AndreaBozzo/ceres-open-data-index huggingface dataset:
Percentage qualified to NVQ1 only (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 with highest qualification of National Vocational Qualification (NVQ) level 1. People are counted as being qualified to NVQ level 1 if they have fewer than 5 GCSEs at grades A-C, foundation GNVQ, NVQ 1, intermediate 1 national qualification (Scotland) or equivalent. 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 NVQ2 only (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 qualified to National Vocational Qualification (NVQ) level 2. People are counted as being qualified to NVQ level 2 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.
Percentage qualified to NVQ3 only (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 qualified to National Vocational Qualification (NVQ) level 3. People are counted as being qualified to NVQ level 3 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 of children at expected level in Literacy - WMCA

This is the proportion of children in the area at expected level in each of the Early Learning Goals (ELGs) within the Literacy area of the assessment. Literacy is one of the 4 specific areas of learning and covers the ELGs: Comprehension, Word reading, and Writing. The early years foundation stage (EYFS) profile is a teacher assessment of children’s development at the end of the EYFS, specifically the end of the academic year in which a child turns 5. This is typically the summer term of reception year. The EYFSP was introduced in 2012/13. As part of wider reforms to the EYFS, the EYFS profile was revised significantly in September 2021. Changes included revisions to all 17 ELGs across the 7 areas of learning, the removal of ‘exceeding’ assessment band, and the removal of statutory local authority moderation. It is therefore not possible to directly compare 2021/22 assessment outcomes with earlier years. The 2019/20 and 2020/21 collections were cancelled because of the COVID-19 pandemic. Teacher assessments cover all schools and early years providers with children registered for government-funded early years provision at the end of the EYFS. These include all state-funded schools and maintained nursery schools, children in private, voluntary and independent (PVI) providers, including childminders. Excludes a child who has not been assessed due to long periods of absence, for instance a prolonged illness, or arrived too late in the summer term for teacher assessment to be carried out, or for an exemption. Local authority district data are based on matching the postcode of the school or provider to the National Statistics Postcode Lookup (NSPL). Percentages may not sum to 100. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Current price (smoothed) GVA per hour worked (£) - WMCA

This is the smoothed gross value added (GVA) per hour worked in pounds at current prices, generated from enterprises in the area, calculated using a balanced approach to GVA. Labour productivity is calculated by dividing output GVA by a measure of labour input, in this case total hours worked. The balanced GVA(B) data used in this release are measured in current prices, which includes the effect of inflation. it is not possible to differentiate between the effects of price changes and quantity changes across time. Data are smoothed using a weighted 5-year moving average to reduce volitivity in the data that rises from small sample surveys. GVA estimates are on a workplace basis, that being they are allocated to where the economic activity took place. Please note, figures can be volatile due to sampling. Therefore where there are erratic movements in the time series, caution should be used in interpreting the data. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
No. of Homes for Ukraine (arrivals) - WMCA

Resettlement is the transfer of refugees from the country in which they have sought refuge to another State that has agreed to admit them. The UNHCR identifies refugees registered with them and assesses their protection needs. Those determined by UNHCR to be in need of resettlement may be referred to the UK for consideration. Resettlement is provided as a durable solution when integration in the host country or a safe return to a person’s country of origin is not possible. The Ukraine Sponsorship Scheme allows Ukrainian nationals and their family members to come to the UK if they have a named sponsor who can provide accommodation. The Ukraine Sponsorship Scheme allows Ukrainian nationals and their family members to come to the UK if they have a named sponsor who can provide accommodation. This is the number of visas issued to come to or stay in England, Scotland, Wales or Northern Ireland under the Homes for Ukraine Sponsorship Scheme, collated for operational purposes by the Home Office and Ministry of Housing, Communities and Local Government. The Sponsorship Scheme is for visa applications from Ukrainians who wish to travel to the UK and who have named people in the UK willing to sponsor them. The Homes for Ukraine data have been assigned to local authorities or country based on the postcode of the sponsor’s address, or of the accommodation address if the applicant is not planning to stay at the sponsor’s address. The data shows the number of arrivals into the UK, but is not necessarily reflective of the persons having arrived at the location noted in the table. It is not wholly comparable with the Afghan and Asylum data, which measure stock population (the number of people in the LA on the last day of the quarter). Some beneficiaries have indicated that either the Scottish Government or Welsh Government are their sponsor under the devolved government sponsor (also known as ‘supersponsor’) element of the scheme. This is where Welsh and Scottish governments have undertaken to match beneficiaries without a named sponsor at the point of application, to a suitable sponsor in due course. Consequently, beneficiaries under the 'supersponsor' schemes are not included in this data as they have no known location on their visa applications." Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage with no qualifications (aged 16-64) - WMCA

