01-24-2016, 06:16 PM
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We've lost more large employers in the last 10 years than we did the prior year, and the startups are not enough to recover those jobs. If you were in tech in 2005 it was a much better market. Most of the guys I know in their 40's can't find real jobs and do some kind of self-employment gig (if they are talented and driven enough) and a fair amount of them are bailing or living off of their parents. It's the end of the cycle now, I expect more contraction over the next 5-10 years. Home equity is propping up a lot of middle class folks.
The paradise tax often is connected with the lowered expectations of people who move somewhere for weather. We've given up on relocating candidates - we can't get experienced professionals to relocate here even with a generous relocation stipend and six figure salaries, it's just not enough. They say they want to move here and then they we fly them out and see what their money gets and they stay put. The folks who want to move here, will do so regardless, they or their wife has a job or family here and we can hire them after they've moved at a lower salary and no relo. Sunshine tax in operation.
01-24-2016, 06:30 PM
Location: Miami (prev. NY, Atlanta, SF, OC and San Diego)
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Unrelated, but on the topic of tech, my firm--a bellwether semiconductor company--announced earlier this week that as of April 1 employees will no longer be able to purchase additional company stock as part of the 401K program. Existing money can remain but new contributions will not be allowed after that date. They stated this decision aligns with competitive practice as many industry peers and other large companies have taken similar action with respect to company stock...has me wondering if they see dark storm clouds gathering on the horizon.
01-24-2016, 08:59 PM
1,271 posts, read
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Reputation: 642
Quote:
Originally Posted by
Sassberto
We've lost more large employers in the last 10 years than we did the prior year, and the startups are not enough to recover those jobs. If you were in tech in 2005 it was a much better market. Most of the guys I know in their 40's can't find real jobs and do some kind of self-employment gig (if they are talented and driven enough) and a fair amount of them are bailing or living off of their parents. It's the end of the cycle now, I expect more contraction over the next 5-10 years. Home equity is propping up a lot of middle class folks.
The paradise tax often is connected with the lowered expectations of people who move somewhere for weather. We've given up on relocating candidates - we can't get experienced professionals to relocate here even with a generous relocation stipend and six figure salaries, it's just not enough. They say they want to move here and then they we fly them out and see what their money gets and they stay put. The folks who want to move here, will do so regardless, they or their wife has a job or family here and we can hire them after they've moved at a lower salary and no relo. Sunshine tax in operation.
I'd say the ones with families are the ones who will not move often, DINK'S not so much plus if the salary for one or the other balances out the cost of living. Many I know in their 40's could care less about owning a home at this point, especially after the housing fiasco in Miami that many went through, I didn't buy because I had no long term plans of staying or paying bubble prices. Plenty do not feel the stability their parents or grandparents had, face it the market is more volatile and jobs just do not last 30 years anymore.
Times are changing, a lot of recruiters are telling me they cannot get many experienced Engineers to relocate to the Valley, appears the local universities still cannot churn out enough talent to learn on the job after all.
01-24-2016, 09:01 PM
1,271 posts, read
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Reputation: 642
Quote:
Originally Posted by
elchevere
Unrelated, but on the topic of tech, my firm--a bellwether semiconductor company--announced earlier this week that as of April 1 employees will no longer be able to purchase additional company stock as part of the 401K program. Existing money can remain but new contributions will not be allowed after that date. They stated this decision aligns with competitive practice as many industry peers and other large companies have taken similar action with respect to company stock...has me wondering if they see dark storm clouds gathering on the horizon.
The bubble will soon pop, I'm calling it this year, 3rd quarter.
01-25-2016, 03:23 PM
1,175 posts, read
1,913,244 times
Reputation: 999
Quote:
Originally Posted by
Sassberto
We've lost more large employers in the last 10 years than we did the prior year, and the startups are not enough to recover those jobs. If you were in tech in 2005 it was a much better market. Most of the guys I know in their 40's can't find real jobs and do some kind of self-employment gig (if they are talented and driven enough) and a fair amount of them are bailing or living off of their parents. It's the end of the cycle now, I expect more contraction over the next 5-10 years. Home equity is propping up a lot of middle class folks.
The paradise tax often is connected with the lowered expectations of people who move somewhere for weather. We've given up on relocating candidates - we can't get experienced professionals to relocate here even with a generous relocation stipend and six figure salaries, it's just not enough. They say they want to move here and then they we fly them out and see what their money gets and they stay put. The folks who want to move here, will do so regardless, they or their wife has a job or family here and we can hire them after they've moved at a lower salary and no relo. Sunshine tax in operation.
It's part salary and it's also part growth. If you're any good at what you do you start to look at more than just salary. And sadly there just aren't many companies in SD that offer the other aspects people look for. SD likes to tout itself as analytics, data science, infosec but if you actually dig into that space you start to realize there just aren't that many who actually do any of that. Or they have a sales/marketing office here and the people who do the hardcore analysis or machine learning are elsewhere. Or it's a 4 person startup that will sell or never grow beyond that. Hell, there is a infosec software company here that doesn't build any of the actual infosec software in the US. Which means they don't actually have real infosec developer and analytic's jobs here.
That's the problem with SD many times as it's image over reality. There are far too many companies in SD that claim to be "tech" and they really have a few tech guys or none at all as it's just outsourced or contracted out. If you're an outsider or just use wikipedia or CNN like reports, you'd assume there are tons of jobs, but if you dig a little deeper or actually are in the space, you start to learn about who really does something and who really is just all media and marketing hype.
