AndreaBozzo/ceres-open-data-index huggingface dataset:
Employment rate (aged 16-64) - WMCA

This is the proportion of the working age population (aged 16 to 64) who are in employment according to the International Labour Organisation (ILO) definition. In employment are people who did some paid work in the reference week (whether as an employee or self-employed); those who had a job that they were temporarily away from (e.g. on holiday); those on government-supported training and employment programmes; and those doing unpaid family work. While the source is a rolling annual survey updated quarterly, a given 12-month period should be compared to the matching 12-month period in previous years to obtain valid comparisons. The data for district and unitary authorities is generally taken not directly from the Annual Population Survey but from associated modelled estimates produced by the Office for National Statistics, which provide greater accuracy. > This was previously reported as NI 151. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Unemployment rate (aged 16+) - WMCA

This is the proportion of the population aged 16 and over who are unemployed as a percentage of the economically active population. Economically active are people aged 16 and over who are employed or unemployed. Unemployed refers to people without a job who were available to start work in the two weeks following their interview and who had either looked for work in the four weeks prior to interview or were waiting to start a job they had already obtained. While the source is a rolling annual survey updated quarterly, a given 12-month period should be compared to the matching 12-month period in previous years to obtain valid comparisons. The data for district and unitary authorities is generally taken not directly from the Annual Population Survey but from associated modelled estimates produced by the Office for National Statistics, which provide greater accuracy. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Workless households (Percentage of all households) - WMCA

This is the percentage of workless households in an area. A household is defined as: a single person, or a group of people living at the same address who have the address as their only or main residence and either share one main meal a day or share living accommodation (or both). Estimates on the economic activity status of households are for only those households that includes at least one person aged 16 to 64. Household types are defined as 1. Working household: all individuals aged 16 and over are in employment. 2. Mixed household: at least one person aged 16 and over is in employment and at least one other is either unemployed or inactive. 3. Workless household: no individuals aged 16 and over are in employment. The statistics are from the Annual Population Survey (APS), cover the period January to December and only include households where at least one person is aged 16 to 64 years old. Estimates for counts are rounded to the nearest hundred and are not shown if the data are disclosive, that is, if the unweighted sample size is less than 3, or if the estimate is less than 500. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage of LA stock - Affordable Rent - WMCA

This is the proportion of stock owned by the local authority as at 31st March, that is classed as affordable rent. This is the number of local authority owned affordable rent dwellings divided by the total local authority owned dwellings including PFI & Shared Ownership multiplied by 100. This indicator is from the Local Authority Housing Statistics data returns (LAHS) Section A - Dwelling Stock Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage who are economically inactive (aged 16-64) - WMCA

This is the proportion of the population aged 16 to 64 who are economically inactive. Economically inactive are people who are neither in employment nor unemployed. This group includes: all those who were looking after a family/home, sick, retired or students; those 'Wanting A Job' - people not in employment who want a job but are not classed as unemployed because they have either not sought work in the last four weeks or are not available to start work; and those 'Not Wanting A Job' - people who are neither in employment nor unemployed and who do not want a job. While the source is a rolling annual survey updated quarterly, a given 12-month period should be compared to the matching 12-month period in previous years to obtain valid comparisons. The data for district and unitary authorities is generally taken not directly from the Annual Population Survey but from associated modelled estimates produced by the Office for National Statistics, which provide greater accuracy. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Change in Investments - WMCA

Change in Investments This is the change in investments as defined in paragraph 82 of the Prudential Code (2017) from the 1st April to the 31st March. This is the unadjusted principle amount of all outstanding external investment. Including all external investments made by the authority, both short and longer-term, for any purpose" Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage of other planning applications (all) decided in time - Annual - WMCA

This is the percentage of all other development planning applications (PAs) whether or not they have a Planning Performance Agreement (PPAs), Extension of Time (EoT) and/or Environmental Impact Assessment (EIA), determined in a timely manner, each financial year. PA: This is short for 'planning agreement' which is used in the planning application statistics a shorthand term for covering Planning Performance Agreements. A timely manner is statutory defined as within 8 weeks or unless an application is subject to Environmental Impact Assessment, in which case a 16 weeks period applies, for all other applications. Whilst this indicator focuses on other applications, data is also available broken down by county matter, major and minor applications. The other category includes the following developments types: advertisements, change of use, householder developments, listed building consents (to alter or extend), listed building consents (to demolish), relevant demolition in a conservation area. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage 19 year olds qualified to Level 3 - WMCA

