AndreaBozzo/ceres-open-data-index huggingface dataset:
Median house price - WMCA Wards (2025)

This is the median house price for residential property sales (all dwellings sold and registered) in a given period of four consecutive quarters, in the area. They are calculated using open data from the HM Land Registry (LR), a source of comprehensive record-level administrative data on property transactions. They are updated twice a year, in spring and autumn. The LR Price Paid data are comprehensive in that they capture changes of ownership for individual residential properties which have sold for full market value and cover both cash sales and those involving a mortgage. The median is the value determined by putting all the house sales for a given year, area and type in order of price and then selecting the price of the house sale which falls in the middle. Note that a transaction occurs when a change of freeholder or leaseholder takes place regardless of the amount of money involved, and a property can transact more than once in the time period. The LR records the actual price for which the property changed hands. This will usually be an accurate reflection of the market value for the individual property, but it is not always the case. In order to generate statistics that more accurately reflect market values, the LR has excluded records of houses that were not sold at market value from the dataset. The remaining data are considered a good reflection of market values at the time of the transaction. The LR Price Paid data are not adjusted to reflect the mix of houses in a given area. Fluctuations in the types of house that are sold in that area can cause differences between the median transactional value of houses and the overall market value of houses. Therefore these statistics differ from the new UK House Price Index (HPI) which reports mix-adjusted average house prices and house price indices. If, for a given year, house type and area there were fewer than 5 sales records in the LR Price Paid data, the house price statistics are not reported. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 4th of each month.
Cancer screening coverage: cervical cancer (aged 50 to 64 years old) - WMCA

The proportion of women in the resident population eligible for cervical screening aged 50 to 64 years at end of period reported who were screened adequately within the previous 5.5 years. ## Rationale Cervical screening supports detection of cell abnormalities that may become cancer and is estimated to save 4,500 lives in England each year. Inclusion of this indicator provides an opportunity to incentivise screening promotion and other local initiatives to increase coverage of cervical cancer screening. Improvements in coverage would mean more cervical cancer is prevented or detected at earlier, more treatable stages. ## Definition of numerator Tested women (numerator) is the number of eligible women with a technically adequate screen within the previous 5.5 years. ## Definition of denominator Eligible women (denominator) is the number of women aged 50 to 64 years resident in the area (determined by postcode of residence) who are eligible for cervical screening at a given point in time, excluding those without a cervix. ## Caveats Data for ICBs are estimated from local authority data. In most cases ICBs are coterminous with local authorities, so the ICB figures are precise. In cases where local authorities cross ICB boundaries, the local authority data are proportionally split between ICBs, based on population located in each ICB. The affected ICBs are: * Bath and North East Somerset, Swindon and Wiltshire; * Bedfordshire, Luton and Milton Keynes; * Buckinghamshire, Oxfordshire and Berkshire West; * Cambridgeshire and Peterborough; * Frimley; * Hampshire and Isle of Wight; * Hertfordshire and West Essex; * Humber and North Yorkshire; * Lancashire and South Cumbria; * Norfolk and Waveney; * North East and North Cumbria; * Suffolk and North East Essex; * Surrey Heartlands; * Sussex; * West Yorkshire. Eligible pupils are those children who turn 5 within the academic year unless: * an exemption has been granted by the secretary of state from the profile * the child has recently arrived from abroad and so an accurate and valid assessment cannot be completed. * the child has spent a lengthy period of time away from the setting, for example: due to illness or medical treatment. * the child is continuing in early years foundation stage profile provision beyond the year in which they turn 5
Chlamydia diagnosis rate - WMCA

All chlamydia diagnoses among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included). *Sexual health services providing STI related care (Levels 1, 2 or 3). Further details on the levels of sexual healthcare provision are provided in the [https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/] . ## Rationale Chlamydia causes avoidable sexual and reproductive ill-health. While chlamydial infections are more commonly found among young adults aged under 25 years, women and men aged 25 years and over are also at-risk of chlamydia. ## Definition of numerator The number of chlamydia diagnoses among people accessing sexual health services in England. Includes those diagnosed through NHS and local authority commissioned testing and excludes those diagnosed through private testing. Chlamydia data is sourced from GUMCAD STI Surveillance System (Level 3) and CTAD Chlamydia Surveillance System (Levels 1 and 2), UKHSA. GUMCAD data is reported by SHSs providing STI related care (Levels 2 or 3). CTAD is reported by laboratories conducting testing for any service (Levels 1, 2 or 3) providing chlamydia testing. A maximum of one chlamydia test or diagnosis per individual is counted within a 6 week period. Any further tests or diagnoses within the 6 week period are not counted. Diagnoses are kept in preference over negative results during this process. Patients cannot be tracked between clinics and therefore de-duplication relies on patient consultations at a single service. The clinical definition used to diagnose chlamydia is given at [https://www.bashh.org/guidelines] . ## Definition of denominator The denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census. Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy. Further details on the ONS census are available from the [https://www.ons.gov.uk/census] . ## Caveats Every effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service. Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications. Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.
Genital herpes diagnosis rate - WMCA

