Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains half hourly smart meter measurements of 4443 households, obtained during the Low Carbon London project, during 2013.
It is a refactored version of the data released by UK Power Networks under CC-BY license. The following filters have been applied:
Description of the data format:
Note: a cleaner version of the same data set, accompanied by survey data, is available under a more restrictive license at DOI: http://doi.org/10.5255/UKDA-SN-7857-2.
https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The London Data Center Market is Segmented by DC Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Absorption (Utilized (Colocation Type (Retail, Wholesale, Hyperscale), End User ( Cloud & IT, Telecom, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce)), and Non-Utilized). The Market Sizes and Forecasts are Provided in Terms of Volume (MW) for all the Above Segments.
FOCUSON**LONDON**2010:**INCOME**AND**SPENDING**AT**HOME**
Household income in London far exceeds that of any other region in the UK. At £900 per week, London’s gross weekly household income is 15 per cent higher than the next highest region. Despite this, the costs to each household are also higher in the capital. Londoners pay a greater amount of their income in tax and national insurance than the UK average as well as footing a higher bill for housing and everyday necessities. All of which leaves London households less well off than the headline figures suggest.
This chapter, authored by Richard Walker in the GLA Intelligence Unit, begins with an analysis of income at both individual and household level, before discussing the distribution and sources of income. This is followed by a look at wealth and borrowing and finally, focuses on expenditure including an insight to the cost of housing in London, compared with other regions in the UK.
See other reports from this Focus on London series.
REPORT:
To view the report online click on the image below. Income and Spending Report PDF
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PRESENTATION:
This interactive presentation finds the answer to the question, who really is better off, an average London or UK household? This analysis takes into account available data from all types of income and expenditure. Click on the link to access.
The Prezi in plain text version
RANKINGS:
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This interactive chart shows some key borough level income and expenditure data. This chart helps show the relationships between five datasets. Users can rank each of the indicators in turn.
Borough rankings Tableau Chart
MAP:
These interactive borough maps help to geographically present a range of income and expenditure data within London.
Interactive Maps - Instant Atlas
DATA:
All the data contained within the Income and Spending at Home report as well as the data used to create the charts and maps can be accessed in this spreadsheet.
FACTS:
Some interesting facts from the data…
● Five boroughs with the highest median gross weekly pay per person in 2009:
-1. Kensington & Chelsea - £809
-2. City of London - £767
-3. Westminster - £675
-4. Wandsworth - £636
-5. Richmond - £623
-32. Brent - £439
-33. Newham - £422
● Five boroughs with the highest median weekly rent for a 2 bedroom property in October 2010:
-1. Kensington & Chelsea - £550
-2. Westminster - £500
-3. City of London - £450
-4. Camden - £375
-5. Islington - £360
-32. Havering - £183
-33. Bexley - £173
● Five boroughs with the highest percentage of households that own their home outright in 2009:
-1. Bexley – 38 per cent
-2. Havering – 36 per cent
-3. Richmond – 32 per cent
-4. Bromley – 31 per cent
-5. Barnet – 28 per cent
-31. Tower Hamlets – 9 per cent
-32. Southwark – 9 per cent
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Kaggle London Smart Meters dataset contains 5560 half hourly time series that represent the energy consumption readings of London households in kilowatt hour (kWh) from November 2011 to February 2014.
The original dataset contains missing values. They have been replaced by carrying forward the corresponding last observations (LOCF method).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the London population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for London. The dataset can be utilized to understand the population distribution of London by age. For example, using this dataset, we can identify the largest age group in London.
Key observations
The largest age group in London, OH was for the group of age 40 to 44 years years with a population of 838 (8.06%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in London, OH was the 80 to 84 years years with a population of 270 (2.60%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for London Population by Age. You can refer the same here
The LAEI 2019 is the latest version of the London Atmospheric Emissions Inventory and replaces previous versions of the inventory.
Emissions estimates of key pollutants (NOx, PM10, PM2.5 and CO2) by source type are included for the base year 2019. Emissions for previous years 2013 and 2016 have also been revised, using the latest data sources (emission factors, activity data, ...) where available, and changes in methodology where relevant.
