AndreaBozzo/ceres-open-data-index huggingface dataset:
NHS fetal anomaly ultrasound screening programme (FA2)

The NHS Fetal Anomaly Ultrasound Screening Programme (FA2) data provides insights into the coverage and effectiveness of the fetal anomaly ultrasound scan conducted between 18 and 20 weeks of pregnancy. This data includes the percentage of eligible pregnant women who received the scan, which is designed to detect a range of fetal anomalies such as Down's syndrome, Edwards' syndrome, Patau's syndrome, and various physical conditions like spina bifida and congenital heart disease. ## Rationale The FA2 data helps assess the programme's reach and identify areas for improvement, ensuring that expectant mothers receive timely and accurate information about their baby's health. This information is crucial for healthcare providers to monitor and enhance the quality of prenatal care services. ## Definition of numerator The number of eligible pregnant women who received the fetal anomaly ultrasound scan between 18 and 20 weeks of pregnancy. ## Definition of denominator The total number of eligible pregnant women who were offered the fetal anomaly ultrasound scan between 18 and 20 weeks of pregnancy. ## Caveats * Eligibility Criteria: The data only includes pregnant women who meet specific eligibility criteria, such as those with a fetal crown rump length (CRL) measurement between 45.0mm and 84.0mm (11 weeks plus 2 days to 14 weeks plus 1 day of pregnancy). Women who fall outside these parameters are excluded. * Exclusions: Certain groups are excluded from the data, such as women who miscarry, opt for termination, transfer out before testing, or have pregnancies of a higher order than twins. * Technical Limitations: There may be instances where it is not technically possible to measure the nuchal translucency (NT), leading to exclusions from the data. * Service Capacity: The capacity of ultrasound departments to accommodate women presenting later in pregnancy can affect the data. If the service cannot offer the combined test to women presenting between 13 weeks plus 1 day and 14 weeks plus 1 day, these women can be excluded. * Informed Choice: The data includes women who decline the screening after being offered, which can impact the overall coverage rates.
NHS Infectious diseases in pregnancy screening programme coverage HIV (ID1)

The NHS Infectious Diseases in Pregnancy Screening (IDPS) programme aims to identify and manage infections such as HIV, hepatitis B, and syphilis in pregnant women. Early detection and treatment can significantly reduce the risk of mother-to-child transmission, ensuring better health outcomes for both mother and baby. This dataset focuses on the key performance indicator (KPI) ID1, which measures the coverage of HIV screening in pregnant women. ## Rationale The IDPS programme is crucial for preventing the vertical transmission of infectious diseases from mother to child. Early identification and treatment of HIV can prevent serious health complications for both the mother and the baby. The programme ensures that all pregnant women are offered screening, promoting equitable access to essential healthcare services. ## Definition of numerator The numerator for this dataset includes the number of pregnant women who have undergone HIV screening within the specified timeframes. This figure represents the total number of HIV screenings conducted during the reporting period. ## Definition of denominator The denominator for this dataset includes the total number of pregnancies within the reporting period. This figure provides the context for understanding the coverage and reach of the screening programme, allowing for the calculation of screening uptake rates. ## Caveats There are several caveats to consider when interpreting this dataset. Firstly, the accuracy of the data depends on the completeness and quality of the records maintained by healthcare providers. Secondly, some infections may not be detectable within the initial screening period and may only become apparent later. Lastly, variations in screening practices and follow-up procedures across different regions may impact the consistency of the data.
NHS Newborn and infant physical examination screening programme coverage (NP1)

The NHS Newborn and Infant Physical Examination (NIPE) screening programme aims to identify and refer all children born with congenital abnormalities of the eyes, heart, hips, and (in males) testes. The screening is conducted within 72 hours of birth and again at 6 to 8 weeks of age to detect any abnormalities that may become apparent later. This dataset provides detailed information on the screening outcomes, including the number of screenings conducted, the number of abnormalities detected, and the follow-up actions taken. ## Rationale The NIPE screening programme is essential for early detection and intervention of congenital abnormalities, which can significantly reduce morbidity and mortality. Early identification allows for timely treatment and management, improving long-term health outcomes for affected infants. The programme ensures that all newborns receive a thorough physical examination, promoting equitable access to healthcare services. ## Definition of numerator The numerator for this dataset includes the number of newborns and infants who have undergone the physical examination screening within the specified timeframes (within 72 hours of birth and at 6 to 8 weeks of age). This figure represents the total number of screenings conducted during the reporting period. ## Definition of denominator The denominator for this dataset includes the total number of live births within the reporting period. This figure provides the context for understanding the coverage and reach of the screening programme, allowing for the calculation of screening uptake rates. ## Caveats There are several caveats to consider when interpreting this dataset. Firstly, the accuracy of the data depends on the completeness and quality of the records maintained by healthcare providers. Secondly, some congenital abnormalities may not be detectable within the initial screening period and may only become apparent later. Lastly, variations in screening practices and follow-up procedures across different regions may impact the consistency of the data.
NHS Newborn hearing screening programme coverage (NH1)

