01-08-2023, 07:58 PM
Location: Whidbey paradise
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Quote:
Originally Posted by
rantiquity
I saw that an electric ferry is going to be built to service a island in the San Juan that has 86 people on it. Those residents are not happy as they like their current ferry as per interviews on a local TV station.
Another stupid Buttgiug idea
01-08-2023, 08:22 PM
Location: WA Desert, Seattle native
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Quote:
Originally Posted by
wolfdog
Another stupid Buttgiug idea
Consistent with US officials out of touch. Though the US helps with many of these projects, the locals do a better job of what is needed. It is a bad system but it is what we have.
01-09-2023, 07:27 AM
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He brings this up every now and then but never seems to remember me pointing out how dumb the argument is. From what I remember, in 2014 western Washington got about $100,000 in DOT funds more than they pay in. This was somewhat dwarfed by the billions extra that western Washington sent back in other tax dollars. So eastern Washington is looking at a profit of billions, but waaaah, they are treated so unfairly.
01-09-2023, 09:46 AM
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If you are curious about the actual figures, I looked them up again. It seems that the most recent figures that split DOT budgets by county are from 2014, so I used them. The data was from this:
https://wsdot.wa.gov/sites/default/f...ueHistory.xlsx
Bear in mind that King County's overspending for 2014 is double that of all of the previous years, so I guess they bought something big that year. At the other end of the table, Thurston County always brings in almost double what they spend, but I have no idea why that would be. So King County does overspend on transportation every year (but only 4th place in overspending%), but they also contribute excess funds through other taxes to the state that exceeds the entire DOT budget for the state. Spokane County is consistently a money pit for both.
I've reformatted everything into a more digestible form and posted it below. I added a column with the 2016 excess taxes paid, so you can see how how much comparatively they bring in for the state minus their costs. I don't have the 2014 figures for that, but I don't expect there to be a huge difference. No county is getting 40c on the dollar, the only one near that is Thurston County with 53, which is in Western Washington. But you can see that western Washington only gets 2% extra compared to the rest of the state, based on total revenues.
Listed in order of those who get the the least for their DOT dollar down to those who get the most. I've marked the western counties with * so you get to decide what central counties count as.
County _ DOT Total Revenue _ Total Expend _ Difference _____% _ Excess taxes
*Thurston ____ 135,373,416 _ 72,124,726 _ 63,248,690 _ 53.30% _ -139,000,000
Walla Walla ___ 26,623,999 _ 20,804,470 __ 5,819,530 _ 78.10% _ -53,700,000
*San Juan _____ 11,878,130 _ 10,060,029 __ 1,818,101 _ 84.70% _ 27,200,000
*Grays Harbor _ 28,871,811 _ 24,515,478 __ 4,356,332 _ 84.90% _ -80,200,000
Kittitas ______ 16,084,248 _ 13,797,204 __ 2,287,044 _ 85.80% _ 1,100,000
*Island _______ 29,750,628 _ 25,586,841 __ 4,163,788 _ 86.00% _ -27,700,000
Asotin _________ 6,207,603 __ 5,424,129 ____ 783,474 _ 87.40% _ -24,400,000
Stevens _______ 18,180,678 _ 16,548,700 __ 1,631,977 _ 91.00% _ -53,300,000
Ferry __________ 8,040,174 __ 7,332,595 ____ 707,580 _ 91.20% _ -7,100,000
Adams _________ 13,660,723 _ 12,490,379 __ 1,170,344 _ 91.40% _ -32,700,000
Yakima ________ 73,945,303 _ 67,922,627 __ 6,022,676 _ 91.90% _ -395,400,000
*Mason ________ 17,717,705 _ 16,744,325 ____ 973,380 _ 94.50% _ -68,500,000
Benton ________ 54,653,602 _ 51,856,787 __ 2,796,815 _ 94.90% _ -82,800,000
*Snohomish ___ 174,334,921 _ 166,799,062 _ 7,535,858 _ 95.70% _ -43,800,000
Grant _________ 35,611,754 _ 34,396,039 __ 1,215,715 _ 96.60% _ -97,500,000
Whitman _______ 18,846,332 _ 18,228,763 ____ 617,568 _ 96.70% _ -21,200,000
*Cowlitz ______ 33,410,532 _ 32,401,011 __ 1,009,522 _ 97.00% _ -95,700,000