Emissions projected forward to 2025 and 2030 will be available soon.
The area covered by the LAEI includes Greater London (the 32 London boroughs and the City of London), as well as areas outside Greater London up to the M25 motorway.
These emissions have been used to estimate ground level concentrations of key pollutants NOx, NO2, PM10 and PM2.5 across Greater London for year 2019, using an atmospheric dispersion model. Air pollutant concentration maps and associated datasets are available for download.
Due to the size of the LAEI database, datasets are provided in several parts and provided as ZIP files.
Documentation
Supporting Information Key GIS geographies and road traffic flows and vehicle-kilometres for 2019 for each vehicle type. Data are provided in Excel and GIS formats.
Grid Emissions Summary This dataset includes emissions of key pollutants NOx, PM10, PM2.5and CO2, and a range of additional pollutants (SO2, CH4, VOC...) in tonnes/year for 2013, 2016 and 2019 for each source category at a 1km grid square resolution (further split to follow all London borough boundaries). It includes emission summary tables for London boroughs and London zones (Central / Inner / Outer London). Data are provided in Excel and GIS formats.
Detailed Road Transport Road transport NOx, PM10, PM2.5and CO2 emissions in 2019 by vehicle type. PM emissions include split by exhaust, break wear and tyre wear. This data is provided at link level for major roads. Data are provided in several GIS formats.
Concentrations This dataset includes modelled 2019 ground level concentrations of annual mean NOx, NO2, PM10 and PM2.5in µg/m3 (microgramme per cubic metre) at 20m grid resolution. For PM10, it also includes the number of daily means exceeding 50 µg/m3. Data are provided in CSV, GIS (ESRI) and PDF formats.
Population Exposure These datasets include estimations of the number of Londoners and number of schools, hospitals and care homes in London exposed to an annual average NO2 concentration above the Air Quality Strategy objective of 40µg/m3 and PM2.5 concentration above the interim WHO Guideline of 10µg/m3, based on the modelled 2019 ground level concentrations. A comparison with previous 2016 concentrations modelled for the LAEI 2016 inventory is also provided.
The LAEI 2016 has been superseded. Click here for the full list of releases.
Emissions estimates of key pollutants (NOx, PM10, PM2.5 and CO2) by source type are included for the base year 2016. Emissions for previous years 2010 and 2013 have also been recalculated, using the latest data sources (emission factors, activity data, ...) and methodology.
Emissions projected forward to 2020, 2025, and 2030 will be available soon.
The area covered by the LAEI includes Greater London (the 32 London boroughs and the City of London), as well as areas outside Greater London up to the M25 motorway.
These emissions have been used to estimate ground level concentrations of key pollutants NOx, NO2, PM10 and PM2.5 across Greater London for year 2016, using an atmospheric dispersion model. Air pollutant concentration maps and associated datasets are available for download.
Due to the size of the LAEI database, datasets have been zipped and need to be downloaded in several parts.
UPDATE 03/07/19 - The concentration maps and associated data (including population and school exposure data) have been reissued following a minor issue with the previous dataset. Please read the following note for further information: Updated LAEI 2016 Concentration Maps and Associated Data - July 2019 (.PDF - 146kB).
Documentation
Supporting Information Key GIS geographies and road traffic flows and vehicle-kilometres for 2010, 2013 and 2016 for each vehicle type. Data are provided in Excel and GIS formats.
Grid Emissions Summary This dataset includes emissions of NOx, PM10, PM2.5 and CO2in tonnes/year for 2010, 2013 and 2016 for each source category at a 1km grid square resolution, including summary tables for London boroughs and London zones (Central / Inner / Outer London). Data are provided in Excel and GIS formats.
Detailed Road Transport Road transport emissions in 2010, 2013 and 2016 by vehicle type and also by pollutant. This data is presented at link level for major roads and at grid level for minor roads and cold start emissions. Data are provided in Excel and GIS formats.
