To compare a country’s carbon emissions accurately with another, a “per capita” method is required. This allows each country, no matter the size of its population, to be able to be compared with another.
Per capita is a Latin term that translates to "by head." It is used mainly in economics and statistics to assess the applicability of such metrics to a population (group of individuals). Per capita is used as an “apple” in economic analysis for the comparison of “apples” between countries, since all countries have different populations.
The following visualisation depicts the carbon emissions per capita which shows that although countries as large as China and India might be thought to be the “worst offenders”, those such as Canada as well as Australia/New Zealand combined as their populations are less.
A similar approach is used to allow comparisons of each travel platform Industry Classified “group of individuals” (profiles). We calculate the contribution based on (active) profiles a travel platform has, no matter if they are actively travelled or not during the selected date range. The total CO2e emissions are divided by the (active) profiles and used to reference the average for the same of all platforms which hold the same industry classification.
The following examples are of four (4) travel platforms with the same industry classification (e.g. Professional, Scientific & Technical Services) for a period of 30 days. The data of each when combined and averaged provides the “per capita” for platforms with the “Professional, Scientific & Technical Services” industry classification.
The above data shows that despite the profile count of the platform “D”, with almost 50% of profiles who actively travelled, the CO2e emitted indicates they are the “worst offender” within their sector (industry classification). Additionally, the CO2e from Hotel/Car for platforms “B” and “C” could be improved with the statuses of OKAY and POOR indicated (Colour Coding).
Total Avg CO2e (t)
The sample data set and its calculations are based on current benchmark methods, which can be subject to change with or without notice.