Garfield _______ 3,228,606 __ 3,144,912 _____ 83,694 _ 97.40% _ -1,300,000
*Clallam ______ 25,545,211 _ 24,969,812 ____ 575,399 _ 97.70% _ -57,300,000
*Whatcom ______ 72,592,937 _ 71,262,838 __ 1,330,099 _ 98.20% _ -20,600,000
Pend Oreille ___ 5,492,566 __ 5,419,596 _____ 72,971 _ 98.70% _ -12,800,000
Okanogan ______ 16,696,624 _ 16,480,861 ____ 215,763 _ 98.70% _ -72,700,000
*Jefferson ____ 10,174,082 _ 10,096,862 _____ 77,220 _ 99.20% _ 100,000
Franklin ______ 17,473,614 _ 17,727,159 ___ -253,545 _ 101.50% _ -118,000,000
Columbia _______ 4,956,482 __ 5,051,969 ____ -95,486 _ 101.90% _ -1,900,000
*Kitsap _______ 63,122,134 _ 64,701,392 _ -1,579,257 _ 102.50% _ -142,600,000
*Skagit _______ 46,209,149 _ 47,365,838 _ -1,156,689 _ 102.50% _ 28,100,000
Klickitat _____ 13,488,927 _ 13,894,422 ___ -405,495 _ 103.00% _ -8,100,000
*Pierce ______ 277,170,713 _ 287,171,119 _ -10,000,406 _ 103.60% _ -507,900,000
*Pacific ______ 10,421,839 _ 10,811,973 ___ -390,134 _ 103.70% _ -21,200,000
Lincoln ________ 9,850,709 _ 10,332,883 ___ -482,174 _ 104.90% _ -13,900,000
*Wahkiakum _____ 6,377,371 __ 6,757,446 ___ -380,075 _ 106.00% _ -3,800,000
Chelan ________ 23,054,169 _ 24,510,495 _ -1,456,326 _ 106.30% _ 10,200,000
*Clark _______ 127,348,323 _ 135,891,669 _ -8,543,347 _ 106.70% _ -373,300,000
*Skamania ______ 4,446,411 __ 4,757,624 ___ -311,213 _ 107.00% _ -6,300,000
*King ________ 995,262,103 _ 1,077,414,160 _ -82,152,057 _ 108.30% _ 2,949,800,000
*Spokane _____ 152,393,341 _ 167,826,177 __ -15,432,836 _ 110.10% _ -350,400,000
*Lewis ________ 28,992,788 __ 34,384,772 ___ -5,391,984 _ 118.60% _ -61,500,000
Douglas _______ 20,318,056 __ 24,362,448 ___ -4,044,392 _ 119.90% _ -20,500,000
Total_______ 2,637,807,716 _ 2,661,369,592 _ -23,561,877 _ 100.90% _ -600,000
*Western ____ 2,251,393,545 ___ 2,291,643,154 _ -40,249,609 _ 101.79% __ 1,005,400,000
Not western ___ 386,414,169 _____ 369,726,438 __ 16,687,733 __ 95.68% _ -1,006,000,000
01-09-2023, 04:50 PM
Location: Embarrassing, WA
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Quote:
Originally Posted by
PS90
https://www.krem.com/article/money/e...5-b5916049746c
I don't think that this is surprising in any way. After all, King Jay can't see Spokane from the Space Needle, so he doesn't care about our votes.
I especially like this:
"Current priorities in the transportation budget include:
Improvements to traffic safety, like bike lanes
$1.12 billion over ten years for a hybrid-electric ferry system, plus more than $20 million on training and hiring ferry workers
Diversity, Equity, and Inclusion initiatives"
So, basically, a much-needed major arterial through Spokane is less important than bike lanes, brand-new ferries and "diversity initiatives".
How does this guy keep getting elected?
Oh, that's right - Seattle.
I was thinking the next progressive move is to convert all the lanes of our states highways into bicycle lanes. All the food and freight can stop at the border and get transferred into cargo bikes like in India. After they remove the Snake River dams we aren't going to have enough electricity for all this new age electric everything anyway. Maybe the people pedaling the bikes can be made to wear breathe-o-meters and get taxed for the C02 they omit.
01-09-2023, 08:48 PM
6,321 posts, read
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Reputation: 9450
Quote:
Originally Posted by
Transmition
If you are curious about the actual figures, I looked them up again. It seems that the most recent figures that split DOT budgets by county are from 2014, so I used them. The data was from this:
https://wsdot.wa.gov/sites/default/f...ueHistory.xlsx
Bear in mind that King County's overspending for 2014 is double that of all of the previous years, so I guess they bought something big that year. At the other end of the table, Thurston County always brings in almost double what they spend, but I have no idea why that would be. So King County does overspend on transportation every year (but only 4th place in overspending%), but they also contribute excess funds through other taxes to the state that exceeds the entire DOT budget for the state. Spokane County is consistently a money pit for both.
