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**Latest London Region Data** and trends for a number of core indicators of the health of London's labour market. - [Download the London data in an Excel file](https://londondatastore-upload.s3.amazonaws.com/Indicators_London_Region_Nov14.xls) **Latest core indicators at a glance** - [Download as a PDF](https://londondatastore-upload.s3.amazonaws.com/Scorecard_Nov14.pdf) [](https://londondatastore-upload.s3.amazonaws.com/Scorecard_Nov14.pdf) **Indicator data for all boroughs** Here is the latest reliable skills and employment data that exists for London boroughs and sub-regions. It covers the last three years, where possible, to show the latest figures and trends over time. - [Download the borough data in an Excel file](https://londondatastore-upload.s3.amazonaws.com/Indicators_London_Borough_Data_Nov14.xls) Core Indicators ------------------------ Number of London residents of working age in employment Employment rate Number of male London residents of working age in employment Male employment rate Number of female London residents of working age in employment Female employment rate Workforce jobs Jobs density Number of London residents of working age who are economically inactive Economic inactivity rate Number of London residents aged 16+ who are unemployed (model based) Proportion of London residents aged 16+ who are unemployed (model based) Claimant unemployment Claimant Count as a proportion of the working age population Incidence of skill gaps (Numbers and rates) GCSE (5+ A*–C) attainment including English and Maths Number of working age people in London with no qualifications Proportion of working age people in London with no qualifications Number of working age people in London with Level 4+ qualifications Proportion of working age people in London with Level 4+ qualifications Number of people of working age claiming out of work benefits Proportion of the working age population who claim out of work benefits Number of young people aged 16-18 who are not in employment, education or training (NEET) Proportion of 16-18 year olds who are NEET Additional Indicators ------------------------------ **Economy and Productivity** Business Demography (active enterprises, births and deaths of enterprises) Business Demography (active enterprises, births and deaths of enterprises): Index Business Demography (National indicators) **Demand for labour: Jobs, vacancies and skills needs** Total vacancies reported by employers Skill shortage vacancies JobCentre vacancies - notified JobCentre vacancies - unfilled Number employed by industry (working age) Employment rates by industry (working age) Number employed by occupation Employment rates by occupation Working age who are self-employed Numbers employed in the civil service **Population and supply of labour** Population estimates (working age) National Insurance Number Registrations of overseas nationals Employment projections Number employed by ethnic groups (working age) Employment rates by ethnic groups (working age) Number employed by age groups Employment rates by age groups Number employed by disability (working age) Employment rates by disability (working age) Employment: Part time/ Full time Inactivity by reason (working age) Inactivity rates by reason (working age) JSA claimants by ethnic groups Incapacity Benefit claimants by duration Working age benefit claimants by statistical group Aged 18-24, claiming JSA for over 6 months Aged 18-24, claiming JSA for over 9 months Aged over 25, claiming JSA for over 1 year JSA claimant flows JSA claimant flows: index **Skills and learning** Total achieving 5+ A*-C grades inc. English & Mathematics by characteristics Percentage achieving 5+ A*-C grades inc. English & Mathematics by characteristics GCE A level examination results of 16-18 year olds Working age population by qualification level and sex Working age rates by qualification level and sex Qualification levels of those in employment (working age) Number with no adult learning (working age) Proportion with no adult learning (working age) Received job related training in last 13 wks (working age) Apprenticeship Programme starts and achievements - summary Apprenticeship Programme starts and achievements - index Apprenticeship Programme starts by level and age Apprenticeship Programme achievements by level and age Number of 19 year olds qualified to Level 3 Proportion of 19 year olds qualified to Level 3 **Worklessness and NEETS** Worklessness by sex and age (working age) Worklessness rates by sex and age (working age) Worklessness numbers and rates by qualification levels (working age) Within the borough spreadsheet, statistics are shown for boroughs, inner London, outer London, Thames Gateway London, Olympic Host Boroughs, West London, and West London Alliance. Further Labour Market Indicator tools are available from the [CESI website](http://www.cesi.org.uk/statistics/tools).  

