11-01-2020, 06:16 PM
Location: Maine
6,631 posts, read
13,549,405 times
Reputation: 7381
Quote:
Originally Posted by
roadrat
The polls are not open only absentee ballots and early voting, early voting is very strict, masks and distancing are mandatory in city halls.
Seriously! I'm laughing at myself.
They're voting in record numbers but certainly not at the polls.
Quote:
Originally Posted by
roadrat
Like I said kids have been back in school for over a month.
Something smells like corruption to me, what's to stop jackboot Janet? Our legislators? Gideon has quit her job and is now a full time campaigner.
I don't think there's any corruption but Gideon quitting her job does annoy me.
11-11-2020, 07:56 AM
Location: Northern Maine
10,428 posts, read
18,694,037 times
Reputation: 11563
Makes sense to me. When big time donors give you $44,000,000, you don't need to work some other job. All the people down on the coast who had "Bye Bye Susan" stickers can take them off their $60,000 pickups now.
Last edited by Northern Maine Land Man; 11-11-2020 at 08:12 AM ..
11-12-2020, 05:04 PM
Location: On a Slow-Sinking Granite Rock Up North
3,638 posts, read
6,171,577 times
Reputation: 2677
Quote:
Originally Posted by
tarragon
Hospitals get a $30k bonus? Where did you hear this? I work for a surgeon and I have never heard this.
That's because it's largely BS.
Hospitals that have high number of COVID cases do receive some funding to offset the costs associated with dealing with COVID-19 (Coronavirus) because if they didn't, they'd fold financially. The caveat is that they have to meet a certain number of positive tests before they qualify. Some small facilities are deemed "Critical Access Hospitals," and they are funded accordingly. CA Dean in Greenville is tiny and was sucked under Northern Lights foundation umbrella years ago, because if it didn't, it would be closed by now. It's considered a critical access hospital.
"Bonus?" No. A tourniquet for small institutions that were already in the hole before COVID-19 hit? Yes.
Many not-for-profit hospitals have been figuratively hemorrhaging money for decades now, but with COVID-19 taxing their already stressed budgets, it's downright alarming. The problem is, it's also very cloaked in a total lack of transparency between insurance companies, medical equipment corporations, pharmaceutical companies and supply chains.
Now, that said, some of it is a direct result of misguided administration choosing to purchase the most ridiculously expensive, EMR software because they were suckered into believing it would have a great ROI. What EMR (electronic medical records) basically is, is a statistics-driven cash register that many mega for-profit hospitals use. I highly recommend the book "The Price We Pay" by Marty Makary, MD. It illustrates beautifully what I've been watching up close and personal for 32 years when it comes to the "free market" of healthcare reimbursement.
In fact, here's a free download of it if you can't afford to buy the book on amazon.
https://www.academia.edu/40657180/Th...arty_Makary_MD
As is evident in the number of smaller, more rural hospitals being eaten up by larger institutions in the state of Maine, they can't compete. At. All. So much for the "free market."
When I hear people complain that hospitals are being paid extra for COVID-19 patients and are ripping off the system, I feel compelled to explain that it's not as simple as doing it for some sort of benefit. They are pretty much doing it to stay solvent at this point (at least the smaller ones - the "Wal-Mart model" of mega corporate hospitals, are an entirely different animal). They'll be just fine because they know how to work the system with insurance companies and have large lobbyists presence in DC.
Here's the thing: Strict protocols for dealing with COVID-19 positive, or potentially positive patients, are in place because this is a novel virus which is causing ALL SORTS of ancillary issues in many patients, such as blood clots, strokes, pulmonary embolisms, etc. They know a lot more than they did in March, but they still haven't truly found out what makes it tick. We have a large number of sick people in this state. Heart disease, COPD, diabetes, you name it, we've got it. We're also among the "grayest" states, so with that comes a greater number of patient load. A person can have a chronic disease like heart disease or COPD, and be managing it just fine until COVID-19 comes along and kills them. This is where numbers are misleading. They may have had COVID secondary to a heart attack, but COVID still caused the blood clot that blocked the artery.
