AndreaBozzo/ceres-open-data-index huggingface dataset:
4G premises: signal from 2 operators - WMCA

This metric shows the proportion of residential and small business premises with a reliable 4G signal from two of the four mobile network operators (EE, Vodafone, O2 or Three). ie, for this proportion of the area only one network is available. For overall coverage see all operators metric. It has been produced by Ofcom, using data provided by mobile operators referenced against the Ordnance Survey of Great Britain (OSGB) Coordinate System, premises coverage is calculated from the postal delivery points taken from the Ordnance Survey AddressBase database. Mobile coverage produced by operators are based on theoretical models, calibrated using measurements of actual performance. However, consumers use mobile phones in many different situations - indoors, outdoors, on the move, in cars, as pedestrians along roads in built up areas and in wide open spaces all of which can affect coverage. Due to variations in mobile performance over time, the file should not be regarded as a definitive and fixed view of the UK's mobile infrastructure. However, the information provided in this file may be useful in identifying variations in mobile performance by geography. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage homes with broadband less than 2Mbit/s - WMCA

This metric shows the percentage of homes with broadband in an area currently not achieving 2Mbit/s speeds. It has been produced by Ofcom, using data provided by communications providers and is one of a series of measures Ofcom use to determine fixed broadband performance within an area. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
4G premises: signal from 1 operator - WMCA

This metric shows the proportion of residential and small business premises with a reliable 4G signal from one of the four mobile network operators (EE, Vodafone, O2 or Three). ie, for this proportion of the area only one network is available. For overall coverage see all operators metric. It has been produced by Ofcom, using data provided by mobile operators referenced against the Ordnance Survey of Great Britain (OSGB) Coordinate System, premises coverage is calculated from the postal delivery points taken from the Ordnance Survey AddressBase database. Mobile coverage produced by operators are based on theoretical models, calibrated using measurements of actual performance. However, consumers use mobile phones in many different situations - indoors, outdoors, on the move, in cars, as pedestrians along roads in built up areas and in wide open spaces all of which can affect coverage. Due to variations in mobile performance over time, the file should not be regarded as a definitive and fixed view of the UK's mobile infrastructure. However, the information provided in this file may be useful in identifying variations in mobile performance by geography. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage homes with broadband < 10Mbit/s - WMCA

This metric shows the percentage of homes with broadband in an area currently not achieving 10Mbit/s speeds. It has been produced by Ofcom, using data provided by communications providers and is one of a series of measures Ofcom use to determine fixed broadband performance within an area. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage Gigabit availability - WMCA

This metric shows the percentage of premises that have Gigabit capable services from fixed broadband. Gigabit-capable broadband means any technology that can deliver speeds of 1 gigabit per second (Gpbs). It has been produced by Ofcom, using data provided by communications providers and is one of a series of measures Ofcom use to determine fixed broadband performance within an area Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage reduction in road deaths and serious injuries, all - WMCA

Killed or Seriously Injured (KSI) Road Traffic Accidents Indicator: This indicator measures the percentage change in the number of people killed or seriously injured in road traffic accidents, based on a 3-year rolling average up to the current year. A positive figure indicates improved performance (i.e., a reduction in casualties compared to the previous 3-year period). Performance Target: For comparability, performance is also assessed against a target to reduce KSI numbers by 40% over 10 years. Scope: Includes people of all ages killed or seriously injured on the roads. Previously reported as NI 047. Definitions: * Fatal Casualties: Deaths occurring within 30 days of the accident (excluding confirmed suicides). * Seriously Injured Casualties: Injuries requiring hospitalisation or involving fractures, concussion, internal injuries, crushings, burns (excluding friction burns), severe cuts/lacerations, severe shock requiring medical treatment, or injuries causing death 30+ days after the accident. * Slight Injuries: Excluded from totals. Includes sprains (e.g., whiplash), bruises, minor cuts, or slight shock requiring roadside attention. Recording Practices: Police record injuries based on initial information, not medical examination. Hospitalisation practices vary regionally. Systems Used: Police forces use either CRaSH (Collision Recording and Sharing) or COPA (Case Overview Preparation Application). Estimates are based on police-reported figures. Data Comparability: Since 2016, changes in severity reporting systems affect comparability of serious and slight injury data. Both adjusted and unadjusted KSI statistics are available. Further Information: [Road Accidents and Considerations: Areas with low resident populations but high traffic inflows (e.g., City of London, rural tourist areas) may show artificially high rates. Heathrow Airport counts are included in London Region and England totals only.] Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage households in fuel poverty - WMCA

