07-22-2020, 12:21 PM
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Quote:
Originally Posted by
EDS_
Bag on Paxton all you'd like but he's simply being practical. The state does not have the power to tightly regulate small group religious gatherings. There would be instant lawsuits etc.
It smells bad but it's the right call.
This is interesting to think about in light of the recent Montana religious school case at the US Supreme Court (which I disagreed with). Paxton's action treats religious school gatherings as inherently religious acts, whereas the court decision would seem to imply that religious school gatherings are essentially school gatherings by religious people. Also, Paxton's move is really just the opposite of what the US Supreme Court case mandated -- the SC ruled that the state must treat religious private school students and non-religious private school students the same, so a ruling that specifically grants an exemption to religious private schools that isn't granted to non-religious private schools would seem to open the state up to a lawsuit from non-religious private schools.
Quote:
Originally Posted by
CHRockwell
I focus on DFW numbers because the moderator told me to.
I agree that it will likely kill 3 times more people than the flu. I have no clue if it is more deadly (nor do you) since I consider deadly the rate at which its kills as does pretty much anyone else in an article that discusses "how deadly something is". I consider a plane crash much more deadly than a car crash and yet far more people will die in car crashes. In Dallas it will kill 80-100 times more maybe. Much ado about nothing. It's 1000-1700 people in Dallas by the time it is done. This is a blip. You still don't understand the Iowa reference. Iowa is the same distance from DFW as El Paso (or pretty close) yet you somehow think El Paso numbers are relevant in a discussion about DFW (since you used TX numbers many times) and Iowa number are not and yet they are the same distance. Your other argument is that EL Paso numbers are more relevant to DFW (again since you use TX numbers many times)than OKC numbers (which you never reference) are, since you focus on "Texas" numbers and not anything related to OK. My point is Iowa has the same relevance as El Paso which is little to none and any numbers that have El Paso or South TX numbers in them are irrelevant and should be removed, but you can't seem to grasp that. The point, which you now have missed about 10 times is that if you want to discuss covid numbers as they relate to Dallas you might as well use Iowa numbers since it is about the same distance as El Paso. Oh and let's not forget at the end of the day you actually were the one that said Iowa is further away than El Paso and you were what? WRONG....OKC numbers should be being discussed more than TX numbers as they relate to Dallas since many people move from and to that city when in regards to the Dallas area that TX numbers which explained once again (for the 10th time) have numbers in them that have littler to no relevance to DFW. Me crossing my fingers that you finally understand this now.
https://theconversation.com/whats-mo...ties-are-72505
Yeah that article shows that once again you are mistaken. Talks about rates not nominal numbers. When people talk about how deadly something is it is pretty much in terms of 1 in X. Of course you don't and will argue against that because here you argue with anyone and everyone.
https://blogs.scientificamerican.com...y-is-covid-19/
This literally is called how deadly is covid and discusses rates not nominal numbers.
1. You are using "deadly" to refer to how serious of a risk Covid presents. You can't then turn around and say "deadly" only means "death rate." All sorts of things have a very high death rate but don't represent serious societal risks. For example, polar bear attacks have a much higher death rate than car crashes, but car crashes are a much more serious societal risk due to their much higher prevalence.
2. Your reasoning regarding the Iowa thing is as bad of reasoning as I've ever seen on the internet. The officially-released numbers of the state of Texas will have a weighted geographic average that is much closer than the average for Iowa's numbers. This is indisputable. The fact that there's some tiny town just across the border of Iowa that is slightly closer than El Paso doesn't mean the Texas numbers are not, on average, much closer to DFW.
Like I said, you will bite any bullet, no matter how big, before you admit that you are wrong.
07-22-2020, 01:38 PM
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Quote:
Originally Posted by
EDS_
As you may recall I'm an atheist so I don't have any skin in the religious game as it were. Keeping the state in any form so much as possible out of religious activities/practices has been a hallmark of civil liberty in this country for a very long time. Frankly, and as you know it was a founding ideal of our country.
For the record there are legions of US based religious people who are not republicans.
I know there are. But it seems to be a loud contingency of conspiracy-theory believing, science denying, selfish Evangelical Christians that have gotten us all up a **** creek with Covid. I’m not saying they are all bad people. But gosh, a large and loud percentage of them sure are.
