AndreaBozzo/ceres-open-data-index huggingface dataset:
Suicide rate - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset provides the age-standardised rate of deaths from suicide and injury of undetermined intent. It includes deaths registered in calendar years and classified using specific ICD-10 codes. The data is aggregated into quinary age bands starting from age 10 and is expressed per 100,000 population. Age standardisation ensures comparability across different population groups and time periods. ## Rationale Reducing the suicide rate is a critical public health goal. Monitoring this indicator helps identify trends, assess the effectiveness of mental health interventions, and inform policy decisions aimed at preventing suicide and supporting at-risk populations. ## Numerator The numerator is the number of deaths from suicide and injury of undetermined intent. These are classified by underlying cause of death using ICD-10 codes X60–X84 (ages 10+ only) and Y10–Y34 (ages 15+ only), and are registered in the respective calendar years. The data is grouped into quinary age bands. ## Denominator The denominator is the aggregated population-years for individuals aged 10 and over, also grouped into quinary age bands. These population estimates are based on the 2021 Census. ## Caveats Rates for the period 2001 to 2006 were revised in March 2015. Prior to this revision, ICD code Y33.9 was incorrectly included, which resulted in inflated rates for those years. Users should be cautious when comparing data across this time span. ## External References Further details and related indicators can be accessed on the [Fingertips Public Health Profiles] website. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Suicide rate - ICP Outcomes Framework - Resident Locality

This dataset provides the age-standardised rate of deaths from suicide and injury of undetermined intent. It includes deaths registered in calendar years and classified using specific ICD-10 codes. The data is aggregated into quinary age bands starting from age 10 and is expressed per 100,000 population. Age standardisation ensures comparability across different population groups and time periods. ## Rationale Reducing the suicide rate is a critical public health goal. Monitoring this indicator helps identify trends, assess the effectiveness of mental health interventions, and inform policy decisions aimed at preventing suicide and supporting at-risk populations. ## Numerator The numerator is the number of deaths from suicide and injury of undetermined intent. These are classified by underlying cause of death using ICD-10 codes X60–X84 (ages 10+ only) and Y10–Y34 (ages 15+ only), and are registered in the respective calendar years. The data is grouped into quinary age bands. ## Denominator The denominator is the aggregated population-years for individuals aged 10 and over, also grouped into quinary age bands. These population estimates are based on the 2021 Census. ## Caveats Rates for the period 2001 to 2006 were revised in March 2015. Prior to this revision, ICD code Y33.9 was incorrectly included, which resulted in inflated rates for those years. Users should be cautious when comparing data across this time span. ## External References Further details and related indicators can be accessed on the [Fingertips Public Health Profiles] website. ## 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.
Under 18s conception - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the conception rate among females aged under 18. It includes all pregnancies that result in one or more live or still births, or a legal abortion under the Abortion Act 1967. The rate is expressed per 1,000 females aged 15–17 and is based on data from the Office for National Statistics (ONS). This indicator is a key measure of adolescent reproductive health and social wellbeing. ## Rationale Reducing the rate of under-18 conceptions is a public health priority, as early pregnancy is often associated with poorer health, educational, and economic outcomes for both young mothers and their children. Monitoring this rate helps inform local and national strategies aimed at improving access to contraception, sexual health education, and youth support services. ## Numerator The numerator is the number of pregnancies in females aged under 18 that result in either one or more live or still births, or a legal abortion under the Abortion Act 1967. This data is sourced from the ONS’s annual statistics on conceptions in England and Wales. ## Denominator The denominator is the number of females aged 15–17 living in the area, based on ONS mid-year population estimates. ## Caveats The date of conception is estimated using recorded gestation for abortions and stillbirths, and assuming a gestation period of 38 weeks for live births. This estimation method may introduce some variability in the data. ## External References [Public Health England – Child Health Profiles] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality rate from cancer (under 75yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset presents the mortality rate from cancer among individuals under the age of 75 within the Birmingham and Solihull area. It captures the number of deaths attributed to all cancers (classified under ICD-10 codes C00 to C97) and expresses this as a directly age-standardised rate per 100,000 population. The data is structured in quinary age bands and is available for both single-year and three-year rolling averages, providing a comprehensive view of premature cancer mortality trends in the region. ## Rationale Reducing premature mortality from cancer is a key public health priority. This indicator helps track progress in lowering the number of cancer-related deaths among people under 75, supporting efforts to improve early diagnosis, treatment, and prevention strategies. ## Numerator The numerator is the number of deaths from all cancers (ICD-10 codes C00 to C97) registered in the respective calendar years, for individuals aged under 75. These figures are aggregated into quinary age bands and sourced from the Death Register. ## Denominator The denominator is the population of individuals under 75 years of age, also aggregated into quinary age bands. For single-year rates, the population for that year is used. For three-year rolling averages, the population-years are aggregated across the three years. The source of this data is the 2021 Census. ## Caveats Data may not align exactly with published Office for National Statistics (ONS) figures due to differences in postcode lookup versions and the application of comparability ratios in Office for Health Improvement and Disparities (OHID) data. Users should be cautious when comparing this dataset with other national statistics. ## External references Further information and related indicators can be found on the [OHID Fingertips platform]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality rate from cancer (under 75yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset presents the mortality rate from cancer among individuals under the age of 75 within the Birmingham and Solihull area. It captures the number of deaths attributed to all cancers (classified under ICD-10 codes C00 to C97) and expresses this as a directly age-standardised rate per 100,000 population. The data is structured in quinary age bands and is available for both single-year and three-year rolling averages, providing a comprehensive view of premature cancer mortality trends in the region. ## Rationale Reducing premature mortality from cancer is a key public health priority. This indicator helps track progress in lowering the number of cancer-related deaths among people under 75, supporting efforts to improve early diagnosis, treatment, and prevention strategies. ## Numerator The numerator is the number of deaths from all cancers (ICD-10 codes C00 to C97) registered in the respective calendar years, for individuals aged under 75. These figures are aggregated into quinary age bands and sourced from the Death Register. ## Denominator The denominator is the population of individuals under 75 years of age, also aggregated into quinary age bands. For single-year rates, the population for that year is used. For three-year rolling averages, the population-years are aggregated across the three years. The source of this data is the 2021 Census. ## Caveats Data may not align exactly with published Office for National Statistics (ONS) figures due to differences in postcode lookup versions and the application of comparability ratios in Office for Health Improvement and Disparities (OHID) data. Users should be cautious when comparing this dataset with other national statistics. ## External references Further information and related indicators can be found on the [OHID Fingertips platform]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality rate from cancer (under 75yrs) - ICP Outcomes Framework - Resident Locality