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Number and percentage of [residents aged 16-64 who are in employment](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/employment-rates-region-quarters-since1992.xls) by sex (000's) (Seasonally adjusted), for rolling quarters since 1992 by region and country. The figures in this dataset are adjusted to compensate for seasonal variations in employment. Figures are released every month for rolling quarters. Data from ONS Table HI00. The data are taken from the Labour Force Survey and Annual Population Survey, produced by the Office for National Statistics. [Click here to visit the Regional labour market statistics pages from the Office for National Statistics](http://www.ons.gov.uk/ons/rel/subnational-labour/regional-labour-market-statistics/index.html "Regional labour market statistics")

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[Life expectancy at birth and age 65 by sex](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/life-expectancy-birth-over65-borough.xls). Data for 2000-2002 to 2008-2010 revised on 24 July 2013. Local authorities based on boundaries as of 2010. England and Wales figures - non-resident deaths included. Figures given for 3 combined years to increase reliability at local levels. Relevant links: http://www.ons.gov.uk/ons/rel/subnational-health4/life-expec-at-birth-age-65/index.html Download more from [ONS website](http://www.ons.gov.uk/ons/rel/subnational-health4/life-expectancy-at-birth-and-at-age-65-by-local-areas-in-england-and-wales/index.html)

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**TFL's key London Underground performance measures (since May-11).** The key measures of underground performance contained in the Excel spreadsheet are: Total operated kilometres, Total number of lost customer hours (all causes), Average excess journey time, and Percentage of scheduled operated. More indicators are available from the TFL monthly performance data [Almanac](http://www.tfl.gov.uk/corporate/publications-and-reports/underground-services-performance). Also available from TFL are a [list of tube stations](http://www.tfl.gov.uk/cdn/static/cms/documents/multi-year-station-entry-and-exit-figures.xls) containing passenger entry and exit statistics. London Underground conducts surveys each year. We count the number of people using our service, where they travel to and from and how long their journeys last. TFL also monitor performance and assets, measuring how far trains have travelled and how many trains, lifts and escalators are in service. TFL are committed to providing passengers with details of how well the network is working and regularly publish a performance update. This is updated every four weeks - defined as a period - and gives figures for a range of service and network-related matters. The following information is provided on the TfL website: 1) A PDF report of the latest periods performance 2) Spreadsheet reports (almanac) of historic performance data dating back to 2002 There are also links to other reports of interest (station entry/exit figures, Tube upgrade plan and Quarterly Investment Programme reports). This data package is similar to the [information previously made available on the Datastore as part of a London Assembly Scrutiny investigation](http://data.london.gov.uk/dataset/tube-network-performance-data-transport-committee-report) in 2011.

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Second annual educational performance report for London. Go to http://data.london.gov.uk/gla-publications/annual-london-education-report-2014/ to see the data behind the report.

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[Mix-adjusted house prices]( https://londondatastore-upload.s3.amazonaws.com/ons-monthly-house-prices-london.xls), by new/pre-owned dwellings, type of buyer (first time buyer) and region, from February 2002 for London and UK, and average mix-adjusted prices by UK region. The data published in these tables are based on a sub-sample of RMS data. These results will therefore differ from results produced using full sample data. For further information please contact the ONS using the contact details below. House prices, mortgage advances and incomes have been rounded to the nearest £1,000. Data taken from Table 2 and Table 9 of the monthly ONS release. The weights used for mix-adjustment change at the start of each calendar year (i.e. in January). The mix-adjusted prices are therefore not comparable between calendar years, although they are comparable within each calendar year. If you wish to calculate change between years, you should use the mix-adjusted house price index, available in Table 33. Download from [ONS website](http://www.ons.gov.uk/ons/taxonomy/index.html?nscl=House+Price+Indices)