This is the percentage of people studying in a local authority at the age of 16 (academic age 15) who attain a Level 3 qualification by the age of 19. Attainment of Level 3 equates to achievement of 2 or more A-levels or equivalent qualifications. The numerator is based on those young people studying at a school in the LA at academic age 15 (ie in year 11) who reach Level 3 at the age of 19, regardless of where they eventually gain the Level 3. The denominator is based on the Annual School Census figure for number attending all schools in the given LA at academic age 14 (including PRUs and independent schools). These denominators include the dual registered pupils in their main institution. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage 19 year olds qualified to Level 2 - WMCA

This is the percentage of people studying in a local authority at the age of 16 (academic age 15) who attain a Level 2 qualification by the age of 19. Attainment of Level 2 equates to achievement of 5 or more GCSEs at grades A*-C or equivalent qualifications. The numerator is based on those young people studying at a school in the LA at academic age 15 (ie in year 11) who reach Level 2 at the age of 19, regardless of where they eventually gain the Level 2. The denominator is based on the Annual School Census figure for number attending all schools in the given LA at academic age 14 (including PRUs and independent schools). These denominators include the dual registered pupils in their main institution. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage qualified to NVQ2 and above (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 qualified to National Vocational Qualification (NVQ) level 2 or above. People are counted as being qualified to NVQ level 2 and above if they have achieved at least either 5 GCSEs grades A*-C (or equivalent, i.e., O levels, CSE Grade 1s), two A/S levels, or any equivalent or higher qualification in the Qualifications and Credit Framework. Data are from the Annual Population Survey (APS) which is a continuous household survey, covering the UK with a sample size of approximately 320,000 respondents. The data sets consist of 12 months of survey data and are broken down on a quarterly basis, qualification data is only available for calendar year survey periods, i.e. periods ending in December. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Number of doctor/GP locations per 1,000 population - WMCA

This metric is derived by the LGA (Local Government Association) from the CQC (Care Quality Commission's) Care Directory file. The file contains a complete list of the places in England where care is regulated by CQC. Using the National Statistics Postcode Lookup, we have counted the number of doctor/GP practices located in an area and then created a crude rate per 1,000 resident population. These services involve doctors working in premises, or a room, designated for medical consultation or minor medical treatments. Often the doctor will complete medical consultations, including physical examination and simple physiological measurement (such as blood pressure tests). They will discuss diagnosis and treatment options and may prescribe medicines for the person to take at home. They may also undertake minor invasive investigations or procedures, such as conscious endoscopy, in a treatment room designed for this purpose. There may be other healthcare professionals, for example practice nurses, supporting the work of the doctor. Examples of services that fit under this category: * Independent doctors consulting rooms * NHS GP practices * Slimming clinics * Early medical abortion clinics * Travel vaccination services * Polyclinics Data is extracted once a quarter and provides a snapshot in time. It should be noted that due to changes to postcodes, a small proportion cannot be matched to the latest National Statistics Postcode Lookup file and are therefore excluded from these figures. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage qualified to NVQ3 and above (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 qualified to National Vocational Qualification (NVQ) level 3 or above. People are counted as being qualified to NVQ level 3 or above if they have achieved either at least 2 A-levels grades A-E, 4 A/S levels graded A-E, or any equivalent (or higher) qualification in the Qualifications and Credit Framework. Data are from the Annual Population Survey (APS) which is a continuous household survey, covering the UK with a sample size of approximately 320,000 respondents. The data sets consist of 12 months of survey data and are broken down on a quarterly basis, qualification data is only available for calendar year survey periods, i.e. periods ending in December. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage qualified to NVQ1 and above (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 qualified to National Vocational Qualification (NVQ) level 1 or above. People are counted as being qualified to level 1 and above if they have achieved at least NVQ level 1 or any equivalent or higher qualification in the Qualifications and Credit Framework. Data are from the Annual Population Survey (APS) which is a continuous household survey, covering the UK with a sample size of approximately 320,000 respondents. The data sets consist of 12 months of survey data and are broken down on a quarterly basis, qualification data is only available for calendar year survey periods, i.e. periods ending in December. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Number of dental practices per 1,000 population - WMCA