Concentrations This dataset includes modelled 2016 ground level concentrations of annual mean NOx, NO2, PM10 and PM2.5 in µg/m3 (microgramme per cubic metre) at 20m grid resolution. For PM10, it also includes the number of daily means exceeding 50 µg/m3.Data are provided in Excel, GIS and PDF formats.
Population Exposure This dataset includes estimations of the number of Londoners and number of schools in London exposed to an annual average NO2 concentration above the Air Quality Strategy objective of 40µg/m3, based on the modelled 2016 ground level concentrations. A comparison with previous 2013 concentrations modelled for the LAEI 2013 inventory is also provided.
The LAEI 2013 has been superseded. Click here for the full list of releases.
The LAEI 2013 was published in 2016. However, due to revised road transport emission factors (COPERT 5) the data has been further updated in April 2017 (see 4.1 and 6.1)
Estimates of key pollutants (NOx, PM10, PM2.5 and CO2) are included for the base year 2013 and projected forward to 2020, 2025, and 2030. Emissions for previous years 2008 and 2010 are also provided, to allow comparison with previous versions of the LAEI.
The LAEI area covers the 32 London Boroughs and the City of London and up to the M25 motorway
Due to the size of the LAEI database this dataset has been zipped and needs to be downloaded in several parts.
0 - Documentation (.ZIP - 17.8 MB) - NEW
LAEI 2013 Methodology
1 - Supporting Information (.ZIP - 678.1 MB)
Key GIS geographies and road traffic flows and vehicle-kilometres.
2 - Grid Emissions Summary
Emissions by 1km grid square and source, for each inventory year as well as pivot tables to calculate borough and zone level statistics. Data is in Excel, Mapinfo and ArcGIS format.
3 - Detailed Road Transport
Road transport emissions by vehicle type at link level for major roads and grid level for minor roads and cold start emissions.
Emissions for LAEI 2013 Updated to follow soon.
4 - Concentrations (.ZIP - 1.6 GB)
Modelled 2013, 2020, 2025 and 2030 concentrations of NO2, NOx, PM10, PM10d and PM2.5 at 20m grid level. 04/04/17 - Please note that new LAEI 2013 Updated concentration files have now been included (see 4.1)
Due to the size of this database we recommend working on a local drive rather than over a network.
4.1. Concentrations LAEI 2013 Update (.ZIP - 767.837 KB) - NEW
Modelled 2013 and 2020 concentrations of NO2, NOx, PM10, PM10d and PM2.5 at 20m grid level. 04/04/2017 - Please note this file contains updated revised LAEI 2013 concentration data which should now replace files previously provided for 2013 and 2020.
UPDATE 03/04/19 - The concentration maps for 2013 and 2020 have been re-uploaded with colour schemes matching those used for the LAEI2016, to allow direct comparison between the maps.
Concentrations - 2020 Maps - PDF Files (.ZIP - 11.1 MB)
5 - Slides Presentations (.ZIP - 8.182 KB)
21/04/2016 - Please note that these slides have been added as a result of the LAEI 2013 Workshop on 14/04/2016
LAEI2013Workshop_EmissionsFunctions - Emissions functions problems. Developing new ones
6 - Greater London Concentration Maps - Images of NO2, PM10, PM10d and PM2.5 for all LAEI years at Greater London level. 04/04/17 - Please note that new LAEI 2013 Updated concentration maps have now been included (see 6.1)
Maps at borough level can be found in the LLAQM bespoke borough by borough 2013 air quality modelling and data, here
6.1 - Greater London concentration Maps LAEI 2013 Update (.ZIP - 424.442 KB) - NEW
Images of NO2, PM10, PM10d and PM2.5 for 2013 and 2020 Updated LAEI at Greater London level. 04/04/2017 - Please note this file contains updated revised LAEI 2013 concentration maps/images which should now replace images previously provided for 2013 and 2020.
Data and figures from the Census Information Scheme briefing on Diversity in London (CIS2013-04).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New London population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of New London.
The dataset constitues the following two datasets across these two themes
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This spreadsheet summarises of the key travel patterns and trends relating to the TFL network and Airports around London.
