04-01-2014, 11:18 AM
Location: Savannah GA
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Quote:
Originally Posted by
Drewplanner
The commuting relationship between Beaufort and Chatham Counties is less than 5%. Jasper has a 12% relationship with Chatham but a 55% relationship with Beaufort. I don't see HHI being added to Savannah MSA or CSA anytime soon unless some drastic employment/industry shifts occur.
http://lmi.dew.sc.gov/lmi%20site/CommunityProfiles.html
That's why I said
IF and when. But even so, Jasper County's 12 percent commuting threshold is very close to the 15 percent needed to have it added to the Savannah CSA. And because Jasper is already a significant piece of the HHI MSA, it stands to reason that the OMB will soon consider Savannah-HHI one CSA for statistical purposes. Beaufort County joining Savannah's MSA seems unlikely at this time, but it's not out of the realm of possibilty.
The relationship between Jasper and Bulloch counties to Savannah is very similar to that of the outlying counties in Metro Atlanta. For example, nobody thinks of Meriwhether County being part of Metro Atlanta. But it is included in the Atlanta MSA because of commuting patterns between Meriwether and Coweta and Fayete counties, which are solidly part of the MSA. It's a strange interpretation of what makes an MSA or CSA, and I think it's flawed in many respects. But basically, our traditional definition of "metro area" no longer applies anymore. It certainly doesn't apply to the relationship between Savannah and Hilton Head, which are very interconnected despite being separate MSAs.
04-01-2014, 12:35 PM
Location: I-20 from Atlanta to Augusta
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Quote:
Originally Posted by
Columbus1984
But geographically, isn't the Augusta MSA the same size as the Columbus CSA. If so, I highly doubt it would ever get a CSA.
No the Augusta MSA is larger in size and this is why.
Aiken county is one of the largest counties in South Carolina as is Burke County is the second largest in Georgia. Both counties are 1,911sq mi combined. Now compare that to the entire three county Savannah MSA which is only 1,362 sq mi, which makes the argument for classification via MSA difficult to analyze, because you can not include part of a county no matter the size.
Last edited by therealpattman; 04-01-2014 at 12:46 PM ..
04-01-2014, 01:21 PM
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Quote:
Originally Posted by
Columbus1984
But geographically, isn't the Augusta MSA the same size as the Columbus CSA. If so, I highly doubt it would ever get a CSA.
It already touches Columbia's MSA so it's definitely possible. The sprawl that would have to occur...
04-01-2014, 02:42 PM
Location: Piedmont Park
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I agree that the traditional MSA/CSA definitions do not apply to defining regions outside of labor patterns. People might work in their home county but go shopping in another. Statistical areas do not account for shopping/spending patterns which are surely significant economic activities. I also think using counties as building block units for metro regions is a bit obsolete (going back to the comments about Aiken and Burke Counties). I wonder if the Census will ever move to using Census Tracts as the new unit.
04-01-2014, 02:44 PM
Location: Columbus, GA
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Quote:
Originally Posted by
Newsboy
Nice try, but ...
Savananh's 2013 estimated MSA population is 366,047. Savannah's estimated 2013 CSA population is 519,500. HHI's 2013 estimated MSA population is 198,467.
Savannah CSA + HHI MSA = 717,967
Savannah MSA + HHI MSA = 564,514
Fact remains, there are more people already living in the Savannah-HHI region than there are in either Augusta-Aiken or Columbus-Opelika. And that's not likely to change anytime soon, if ever, since all are growing at an even pace.
You didn't say anything about Savannah's CSA in your comment. You specifically said if the Savannah and Hilton Head MSAs combine, it would have a larger population than both the Columbus and Augusta metros...and you statement was inaccurate.
04-01-2014, 02:50 PM
Location: Piedmont Park
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The Savannah-Hinesville-Statesboro CSA is 518,020
04-05-2014, 05:57 PM
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Some of the posts in this reflect the provincial umbrella that repels businesses from investing in cities outside of Atlanta.
Macon has not made any substantial investments in public works, nor have leadership even attempted to create an attractive climate for public-private partnerships to spur economic development. The same can be said for Columbus, Augusta, and the rest the state's competing smaller cities, bar Savannah perhaps. The city of Atlanta, on the other hand, has pumped billions of dollars not only on infrastructure improvements like expanding Hartsfield into one of the world's busiest airports, but into higher education to attract young hopefuls into the robust business landscape. Georgia politicians KNOW that Atlanta is the state's most prized asset and contributes to the majority of Georgia's economic output, and so it'd be foolish to not capitalize on its existing backbone. Why then, would any company want to invest in any other Georgia city when Atlanta provides adequate capital and infrastructure and a proactive business economy that is worthy of a hefty investment?
Quote:
Originally Posted by
Newsboy
I think eventually, Macon is going to benefit enormously for being so close to ATL. Do people realize that it's only 45 minutes from Macon to McDonough / Henry Couny? It's a little over an hour from Macon to ATL airport. The North Macon suburbs (especially Forsyth) are within easy commuting distance of South Metro ATL job centers.
I'm not sure how haphazard urban planning encourages sustainable economic development. It doesn't. Even as the city of Atlanta and the inner suburban core enjoys a re-burgeoning economy, the fringes of the metro continue to suffer as businesses relocate closer to take advantage of developed infrastructure.
Plus, see above. Macon's local leadership must make the initiative to attractive jobs and businesses, not hope to absorb a minuscule portion of Atlanta's growth.
04-05-2014, 07:26 PM
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Quote:
Originally Posted by
nature's message
Some of the posts in this reflect the provincial umbrella that repels businesses from investing in cities outside of Atlanta.
