05-17-2011, 09:27 AM
Location: The canyon (with my pistols and knife)
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Quote:
Originally Posted by
mike02
HowStuffWorks "Maps of United States Annual Sunshine"
Scroll down and click on U.S. Annual sunshine map and it will load. Notice the gray color band that includes all cities in the same range as Pgh. There's other maps you can search for different months and seasons. Just google it.
Funny. Wasn't somebody denying the effect of orographic lift earlier? It's interesting how the cloudiest area in the eastern United States runs right down the spine of the Appalachian Mountains. Even western Virginia, western North Carolina and eastern Tennessee are in the same zone as Pittsburgh. Hell, you can even see where the Ozark Mountains are in Arkansas; they're the two light gray blobs in the northern and western part of the state that are entirely surrounded by yellow.
Or were they doubting the effect of the Great Lakes? In that case, everything located southeast of every Great Lake (with the
partial exception of Lake Michigan) is located in the same zone as Pittsburgh. Hell, why do you think they call it
lake-effect snow? It's because the moisture coming off the lakes condenses into clouds and snow. There have even been lake-effect thunderstorms before.
Pittsburgh is negligibly cloudier than other nearby areas in the spring, summer and fall because of the combination of orographic lift and moisture in the air mass from either the Great Lakes or the Gulf of Mexico, depending on whether the prevailing winds are from the northwest or the southwest.
05-17-2011, 09:27 AM
Location: ɥbɹnqsʇʇıd
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Reputation: 3521
Quote:
Originally Posted by
Gnutella
Hey, I can play that game too! I've been to 34 different states in my lifetime, as well as international cities like Toronto, Montreal, Taipei, Hong Kong and Ho Chi Minh City! And you know what? I still don't see what the big ****in' deal is about the weather in Pittsburgh!
I honestly looked for a source online and can't find it, but I remember hearing on one of the cable news channels a few years ago that Pittsburgh had both the lowest rate of severe weather-related insurance claims and damages per capita of all United States metropolitan areas with 1,000,000+ population.
Cool story bro.
05-17-2011, 09:30 AM
Location: The canyon (with my pistols and knife)
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Reputation: 17328
Quote:
Originally Posted by
Aqua Teen Carl
Cool story bro.
I know. That's what I said when I found out that you've traveled different places too.
05-17-2011, 09:33 AM
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One thing I'm pretty sure ANYONE can agree with is that sunniness 45% of the time is actually sounding pretty good about right now.
05-17-2011, 09:34 AM
Location: ɥbɹnqsʇʇıd
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Reputation: 3521
Quote:
Originally Posted by
Gnutella
I know. That's what I said when I found out that you've traveled different places too.
Yeah, I was responding to a different poster. Nice try though brah.
05-17-2011, 09:37 AM
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Quote:
Originally Posted by
Aqua Teen Carl
Yeah, I was responding to a different poster. Nice try though brah.
Um, you quoted Gnutella. You were responding to him/her.
05-17-2011, 09:39 AM
Location: ɥbɹnqsʇʇıd
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Quote:
Originally Posted by
SammyKhalifa
Um, you quoted Gnutella. You were responding to him/her.
I was referring to the point about traveling which was in response to mike02. THIS IS ALL SO CONFUSING
05-17-2011, 10:55 AM
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Not to add more confusion, but I believe it was Fiddlehead who once posted some North American maps of solar radiation received at different parts of the year, and they were a little bit different still. Some possible reasons for the variation include different time periods and different things being measured (e.g., different thicknesses of cloud will let in different amounts of solar radiation, and I suspect latitude might make a noticeable difference as well).
I think the general lesson from all this is that we should be careful about overreading the significance of small differences in these statistics.
05-17-2011, 11:03 AM
Location: Pittsburgh
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I wish I knew more about edible mushrooms. Seems mushrooms love this wet weather. I have them growing in my East garden under some Rhododendrons. They look good, but I don't have a clue if they are edible. Don't think I will give it a go.
05-17-2011, 11:06 AM
268 posts, read
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Reputation: 107
Quote:
Originally Posted by
Gnutella
Funny. Wasn't somebody denying the effect of orographic lift earlier? It's interesting how the cloudiest area in the eastern United States runs right down the spine of the Appalachian Mountains. Even western Virginia, western North Carolina and eastern Tennessee are in the same zone as Pittsburgh. Hell, you can even see where the Ozark Mountains are in Arkansas; they're the two light gray blobs in the northern and western part of the state that are entirely surrounded by yellow.
Or were they doubting the effect of the Great Lakes? In that case, everything located southeast of every Great Lake (with the partial exception of Lake Michigan) is located in the same zone as Pittsburgh. Hell, why do you think they call it lake-effect snow? It's because the moisture coming off the lakes condenses into clouds and snow. There have even been lake-effect thunderstorms before.