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[Statistics on mortgage and landlord possession](https://londondatastore-upload.s3.amazonaws.com/dataset/mortgage-and-landlord-possession-actions-borough/mortgage-landlord-possession-actions.xls) actions in the county courts of England and Wales, since 2003. Quarterly Mortgage and landlord possession statistics from Ministry of Justice are available [here](https://www.gov.uk/government/collections/mortgage-and-landlord-possession-statistics"Mortgage and landlord possession statistics"). Figures represent court actions for possession and **not** actual homes repossessed. Repossessions can occur without a court order being made, while not all court orders result in repossession taking place. The data provided in each of the tables relate to possession claims issued and claims leading to an orders being made in the county courts in England and Wales. **Claims Issued:** A possession claim is created when a claimant begins a legal action for an order for possession of property by making a claim that is then issued in a county court. **Orders:** The court, following a judicial hearing may grant an order for immediate possession. This entitles the claimant to apply for a warrant to have the defendant evicted, except in the case of suspended orders where the order is suspended as long as the defendant complies with conditions specified in the order. **Warrants:** Having received an order, or if the terms of a suspended order are broken, the claimant can apply for a warrant of possession. **Possessions: **Once a warrant has been issued, county court bailiffs can repossess the property on behalf of the claimant. Note: Previously, the figures presented in this dataset were claims that lead to orders, claims that lead to warrants, and claims that lead to repossessions. This counted the number of orders, warrants or repossessions that are unique to a claim, so that if one claim had two or more orders only the first was counted. In the current version of this dataset, they have been replaced with the total number of orders, warrants, and repossessions. Ward level data for 2011 also available from the MoJ website [here.](http://www.justice.gov.uk/downloads/statistics/civiljustice/posssession-orders-pcon-ward.xls)

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Vehicles seen in the Congestion Charge Zone by month since July 2010. Total number of unique vehicles seen in the Congestion Charge Zone during charging hours. The count is of unique vehicles per day which are added up to provide the number in the month. This means if the same car is seen more than once on a single day, it is only counted once. Drop from Jan 2011 is due to removal of Western Extension. Monthly fluctuations are as a direct result of the number of Congestion Charging days each month and seasonal trends (i.e. school holidays).

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This dataset provides information about earnings of employees who are working in an area, who are on adult rates and whose pay for the survey pay-period was not affected by absence. [Tables](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/earnings-workplace-borough.xls) provided here include total gross weekly earnings, and full time weekly earnings with breakdowns by gender, by borough and UK region. Annual Survey of Hours and Earnings (ASHE) is based on a sample of employee jobs taken from HM Revenue & Customs PAYE records. Information on earnings and hours is obtained in confidence from employers. ASHE does not cover the self-employed nor does it cover employees not paid during the reference period. The earnings information presented relates to gross pay before tax, National Insurance or other deductions, and excludes payments in kind. The confidence figure is the coefficient of variation (CV) of that estimate. The CV is the ratio of the standard error of an estimate to the estimate itself and is expressed as a percentage. The smaller the coefficient of variation the greater the accuracy of the estimate. The true value is likely to lie within +/- twice the CV. Results for 2003 and earlier exclude supplementary surveys. In 2006 there were a number of methodological changes made. For further details goto : http://www.nomisweb.co.uk/articles/341.aspx. The headline statistics for ASHE are based on the median rather than the mean. The median is the value below which 50 per cent of employees fall. It is ONS's preferred measure of average earnings as it is less affected by a relatively small number of very high earners and the skewed distribution of earnings. It therefore gives a better indication of typical pay than the mean. Survey data from a sample frame, use caution if using for performance measurement and trend analysis '#' These figures are suppressed as statistically unreliable. ! Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2). Furthermore, data from Abstract of Regional Statistics, New Earnings Survey and ASHE have been combined to create long run series of full-time weekly [earnings data for London and Great Britain, stretching back to 1965](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/long-run-earnings-London-GB-1965.xls), and is broken down by sex.

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[Selected key performance indicators on the TFL Road Network.](https://londondatastore-upload.s3.amazonaws.com/tfl-surface-transport.xls) Number of hours of Serious and Severe Disruption on the road network by planned and unplanned status, journey time reliability, and total number of works undertaken on the road network. TLRN = TFL Road Network The maximum permissible total number of road works allowed on the TLRN has been capped at 3,753 in any one period - from period 7 of 2011/12 till the end of the financial year 2012/13, a reduction of 10% from the cap of 4,170 that applied to the first 6 periods of 2011/12. The key measure for monitoring smoothing traffic flow is journey time reliability. It is defined as the percentage of journeys completed within an allowable excess of 5 minutes for a standard 30 minute journey during the AM peak. * Serious congestion. There is traffic congestion that is unusual for the time of day at the location or in an area and traffic has been stopped for less than 5 minutes - but in excess of the red signal time displayed on the traffic signals operating on the road. * Severe congestion. There is traffic congestion that is unusual for the time of day at the location or in an area and traffic has been stopped for more than 5 minutes; and traffic queuing is longer than normal for the time of day, more than for ‘serious’ congestion. TFL also publish annual reports on road safety [here](http://www.tfl.gov.uk/corporate/about-tfl/investorrelations/1460.aspx).

