04-06-2014, 08:49 PM
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Reputation: 1230
Stats via City-data dated April 06, 2014
The ratio of number of residents in Port Richey to the number of sex offenders is 34 to 1
The ratio of number of residents in Brooksville to the number of sex offenders is 53 to 1
The ratio of number of residents in Homosassa to the number of sex offenders is 58 to 1
The ratio of number of residents in St Petersburg zip code 33714 to the number of sex offenders is 80 to 1
The ratio of number of residents in Zephyrhills to the number of sex offenders is 95 to 1
The ratio of number of residents in Dade City to the number of sex offenders is 98 to 1
The ratio of number of residents in Dover to the number of sex offenders is 109 to 1
The ratio of number of residents in New Port Richey to the number of sex offenders is 117 to 1
The ratio of number of residents in Seffner to the number of sex offenders is 128 to 1
The ratio of number of residents in St Pete zip code 33701 to the number of sex offenders is 157 to 1
The ratio of number of residents in Tampa Heights & Downtown zip code 33602 to the number of sex offenders is 166 to 1
The ratio of number of residents in San Antonio to the number of sex offenders is 175 to 1
The ratio of number of residents in Riverview to the number of sex offenders is 178 to 1
The ratio of number of residents in Thonotosassa to the number of sex offenders is 182 to 1
The ratio of number of residents in Hudson to the number of sex offenders is 188 to 1
The ratio of number of residents in Sarasota to the number of sex offenders is 192 to 1
The ratio of number of residents in Wesley Chapel to the number of sex offenders is 198 to 1
The ratio of number of residents in Lakeland to the number of sex offenders is 211 to 1
The ratio of number of residents in Bradenton to the number of sex offenders is 218 to 1
The ratio of number of residents in St Pete zip code 33705 to the number of sex offenders is 224 to 1
The ratio of number of residents in Seminole to the number of sex offenders is 234 to 1
The ratio of number of residents in Ybor City zip code 33605 to the number of sex offenders is 247 to 1
The ratio of number of residents in Plant City to the number of sex offenders is 249 to 1
The ratio of number of residents in Valrico to the number of sex offenders is 256 to 1
The ratio of number of residents in University & Lake Carroll zip code 33612 to the number of sex offenders is 291 to 1
The ratio of number of residents in Gibsonton to the number of sex offenders is 292 to 1
The ratio of number of residents in Tampa to the number of sex offenders is 293 to 1
The ratio of number of residents in Progress Village/Palm River-Clair Mel zip code 33619 to the number of sex offenders is 297 to 1
The ratio of number of residents in Clearwater to the number of sex offenders is 319 to 1
The ratio of number of residents in East Lake-Orient Park zip code 33610 to the number of sex offenders is 312 to 1
The ratio of number of residents in Old Seminole H/Lowry/Egypt zip code 33604 to the number of sex offenders is 332 to 1
The ratio of number of residents in Seminole Heights zip code 33603 to the number of sex offenders is 349 to 1
The ratio of number of residents in Holiday to the number of sex offenders is 353 to 1
The ratio of number of residents in St. Pete zip code 33713 to the number of sex offenders is 356 to 1
The ratio of number of residents in St Pete zip code 33709 to the number of sex offenders is 360 to 1
The ratio of number of residents in Hernando County to the number of sex offenders is 389 to 1
The ratio of number of residents in Wimauma zip code 33598 to the number of sex offenders is 409 to 1
The ratio of number of residents in Odessa to the number of sex offenders is 420 to 1
The ratio of number of residents in Citrus County to the number of sex offenders is 442 to 1
The ratio of number of residents in Largo to the number of sex offenders is 444 to 1
The ratio of number of residents in Pasco County to the number of sex offenders is 451 to 1
The ratio of number of residents in Lutz to the number of sex offenders is 474 to 1
The ratio of number of residents in South Tampa zip code 33616 to the number of sex offenders is 489 to 1
The ratio of number of residents in Spring Hill to the number of sex offenders is 493 to 1
The ratio of number of residents in Pinellas Park to the number of sex offenders is 537 to 1
The ratio of number of residents in Hillsborough County to the number of sex offenders is 544 to 1
The ratio of number of residents in St Pete zip code 33702 to the number of sex offenders is 544 to 1
