11-04-2016, 07:25 AM
4,792 posts, read
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Quote:
Originally Posted by
BRU67
And the liberal argument for the minimum wage is "I think the labor of those people is worth $X, so I'm going to make you pay that, business owner, I'll leave it to you to figure out how to implement it."
This is what they call an unfunded mandate, and I think the whole premise is more than a little arrogant, particularly since most liberal policymakers do not own businesses or live around or interact with those people themselves. It's also an artificial intervention into market forces, which is at best a Band-Aid over a much greater problem.
IMHO, if you want to raise wage rates, implement policies to attract higher paying jobs. Spend less money so taxes are lower, for one example. That will create a higher demand for labor across the board and raise wage rates the correct way.
You didn't refute anything he wrote, just came up with "lawmakers don't own businesses!" by that token, laws shouldn't be passed unless the people in Congress have personal experience on the matter? What? It's like telling a lawmaker who takes the bus that they can't possibly make laws about cars. That's not really the way society functions.
If you think jobs are meant to be stepping stones, that is a terribly flawed argument. Necessary jobs always need to be filled. Why should people not be paid enough for doing something necessary?
11-04-2016, 07:33 AM
Location: Chicago, Tri-Taylor
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Quote:
Originally Posted by
coldwine
I assigned you the task of responding to a list of criteria. You have failed to do so.
I'm still awaiting the response you were told to compose.
Uh oh. Did I go beyond the scope that your talking points can address? You "opened the door," as they'd say in your profession, LOL!
11-04-2016, 07:37 AM
Location: Chicago, Tri-Taylor
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Quote:
Originally Posted by
EddieOlSkool
You didn't refute anything he wrote, just came up with "lawmakers don't own businesses!" by that token, laws shouldn't be passed unless the people in Congress have personal experience on the matter? What? It's like telling a lawmaker who takes the bus that they can't possibly make laws about cars. That's not really the way society functions.
If you think jobs are meant to be stepping stones, that is a terribly flawed argument. Necessary jobs always need to be filled. Why should people not be paid enough for doing something necessary?
And Congress, or in this case the Cook County Board of Commissioners, is the one equipped to decide this, not the market which uses the labor? Le sigh.
Look, just admit it guys. You want to shift wealth from one group to another group which you feel is more deserving than what the job market believes they are worth. I can accept that, if not agree with it (it's a slippery slope for one thing, and just a Band-Aid of course), but at least own it.
11-04-2016, 08:45 AM
Location: Chicago
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Quote:
Originally Posted by
NealIRC
Quote:
Originally Posted by
coldwine
I took both as an undergraduate, as well as econometrics. And those courses were taken at a university quite famous for its economists.
Economics is always wrong. Always. A fundamental flaw in the field is the extreme disconnect between the bull**** theory and subsequent failure to course correct. It is never the economist's fault; it is always a "failure of the model" in one sense or another.
There was quite recently a book published on this very subject: the failure of macroeconomics. Even more recently, there was an amusing tiff between two world-renowned economists over this subject.
I do not know how many people stay in touch with economists-- they have blogs these days-- but the field has never been regarded with less respect than it is right now.
Do you got any examples?
I took a semester of micro and macro each, and I think their fundamental point, I believe, is something called supply and demand. And everything pretty much bases off of that.
Laws of supply and demand, LX curve. If the demand goes up, we must increase the prices.
But there was a 10 principles of economics, and I believe 1 of them, is "assume all people are rational." This is in response to maxiizing profit. Certainly it's possible for someone sometimes to not follow that, i.e., burn money or pay for the more expensive thing for the same quality.
ColdWine, you never replied to this post, and that's why I pasted the crap from Wikipedia.
Is it supply and demand that is always wrong?
The LX curve?
I didn't see you say "primary literature" but I'm still looking for examples.
11-04-2016, 08:47 AM
Location: Chicago
1,769 posts, read
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Reputation: 661
Quote:
Originally Posted by
BRU67
Look, just admit it guys. You want to shift wealth from one group to another group which you feel is more deserving than what the job market believes they are worth. I can accept that, if not agree with it (it's a slippery slope for one thing, and just a Band-Aid of course), but at least own it.
