A BF Challenge - what's your city's bike mode share?
Something interesting came up in discussing stats, Baltimore's bike mode share is lower then the states average bike mode share and I am curious how other cities fair so here is the challenge look up your city and state post your findings and answer the poll.
You can find the data by fiddling with the box in the upper left on this page: http://factfinder.census.gov/servlet...-redoLog=false (Using the 2006 survey) Place: Maryland Population: 2,813,342 Bicycle: 0.3% Place: Baltimore city, Maryland Population: 258,373 Bicycle: 0.2% My city's bike mode share is Lower then the state average. By population I mean workers 16 and over (the data that is on the form) (To help in formating copy and past the following in your reply) Place: Population: Bicycle: Place: Population: Bicycle: My city's bike mode share is then the state average. |
Tippecanoe County, Indiana S0801. Commuting Characteristics by Sex http://factfinder.census.gov/img/metadata_icon.gif
Data Set: 2006 American Community Survey Survey: 2006 American Community Survey NOTE. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology. Subject Total Male Female Workers 16 years and over 71,557 +/-2,447 38,621 +/-1,607 32,936 +/-1,842 MEANS OF TRANSPORTATION TO WORK Car, truck, or van 86.4% +/-1.9 84.1% +/-2.6 89.1% +/-2.7 Drove alone 78.6% +/-2.5 75.6% +/-3.5 82.2% +/-3.1 Carpooled 7.7% +/-1.8 8.4% +/-2.8 6.9% +/-1.7 In 2-person carpool 5.1% +/-1.2 4.9% +/-1.6 5.3% +/-1.5 In 3-person carpool 2.0% +/-1.3 2.7% +/-2.3 1.2% +/-0.7 In 4-or-more person carpool 0.6% +/-0.5 0.8% +/-0.7 0.5% +/-0.6 Workers per car, truck, or van 1.22 +/-0.03 1.26 +/-0.05 1.17 +/-0.04 Public transportation (excluding taxicab) 2.9% +/-1.0 3.1% +/-1.6 2.6% +/-1.6 Walked 6.1% +/-1.1 7.9% +/-1.7 4.1% +/-1.5 Bicycle 0.8% +/-0.5 1.6% +/-0.9 0.0% +/-0.5 Taxicab, motorcycle, or other means 0.8% +/-0.6 1.1% +/-0.8 0.4% +/-0.5 Worked at home 3.0% +/-1.1 2.3% +/-1.2 3.8% +/-1.7 PLACE OF WORK Worked in state of residence 99.2% +/-0.4 98.9% +/-0.7 99.7% +/-0.4 Worked in county of residence 89.9% +/-2.1 86.1% +/-3.4 94.2% +/-1.8 Worked outside county of residence 9.4% +/-2.1 12.7% +/-3.5 5.4% +/-1.7 Worked outside state of residence 0.8% +/-0.4 1.1% +/-0.7 0.3% +/-0.4 Living in a place 59.8% +/-2.3 61.1% +/-3.2 58.3% +/-3.5 Worked in place of residence 31.5% +/-2.7 31.2% +/-3.9 31.8% +/-3.7 Worked outside place of residence 28.3% +/-2.5 29.9% +/-3.6 26.5% +/-3.2 Not living in a place 40.2% +/-2.3 38.9% +/-3.2 41.7% +/-3.5 Living in 12 selected states N N N N N N Worked in minor civil division of residence N N N N N N Worked outside minor civil division of residence N N N N N N Not living in 12 selected states N N N N N N Workers 16 years and over who did not work at home 69,407 +/-2,568 37,736 +/-1,697 31,671 +/-1,846 TIME LEAVING HOME TO GO TO WORK 12:00 a.m. to 4:59 a.m. 2.1% +/-0.7 2.1% +/-0.8 2.1% +/-1.2 5:00 a.m. to 5:29 a.m. 3.1% +/-1.0 4.3% +/-1.5 1.7% +/-0.9 5:30 