I've reformatted everything into a more digestible form and posted it below. I added a column with the 2016 excess taxes paid, so you can see how how much comparatively they bring in for the state minus their costs. I don't have the 2014 figures for that, but I don't expect there to be a huge difference. No county is getting 40c on the dollar, the only one near that is Thurston County with 53, which is in Western Washington. But you can see that western Washington only gets 2% extra compared to the rest of the state, based on total revenues....................
]
Thanks for posting the link, which went to a dead end.
BUT you need to include the Federal transportation dollars under the control of the Governor. I am sure you noticed those funding signs on the highway where the Fed's almost always pick up 90% of the costs. The state funds are just used as a match.
But your 2% extra for western Washington matches pretty close to my data analysis which shows that western Washington overpays for social services to the poor, elderly, and schools in eastern Washington and eastern Washington overpays for the freeways, bridges and ferries in western Washington.
In the end.....as I noted it is a push.
Can you fix the link....I would like to explore that data set.
01-09-2023, 10:10 PM
Location: WA
5,444 posts, read
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Reputation: 8554
Quote:
Originally Posted by
Transmition
If you are curious about the actual figures, I looked them up again. It seems that the most recent figures that split DOT budgets by county are from 2014, so I used them. The data was from this:
https://wsdot.wa.gov/sites/default/f...ueHistory.xlsx
Bear in mind that King County's overspending for 2014 is double that of all of the previous years, so I guess they bought something big that year. At the other end of the table, Thurston County always brings in almost double what they spend, but I have no idea why that would be. So King County does overspend on transportation every year (but only 4th place in overspending%), but they also contribute excess funds through other taxes to the state that exceeds the entire DOT budget for the state. Spokane County is consistently a money pit for both.
I've reformatted everything into a more digestible form and posted it below. I added a column with the 2016 excess taxes paid, so you can see how how much comparatively they bring in for the state minus their costs. I don't have the 2014 figures for that, but I don't expect there to be a huge difference. No county is getting 40c on the dollar, the only one near that is Thurston County with 53, which is in Western Washington. But you can see that western Washington only gets 2% extra compared to the rest of the state, based on total revenues.
Listed in order of those who get the the least for their DOT dollar down to those who get the most. I've marked the western counties with * so you get to decide what central counties count as.
County _ DOT Total Revenue _ Total Expend _ Difference _____% _ Excess taxes
*Thurston ____ 135,373,416 _ 72,124,726 _ 63,248,690 _ 53.30% _ -139,000,000
Walla Walla ___ 26,623,999 _ 20,804,470 __ 5,819,530 _ 78.10% _ -53,700,000
*San Juan _____ 11,878,130 _ 10,060,029 __ 1,818,101 _ 84.70% _ 27,200,000
*Grays Harbor _ 28,871,811 _ 24,515,478 __ 4,356,332 _ 84.90% _ -80,200,000
Kittitas ______ 16,084,248 _ 13,797,204 __ 2,287,044 _ 85.80% _ 1,100,000
*Island _______ 29,750,628 _ 25,586,841 __ 4,163,788 _ 86.00% _ -27,700,000
Asotin _________ 6,207,603 __ 5,424,129 ____ 783,474 _ 87.40% _ -24,400,000
Stevens _______ 18,180,678 _ 16,548,700 __ 1,631,977 _ 91.00% _ -53,300,000
Ferry __________ 8,040,174 __ 7,332,595 ____ 707,580 _ 91.20% _ -7,100,000
Adams _________ 13,660,723 _ 12,490,379 __ 1,170,344 _ 91.40% _ -32,700,000
Yakima ________ 73,945,303 _ 67,922,627 __ 6,022,676 _ 91.90% _ -395,400,000
*Mason ________ 17,717,705 _ 16,744,325 ____ 973,380 _ 94.50% _ -68,500,000
Benton ________ 54,653,602 _ 51,856,787 __ 2,796,815 _ 94.90% _ -82,800,000
*Snohomish ___ 174,334,921 _ 166,799,062 _ 7,535,858 _ 95.70% _ -43,800,000