So, basically it's a crap shoot how anyone would react to it. Will I have any symptoms at all? Will I have a simple fever and a few days of discomfort? Will I be flat on my back for a week? A month? Will I be in a respiratory unit on oxygen, or will I be face-down in an ICU intubated, and with a tube in every orifice?
Who wants to spin that Wheel of Fortune? Then we have the people who have no symptoms and believe that it's all bunk, but they happen to carry a heavy viral load, so they spread it all over the place, just like Typhoid Mary did in the 1800's.
If a surge in a particular area happens, hospitals have strict protocols for a reason. They are finding that the more viral load an employee is exposed to, the more likely they will not only catch it, but will likely have far more chance of the worst possible outcome of death due to repeated exposure (and that has happened all over the world).
Every time a medical person has to enter a room, they must don new PPE. A nurse could go into a patient's room several times a day, not to mention how many times a CNA has to go in to care for the patient. And, too, lab techs, xray techs, and other ancillary team members must gown and glove up.
This constant donning of gloves, gowns, masks, shields, etc. is not cheap.
Now you have a virus which doesn't come with a neon warning sign when a car accident victim rolls into an ER. So those workers must absolutely be sure that they are donning appropriate protection, and the patient will be swabbed for COVID-19. The ER workers cannot sit around and wait for a COVID-19 test to come back, less the patient dies of the injuries sustained in the accident.
Now try to imagine a facility that is short-staffed, trying to staff an ER should a worker pop a positive and have to quarantine. They may have to hire traveling providers and staff through an agency, and that ain't cheap either.
Those monies must be recouped. You can't run any business on no incoming revenue.
What's the first thing that any good Nursing Supervisor does when money is tight? They call off RN's and CNA's and then divide the ensuing patient load among who's left. Some nurses throughout the US never were called back from furlough because of budget cuts. Needless to say that burdens who's left with more tasks. Add to it having to spend up to 2 hours after they were supposed to clock out just on documentation, and it's a wonder we have any young people willing to go into the profession.
And truly, 90% of it now is clicking boxes on an EMR for "documentation" to the cash register so the insurance company and government programs will pay for services rendered. We need to pay attention. There is no Black Friday in healthcare to offset the periods of low sales. There is nothing to "produce" in healthcare.
Sometimes I think this country won't be happy until they've closed every facility around, and then they'll complain that there's no access to healthcare.
12-19-2020, 04:19 PM
164 posts, read
189,270 times
Reputation: 465
Bravo cebdark
01-15-2021, 03:59 PM
Location: Log "cabin" west of Bangor
7,057 posts, read
9,086,353 times
Reputation: 15634
Quote:
So, basically it's a crap shoot how anyone would react to it. Will I have any symptoms at all? Will I have a simple fever and a few days of discomfort? Will I be flat on my back for a week? A month? Will I be in a respiratory unit on oxygen, or will I be face-down in an ICU intubated, and with a tube in every orifice?
Who wants to spin that Wheel of Fortune? Then we have the people who have no symptoms and believe that it's all bunk, but they happen to carry a heavy viral load, so they spread it all over the place, just like Typhoid Mary did in the 1800's.
If a surge in a particular area happens, hospitals have strict protocols for a reason. They are finding that the more viral load an employee is exposed to, the more likely they will not only catch it, but will likely have far more chance of the worst possible outcome of death due to repeated exposure (and that has happened all over the world).
Every time a medical person has to enter a room, they must don new PPE. A nurse could go into a patient's room several times a day, not to mention how many times a CNA has to go in to care for the patient. And, too, lab techs, xray techs, and other ancillary team members must gown and glove up.
This constant donning of gloves, gowns, masks, shields, etc. is not cheap.
Now you have a virus which doesn't come with a neon warning sign when a car accident victim rolls into an ER. So those workers must absolutely be sure that they are donning appropriate protection, and the patient will be swabbed for COVID-19. The ER workers cannot sit around and wait for a COVID-19 test to come back, less the patient dies of the injuries sustained in the accident.