a.m. to 5:59 a.m. 5.5% +/-1.6 7.3% +/-2.7 3.3% +/-1.4 6:00 a.m. to 6:29 a.m. 5.5% +/-1.3 7.2% +/-2.0 3.4% +/-1.5 6:30 a.m. to 6:59 a.m. 10.1% +/-1.9 8.6% +/-2.0 12.0% +/-3.0 7:00 a.m. to 7:29 a.m. 13.4% +/-2.1 14.7% +/-2.9 11.8% +/-2.6 7:30 a.m. to 7:59 a.m. 15.8% +/-2.0 13.6% +/-2.5 18.5% +/-3.2 8:00 a.m. to 8:29 a.m. 8.9% +/-1.7 7.8% +/-1.9 10.3% +/-2.7 8:30 a.m. to 8:59 a.m. 5.1% +/-1.2 4.0% +/-1.7 6.3% +/-1.8 9:00 a.m. to 11:59 p.m. 30.5% +/-2.4 30.5% +/-3.5 30.5% +/-3.3 TRAVEL TIME TO WORK Less than 10 minutes 20.6% +/-2.3 20.0% +/-2.9 21.3% +/-3.3 10 to 14 minutes 24.2% +/-2.4 25.1% +/-3.5 23.2% +/-3.4 15 to 19 minutes 22.1% +/-2.4 21.0% +/-3.0 23.5% +/-3.6 20 to 24 minutes 15.8% +/-2.2 15.8% +/-3.2 15.9% +/-2.4 25 to 29 minutes 3.5% +/-1.1 2.6% +/-1.3 4.5% +/-1.9 30 to 34 minutes 5.6% +/-1.4 5.3% +/-1.8 6.0% +/-1.8 35 to 44 minutes 1.9% +/-0.8 2.9% +/-1.4 0.6% +/-0.5 45 to 59 minutes 3.2% +/-1.4 3.1% +/-2.0 3.2% +/-1.5 60 or more minutes 3.1% +/-1.3 4.3% +/-2.2 1.7% +/-1.0 Mean travel time to work (minutes) 17.6 +/-1.3 18.5 +/-1.9 16.4 +/-1.1 VEHICLES AVAILABLE Workers 16 years and over in households 68,312 +/-2,474 36,858 +/-1,609 31,454 +/-1,808 No vehicle available 2.2% +/-1.0 2.6% +/-1.4 1.7% +/-0.9 1 vehicle available 23.2% +/-2.9 21.6% +/-3.7 25.1% +/-3.5 2 vehicles available 47.1% +/-3.7 47.4% +/-4.2 46.7% +/-4.6 3 or more vehicles available 27.5% +/-3.6 28.4% +/-4.0 26.5% +/-4.5 PERCENT IMPUTED Means of transportation to work 2.8% (X) (X) (X) (X) (X) Private vehicle occupancy 3.5% (X) (X) (X) (X) (X) Place of work 3.4% (X) (X) (X) (X) (X) Time leaving home to go to work 7.7% (X) (X) (X) (X) (X) Travel time to work 5.0% (X) (X) (X) (X) (X) Vehicles available 0.0% (X) (X) (X) (X) ( |
San Diego
Bicycle 0.8% California 0.8% City is same as state. Still less then 1%... dismal, considering the generally good cycling weather here. |
Colorado is 1.1%
Fort Collins, Colorado is 5.4% Would like to see both be higher... |
Vancouver, 3.3%
British Columbia, 2% |
Tempe, AZ: 4.0% bicycle (72% motor alone)
AZ: 0.7% bicycle (75% motor alone) |
It should surprise no one that St. Louis has some dismal numbers.
The highest mode share is a 0.7 for the City of St. Louis (combined, I suspect, with a high percentage of sidewalk riding). Also note the spectacular 0.0% mode share for St. Charles County (which has more workers than the City of St. Louis, BTW), not surprising considering the location of the Missouri River as well as other factors. __________________bicycle to work / # of workers United States_______ 0.5% +/-0.1 of 138,265,905 Missouri____________ 0.2% +/-0.1 of __2,741,377 St. Louis, MO-IL MSA 0.2% +/-0.1 of __1,321,905 St. Louis, MO-IL ua_ 0.3% +/-0.1 of ____998,463 St. Louis County,_MO 0.2% +/-0.1 of ____477,274 City of St. Louis___ 0.7% +/-0.4 of ____142,450 St. Charles CountyMO 0.0% +/-0.1 of ____177,202 Notes: MSA= Metropolitan Statistical Area ua = urbanized area St. Louis County does not include the city of. |
It was a slow day.