The people on my Facebook feeds who are Muslim, Jewish, atheist and Hindu aren’t all up in arms about masks being an infringement on their freedoms and blaming their mosques for for their kids catching covid at summer camp.
07-22-2020, 01:46 PM
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NEW: Dallas County Reports Record Hospitalizations, 413 Additional Positive 2019 Novel Coronavirus (COVID-19) Cases, and 30 Deaths
https://twitter.com/JudgeClayJ/statu...217083393?s=20
Another day of declining cases, but deaths are very high for a single day in Dallas County. I'm guessing the deaths will continue to be high for the next week or so, given that we had a few straight days of 1,000+ cases.
Not great news, but glad to see that cases are starting to decrease.
07-22-2020, 01:56 PM
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Quote:
Originally Posted by
Wittgenstein's Ghost
This is interesting to think about in light of the recent Montana religious school case at the US Supreme Court (which I disagreed with). Paxton's action treats religious school gatherings as inherently religious acts, whereas the court decision would seem to imply that religious school gatherings are essentially school gatherings by religious people. Also, Paxton's move is really just the opposite of what the US Supreme Court case mandated -- the SC ruled that the state must treat religious private school students and non-religious private school students the same, so a ruling that specifically grants an exemption to religious private schools that isn't granted to non-religious private schools would seem to open the state up to a lawsuit from non-religious private schools.
1. You are using "deadly" to refer to how serious of a risk Covid presents. You can't then turn around and say "deadly" only means "death rate." All sorts of things have a very high death rate but don't represent serious societal risks. For example, polar bear attacks have a much higher death rate than car crashes, but car crashes are a much more serious societal risk due to their much higher prevalence.
2. Your reasoning regarding the Iowa thing is as bad of reasoning as I've ever seen on the internet. The officially-released numbers of the state of Texas will have a weighted geographic average that is much closer than the average for Iowa's numbers. This is indisputable. The fact that there's some tiny town just across the border of Iowa that is slightly closer than El Paso doesn't mean the Texas numbers are not, on average, much closer to DFW.
Like I said, you will bite any bullet, no matter how big, before you admit that you are wrong.
Point 1 is spot on. No issue with it with the understanding that some people use a rate when talking about how deadly something is, others might use nominal numbers. Neither are wrong in doing so. Point 2) The fact that you think numbers that incorporate El Paso are more relevant than Iowa (or Nebraska for that matter) is just flat out wrong. For DFW, numbers in and around DFW are obviously more relevant but after that distance is distance and closer is going to be more relevant. Nobody in the medical industry would agree that El Paso is more relevant to DFW than say OKC and that is due to distance yet you use TX numbers multiple times which incorporates far too many irrelevant numbers. So no I wasn't wrong because I agree that Iowas is not relevant. El Paso is about as relevant as Iowa which is pretty much not at all and of course you forget the actual statement you made regarding Iowas which is that the state of Iowa is not the same distance as El Paso and it is and always has been which was the actual statement you made. Of course you don't want to talk about that because as has been seen with numerous posters numerous times on this board you got called out for a mistake you made. To summate I certainly wouldn't use TX numbers when discussing DFW (due to too many cities much too far away like El Paso) and of course I wouldn't use Iowa's. Of course you will try to argue why Iowa isn't relevant again which I have no disagreement with, but you can't seem to grasp that El Paso And a bunch of other places south) is also not relevant and yet you will continue to use those numbers when dissecting DFW.
Last edited by CHRockwell; 07-22-2020 at 02:07 PM ..
07-22-2020, 02:17 PM
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Quote:
Originally Posted by
Wittgenstein's Ghost
This is interesting to think about in light of the recent Montana religious school case at the US Supreme Court (which I disagreed with). Paxton's action treats religious school gatherings as inherently religious acts, whereas the court decision would seem to imply that religious school gatherings are essentially school gatherings by religious people. Also, Paxton's move is really just the opposite of what the US Supreme Court case mandated -- the SC ruled that the state must treat religious private school students and non-religious private school students the same, so a ruling that specifically grants an exemption to religious private schools that isn't granted to non-religious private schools would seem to open the state up to a lawsuit from non-religious private schools.