The NHS Newborn Hearing Screening Programme (NHSP) aims to identify hearing impairments in newborns early, ensuring timely intervention and support. Early detection can significantly improve language, communication, and social development outcomes for affected children. This dataset focuses on the key performance indicator (KPI) NH1, which measures the coverage of hearing screening in newborns. ## Rationale The NHSP is crucial for early identification of hearing impairments, which can have a profound impact on a child's development. By ensuring all newborns are screened, the programme promotes equitable access to essential healthcare services and supports early intervention, improving long-term outcomes for children with hearing impairments. ## Definition of numerator The numerator for this dataset includes the number of newborns who have undergone hearing screening within the specified timeframes. This figure represents the total number of hearing screenings conducted during the reporting period. ## Definition of denominator The denominator for this dataset includes the total number of live births within the reporting period. This figure provides the context for understanding the coverage and reach of the screening programme, allowing for the calculation of screening uptake rates. ## Caveats There are several caveats to consider when interpreting this dataset. Firstly, the accuracy of the data depends on the completeness and quality of the records maintained by healthcare providers. Secondly, some hearing impairments may not be detectable within the initial screening period and may only become apparent later. Lastly, variations in screening practices and follow-up procedures across different regions may impact the consistency of the data.
NHS Infectious diseases in pregnancy screening programme coverage Syphilis (ID4)

The NHS Infectious Diseases in Pregnancy Screening (IDPS) programme aims to identify and manage infections such as HIV, hepatitis B, and syphilis in pregnant women. Early detection and treatment can significantly reduce the risk of mother-to-child transmission, ensuring better health outcomes for both mother and baby. This dataset focuses on the key performance indicator (KPI) ID4, which measures the coverage of syphilis screening in pregnant women. ## Rationale The IDPS programme is crucial for preventing the vertical transmission of infectious diseases from mother to child. Early identification and treatment of syphilis can prevent serious health complications for both the mother and the baby. The programme ensures that all pregnant women are offered screening, promoting equitable access to essential healthcare services. ## Definition of numerator The numerator for this dataset includes the number of pregnant women who have undergone syphilis screening within the specified timeframes. This figure represents the total number of syphilis screenings conducted during the reporting period. ## Definition of denominator The denominator for this dataset includes the total number of pregnancies within the reporting period. This figure provides the context for understanding the coverage and reach of the screening programme, allowing for the calculation of screening uptake rates. ## Caveats There are several caveats to consider when interpreting this dataset. Firstly, the accuracy of the data depends on the completeness and quality of the records maintained by healthcare providers. Secondly, some infections may not be detectable within the initial screening period and may only become apparent later. Lastly, variations in screening practices and follow-up procedures across different regions may impact the consistency of the data.
NHS Infectious diseases in pregnancy screening programme coverage Hepatitis B (ID3)

The NHS Infectious Diseases in Pregnancy Screening (IDPS) programme aims to identify and manage infections such as HIV, hepatitis B, and syphilis in pregnant women. Early detection and treatment can significantly reduce the risk of mother-to-child transmission, ensuring better health outcomes for both mother and baby. This dataset focuses on the key performance indicator (KPI) ID3, which measures the coverage of hepatitis B screening in pregnant women. ## Rationale The IDPS programme is crucial for preventing the vertical transmission of infectious diseases from mother to child. Early identification and treatment of hepatitis B can prevent serious health complications for both the mother and the baby. The programme ensures that all pregnant women are offered screening, promoting equitable access to essential healthcare services. ## Definition of numerator The numerator for this dataset includes the number of pregnant women who have undergone hepatitis B screening within the specified timeframes. This figure represents the total number of hepatitis B screenings conducted during the reporting period. ## Definition of denominator The denominator for this dataset includes the total number of pregnancies within the reporting period. This figure provides the context for understanding the coverage and reach of the screening programme, allowing for the calculation of screening uptake rates. ## Caveats There are several caveats to consider when interpreting this dataset. Firstly, the accuracy of the data depends on the completeness and quality of the records maintained by healthcare providers. Secondly, some infections may not be detectable within the initial screening period and may only become apparent later. Lastly, variations in screening practices and follow-up procedures across different regions may impact the consistency of the data.
NHS Newborn blood spot screening programme coverage of CCG responsibility at birth (NB1)