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[Gross earnings per head](https://londondatastore-upload.s3.amazonaws.com/earnings-residence-borough.xls): by place of residence from the Annual Survey of Hours and Earnings (ASHE), ONS. This data set provides information about earnings of employees who are living in an area, who are on adult rates and whose pay for the survey pay-period was not affected by absence. ASHE is based on a sample of employee jobs taken from HM Revenue & Customs PAYE records (177,000 returns in 2009). Information on earnings and hours is obtained in confidence from employers. ASHE does not cover the self-employed nor does it cover employees not paid during the reference period. The earnings information presented relates to gross pay before tax, National Insurance or other deductions, and excludes payments in kind. The confidence figure is the coefficient of variation (CV) of that estimate. The CV is the ratio of the standard error of an estimate to the estimate itself and is expressed as a percentage. The smaller the coefficient of variation the greater the accuracy of the estimate. The true value is likely to lie within +/- twice the CV. Results for 2003 and earlier exclude supplementary surveys. In 2006 there were a number of methodological changes made. For further details goto : http://www.nomisweb.co.uk/articles/341.aspx. The headline statistics for ASHE are based on the median rather than the mean. The median is the value below which 50 per cent of employees fall. It is ONS's preferred measure of average earnings as it is less affected by a relatively small number of very high earners and the skewed distribution of earnings. It therefore gives a better indication of typical pay than the mean. The best figure to use for comparing earnings for men and women, is the hourly earnings excluding overtime. Including overtime can distort the picture as men work relatively more overtime than women. Survey data from a sample frame, use caution if using for performance measurement and trend analysis '#' These figures are suppressed as statistically unreliable. ! Estimate and confidence interval not available since the group sample size is zero or disclosive (0-2). Visit [ONS website] (http://www.ons.gov.uk/ons/rel/ashe/annual-survey-of-hours-and-earnings/index.html)

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Total number of hires of the Barclays Cycle Hire Scheme, by day, month and year. Data for each day since the launch on 30 July 2010.

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[Cycle flows](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/tfl-cycle-flows-tlrn.xls) on the Transport for London Road Network (TLRN). The purpose of this indicator is to assess the level of cycle use on the TLRN. The overall ambition is to increase cycling levels by 400% such that by 2025 cycling will equate to a 5% mode share of all journey trips. This indicator does not represent cycling across London as a whole, It only represents cycling on the 5% of London’s roads that are the TLRN. The indicator is presented as an indexed flow relative to a baseline of March 2000 (a flow level that is represented as 100 on the index). Definition: Sixty automatic cycle counters on the TLRN provide sample counts of cyclists using the network. The indicator converts these counts into an index that is used to represent increases in cycle flows on the TLRN over time. It does not represent the total number of cyclists in London. Automatic cycling counters are pieces of monitoring equipment that emit a magnetic field that detects the presence of a moving cycle. Cycling data is collected monthly using telemetry. This is the process whereby live data is wired down a communication line. The data is sent directly to a database. A summary of the data is then forwarded to the Head of the Performance Monitoring Team each period via e-mail. With the future growth of cycling expected to take place not only on the TLRN, but on all the capital’s roads, TfL has developed a new methodology for recording cycling journeys that will run in parallel with the existing cycling index. At the current phase of development, monitoring using this metric is restricted to the central London congestion. Based on this metric, a daily average of 402,199 kilometres – or 131,000 cycle journeys - were cycled during the first Quarter of 2014. The Mayor published his Vision for Cycling in March 2013, outlining plans to spend £913m on cycling improvements over the next 10 years, with a gross budget of £107m in 2014/15.

