10-06-2013, 09:47 PM
Location: Western Massachusetts
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Quote:
Originally Posted by
jimmyev
Pittsburgh's greatest growth came in the first half of the 20th century. It's 'diversity' reflects the ethnic groups that immigrated to the US (or moved north) during that time period - African-Americans, Italians, Eastern Europeans, and Byzantine Catholics from the remnants of the Ottoman Empire. Other cities' growth came in the second half of the 20th century (Phoenix, Las Vegas, Houston, Dallas, Miami) and their 'diversity' reflects the ethnic groups that immigrated to the US during that time period - Cubans, Vietnamese, Mexicans, Salvadorians, Guatemalans, Hondurans, and Haitians.
Currently, for whatever reason, Hispanics and/or Latinos (unless they happen to be of Peruvian descent and shoot a teenager in Florida) are separated out from other Caucasians. This makes cities with recent immigration artificially look more diverse than cities with older immigrant populations. But it's still just as hard to find a pierogie in Houston as it is to find decent pho in Pittsburgh.
Eh. Many old cities continued to get some immigration, the coastal northeast cities all get some. And New York City's diversity reflects recent immigration as much as older immigration [including white immigration — there's been eastern european immigration in the last few decades].
10-06-2013, 10:54 PM
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Quote:
Originally Posted by
nei
Eh. Many old cities continued to get some immigration, the coastal northeast cities all get some. And New York City's diversity reflects recent immigration as much as older immigration [including white immigration — there's been eastern european immigration in the last few decades].
East Coast metro areas continued to grow throughout the second half of the 20th century, albeit slowly. Pittsburgh, Cleveland and Buffalo actually shrank, especially between 1970 and 1990. Buffalo is kind of interesting because it sounds to be more diverse than Cleveland or Pittsburgh yet suffered the same population loss. Maybe that's just the effect of being in the same state as New York City?
10-06-2013, 11:08 PM
Location: Western Massachusetts
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Quote:
Originally Posted by
jimmyev
East Coast metro areas continued to grow throughout the second half of the 20th century, albeit slowly. Pittsburgh, Cleveland and Buffalo actually shrank, especially between 1970 and 1990. Buffalo is kind of interesting because it sounds to be more diverse than Cleveland or Pittsburgh yet suffered the same population loss. Maybe that's just the effect of being in the same state as New York City?
The NYC metro's recent immigration rate is higher than almost all others except Miami, Los Angeles, and the Bay Area even with slow growth. But its domestic out-migration rate is recent decades is similar to Pittsburgh.
I doubt being in the same state would make much difference. But Buffalo's foreign-born % is double Pittsburgh (6.0 vs 3.1). Every upstate NY metro is nearly double that of Pittsburgh. Ditto with smaller New England ones, which are a bit higher.
http://www.brookings.edu/~/media/res...son_singer.pdf
10-07-2013, 05:33 AM
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Quote:
Originally Posted by
zman63
Thx - I've never been to Greenville, SC or Louisville, KY, but it does make me wonder how they have more stress than say, Manhattan SF or Seattle or Chicago. I'd personally give this survey about as much credence as most we see - examples like:
2 surveys with 1 result: Pittsburgh's smart | GoErie.com/Erie Times-News
But hey, it's a data point that backs up your claim. I respect that.
10-07-2013, 06:10 AM
Location: Mid-Atlantic
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Quote:
Originally Posted by
eschaton
In contrast, I think every single person I know who is a Pittsburgh booster is a transplant.
.
Guess you haven't met me and my over 300 friends in the area.
10-07-2013, 08:27 AM
Location: Western Massachusetts
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Pittsburgh actually ranks the highest in % of people that report Italian as their first ancestry.
https://www.city-data.com/forum/city-...active-10.html
More so than more stereotypical Italian metros like Philly or NYC. If you take Italian as a % of the white non-hispanic population, Pittsburgh would go down in ranking a bit, though still one of the highest in the country.
10-07-2013, 08:52 AM
Location: Pittsburgh, PA (Morningside)
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Quote:
Originally Posted by
nei
Even if Lincoln hadn't annexed almost its entire metro, it would still be relatively white. Take a look at its core on this map:
Mapping the 2010 U.S. Census - NYTimes.com
[choose racial/ethnic distribution on the arrow to the right of choose more maps]
I see what you mean. But as the whitest city in the country, the core was still bound to be pretty damn white.
Quote:
Originally Posted by
nei
Btw, Kansas City appears to have less of a old core = minority, newer annexed neighborhoods = white but instead west half = white, east half = black both center and outlying.
Apparently the root was Jim Crow laws.
Quote:
Originally Posted by
nei
Seattle and Portland aren't quite as white as their numbers suggest, because there's very little (more so Seattle) white % change in city vs suburb. Much less segregated than the north. Seattle's metro is actually quite a bit more diverse than Boston, the geographic distribution is just different.