Grant _________ 35,611,754 _ 34,396,039 __ 1,215,715 _ 96.60% _ -97,500,000
Whitman _______ 18,846,332 _ 18,228,763 ____ 617,568 _ 96.70% _ -21,200,000
*Cowlitz ______ 33,410,532 _ 32,401,011 __ 1,009,522 _ 97.00% _ -95,700,000
Garfield _______ 3,228,606 __ 3,144,912 _____ 83,694 _ 97.40% _ -1,300,000
*Clallam ______ 25,545,211 _ 24,969,812 ____ 575,399 _ 97.70% _ -57,300,000
*Whatcom ______ 72,592,937 _ 71,262,838 __ 1,330,099 _ 98.20% _ -20,600,000
Pend Oreille ___ 5,492,566 __ 5,419,596 _____ 72,971 _ 98.70% _ -12,800,000
Okanogan ______ 16,696,624 _ 16,480,861 ____ 215,763 _ 98.70% _ -72,700,000
*Jefferson ____ 10,174,082 _ 10,096,862 _____ 77,220 _ 99.20% _ 100,000
Franklin ______ 17,473,614 _ 17,727,159 ___ -253,545 _ 101.50% _ -118,000,000
Columbia _______ 4,956,482 __ 5,051,969 ____ -95,486 _ 101.90% _ -1,900,000
*Kitsap _______ 63,122,134 _ 64,701,392 _ -1,579,257 _ 102.50% _ -142,600,000
*Skagit _______ 46,209,149 _ 47,365,838 _ -1,156,689 _ 102.50% _ 28,100,000
Klickitat _____ 13,488,927 _ 13,894,422 ___ -405,495 _ 103.00% _ -8,100,000
*Pierce ______ 277,170,713 _ 287,171,119 _ -10,000,406 _ 103.60% _ -507,900,000
*Pacific ______ 10,421,839 _ 10,811,973 ___ -390,134 _ 103.70% _ -21,200,000
Lincoln ________ 9,850,709 _ 10,332,883 ___ -482,174 _ 104.90% _ -13,900,000
*Wahkiakum _____ 6,377,371 __ 6,757,446 ___ -380,075 _ 106.00% _ -3,800,000
Chelan ________ 23,054,169 _ 24,510,495 _ -1,456,326 _ 106.30% _ 10,200,000
*Clark _______ 127,348,323 _ 135,891,669 _ -8,543,347 _ 106.70% _ -373,300,000
*Skamania ______ 4,446,411 __ 4,757,624 ___ -311,213 _ 107.00% _ -6,300,000
*King ________ 995,262,103 _ 1,077,414,160 _ -82,152,057 _ 108.30% _ 2,949,800,000
*Spokane _____ 152,393,341 _ 167,826,177 __ -15,432,836 _ 110.10% _ -350,400,000
*Lewis ________ 28,992,788 __ 34,384,772 ___ -5,391,984 _ 118.60% _ -61,500,000
Douglas _______ 20,318,056 __ 24,362,448 ___ -4,044,392 _ 119.90% _ -20,500,000
Total_______ 2,637,807,716 _ 2,661,369,592 _ -23,561,877 _ 100.90% _ -600,000
*Western ____ 2,251,393,545 ___ 2,291,643,154 _ -40,249,609 _ 101.79% __ 1,005,400,000
Not western ___ 386,414,169 _____ 369,726,438 __ 16,687,733 __ 95.68% _ -1,006,000,000
So even though this is obviously way out of date, it seems that Spokane was doing better than any county in Puget Sound back then.
Why was King getting so much in 2014? Was that the big dig on the waterfront? Or was that something to do with Sound Transit? or the I-90 bridge across Lake Union? I don't recall exactly. But it would be more relevant to look at the decade-by-decade numbers since big transportation projects get spent over multi-year periods. The I-90 expansion from Seattle to Bellevue took over 20 years as I recall with the tunnels through Leschi and Mercer Island and the bridges.
Also the numbers don't look right to me. For example, where does your -350,400,000 excess tax dollars for Spokane come from compared to the 2,949,800,000 for King? Those numbers seem wildly off. That is 2.9 TRILLION for King which is more than the total tax revenue for the entire state.
Last edited by texasdiver; 01-09-2023 at 10:25 PM ..
01-10-2023, 08:40 AM
Location: Washington State. Not Seattle.
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Quote:
Originally Posted by
Transmition
He brings this up every now and then but never seems to remember me pointing out how dumb the argument is. From what I remember, in 2014 western Washington got about $100,000 in DOT funds more than they pay in. This was somewhat dwarfed by the billions extra that western Washington sent back in other tax dollars. So eastern Washington is looking at a profit of billions, but waaaah, they are treated so unfairly.
What does that have to do with anything?
Spokane is this state's second biggest city and this is a project that has been slowly getting funding trickling in since 2002. Now, King Inslee wants to reduce that funding even more - why?
Seattle can have a billion-dollar tunnel-driller sit broken for 3 years, but yet Spokane doesn't even get enough finding for a simple state highway...
