02-28-2015, 06:27 AM
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*Very nice!!!
Google unveils plans for futuristic new headquarters - CNET
Google unveils plans for futuristic new headquarters.
by
Richard Nieva
Google on Friday unveiled plans for an expansion to its corporate campus in Mountain View, Calif. Google Google's corporate headquarters may get even more Google-y.
The search giant on Friday submitted a plan to local officials to expand its offices in Mountain View, Calif., with a whimsical design that incorporates sweeping translucent canopies and glass walls.
The company, which has become known for out-there projects like self-driving
cars and Wi-Fi-beaming balloons, is planning to build on four sites in the city. The buildings will have flexible, movable elements that the company can tailor to different projects.
"Our self-driving car team, for example, has very different needs when it comes to office space from our search engineers," Google said in a
blog post Friday.
The new site underscores the tech industry's explosive expansion -- in influence, economic power, and now, real estate. Google's quirky design rivals the audacious planned headquarters of its biggest competitors. Facebook's new campus is designed by world-famous architect Frank Gerhy and looks like a sprawling forest. Apple's new headquarters in Cupertino, Calif., will be constructed like a giant circle and has been dubbed iSpaceship.
Friday was the last day to submit plans for major building projects in Mountain View's North Bayshore technology district, which surrounds Google's main offices. LinkedIn is also expected to submit a building proposal for the district.
Google also said the expansion will include retail space and bike paths. The company said the design will try to revitalize the existing environment by widening creek beds and enhancing habitats for burrowing owls, which live underground in the area.
The expansion would cover 3.4 million square feet across the four sites,
according to Silicon Valley Business Journal. The company is aiming for the first of the four sites to be completed by 2020. It's still unclear how much the expansion will cost, but Google can afford it -- the company currently has more than $64 billion in cash and short-term investments.
It's also unclear how Mountain View's city council will act on the proposal. Randy Tsuda, the city's community development director, said he hadn't yet seen the plans. The next step will be an initial review of all the various proposals during a meeting in late April, said Tsuda.
One concern for the city is a lack of new housing in the proposal. But Google has said in the past that it would like to add housing near the campus. To entice city officials, Google has also proposed a $200 million public benefits package, according to the Business Journal. The plan includes things like a new public safety building and a bike bridge across nearby highway 101.
For the project, Google worked with architecture firms Heatherwick Studio, based in the United Kingdom, and Denmark-based Bjarke Ingels Group.
"We have set out to imagine the work environments of future Googlers to be as adaptable, flexible and intelligent as the rest of Google's wide spanning portfolio," Bjarke Ingels Group said in an email.
02-28-2015, 09:01 AM
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Why in the actual **** would google or any High end tech company want to bring their HQ to Baltimore. Baltimore doesn't have the general intellect to work at Google. Where are they going to find employees?
02-28-2015, 05:09 PM
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Quote:
Originally Posted by
steppinthrax
Why in the actual **** would google or any High end tech company want to bring their HQ to Baltimore. Baltimore doesn't have the general intellect to work at Google. Where are they going to find employees?
Can you elaborate? There are several great universities in the area where they could find employees. There's no way that they'll hire anybody without a degree unless their an intern or for a low wage job at the facility (e.g. Johns Hopkins Hospital)
02-28-2015, 06:23 PM
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Quote:
Originally Posted by
steppinthrax
Why in the actual **** would google or any High end tech company want to bring their HQ to Baltimore. Baltimore doesn't have the general intellect to work at Google. Where are they going to find employees?
I now I am sort of wasting time debating with a known troll here, but for anyone else who is interested.
City sees jump in young, college-educated residents
Quote:
A new analysis of census data has quantified the explosive growth. It found that the number of college-educated people ages 25 to 34 living within three miles of Baltimore's central business district increased 92 percent from 2000 to 2010. Their numbers grew from about 13,000 to 25,000, according to the study released last week.
The increase was the fourth-highest among the 51 metro areas in the study, which included Boston, Memphis and New York. And it occurred despite an overall decline in population in those Baltimore neighborhoods during the period.
.....
02-28-2015, 09:11 PM
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Quote:
Originally Posted by
Sunflowery
Can you elaborate? There are several great universities in the area where they could find employees. There's no way that they'll hire anybody without a degree unless their an intern or for a low wage job at the facility (e.g. Johns Hopkins Hospital)
People who go to Johns Hopkins go there because it's the best!!!! They come from all over the world to go there. But once they are finished they GET THE **** OUT..... Similar to what I did when I finished my degree at Towson.
In general most that I've seen that go to Hopkins end up moving to Montgomery County, NoVa or HoCo. Most don't stay in Baltimore, it's just too small for their skillset. A doctor family we knew left Cockesville for Bethesda.
After the brain drain, what's left!!!! The rest of Baltimore.
03-01-2015, 07:09 AM
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Damn! That's cold-blooded!
Quote:
Originally Posted by
steppinthrax
Why in the actual **** would google or any High end tech company want to bring their HQ to Baltimore. Baltimore doesn't have the general intellect to work at Google. Where are they going to find employees?
03-01-2015, 07:12 AM
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This is true, and it extends to
most universities and colleges in Baltimore. Students can't wait to get the hell out, taking their intellectual and creative resources elsewhere. That's an effin' shame!?? Baltimore's Brain Drain is another topic for serious discussion.
Quote:
Originally Posted by
steppinthrax
People who go to Johns Hopkins go there because it's the best!!!! They come from all over the world to go there. But once they are finished they GET THE **** OUT..... Similar to what I did when I finished my degree at Towson.