Nothing like seeing a data scientist job and learning it's more like a Jr excel spreadsheet business analyst that pays nothing. Or somebody needs a big data developer and the data can fit on your 32GB phone. Or there is a white hate opening, but most of your time is spent doing help desk employee support stuff. Or even worse they are a bigger company that actually has all the latest and greatest hyped technologies, but half of it isn't used or it just collect dusts. And they spent millions on these tools. Not exactly the same thing.
So when you're good and have options, you don't just look at one job. Many people, especially in technology, jump ship every few years. So if that's the case you probably do research to see what else is around, what kind of growth, what kind of companies, what kind of startups, what kind of employees, the demographics, and so on.
Places like the Bay Area, Seattle, NYC, and even LA have a lot of similar hyped BS companies, but there are a lot of interesting things to work on and real possibilities, even if only for a few years. And then you jump ship and find something else cool. That happens all the time, especially in the Bay Area and Seattle. SD is more jump ship and wind up working for some company that is more interested in marketing BS than providing anything real to do. Plus there just is no VC or Angel investment here, so even if you're a real tech startup, you probably wind up leaving anyway. Or if you're an employee you'd have to move.
Huge difference that most people on the outside don't understand or people on the inside pretend like it's not the case or they are more inclined to have that 9-5 mindset and be in trouble by the time they are 40 because everybody else passed them skills wise and 22 year olds are cheaper.
Sometimes it's not just the salary, which SD falls short on in many instances as it is, but it's also growth and other opportunities. If you're really good at what you do in technology, SD is probably one of the last places you'd move to for a job. Now if you work remote or travel often or are tired of the 100 hour work weeks or are more a marketing/sales type pushing hype over real technology, and have money, SD is an awesome place.
01-25-2016, 07:50 PM
Location: Sandy Eggo - Kensington
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Reputation: 3194
Quote:
Originally Posted by
mixxalot
I have lived and worked both in San Diego and in Silicon Valley/SF area. Pay is almost 30% better in Silicon Valley but living cost also 30% higher as well. BUT if you work for a SF/SV based company in San Diego the pay is decent. I keep getting low ball offers from tech recruiters in San Diego who offer only 90-120K for a VERY senior laundry list engineering job compared to the 200K salaries for the same job in the bay area.
But everyone knows that average salaries in the Bay Area are at least 30% or more than everywhere else in the country, except maybe DC. Not sure why you're surprised to find salaries so much lower here.
And while I'm not part of the tech scene, Robert Half just released a salary survey for tech jobs showing that salaries in SD aren't as low as some people like to make them out to be. As per usual, The Bay Area, Seattle, Boston, DC and NYC are all at the top with SD ranking just beneath them. Any truth to this? Average salaries by city start on page 16.
https://www.roberthalf.com/sites/def...lary_guide.pdf
01-25-2016, 07:56 PM
Location: Sandy Eggo - Kensington
5,291 posts, read
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Reputation: 3194
Quote:
Originally Posted by
tstieber
The 'sunshine tax' is a myth. Silicon Valley is one of the sunniest parts of the country; in fact, San Jose has more than 300 days of sun per year -- more than San Diego -- yet nobody makes that excuse there (or in Phoenix, Vegas, Sacramento, or Denver, which are also Sunny cities but with lower costs of living). Why is San Diego's sunshine more valuable than any other place? Maybe it's not the sunshine itself but the proximity to the beach that is most valuable, but if that were the case, then why is cost of living in Florida so much cheaper than here? The truth is, we make excuses for the low salaries and accept them blindly.
The sunshine tax applies mostly when comparing SD to other high cost cities like Boston, NYC, Seattle, Bay Area and DC. You will never find any sources showing average salaries are higher in places like Atlanta, Dallas, Cleveland or Phoenix. But if you can, please post them here.
01-25-2016, 08:44 PM
3,335 posts, read
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Reputation: 1305
Very few high flying tech companies. Some of the established companies are struggling like Qualcomm.
01-25-2016, 08:51 PM
Location: Sandy Eggo - Kensington
5,291 posts, read
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Reputation: 3194
Quote:
Originally Posted by
the topper
Very few high flying tech companies. Some of the established companies are struggling like Qualcomm.
Don't disagree, but what about average salaries? Lots of engineers in SD
01-25-2016, 08:54 PM
1,271 posts, read
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Reputation: 642
Quote:
Originally Posted by
sdurbanite
But everyone knows that average salaries in the Bay Area are at least 30% or more than everywhere else in the country, except maybe DC. Not sure why you're surprised to find salaries so much lower here.
And while I'm not part of the tech scene, Robert Half just released a salary survey for tech jobs showing that salaries in SD aren't as low as some people like to make them out to be. As per usual, The Bay Area, Seattle, Boston, DC and NYC are all at the top with SD ranking just beneath them. Any truth to this? Average salaries by city start on page 16.
https://www.roberthalf.com/sites/def...lary_guide.pdf
The document you linked only focuses on one part of STEM related positions, seems mainly per IT, does not really go into other Tech, Hardware Enginering, Electrical, or Medical Device.
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Occupied housing units (%)
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Vacancy status - Rented or sold, not occupied (%)
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Educational Attainment - No schooling completed (%)
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School enrollment - Not enrolled (%)
Median number of rooms in houses and condos
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Housing units lacking complete kitchen facilities (%)
Density of houses
Urban houses (%)
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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 (%)
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Housing units in structures - 1, detached (%)
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Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
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 (%)
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Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
Means of transportation to work - Public transportation (%)
Means of transportation to work - Bus or trolley bus (%)
Means of transportation to work - Streetcar or trolley car (%)
Means of transportation to work - Subway or elevated (%)
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Means of transportation to work - 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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Most Common Industries - Construction (%)
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Most Common Industries - Public administration (%)
Occupation diversity
Most Common Occupations - Management, business, science, and arts occupations (%)
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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 (%)