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[Monthly London Ambulance Service call out data](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/ambulance-incidents-ward-monthly.xls) by type of incident and ward area. This excel file contains numbers for ambulance calls for each borough in London including: All incidents attended, All assault incidents attended, Assaults on women, Assaults on teenagers, Gun injuries, Knife injuries, All weapon injuries, Animal injuries, Binge drinking (alcohol poisoning where patient aged under 40), Cocaine, and Heroin overdoses Volumes are derived by searching a database holding the records of all ambulances despatched in London. The records consist of data collected by paramedics or other ambulance staff, who record retrospectively if they believe an assault to have taken place. They also collect data on whether a weapon was used, or if the attended patient is suffering from an alcohol related illness. Each record has information from the 999 Call Handler. This can include data on specific type of weapon is collected. This is how we derive gun or knife injury as well heroin or cocaine overdose. From time to time the data collected may not be an accurate representation of the actual event. However the data is relevant for understanding broad patterns in different types of crime and disorder nonetheless. The number of incidents where a animal bite injury has been reported to the ambulance service. This data is filtered to include only bites from large animals (there are no specific data on dog bites, however the data is used to derive broad trends on dog issues.) The number of incidents where the ambulance service have attended someone suffering from an alcohol related illness. **Focussing on patients under 40 allows broad trends in Binge Drinking to be identified.** Older age groups may be more likely to be attended by the ambulance service for longer term alcohol related health issues.

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**Part of Release: Official Sub-Ward, Ward and Borough level crime counts.** Choose from the three data sets (‘Sub-Ward data’, ‘Ward data’ or ‘Borough data’) according to your requirements. **This page contains the ward level data files** Click here for corresponding LSOA level data: **[Recorded Crime Summary Data for London: LSOA Level](/datastore/package/recorded-crime-summary-data-london-lsoa-level)** ****Click here for corresponding ward level data: [Recorded Crime Summary Data for London: Ward Level](/datastore/package/recorded-crime-summary-data-london-ward-level) Choose from the three data sets (‘Sub-Ward data’, ‘Ward data’ or ‘Borough data’) according to your requirements. ‘Sub-Ward data’ counts the number of crimes in each sub ward area of London (Census Lower Super Output Area or LSOA) per month according to crime type. Use this data if you need to analyse crime data at a sub ward level. Because not all crimes can be matched to a specific LSOA area, you should not use this data set to count crimes by ward or borough. For these purposes use one of the other datasets according to the level of geographic precision you need. ‘Ward data’ counts the number of crimes in each ward area of London per month, according to crime type. Use this data if you need to analyse crime data according to the location of geographic wards. Because not all crimes can be matched to a ward area, you should not use this data set to count crimes by borough. For this purpose use one of the Borough level dataset provided. ‘Borough data’ counts the number of crimes in each borough area of London per month, according to crime type. Each of the data sets will contain the latest two years of data available. The categories of crime counts within them may change from time to time. Below is a list of the crime types you can currently extract (*only at borough or ward level): **Minor Category: Major Category ** Murder: ViolenceAgainstThePerson CommonAssault: ViolenceAgainstThePerson OffensiveWeapon: ViolenceAgainstThePerson Harassment: ViolenceAgainstThePerson Otherviolence: ViolenceAgainstThePerson AssaultWithInjury: ViolenceAgainstThePerson WoundingGBH: ViolenceAgainstThePerson *Rape: SexualOffences *OtherSexual: SexualOffences PersonalProperty: Robbery BusinessProperty: Robbery BurglaryInADwelling: Burglary BurglaryInOtherBuildings: Burglary TheftOrTakingOfMotor: TheftAndHandling TheftFromMotor: TheftAndHandling MotorInterferenceAndTampering: TheftAndHandling TheftFromShops: TheftAndHandling TheftOrTakingOfPedalCycles: TheftAndHandling OtherTheftPerson: TheftAndHandling OtherTheft: TheftAndHandling HandlingStolenGoods: TheftAndHandling *CountedPerVictim: FraudOrForgery *OtherFraudAndForgery: FraudOrForgery CriminalDamageToADwelling: CriminalDamage CriminalDamageToOtherBldg: CriminalDamage CriminalDamageToMotor: CriminalDamage OtherCriminalDamage: CriminalDamage DrugTrafficking: Drugs PossessionOfDrugs: Drugs OtherDrugOffences: Drugs GoingEquipped: OtherNotifiableOffences OtherNotifiable: OtherNotifiableOffences **Each row of data in the data sets contains: ** *The number of incidents according to the Month Recorded, the specific crime type, and the Location *The Month Recorded *The broad crime type (Major HO category – eg Robbery) *The specific crime type (Minor HO category – eg Robbery: Personal Property) *The Location (Sub –Ward, Ward or borough depending on the data set selected)