Some of the borough level data has been analysed using these interactive charts. Click on the image to open.
The first stack graph shows the spread of mode of travel for each borough. In Kensington and Chelsea over 44 per cent of journeys are made on foot, in Bexley 59 per cent of journeys are in a car/motorcycle, and in Hackney over a 25 per cent of journeys are by bus.
The second graph shows the proportion of all road casualties by road user type and borough in 2010. The City of London has the highest proportion of casualties for pedestrians, and cyclists.
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Some of the airports data has been presented in this one page factsheet that highlights some important facts about flights and passengers at London’s airports. The number one country where people have either come from or going to is the United States.
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List of tables included in the spreadsheet:
1 Aggregate travel volumes in Greater London. Estimated daily average number of journey stages, 1993-2009
2 Modal shares of daily journey stages in London, 2009
3 Annual passenger kilometres travelled by public transport (millions), London, 2008/09 - 2010/11
4 Annual journey stages by public transport (millions), 1991/92 - 2010/11
5 Index of London road traffic, major and minor roads, all motor vehicles, 2000-2009
6 Trends in road casualties, by personal injury severity, London and GB, 1991-2010
7 London road casualties by mode of travel, 2010
8 Trends in cycle flows on the TLRN, annualised indices, 2000/01 - 2010/11
9 People entering central London in the weekday morning peak, 1978 - 2009
10 Car ownership in Inner and Outer London, 2009/10
11 Hours of serious and severe disruption London-wide, 2009/10
12 Number of road works undertaken on the TLRN, Sep 2009 - Oct 2010
13 London Underground: scheduled and operated train kilometres, 1995/96 - 2009/10
14 London Underground - operated train kilometres (millions) by line, 2009/10
15 Average number of passengers per bus, train or tram, 2001/02 - 2009/10
16 Public transport fares - UK and London compared, 1994/95 - 2009/10
17 Air freight moved through London's principal airports, 1993 - 2009
18 Terminal passengers by London area airport, in millions, 2000, 2010
19 Terminal passengers by London area airport, 1990 - 2010
20 Terminal passengers by flight's country of origin or destination, 2010
21 Road Casualties by Severity and Road User Type, by Borough 2010
22 Data used in the Interactive Chart
- Number of trips, distribution of trips by mode and average travel time from home to work, 2007/2008 to 2009/10 (3-year moving average)
23 Data used for Air Transport Factsheet
- International terminal passengers at London airports, 2010
- All terminal passengers at London airports, in millions, 2000, 2010
- Terminal passengers at London airports by origin or destination of the flight, 2010
- Number of UK flights and passenger by London airport, 2010
Most data is from the annual report Travel in London 3, Transport for London. Further information, reports and data from the Travel in London series can be found on the TFL website.
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 file
Click here for corresponding LSOA level data: Recorded Crime Summary Data for London: LSOA Level
Click here for corresponding Borough level data: Recorded Crime Summary Data for London: Borough 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)
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The GLA and Nesta are working together to run a pilot to demonstrate that performing data analytics on datasets sourced from multiple local authorities and public sector bodies can help reform public services in the capital. If successful, the pilot will pave the way to create a permanent London Office of Data Analytics. As well as regular blogs, we will publish reports here as they are produced over the next few months.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the London population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of London. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 697 (59.12% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for London Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the London township population by age. The dataset can be utilized to understand the age distribution and demographics of London township.
The dataset constitues the following three datasets
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The GIS (Geographic Information System) vectorisation project will deliver the incremental digital conversion of our legacy geospatial network records. This dataset defines the sub-areas which will be incrementally delivered, detailing corresponding current status and planned completion dates. This allows users to understand the current and future coverage of digital geospatial network records as the project progresses.
Methodological Approach Progress against a defined project plan is captured and updated throughout the day. A script is run to convert into a shapefile. This shapefile is then uploaded onto the Open Data Portal.
Quality Control Statement
This dataset is provided "as is".
Assurance Statement The Open Data Team has checked outputs to validate.
