This week it’s mileage time! Annually, women travel 5,951 miles and men 7,237 miles, on average. When last week I looked at trips in the National Travel Survey 2013, this week it’s correspondingly the travel distance I will take a look at. And, to cut a long story short, we see similar graph shapes emerging (see bottom of post).
Ageless average on trip purpose
It is of interest to note perhaps that men’s ‘mileage budget’ of 7,237 miles is used up considerably by commuter miles at 23% of miles (1,692 miles) when women use of their total of 5,951 miles for 15% commuting (879 miles). Women’s highest mileage expenditure category is visiting friends at home at 18% (1,067 miles). Especially combined with the fewer commuting trips that women make (see last week’ s post), it seems to indicate that women work from home or on a part-time basis – it could also mean that women’s commute is generally shorter (I intend to look at that later). Or a combination of the above.
Other marked differences that I noted are that men accumulate much higher business miles than women (13% v 5%) but lower shopping miles (9% to 14%) over all age groups.
So, more shopping miles for women. And we know from last week that women also make more trips to visit friends at home and, from this week’s mileage focus: this corresponds with women travelling more miles to do so too. Keen to stay in touch it seems.
These ‘budget’ differences on commuting and business miles vastly account for the overall difference in women’s and men’s total mileage. Seems that men are the bread winners still… under the current economic accounting system at least.
Figures: difference in mileage percentage per trip purpose:
Breaking the data down into age groups also reveals interesting results. It appears that men between 35 and 60 years of age, or so, are travelling their hearts out, comparatively to women. The main trip purpose contributors are commuting and businesses trips. See attached spreadsheet for more context, like other trip purpose breakdowns, too.
Figures: difference in mileage by age group (y-axis >0 = male surplus miles):
Some tripping miles
Here are the similar graph shapes in miles, mirroring the trip curves from last week’s trip data – highlighting again, that the commute eats up a fair few miles of our general travel distance.
Spreadsheet showing further analysis and computation nts0612_KL_upload