And you know what the vast primary problem with those that have minimum wage jobs? They're all into drugs.
And the drug test is only once - around the time of hiring. So people know to quit drugs for a little bit.
I wish they would have random, surprise drug tests (and something to be stated during the interview).
"Would you submit to random, surprise drug tests, throughout the course of hire?"
11-04-2016, 08:58 AM
Location: Chicago, Tri-Taylor
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Really, we have a low minimum wage rate because we have 11- 20 million largely unskilled illegal immigrants in the country, our high-paying manufacturing jobs have fled overseas, and our property tax based educational system is failing the poor by providing them with a substandard education. Add those things up and labor at the bottom end is going to be cheap.
It is much easier for liberals to wave their magic "social policy wand" and demand that business pay more money than to actually address these issues. I suspect that is because actually addressing the root cause might impact some of their core constituents (public employee unions, affluent staunchly liberal areas with well funded schools, large Democratic voting blocks, etc).
11-04-2016, 12:31 PM
Location: Chicago
937 posts, read
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Quote:
Originally Posted by
BRU67
Really, we have a low minimum wage rate because we have 11- 20 million largely unskilled illegal immigrants in the country
Not directly. Do they push the cost manual laborers can bargain for down? Yes, but not to the degree that automation and other technological advancements do. This has held true for centuries of human advancement.
Quote:
Originally Posted by
BRU67
, our high-paying manufacturing jobs have fled overseas,
Well, again with the tech advancement. They were on death's door anyway. Turnover and labor skill "churn" seems to be a big problem these days.
Quote:
Originally Posted by
BRU67
and our property tax based educational system is failing the poor by providing them with a substandard education.
This seems hardly related to your other points but I wouldn't disagree on the notion that this is bad.
Benefit maximization systems aren't hard to build, computationally. The problem is shifting to a "true" government (a system of wealth exchange from high wealth to low wealth) is potentially seen as heresy
Quote:
Originally Posted by
BRU67
Add those things up and labor at the bottom end is going to be cheap.
Well, off by 1 in those statements but whatever.
Quote:
Originally Posted by
BRU67
It is much easier for liberals to wave their magic "social policy wand" and demand that business pay more money than to actually address these issues. I suspect that is because actually addressing the root cause might impact some of their core constituents (public employee unions, affluent staunchly liberal areas with well funded schools, large Democratic voting blocks, etc).
It's targeting a problem that's bigger than small businesses.
Higher profits signal more investors which signal bigger returns to management. Laborer's hardly get a whiff of the returns from higher profits in many companies. Management moves without acknowledgement of employee standards of living, rakes in more and continues to suck a pool of low wealth dry. Then, it moves on. The example of a leech is a good one.
This affects smaller businesses by having to adhere to policies targeting bigger companies with controversial compensation scales.
11-04-2016, 03:32 PM
Location: Chicago, Tri-Taylor
5,014 posts, read
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Reputation: 3994
Quote:
Originally Posted by
ARaider08
Not directly. Do they push the cost manual laborers can bargain for down? Yes, but not to the degree that automation and other technological advancements do. This has held true for centuries of human advancement.
Well, again with the tech advancement. They were on death's door anyway. Turnover and labor skill "churn" seems to be a big problem these days.
This seems hardly related to your other points but I wouldn't disagree on the notion that this is bad.
Benefit maximization systems aren't hard to build, computationally. The problem is shifting to a "true" government (a system of wealth exchange from high wealth to low wealth) is potentially seen as heresy
Well, off by 1 in those statements but whatever.
It's targeting a problem that's bigger than small businesses.
Higher profits signal more investors which signal bigger returns to management. Laborer's hardly get a whiff of the returns from higher profits in many companies. Management moves without acknowledgement of employee standards of living, rakes in more and continues to suck a pool of low wealth dry. Then, it moves on. The example of a leech is a good one.