This dataset presents the mortality rate from cancer among individuals under the age of 75 within the Birmingham and Solihull area. It captures the number of deaths attributed to all cancers (classified under ICD-10 codes C00 to C97) and expresses this as a directly age-standardised rate per 100,000 population. The data is structured in quinary age bands and is available for both single-year and three-year rolling averages, providing a comprehensive view of premature cancer mortality trends in the region. ## Rationale Reducing premature mortality from cancer is a key public health priority. This indicator helps track progress in lowering the number of cancer-related deaths among people under 75, supporting efforts to improve early diagnosis, treatment, and prevention strategies. ## Numerator The numerator is the number of deaths from all cancers (ICD-10 codes C00 to C97) registered in the respective calendar years, for individuals aged under 75. These figures are aggregated into quinary age bands and sourced from the Death Register. ## Denominator The denominator is the population of individuals under 75 years of age, also aggregated into quinary age bands. For single-year rates, the population for that year is used. For three-year rolling averages, the population-years are aggregated across the three years. The source of this data is the 2021 Census. ## Caveats Data may not align exactly with published Office for National Statistics (ONS) figures due to differences in postcode lookup versions and the application of comparability ratios in Office for Health Improvement and Disparities (OHID) data. Users should be cautious when comparing this dataset with other national statistics. ## External references Further information and related indicators can be found on the [OHID Fingertips platform]. ## 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.
Mortality rate from Heart Failure (under 75 yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset provides the crude mortality rate from Heart Failure among individuals under the age of 75. It reflects the number of deaths where Heart Failure is identified as the primary cause, based on ICD-10 codes I500, I501, and I509. The data supports public health surveillance and strategic planning aimed at reducing premature deaths from cardiovascular conditions. ## Rationale Heart Failure is a major cause of premature mortality and a key indicator of cardiovascular health. Tracking the under 75 mortality rate from Heart Failure enables health authorities to monitor trends, evaluate the impact of interventions, and inform policies aimed at improving outcomes and reducing avoidable deaths. ## Numerator The numerator is the number of deaths where Heart Failure is recorded as the primary condition. This is determined using ICD-10 codes I500, I501, and I509, with data sourced from the Death Register. ## Denominator The denominator is the total population under the age of 75, as reported in the 2021 Census. This provides the population base for calculating the crude rate per 100,000 individuals. ## Caveats There are no specific caveats noted for this dataset. However, users should be aware that crude rates do not adjust for differences in age distribution within the under 75 population, which may affect comparisons across regions or time periods. ## External References For more information on ICD-10 codes and mortality classifications, refer to the [World Health Organization ICD-10 Browser]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality rate from Heart Failure (under 75 yrs) - ICP Outcomes Framework - Resident Locality