The NHS Newborn Blood Spot (NBS) Screening Programme aims to identify and manage nine serious but treatable conditions in newborns, including sickle cell disease, cystic fibrosis, and congenital hypothyroidism. Early detection through blood spot screening can significantly improve health outcomes by enabling timely treatment. This dataset focuses on the key performance indicator (KPI) NB1, which measures the coverage of blood spot screening at birth under the responsibility of Clinical Commissioning Groups (CCGs). ## Rationale The NBS screening programme is crucial for early detection and intervention of serious conditions that can lead to severe disability or even death if left untreated. By ensuring all newborns are screened, the programme promotes equitable access to essential healthcare services and supports early treatment and management, improving long-term health outcomes. ## Definition of numerator The numerator for this dataset includes the number of newborns who have undergone blood spot screening within the specified timeframe after birth. This figure represents the total number of screenings conducted under the responsibility of CCGs during the reporting period. ## Definition of denominator The denominator for this dataset includes the total number of live births within the reporting period. This figure provides the context for understanding the coverage and reach of the screening programme, allowing for the calculation of screening uptake rates. ## Caveats There are several caveats to consider when interpreting this dataset. Firstly, the accuracy of the data depends on the completeness and quality of the records maintained by healthcare providers. Secondly, some conditions may not be detectable within the initial screening period and may only become apparent later. Lastly, variations in screening practices and follow-up procedures across different regions may impact the consistency of the data.
NHS Sickle cell and Thalassaemia screening coverage (ST1)

The NHS Sickle Cell and Thalassaemia (SCT) Screening Programme aims to identify carriers of sickle cell disease and thalassaemia, as well as individuals affected by these conditions. ## Rationale The rationale for the NHS Sickle Cell and Thalassaemia (SCT) Screening Programme is to identify carriers and individuals affected by these inherited blood disorders early in pregnancy. Early detection allows for informed decision-making by prospective parents and ensures timely medical intervention. Sickle cell disease and thalassaemia can lead to severe health complications, including chronic pain, anemia, and increased risk of infections. By screening pregnant women and, if necessary, their partners, the programme aims to provide crucial information about the risk of passing these conditions to their offspring. This proactive approach helps manage and mitigate potential health issues, improving outcomes for both mothers and babies. ## Definition of numerator The number of pregnant women who have been screened for sickle cell and thalassaemia. ## Definition of denominator The total number of pregnant women who are eligible for screening for sickle cell and thalassaemia. ## Caveats * Eligibility Criteria: The data only includes pregnant women who meet specific eligibility criteria for screening. * Exclusions: Certain groups may be excluded from the data, such as women who miscarry, opt for termination, or transfer out before testing. * Informed Choice: The data includes women who decline the screening after being offered, which can impact the overall coverage rates. * Technical Limitations: There may be instances where it is not technically possible to perform the screening, leading to exclusions from the data. * Service Capacity: The capacity of healthcare providers to accommodate all eligible women can affect the data, especially if there are resource constraints. * Data Accuracy: The accuracy of the data depends on the completeness and correctness of the information recorded by healthcare providers.
Yearly Minimum and Maximum Temperatures - Birmingham Wards

Estimated minimum and maximum air temperatures for each of Birmingham's 69 wards, derived from the Met Office [HadUK-Grid] dataset produced by the Centre for Environmental Data Analysis (CEDA). HadUK-Grid interpolates observations from meteorological stations across the UK onto a uniform 1km by 1km grid, providing complete and consistent coverage. Ward-level figures have been calculated by aggregating the underlying grid cells that fall within each ward boundary, giving a representative temperature range for each area. HadUK-Grid is the Met Office's primary dataset for UK climate monitoring and is used for operational climate reporting by the Met Office itself. It is built from station observations for daily maximum and minimum air temperatures, meaning the data can support both current monitoring and longer-term trend analysis at a local level. The dataset records daily maximum temperature (the highest temperature recorded during the day, typically in the afternoon) and daily minimum temperature (the lowest recorded, typically overnight or in the early hours). Together these give an indication of the temperature range experienced in a ward on any given day, which is relevant to public health, energy demand, green infrastructure planning, and understanding heat and cold risk across the city's communities. Birmingham's wards vary in their built environment, green space coverage, and proximity to urban heat sources, meaning temperature patterns can differ meaningfully across the city. This dataset allows those differences to be explored and monitored over time. The underlying HadUK-Grid data are published under the [Open Government Licence v3.0] and should be cited as: Met Office; Hollis, D.; McCarthy, M.; Kendon, M.; Legg, T.; Simpson, I. (2018): HadUK-Grid gridded and regional average climate observations for the UK. Centre for Environmental Data Analysis. [catalogue.ceda.ac.uk/uuid/4dc8450d889a491ebb20e724debe2dfb].
Payments to Suppliers over £500