By American standards, Seattle is highly weird, because most of the whitest areas in the metro are found not in the suburbs, but the northern half of the city itself (where most neighborhoods are 75%+ white. Southern Seattle is mostly Asian plurality these days, but has a good mixture of everyone.
Portland is so white it's hard to come up with any patterns. The black population center (around King) is collapsing. The Latino and Asian populations are rising, but mostly in the fringes of the city and the suburbs.
Quote:
Originally Posted by
nei
I doubt being in the same state would make much difference. But Buffalo's foreign-born % is double Pittsburgh (6.0 vs 3.1). Every upstate NY metro is nearly double that of Pittsburgh. Ditto with smaller New England ones, which are a bit higher.
http://www.brookings.edu/~/media/res...son_singer.pdf
Most of the smaller cities in Eastern PA (Allentown, Bethlehem, Reading, Lebanon, York, etc) have seen significant Latino immigration in recent decades, mostly from people moving out of New York. This migration has yet to "cross the mountain" so to speak in the state.
What is funny is on the other side, Cleveland has a significant number of Latinos as well (a historic Puerto Rican community exists in the West Side). So Pittsburgh is basically feeling a "Latino squeeze" from both directions.
10-07-2013, 10:11 AM
Location: The canyon (with my pistols and knife)
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Pittsburgh is far enough into the mountains that getting there from any direction is considered a hassle. Immigrants on the East Coast don't cross Blue Mountain. Immigrants in Chicago and Detroit stay near the Great Lakes. The mountains are not only physical barriers that make highway and railroad construction more difficult, but they're psychological barriers as well. Once the terrain starts to get more difficult, the "flatlanders" start flipping out. And the world becomes larger for those who live within the mountains because simply getting around is more difficult in a mountainous area than it is in a flat area, and getting out of the mountains is considered just as big of a hassle for the people who live there as entering the mountains is for the flatlanders.
No,
this isn't an excuse either. Even eHow.com says, "Mountain ranges, due to their sheer size, are an impediment to navigation and migration. They also obstruct the flow of the earth's air mass, affecting weather and climate on both sides of the mountain range." If mountains are enough of a barrier to affect the movement of air, they're enough of a barrier to affect the movement of people too. Virginia, North Carolina and Tennessee are states with disproportionately large black populations, but Roanoke, Asheville, Knoxville and the "Tri-Cities" region are disproportionately white for those states. And none of them have ever endured the degree of economic misfortune that Pittsburgh did during the last three decades of the 20th Century, so there has to be another reason why they're so white compared to the rest of their states at large. Face it; the mountains are what have have kept Pittsburgh whiter than its peers.
10-07-2013, 10:33 AM
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Quote:
Originally Posted by
Gnutella
Pittsburgh is far enough into the mountains that getting there from any direction is considered a hassle. Immigrants on the East Coast don't cross Blue Mountain. Immigrants in Chicago and Detroit stay near the Great Lakes. The mountains are not only physical barriers that make highway and railroad construction more difficult, but they're psychological barriers as well. Once the terrain starts to get more difficult, the "flatlanders" start flipping out. And the world becomes larger for those who live within the mountains because simply getting around is more difficult in a mountainous area than it is in a flat area, and getting out of the mountains is considered just as big of a hassle for the people who live there as entering the mountains is for the flatlanders.
No,
this isn't an excuse either. Even eHow.com says, "Mountain ranges, due to their sheer size, are an impediment to navigation and migration. They also obstruct the flow of the earth's air mass, affecting weather and climate on both sides of the mountain range." If mountains are enough of a barrier to affect the movement of air, they're enough of a barrier to affect the movement of people too. Virginia, North Carolina and Tennessee are states with disproportionately large black populations, but Roanoke, Asheville, Knoxville and the "Tri-Cities" region are disproportionately white for those states. And none of them have ever endured the degree of economic misfortune that Pittsburgh did during the last three decades of the 20th Century, so there has to be another reason why they're so white compared to the rest of their states at large. Face it; the mountains are what have have kept Pittsburgh whiter than its peers.
White people liked crossing mountains to get to Pittsburgh, but other races didn't?
10-07-2013, 10:55 AM
Location: Philly
10,227 posts, read
16,819,013 times
Reputation: 2973
Quote:
Originally Posted by
Gnutella
Pittsburgh is far enough into the mountains that getting there from any direction is considered a hassle. Immigrants on the East Coast don't cross Blue Mountain. Immigrants in Chicago and Detroit stay near the Great Lakes. The mountains are not only physical barriers that make highway and railroad construction more difficult, but they're psychological barriers as well. Once the terrain starts to get more difficult, the "flatlanders" start flipping out. And the world becomes larger for those who live within the mountains because simply getting around is more difficult in a mountainous area than it is in a flat area, and getting out of the mountains is considered just as big of a hassle for the people who live there as entering the mountains is for the flatlanders.