And Spokane has held-up it's end of the deal at every step...
01-10-2023, 08:43 AM
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No one noticed that I accidentally included Spokane county in with western washington (there might be other mistakes too, I'm not perfect), so here are the corrected figures for west vs not-west:
Western ___ 2,099,000,204 _ 2,123,816,977 _ -24,816,773 _ 101.18% ___ 1,355,800,000
Not western _ 538,807,510 ___ 537,552,615 ___ 1,254,897 _ 99.77%__ _ -1,356,400,000
So western Washington gets almost 1.2 % extra and the non-west loses 0.3%. The figures for the excess taxes make more sense now too. These are $1.36 billion, not trillion. That's how much the west gives to the east, so I wouldn't call it a "push". To read the data correctly, you'll see that Spokane spent 10% more money that they had income, so they are one of the worst.
Looks like the link I got my WSDOT data from is dead now, I've loaded it here so people can see the raw numbers. Everything is split, and there is ten years of data there.
https://www.dropbox.com/s/w8x4615l2e...01_0.xlsx?dl=0
I only have WSDOT figures, so if you can find federal funding figures somewhere that splits the state then please point me at them. And more recent data would be nice too.
So I think I've killed this "Eastern Washington road spending is so unfair" myth again.
Last edited by Transmition; 01-10-2023 at 08:50 AM ..
Reason: added link
01-10-2023, 09:01 AM
Location: Washington State. Not Seattle.
2,251 posts, read
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Reputation: 3481
Quote:
Originally Posted by
Transmition
No one noticed that I accidentally included Spokane county in with western washington (there might be other mistakes too, I'm not perfect), so here are the corrected figures for west vs not-west:
Western ___ 2,099,000,204 _ 2,123,816,977 _ -24,816,773 _ 101.18% ___ 1,355,800,000
Not western _ 538,807,510 ___ 537,552,615 ___ 1,254,897 _ 99.77%__ _ -1,356,400,000
So western Washington gets almost 1.2 % extra and the non-west loses 0.3%. The figures for the excess taxes make more sense now too. These are $1.36 billion, not trillion. That's how much the west gives to the east, so I wouldn't call it a "push". To read the data correctly, you'll see that Spokane spent 10% more money that they had income, so they are one of the worst.
Looks like the link I got my WSDOT data from is dead now, I've loaded it here so people can see the raw numbers. Everything is split, and there is ten years of data there.
https://www.dropbox.com/s/w8x4615l2e...01_0.xlsx?dl=0
I only have WSDOT figures, so if you can find federal funding figures somewhere that splits the state then please point me at them. And more recent data would be nice too.
So I think I've killed this "Eastern Washington road spending is so unfair" myth again.
Okay.
Again - what does that have to do with this thread? Are you saying that King Inslee is pissed because he has to provide some small amount of tax revenue money to the entire state and not just his beloved Western WA, so that's why he's trying to pull the funding?
Literally every state has less populated areas that, by definition, do not generate the same tax revenue as the populated areas. Of course Eastern WA is going to generate less tax revenue due to less people, much higher percentage of non-tax-generating public lands, etc.
Those parts of this state, such as Eastern WA, are still the governor's responsibility, whether Inslee gives a damn or not.