The ratio of number of residents in Beverly Hills to the number of sex offenders is 545 to 1
The ratio of number of residents in Pinellas County to the number of sex offenders is 547 to 1
The ratio of number of residents in Gulfport to the number of sex offenders is 558 to 1
The ratio of number of residents in St Pete zip code 33703 to the number of sex offenders is 559 to 1
The ratio of number of residents in Hernando Beach to the number of sex offenders is 562 to 1
The ratio of number of residents in St Pete Beach zip code 33708 to the number of sex offenders is 599 to 1
The ratio of number of residents in Land O' Lakes to the number of sex offenders is 617 to 1
The ratio of number of residents in Florida to the number of sex offenders is 644 to 1
The ratio of number of residents in Apollo Beach to the number of sex offenders is 668 to 1
The ratio of number of residents in St Pete zip code 33704 to the number of sex offenders is 684 to 1
The ratio of number of residents in St Pete zip code 33710 to the number of sex offenders is 771 to 1
The ratio of number of residents in Belleair Bluffs to the number of sex offenders is 717 to 1
The ratio of number of residents in Redington Beach to the number of sex offenders is 737 to 1
The ratio of number of residents in Tarpon Springs to the number of sex offenders is 758 to 1
The ratio of number of residents in Oldsmar to the number of sex offenders is 791 to 1
The ratio of number of residents in Dunedin to the number of sex offenders is 855 to 1
The ratio of number of residents in South Tampa zip code 33611 to the number of sex offenders is 874 to 1
The ratio of number of residents in Parrish to the number of sex offenders is 887 to 1
The ratio of number of residents in Drew Park/Egypt zip code 33614 to the number of sex offenders is 889 to 1
The ratio of number of residents in Fish Hawk zip code 33547 to the number of sex offenders is 1,004 to 1
The ratio of number of residents in Bay Pines to the number of sex offenders is 1,011 to 1
The ratio of number of residents in Kenneth City to the number of sex offenders is 1,069 to 1
The ratio of number of residents in Suitcase City & Lake Magdalene zip code 33613 to the number of sex offenders is 1,070 to 1
The ratio of number of residents in Hyde Park zip code 33606 to the number of sex offenders is 1,117 to 1
The ratio of number of residents in Carrollwood zip code 33625 to the number of sex offenders is 1,103 to 1
The ratio of number of residents in Redington Shores to the number of sex offenders is 1,219 to 1
The ratio of number of residents in Treasure Island to the number of sex offenders is 1,235 to 1
The ratio of number of residents in Indian Rocks Beach to the number of sex offenders is 1,279 to 1
The ratio of number of residents in Sun City zip code 33573 to the number of sex offenders is 1,291 to 1
The ratio of number of residents in Safety Harbor to the number of sex offenders is 1,312 to 1
The ratio of number of residents in Belleair to the number of sex offenders is 1,352 to 1
The ratio of number of residents in Bloomingdale/Brandon zip code 33511 to the number of sex offenders is 1,420 to 1
The ratio of number of residents in Madeira Beach to the number of sex offenders is 1,438 to 1
The ratio of number of residents in Brandon to the number of sex offenders is 1,465 to 1
The ratio of number of residents in Town N Country zip code 33615 to the number of sex offenders is 1,497 to 1
The ratio of number of residents in South Tampa zip code 33609 to the number of sex offenders is 1,576 to 1
The ratio of number of residents in South Tampa zip code 33629 to the number of sex offenders is 1,641 to 1
The ratio of number of residents in Indian Shores to the number of sex offenders is 1,763 to 1
The ratio of number of residents in Palm Harbor to the number of sex offenders is 1,832 to 1
The ratio of number of residents in Temple Terrace to the number of sex offenders is 2,270 to 1
The ratio of number of residents in Westchase zip code 33626 to the number of sex offenders is 2,649 to 1
The ratio of number of residents in Tierra Verde to the number of sex offenders is 3,537 to 1
The ratio of number of residents in South Pasadena to the number of sex offenders is 5,526 to 1
The ratio of number of residents in Trinity to the number of sex offenders is 5,661 to 1
The ratio of number of residents in New Tampa zip code 33647 to the number of sex offenders is 5,933 to 1
(Note: Higher values mean more residents per sex offender)
Last edited by housingcrashsurvivor; 04-06-2014 at 10:06 PM ..