Excellent post cebdark.
I had to go to the ER in Oct. Even though I had been very, very careful, I was sick. Covid symptoms, trouble breathing, heart rate rising and O2 dropping. My heart rate in the AM can be in the low 40s, around 55-60 during the day. When my O2 dropped to 90 and my heart rate went up to 90 I knew I needed help.
I was whisked into a negative pressure room within minutes. Every person that came in had to don gear, and removed it before they went out, all that stuff went in the trash again and again until they finally determined just what, exactly, the infection was. Fortunately for me, it wasn't Covid. Covid will probably kill me- Age, COPD, HBP and a hole in my heart do not favor my odds of survival.
A couple of bags of heavy-duty antibiotics, plus fluids and I was walking back out 8 hours later (though they said that if I had waited any longer to come in, I wouldn't have been walking out...not any time soon anyway).
Are there still people left who don't believe this is real, and dangerous?
I'm going to continue hiding until it's my turn for the vaccine.
Edit:
Does anyone know where I can get a med-grade O2 tank filled?
I recently obtained a full EMT-type trauma kit with an oxygen tank with tubing, mask, and nasal cannula to upgrade from my jerry-rigged industrial welding tanks. I'd like to get the tank filled with med-grade gas instead of the industrial gas...something tells me that there is probably some difference. I think industrial gas may work in an emergency if you have nothing else, but I'd like to get the good stuff if I can.
Last edited by Zymer; 01-15-2021 at 04:26 PM ..
01-15-2021, 06:32 PM
Location: Maine
6,631 posts, read
13,549,405 times
Reputation: 7381
Quote:
Originally Posted by
Zymer
I'm going to continue hiding until it's my turn for the vaccine.
I'm glad you're alright. That's terrifying!
I met two women today who got their first doses on Monday. One has no side effects, the other a sore arm no worse than the influenza vaccine causes. I'll be in line for mine when my turn comes.
01-16-2021, 09:44 AM
1,539 posts, read
1,476,959 times
Reputation: 2288
Medical grade oxygen is certified and possibly/probably cleaner.... but will certainly work. Aviation oxygen is highly dehumidifed... so it won't freeze up the valves at high altitudes.
Glad you made it out of there, Zymer!
As far as COVID being dangerous... the outcome is a varied and very individual thing. Just my opinion from observations: We almost instinctively prefer to classify things as 'A' or 'B'.. our minds like binary situations but 3 or 4 possible states require us to sort and prioritize. But the COVID outcome is not A or B.... it's outcome is A or B or C or D and maybe even E.
If you are young, it is almost a given to not be fatal, so the varying attitudes are rational. When coupled with other factors like personal economic outcomes and varying degrees of personal bravado, even more variety of views is to be expected. Human nature rules as always.....
Please register to post and access all features of our very popular forum. It is free and quick. Over $68,000 in prizes has already been given out to active posters on our forum. Additional giveaways are planned.
Detailed information about all U.S. cities, counties, and zip codes on our site: City-data.com .