This shows the proportion of the population aged 16 to 64 with no formal 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.
No. of killed or seriously injured road casualties (adjusted annual) - WMCA

This is the number of people of all ages killed or seriously injured (KSI) in road traffic accidents, in an area, adjusted. This indicator includes only casualties who are fatally or seriously injured and these categories are defined as follows: Fatal casualties are those who sustained injuries which caused death less than 30 days after the accident; confirmed suicides are excluded. Seriously injured casualties are those who sustained an injury for which they are detained in hospital as an in-patient, or any of the following injuries, whether or not they are admitted to hospital: fractures, concussion, internal injuries, crushings, burns (excluding friction burns), severe cuts and lacerations, severe general shock requiring medical treatment and injuries causing death 30 or more days after the accident. An injured casualty is recorded as seriously or slightly injured by the police on the basis of information available within a short time of the collision. This generally will not reflect the results of a medical examination, but may be influenced according to whether the casualty is hospitalised or not. Hospitalisation procedures will vary regionally. Slight injuries are excluded from the total, such as a sprain (including neck whiplash injury), bruise or cut which are not judged to be severe, or slight shock requiring roadside attention. Police forces use one of two systems for recording reported road traffic collisions; the CRaSH (Collision Recording and Sharing) or COPA (Case Overview Preparation Application). Estimates are calculated from figures which are as reported by police. Since 2016, changes in severity reporting systems for a large number of police forces mean that serious injury figures, and to a lesser extent slight injuries, are not comparable with earlier years. As a result, both adjusted and unadjusted killed or seriously injured statistics are available. Further information about the reporting systems can be found [here]. Areas with low resident populations but have high inflows of people or traffic may have artificially high rates because the at-risk resident population is not an accurate measure of exposure to transport. This is likely to affect the results for employment centres e.g. City of London and sparsely populated rural areas which have high numbers of visitors or through traffic. Counts for Heathrow Airport are included in the London Region and England totals only. From the publication of the 2023 statistics onwards, casualty rates shown in table RAS0403 to include rates based on motor vehicle traffic only. This is because the department does not consider pedal cycle traffic to be robust at the local authority level. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage of children in absolute low income families: Aged 0-15 - Birmingham Wards

This is the proportion of children aged under 16 (0-15) living in families in absolute low income during the year. The figures are based on the count of children aged under 16 (0-15) living in the area derived from ONS mid-year population estimates. The count of children refers to the age of the child at 30 June of each year. Low income is a family whose equivalised income is below 60 per cent of median household incomes. Gross income measure is Before Housing Costs (BHC) and includes contributions from earnings, state support, and pensions. Equivalisation adjusts incomes for household size and composition, taking an adult couple with no children as the reference point. For example, the process of equivalisation would adjust the income of a single person upwards, so their income can be compared directly to the standard of living for a couple. Absolute low income is income Before Housing Costs (BHC) in the reference year in comparison with incomes in 2010/11 adjusted for inflation. A family must have claimed one or more of Universal Credit, Tax Credits, or Housing Benefit at any point in the year to be classed as low income in these statistics. Children are dependent individuals aged under 16; or aged 16 to 19 in full-time non-advanced education. The count of children refers to the age of the child at 31 March of each year. Data are calibrated to the Households Below Average Income (HBAI) survey regional estimates of children in low income but provide more granular local area information not available from the HBAI. For further information and methodology on the construction of these statistics, visit [this link]. Totals may not sum due to rounding. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage of children in absolute low income families: Aged 0-15 - WMCA

