12-22-2020, 06:38 PM
Location: Baltimore
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Quote:
Originally Posted by
btownboss4
With that moderate Immigration completely evaporating for 4 months that sunk Massachusetts (in March Trump Totally suspended new visa’s.) plus you’re talking ~7,500-8000 excess deaths as of July 1st. Plus the youngins moving back home to NH which wil come back most likely in 2021 or 2022.
25k might be high but this number probably fortells strongish growth in the mid 2020’s if Immigration restriction ease to Obama levels.
Massachusetts certainly isn’t in the same boat as New York (although when Immigration kicks back into gear it will slow its hemmoraging or Illinois (which maybe Climate Change will save, eventually)
I definitely agree with this. Massachusetts has sustained its immigration better than just about any state throughout the Trump administration. Under Biden it’s going to be very strong if things get back in track. However, I’m confident MA will see continued growth in outward domestic migration. The difference is in Massachusetts it probably more a fleeing middle class than an upper (middle) class like in CT.
12-22-2020, 06:43 PM
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Quote:
Originally Posted by
BostonBornMassMade
Taxation is a large part of it. But the lack of building certainly hasn’t eased the wealth inequality and other racial gaps that they have. In term they have to fund the dysfunction and lower classes perpetually with her and higher taxes as more and more of their population slips into the have nots. This has extended into MA and RI.
When you keep people from becoming middle class homeowner they eventually become a dreg and a tax burden. Evause they’re forced to live in lower income rental heavy areas and that remains they’re social network.
You cite the move away from expensive suburbs. Well when the city is expensive to people flee to cheaper suburbs. This is likely what the 30,000 people who moved out of MA between 2018 and 2019 did when they moved to Arizona..
CT and NJ are not particularly bad in terms of upward mobility and MA is actually one of the very best states under that lens. Northeastern migrants are moving to lower upward mobility areas in the South. There is negative correlation between net population flows and upward mobility.
The difference is that Northeastern states are deeply blue and try to provide more state welfare, which is clearly backfiring as long as there is inter-state arbitrage. The tri-state area will have a reckoning in the not-so distant future in my opinion.
https://www.businessinsider.com/inco...-map-us-2018-2
If given a chance people will flee high cost of living areas. If an area does not offer high-paying jobs it will be hard to retain that population. CT and NJ benefited from their proximity to NY but as younger people optimized for a shorter commute, they have fallen out of favor.
Last edited by maclel; 12-22-2020 at 06:52 PM ..
12-22-2020, 08:15 PM
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Quote:
Originally Posted by
maclel
CT and NJ are not particularly bad in terms of upward mobility and MA is actually one of the very best states under that lens. Northeastern migrants are moving to lower upward mobility areas in the South. There is negative correlation between net population flows and upward mobility.
The difference is that Northeastern states are deeply blue and try to provide more state welfare, which is clearly backfiring as long as there is inter-state arbitrage. The tri-state area will have a reckoning in the not-so distant future in my opinion.
https://www.businessinsider.com/inco...-map-us-2018-2
If given a chance people will flee high cost of living areas. If an area does not offer high-paying jobs it will be hard to retain that population. CT and NJ benefited from their proximity to NY but as younger people optimized for a shorter commute, they have fallen out of favor.
Yes and no. Alaska has the oil dividend. They give a fair amount
https://en.wikipedia.org/wiki/Alaska_Permanent_Fund
Like you say the south isn't exactly upward mobility. A cheap place might be ok for living for a bit but it might not be wage growth. telecommutting changes some of this but still. There's a difference between say someone moving from Manhattan to Brooklyn (I know of a blogger that did this) and say SF to Idaho.
12-23-2020, 03:48 AM
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Quote:
Originally Posted by
BostonMike7
Stupid question perhaps, but that doesn’t take into consideration the 11k deaths from Covid (or other deaths)?
The majority of Massachusetts COVID-19 deaths have been in nursing homes. If you consider the median nursing home stay before death where 65% die in less than a year, most of those would have died in 2020 anyways. Of that 11k, I’d guess at least half would have died in 2020 of other causes.
On the population topic, Massachusetts has a lot of out of state college students who would be declaring residence in a normal year. I’d bet there were a ton of grad students who would normally take teaching assistant and research assistant jobs who opted out in 2020. Also, the service sector collapsed. I’d guess a number of younger workers doing the Boston experience bailed out when the $600/week expired. They’re in their parents basement in some other state collecting Massachusetts unemployment.
12-23-2020, 11:26 AM
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The other part of people that might not be counted is inmates. I know of a town manager that was asked a few times about why don't they just build a prison to get the population up. the trouble is then you have families that hike up to be closer to family that that isn't a good long term plan.
I'd argue that if students don't really have to go into class then yes they are potentially with their folks takin gclasses online.