This metric is derived by the LGA (Local Government Association) from the CQC (Care Quality Commission's) Care Directory file. The file contains a complete list of the places in England where care is regulated by CQC. Using the National Statistics Postcode Lookup, we have counted the number of dental practices located in an area and then created a crude rate per 1,000 resident population. These services involve registered dentists and dental care professionals usually working in premises designed for consultation and treatment, but they can also be provided in a person's place of residence. Consultations and examinations will involve discussion of the treatment options with the patient and may include dental radiography. Treatment is usually provided in a dedicated room and, in consultation with the patient, may be under local anaesthetic, or use a laser. Medicines may be prescribed as part of the treatment. Examples of services that fit under this category: * Primary care dental services (dentists on the high street, NHS funded, private or both) * Dental out-of-hours services Data is extracted once a quarter and provides a snapshot in time. It should be noted that due to changes to postcodes, a small proportion cannot be matched to the latest National Statistics Postcode Lookup file and are therefore excluded from these figures. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage within a 60-minute walk of their nearest rail station - WMCA

This is the percentage of people living less than a 30-minute walk of their nearest rail station. Travel time to Rail Stations analysis was performed in collaboration with the Ordnance Survey (OS). Distance and travel time analysis requires identification of origins and destinations, and a routable network from origin to destination. Destinations: Data are from the National Public Transport Access Nodes (NaPTAN) dataset, cross-validated against the Office for Rail and Road mainline stations. Only nodes with a status of active are included. The RLY and MET NaPTAN stop types are used for the geographical distribution of stations. Some stations within the NaPTAN dataset have been excluded from this analysis. For example, stations on heritage lines that have a seasonal service and stations having a parliamentary service. A walking speed of 4.8 kilometres per hour has been used. For routing analysis, a buffer from a destination is created using the OS Multi-modal Routable Network (MRN). This indicates which 100m grid squares lie within a one hour’s walk. The network generated by MRN is then used to calculate the travel time between each 100m grid and destination. If a grid square is within a catchment of multiple destinations, the shortest time is chosen. Population estimates are calculated using Output Area (OA) population data. By aggregating distances and travel times for entire OAs, the estimates aren't exact proportions of the larger area's population. This approach might result in identical proportions across different time bands and variables because the same OAs are included or excluded. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage qualified to NVQ4 and above (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 qualified to National Vocational Qualification (NVQ) level 4 or above. This covers people holding qualifications equivalent to National Qualifications Framework (NQF) levels 4-8. Level 4-6 qualifications include foundation or first degrees, recognised degree-level professional qualifications, teaching or nursing qualifications, diploma in higher education, HNC/HND or equivalent vocational qualification. Qualifications at level 7-8 include higher degrees, and postgraduate level professional qualifications. Data are from the Annual Population Survey (APS) which is a continuous household survey, covering the UK with a sample size of approximately 320,000 respondents. The data sets consist of 12 months of survey data and are broken down on a quarterly basis, qualification data is only available for calendar year survey periods, i.e. periods ending in December. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage within a 15-minute walk of their nearest library - WMCA

This is the percentage of people living less than a 15-minute walk of their nearest library. Travel time to libraries analysis was performed in collaboration with the Ordnance Survey (OS). Distance and travel time analysis requires identification of origins and destinations, and a routable network from origin to destination. Destinations: Data about libraries are from the Sites Dataset, within the Land Use theme of the OS NGD API Features database. This has been supplemented using data from: * Arts Council for England Basic Dataset for Libraries * CILIP Cymru Wales Public Libraries by Operator Dataset This analysis excludes prison, archive, and mobile libraries, as well as static libraries with less than 2 opening hours per week from the Arts Council for England dataset. The analysis contains the locations of static public libraries, accurate to May of the year of publication. A walking speed of 4.8 kilometres per hour has been used. For routing analysis, a buffer from a destination is created using the OS Multi-modal Routable Network (MRN). This indicates which 100m grid squares lie within a one hour’s walk. The network generated by MRN is then used to calculate the travel time between each 100m grid and destination. If a grid square is within a catchment of multiple destinations, the shortest time is chosen. Population estimates are calculated using Output Area (OA) population data. By aggregating distances and travel times for entire OAs, the estimates aren't exact proportions of the larger area's population. This approach might result in identical proportions across different time bands and variables because the same OAs are included or excluded. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage within a 15-minute walk of their nearest rail station - WMCA