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Travel time to work - Less than 5 minutes (% change since 2000)
Travel time to work - 5 to 9 minutes (%)
Travel time to work - 5 to 9 minutes (% change since 2000)
Travel time to work - 10 to 19 minutes (%)
Travel time to work - 10 to 19 minutes (% change since 2000)
Travel time to work - 20 to 29 minutes (%)
Travel time to work - 20 to 29 minutes (% change since 2000)
Travel time to work - 30 to 39 minutes (%)
Travel time to work - 30 to 39 minutes (% change since 2000)
Travel time to work - 40 to 59 minutes (%)
Travel time to work - 40 to 59 minutes (% change since 2000)
Travel time to work - 60 to 89 minutes (%)
Travel time to work - 60 to 89 minutes (% change since 2000)
Travel time to work - 90 or more minutes (%)
Travel time to work - 90 or more minutes (% change since 2000)
Marital status - Never married (%)
Marital status - Now married (%)
Marital status - Separated (%)
Marital status - Widowed (%)
Marital status - Divorced (%)
Median family income ($)
Median family income (% change since 2000)
Median non-family income ($)
Median non-family income (% change since 2000)
Median per capita income ($)
Median per capita income (% change since 2000)
Median family income ($) - White
Median family income ($) - Black or African American
Median family income ($) - Asian
Median family income ($) - Hispanic or Latino
Median family income ($) - American Indian and Alaska Native
Median family income ($) - Multirace
Median family income ($) - Other Race
Median year house/condo built
Median year apartment built
Year house built - Built 2005 or later (%)
Year house built - Built 2000 to 2004 (%)
Year house built - Built 1990 to 1999 (%)
Year house built - Built 1980 to 1989 (%)
Year house built - Built 1970 to 1979 (%)
Year house built - Built 1960 to 1969 (%)
Year house built - Built 1950 to 1959 (%)
Year house built - Built 1940 to 1949 (%)
Year house built - Built 1939 or earlier (%)
Average household size
Household density (households per square mile)
Average household size - White
Average household size - Black or African American
Average household size - Asian
Average household size - Hispanic or Latino
Average household size - American Indian and Alaska Native
Average household size - Multirace
Average household size - Other Race
Occupied housing units (%)
Vacant housing units (%)
Owner occupied housing units (%)
Renter occupied housing units (%)
Vacancy status - For rent (%)
Vacancy status - For sale only (%)
Vacancy status - Rented or sold, not occupied (%)
Vacancy status - For seasonal, recreational, or occasional use (%)
Vacancy status - For migrant workers (%)
Vacancy status - Other vacant (%)
Residents with income below the poverty level (%)
Residents with income below 50% of the poverty level (%)
Children below poverty level (%)
Poor families by family type - Married-couple family (%)
Poor families by family type - Male, no wife present (%)
Poor families by family type - Female, no husband present (%)
Poverty status for native-born residents (%)
Poverty status for foreign-born residents (%)
Poverty among high school graduates not in families (%)
Poverty among people who did not graduate high school not in families (%)
Residents with income below the poverty level (%) - White
Residents with income below the poverty level (%) - Black or African American
Residents with income below the poverty level (%) - Asian
Residents with income below the poverty level (%) - Hispanic or Latino
Residents with income below the poverty level (%) - American Indian and Alaska Native
Residents with income below the poverty level (%) - Multirace
Residents with income below the poverty level (%) - Other Race
Air pollution - Air Quality Index (AQI)
Air pollution - CO
Air pollution - NO2
Air pollution - SO2
Air pollution - Ozone
Air pollution - PM10
Air pollution - PM25
Air pollution - Pb
Crime - Murders per 100,000 population
Crime - Rapes per 100,000 population
Crime - Robberies per 100,000 population
Crime - Assaults per 100,000 population
Crime - Burglaries per 100,000 population
Crime - Thefts per 100,000 population
Crime - Auto thefts per 100,000 population
Crime - Arson per 100,000 population
Crime - City-data.com crime index
Crime - Violent crime index
Crime - Property crime index
Crime - Murders per 100,000 population (5 year average)
Crime - Rapes per 100,000 population (5 year average)
Crime - Robberies per 100,000 population (5 year average)
Crime - Assaults per 100,000 population (5 year average)
Crime - Burglaries per 100,000 population (5 year average)
Crime - Thefts per 100,000 population (5 year average)
Crime - Auto thefts per 100,000 population (5 year average)
Crime - Arson per 100,000 population (5 year average)
Crime - City-data.com crime index (5 year average)
Crime - Violent crime index (5 year average)
Crime - Property crime index (5 year average)
1996 Presidential Elections Results (%) - Democratic Party (Clinton)
1996 Presidential Elections Results (%) - Republican Party (Dole)
1996 Presidential Elections Results (%) - Other
2000 Presidential Elections Results (%) - Democratic Party (Gore)
2000 Presidential Elections Results (%) - Republican Party (Bush)
2000 Presidential Elections Results (%) - Other
2004 Presidential Elections Results (%) - Democratic Party (Kerry)
2004 Presidential Elections Results (%) - Republican Party (Bush)
2004 Presidential Elections Results (%) - Other