Other Download dataset information: Metadata (JSON)Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/
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The LAEI 2006 has since been superseded. Click here for the full list of releases.
Modelled PM10 annual mean concentrations in London for the year 2006. Calculations are based on the 2006 London Atmospheric Emissions Inventory (LAEI) and use three different meteorological scenarios (2003, 2004 and 2006).
This dataset can be mapped in a Geographic Information System (GIS) using the corresponding 20m grid or point datasets also available on the Datastore.
Due to the detailed nature of this dataset and the resulting large file size, the download file has been compressed.
The Mayor is committed to cutting fuel poverty and increasing the energy efficiency of buildings across London. To help target where action is most needed, the Mayor has developed a London Building Stock Model with the UCL Energy Institute. The London Building Stock Model is a database of all the energy and carbon data collected through the Mayor’s energy programmes and policies. It provides a snapshot of all London’s buildings (both domestic and non-domestic) with information on their energy performance certificates as of 2017.
More information is available here, and an interactive map is available here.
Most of the data from the London Building Stock Model interactive map has been made available through the data extracts below. Please note that the data extracts are based on Ordnance Survey's list of London properties as of 2023. However, as the London Building Stock Model data is from 2017, some of the properties might not have any London Building Stock Model data attached to them.
The data contains Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. © Crown copyright and database rights 2023
These profiles help paint a general picture of an area by presenting a range of headline indicator data in both spreadsheet and map form to help show statistics covering demographic, economic, social and environmental datasets for each borough, alongside relevant comparator areas.
The full datasets and more information for each of the indicators are usually available on the London Datastore. A link to each of the datasets is contained in the spreadsheet and map.
On opening the spreadsheet a simple drop down box allows you to choose which borough profile you are interested in. Selecting this will display data for that borough, plus either Inner or Outer London, London and a national comparator (usually England where data is available).
To see the full set of data for all 33 local authorities in London plus the comparator areas in Excel, click the 'Data' worksheet.
A chart and a map are also available to help visualise the data for all boroughs (macros must be enabled for the Excel map to function).
The data is set out across 11 themes covering most of the key indicators relating to demographic, economic, social and environmental data. Sources are provided in the spreadsheet. Notes about the indicator are provided in comment boxes attached to the indicator names.
Profiles using interactive mapping
For a geographical and bar chart representation of the profile data, open this interactive report. Choose indicators from the left hand side. Click on the comparators to make them appear on the chart and map.
Sources, links to data, and notes are all contained in the box in the bottom right hand corner.
These profiles include data relating to: Population, Households (census), Demographics, Migrant population, Ethnicity, Language, Employment, NEET, Benefits, Qualifications, Earnings, Volunteering, Jobs density, Business Survival, Crime, Fires, House prices, New homes, Tenure, Greenspace, Recycling, Carbon Emissions, Cars, Public Transport Accessibility (PTAL), Indices of Multiple Deprivation, GCSE results, Children looked after, Children in out-of-work families, Life Expectancy, Teenage conceptions, Happiness levels, Political control, and Election turnout.
Data is correct as of September 2014.
To access even more data at local authority level, use the London Borough Atlas. It contains data about the same topics as the profiles but provides further detailed breakdowns and time-series data for each borough.
The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.
You may also find our small area profiles useful - Ward, LSOA, and MSOA.
Detail relating to the physical accessibility of London Underground stations. This dataset provides walking distances, number of stairs, location of amenities and a whole host of other data relating to the physical design of London Underground stations.
This dataset consists of 18 separate tables relating to various accessibility issues.
This data will be made available shortly in an open format, but requires further processing. Excel versions are available via the links below. We will also be making the various links to photographs within some of the spreadsheets available as a related table.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains half hourly smart meter measurements of 4443 households, obtained during the Low Carbon London project, during 2013.
It is a refactored version of the data released by UK Power Networks under CC-BY license. The following filters have been applied:
Description of the data format:
Note: a cleaner version of the same data set, accompanied by survey data, is available under a more restrictive license at DOI: http://doi.org/10.5255/UKDA-SN-7857-2.