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Total [affordable housing completions](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/dclg-affordable-housing-borough.xls) by financial year in each London borough since 1991/92. The information includes both homes funded through programmes directly managed by the GLA (and formerly by the Homes and Communities Agency) and homes funded through other sources and programmes. Affordable housing is the sum of social rent, affordable rent, intermediate rent and low cost home ownership. New affordable homes are additional housing units (or bed spaces) provided to specified eligible households whose needs are not met by the market. Data is from Homes and Communities Agency and Local Authorities. See data on [DCLG website](https://www.gov.uk/government/statistical-data-sets/live-tables-on-affordable-housing-supply)

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[Monthly London Ambulance Service call out data](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/ambulance-incidents-lsoa-monthly.xls) by type of incident and sub-ward area (Lower Super-Output census district or LSOA area). This excel file contains numbers for ambulance calls for each borough in London including: All incidents attended, All assault incidents attended, Assaults on women, Assaults on teenagers, Gun injuries, Knife injuries, All weapon injuries, Animal injuries, Binge drinking (alcohol poisoning where patient aged under 40), Cocaine, and Heroin overdoses. Volumes are derived by searching a database holding the records of all ambulances despatched in London. The records consist of data collected by paramedics or other ambulance staff, who record retrospectively if they believe an assault to have taken place. They also collect data on whether a weapon was used, or if the attended patient is suffering from an alcohol related illness. Each record has information from the 999 Call Handler. This can include data on specific type of weapon is collected. This is how we derive gun or knife injury as well heroin or cocaine overdose. From time to time the data collected may not be an accurate representation of the actual event. However the data is relevant for understanding broad patterns in different types of crime and disorder nonetheless. The number of incidents where a animal bite injury has been reported to the ambulance service. This data is filtered to include only bites from large animals (there are no specific data on dog bites, however the data is used to derive broad trends on dog issues.) The number of incidents where the ambulance service have attended someone suffering from an alcohol related illness. **Focussing on patients under 40 allows broad trends in Binge Drinking to be identified.** Older age groups may be more likely to be attended by the ambulance service for longer term alcohol related health issues. WARNING NOTE: The Excel file is 41MB and may take some time to download.

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[London Fire Brigade](http://www.london-fire.gov.uk/"London Fire Brigade") is the busiest fire and rescue service in the country and one of the largest firefighting and rescue organisations in the world. Each year they receive around a quarter of a million ‘999’ calls of which around 120,000 are incidents requiring a fire engine response. This dataset contains the details of every fire engine (pumping appliance) sent to an incident since January 2009. Information is provided for the appliance mobilised, where it was deployed from and the times recorded for arriving at the incident. The Zip file contains two CSV files. (31MB) [Metadata for this file](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/lfb-mobilisations-metadata.xls). (includes description of field names) Also available is all [LFB incident records](/datastore/package/london-fire-brigade-incident-records) since January 2009. This data about the incidents attended by the London Fire Brigade includes the fire station area where the incident happened; the fire station area is currently used for mobilising and other administrative purposes. On 9 January 2014, ten London fire stations were closed as part of the Authority’s Fifth London Safety Plan (LSP5), and fire station areas were changed to reflect these closures with the station areas of closed stations being distributed to adjacent fire station areas. To provide consistent incident data, stations grounds have been changed for all incidents in this data set and reflect the station areas in use from 9 January 2014.