2008 Presidential Elections Results (%) - Democratic Party (Obama)
2008 Presidential Elections Results (%) - Republican Party (McCain)
2008 Presidential Elections Results (%) - Other
2012 Presidential Elections Results (%) - Democratic Party (Obama)
2012 Presidential Elections Results (%) - Republican Party (Romney)
2012 Presidential Elections Results (%) - Other
2016 Presidential Elections Results (%) - Democratic Party (Clinton)
2016 Presidential Elections Results (%) - Republican Party (Trump)
2016 Presidential Elections Results (%) - Other
2020 Presidential Elections Results (%) - Democratic Party (Biden)
2020 Presidential Elections Results (%) - Republican Party (Trump)
2020 Presidential Elections Results (%) - Other
Ancestries Reported - Arab (%)
Ancestries Reported - Czech (%)
Ancestries Reported - Danish (%)
Ancestries Reported - Dutch (%)
Ancestries Reported - English (%)
Ancestries Reported - French (%)
Ancestries Reported - French Canadian (%)
Ancestries Reported - German (%)
Ancestries Reported - Greek (%)
Ancestries Reported - Hungarian (%)
Ancestries Reported - Irish (%)
Ancestries Reported - Italian (%)
Ancestries Reported - Lithuanian (%)
Ancestries Reported - Norwegian (%)
Ancestries Reported - Polish (%)
Ancestries Reported - Portuguese (%)
Ancestries Reported - Russian (%)
Ancestries Reported - Scotch-Irish (%)
Ancestries Reported - Scottish (%)
Ancestries Reported - Slovak (%)
Ancestries Reported - Subsaharan African (%)
Ancestries Reported - Swedish (%)
Ancestries Reported - Swiss (%)
Ancestries Reported - Ukrainian (%)
Ancestries Reported - United States (%)
Ancestries Reported - Welsh (%)
Ancestries Reported - West Indian (%)
Ancestries Reported - Other (%)
Educational Attainment - No schooling completed (%)
Educational Attainment - Less than high school (%)
Educational Attainment - High school or equivalent (%)
Educational Attainment - Less than 1 year of college (%)
Educational Attainment - 1 or more years of college (%)
Educational Attainment - Associate degree (%)
Educational Attainment - Bachelor's degree (%)
Educational Attainment - Master's degree (%)
Educational Attainment - Professional school degree (%)
Educational Attainment - Doctorate degree (%)
School Enrollment - Nursery, preschool (%)
School Enrollment - Kindergarten (%)
School Enrollment - Grade 1 to 4 (%)
School Enrollment - Grade 5 to 8 (%)
School Enrollment - Grade 9 to 12 (%)
School Enrollment - College undergrad (%)
School Enrollment - Graduate or professional (%)
School Enrollment - Not enrolled in school (%)
School enrollment - Public schools (%)
School enrollment - Private schools (%)
School enrollment - Not enrolled (%)
Median number of rooms in houses and condos
Median number of rooms in apartments
Housing units lacking complete plumbing facilities (%)
Housing units lacking complete kitchen facilities (%)
Density of houses
Urban houses (%)
Rural houses (%)
Households with people 60 years and over (%)
Households with people 65 years and over (%)
Households with people 75 years and over (%)
Households with one or more nonrelatives (%)
Households with no nonrelatives (%)
Population in households (%)
Family households (%)
Nonfamily households (%)
Population in families (%)
Family households with own children (%)
Median number of bedrooms in owner occupied houses
Mean number of bedrooms in owner occupied houses
Median number of bedrooms in renter occupied houses
Mean number of bedrooms in renter occupied houses
Median number of vehichles in owner occupied houses
Mean number of vehichles in owner occupied houses
Median number of vehichles in renter occupied houses
Mean number of vehichles in renter occupied houses
Mortgage status - with mortgage (%)
Mortgage status - with second mortgage (%)
Mortgage status - with home equity loan (%)
Mortgage status - with both second mortgage and home equity loan (%)
Mortgage status - without a mortgage (%)
Average family size
Average family size - White
Average family size - Black or African American
Average family size - Asian
Average family size - Hispanic or Latino
Average family size - American Indian and Alaska Native
Average family size - Multirace
Average family size - Other Race
Geographical mobility - Same house 1 year ago (%)
Geographical mobility - Moved within same county (%)
Geographical mobility - Moved from different county within same state (%)
Geographical mobility - Moved from different state (%)
Geographical mobility - Moved from abroad (%)
Place of birth - Born in state of residence (%)
Place of birth - Born in other state (%)
Place of birth - Native, outside of US (%)
Place of birth - Foreign born (%)
Housing units in structures - 1, detached (%)
Housing units in structures - 1, attached (%)
Housing units in structures - 2 (%)
Housing units in structures - 3 or 4 (%)
Housing units in structures - 5 to 9 (%)
Housing units in structures - 10 to 19 (%)
Housing units in structures - 20 to 49 (%)
Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
Renter moved in on average (years ago)
Year householder moved into unit - Moved in 1999 to March 2000 (%)
Year householder moved into unit - Moved in 1995 to 1998 (%)
Year householder moved into unit - Moved in 1990 to 1994 (%)
Year householder moved into unit - Moved in 1980 to 1989 (%)
Year householder moved into unit - Moved in 1970 to 1979 (%)
Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
Means of transportation to work - Public transportation (%)