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 3rd of each month.
Percentage households in receipt of housing benefits - WMCA

This is the proportion of all households that are in receipt of housing benefit. Statistical disclosure control has been applied to this data which guards against the identification of an individual claimant. 0 or 0.00 denotes a nil or negligible number of claimants or award amount, based on 4 or fewer claimants. Household: 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). Figures are based on the claimant's place of residence. Claimants registered as living abroad or where the location is unknown are excluded. Housing Benefit claimant statistics are derived from the Single Housing Benefit Extract (SHBE), as at the second Thursday of each month. SHBE is compiled from monthly returns of housing benefit and council tax benefit claimants from each individual local authority. Recording and clerical errors can occur within SHBE - for this reason, no reliance should be placed on very small numbers obtained through Stat-Xplore. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage Universal Credit claimants in employment - WMCA

Proportion of people claiming Universal Credit who are in employment. This is based on the count of the number of people on Universal Credit on the second Thursday of each month (completed the Universal Credit claim process and accepted their Claimant Commitment) and have not had a closure of their claim recorded for this spell. A closure of their claim would be recorded either at the request of the individual or if their entitlement to Universal Credit ends, for example, if they no longer satisfy the financial conditions to receive Universal Credit as they have capital over the threshold. To allow sufficient time for earnings information to be gathered on all claimants, figures for the latest month in the series will not be available until the next release. Figures provided for starts show the Jobcentre Plus office recorded at the start of the claim, whereas the figures for the number of people on Universal Credit are representative of the current Jobcentre Plus office that the claimant is attending. It is possible for people to have started on Universal Credit in one office and have moved to another office during their claim, and for this reason, the number of people on Universal Credit can be higher than the starts figure for any particular office, however it is more noticeable when numbers are low. You may be eligible to get Universal Credit if you’re on a low income or out of work, 18 or over (there are some exceptions if you’re 16 to 17), you’re under State Pension age (or your partner is), you and your partner have £16,000 or less in savings between you, and you live in the UK. Universal Credit has replaced Jobseeker’s Allowance (JSA) for most people. It is still possible to claim JSA if you are 18 or over and under State Pension age. As long as you are actively looking for a full-time job and are out of work, or are working less than 16 hours a week. These standalone JSA claims are separately reported. Statistical disclosure control has been applied with Stat-Xplore, which guards against the identification of an individual claimant. 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) - Birmingham Constituency

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.
Percentage NEET (16-17 year olds) - WMCA

This is the number of 16 and 17 year olds who are not in education, employment, or training (NEET), expressed as a proportion of the number of 16 and 17 year olds known to the local authority (i.e. those who were educated in government-funded schools). Young adult offenders in custody are excluded from the denominator used to calculate participation, NEET and not known rates. The age of the learner is measured at the beginning of the academic year, 31 August. The annual figure is made from an average of December, January and February. This includes young people educated in other authority areas, students living away during term time. Young people who were not educated in the maintained sector will only be included if they are known to the LA. Since April 2018, the NCCIS management information requirement stated that LAs should record the activity of refugee/asylum seekers in the same way as the rest of the cohort. Prior to 2016 local authorities were required to also track 18 year olds but this requirement was lifted. Where a young person's current activity is recorded as any of the following then their activity at the end of the month is categorised as NEET: * Working not for reward * Not yet ready for work or learning * Start date agreed (RPA compliant or Other) * Seeking employment, education or training * Not available to labour market/learning - carer, teenage parent, illness, pregnancy, religious grounds, unlikely ever to be economically active. The following are included in the overall NEET/NK figures: * Current situation not known * Cannot be contacted/no current address * Refused to disclose activity. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Percentage NEET (inc not known) (16-17 year olds) - WMCA

This is the number of 16 and 17 year olds who are not in education, employment, or training (NEET) or their activity is not known, expressed as a proportion of the number of 16 and 17 year olds known to the local authority (i.e. those who were educated in government-funded schools). Young adult offenders in custody are excluded from the denominator used to calculate participation, NEET and not known rates. The age of the learner is measured at the beginning of the academic year, 31 August. The annual figure is made from an average of December, January and February. This includes young people educated in other authority areas, students living away during term time. Young people who were not educated in the maintained sector will only be included if they are known to the LA. Since April 2018, the NCCIS management information requirement stated that LAs should record the activity of refugee/asylum seekers in the same way as the rest of the cohort. Prior to 2016 local authorities were required to also track 18 year olds but this requirement was lifted. Where a young person's current activity is recorded as any of the following then their activity at the end of the month is categorised as NEET: * Working not for reward * Not yet ready for work or learning * Start date agreed (RPA compliant or Other) * Seeking employment, education or training * Not available to labour market/learning - carer, teenage parent, illness, pregnancy, religious grounds, unlikely ever to be economically active. The following are included in the overall NEET/NK figures: * Current situation not known * Cannot be contacted/no current address * Refused to disclose activity. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Gap in the employment rate between those with a long-term health condition and the overall employment rate - WMCA