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[London Fire Brigade](www.london-fire.gov.uk"London Fire Brigade") is the busiest fire and rescue service in the country and one of the largest firefighting and rescue organisations in the world. Each year they receive around a quarter of a million ‘999’ calls of which around 120,000 are incidents requiring a fire engine response. This dataset contains the details of every incident responded to since January 2009. Information is provided for when and where the incident happened an the type of incident dealt with. Zip file containing two CSV files (38MB) [Metadata for this file](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/lfb-incidents-metadata.xls) is available which also includes a Glossary and descriptions for the incident ‘Stop-codes’. Also available is all [LFB mobilisation records](/datastore/package/london-fire-brigade-mobilisation-records) (for fire engines) to incidents since January 2009. This data about the incidents attended by the London Fire Brigade includes the fire station area where the incident happened; the fire station area is currently used for mobilising and other administrative purposes. On 9 January 2014, ten London fire stations were closed as part of the Authority’s Fifth London Safety Plan (LSP5), and fire station areas were changed to reflect these closures with the station areas of closed stations being distributed to adjacent fire station areas. To provide consistent incident data, stations grounds have been changed for all incidents in this data set and reflect the station areas in use from 9 January 2014.

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Data about response times to incidents, fires and fire safety work to support analysis of impacts of the implementation of changes to London Fire Brigade fire stations and deployment of fire engines in January 2015 as a result of the LFEPA Fifth London Safety Plan (LSP5) [London Fire Brigade](http://www.london-fire.gov.uk/) is the busiest fire and rescue service in the country and one of the largest firefighting and rescue organisations in the world. Each year they receive around 200,000 ‘999’ calls of which around 100,000 are incidents requiring a fire engine response. On 9 January 2014, ten London fire stations were closed as part of the Authority’s Fifth London Safety Plan (LSP5), 14 fire engines (net) and one fire rescue unit were removed from service, and some other fire engines deployed to different stations. In September, the Authority’s Strategy Committee requested a report assessing the impact of the LSP5 changes since January 2014. A report to the full LFEPA meeting on 27 November 2014 provides that assessment (report FEP2363 - Statement of Assurance 2013/14 and the impact of the Fifth London Safety Plan (LSP5)) and is available [here](http://moderngov.london-fire.gov.uk/ieListDocuments.aspx?CId=119&MId=337&Ver=4). Included in that report are detailed data tables providing relevant data to help assess the impact of LSP5 changes at borough and ward level. Those datasets – which comprise appendices 3 and 4 of the report – are made available here in open format (CSV). The data sets cover 12 month periods from 2011/12 to 2013/14 (12 months April to March each year) plus total data for the period January to August 2014. LFEPA already published full datasets for incidents attended since January 2009 (which details about that incident including location), plus a dataset which details of every fire engine (pumping appliance) sent to an incident. These datasets are updated on a monthly basis. Download: [Zip](https://londondatastore-upload.s3.amazonaws.com/dataset/impacts-of-the-changes-to-fire-stations-and-fire-engines/lfepa.zip) file containing five CSV files. (60 KB) [Metadata for this file](https://londondatastore-upload.s3.amazonaws.com/dataset/impacts-of-the-changes-to-fire-stations-and-fire-engines/Meta data for London Datastore LSP5 impacts FEP2363 - November 2014.xlsx) (includes description of field names) Also available is all [fire engine mobilisations](http://data.london.gov.uk/dataset/london-fire-brigade-mobilisation-records) since January 2009 Also available is all [LFB incident records](/dataset/london-fire-brigade-incident-records) since January 2009.

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[Monthly London Ambulance Service call out data](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/ambulance-borough-monthly.xls) by type of incident and borough. This excel file contains numbers for ambulance calls for each borough in London including: All incidents attended, All assault incidents attended, Assaults on women, Assaults on teenagers, Gun injuries, Knife injuries, All weapon injuries, Animal injuries, Binge drinking (alcohol poisoning where patient aged under 40), Cocaine, and Heroin overdoses Volumes are derived by searching a database holding the records of all ambulances despatched in London. The records consist of data collected by paramedics or other ambulance staff, who record retrospectively if they believe an assault to have taken place. They also collect data on whether a weapon was used, or if the attended patient is suffering from an alcohol related illness. Each record has information from the 999 Call Handler. This can include data on specific type of weapon is collected. This is how we derive gun or knife injury as well heroin or cocaine overdose. From time to time the data collected may not be an accurate representation of the actual event. However the data is relevant for understanding broad patterns in different types of crime and disorder nonetheless. The number of incidents where a animal bite injury has been reported to the ambulance service. This data is filtered to include only bites from large animals (there are no specific data on dog bites, however the data is used to derive broad trends on dog issues.) The number of incidents where the ambulance service have attended someone suffering from an alcohol related illness. **Focussing on patients under 40 allows broad trends in Binge Drinking to be identified.** Older age groups may be more likely to be attended by the ambulance service for longer term alcohol related health issues.