This affects smaller businesses by having to adhere to policies targeting bigger companies with controversial compensation scales.
I'm generally skeptical when people point to automation as the cause of the rapid decline of our manufacturing sector. That has become a common refrain for those who support the bad trade agreements we have entered into since the early 1990s. However, automation's impact on the labor market has been disputed:
https://www.brookings.edu/blog/the-a...acturing-jobs/
The evidence suggests there is essentially no relationship between the change in manufacturing employment and robot use. Despite the installation of far more robots between 1993 and 2007, Germany lost just 19 percent of its manufacturing jobs between 1996 and 2012 compared to a 33 percent drop in the United States.
More likely, trade agreements allowing competition from cheap labor/low regulation countries has had the greater impact. For one example, the U.S. trade deficit with Mexico has risen from $2 billion in 1994, the year NAFTA was passed, to $60 billion in 2015. According to the Economic Policy Institute, NAFTA led to the net displacement of 682,900 jobs. Of these, 61% were relatively high paying manufacturing jobs (thank you, Wiki):
https://en.wikipedia.org/wiki/NAFTA%...tes_employment
Aside from that, let's just look at plain old common sense. If automation has rendered low skilled human labor obsolete in manufacturing, then why are U.S. manufacturers flocking to Mexico and China and pushing for the passage of TPP to open up other cheap labor markets? According to Coldwine, it is prohibitively expensive to ship things from overseas back to the U.S. So, if the manufacturing process is automated anyway, then why don't we just make our manufactured goods here with robots and save the shipping costs? As an added bonus, the technological jobs needed to maintain automated factories could be kept here.
11-04-2016, 07:28 PM
13,005 posts, read
18,903,092 times
Reputation: 9252
Minimum wage workers need the money so they can pay the upcoming beverage tax. Don't low income workers drink more soda?
11-04-2016, 08:45 PM
Location: Chicago
937 posts, read
927,223 times
Reputation: 531
Quote:
Originally Posted by
BRU67
I'm generally skeptical when people point to automation as the cause of the rapid decline of our manufacturing sector. That has become a common refrain for those who support the bad trade agreements we have entered into since the early 1990s. However, automation's impact on the labor market has been disputed:
https://www.brookings.edu/blog/the-a...acturing-jobs/
The evidence suggests there is essentially no relationship between the change in manufacturing employment and robot use. Despite the installation of far more robots between 1993 and 2007, Germany lost just 19 percent of its manufacturing jobs between 1996 and 2012 compared to a 33 percent drop in the United States.
More likely, trade agreements allowing competition from cheap labor/low regulation countries has had the greater impact. For one example, the U.S. trade deficit with Mexico has risen from $2 billion in 1994, the year NAFTA was passed, to $60 billion in 2015. According to the Economic Policy Institute, NAFTA led to the net displacement of 682,900 jobs. Of these, 61% were relatively high paying manufacturing jobs (thank you, Wiki):
https://en.wikipedia.org/wiki/NAFTA%...tes_employment
Aside from that, let's just look at plain old common sense. If automation has rendered low skilled human labor obsolete in manufacturing, then why are U.S. manufacturers flocking to Mexico and China and pushing for the passage of TPP to open up other cheap labor markets? According to Coldwine, it is prohibitively expensive to ship things from overseas back to the U.S. So, if the manufacturing process is automated anyway, then why don't we just make our manufactured goods here with robots and save the shipping costs? As an added bonus, the technological jobs needed to maintain automated factories could be kept here.