This is the proportion of children aged under 16 (0-15) living in families in absolute low income during the year. The figures are based on the count of children aged under 16 (0-15) living in the area derived from ONS mid-year population estimates. The count of children refers to the age of the child at 30 June of each year. Low income is a family whose equivalised income is below 60 per cent of median household incomes. Gross income measure is Before Housing Costs (BHC) and includes contributions from earnings, state support, and pensions. Equivalisation adjusts incomes for household size and composition, taking an adult couple with no children as the reference point. For example, the process of equivalisation would adjust the income of a single person upwards, so their income can be compared directly to the standard of living for a couple. Absolute low income is income Before Housing Costs (BHC) in the reference year in comparison with incomes in 2010/11 adjusted for inflation. A family must have claimed one or more of Universal Credit, Tax Credits, or Housing Benefit at any point in the year to be classed as low income in these statistics. Children are dependent individuals aged under 16; or aged 16 to 19 in full-time non-advanced education. The count of children refers to the age of the child at 31 March of each year. Data are calibrated to the Households Below Average Income (HBAI) survey regional estimates of children in low income but provide more granular local area information not available from the HBAI. For further information and methodology on the construction of these statistics, visit [this link]. Totals may not sum due to rounding. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Average monthly private sector rent for a 1 bed property - WMCA

This is the mean (average) gross monthly rent in pounds for properties with one bedroom on the private rental market for the area, over a 12 month period. These are self-contained properties including houses, bungalows, flats and maisonettes. These statistics taken from the Valuation Office Agency (VOA) administrative database are simple price averages rounded to the nearest £1. The sample used to produce these statistics is not statistical and may not be consistent over time; as such, these data should not be compared across time periods or between areas. Housing Benefit claimants are not included in the sample. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Incidence of Tuberculosis (TB) per 100,000 population - WMCA

The three-year average incidence of TB per 100,000 population is calculated by dividing the numerator (the number of TB notifications in the 3-year period) by the denominator (the sum of the mid-year population estimates for the same 3-year period) and multiplying by 100,000. Data for all previous years are updated using the most recent TB notification dataset. This update means that the values for a given area and year may be different (either smaller or larger) when compared to what has been shown on this profile in the past. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Fly-tipping incidents per 1,000 people - WMCA

This is the number of fly-tipping incidents per 1,000 people, based on ONS mid-year population estimates. Fly-tipping statistics are taken from the WasteDataFlow database. Fly-tipping is the illegal deposit of waste on land, contrary to Section 33(1)(a) of the Environmental Protection Act 1990. Local authorities and the Environment Agency both have a responsibility in respect of illegally deposited waste. This includes local authorities and the Environment Agency collecting and reporting data on fly-tipping in their area, this dataset however, only includes LA collected data. Due to varying levels of estimation between councils and years, some caution is needed in the interpretation of the trends. Direct comparison between local authorities may also not be appropriate as there can be some differences in approach, where there is a level of discretion in using the guidance on reporting. The situation is complex and can be influenced by population density, housing stock, demographics, commuter routes, the rigour with which local authorities identify incidents or encourage the public to report incidents, training of street crews, and increased use of more sophisticated methods for capturing and reporting incidents. Therefore, in assessing the figures local authorities should not be classified as 'good' or 'poor' performers based purely on numbers of fly-tips. Fly-tipping returns for some local authorities may be missing, incomplete or found to contain errors during Defra's quality assurance process. In these cases, some or all of the annual figures may be unavailable for those local authorities. However, in order to maintain trends over time for the aggregated totals, estimates may be made for these figures that will be included in the published totals, but not made available in the local authority breakdown. For this reason, the England totals may be higher than the sum of regional totals and the sum of individual local authorities. For the 2019/20 incident data onwards there has also been a change in methodology, whereby the national totals are based on the data as reported by local authorities in "WasteDataFlow" and only include estimates for non-response. Comparisons with earlier years should not be made and are shown for reference. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Additional affordable homes provided as a percentage of all net additional homes - WMCA