At Birmingham we are committed to making our finances clear, so that everyone can see exactly how we are spending money. As part of our commitment to providing financial transparency, the City Council has instructed that regular reports should be published on all expenditure over £500 including VAT. This dataset list the individual payments to suppliers with a value over £500 for the last 12 months. Please note these are payments made in the period, and do not necessarily relate to invoices dated or received in the period. In the interests of keeping the costs of publication to a minimum, the Council has published the data in a plain, simple format showing: * Payment beneficiary * Date of payment * Amount paid * Unique document reference If you require further information about any of the payments, please contact [foi.mailbox@birmingham.gov.uk] setting out the details of the payment and what additional information you require. Such request will be handled under the Freedom of Information Act 2000, and the Council aims to be able to provide a response to your query within 20 working days. We aim to be as transparent as we can, but in some cases we will need to respect information that could be seen as commercially sensitive or where the payment relates to vulnerable young people or adults.
Claimant count by sex and age - Birmingham Wards - 5 Years

The Claimant Count - the stock of Universal Credit and Job Seekers Allowance claimants broken down by sex, age and type of benefit being claimed. Shows totals for all Birmingham Wards by Sex and age for the last 60 months. Data is updated on the 15th of every month. See [www.nomisweb.co.uk] for the full release calendar.
Claimant count by sex and age - WMCA Wards (2021) - 4 Years

The Claimant Count - the stock of Universal Credit and Job Seekers Allowance claimants broken down by sex, age and type of benefit being claimed. Shows totals for all Birmingham Wards by Sex and age for the last 48 months. Data is updated on the 15th of every month. See [www.nomisweb.co.uk] for the full release calendar.
West Midlands Fire Service Incidents

This dataset contains detailed information from the West Midlands Fire Service on their fire and rescue incidents. This dataset is a comprehensive resource for analysing patterns in fire service and understanding the distribution of different incident types across the West Midlands region. It can be used to explore the effectiveness of response times, identifying high-risk areas, and evaluate safety interventions. The location data provided is at LSOA level from 2011 geographies. This has been converted to the 2021 geography using the [ONS Best Fit Lookup] to enable easier mapping with modern layouts.
Birmingham's Wellbeing Index 2026 - Metadata

This dataset is the metadata to accompany the [Birmingham's Wellbeing Index 2026; Creating A Mentally Healthy City dashboard] and [Birmingham's Wellbeing Index 2026 - Values dataset]. The Birmingham Wellbeing Index brings together data, insight and place-based intelligence to reveal where need is greatest and guide action to create a more healthy and equitable city. First introduced in the Director of Public Health's annual report of 2025, this tool has been further developed as part of the Creating a Mentally Healthy City Strategy (2025–2035) — a long-term, whole-system commitment to improving mental health and reducing inequalities across Birmingham. The strategy recognises that mental health outcomes are shaped by a complex combination of social, economic, environmental and systemic factors, with need unevenly distributed across neighbourhoods. In response, it sets out a shift from traditional, service-led approaches to a preventative, place-based model focused on addressing the wider determinants of mental health and embedding wellbeing into everyday environments and systems. This ambition is structured around four interconnected priorities: * Healthy People * Healthy Families * Healthy Communities * Healthy Places To deliver this, Birmingham has established a Live Framework for Action — a dynamic, continuously evolving approach to planning and delivery that integrates behavioural science, data and co-production to ensure action is responsive, evidence-led and focused on reducing inequalities. Central to this approach is the Birmingham Mental Health Atlas (BMHA), a live intelligence and mapping tool that brings together data on deprivation, population need, demographics, services, community assets and environmental factors at neighbourhood level. This enables real-time, place-based insight, highlighting where need is greatest and where intervention is most needed. The Wellbeing Index builds directly on this foundation. The Atlas provides the detailed, place-based intelligence, while the Index brings this data together into a clear, structured and comparable measure of wellbeing and inequality across the city. Together, they support a more consistent understanding of variation across communities and strengthen evidence-based decision-making and prioritisation. The Index forms part of a live and evolving system. As delivery action plans are finalised and implemented through the Live Framework for Action, it will be further enhanced through the integration of additional data, indicators and outcome measures, particularly those linked to delivery and impact. Together, the strategy, Live Framework for Action, Mental Health Atlas and Wellbeing Index represent a connected system for change — moving Birmingham from high-level ambition to practical, data-informed action, and ensuring that improving mental health and wellbeing remains an ongoing, adaptive and equitable process, grounded in evidence and lived experience.