Pittsburgh is negligibly cloudier than other nearby areas in the spring, summer and fall because of the combination of orographic lift and moisture in the air mass from either the Great Lakes or the Gulf of Mexico, depending on whether the prevailing winds are from the northwest or the southwest.
Cleveland is located within the gray bland, yet supposedly receives more sunshine during the summer. So does Buffalo, Syracuse, Rochester, Scranton, and maybe Columbus, OH. They all receive more sunshine than Pittsburgh during the spring, summer, and fall. And, Columbus receives less sunshine than Cleveland during the summer but more sunshine during the winter. Here's a comparison between Allentown, Scranton, and Pittsburgh, all within the Appalachians. The Appalachians run through upstate NY as well, so why more summertime sunshine there? There's odd-ball differences and similarities that is difficult to explain solely on the Appalachians.
CITY YEARS J F M A M J J A S O N D ANNUAL
ALLENTOWN, PA 12 43 48 53 46 53 62 57 61 58 57 49 45 53
AVOCA, PA 41 41 47 50 53 57 61 62 61 55 52 36 34 51
PITTSBURGH, PA 49 32 36 43 46 50 55 57 56 55 51 36 28 45
*Allentown's sunshine goes up in down during the spring and summer. That's
weird. Why is that? It matches Pittsburgh's in April and July. Scranton and
Pittsburgh receive the same in September and November, and close in October.
As you can see, there appears to be some difference in the wintertime, which
makes sense because of the Great Lakes. A better comparison with more accuracy
would be data collected from the same length of time. You have 12 years for
Allentown, 41 for Scranton, and 49 for Pittsburgh. Oh wait, that brings me to
my next point: Allentown and Scranton have small airports compared to Pittsburgh.
Why do I say that? A study was done claiming smaller airports are more
liberal on reporting cloud conditions, while larger ones are more
conservative. The report is called: cloud-cover reporting bias
http://www.asrc.cestm.albany.edu/per...%20bias-00.pdf
Now explain your theory for that. All of those cities, except for Cleveland and Columbus, are within the Appalachian Mtn. range and receive more sunshine than Pittsburgh during the warmer months. It can't just be the effect of the Appalachians. I won't deny it has some effect but I doubt it makes Pittsburgh somehow cloudier than other cities within that same range. I was always interested in how the days of the steel mills and black smoke that covered Pgh's skies affected visibility and sunshine levels. On a subjective note, I lived in northeastern PA and southeastern PA and notice absolutely no difference in sunshine between there and southwestern PA. Only between southeastern and southwestern PA in the winter.
CONCLUSION: It really is nit-picking when you use the data solely to prove these places are all sunnier. Depends. So many variables, etc. There's truth in the data, but not necessarily concrete. It gives somewhat of a very broad, general picture. Not really precise. Winters are pretty obvious compared to Philly. But summer isn't. Even if I'm completely wrong, would anyone even notice the difference? All I'm looking for is a fair, equal comparison. Essentially, it's nit-picking which is exactly what some posters do on here constantly. I see no proof of the Appalachians affecting Pgh more so than other cities. If you have source, NOT WIKIPEDIA, that can back that claim up, then post it. If you can't, so you can only say "maybe" not definitely. Just like I said about the steel mills. "Maybe" it had an effect, but it's not definite unless I found a reliable source to back it up.
Last edited by mike02; 05-17-2011 at 11:12 AM ..
Reason: clarification
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Educational Attainment - No schooling completed (%)
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Educational Attainment - 1 or more years of college (%)
Educational Attainment - Associate degree (%)
Educational Attainment - Bachelor's degree (%)
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School Enrollment - Nursery, preschool (%)
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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
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Housing units lacking complete plumbing facilities (%)
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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 (%)
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Median number of bedrooms in renter occupied houses
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Mean number of vehichles in owner occupied houses
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Mean number of vehichles in renter occupied houses
Mortgage status - with mortgage (%)
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Mortgage status - without a mortgage (%)
Average family size
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Average family size - Black or African American
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Average family size - Hispanic or Latino
Average family size - American Indian and Alaska Native
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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 (%)
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Most Common Industries - Retail trade (%)
Most Common Industries - Transportation and warehousing, and utilities (%)
Most Common Industries - Transportation and warehousing (%)
Most Common Industries - Utilities (%)
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Most Common Industries - Finance and insurance (%)
Most Common Industries - Real estate and rental and leasing (%)
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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 (%)
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Most Common Industries - Educational 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
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Most Common Occupations - Management, business, and financial occupations (%)
Most Common Occupations - Management occupations (%)
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Most Common Occupations - Health diagnosing and treating practitioners and other technical occupations (%)
Most Common Occupations - Health technologists and technicians (%)
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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 (%)