All diagnoses of first episode genital herpes among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included).*Sexual health services providing STI related care (Levels 2 and 3). Further details on the levels of sexual healthcare provision are provided in the [https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/] . ## Rationale Genital herpes is the most common ulcerative sexually transmitted infection seen in England. Infections are frequently due to herpes simplex virus (HSV) type 2, although HSV-1 infection is also seen. Recurrent infections are common with patients returning for treatment. ## Definition of numerator The number of diagnoses of genital herpes (first episode) among people accessing sexual health services in England who are also residents in England. Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of genital herpes (first episode) were used. The clinical criteria used to diagnose the conditions are given at [https://www.bashh.org/guidelines] . Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between services and therefore de-duplication relies on patient consultations at a single service. ## Definition of denominator The denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census. Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy. Further details on the ONS census are available from the [https://www.ons.gov.uk/census] . ## Caveats Every effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service. Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications. Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.
Syphilis diagnostic rate - WMCA

All infectious syphilis (primary, secondary and early latent) diagnoses among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and includes those residents in England and those with an unknown residence (data for those residents outside of England is not included). *Sexual health services providing STI related care (Levels 2 and 3). Further details on the levels of sexual healthcare provision are provided in the [https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/] . ## Rationale Syphilis is an important public health issue in men who have sex with men (MSM) among whom incidence has increased over the past decade. ## Definition of numerator The number of infectious syphilis (primary, secondary and early latent) diagnoses among people accessing sexual health services in England who are also residents in England. Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of infectious syphilis (primary, secondary and early latent) were used. The clinical criteria used to diagnose the conditions are given at [https://www.bashh.org/guidelines] . Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between clinics and therefore de-duplication relies on patient consultations at a single service. ## Definition of denominator The denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census. Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy. Further details on the ONS census are available from the [https://www.ons.gov.uk/census] . ## Caveats Every effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service. Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications. Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.
Gonorrhoea diagnostic rate - WMCA

All gonorrhoea diagnoses among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included). *Sexual health services providing STI related care (Levels 2 and 3). Further details on the levels of sexual healthcare provision are provided in the [https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/] . ## Rationale Gonorrhoea causes avoidable sexual and reproductive ill-health. Gonorrhoea is used as a marker for rates of unsafe sexual activity. This is because the majority of cases are diagnosed in sexual health clinics, and consequently the number of cases may be a measure of access to sexually transmitted infection (STI) treatment. Infections with gonorrhoea are also more likely than chlamydia to result in symptoms. ## Definition of numerator The number of gonorrhoea diagnoses among people accessing sexual health services in England who are also residents in England. Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of gonorrhoea were used. The clinical criteria used to diagnose the conditions are given at [https://www.bashh.org/guidelines] . Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between services and therefore de-duplication relies on patient consultations at a single service. ## Definition of denominator The denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census. Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy. Further details on the ONS census are available from the h[ttps://www.ons.gov.uk/census] . ## Caveats Every effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service. Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications. Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.
Genital warts diagnostic rate - WMCA

All diagnoses of first episode genital warts among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included). ## Rationale Genital warts are the third most commonly diagnosed sexually transmitted infection (STI) in the UK and are caused by infection with specific subtypes of human papillomavirus (HPV). Recurrent infections are common with patients returning for treatment. ## Definition of numerator The number of diagnoses of first episode genital warts among people accessing sexual health services in England who are also residents in England. Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of first episode of genital warts were used. The clinical criteria used to diagnose the condition are given at BASHH guidelines. Data was de-duplicated to ensure that a patient only received a diagnostic code once for each episode. Patients cannot be tracked between services and therefore de-duplication relies on patient consultations at a single service. ## Definition of denominator The denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census. Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy. Further details on the ONS census are available from the ONS website. ## Caveats Every effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service. Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications. Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.
Percentage households in fuel poverty - WMCA Wards