12-23-2020, 11:26 AM
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I think population tracking will be the wrong statistic to track in the 21st century and we should focus on developed/built square footage per acre of state to really get a sense of economic projection. Let's go through a couple of examples.
1) Snowbirds/Desert Pigeons. More and more people are going to live in multiple places throughout the year thanks to work from home, flexibility etc. Climate Change will also increase this. People will want out of Phoenix in July just as much as Boston wants out in January.
2) Agricultural automation. Think about Iowa for a moment. It is the most developed state in the country. What you might say? Well there aren't big forests, wetlands, cities, etc, but much of the land has been impacted by humans and is used by humans. So while population has been decreasing there, the people left can do ok if they own the means of production and the land. Maine lumber would function the same way as Iowa corn, its just not as subsidize by Fed Govt from imports so not as much money for land owners and ability to keep people in state.
There's probably more here to investigate, but I think tracking how much square footage is being built in Massachusetts or land being used is more important than number of people here.
12-23-2020, 11:29 AM
Location: Baltimore
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Quote:
Originally Posted by
GeoffD
The majority of Massachusetts COVID-19 deaths have been in nursing homes. If you consider the median nursing home stay before death where 65% die in less than a year, most of those would have died in 2020 anyways. Of that 11k, I’d guess at least half would have died in 2020 of other causes.
On the population topic, Massachusetts has a lot of out of state college students who would be declaring residence in a normal year. I’d bet there were a ton of grad students who would normally take teaching assistant and research assistant jobs who opted out in 2020. Also, the service sector collapsed. I’d guess a number of younger workers doing the Boston experience bailed out when the $600/week expired. They’re in their parents basement in some other state collecting Massachusetts unemployment.
The thing is the census is normally taken in April when most college students were still around. But these yearly estimates are taken when college students would already be home, in July. As they are every year.
So college students don’t matter here
12-23-2020, 11:54 AM
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I’m not sure why so many immigrants come to Boston. Unless they are educated and will make a high salary they aren’t going to have a very good life here. Seems like immigrants are attracted to cities but they’d be just as well out by Worcester or Springfield. The cost of living in the Boston area is just so high.
I noticed people leaving Boston more often around 2014. People realized they could move to lower cost of living cities and still make a good salary. Plus a lot of people hate winter.
12-23-2020, 12:25 PM
Location: Baltimore
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Quote:
Originally Posted by
msRB311
I’m not sure why so many immigrants come to Boston. Unless they are educated and will make a high salary they aren’t going to have a very good life here. Seems like immigrants are attracted to cities but they’d be just as well out by Worcester or Springfield. The cost of living in the Boston area is just so high.
I noticed people leaving Boston more often around 2014. People realized they could move to lower cost of living cities and still make a good salary. Plus a lot of people hate winter.
Frankly it’s just more comfortable physically than any other city in the northeast (cleaner, more parks, better positioned) and it already has a ton is immigrants-to them, it’s worth it. And the city begs them to comet basically. They’ll tolerate tighter living conditions than domestic Americans. More or less the same price as NYC. Basically for every 10 immigrants that picks NYC maybe 1 chooses Boston. That makes total sense.
12-23-2020, 12:28 PM
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re
Quote:
Originally Posted by
BostonBornMassMade
Frankly it’s just more comfortable physically than any other city in the northeast (cleaner, more parks, better positioned) and it already has a ton is immigrants-to them, it’s worth it. And the city begs them to comet basically. They’ll tolerate tighter living conditions than domestic Americans. More or less the same price as NYC. Basically for every 9 immigrants that picks NYC maybe 1 chooses Boston. That makes total sense.
Sure, but how do they afford it? By shoving 10 working family members in one space?
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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)
Travel time to work - Less than 5 minutes (%)
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Travel time to work - 60 to 89 minutes (%)
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Occupied housing units (%)
Vacant housing units (%)
Owner occupied housing units (%)
Renter occupied housing units (%)
Vacancy status - For rent (%)
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Vacancy status - Rented or sold, not occupied (%)
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Residents with income below the poverty level (%)
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Poor families by family type - Married-couple family (%)
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Poverty status for native-born residents (%)
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Residents with income below the poverty level (%) - White
Residents with income below the poverty level (%) - Black or African American
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Residents with income below the poverty level (%) - Multirace
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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 (%)
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School enrollment - Not enrolled (%)
Median number of rooms in houses and condos
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Density of houses
Urban houses (%)
Rural houses (%)
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Households with people 65 years and over (%)
Households with people 75 years and over (%)
Households with one or more nonrelatives (%)
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Median number of bedrooms in owner 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
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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 (%)
Place of birth - Born in other state (%)
Place of birth - Native, outside of US (%)
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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 (%)
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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 (%)
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Occupation diversity
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Most Common Occupations - Healthcare support occupations (%)
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Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
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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 (%)