07-05-2013, 01:30 AM
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My family needs to relocate to the Milwaukee suburbs this summer. Schools are our top priority and we really want a family oriented place. Budget is not an issue. My husband will be commuting to downtown for work and we have three children heading to elementary school.
We recently visited and narrowed our choices down to Mequon or Elm Grove. We love the charm of Elm Grove coupled with all the shopping in that area. However, Mequon seems like it is more connected with downtown and we like the proximity to the lake.
Mainly, we don't know anything about the people and vibe in each town. Are folks down-to-earth and family oriented? How do the two towns compare to each other? What are the best and worst aspects of living in each town? Is either town snooty?
Any information would be helpful!
Thanks!
07-05-2013, 01:32 AM
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The last time we were in Milwaukee I saw a girl walking down the sidewalk carrying a cow, I don't think that is snooty at all.
07-05-2013, 11:35 AM
Location: Milwaukee
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Quote:
Originally Posted by
CSD610
The last time we were in Milwaukee I saw a girl walking down the sidewalk carrying a cow, I don't think that is snooty at all.
I have never seen this in my life - where/when exactly was this? And if you can call anywhere "snooty," Mequon would be a good start.
07-05-2013, 01:15 PM
Location: Riverwest, MKE
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Quote:
Originally Posted by
CowsAndBeer
I have never seen this in my life - where/when exactly was this? And if you can call anywhere "snooty," Mequon would be a good start.
Me either. If that person isn't just trolling, I'm guessing it was probably on Brady Street. I've seen so many people taking their "exotic" pets out for a walk on Brady over the years, I doubt anything could surprise me anymore.
To the OP... if you're worried about snooty people, stay away from the WOW Counties (Waukesha-Ozaukee-Washington). It sounds like Whitefish Bay, Glendale, or possibly Shorewood might be closer to what you're looking for.
07-06-2013, 05:29 PM
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Mequon is very snooty. Not sure about Elm Grove.
07-06-2013, 07:45 PM
Location: Mequon, WI
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Mequon is not very snooty, people around here make it seem like Orange County or the North Shore of Chicago. Mequon maybe snooty in terms of how people see them but as far as actually interacting with people from Mequon, not snooty. Just because someone lives in a $800,000 house and drives a luxury car and doesn't wave at you at a stop light doesn't make them snooty. This snooty is more prececption than actually reality. Someone earlier said the North Shore of Milwaukee is not snooty, insert the standard "LOL". You don't need to stay away from the WOW counties there is nothing wrong with them, and writing off whole counties as snooty is extreme generalization.
Naturally you will run into more snooty people or have a higher chance of running into snooty people in wealthy areas and including wealthy urban areas such as the Third Ward, but all of my time I haven't picked up on a high amount of snobbery anywhere in Milwaukee and this is from a guy who plays a lot of golf all over the area. Trust me if you want to increase your odds of running into a snob, play golf. I love golf and everything about it but sometimes my fellow golfers act like they drive a Maybach instead of a Acura.
You'll be fine anywhere in the burbs and the city, and if by chance you run into a snob, write them off and not the whole neighborhood or city.
As for each city itself, Mequon in my mind has a huge advantage of being next to the lake, I love living next to the lake, cooler temps in the summer and warmer temps in the winter plus a day at the beach cures any ailment. Elm grove is surrounded by other burbs and is nice very quiet and a great location in the middle of the metro area. Mequon has it's western side more rural suburban and east of 76th street or Wauwatosa RD as it's called in Mequon is more subdivisions and homes closer together. I prefer Mequon because of the lake and bigger lots and the more space it has to offer. Plus you are a quick ride to Bayshore Mall and big box stores in Grafton when you need them too.
07-07-2013, 01:40 PM
Location: Riverwest, MKE
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Quote:
Originally Posted by
Milwaukee City
Mequon is not very snooty, people around here make it seem like Orange County or the North Shore of Chicago.
That's because the comparison
really isn't off-base. Every major metro area has a place like that, and Mequon happens to be that place for Southeast Wisconsin.
Quote:
Originally Posted by
Milwaukee City
Mequon maybe snooty in terms of how people see them but as far as actually interacting with people from Mequon, not snooty. Just because someone lives in a $800,000 house and drives a luxury car and doesn't wave at you at a stop light doesn't make them snooty. This snooty is more prececption than actually reality. Someone earlier said the North Shore of Milwaukee is not snooty, insert the standard "LOL". You don't need to stay away from the WOW counties there is nothing wrong with them, and writing off whole counties as snooty is extreme generalization.
That's a bit presumptuous to assume that's what everyone has in mind when they say Mequon is snooty, don't you think?
Just the other day one of my classmates from Mequon told the class about the time an officer came to speak to his high school for career day and admitted that the Mequon PD pulls over "any car that doesn't look like it belongs in Mequon." If the idea that it's okay to judge whether or not someone "belongs" in a place based on something as superficial as what type of car they drive isn't snooty, I don't know what is.
Quote:
Originally Posted by
Milwaukee City
writing off whole counties as snooty is extreme generalization.
Yet, residents of those counties FREQUENTLY write the entire city of Milwaukee off as if it were perpetually South Central LA during the height of the crack epidemic... SNOOTY!
Last edited by Devitron5000; 07-07-2013 at 02:14 PM ..
07-08-2013, 09:12 AM
1,258 posts, read
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Reputation: 1323
Quote:
Originally Posted by
Devitron5000
Yet, residents of those counties FREQUENTLY write the entire city of Milwaukee off as if it were perpetually South Central LA during the height of the crack epidemic... SNOOTY!
