03-06-2021, 02:51 PM
26,270 posts, read
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Reputation: 31868
Regarding arguments about population density . . .
Japan has a test positivity rate of 2.14%, South Korea is at 1.34% , Arizona is about 7%, down from 18% a few weeks ago.
Japan and South Korea have some incredibly dense areas, especially Japan.
The difference is the people in Japan and South Korea masked-up early and near universally.
Japan has a population density of 334 people per sq km, versus the USA density of 33 people per sq km and Arizona density of 22 people per sq km. Japan has TEN TIMES the density of the USA and 15 times the density of AZ.
Hong Kong has over 8000 people per sq km but only a fraction of the cases and deaths of AZ. Phoenix has 1253 people per sq km or about 1/7 the density of Hong Kong but infections and deaths in Phoenix are far higher than Hong Kong.
It's the masks.
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03-06-2021, 03:05 PM
9,825 posts, read
11,237,795 times
Reputation: 8513
Quote:
Originally Posted by
Mike from back east
Regarding arguments about population density . . .
Japan has a test positivity rate of 2.14%, South Korea is at 1.34% , Arizona is about 7%, down from 18% a few weeks ago.
Japan and South Korea have some incredibly dense areas, especially Japan.
The difference is the people in Japan and South Korea masked-up early and near universally.
Japan has a population density of 334 people per sq km, versus the USA density of 33 people per sq km and Arizona density of 22 people per sq km. Japan has TEN TIMES the density of the USA and 15 times the density of AZ.
Hong Kong has over 8000 people per sq km but only a fraction of the cases and deaths of AZ. Phoenix has 1253 people per sq km or about 1/7 the density of Hong Kong but infections and deaths in Phoenix are far higher than Hong Kong.
It's the masks.
The exclusive talk about population density (at the time) was what I posted. When ALL THINGS ARE EQUAL, then more dense areas have a higher amount of transmission. For most people, they understand that (especially quality masks have (100x??) more impact that population density. No one every said you automatically get less COVID in urban areas. Nor did they ever say Phoenix won’t battle COVID. That was the reason for my post. To correct VN’s statement. I was harping that you cannot make a comparison and pointing at a single variable as your proof.
.
03-06-2021, 03:22 PM
Location: East Central Phoenix
8,048 posts, read
12,311,825 times
Reputation: 9844
Quote:
Originally Posted by
Ponderosa
The entire middle east with a dry climate had/has only a fraction of the rate of covid we had in Arizona. We are just about the worst state in the country. Nevada, drier than here is not nearly as bad. New Mexico too. I'm not buying the dryness angle. The simple reason Arizona got hit so hard is because we largely ignored social distancing and masking and opened up last year on the rising part of the curve when the heat sent everyone indoors. Then our winter tourist season brought round two.
There are many factors to consider, and I'm not doubting that ignoring social distancing & being maskless contributed to the spikes. My point is that the climatic conditions are certainly playing a part. If you look at the CDC map, the darkest shaded areas are mainly in Arizona and southern California. We can't say California was lax because they had some of the strictest lockdowns in the nation. You can find different sources on the studies of low humidity and the effects on the virus, including the one below. Denying this fact is simply denying science.
https://www.news-medical.net/news/20...-humidity.aspx
03-25-2021, 02:00 PM
525 posts, read
542,014 times
Reputation: 736
Well Michigan has some of the strictest Covid restrictions and they are currently the 2nd worst in the US:
https://www.freep.com/story/news/hea...on/6986599002/
When you enforce restrictions that lack common sense or go overboard, the outcome tends to be worse because people will revolt. It's human nature. This is pretty evident in California, where Newsom was just being ridiculous (you need to wear a mask outside when you are jogging by yourself) and people did just the opposite of what he wanted....
03-25-2021, 02:36 PM
9,197 posts, read
16,691,607 times
Reputation: 11338
Quote:
Originally Posted by
belgirl
Well Michigan has some of the strictest Covid restrictions and they are currently the 2nd worst in the US:
https://www.freep.com/story/news/hea...on/6986599002/
When you enforce restrictions that lack common sense or go overboard, the outcome tends to be worse because people will revolt. It's human nature. This is pretty evident in California, where Newsom was just being ridiculous (you need to wear a mask outside when you are jogging by yourself) and people did just the opposite of what he wanted....
Can you prove your rebellion theory with anything beyond silly anecdotes? The fact is, that has nothing to do with it. MI has loosened restrictions and is seeing an influx of the more contagious UK strain; representing more than half of the new cases there. Also, the largest number of outbreaks there are in K-12 schools. Nice try. Let's drop the correlation equals causation thing. It's not particularly impressive.
03-26-2021, 12:43 AM
Location: East Central Phoenix
8,048 posts, read
12,311,825 times
Reputation: 9844
Quote:
Originally Posted by
belgirl
When you enforce restrictions that lack common sense or go overboard, the outcome tends to be worse because people will revolt. It's human nature. This is pretty evident in California, where Newsom was just being ridiculous (you need to wear a mask outside when you are jogging by yourself) and people did just the opposite of what he wanted....
Yes, and California's strict mandates certainly didn't cause their numbers to drop. I said early on that most people are not going to stand for those kinds of draconian measures which restrict freedoms & cause more economic hardship than they help curb the spread of a virus. Looking back over the last year, the COVID virus needed to be taken seriously, but not to the point of panic and being afraid of life. The majority of us (myself included) never caught a trace of the virus.