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Educational Attainment - No schooling completed (%)
Educational Attainment - Less than high school (%)
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School Enrollment - Nursery, preschool (%)
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School Enrollment - College undergrad (%)
School Enrollment - Graduate or professional (%)
School Enrollment - Not enrolled in school (%)
School enrollment - Public schools (%)
School enrollment - Private schools (%)
School enrollment - Not enrolled (%)
Median number of rooms in houses and condos
Median number of rooms in apartments
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 (%)
Population in households (%)
Family households (%)
Nonfamily households (%)
Population in families (%)
Family households with own children (%)
Median number of bedrooms in owner occupied houses
Mean number of bedrooms in owner occupied houses
Median number of bedrooms in renter occupied houses
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Median number of vehichles in owner occupied houses
Mean number of vehichles in owner occupied houses
Median number of vehichles in renter occupied houses
Mean number of vehichles in renter occupied houses
Mortgage status - with mortgage (%)
Mortgage status - with second mortgage (%)
Mortgage status - with home equity loan (%)
Mortgage status - with both second mortgage and home equity loan (%)
Mortgage status - without a mortgage (%)
Average family size
Average family size - White
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 (%)
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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 (%)
Year householder moved into unit - Moved in 1970 to 1979 (%)
Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
Means of transportation to work - Public transportation (%)
Means of transportation to work - Bus or trolley bus (%)
Means of transportation to work - Streetcar or trolley car (%)
Means of transportation to work - Subway or elevated (%)
Means of transportation to work - Railroad (%)
Means of transportation to work - Ferryboat (%)
Means of transportation to work - Taxicab (%)
Means of transportation to work - Motorcycle (%)
Means of transportation to work - Bicycle (%)
Means of transportation to work - Walked (%)
Means of transportation to work - Other means (%)
Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
Most Common Industries - Agriculture, forestry, fishing and hunting (%)
Most Common Industries - Mining, quarrying, and oil and gas extraction (%)
Most Common Industries - Construction (%)
Most Common Industries - Manufacturing (%)
Most Common Industries - Wholesale trade (%)
Most Common Industries - Retail trade (%)
Most Common Industries - Transportation and warehousing, and utilities (%)
Most Common Industries - Transportation and warehousing (%)
Most Common Industries - Utilities (%)
Most Common Industries - Information (%)
Most Common Industries - Finance and insurance, and real estate and rental and leasing (%)
Most Common Industries - Finance and insurance (%)
Most Common Industries - Real estate and rental and leasing (%)
Most Common Industries - Professional, scientific, and management, and administrative and waste management services (%)
Most Common Industries - Professional, scientific, and technical services (%)
Most Common Industries - Management of companies and enterprises (%)
Most Common Industries - Administrative and support and waste management services (%)
Most Common Industries - Educational services, and health care and social assistance (%)
Most Common Industries - Educational services (%)
Most Common Industries - Health care and social assistance (%)
Most Common Industries - Arts, entertainment, and recreation, and accommodation and food services (%)
Most Common Industries - Arts, entertainment, and recreation (%)
Most Common Industries - Accommodation and food services (%)
Most Common Industries - Other services, except public administration (%)
Most Common Industries - Public administration (%)
Occupation diversity
Most Common Occupations - Management, business, science, and arts occupations (%)
Most Common Occupations - Management, business, and financial occupations (%)
Most Common Occupations - Management occupations (%)
Most Common Occupations - Business and financial operations occupations (%)
Most Common Occupations - Computer, engineering, and science occupations (%)
Most Common Occupations - Computer and mathematical occupations (%)
Most Common Occupations - Architecture and engineering occupations (%)
Most Common Occupations - Life, physical, and social science occupations (%)
Most Common Occupations - Education, legal, community service, arts, and media occupations (%)
Most Common Occupations - Community and social service occupations (%)
Most Common Occupations - Legal occupations (%)
Most Common Occupations - Education, training, and library occupations (%)
Most Common Occupations - Arts, design, entertainment, sports, and media occupations (%)
Most Common Occupations - Healthcare practitioners and technical occupations (%)
Most Common Occupations - Health diagnosing and treating practitioners and other technical occupations (%)