Macon has not made any substantial investments in public works, nor have leadership even attempted to create an attractive climate for public-private partnerships to spur economic development. The same can be said for Columbus, Augusta, and the rest the state's competing smaller cities, bar Savannah perhaps. The city of Atlanta, on the other hand, has pumped billions of dollars not only on infrastructure improvements like expanding Hartsfield into one of the world's busiest airports, but into higher education to attract young hopefuls into the robust business landscape. Georgia politicians KNOW that Atlanta is the state's most prized asset and contributes to the majority of Georgia's economic output, and so it'd be foolish to not capitalize on its existing backbone. Why then, would any company want to invest in any other Georgia city when Atlanta provides adequate capital and infrastructure and a proactive business economy that is worthy of a hefty investment?
These are some excellent points.
Though, it should be noted that there have been some substantial business investments in Columbus and Augusta and, of course, Savannah over the past few decades of explosive economic and population growth in Metro Atlanta.
Also, as I mentioned earlier, it should also be noted that the relative lack of investment in outlying rural areas and smaller cities in larger states with one or more dominating mega-sized large major metro regions is not unique to Georgia.
New York (NYC), Illinois (Chicago), Pennsylvania (Philadelphia, Pittsburgh) and California (LA/Southern California, SF/Bay Area) are all large states with one or two very-large major metro regions where economic investment, economic growth and population growth are a very-severe problem outside of their one or two very-large and dominating major metro regions.
The reason why areas (rural areas and smaller cities) outside of very-large major metro regions often struggle so mightily economically is not necessarily because of a provincial attitude, but often because those sparsely-populated outlying areas just simply don't possess the cultural, logistical and educational (and existing economic) assets that the heavily-populated large major metro regions inside of those states possess.
The relative lack of economic growth in more sparsely-populated outlying areas should be no knock on those areas as dramatically-lower economic growth rates in sparsely-populated outlying areas are very-common in every large state with very-large major metro regions.
Quote:
Originally Posted by
Newsboy
I think eventually, Macon is going to benefit enormously for being so close to ATL. Do people realize that it's only 45 minutes from Macon to McDonough / Henry Couny? It's a little over an hour from Macon to ATL airport. The North Macon suburbs (especially Forsyth) are within easy commuting distance of South Metro ATL job centers.
Quote:
Originally Posted by
nature's message
I'm not sure how haphazard urban planning encourages sustainable economic development. It doesn't. Even as the city of Atlanta and the inner suburban core enjoys a re-burgeoning economy, the fringes of the metro continue to suffer as businesses relocate closer to take advantage of developed infrastructure.
I don't think that Newsboy was trying to make a statement that Macon would benefit from the sprawling development patterns of Atlanta's outer suburbs.
I think that Newsboy was just saying that Macon is in a very-good geographical position to benefit from Atlanta's continued growth because of its relatively close distance to the job and activity centers of Metro Atlanta as a whole.
Also, not all businesses can be located in densely-developed areas at or close to the urban core. Many industrial businesses (like the light manufacturing, distribution and warehousing businesses along the I-75 South corridor in the rising industrial job center that is Henry County) need to be in less densely-developed areas so that they have space to build-out expansive industrial facilities and have easy access to and from an Interstate superhighway for shipping and logistical purposes.
Quote:
Originally Posted by
nature's message
Plus, see above. Macon's local leadership must make the initiative to attractive jobs and businesses, not hope to absorb a minuscule portion of Atlanta's growth.
This is a good point. The thing that has most been holding Macon back from experiencing greater economic success is Macon's political leadership. Though, Newsboy and others make an excellent point that Macon can benefit greatly from its relatively close geographical location to the immense economic assets of Metro Atlanta if the city has the right political leadership to do so.
Quote:
Originally Posted by
Newsboy
I think it's safe to say the Macon and Atlanta CSAs will eventually be joined.
This is a good prediction. One thing that will likely aid in the process of the Macon and Atlanta CSA's becoming joined will be the eventual establishment of high-speed passenger rail service (commuter rail and/or interurban rail service) between Atlanta and Macon as the State of Georgia has preliminary plans on the books to implement commuter rail service between Atlanta and Macon.
04-06-2014, 01:48 AM
Location: Columbus,Georgia
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The airport changed the way how Atlanta built infrastructure. That doesn't mean Columbus has to change its identity because we built something like Aflac.
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Mean house or condo value by units in structure by units in structure - 3 or 4 ($)
Mean house or condo value by units in structure - 5 or more ($)
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Commute - mean travel time to work (minutes)
Travel time to work - Less than 5 minutes (%)
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Educational Attainment - No schooling completed (%)
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School Enrollment - Nursery, preschool (%)
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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 (%)
Housing units lacking complete kitchen facilities (%)
Density of houses
Urban houses (%)
Rural houses (%)
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Households with people 65 years and over (%)
Households with people 75 years and over (%)
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Population in households (%)
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Nonfamily households (%)
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Median number of bedrooms in owner occupied houses
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Median number of vehichles in owner occupied houses
Mean number of vehichles in owner occupied houses
Median number of vehichles in renter occupied houses
Mean number of vehichles in renter occupied houses
Mortgage status - with mortgage (%)
Mortgage status - with second mortgage (%)
Mortgage status - with home equity loan (%)
Mortgage status - with both second mortgage and home equity loan (%)
Mortgage status - without a mortgage (%)
Average family size
Average family size - White
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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 (%)
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Place of birth - Native, outside of US (%)
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Housing units in structures - 1, detached (%)
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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 (%)
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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 (%)
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Means of transportation to work - Motorcycle (%)
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Means of transportation to work - Walked (%)
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Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
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Occupation diversity
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Most Common Occupations - Education, training, and library occupations (%)
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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 (%)