Data:
Median household income ($)
Median household income (% change since 2000)
Household income diversity
Ratio of average income to average house value (%)
Ratio of average income to average rent
Median household income ($) - White
Median household income ($) - Black or African American
Median household income ($) - Asian
Median household income ($) - Hispanic or Latino
Median household income ($) - American Indian and Alaska Native
Median household income ($) - Multirace
Median household income ($) - Other Race
Median household income for houses/condos with a mortgage ($)
Median household income for apartments without a mortgage ($)
Races - White alone (%)
Races - White alone (% change since 2000)
Races - Black alone (%)
Races - Black alone (% change since 2000)
Races - American Indian alone (%)
Races - American Indian alone (% change since 2000)
Races - Asian alone (%)
Races - Asian alone (% change since 2000)
Races - Hispanic (%)
Races - Hispanic (% change since 2000)
Races - Native Hawaiian and Other Pacific Islander alone (%)
Races - Native Hawaiian and Other Pacific Islander alone (% change since 2000)
Races - Two or more races (%)
Races - Two or more races (% change since 2000)
Races - Other race alone (%)
Races - Other race alone (% change since 2000)
Racial diversity
Unemployment (%)
Unemployment (% change since 2000)
Unemployment (%) - White
Unemployment (%) - Black or African American
Unemployment (%) - Asian
Unemployment (%) - Hispanic or Latino
Unemployment (%) - American Indian and Alaska Native
Unemployment (%) - Multirace
Unemployment (%) - Other Race
Population density (people per square mile)
Population - Males (%)
Population - Females (%)
Population - Males (%) - White
Population - Males (%) - Black or African American
Population - Males (%) - Asian
Population - Males (%) - Hispanic or Latino
Population - Males (%) - American Indian and Alaska Native
Population - Males (%) - Multirace
Population - Males (%) - Other Race
Population - Females (%) - White
Population - Females (%) - Black or African American
Population - Females (%) - Asian
Population - Females (%) - Hispanic or Latino
Population - Females (%) - American Indian and Alaska Native
Population - Females (%) - Multirace
Population - Females (%) - Other Race
Coronavirus confirmed cases (Apr 29, 2024)
Deaths caused by coronavirus (Apr 29, 2024)
Coronavirus confirmed cases (per 100k population) (Apr 29, 2024)
Deaths caused by coronavirus (per 100k population) (Apr 29, 2024)
Daily increase in number of cases (Apr 29, 2024)
Weekly increase in number of cases (Apr 29, 2024)
Cases doubled (in days) (Apr 29, 2024)
Hospitalized patients (Apr 18, 2022)
Negative test results (Apr 18, 2022)
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)
COVID Vaccine doses distributed (Sep 19, 2023)
COVID Vaccine doses administered (Sep 19, 2023)
Likely homosexual households (%)
Likely homosexual households (% change since 2000)
Likely homosexual households - Lesbian couples (%)
Likely homosexual households - Lesbian couples (% change since 2000)
Likely homosexual households - Gay men (%)
Likely homosexual households - Gay men (% change since 2000)
Cost of living index
Median gross rent ($)
Median contract rent ($)
Median monthly housing costs ($)
Median house or condo value ($)
Median house or condo value ($ change since 2000)
Mean house or condo value by units in structure - 1, detached ($)
Mean house or condo value by units in structure - 1, attached ($)
Mean house or condo value by units in structure - 2 ($)
Mean house or condo value by units in structure by units in structure - 3 or 4 ($)
Mean house or condo value by units in structure - 5 or more ($)
Mean house or condo value by units in structure - Boat, RV, van, etc. ($)
Mean house or condo value by units in structure - Mobile home ($)
Median house or condo value ($) - White
Median house or condo value ($) - Black or African American
Median house or condo value ($) - Asian
Median house or condo value ($) - Hispanic or Latino
Median house or condo value ($) - American Indian and Alaska Native
Median house or condo value ($) - Multirace
Median house or condo value ($) - Other Race
Median resident age
Resident age diversity
Median resident age - Males
Median resident age - Females
Median resident age - White
Median resident age - Black or African American
Median resident age - Asian
Median resident age - Hispanic or Latino
Median resident age - American Indian and Alaska Native
Median resident age - Multirace
Median resident age - Other Race
Median resident age - Males - White
Median resident age - Males - Black or African American
Median resident age - Males - Asian
Median resident age - Males - Hispanic or Latino
Median resident age - Males - American Indian and Alaska Native
Median resident age - Males - Multirace
Median resident age - Males - Other Race
Median resident age - Females - White
Median resident age - Females - Black or African American
Median resident age - Females - Asian
Median resident age - Females - Hispanic or Latino
Median resident age - Females - American Indian and Alaska Native
Median resident age - Females - Multirace
Median resident age - Females - Other Race
Commute - mean travel time to work (minutes)
Travel time to work - Less than 5 minutes (%)
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 (%)