Summary

Description

Job Seekers Allowance (JSA) replaced Unemployment Benefit and Income Support for unemployed people on 7th October 1996. It is payable to people under state pension age who are available for and actively seeking work. Participants in some government training schemes are able to claim JSA. In addition to signing an agreement with Job Centre Plus stipulating work restrictions and a programme for finding work a person must: be living in Great Britain; be capable of work; not in education; not be working 16 or more hours a week on average. Additionally, the partners of claimants of income-based JSA should not work for 24 hours or more per week JSA is either contribution or income-based depending on individual circumstances. Those who have paid sufficient National Insurance contributions receive contribution-based JSA for up to six months. Those who do not qualify for, or whose needs are not met by contribution based JSA, may qualify for income-based help for themselves and their dependents, where dependents are defined as children under the age of 16 plus young dependent adults aged 16 to 18.

Summary

Description

Incapacity Benefit (IB) replaced Sickness Benefit and Invalidity Benefit from 13 April 1995. It is paid to people who are assessed as being incapable of work and who meet certain contribution conditions. There are three rates of Incapacity Benefit. There are two short-term rates: the lower rate (IBST(L)) is paid for the first 28 weeks of sickness and the higher rate (IBST(H)) for weeks 29 to 52. The long-term rate (IBLT) applies to people who have been sick for more than a year. The higher short-term rate and the long-term rate are treated as taxable income. For the first 28 weeks of incapacity, people previously in work are assessed on the ‘own occupation’ test, i.e. the claimant’s ability to do their own job. Otherwise incapacity is based on the ‘personal capability assessment’ (formerly ‘all work test’), which assesses ability to carry out a range of work-related activities. The test applies after 28 weeks of incapacity or from the start of the claim for people who did not previously have a job. Certain people are exempt from the personal capability assessment. These include, those in receipt of the Disability Living Allowance care component at the higher rate, those registered blind, and those suffering from a severe illness (for example tetraplegia, persistent vegetative state, dementia). Increases are paid for a dependant who is caring for a child or where the spouse is aged 60 or over. Increases for children are paid with the short-term higher rate and with the long-term rate. With the introduction of the new Child Tax Credit on 6 April 2003 no new child dependency increases were awarded, although all existing increases were transitionally protected. An age addition is paid with the long-term rate.

Summary

Description

Numbers and rates of [people claiming Employment Support Allowance](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/employment-support-allowance-borough.xls). Employment and Support Allowance (ESA) replaced Incapacity Benefit and Income Support paid on the grounds of incapacity for new claims from 27th October 2008.

Summary

Description

[Table](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/income-support-borough.xls) showing numbers and rates of income support claimants. Income Support is intended to help people on low incomes who do not have to be available for employment. It can normally be claimed by people who are: \- aged 16 or over; \- not working or working under 16 hours per week (and/or with a partner working under 24 hours); \- not required to be available for full-time employment; and \- in receipt of insufficient income to meet prescribed needs. The main types of people who receive it are lone parents, the long and short-term sick, people with disabilities and other special groups. Rates are as a percentage of all people aged 16-64 from ONS mid-year estimates. This dataset is based on 100% of claims so is not subject to any sampling error. In outputs figures are rounded to the nearest 10. Data relate to a single point in time, the reference date, and provide a snapshot of claims at that point. The reference date is the last day of the month in question. Data are not seasonally adjusted so any comparisons should be made year on year. Exercise caution when using time series as figures are affected by the introduction of the Child Tax Credit (CTC) in April 2003. After August 2003 there was a sharp decline in the total number of claimants. This is due to the migration of most existing Minimum Income Guarantee claimants (1.8 million) to Pension Credit, which was introduced in October 2003. Figures under 500 are subject to high sampling variation and should be used with caution. \- These figures are missing. Download from NOMISweb https://www.nomisweb.co.uk