AndreaBozzo/ceres-open-data-index huggingface dataset:
Cervical screening (25 to 49 yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of eligible women aged 25 to 49 who have had an adequate cervical screening test recorded within the previous 42 months (3.5 years). Cervical screening — commonly known as a smear test — helps detect abnormal cell changes in the cervix before they have the chance to develop into cancer. Monitoring coverage at a local and practice level is essential for identifying where uptake is lower than expected and where outreach and engagement efforts can make the greatest difference to women's health outcomes. ## Rationale Cervical cancer is largely preventable through regular screening, and the NHS Cervical Screening Programme plays a critical role in reducing both incidence and mortality. Women aged 25 to 49 are invited for screening every three years, making the 42-month (3.5-year) window the appropriate measure of up-to-date coverage for this age group. Increasing cervical screening uptake is a public health priority, particularly in areas with high deprivation, diverse communities, or where historic barriers to access — including health literacy, cultural factors, or previous negative experiences — may be reducing participation. ## Numerator The numerator is the number of eligible women aged 25 to 49, registered at the practice on the last day of the review period, who had an adequate cervical screening test recorded in the previous 42 months, sourced from the NHS England Cervical Screening Programme. ## Denominator The denominator is the total number of eligible women aged 25 to 49 registered at the practice on the last day of the review period, also sourced from the NHS England Cervical Screening Programme. ## Caveats Users should exercise caution when interpreting data at practice level. For some practices, this indicator may be based on a small number of patients, meaning that random variation can produce apparently large changes over time or apparently significant differences when compared to other areas. Small-number volatility should always be considered before drawing conclusions from practice-level figures, and aggregated or trend data should be used where possible to provide a more stable picture. ## External References Data is sourced from the NHS England Cervical Screening Programme (CSP). The indicator is also available through the OHID Fingertips platform, published by the Department of Health and Social Care: * [OHID Fingertips – Cervical Screening Coverage] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Cervical screening (50 to 64 yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of eligible women aged 50 to 64 who have had an adequate cervical screening test recorded within the previous 5.5 years. Cervical screening helps identify abnormal cell changes in the cervix at an early stage, before they have the potential to develop into cervical cancer. For women in this older age group, the recommended screening interval is every five years, making 5.5-year coverage the appropriate measure of up-to-date participation. Monitoring coverage at practice and local level supports targeted efforts to improve uptake and reduce preventable cervical cancer cases. ## Rationale While cervical cancer incidence peaks in younger women, women aged 50 to 64 remain at risk and regular screening continues to play an important protective role for this group. The transition from three-yearly to five-yearly screening at age 50 reflects updated clinical guidance, and ensuring women remain engaged with the programme through this transition is an important public health challenge. Tracking coverage locally enables commissioners and practices to identify cohorts with lower uptake and to address barriers such as menopause-related concerns, changes in GP registration, or reduced awareness of ongoing eligibility. ## Numerator The numerator is the number of eligible women aged 50 to 64, registered at the practice on the last day of the review period, who had an adequate cervical screening test recorded in the previous 5.5 years, sourced from the NHS England Cervical Screening Programme. ## Denominator The denominator is the total number of eligible women aged 50 to 64 registered at the practice on the last day of the review period, also sourced from the NHS England Cervical Screening Programme. ## Caveats Users should exercise caution when interpreting data at practice level. For some practices, this indicator may be based on a small number of patients, meaning that random variation can produce apparently large changes over time or apparently significant differences when compared to other areas. Small-number volatility should always be considered before drawing conclusions from practice-level figures, and aggregated or trend data should be used where possible to provide a more stable picture. Users should also note a potential inconsistency in the source metadata for this indicator, where the numerator definition references a 42-month window — this is believed to be an error and the correct screening window for this age group is 5.5 years, consistent with the indicator description and NHS policy. ## External References Data is sourced from the NHS England Cervical Screening Programme (CSP). The indicator is also available through the OHID Fingertips platform, published by the Department of Health and Social Care: * [OHID Fingertips – Cervical Screening Coverage] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Cervical screening (50 to 64 yrs) - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of eligible women aged 50 to 64 who have had an adequate cervical screening test recorded within the previous 5.5 years. Cervical screening helps identify abnormal cell changes in the cervix at an early stage, before they have the potential to develop into cervical cancer. For women in this older age group, the recommended screening interval is every five years, making 5.5-year coverage the appropriate measure of up-to-date participation. Monitoring coverage at practice and local level supports targeted efforts to improve uptake and reduce preventable cervical cancer cases. ## Rationale While cervical cancer incidence peaks in younger women, women aged 50 to 64 remain at risk and regular screening continues to play an important protective role for this group. The transition from three-yearly to five-yearly screening at age 50 reflects updated clinical guidance, and ensuring women remain engaged with the programme through this transition is an important public health challenge. Tracking coverage locally enables commissioners and practices to identify cohorts with lower uptake and to address barriers such as menopause-related concerns, changes in GP registration, or reduced awareness of ongoing eligibility. ## Numerator The numerator is the number of eligible women aged 50 to 64, registered at the practice on the last day of the review period, who had an adequate cervical screening test recorded in the previous 5.5 years, sourced from the NHS England Cervical Screening Programme. ## Denominator The denominator is the total number of eligible women aged 50 to 64 registered at the practice on the last day of the review period, also sourced from the NHS England Cervical Screening Programme. ## Caveats Users should exercise caution when interpreting data at practice level. For some practices, this indicator may be based on a small number of patients, meaning that random variation can produce apparently large changes over time or apparently significant differences when compared to other areas. Small-number volatility should always be considered before drawing conclusions from practice-level figures, and aggregated or trend data should be used where possible to provide a more stable picture. Users should also note a potential inconsistency in the source metadata for this indicator, where the numerator definition references a 42-month window — this is believed to be an error and the correct screening window for this age group is 5.5 years, consistent with the indicator description and NHS policy. ## External References Data is sourced from the NHS England Cervical Screening Programme (CSP). The indicator is also available through the OHID Fingertips platform, published by the Department of Health and Social Care: * [OHID Fingertips – Cervical Screening Coverage] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Diabetics (Type 1) all 9 care processes - ICP Outcomes Framework - Registered Locality

