Note: you are viewing the archived version of our website. Click here to go to our new site.
  1. Home
  2. Data
  3. Data Overview
  4. Indicators
  5. Energy
  6. energy consumption
  7. energy consumption- transport from petroleum products

Data Overview

Area
Energy
Sub-area
energy consumption
Indicator
energy consumption- transport from petroleum products
Data Points
35

Data

City MTU Publication Year Value Unit Comments
Bogotá Urban material flow analysis: An approach for Bogotá, Colombia 2010 81,483 TJ/year Comments
London City of London Exploring the energy use drivers of 10 cities at microscale level 2014 198.50 GWh
London Barking and Dagenham Exploring the energy use drivers of 10 cities at microscale level 2014 616.20 GWh
London Barnet Exploring the energy use drivers of 10 cities at microscale level 2014 1,431.20 GWh
London Bexley Exploring the energy use drivers of 10 cities at microscale level 2014 780.60 GWh
London Brent Exploring the energy use drivers of 10 cities at microscale level 2014 808.30 GWh
London Bromley Exploring the energy use drivers of 10 cities at microscale level 2014 1,082.60 GWh
London Camden Exploring the energy use drivers of 10 cities at microscale level 2014 520.30 GWh
London Croydon Exploring the energy use drivers of 10 cities at microscale level 2014 1,052 GWh
London Ealing Exploring the energy use drivers of 10 cities at microscale level 2014 1,135.10 GWh
London Enfield Exploring the energy use drivers of 10 cities at microscale level 2014 1,417.90 GWh
London Greenwich Exploring the energy use drivers of 10 cities at microscale level 2014 963.30 GWh
London Hackney Exploring the energy use drivers of 10 cities at microscale level 2014 548.50 GWh
London Hammersmith and Fulham Exploring the energy use drivers of 10 cities at microscale level 2014 571.70 GWh
London Haringey Exploring the energy use drivers of 10 cities at microscale level 2014 613.90 GWh
London Harrow Exploring the energy use drivers of 10 cities at microscale level 2014 514 GWh
London Havering Exploring the energy use drivers of 10 cities at microscale level 2014 1,436.90 GWh
London Hillingdon Exploring the energy use drivers of 10 cities at microscale level 2014 1,872.40 GWh
London Hounslow Exploring the energy use drivers of 10 cities at microscale level 2014 1,311.60 GWh
London Islington Exploring the energy use drivers of 10 cities at microscale level 2014 448.80 GWh
London Kensington and Chelsea Exploring the energy use drivers of 10 cities at microscale level 2014 555.10 GWh
London Kingston upon Thames Exploring the energy use drivers of 10 cities at microscale level 2014 747.50 GWh
London Lambeth Exploring the energy use drivers of 10 cities at microscale level 2014 813.80 GWh
London Lewisham Exploring the energy use drivers of 10 cities at microscale level 2014 821.10 GWh
London Merton Exploring the energy use drivers of 10 cities at microscale level 2014 521.60 GWh
London Newham Exploring the energy use drivers of 10 cities at microscale level 2014 987.30 GWh
London Redbridge Exploring the energy use drivers of 10 cities at microscale level 2014 959.60 GWh
London Richmond upon Thames Exploring the energy use drivers of 10 cities at microscale level 2014 682.30 GWh
London Southwark Exploring the energy use drivers of 10 cities at microscale level 2014 818.70 GWh
London Sutton Exploring the energy use drivers of 10 cities at microscale level 2014 539.10 GWh
London Tower Hamlets Exploring the energy use drivers of 10 cities at microscale level 2014 968.90 GWh
London Waltham Forest Exploring the energy use drivers of 10 cities at microscale level 2014 666.10 GWh
London Wandsworth Exploring the energy use drivers of 10 cities at microscale level 2014 812.40 GWh
London Westminster Exploring the energy use drivers of 10 cities at microscale level 2014 1,033.30 GWh
London Exploring the energy use drivers of 10 cities at microscale level 2014 28,250.30 GWh

You can help! We have embarked upon the time-consuming but very rewarding task of extracting urban metabolism figures from publications, in order to enable fellow researchers to more easily and quickly access these figures and save time in their work. Although we already have a lot of data, there is still lots more out there. Are you willing to help? Get in touch!

Creative Commons Attribution 4.0 International license. Last update: June 2019