I have met several people from the further out North Shore suburbs - Mequon, Thiensville, Cedarburg, Port Washington, etc. that hold this exact viewpoint. They basically seem to think we're better of bulldozing or fencing off Milwaukee because its a failed city, and the city failed due to its own poor choices, and that Milwaukee needs to be more like their home suburb, and if it was then it wouldn't be such a terrible place. If Milwaukee wanted, it could easily pull itself out of poverty, but for some perplexing reason the people that live there have no motivation to do so and thus it perpetually remains a **** hole.
07-08-2013, 09:15 AM
Location: La Jolla, CA
7,284 posts, read
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Reputation: 11675
This thread might just be another drive by to stir up traffic in the slower forums. They always have a borderline contentious question that looks legitimate on the surface, but is really designed to get people arguing (is Chenequa diverse, are interracial lesbians with adopted Asian kids accepted in South Milwaukee, is Mequon "snooty", is 27th and Capitol a good neighborhood, is Milwaukee County unsafe, is Menomonee Falls good for nightlife, etc).
Also, the OP claims he/she has no budget, and likes the lake. Where did Elm Grove come from? It's nice, but there are other choices, and schools aren't a factor because they have no budget, so private school is always an option, even though most nicer suburbs have good schools. No budget means pretty much limitless options.
Maybe the OP can explain their requirements and budget a bit better.
Last edited by 43north87west; 07-08-2013 at 10:42 AM ..
07-08-2013, 09:43 AM
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Quote:
Originally Posted by
pete6032
I have met several people from the further out North Shore suburbs - Mequon, Thiensville, Cedarburg, Port Washington, etc. that hold this exact viewpoint. They basically seem to think we're better of bulldozing or fencing off Milwaukee because its a failed city, and the city failed due to its own poor choices, and that Milwaukee needs to be more like their home suburb, and if it was then it wouldn't be such a terrible place. If Milwaukee wanted, it could easily pull itself out of poverty, but for some perplexing reason the people that live there have no motivation to do so and thus it perpetually remains a **** hole .
You just agreed with the viewpoint of those from outside the area with this statement right here. Is that what you were intending? It doesn't correlate with the beginning of your post. Milwaukee isn't a s*ithole. I'd rather live in Milwaukee any day than move out into the lily white generic suburbs. .
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Mean house or condo value by units in structure - 2 ($)
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Mean house or condo value by units in structure - 5 or more ($)
Mean house or condo value by units in structure - Boat, RV, van, etc. ($)
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Commute - mean travel time to work (minutes)
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Occupied housing units (%)
Vacant housing units (%)
Owner occupied housing units (%)
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Educational Attainment - No schooling completed (%)
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School Enrollment - Nursery, preschool (%)
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School Enrollment - Graduate or professional (%)
School Enrollment - Not enrolled in school (%)
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School enrollment - Not enrolled (%)
Median number of rooms in houses and condos
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Housing units lacking complete plumbing facilities (%)
Housing units lacking complete kitchen facilities (%)
Density of houses
Urban houses (%)
Rural houses (%)
Households with people 60 years and over (%)
Households with people 65 years and over (%)
Households with people 75 years and over (%)
Households with one or more nonrelatives (%)
Households with no nonrelatives (%)
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Nonfamily households (%)
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Median number of bedrooms in renter occupied houses
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Mean number of vehichles in owner occupied houses
Median number of vehichles in renter occupied houses
Mean number of vehichles in renter occupied houses
Mortgage status - with mortgage (%)
Mortgage status - with second mortgage (%)
Mortgage status - with home equity loan (%)
Mortgage status - with both second mortgage and home equity loan (%)
Mortgage status - without a mortgage (%)
Average family size
Average family size - White
Average family size - Black or African American
Average family size - Asian
Average family size - Hispanic or Latino
Average family size - American Indian and Alaska Native
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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 (%)
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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 (%)
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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 (%)
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 (%)
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Most Common Industries - Wholesale trade (%)
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Most Common Industries - Professional, scientific, and technical services (%)
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Most Common Industries - Administrative and support and waste management services (%)
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Most Common Industries - Arts, entertainment, and recreation (%)
Most Common Industries - Accommodation and food services (%)
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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 (%)
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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 (%)
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Most Common Occupations - Education, training, and library occupations (%)
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Most Common Occupations - Healthcare support occupations (%)
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Most Common Occupations - Fire fighting and prevention, and other protective service workers including supervisors (%)
Most Common Occupations - Law enforcement workers including supervisors (%)
Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
Most Common Occupations - Personal care and service occupations (%)
Most Common Occupations - Sales and office occupations (%)
Most Common Occupations - Sales and related occupations (%)
Most Common Occupations - Office and administrative support occupations (%)
Most Common Occupations - Natural resources, construction, and maintenance occupations (%)
Most Common Occupations - Farming, fishing, and forestry occupations (%)
Most Common Occupations - Construction and extraction occupations (%)
Most Common Occupations - Installation, maintenance, and repair occupations (%)
Most Common Occupations - Production, transportation, and material moving occupations (%)
Most Common Occupations - Production occupations (%)
Most Common Occupations - Transportation occupations (%)
Most Common Occupations - Material moving occupations (%)
People in Group quarters - Institutionalized population (%)
People in Group quarters - Correctional institutions (%)
People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
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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 (%)