No,
this isn't an excuse either. Even eHow.com says, "Mountain ranges, due to their sheer size, are an impediment to navigation and migration. They also obstruct the flow of the earth's air mass, affecting weather and climate on both sides of the mountain range." If mountains are enough of a barrier to affect the movement of air, they're enough of a barrier to affect the movement of people too. Virginia, North Carolina and Tennessee are states with disproportionately large black populations, but Roanoke, Asheville, Knoxville and the "Tri-Cities" region are disproportionately white for those states. And none of them have ever endured the degree of economic misfortune that Pittsburgh did during the last three decades of the 20th Century, so there has to be another reason why they're so white compared to the rest of their states at large. Face it; the mountains are what have have kept Pittsburgh whiter than its peers.
except that pittsburgh, as a steel center, was so profitable railroads were willing to scale mountains to get there. service was provided by the B&O from washington and baltimore, NY, Chicago, and Philadelphia by the PRR. the mountains hadn't stopped immigrants from reach pittsburgh BEFORE or AFTER railroads. carnegie and family endured a cheap, slow trip via canal. you certainly could get to pittsburgh if there was a reason to do so.
to the point about italian immigration, its peak was the early 20th century prior to the great migration which would indicate that something else happened between pre WWI and post WWI. It's the economy stupid. pollution was also at its worst from the 20's through the 60's. Roanoke and Asheville aren't major economic centers and provided little work.
Last edited by pman; 10-07-2013 at 11:22 AM ..
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Educational Attainment - No schooling completed (%)
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School Enrollment - Nursery, preschool (%)
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School Enrollment - Graduate or professional (%)
School Enrollment - Not enrolled in school (%)
School enrollment - Public schools (%)
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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 (%)
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Population in households (%)
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Nonfamily households (%)
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Mortgage status - with mortgage (%)
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Mortgage status - with both second mortgage and home equity loan (%)
Mortgage status - without a mortgage (%)
Average family size
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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 (%)
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Geographical mobility - Moved from different state (%)
Geographical mobility - Moved from abroad (%)
Place of birth - Born in state of residence (%)
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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 (%)
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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 (%)
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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 (%)
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Most Common Industries - Public administration (%)
Occupation diversity
Most Common Occupations - Management, business, science, and arts occupations (%)
Most Common Occupations - Management, business, and financial occupations (%)
Most Common Occupations - Management occupations (%)
Most Common Occupations - Business and financial operations occupations (%)
Most Common Occupations - Computer, engineering, and science occupations (%)
Most Common Occupations - Computer and mathematical occupations (%)
Most Common Occupations - Architecture and engineering occupations (%)
Most Common Occupations - Life, physical, and social science occupations (%)
Most Common Occupations - Education, legal, community service, arts, and media occupations (%)
Most Common Occupations - Community and social service occupations (%)
Most Common Occupations - Legal occupations (%)
Most Common Occupations - Education, training, and library occupations (%)
Most Common Occupations - Arts, design, entertainment, sports, and media occupations (%)
Most Common Occupations - Healthcare practitioners and technical occupations (%)
Most Common Occupations - Health diagnosing and treating practitioners and other technical occupations (%)
Most Common Occupations - Health technologists and technicians (%)
Most Common Occupations - Service occupations (%)
Most Common Occupations - Healthcare support occupations (%)
Most Common Occupations - Protective service occupations (%)
Most Common Occupations - Fire fighting and prevention, and other protective service workers including supervisors (%)
Most Common Occupations - Law enforcement workers including supervisors (%)
Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
Most Common Occupations - Personal care and service occupations (%)
Most Common Occupations - Sales and office occupations (%)
Most Common Occupations - Sales and related occupations (%)
Most Common Occupations - Office and administrative support occupations (%)
Most Common Occupations - Natural resources, construction, and maintenance occupations (%)
Most Common Occupations - Farming, fishing, and forestry occupations (%)
Most Common Occupations - Construction and extraction occupations (%)
Most Common Occupations - Installation, maintenance, and repair occupations (%)
Most Common Occupations - Production, transportation, and material moving occupations (%)
Most Common Occupations - Production occupations (%)
Most Common Occupations - Transportation occupations (%)
Most Common Occupations - Material moving occupations (%)
People in Group quarters - Institutionalized population (%)
People in Group quarters - Correctional institutions (%)
People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
People in Group quarters - Other hospitals or wards for chronically ill (%)
People in Group quarters - Hospitals or wards for drug/alcohol abuse (%)
People in Group quarters - Mental (Psychiatric) hospitals or wards (%)
People in Group quarters - Schools, hospitals, or wards for the mentally retarded (%)
People in Group quarters - Schools, hospitals, or wards for the physically handicapped (%)
People in Group quarters - Institutions for the deaf (%)
People in Group quarters - Institutions for the blind (%)
People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)