Trends in global fuel economy of new vehicles: 2005 - 2022

This data contains information on the fuel economy of new light-duty vehicle sales in major automotive markets and underpins the report - Trends in the global vehicle fleet 2023: managing the SUV shift and the EV transition. This report is the 2023 installment of the Global Fuel Economy Initiative (https://www.globalfueleconomy.org/) which, among other things, tracks progress in the efficiency of the global vehicle fleet. 

Yearly vehicle sales are defined by segment (small car, medium car, large car, small SUV, large SUV, Light Commercial Vehicle) and powertrain ( internal combustion engine, mild hybrid, hybrid, plug-in hybrid, battery electric, fuel cell hydrogen). For each combination of segment and powertrain the data contains information on sales, average weight (kg), average footprint (m2), and average specific energy consumption (lge/100 km). The data was obtained from a set of sources and processed to gain the best possible estimate of global trends in energy consumption for light duty vehicles. More information on the methodologies underpinning the data analysis can be found in the report.

Files included:

supplementary_information_GFEI2023_TDC.xlsx

data: sheet containing the the data -  blank rows indicate missing data.

unique values: contains the unique values taken by each column in sheet data

 supplementary_information_GFEI2023_vizualisation.xlsx

raw_data: same data as that available in the file above

country_map: tha mapping of individual countries to regions used in the report

filter_data: combinations of powertrain-year-country that account for less than 0.5% of yearly sales that are not displayed in the Graphs tab

pivots_country, pivots_powertrain, pivots_segment: intermediate step 

Powertrain: registrations, specific fuel consumption, weight and footprint  by powertrain

Segment: registrations, specific fuel consumption, weight and footprint  by segment

Graphs: Includes plots of the above two tabs, contains a country selector in I2

sdmx.zip

Data structures and data in SDMX-ML format, containing exactly the same information as supplementary_information_GFEI2023_TDC.xlsx, converted using the code at https://github.com/transport-data/gfei-2023

Nota Bene: Older versions of Excel might encounter issues with titles in graphs, that is likely caused by the CONCAT function not being availble - substituting the CONCAT function with CONCATENATE should solve the problem.