03-26-2021, 06:56 AM
9,825 posts, read
11,237,795 times
Reputation: 8513
Quote:
Originally Posted by
Valley Native
Yes, and California's strict mandates certainly didn't cause their numbers to drop. I said early on that most people are not going to stand for those kinds of draconian measures which restrict freedoms & cause more economic hardship than they help curb the spread of a virus. Looking back over the last year, the COVID virus needed to be taken seriously, but not to the point of panic and being afraid of life. The majority of us (myself included) never caught a trace of the virus.
I too would say that I dodged the virus. But unless you or I had antibody tests along the way, we cannot officially say that we dodged the virus. Though we were probably right, 30% of the people who got COVID were asymptomatic (see
https://hartfordhealthcare.org/about...6&publicId=395 ).
My educated guess is the transmission happens
much more readily when people let their guard down in the privacy of their own home with much longer interactions. If people see the infections substantially on the rise and they
actually know someone who has it, then many apply more personal measures to protect themselves including at home. So if my hypothesis is correct,
exterior tougher policy measures like shutting things down don't impact the numbers as much as initially assumed.
Allow me to explain my POV. Take a look at the roller coaster infection rates along the way. Why did all of the states (at different times) have a dramatic rise
and drop? I propose is it because many (and certainly not all) people let their guard down at home and later tightened up their personal policy. All along, people are wearing masks. But how diligent are they when they go to a family or friends celebration for many hours? Thanksgiving and Christmas infection rates skyrocketed. During the holidays, people weren't eating at restaurant, bowling, doing to nightclubs etc. They masked up to travel in one of the lowest infection rate vessels (a plane).
Speaking for myself, when the infection rate was
up , I would get more religious and not let workers in our home, I would only wear masks even when we were with close friends, etc. Ask any local AZ sit-down restaurant how busy they were inside when the infection rate was down or up. I have asked and their business seems to track people's motivation to hunker down or let loose. It also tracks that takeout and fast food jumps when the infections are up. So people are self-regulating without the government's help.
If you are following, super strict CA measures would work amazingly well if they had monitors
inside people's homes . CA probably thought of it. lol
Or by putting it another way, protecting yourself in public helps. But if you let your guard down at home or an event for several hours mask-free, I propose that is when the bulk of the transmission happens. Therefore the roller-coaster rise and fall of infections has a lot to do with how much people actually
fear (motivated by the numbers and
knowing someone). And then they react at home. So telling someone what to didn't work at home.
Anecdotally speaking, our dentist daughter who is staring inside 20 mouths a day knows dozens of dentists who like us, assume they dodged COVID. Most of her friends are all young and nearly all buried in debt. Their 1st motivation to be careful is their wages as they exclusively get about 25% of their daily production. No dentists are using N95's, they use surgical masks. Anyways, a fraction of her friends got it. And for the people that do, our daughter was not surprised because they were not careful outside of work. To me at least, that suggests COVID isn't nearly as easy to transmit as we were initially told. I mean, if you are staring in people's mouths and you dodge it with a surgical mask, that says a lot about how it is transmitted.
A lot of words to say the tight PUBLIC shutdown methods didn't work as well as people assumed. Looking at it the other direction, friends in FL (no mask mandate) tell me a heck of a lot of people in FL wear masks. Smart people self-regulate their risk. With this virus, shutting down too many businesses didn't attach the real area of transmissions. If I was at the helm and in hindsight, I would have a mask mandate and open up more businesses. I think that would strike a nice balance.
Sorry for babbling. I enjoy trying to figure out what the heck is going on. Because this
is going to happen again. After all, China reopened its wet markets again.
03-26-2021, 10:59 AM
26,270 posts, read
49,193,517 times
Reputation: 31868
Babble on, it's very good stuff that you post....
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03-26-2021, 11:13 AM
1,567 posts, read
1,965,060 times
Reputation: 2374
Quote:
Originally Posted by
Mike from back east
Regarding arguments about population density . . .
Japan has a test positivity rate of 2.14%, South Korea is at 1.34% , Arizona is about 7%, down from 18% a few weeks ago.
Japan and South Korea have some incredibly dense areas, especially Japan.
The difference is the people in Japan and South Korea masked-up early and near universally.
Japan has a population density of 334 people per sq km, versus the USA density of 33 people per sq km and Arizona density of 22 people per sq km. Japan has TEN TIMES the density of the USA and 15 times the density of AZ.
Hong Kong has over 8000 people per sq km but only a fraction of the cases and deaths of AZ. Phoenix has 1253 people per sq km or about 1/7 the density of Hong Kong but infections and deaths in Phoenix are far higher than Hong Kong.
It's the masks.
Two points to add:
Asian cultures were masking up before masks were cool. It wasn't a new thing for them.
Those populations are also much more healthy, I can imagine there were probably more cases, they were just asymptomatic. They didn't have large government testing centers, they got tested at the doctor if they were sick.
Japan is by far the cleanest country in the world.
03-26-2021, 11:18 AM
1,567 posts, read
1,965,060 times
Reputation: 2374
Quote:
Originally Posted by
MN-Born-n-Raised
I too would say that I dodged the virus. But unless you or I had antibody tests along the way, we cannot officially say that we dodged the virus. Though we were probably right, 30% of the people who got COVID were asymptomatic (see
https://hartfordhealthcare.org/about...6&publicId=395 ).
I would have never got tested for it if people at my office did not test positive. I felt off, but didn't think it would have been COVID.
I thought I spared my wife and 2 young children, but an antibody test shows I did not.
Fry's does the antibody test for $25 at the Pharmacy, it only takes a few minutes. At only $25 it's worth checking.
Arizona's cases are probably much higher than reported, they don't know about the other 3 people in my household who had it.
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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 (%)