ## Numerator The numerator is defined as the number of patients diagnosed with heart failure, as recorded on their GP practice's disease register. This information is sourced from the Quality and Outcomes Framework (QOF), maintained by NHS Digital. ## Denominator The denominator is the total number of patients registered at the GP practice (the total practice list size). This is also sourced from the QOF dataset provided by NHS Digital. ## Caveats No specific caveats were noted in the source metadata. However, it is important to consider that the accuracy of prevalence data depends on the completeness and consistency of clinical coding practices 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.