This has been derived based on net additional homes provided and the number of affordable homes delivered. This expresses a simple count of affordable housing units provided - newly built, including gains from conversions such as subdivision, and acquisitions, as a percentage of the net increase in overall dwelling stock over one year, calculated as the sum of new build completions, minus demolitions, plus any gains or losses through change of use and conversions. Net additions does not include new delivery and acquisitions to the existing stock. Affordable housing is the sum of social rent, affordable rent, intermediate rent (including London Living Rent), affordable home ownership, shared ownership, London affordable rent and First Homes. This should be considered alongside the actual numbers reported for affordable dwellings and overall new dwellings, however as these are given as absolute values for each area care should be taken when drawing any comparisons with other areas. Some percentages therefore may be over 100%. New build figures are from the annual 'housing supply; net additional dwellings' statistical release may not correspond to new build data from the quarterly 'Housing supply: indicators of supply' building control reported completions statistical release. New build data collected for 'net additions dwellings' is more comprehensive, as this collection is over a longer time period, is based on all available evidence (e.g., site visits, council tax records, planning databases, building control records and any other sources), and may pick up some elements missing from the quarterly P2 and AIR collections (which are based on building control reported completions only). Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
E. coli bacteraemia case counts and rates of community-onset, by Sub ICB Location (SICBL) and month

Laboratory confirmed cases of E. colibacteraemia. Data is available by Sub ICB ([Integrated Care Board]) location. ## Rationale Escherichia coli (E. coli) is a Gram-negative bacterium and has been the predominant cause of bacteraemia in England, Wales, and Northern Ireland, overtaking those caused by S. aureus (a Gram-positive bacterium), since 2003. Following a year-on-year increase in Gram-negative bacteraemia, as reported to PHE via the voluntary surveillance system (44% increase among E. coli bacteraemia alone between 2003 and 2011, from 16,542 to 29,777 voluntary reports), and a recommendation from the government advisory group Advisory Committee on Antimicrobial Resistance and Healthcare Associated Infections to commence E. coli bacteraemia surveillance, the Department of Health mandated NHS acute Trusts to report patient-level data on episodes of E. coli bacteraemia to PHE through the established enhanced mandatory surveillance Data Capture System from June 2011. ## Definition of numerator All cases of E. coli meeting the 'Definition' section above occurring for the past 11 months are summed with the current month to give a rolling 12-month total. For the calculation of rates, the past 11 months are summed with the current month and the denominator is the sum of the bed-days (for trusts) or population (for CCGs) for the current month and preceding 11 months. The rate for a month is then calculated by dividing the numerator by the denominator and multiplying by 100,000 to give a manageable value. ## Definition of denominator Denominator values are calculated as an annual rolling sum. For any given month, the denominator includes the value for the population for a given geography for that month and the 11 preceding months. ## Caveats These data do not provide a basis for decisions on the clinical effectiveness of infection control interventions in individual Trusts: further investigations considering potential confounders would need to be undertaken before this could be done. Nor do these data provide a basis for comparisons between acute Trust or SICBLs. Rate information, using rate calculations as currently defined, is not appropriate for comparison. The counts of infections have not been adjusted to give a standardised rate considering factors such as organisational demographics or case mix. Rate information is of use for comparison of an individual organisation over time. ‘All reported cases’ refers to all E. coli-positive blood cultures reported by the Trust whose laboratory processes the specimen. It is important to note that this does not necessarily imply that the infection was acquired there. Cases that the UKHSA's HCAI Data Capture System attributes to a commissioning hub (such as the national commissioning hub, 13Q, or one of the regional Health & Justice commissioning hubs) are not featured in sub ICB Location dashboards but they do still contribute to the highest spatial level—the England national total. This means the England case total may be slightly higher than the sum of all sub ICB Location cases.