_____________bicycle to work / # of workers United States_________ 0.5% of 138,265,905 West__________________ 0.8% of _31,831,348 Midwest_______________ 0.4% of _31,457,396 Northeast_____________ 0.4% of _25,650,200 South_________________ 0.3% of _49,326,961 West Region: ______________bicycle to work / # of workers West__________________ 0.8% of _31,831,348 Alaska________________ 0.8% of ____317,371 Arizona_______________ 0.7% of __2,731,538 California____________ 0.8% of _16,335,802 Colorado______________ 1.1% of __2,392,520 Hawaii________________ 0.8% of ____629,113 Idaho_________________ 0.8% of ____674,920 Montana_______________ 1.3% of ____459,766 Nevada________________ 0.5% of __1,201,744 New Mexico____________ 0.6% of ____857,733 Oregon________________ 1.7% of __1,741,953 Utah__________________ 0.6% of __1,190,466 Washington____________ 0.7% of __3,030,099 Wyoming_______________ 1.1% of ____268,323 Midwest Region: ______________bicycle to work / # of workers Midwest_______________ 0.4% of _31,457,396 Illinois______________ 0.5% of __5,990,729 Indiana_______________ 0.4% of __2,951,039 Iowa__________________ 0.5% of __1,505,469 Kansas________________ 0.3% of __1,377,119 Michigan______________ 0.3% of __4,433,325 Minnesota_____________ 0.6% of __2,670,719 Missouri______________ 0.2% of __2,741,377 Nebraska______________ 0.5% of ____910,351 North Dakota__________ 0.5% of ____332,363 Ohio__________________ 0.2% of __5,325,529 South Dakota__________ 0.7% of ____398,229 Wisconsin_____________ 0.7% of __2,821,147 Northeast Region: _____________bicycle to work / # of workers Northeast_____________ 0.4% of _25,650,200 Connecticut___________ 0.3% of __1,714,985 Maine_________________ 0.4% of ____649,045 Massachusetts_________ 0.5% of __3,173,416 New Hampshire_________ 0.2% of ____685,446 New Jersey____________ 0.3% of __4,129,054 New York______________ 0.4% of __8,740,300 Pennsylvania__________ 0.3% of __5,720,060 Rhode Island__________ 0.2% of ____514,823 Vermont_______________ 0.5% of ____323,071 South Region: _____________bicycle to work / # of workers South_________________ 0.3% of _49,326,961 Alabama_______________ 0.1% of __1,964,398 Arkansas______________ 0.2% of __1,223,692 Delaware______________ 0.4% of ____398,315 Florida_______________ 0.5% of __8,143,041 Georgia_______________ 0.2% of __4,295,479 Kentucky______________ 0.1% of __1,837,225 Louisiana_____________ 0.4% of __1,807,758 Maryland______________ 0.3% of __2,813,342 Mississippi___________ 0.1% of __1,178,470 North Carolina________ 0.2% of __4,103,837 Oklahoma______________ 0.2% of __1,598,736 South Carolina________ 0.3% of __1,938,132 Tennessee_____________ 0.1% of __2,698,377 Texas_________________ 0.2% of _10,514,531 Virginia______________ 0.2% of __3,787,653 West Virginia_________ 0.1% of ____739,968 selected Urbanized Areas: Atlanta, GA ____________________ 0.1% of 1,979,928 Baltimore, MD __________________ 0.3% of 1,029,448 Boston, MA-NH-RI _______________ 0.7% of 2,036,204 Chicago, IL-IN _________________ 0.5% of 3,912,618 Cincinnati, OH-KY-IN ___________ 0.1% of __739,208 Cleveland, OH __________________ 0.2% of __793,416 Dallas-Fort Worth-Arlington, TX_ 0.2% of 2,179,299 Davis, CA Urbanized Area ______ 16.7% of ___30,904 Detroit, MI Urbanized Area _____ 0.2% of 1,643,926 Houston, TX Urbanized Area______ 0.3% of 2,023,433 Kansas City, MO--KS_____________ 0.1% of __702,093 LA--Long Beach--Santa Ana, CA___ 0.7% of 5,548,818 Miami, FL Urbanized Area________ 0.4% of 2,421,118 Milwaukee, WI Urbanized Area____ 0.4% of __620,996 Minneapolis--St. Paul, MN_______ 0.8% of 1,271,239 New York--Newark, NY--NJ--CT____ 0.4% of 8,306,641 Philadelphia, PA--NJ--DE--MD____ 0.4% of 2,393,306 Pittsburgh, PA Urbanized Area___ 0.3% of __783,280 Portland, OR--WA Urbanized Area_ 1.8% of __868,089 Riverside--San Bernardino, CA___ 0.5% of __765,803 Sacramento, CA Urbanized Area___ 0.7% of __676,462 San Diego, CA Urbanized Area____ 0.6% of 1,291,143 San Francisco--Oakland, CA______ 1.6% of 1,558,784 San Jose, CA Urbanized Area_____ 0.8% of __745,787 Santa Barbara, CA Urb. Area_____ 5.9% of ___88,669 Seattle, WA Urbanized Area______ 0.8% of 1,447,702 St. Louis, MO--IL Urb. Area_____ 0.3% of __998,463 Tampa--St. Petersburg, FL_______ 0.6% of 1,026,246 Washington, DC--VA--MD__________ 0.5% of 2,196,648 |
Place: Minnesota
Population: 2,670,719 Bicycle: .6 Place: Minneapolis Population: 193,591 Bicycle: 2.5 |
Virginia: .2%
Arlington, .6% Paul |
Originally Posted by JRA
(Post 6744766)
It was a slow day.