The percentage point gap between the percentage of respondents in the Labour Force Survey who have a long-term condition who are classified as employed (aged 16-64) and the percentage of all respondents in the Labour Force Survey classed as employed (aged 16-64). Numerator for employment rate of people with a long-term condition: Number of people with a health problem or disabilities that they expect will last for more than a year (based on response to Q1 of Annual Population Survey (APS) ) and who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of people with a long-term condition: Number of people with a physical or mental health conditions or illness that they expect will last for more than a year (based on response to Q1 in APS) and are of working age (aged 16-64). Numerator for employment rate of population as a whole: Number of people who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of population as a whole: Number of people who are of working age (aged 16-64). The indicator is constructed by calculating the percentage points gap between the employment rate for those with a long-term condition and the population as a whole. Isles of Scilly value was unable to be calculated. Calculations is based on data that are estimates and are rounded to nearest 100. It is advised that estimates published prior to the April 2013 to March 2014 period should not be treated as a time series due to these discontinuities. Due to this change, data from 2013/14 cannot be compared with previous time points. As a consequence, the baseline for this indicator has been changed to 2013/14. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Employment rate (aged 16-64) - Birmingham Constituency

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+) - Birmingham Constituency

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.
Median gross annual pay of FT employees (resident) - WMCA

These figures show the median gross annual pay for full-time workers on a resident basis for the area, who are on adults rates of pay, and whose pay was not affected by absence. Figures are for GB pounds per annum. Full-time workers are defined as those who work more than 30 paid hours per week or those in teaching professions working 25 paid hours or more per week. Figures for earnings come from the Annual Survey of Hours and Earnings (ASHE) which is based on a 1 per cent sample of employees, information on whose earnings and hours is obtained from employers. The survey does not cover people who are self-employed, nor does it cover employees not paid during the reference period. Information relates to a pay period in April. The earnings information collected relates to gross pay before tax, national insurance or other deductions, and excludes payments in kind (i.e. payment made in the form of goods and services rather than cash). It is restricted to earnings relating to the survey pay period and so excludes payments of arrears from another period made during the survey period; any payments due as a result of a pay settlement but not yet paid at the time of the survey will also be excluded. Estimates for 2011 and subsequent years use a weighting scheme based on occupations which have been coded according to Standard Occupational Classification (SOC) 2010 that replaced SOC 2000. Therefore care should be taken when making comparisons with earlier years. Where the estimate is assessed with a coefficient of variation (CV) of over 20 per cent, these figures have been suppressed, as they are considered by the ONS as unreliable. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.
Median gross annual pay of FT employees (workplace) - WMCA

These figures show the median gross annual pay for full-time workers on a workplace basis for the area, who are on adults rates of pay, and whose pay was not affected by absence. Figures are for GB pounds per annum. Full-time workers are defined as those who work more than 30 paid hours per week or those in teaching professions working 25 paid hours or more per week. Figures for earnings come from the Annual Survey of Hours and Earnings (ASHE) which is based on a 1 per cent sample of employees, information on whose earnings and hours is obtained from employers. The survey does not cover people who are self-employed, nor does it cover employees not paid during the reference period. Information relates to a pay period in April. The earnings information collected relates to gross pay before tax, national insurance or other deductions, and excludes payments in kind (i.e. payment made in the form of goods and services rather than cash). It is restricted to earnings relating to the survey pay period and so excludes payments of arrears from another period made during the survey period; any payments due as a result of a pay settlement but not yet paid at the time of the survey will also be excluded. Estimates for 2011 and subsequent years use a weighting scheme based on occupations which have been coded according to Standard Occupational Classification (SOC) 2010 that replaced SOC 2000. Therefore care should be taken when making comparisons with earlier years. Where the estimate is assessed with a coefficient of variation (CV) of over 20 per cent, these figures have been suppressed, as they are considered by the ONS as unreliable. Data is [Powered by LG Inform Plus] and automatically checked for new data on the 3rd of each month.