This is the percentage of people living less than a 15-minute walk of their nearest rail station. Travel time to Rail Stations analysis was performed in collaboration with the Ordnance Survey (OS). Distance and travel time analysis requires identification of origins and destinations, and a routable network from origin to destination. Destinations: Data are from the National Public Transport Access Nodes (NaPTAN) dataset, cross-validated against the Office for Rail and Road mainline stations. Only nodes with a status of active are included. The RLY and MET NaPTAN stop types are used for the geographical distribution of stations. Some stations within the NaPTAN dataset have been excluded from this analysis. For example, stations on heritage lines that have a seasonal service and stations having a parliamentary service. A walking speed of 4.8 kilometres per hour has been used. For routing analysis, a buffer from a destination is created using the OS Multi-modal Routable Network (MRN). This indicates which 100m grid squares lie within a one hour’s walk. The network generated by MRN is then used to calculate the travel time between each 100m grid and destination. If a grid square is within a catchment of multiple destinations, the shortest time is chosen. Population estimates are calculated using Output Area (OA) population data. By aggregating distances and travel times for entire OAs, the estimates aren't exact proportions of the larger area's population. This approach might result in identical proportions across different time bands and variables because the same OAs are included or excluded. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage within a 30-minute walk of their nearest rail station - WMCA

This is the percentage of people living less than a 30-minute walk of their nearest rail station. Travel time to Rail Stations analysis was performed in collaboration with the Ordnance Survey (OS). Distance and travel time analysis requires identification of origins and destinations, and a routable network from origin to destination. Destinations: Data are from the National Public Transport Access Nodes (NaPTAN) dataset, cross-validated against the Office for Rail and Road mainline stations. Only nodes with a status of active are included. The RLY and MET NaPTAN stop types are used for the geographical distribution of stations. Some stations within the NaPTAN dataset have been excluded from this analysis. For example, stations on heritage lines that have a seasonal service and stations having a parliamentary service. A walking speed of 4.8 kilometres per hour has been used. For routing analysis, a buffer from a destination is created using the OS Multi-modal Routable Network (MRN). This indicates which 100m grid squares lie within a one hour’s walk. The network generated by MRN is then used to calculate the travel time between each 100m grid and destination. If a grid square is within a catchment of multiple destinations, the shortest time is chosen. Population estimates are calculated using Output Area (OA) population data. By aggregating distances and travel times for entire OAs, the estimates aren't exact proportions of the larger area's population. This approach might result in identical proportions across different time bands and variables because the same OAs are included or excluded. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Number of nursing homes per 1,000 population - WMCA

This metric is derived by the LGA (Local Government Association) from the CQC (Care Quality Commission's) Care Directory file. The file contains a complete list of the places in England where care is regulated by CQC. Using the National Statistics Postcode Lookup, we have counted the number of nursing homes located in an area and then created a crude rate per 1,000 resident population. A care home is a place where personal care and accommodation are provided together. People may live in the service for short or long periods. For many people, it is their sole place of residence and so it becomes their home, although they do not legally own or rent it. Both the care that people receive and the premises are regulated. In addition, qualified nursing care is provided to ensure that the full needs of the person using the service are met. Examples of services that fit under this category: * Nursing home * Convalescent home with nursing * Respite care with nursing * Mental health crisis house with nursing Data is extracted once a quarter and provides a snapshot in time. It should be noted that due to changes to postcodes, a small proportion cannot be matched to the latest National Statistics Postcode Lookup file and are therefore excluded from these figures. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.