This dataset provides the crude mortality rate from Heart Failure among individuals under the age of 75. It reflects the number of deaths where Heart Failure is identified as the primary cause, based on ICD-10 codes I500, I501, and I509. The data supports public health surveillance and strategic planning aimed at reducing premature deaths from cardiovascular conditions. ## Rationale Heart Failure is a major cause of premature mortality and a key indicator of cardiovascular health. Tracking the under 75 mortality rate from Heart Failure enables health authorities to monitor trends, evaluate the impact of interventions, and inform policies aimed at improving outcomes and reducing avoidable deaths. ## Numerator The numerator is the number of deaths where Heart Failure is recorded as the primary condition. This is determined using ICD-10 codes I500, I501, and I509, with data sourced from the Death Register. ## Denominator The denominator is the total population under the age of 75, as reported in the 2021 Census. This provides the population base for calculating the crude rate per 100,000 individuals. ## Caveats There are no specific caveats noted for this dataset. However, users should be aware that crude rates do not adjust for differences in age distribution within the under 75 population, which may affect comparisons across regions or time periods. ## External References For more information on ICD-10 codes and mortality classifications, refer to the [World Health Organization ICD-10 Browser]. ## 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.
Mortality rate from Heart Failure (under 75 yrs) - ICP Outcomes Framework - Birmingham and Solihull Wards

This dataset provides the crude mortality rate from Heart Failure among individuals under the age of 75. It reflects the number of deaths where Heart Failure is identified as the primary cause, based on ICD-10 codes I500, I501, and I509. The data supports public health surveillance and strategic planning aimed at reducing premature deaths from cardiovascular conditions. ## Rationale Heart Failure is a major cause of premature mortality and a key indicator of cardiovascular health. Tracking the under 75 mortality rate from Heart Failure enables health authorities to monitor trends, evaluate the impact of interventions, and inform policies aimed at improving outcomes and reducing avoidable deaths. ## Numerator The numerator is the number of deaths where Heart Failure is recorded as the primary condition. This is determined using ICD-10 codes I500, I501, and I509, with data sourced from the Death Register. ## Denominator The denominator is the total population under the age of 75, as reported in the 2021 Census. This provides the population base for calculating the crude rate per 100,000 individuals. ## Caveats There are no specific caveats noted for this dataset. However, users should be aware that crude rates do not adjust for differences in age distribution within the under 75 population, which may affect comparisons across regions or time periods. ## External References For more information on ICD-10 codes and mortality classifications, refer to the [World Health Organization ICD-10 Browser]. [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.
Mortality rate respiratory disease (Under 75 yrs) - ICP Outcomes Framework - Birmingham and Solihull

This dataset provides the directly age-standardised mortality rate from respiratory diseases in individuals under the age of 75. Respiratory diseases, including conditions such as chronic obstructive pulmonary disease (COPD), asthma, and pneumonia, are a major cause of premature death. This indicator supports the monitoring of respiratory health and the effectiveness of interventions aimed at reducing early mortality in the Birmingham and Solihull area. ## Rationale Reducing premature mortality from respiratory diseases is a key objective in improving population health and reducing health inequalities. This indicator helps to track progress in respiratory disease prevention, early diagnosis, and management, and supports strategic planning and resource allocation. ## Numerator The numerator is the number of deaths from respiratory diseases (ICD-10 codes J00–J99) registered in the respective calendar years, for individuals aged under 75. ## Denominator The denominator is the population of individuals under 75 years of age, also aggregated into quinary age bands. For single-year rates, the population is based on the 2021 Census. For three-year rolling averages, the denominator is the aggregated population-years over the three years. ## Caveats Data may not align with published Office for National Statistics (ONS) figures due to differences in postcode lookup versions and the application of comparability ratios used in Office for Health Improvement and Disparities (OHID) data. ## External references [Fingertips Public Health Profiles – Respiratory Disease Indicator] [Click here] to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.