04-06-2014, 09:22 PM
27,203 posts, read
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Reputation: 15651
What about the many money begging sex offenders that are home less...I wish people wouldn't give money but food instead since that will eliminate the beggars and perhaps will get them to do something else instead.
Many if the people on the street corners are sex offenders and many people don't realize that. Whatever is on the sign doesn't mean it is true statement.
04-07-2014, 01:32 AM
35,309 posts, read
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Reputation: 30997
Looks like the Tampa Bay area is rife with sex offenders, maybe not the best place to move if you are worried about such issues..
04-07-2014, 01:40 AM
35,095 posts, read
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Reputation: 62660
They live everywhere and most don't even know it because they have not been caught yet. Any statistic is skewed because it only counts those who have been caught and convicted which always gives a false sense of security when looking for a home to purchase.
04-07-2014, 03:21 AM
35,309 posts, read
51,976,495 times
Reputation: 30997
Maybe our op can give us the stats on how many sex offenders are caught to those that arent.
04-07-2014, 04:19 AM
792 posts, read
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Reputation: 822
sex offenders is a broad term that encompasses a lot of people that probably don't deserve it. For example, if you have an 18 year old male, who dates a 17 year old female, technically that makes him a sexual offender, since she is underage.
A more telling fact would be the number of sexual PREDATORS in your neighborhood.
04-07-2014, 06:14 AM
27,203 posts, read
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Reputation: 15651
I agree that people like in the example of a different poster should not be incl. but most sex offenders are not in that category.
California and Florida seem to have most see offenders due to the nice weather and many can stay outdoors most of the year and as long as people believe every word they lie about on a sign and give them money then more and more will come over here. Many make more than minimum wage with less hours to stand outside for it.
They don't pay taxes and don't contribute to society. I feel sorry for the real people in need who don't have criminal backgrounds and who now are hard to determine who they are since so many on these corners are criminals and/or are alcoholics or drug addicts.
04-07-2014, 09:40 AM
1,500 posts, read
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Reputation: 1230
Quote:
Originally Posted by
bentlebee
What about the many money begging sex offenders that are home less...I wish people wouldn't give money but food instead since that will eliminate the beggars and perhaps will get them to do something else instead.
Many if the people on the street corners are sex offenders and many people don't realize that. Whatever is on the sign doesn't mean it is true statement.
We hear stories that some people scam money by portraying themselves as homeless but that's likely rare and I'd rather that person work a corner than as a bankster. If I feel like giving a dollar, I don't concern myself with how that person might use the dollar. Their life is not mine to live for them.
As to "many...people on the street corners are sex offenders....": I'm looking for stats to affirm or deny that. Laws prevent offenders from living within restricted zones, landlords deny access to housing and employment is also often denied so poverty is a problem. But as I presume more people in the general population are not sex offenders, then I would presume that even if there is some percentage chance of the homeless more so being an offender, I'd require stats to believe the rates are much higher than the general population which makes me doubt that "many...are offenders." Show me stats proving otherwise and I'd easily change my opinion on that.
Quote:
Originally Posted by
jambo101
Looks like the Tampa Bay area is rife with sex offenders, maybe not the best place to move if you are worried about such issues..