In general most that I've seen that go to Hopkins end up moving to Montgomery County, NoVa or HoCo. Most don't stay in Baltimore, it's just too small for their skillset. A doctor family we knew left Cockesville for Bethesda.
After the brain drain, what's left!!!! The rest of Baltimore.
03-01-2015, 07:19 AM
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Reputation: 1159
Sunflowery, I know you mean well Sis, but, you must realize that Baltimore has a brain drain. I speak with college students all the time, and they can't wait to get the hell out of Baltimore.
Quote:
Originally Posted by
Sunflowery
Can you elaborate? There are several great universities in the area where they could find employees. There's no way that they'll hire anybody without a degree unless their an intern or for a low wage job at the facility (e.g. Johns Hopkins Hospital)
03-01-2015, 11:02 AM
580 posts, read
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Reputation: 740
Quote:
Originally Posted by
Sunflowery
Can you elaborate? There are several great universities in the area where they could find employees. There's no way that they'll hire anybody without a degree unless their an intern or for a low wage job at the facility (e.g. Johns Hopkins Hospital)
Google is notorious for hiring the absolute best and brightest with emphasis on brightest. IQ tests, standardized tests, GPAs, logic tests all play a role in their hiring process for software or engineering jobs. None of the schools in the area are known for comp Sci or engineering.
Also part of the Google appeal is serving as a talent incubator for pursuing your own startup. This area has neither the local talent pool or the capital to fund such endeavors.
I know there are a lot of Google jobs in Michigan but they are more on the advertising side, and thought to be a bone thrown by Eric Page to his Alma Mater and home state.
03-02-2015, 05:36 AM
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Quote:
Originally Posted by
pokeable
Google is notorious for hiring the absolute best and brightest with emphasis on brightest. IQ tests, standardized tests, GPAs, logic tests all play a role in their hiring process for software or engineering jobs. None of the schools in the area are known for comp Sci or engineering .
This.
The Baltimore equivalent of Google would have to be something that draws the best and the brightest of a field the region actually produces a lot of top students in. So that would be medicine, medical research, and public health. So, what would be a high prestige, top of the line mega-company that hires a lot of people in the medical field and is such a leader in the field that it can draw the best from all over the world?
Oh, wait....
ETA: I should add that the second area where the schools in the region produce a lot of talent is probably the arts. Between a MICA, Peabody and perhaps Towson there are a good around of creative types around, and Baltimore not coincidentally has a growing arts scene although nothing Google level yet.
Last edited by Tinawina; 03-02-2015 at 05:55 AM ..
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Travel time to work - Less than 5 minutes (%)
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Travel time to work - 60 to 89 minutes (%)
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School Enrollment - Graduate or professional (%)
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School enrollment - Public schools (%)
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Density of houses
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Households with people 75 years and over (%)
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Population in households (%)
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Nonfamily households (%)
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Mortgage status - with mortgage (%)
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Mortgage status - without a mortgage (%)
Average family size
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Average family size - American Indian and Alaska Native
Average family size - Multirace
Average family size - Other Race
Geographical mobility - Same house 1 year ago (%)
Geographical mobility - Moved within same county (%)
Geographical mobility - Moved from different county within same state (%)
Geographical mobility - Moved from different state (%)
Geographical mobility - Moved from abroad (%)
Place of birth - Born in state of residence (%)
Place of birth - Born in other state (%)
Place of birth - Native, outside of US (%)
Place of birth - Foreign born (%)
Housing units in structures - 1, detached (%)
Housing units in structures - 1, attached (%)
Housing units in structures - 2 (%)
Housing units in structures - 3 or 4 (%)
Housing units in structures - 5 to 9 (%)
Housing units in structures - 10 to 19 (%)
Housing units in structures - 20 to 49 (%)
Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
Renter moved in on average (years ago)
Year householder moved into unit - Moved in 1999 to March 2000 (%)
Year householder moved into unit - Moved in 1995 to 1998 (%)
Year householder moved into unit - Moved in 1990 to 1994 (%)
Year householder moved into unit - Moved in 1980 to 1989 (%)
Year householder moved into unit - Moved in 1970 to 1979 (%)
Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
Means of transportation to work - Public transportation (%)
Means of transportation to work - Bus or trolley bus (%)
Means of transportation to work - Streetcar or trolley car (%)
Means of transportation to work - Subway or elevated (%)
Means of transportation to work - Railroad (%)
Means of transportation to work - Ferryboat (%)
Means of transportation to work - Taxicab (%)
Means of transportation to work - Motorcycle (%)
Means of transportation to work - Bicycle (%)
Means of transportation to work - Walked (%)
Means of transportation to work - Other means (%)
Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
Most Common Industries - Agriculture, forestry, fishing and hunting (%)
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Most Common Industries - Construction (%)
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Most Common Industries - Finance and insurance (%)
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Most Common Industries - Professional, scientific, and technical services (%)
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Most Common Industries - Arts, entertainment, and recreation (%)
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Most Common Industries - Other services, except public administration (%)
Most Common Industries - Public administration (%)
Occupation diversity
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Most Common Occupations - Management, business, and financial occupations (%)
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Most Common Occupations - Computer and mathematical occupations (%)
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Most Common Occupations - Life, physical, and social science occupations (%)
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Most Common Occupations - Healthcare support occupations (%)
Most Common Occupations - Protective service occupations (%)
Most Common Occupations - Fire fighting and prevention, and other protective service workers including supervisors (%)
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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 (%)