09-10-2017, 08:18 AM
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Also, why are people arguing about this? It's an interesting debate, but none of the 3-Cs stand any chance, so no reason to get all worked up either way. It'll likely go to a much larger city than any of them.
09-10-2017, 09:08 AM
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Quote:
Originally Posted by
jbcmh81
Kansas City, St. Louis, Chicago, Washington and New York just to name a few.
As far as retail goes, Amazon could move literally anywhere and get plenty of people in the grocery retail side to come work for them. They don't have to be in the same city as a strong grocery competitor.
If Chicago went multi-state it would place the HQ in the southside straddling East Chicago. I don't think they'd want to be there if they went Chicago.
St. Louis - same issue as Chicago. It'd cost a ton just to secure the buildings in East St. Louis, and on top of that IL doesn't appear to be able to offer a good tax incentive package for it.
Washington DC... it also could, but you'd have trouble finding enough vacant land on both sides of the Potomac to create a cohesive campus in the type of area Amazon is looking for.
New York.. ditto DC.
Kansas City... possibly. I'm not too familiar with it. From a quick skyview it looks like it might be possible to have a cohesive multi-state campus and be close to both downtowns IF they put it in the West Bottoms neighborhood.
Cincinnati has the clear advantage here because The Banks + the IRS site + Ovations in Newport could come together to make one cohesive multi-state HQ in a central downtown location that can hold 8 million square feet. Nowhere else can match it, at least from the standpoint of easily and cost effectively building out 8 million square feet in a central business district.
09-10-2017, 09:17 AM
Location: Kennedy Heights, Ohio. USA
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Quote:
Originally Posted by
SWOH
If Chicago went multi-state it would place the HQ in the southside straddling East Chicago. I don't think they'd want to be there if they went Chicago.
St. Louis - same issue as Chicago. It'd cost a ton just to secure the buildings in East St. Louis, and on top of that IL doesn't appear to be able to offer a good tax incentive package for it.
Washington DC... it also could, but you'd have trouble finding enough vacant land on both sides of the Potomac to create a cohesive campus in the type of area Amazon is looking for.
New York.. ditto DC.
Kansas City... possibly. I'm not too familiar with it. From a quick skyview it looks like it might be possible to have a cohesive multi-state campus and be close to both downtowns IF they put it in the West Bottoms neighborhood.
Cincinnati has the clear advantage here because The Banks + the IRS site + Ovations in Newport could come together to make one cohesive multi-state HQ in a central downtown location that can hold 8 million square feet. Nowhere else can match it, at least from the standpoint of easily and cost effectively building out 8 million square feet in a central business district.
I was also thinking of the Ovation site in Newport. Very efficient location well served by mass transit in the heart of Cincinnati's urban core . Jeff Bezos already has 2 or 3 cities already in mind for where he will locate his 2nd HQ. Only thing he is doing now is making it seem like all these other cities has a chance as to ring cost concessions from the 2 or 3 cities he is really targeting. If it happens kudos but if it doesn't happen there was never really a serious chance that it was going to happen anyway. That is why it is a waste of energy to get hyped up about this. It is almost like Powerball mania when the lottery jackpot reaches $400 million motivating people to form long lines at convenient stores hoping to buy the winning ticket.The good thing about this is it will serve as a wake up call to metropolitan areas on what it needs to do in terms of infrastructure upgrades just to be seriously considered as a candidate for rare opportunities like these.
Last edited by Coseau; 09-10-2017 at 09:56 AM ..
09-10-2017, 10:05 AM
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Quote:
Originally Posted by
Coseau
I was also thinking of the Ovation site in Newport. Very efficient location well served by mass transit in the heart of Cincinnati's urban core . Jeff Bezos already has 2 or 3 cities already in mind for where he will locate his 2nd HQ. Only thing he is doing now is making it seem like all these other cities has a chance as to ring cost concessions from the 2 or 3 cities he is really targeting. If it happens kudos but if it doesn't happen there was never really a serious chance that it was going to happen anyway. That is why it is a waste of energy to get hyped up about this. It is almost like Powerball mania when the lottery jackpot reaches $400 million motivating people to form long lines at convenient stores hoping to buy the winning ticket.The good thing about this is it will serve as a wake up call to metropolitan areas on what it needs to do in terms of infrastructure upgrades just to be seriously considered as a candidate for rare opportunities like these.
If the state's development agencies already don't have pitches prepared, it's a good exercise to do so.
It may provide excellent experience, and identify areas for improvement, when making future pitches.
Hopefully the state's "business" Governor Kasich and Republicans will take notice of Amazon's interest in robust mass transit. It's doubtful IMO, as the primary goal of the Republicans is delivering tax cuts and grants to their supporters, while raising taxes on most Ohioans, often directly through local tax increases, while gutting the state's infrastructure and human capital investments.
09-10-2017, 10:42 AM
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Quote:
Originally Posted by
jbcmh81
Cincinnati does have a CSA.
I actually think CSA is the least useful population designation, especially when doing any kind of comparison for cities. It's good for media market size, but not much else.
How large is the CIN designated CSA?
Answer: the same at its MSA.
Cleveland's current CSA is its old MSA. Counties directly adjacent to Cuyahoga County are no longer counted in CLE MSA with new census rules so it's like over a million+ people sitting there. Imagine 1 million people or sitting adjacent to Hamilton and Franklin Counties not being counted in CIN and COL MSAs.