Just a quick google of stats show there to be 750,000 known offenders in the USA so with a population of 313 million, that's a ratio of 417 to 1.
Stats show that the Tampa Bay offender population is lower than the national average:
The ratio of number of residents in Pasco County to the number of sex offenders is 451 to 1
The ratio of number of residents in Hillsborough County to the number of sex offenders is 544 to 1
The ratio of number of residents in Pinellas County to the number of sex offenders is 547 to 1
Quote:
Originally Posted by
CSD610
They live everywhere and most don't even know it because they have not been caught yet. Any statistic is skewed because it only counts those who have been caught and convicted which always gives a false sense of security when looking for a home to purchase.
Arguing skewed stats is silly because if they are skewed in one place then likely also in another and so therefore one relative to the other still shows what one place is relative to another with regard to the known numbers, assuming similar margins of error.
Quote:
Originally Posted by
jambo101
Maybe our op can give us the stats on how many sex offenders are caught to those that arent.
Even if some aren't caught, again, the stats are still relevant because there would likely be similar margins of error in any location. So the stats are telling nonetheless.
But I've no doubt that non-reporting is a problem. Part of that problem I suspect is that people are embarrassed by their own sexuality such that they are shy about reporting. And there even are institutions in the world, religious ones at that, working against the safety of victims both by making them feel guilty about their own sexuality and by protecting offenders. For instance:
Italy bishops say they don?t have to report abuse - The Japan News
ROME (AP)—Italy’s bishops have adopted a Vatican-backed sex abuse policy that says they have no obligation to inform police if they suspect a child has been molested.
04-07-2014, 10:00 AM
1,500 posts, read
3,312,897 times
Reputation: 1230
Quote:
Originally Posted by
bentlebee
...California and Florida seem to have most see offenders....
Being homeless is not an offense. Sexual offending is an offense. One is not the other.
According to
Map: Registered Sex Offenders By State : NPR
The states with the most sexual offenders as a percent of their populations are:
Washington
Oregon
California
South Dakota
Oklahoma
Arkansas
Wisconsin
Michigan
Vermont
New Hampshire
&
Delaware
04-07-2014, 01:04 PM
Location: Chambersburg PA
1,738 posts, read
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Reputation: 1483
They might not be homeless if places like Fla. didn't have rediculous residency restrictions. Residency restrictions have actually been shown to be useless but yet people still want them...it just makes people homeless and harder to keep track of, and keeps them from getting jobs where they could be productive
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Population - Males (%) - Multirace
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Population - Females (%) - Black or African American
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Place of birth - Foreign born (%)
Housing units in structures - 1, detached (%)
Housing units in structures - 1, attached (%)
Housing units in structures - 2 (%)
Housing units in structures - 3 or 4 (%)
Housing units in structures - 5 to 9 (%)
Housing units in structures - 10 to 19 (%)
Housing units in structures - 20 to 49 (%)
Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
Renter moved in on average (years ago)
Year householder moved into unit - Moved in 1999 to March 2000 (%)
Year householder moved into unit - Moved in 1995 to 1998 (%)
Year householder moved into unit - Moved in 1990 to 1994 (%)
Year householder moved into unit - Moved in 1980 to 1989 (%)
Year householder moved into unit - Moved in 1970 to 1979 (%)
Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
Means of transportation to work - Public transportation (%)
Means of transportation to work - Bus or trolley bus (%)
Means of transportation to work - Streetcar or trolley car (%)
Means of transportation to work - Subway or elevated (%)
Means of transportation to work - Railroad (%)
Means of transportation to work - Ferryboat (%)
Means of transportation to work - Taxicab (%)
Means of transportation to work - Motorcycle (%)
Means of transportation to work - Bicycle (%)
Means of transportation to work - Walked (%)
Means of transportation to work - Other means (%)
Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
Most Common Industries - Agriculture, forestry, fishing and hunting (%)
Most Common Industries - Mining, quarrying, and oil and gas extraction (%)