This shows fuel poor households as a proportion of all households in the geographical area (modelled) using the Low Income Low Energy Efficiency (LILEE) measure. Since 2021 (2019 data) the LILEE indicator considers a household to be fuel poor if: * it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) methodology * its disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line. The Government is interested in the amount of energy people need to consume to have a warm, well-lit home, with hot water for everyday use, and the running of appliances. Therefore, fuel poverty is measured based on required energy bills rather than actual spending. This ensures that those households who have low energy bills simply because they actively limit their use of energy at home, Fuel poverty statistics are based on data from the English Housing Survey (EHS). Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics. Estimates at the sub-regional level should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 4th of each month.
Cancer screening coverage: bowel cancer - WMCA

The proportion of eligible men and women aged 60 to 74 invited for screening who had an adequate faecal occult blood test (FOBt) screening result in the previous 30 months. ## Rationale Bowel cancer screening supports early detection of cancer and polyps which are not cancers but may develop into cancers over time. About one in 20 people in the UK will develop bowel cancer during their lifetime. This indicator provides an opportunity to incentivise screening promotion and other local initiatives to increase coverage of bowel cancer screening. Improvements in coverage would mean more bowel cancers are detected at earlier, more treatable stages, and more polyps are detected and removed, reducing the risk of bowel cancer developing. ## Definition of numerator Adequately screened (numerator) is the number of eligible men and women who have had an adequate gFOBT screening result recorded in the past 30 months. ## Definition of denominator Eligible population (denominator) is the number of men and women aged 60 to 74 years resident in the area (determined by postcode of residence) who are eligible for bowel cancer screening at a given point in time, excluding those whose recall has been ceased for clinical reasons (e.g. no functioning colon) or if they opt out of the programme. ## Caveats Data for ICBs are estimated from local authority data. In most cases ICBs are coterminous with local authorities, so the ICB figures are precise. In cases where local authorities cross ICB boundaries, the local authority data are proportionally split between ICBs, based on population located in each ICB. The affected ICBs are: * Bath and North East Somerset, Swindon and Wiltshire; * Bedfordshire, Luton and Milton Keynes; * Buckinghamshire, Oxfordshire and Berkshire West; * Cambridgeshire and Peterborough; * Frimley; * Hampshire and Isle of Wight; * Hertfordshire and West Essex; * Humber and North Yorkshire; * Lancashire and South Cumbria; * Norfolk and Waveney; * North East and North Cumbria; * Suffolk and North East Essex; * Surrey Heartlands; * Sussex; * West Yorkshire. Please be aware that the April 2019 to March 2020, April 2020 to March 2021 and April 2021 to March 2022 data covers the time period affected by the COVID19 pandemic and therefore data for this period should be interpreted with caution. This indicator gives screening coverage by local authority of residence. This is not the same as the indicator based on population registered with primary care organisations which include patients wherever they live. This is likely to result in different England totals depending on selected (registered or resident) population footprint. The indicator excludes women outside the target age range for the screening programme who may self-refer for screening. The data for bowel screening indicators has been refreshed for all years, back to the 2013 to 2014 financial year. This is due to a methodology change, to ensure the data periods run up to the end of March in the given financial year.
Percentage of 5 year olds with experience of visually obvious dental decay - WMCA

Percentage of 5 year olds with dental decay extending to the dentine layer which can be detected by visual observation alone ## Rationale Oral health is an integral part of overall health; when children are not healthy this affects their ability to learn, thrive and develop. This indicator therefore links to a key policy: Getting the Best Start in Life. Poor oral health is a priority under Best Start in Life, it was also a topic of a Health Select Committee inquiry, and the most common cause of hospital admission for 5 to 9 year olds. This indicator allows benchmarking of oral health of young children across England, and is an excellent proxy measure of assessing the impact of the commissioning of oral health improvement programmes on the local community. Dental caries is a synonymous term for tooth decay. ## Definition of numerator Number of 5 year olds in a given area with at least one tooth decayed, missing or filled ## Definition of denominator Number of 5 year olds examined for a given area ## Caveats Not all local authorities have taken part in the survey. This means that for any child who has been examined whose LA of residence has not taken part in the survey, their figures will be included in national, regional, deprivation and ethnicity breakdowns, but will not appear in the local authority breakdown. Details are available at [https://www.gov.uk/government/collections/oral-health#surveys-and-intelligence:-children]