If you’re referring to Espinoza v. Montana Department of Revenue, thats a perplexingly bad reading of that case and not what it stands for at all.
07-22-2020, 02:19 PM
307 posts, read
476,978 times
Reputation: 535
Quote:
Originally Posted by
TurtleCreek80
I know there are. But it seems to be a loud contingency of conspiracy-theory believing, science denying, selfish Evangelical Christians that have gotten us all up a **** creek with Covid.
You ought to check out the zip code maps of dallas county and where the most cases are, and look at who lives in those areas. It’s not selfish evangelical Christians.
07-22-2020, 02:54 PM
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Reputation: 123
Quote:
Originally Posted by
Dr. Jake Oil
You ought to check out the zip code maps of dallas county and where the most cases are, and look at who lives in those areas. It’s not selfish evangelical Christians.
Here you go.
https://www.fox4news.com/news/dallas...covid-19-cases
07-22-2020, 03:06 PM
13,194 posts, read
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Reputation: 13142
Quote:
Originally Posted by
Dr. Jake Oil
You ought to check out the zip code maps of dallas county and where the most cases are, and look at who lives in those areas. It’s not selfish evangelical Christians.
Obviously the hardest hit zip codes are where essential workers live. They’re at the mercy of the general public’s mask compliance.
07-22-2020, 03:09 PM
307 posts, read
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Quote:
Originally Posted by
TurtleCreek80
Obviously the hardest hit zip codes are where essential workers live. They’re at the mercy of the general public’s mask compliance.
Naturally.
Any science behind the claim that evangelical Christians are the ones who have infected the essential workers of Dallas County, or is that just your bias showing?
07-22-2020, 03:53 PM
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Reputation: 13142
Quote:
Originally Posted by
Dr. Jake Oil
Naturally.
Any science behind the claim that evangelical Christians are the ones who have infected the essential workers of Dallas County, or is that just your bias showing?
Not bias. Actual documented research showing Evangelical Christians are the most the most resistant to mask wearing:
The one area where white evangelicals fall far behind? Mask wearing. A white evangelical under the age of 35 is 13 percentage points less likely to wear a mask in public than the same age group in the general population (58.7% vs. 71.8%)
Source:
https://www.christianitytoday.com/ne...ing-masks.html
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Racial diversity
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Unemployment (%) - White
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Total test results (Apr 18, 2022)
COVID Vaccine doses distributed (per 100k population) (Sep 19, 2023)
COVID Vaccine doses administered (per 100k population) (Sep 19, 2023)
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Mean house or condo value by units in structure - 1, detached ($)
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Mean house or condo value by units in structure - 2 ($)
Mean house or condo value by units in structure by units in structure - 3 or 4 ($)
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Mean house or condo value by units in structure - Boat, RV, van, etc. ($)
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Commute - mean travel time to work (minutes)
Travel time to work - Less than 5 minutes (%)
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Median year house/condo built
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Average household size
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Occupied housing units (%)
Vacant housing units (%)
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Vacancy status - For rent (%)
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Residents with income below the poverty level (%)
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Air pollution - Air Quality Index (AQI)
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Crime - Murders per 100,000 population
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1996 Presidential Elections Results (%) - Democratic Party (Clinton)
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2000 Presidential Elections Results (%) - Democratic Party (Gore)
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2004 Presidential Elections Results (%) - Democratic Party (Kerry)
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2016 Presidential Elections Results (%) - Democratic Party (Clinton)
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Educational Attainment - No schooling completed (%)
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School Enrollment - Nursery, preschool (%)
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School Enrollment - Graduate or professional (%)
School Enrollment - Not enrolled in school (%)
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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 (%)
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Population in households (%)
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Median number of bedrooms in owner occupied houses
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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
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Average family size - American Indian and Alaska Native
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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 (%)
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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 (%)
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Means of transportation to work - Railroad (%)
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Means of transportation to work - Motorcycle (%)
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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 (%)
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Most Common Industries - Administrative and support and waste management services (%)
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Most Common Industries - Arts, entertainment, and recreation (%)
Most Common Industries - Accommodation and food services (%)
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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 (%)