Tom Stormcrowe
05-22-08, 08:11 AM
Tippecanoe County, Indiana S0801. Commuting Characteristics by Sex http://factfinder.census.gov/img/metadata_icon.gif (javascript:openMetadataBrowser('STtable', 'ACS_2006_EST_G00_', 'table=ACS_2006_EST_G00_S0801', '_lang=en'))
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 (javascript:openExplanation('en','exp_acs2006.html')).
Subject
Total
Margin of Error (javascript:openGlossary('glossary_m.html#margin_of_error_moe'))
Male
Margin of Error (javascript:openGlossary('glossary_m.html#margin_of_error_moe'))
Female
Margin of Error (javascript:openGlossary('glossary_m.html#margin_of_error_moe'))
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)
(
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
It was a slow day.
Did you happen to notice the trend... those areas with over 1% ride share tended to be those places that work to accommodate cyclists...
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.
But overall, I noticed a lot of leading ZEROS.
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.
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.
Did you happen to notice the trend... those areas with over 1% ride share tended to be those places that work to accommodate cyclists...
That's true but the ones you list are also all on the West coast and some are also college towns. There are multiple factors at work.
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.
Bikeforums.net is a forum about nothing but bikes. Our community can help you find information about hard-to-find and localized information like bicycle tours, specialties like where in your area to have your recumbent bike serviced, or what are the best bicycle tires and seats for the activities you use your bike for.