Most Common Occupations - Health technologists and technicians (%)
Most Common Occupations - Service occupations (%)
Most Common Occupations - Healthcare support occupations (%)
Most Common Occupations - Protective service occupations (%)
Most Common Occupations - Fire fighting and prevention, and other protective service workers including supervisors (%)
Most Common Occupations - Law enforcement workers including supervisors (%)
Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
Most Common Occupations - Personal care and service occupations (%)
Most Common Occupations - Sales and office occupations (%)
Most Common Occupations - Sales and related occupations (%)
Most Common Occupations - Office and administrative support occupations (%)
Most Common Occupations - Natural resources, construction, and maintenance occupations (%)
Most Common Occupations - Farming, fishing, and forestry occupations (%)
Most Common Occupations - Construction and extraction occupations (%)
Most Common Occupations - Installation, maintenance, and repair occupations (%)
Most Common Occupations - Production, transportation, and material moving occupations (%)
Most Common Occupations - Production occupations (%)
Most Common Occupations - Transportation occupations (%)
Most Common Occupations - Material moving occupations (%)
People in Group quarters - Institutionalized population (%)
People in Group quarters - Correctional institutions (%)
People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
People in Group quarters - State prisons (%)
People in Group quarters - Other types of correctional institutions (%)
People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
People in Group quarters - Hospitals/wards and hospices for chronically ill (%)
People in Group quarters - Hospices or homes for chronically ill (%)
People in Group quarters - Military hospitals or wards for chronically ill (%)
People in Group quarters - Other hospitals or wards for chronically ill (%)
People in Group quarters - Hospitals or wards for drug/alcohol abuse (%)
People in Group quarters - Mental (Psychiatric) hospitals or wards (%)
People in Group quarters - Schools, hospitals, or wards for the mentally retarded (%)
People in Group quarters - Schools, hospitals, or wards for the physically handicapped (%)
People in Group quarters - Institutions for the deaf (%)
People in Group quarters - Institutions for the blind (%)
People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
People in Group quarters - Wards in general hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Wards in military hospitals for patients who have no usual home elsewhere (%)
People in Group quarters - Juvenile institutions (%)
People in Group quarters - Long-term care (%)
People in Group quarters - Homes for abused, dependent, and neglected children (%)
People in Group quarters - Residential treatment centers for emotionally disturbed children (%)
People in Group quarters - Training schools for juvenile delinquents (%)
People in Group quarters - Short-term care, detention or diagnostic centers for delinquent children (%)
People in Group quarters - Type of juvenile institution unknown (%)
People in Group quarters - Noninstitutionalized population (%)
People in Group quarters - College dormitories (includes college quarters off campus) (%)
People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
People in Group quarters - Group homes (%)
People in Group quarters - Homes or halfway houses for drug/alcohol abuse (%)
People in Group quarters - Homes for the mentally ill (%)
People in Group quarters - Homes for the mentally retarded (%)
People in Group quarters - Homes for the physically handicapped (%)
People in Group quarters - Other group homes (%)
People in Group quarters - Religious group quarters (%)
People in Group quarters - Dormitories (%)
People in Group quarters - Agriculture workers' dormitories on farms (%)
People in Group quarters - Job Corps and vocational training facilities (%)
People in Group quarters - Other workers' dormitories (%)
People in Group quarters - Crews of maritime vessels (%)
People in Group quarters - Other nonhousehold living situations (%)
People in Group quarters - Other noninstitutional group quarters (%)
Residents speaking English at home (%)
Residents speaking English at home - Born in the United States (%)
Residents speaking English at home - Native, born elsewhere (%)
Residents speaking English at home - Foreign born (%)
Residents speaking Spanish at home (%)
Residents speaking Spanish at home - Born in the United States (%)
Residents speaking Spanish at home - Native, born elsewhere (%)
Residents speaking Spanish at home - Foreign born (%)
Residents speaking other language at home (%)
Residents speaking other language at home - Born in the United States (%)
Residents speaking other language at home - Native, born elsewhere (%)
Residents speaking other language at home - Foreign born (%)
Class of Workers - Employee of private company (%)
Class of Workers - Self-employed in own incorporated business (%)
Class of Workers - Private not-for-profit wage and salary workers (%)
Class of Workers - Local government workers (%)
Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)