This dataset presents the percentage of people with type 1 diabetes who received all nine recommended care processes within the audit period. Structured diabetes care, delivered through a defined set of annual checks and tests, is central to preventing the serious long-term complications associated with diabetes, including cardiovascular disease, kidney disease, nerve damage, and sight loss. Monitoring the completeness of care process delivery at a local level provides an important indicator of the quality and consistency of diabetes management in primary and community care settings. ## Rationale People with type 1 diabetes require lifelong management and regular clinical review to minimise the risk of complications. Receipt of all nine care processes is associated with better clinical outcomes and is a recognised marker of high-quality diabetes care. Significant variation exists across GP practices and localities in the proportion of patients receiving complete care, often reflecting differences in practice capacity, patient engagement, and the organisation of local diabetes services. Tracking this indicator supports commissioners and providers in identifying where care pathways may need strengthening and where quality improvement efforts should be focused. ## Numerator The numerator is the number of people with type 1 diabetes who received all nine care processes within the audit period, among practices participating in the National Diabetes Audit. The nine care processes are: * Body mass index (BMI) measurement * Blood pressure check * Smoking status recorded * Blood glucose test (HbA1c) * Cholesterol measurement * Urine albumin test * Serum creatinine test * Foot nerve and circulation examination * Retinal screening ## Denominator The denominator is the number of people registered with type 1 diabetes among practices that participate in the National Diabetes Audit, sourced from the National Diabetes Audit (NDA) via NHS England. ## Caveats Users should be aware of several important considerations when interpreting this indicator. National Diabetes Audit data is collected over a 15-month period, running from 1st January in the first year to 31st March in the second year, which spans the financial year reporting period. A number of people with diabetes are excluded from the audit if they are not registered with a GP practice at the time of data collection, which may mean that some of the most vulnerable or less engaged patients are not captured in the figures. Additionally, only practices participating in the National Diabetes Audit contribute data, so coverage may not be universal across all local practices. ## External References Data is sourced from the National Diabetes Audit (NDA), NHS England. The nine care processes align with NICE quality standards for diabetes care: * [NICE Quality Statement 6 – 9 Key Care Processes for Diabetes] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Diabetics (Type 1) all 9 care processes - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the percentage of people with type 1 diabetes who received all nine recommended care processes within the audit period. Structured diabetes care, delivered through a defined set of annual checks and tests, is central to preventing the serious long-term complications associated with diabetes, including cardiovascular disease, kidney disease, nerve damage, and sight loss. Monitoring the completeness of care process delivery at a local level provides an important indicator of the quality and consistency of diabetes management in primary and community care settings. ## Rationale People with type 1 diabetes require lifelong management and regular clinical review to minimise the risk of complications. Receipt of all nine care processes is associated with better clinical outcomes and is a recognised marker of high-quality diabetes care. Significant variation exists across GP practices and localities in the proportion of patients receiving complete care, often reflecting differences in practice capacity, patient engagement, and the organisation of local diabetes services. Tracking this indicator supports commissioners and providers in identifying where care pathways may need strengthening and where quality improvement efforts should be focused. ## Numerator The numerator is the number of people with type 1 diabetes who received all nine care processes within the audit period, among practices participating in the National Diabetes Audit. The nine care processes are: * Body mass index (BMI) measurement * Blood pressure check * Smoking status recorded * Blood glucose test (HbA1c) * Cholesterol measurement * Urine albumin test * Serum creatinine test * Foot nerve and circulation examination * Retinal screening ## Denominator The denominator is the number of people registered with type 1 diabetes among practices that participate in the National Diabetes Audit, sourced from the National Diabetes Audit (NDA) via NHS England. ## Caveats Users should be aware of several important considerations when interpreting this indicator. National Diabetes Audit data is collected over a 15-month period, running from 1st January in the first year to 31st March in the second year, which spans the financial year reporting period. A number of people with diabetes are excluded from the audit if they are not registered with a GP practice at the time of data collection, which may mean that some of the most vulnerable or less engaged patients are not captured in the figures. Additionally, only practices participating in the National Diabetes Audit contribute data, so coverage may not be universal across all local practices. ## External References Data is sourced from the National Diabetes Audit (NDA), NHS England. The nine care processes align with NICE quality standards for diabetes care: * [NICE Quality Statement 6 – 9 Key Care Processes for Diabetes] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Overcrowded households (Percentage) - Birmingham Constituency