Davis, CA Urbanized Area ______ 16.7% of ___30,904 Portland, OR--WA Urbanized Area_ 1.8% of __868,089 San Francisco--Oakland, CA______ 1.6% of 1,558,784 Santa Barbara, CA Urb. Area_____ 5.9% of ___88,669 Now here are a couple that surprise me: Montana_______________ 1.3% of ____459,766 Wyoming_______________ 1.1% of ____268,323 And this too is interesting: Colorado______________ 1.1% of __2,392,520 But overall, I noticed a lot of leading ZEROS. |
Originally Posted by genec
(Post 6746707)
But overall, I noticed a lot of leading ZEROS.
But the data is biased. Because of the way the question was worded, I'm sure it significantly underestimates the bicycle mode share. The question was: How did this person usually get to work LAST WEEK? If this person usually used more than one method of transportation during the trip, mark (X) the box of the one used for most of the distance. -- Car, truck, or van -- Bus or trolley bus -- Streetcar or trolley car -- Subway or elevated -- Railroad -- Ferryboat -- Taxicab -- Motorcycle -- Bicycle -- Walked -- Worked at home In order to mark 'bicycle,' the person would have had to have usually gotten to work by bicycle in the previous week and used a bicycle for most of the trip. There might be no indication at all that they ever use a bicycle, even though they might frequently ride a bicycle to work. The question is biased against bicycling. A person might have bicycled to work twice in the previous week. They might have bicycled to work every day in other weeks. Yet they still wouldn't check 'bicycle'. And when was the survey taken? If it's the middle of January in Buffalo, New York, it shouldn't be surprising that fewer than one person in a hundred usually rode a bicycle for most of their trip to work. A less biased question would ask what modes of transportation are often used and allow for multiple answers. The way the question was asked could also partially explain why the West did better than other regions.
Originally Posted by genec
(Post 6746707)
Did you happen to notice the trend... those areas with over 1% ride share tended to be those places that work to accommodate cyclists...
I was impressed by the 0.8% figure for Alaska. That's higher than any state not in the West (although it only represents a few thousand workers who bicycle to work). I also notice that relatively high mode shares tend to be rather localized phenomena. All in all, I don't think the data is particularly useful. |
it's bike to work week starting on Monday and this mornings paper had an editorial on bike commuting.
http://www.canada.com/vancouversun/n...d-66619e547feb My figure was a little low. I said it's 3.3%, the editorial says it's 3.8% and it laments on a couple of the obstacles on the way to city officials goal of reaching 10% by 2010. They cite weather as a problem, and skirt over the small problem of " discourteous and distracted drivers, chatting on their cellphones as they jump another stop sign, arrogant and unrepentant, posing a life-threatening risk to riders" and then focus the best part of the piece on the bike theft problem. The city is also going over a proposal for a bike share program that is currently in use in Paris, France. If they manage to implement the program, I'd expect a large increase in ridership. Maybe it'll get close to that hoped for 10%. |
Colorado 1.1%
I guess my town of 2800 isn't listed. By my calculations, though, er... 1 person rides. |
Oregon 1.7%
Portland metro area: 1.8% Portland proper: 6% |
Originally Posted by JRA
(Post 6748686)
Yea, I noticed that, too.
But the data is biased. Because of the way the question was worded, I'm sure it significantly underestimates the bicycle mode share. |
Lincoln, NE 1.5%.
|
Originally Posted by JeffS
(Post 6783745)
Strange, I always assume that all non-car numbers are overestimated due to the "wishful thinking" error - meaning when people are polled there is a tendency to lie about facts to make themselves look better.
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