The CLE MSA is now 5 counties....CIN is about 10.
Over 1 million+ people did not leave CLE MSA in 10 years. Sorry I know that's what other cities in OH want to believe. So, in CLE if someone moves from Brecksville (Cuyahoga Co) and moves to Hudson (into adjacent Summit Co.) then CLE MSA loses 1 person.
The CLE area is sprawling.
CSAs are much more accurate and are not limited to the media market. Nice try though.
Last edited by Kamms; 09-10-2017 at 11:01 AM ..
09-10-2017, 11:08 AM
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Quote:
Originally Posted by
Kamms
How large is the CIN designated CSA?
Answer: the same at its MSA.
Cleveland's current CSA is its old MSA. Counties directly adjacent to Cuyahoga County are no longer counted in CLE MSA with new census rules so it's like over a million+ people sitting there. Imagine 1 million people or sitting adjacent to Hamilton and Franklin Counties not being counted in CIN and COL MSAs.
The CLE MSA is now 5 counties....CIN is about 10.
Over 1 million+ people did not leave CLE MSA in 10 years. Sorry I know that's what other cities in OH want to believe. So, in CLE if someone moves from Brecksville (Cuyahoga Co) and moves to Hudson (into adjacent Summit Co.) then CLE MSA loses 1 person.
The CLE area is sprawling.
CSAs are much more accurate and are not limited to the media market. Nice try though.
The Cincinnati CSA is actually 2 counties larger than its MSA, so not the same.
Do you think Jeff Bezos is analyzing how many counties are in a city's CSA? I don't. I don't think Amazon's looking at things in the same way that Ohio 3-C homers judge their importance. People need to be realistic.
09-10-2017, 11:19 AM
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Quote:
Originally Posted by
jbcmh81
Also, why are people arguing about this? It's an interesting debate, but none of the 3-Cs stand any chance, so no reason to get all worked up either way. It'll likely go to a much larger city than any of them.
Again, why isn't there a thread in the CIN forum on this topic then; that's how you avoid arguments especially with the same CIN posters that come with your CIN city forum starter kit.
There's obviously zero (-0-) enthusiasm in CIN for this Amazon project. So the alternative is to crash into CLE's discussion and point out CIN superiority in getting this. CLE needs to be humbled after all.
The real reason is that CLE has gotten too much (actually any) positive exposure; the RNC going to CLE really has ruffled CIN's feathers as the RNC showed off the new CLE to the country and world.
CIN needs to upgrade its Arena. Instead of focusing on metro light-rail systems, it needs to get that arena upgraded; problem is, there is no NHL or NBA franchise to use it to the huge investment worthwhile.
09-10-2017, 11:29 AM
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Quote:
Originally Posted by
jbcmh81
The Cincinnati CSA is actually 2 counties larger than its MSA, so not the same.
Do you think Jeff Bezos is analyzing how many counties are in a city's CSA? I don't. I don't think Amazon's looking at things in the same way that Ohio 3-C homers judge their importance. People need to be realistic.
Can you follow along here please...CIN streetcar guy made sure to announce CLE is the 3rd OH city. Just another misleading fact from the CIN spin machine.
Actually the CIN MSA is 13 counties...CLE MSA has 5 counties.
Oh, the CIN CSA adds 90,000...wow.
CLE's CSA adds 1.5 million to its MSA; Greater Cleveland-Northeast Ohio adds a total of about 2.3 million to CLE's MSA...totaling about 4.3 million people.
The CLE media market is twice the size of CIN's...move on now.
Last edited by Kamms; 09-10-2017 at 11:41 AM ..
09-10-2017, 11:30 AM
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The MSA/CSA argument as it pertains to Cleveland and NEO as a whole is a losing battle with the cheerleaders of the other 2 Cs. They are so incapable of grasping the obvious that it really makes no sense in even pursuing it as an argument. However, if you live in NEO, you understand the economic influence of the nuclear city and county. Tbh, there's really not much of a comparison. Cleveland's central influence affects a population of close to 5 million people.
09-10-2017, 11:47 AM
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Quote:
Originally Posted by
Cleveland_Collector
The MSA/CSA argument as it pertains to Cleveland and NEO as a whole is a losing battle with the cheerleaders of the other 2 Cs. They are so incapable of grasping the obvious that it really makes no sense in even pursuing it as an argument. However, if you live in NEO, you understand the economic influence of the nuclear city and county. Tbh, there's really not much of a comparison. Cleveland's central influence affects a population of close to 5 million people.
Right, I know making the point is useless. I was around some CIN people in CLE last year for the 1st time. I guess they were expecting some small town dump. The Rapid Transit system blew them away...we were on a Blue Line train...commenting that they ''didn't think CLE was this big''....no comparison.
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Occupied housing units (%)
Vacant housing units (%)
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Vacancy status - Rented or sold, not occupied (%)
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1996 Presidential Elections Results (%) - Democratic Party (Clinton)
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2004 Presidential Elections Results (%) - Democratic Party (Kerry)
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School enrollment - Not enrolled (%)
Median number of rooms in houses and condos
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Density of houses
Urban houses (%)
Rural houses (%)
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Mean number of vehichles in owner occupied houses
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Mortgage status - with mortgage (%)
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Mortgage status - with home equity loan (%)
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Average family size
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Geographical mobility - Same house 1 year ago (%)
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Housing units in structures - 1, detached (%)
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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)
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Working at home (%)
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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 (%)