This metric provides a measure of whether a household's accommodation is overcrowded or under occupied. It is calculated by summing households with one room too few and households with two or more rooms too few, as a percentage of all households. The ages of the household members and their relationships to each other are used to derive the number of rooms/bedrooms they require, based on a standard formula. The number of rooms/bedrooms required is subtracted from the number of rooms/bedrooms in the household's accommodation to obtain the occupancy rating. An occupancy rating of -1 implies that a household has one fewer room/bedroom than required, whereas +1 implies that they have one more room/bedroom than the standard requirement. 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] .
Travel to work by bicycle (Percentage of pop. aged 16-74) - WMCA

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. cycle cycle cycle cycling cycling cycling
Travel to work on foot (Percentage of pop. aged 16-74) - WMCA

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.
Travel to work by bicycle (Percentage of pop. aged 16-74) - Birmingham Constituency

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.
Travel to work on foot (Percentage of pop. aged 16-74) - Birmingham Constituency

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.
IMD - Proportion of LSOAs in each Decile - WMCA

This metric shows what proportion of the LSOA's within each district are in each IMD decile. Decile 1 indicates high levels of deprivation while those in decile 10 indicate low levels of deprivation. In this context, 'district' refers to all authority types other than county councils. Further detail on the Index of Multiple Deprivation (IMD) can be found at the following link: [https://www.gov.uk/government/collections/english-indices-of-deprivation] Data is [Powered by LG Inform Plus]
IMD - Proportion of LSOAs in each Decile - Core Cities

This metric shows what proportion of the LSOA's within each district are in each IMD decile. Decile 1 indicates high levels of deprivation while those in decile 10 indicate low levels of deprivation. In this context, 'district' refers to all authority types other than county councils. Further detail on the Index of Multiple Deprivation (IMD) can be found at the following link: [https://www.gov.uk/government/collections/english-indices-of-deprivation] Data is [Powered by LG Inform Plus]
Joint Strategic Needs Assessment (JSNA)

The JSNA is a statutory duty of the Health and Wellbeing Board. It is an assessment of the current and future health and social care needs of the people of Birmingham, to inform local organisations and enable them to make decisions and plan services for the future, including informing the Health and Wellbeing Strategy. ## 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.