Most Common Industries - Construction (%)
Most Common Industries - Manufacturing (%)
Most Common Industries - Wholesale trade (%)
Most Common Industries - Retail trade (%)
Most Common Industries - Transportation and warehousing, and utilities (%)
Most Common Industries - Transportation and warehousing (%)
Most Common Industries - Utilities (%)
Most Common Industries - Information (%)
Most Common Industries - Finance and insurance, and real estate and rental and leasing (%)
Most Common Industries - Finance and insurance (%)
Most Common Industries - Real estate and rental and leasing (%)
Most Common Industries - Professional, scientific, and management, and administrative and waste management services (%)
Most Common Industries - Professional, scientific, and technical services (%)
Most Common Industries - Management of companies and enterprises (%)
Most Common Industries - Administrative and support and waste management services (%)
Most Common Industries - Educational services, and health care and social assistance (%)
Most Common Industries - Educational services (%)
Most Common Industries - Health care and social assistance (%)
Most Common Industries - Arts, entertainment, and recreation, and accommodation and food services (%)
Most Common Industries - Arts, entertainment, and recreation (%)
Most Common Industries - Accommodation and food services (%)
Most Common Industries - Other services, except public administration (%)
Most Common Industries - Public administration (%)
Occupation diversity
Most Common Occupations - Management, business, science, and arts occupations (%)
Most Common Occupations - Management, business, and financial occupations (%)
Most Common Occupations - Management occupations (%)
Most Common Occupations - Business and financial operations occupations (%)
Most Common Occupations - Computer, engineering, and science occupations (%)
Most Common Occupations - Computer and mathematical occupations (%)
Most Common Occupations - Architecture and engineering occupations (%)
Most Common Occupations - Life, physical, and social science occupations (%)
Most Common Occupations - Education, legal, community service, arts, and media occupations (%)
Most Common Occupations - Community and social service occupations (%)
Most Common Occupations - Legal occupations (%)
Most Common Occupations - Education, training, and library occupations (%)
Most Common Occupations - Arts, design, entertainment, sports, and media occupations (%)
Most Common Occupations - Healthcare practitioners and technical occupations (%)
Most Common Occupations - Health diagnosing and treating practitioners and other technical occupations (%)
Most Common Occupations - Health technologists and technicians (%)
Most Common Occupations - Service occupations (%)
Most Common Occupations - Healthcare support occupations (%)
Most Common Occupations - Protective service occupations (%)
Most Common Occupations - Fire fighting and prevention, and other protective service workers including supervisors (%)
Most Common Occupations - Law enforcement workers including supervisors (%)
Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
Most Common Occupations - Personal care and service occupations (%)
Most Common Occupations - Sales and office occupations (%)
Most Common Occupations - Sales and related occupations (%)
Most Common Occupations - Office and administrative support occupations (%)
Most Common Occupations - Natural resources, construction, and maintenance occupations (%)
Most Common Occupations - Farming, fishing, and forestry occupations (%)
Most Common Occupations - Construction and extraction occupations (%)
Most Common Occupations - Installation, maintenance, and repair occupations (%)
Most Common Occupations - Production, transportation, and material moving occupations (%)
Most Common Occupations - Production occupations (%)
Most Common Occupations - Transportation occupations (%)
Most Common Occupations - Material moving occupations (%)
People in Group quarters - Institutionalized population (%)
People in Group quarters - Correctional institutions (%)
People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
People in Group quarters - Other hospitals or wards for chronically ill (%)
People in Group quarters - Hospitals or wards for drug/alcohol abuse (%)
People in Group quarters - Mental (Psychiatric) hospitals or wards (%)
People in Group quarters - Schools, hospitals, or wards for the mentally retarded (%)
People in Group quarters - Schools, hospitals, or wards for the physically handicapped (%)
People in Group quarters - Institutions for the deaf (%)
People in Group quarters - Institutions for the blind (%)
People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)