Means of transportation to work - Bus or trolley bus (%)
Means of transportation to work - Streetcar or trolley car (%)
Means of transportation to work - Subway or elevated (%)
Means of transportation to work - Railroad (%)
Means of transportation to work - Ferryboat (%)
Means of transportation to work - Taxicab (%)
Means of transportation to work - Motorcycle (%)
Means of transportation to work - Bicycle (%)
Means of transportation to work - Walked (%)
Means of transportation to work - Other means (%)
Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
Most Common Industries - Agriculture, forestry, fishing and hunting (%)
Most Common Industries - Mining, quarrying, and oil and gas extraction (%)
Most Common Industries - Construction (%)
Most Common Industries - Manufacturing (%)
Most Common Industries - Wholesale trade (%)
Most Common Industries - Retail trade (%)
Most Common Industries - Transportation and warehousing, and utilities (%)
Most Common Industries - Transportation and warehousing (%)
Most Common Industries - Utilities (%)
Most Common Industries - Information (%)
Most Common Industries - Finance and insurance, and real estate and rental and leasing (%)
Most Common Industries - Finance and insurance (%)
Most Common Industries - Real estate and rental and leasing (%)
Most Common Industries - Professional, scientific, and management, and administrative and waste management services (%)
Most Common Industries - Professional, scientific, and technical services (%)
Most Common Industries - Management of companies and enterprises (%)
Most Common Industries - Administrative and support and waste management services (%)
Most Common Industries - Educational services, and health care and social assistance (%)
Most Common Industries - Educational services (%)
Most Common Industries - Health care and social assistance (%)
Most Common Industries - Arts, entertainment, and recreation, and accommodation and food services (%)
Most Common Industries - Arts, entertainment, and recreation (%)
Most Common Industries - Accommodation and food services (%)
Most Common Industries - Other services, except public administration (%)
Most Common Industries - Public administration (%)
Occupation diversity
Most Common Occupations - Management, business, science, and arts occupations (%)
Most Common Occupations - Management, business, and financial occupations (%)
Most Common Occupations - Management occupations (%)
Most Common Occupations - Business and financial operations occupations (%)
Most Common Occupations - Computer, engineering, and science occupations (%)
Most Common Occupations - Computer and mathematical occupations (%)
Most Common Occupations - Architecture and engineering occupations (%)
Most Common Occupations - Life, physical, and social science occupations (%)
Most Common Occupations - Education, legal, community service, arts, and media occupations (%)
Most Common Occupations - Community and social service occupations (%)
Most Common Occupations - Legal occupations (%)
Most Common Occupations - Education, training, and library occupations (%)
Most Common Occupations - Arts, design, entertainment, sports, and media occupations (%)
Most Common Occupations - Healthcare practitioners and technical occupations (%)
Most Common Occupations - Health diagnosing and treating practitioners and other technical occupations (%)
Most Common Occupations - Health technologists and technicians (%)
Most Common Occupations - Service occupations (%)
Most Common Occupations - Healthcare support occupations (%)
Most Common Occupations - Protective service occupations (%)
Most Common Occupations - Fire fighting and prevention, and other protective service workers including supervisors (%)
Most Common Occupations - Law enforcement workers including supervisors (%)
Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
Most Common Occupations - Personal care and service occupations (%)
Most Common Occupations - Sales and office occupations (%)
Most Common Occupations - Sales and related occupations (%)
Most Common Occupations - Office and administrative support occupations (%)
Most Common Occupations - Natural resources, construction, and maintenance occupations (%)
Most Common Occupations - Farming, fishing, and forestry occupations (%)
Most Common Occupations - Construction and extraction occupations (%)
Most Common Occupations - Installation, maintenance, and repair occupations (%)
Most Common Occupations - Production, transportation, and material moving occupations (%)
Most Common Occupations - Production occupations (%)
Most Common Occupations - Transportation occupations (%)
Most Common Occupations - Material moving occupations (%)
People in Group quarters - Institutionalized population (%)
People in Group quarters - Correctional institutions (%)
People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
People in Group quarters - Other hospitals or wards for chronically ill (%)
People in Group quarters - Hospitals or wards for drug/alcohol abuse (%)
People in Group quarters - Mental (Psychiatric) hospitals or wards (%)
People in Group quarters - Schools, hospitals, or wards for the mentally retarded (%)
People in Group quarters - Schools, hospitals, or wards for the physically handicapped (%)
People in Group quarters - Institutions for the deaf (%)
People in Group quarters - Institutions for the blind (%)
People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)