View Poll Results: Who wins the 6th?
Karen Handel
26
40.00%
Jon Ossoff
39
60.00%
06-19-2017, 04:08 PM
Location: Atlanta metro (Cobb County)
3,149 posts, read
2,203,899 times
Reputation: 4189
Quote:
Originally Posted by
fourthwarden
But Hillary won the majority vote, and won the three counties that make up the GA-6th.
Only parts of Fulton, Cobb, and DeKalb counties are in the 6th district, and each of these portions are more Republican than the counties as a whole.
I think Democrats in the district (I'm just a few miles outside in the 11th) are going to be disappointed tomorrow. With higher turnout, results are more predictably reflective of the default partisanship of the district - which is Republican, as was drawn intentionally by Georgia's majority Republican legislature following the 2010 census. Handel comes across as a fairly standard Republican politician, so she isn't likely to lose many votes of those who specifically don't care for the president but otherwise support the party.
06-19-2017, 04:44 PM
10,392 posts, read
11,478,434 times
Reputation: 7819
"FINALLY, 6th District Voters Head To The Polls" (Political Rewind/Georgia Public Broadcasting radio)
FINALLY, 6th District Voters Head To The Polls | Georgia Public Broadcasting
Quote:
Today on “Political Rewind,” the hotly-contested 6th District race is almost upon us! Voters (who haven’t already early voted!) go to the polls tomorrow to make the choice between Karen Handel and Jon Ossoff. If you enjoy reading the political fine print as much as we do, you might want to check out this page from Politico.
Money, money, money: this race, with a total estimated price tag of $50 million dollars, is the most expensive Congressional race the country has ever seen. But money isn't the most jaw-dropping aspect of this campaign thanks to an incendiary new commercial that’s raising hackles on both sides of the aisle. The spot, paid for with PAC money, refers to the "unhinged left" and ties the Scalise shooting to the Democratic Party. Both campaigns have denounced the messaging in the ad.
Despite all the attention on tomorrow's election, we can't ignore the constant flow of news coming out of the Trump White House. Is Trump under investigation by Robert Mueller or not? Statements and tweets conflict.
Panelists:
Jim Galloway — Political Columnist, The Atlanta Journal-Constitution
Greg Bluestein — Political Writer, The Atlanta Journal-Constitution
Brian Robinson — Republican Consultant
Mary Margaret Oliver — Democratic State Representative, Decatur
Rusty Paul — Mayor, Sandy Springs
06-19-2017, 05:35 PM
16,175 posts, read
32,478,600 times
Reputation: 20577
This race was featured on ABC World News Tonight with David Muir this evening.
06-19-2017, 09:08 PM
5,633 posts, read
5,354,689 times
Reputation: 3855
The best thing about the voting being tomorrow is that we can stop hearing all the incessant ads for "Jon Ossoff the LIBERAL DEMOCRAT WHO WILL RUBBER STAMP PELOSI'S LIBERAL AGENDDAAAAAAAAAAAA!!!" and "Karen Handle bought office chairs on your dime!"
06-19-2017, 09:08 PM
454 posts, read
820,917 times
Reputation: 323
I am in Brookhaven both me and my wife voted early for Ossoff. At a party this weekend on my street a lot of people were saying they had voted early for Ossoff. Looking at my street the Handel signs are mainly outside older residents homes. Handel is not popular with educated women IMHO. I think it will be a pretty close vote.
06-19-2017, 09:21 PM
10,392 posts, read
11,478,434 times
Reputation: 7819
Quote:
Originally Posted by
samiwas1
The best thing about the voting being tomorrow is that we can stop hearing all the incessant ads for "Jon Ossoff the LIBERAL DEMOCRAT WHO WILL RUBBER STAMP PELOSI'S LIBERAL AGENDDAAAAAAAAAAAA!!!" and "Karen Handle bought office chairs on your dime!"
...But the bad thing is that those incessant ads will more than likely be back with a vengeance just next year for the mid-term congressional and statewide/gubernatorial elections.
Those incessant ads will especially be back next year if Ossoff wins or suffers a very narrow defeat.
An Ossoff win or even a very narrow Ossoff defeat will signal (particularly to Democratic and Progressive political interest groups) that Georgia has trended even closer to joining neighboring and nearby states like Florida, North Carolina and Virginia in the category of Southeastern battleground states that can swing either way in elections with national politically strategic implications.
06-19-2017, 09:50 PM
10,392 posts, read
11,478,434 times
Reputation: 7819
"Georgia special election tweets traced to one source...
A Trump-supporting social media guru is flooding Twitter with grass roots-appearing messages against Democrat Jon Ossoff." (POLITICO Magazine)
Georgia special election tweets traced to one source - POLITICO
From the article in the link:
Quote:
With Georgia’s special House election going down to the wire, it’s no shock that Twitter is saturated with Democrat Jon Ossoff and Republican Karen Handel. But what is surprising is just how much of the traffic traces to a single, identifiable source.
Accounts related to one entrepreneurial Donald Trump supporter, Robert Shelton, aka @RobertsRooms, have flooded hashtags about the 6th Congressional District election with anti-Ossoff and pro-Handel messaging.
“DON'T VOTE FOR #NEVEROSSOFF,” one wrote early Friday morning. “HIS BIG MONEY DONORS OWN HIM.”
“Inexperienced? Immature? That's #Ossoff. Vote 4 #KarenHandel,” tweeted another on Thursday evening.
“Who would Alexandria shooter James Hodgkinson vote for in Georgia 6th District?” asked a third in text superimposed on the alleged gunman’s mugshot. “#Ossoff of course! #GA06 do you really want to vote 4 more Democrat insanity?”
Oddly, each account also tagged tweets with a seemingly unrelated hashtag: #RobertsRooms. These accounts used #RobertsRooms at least 20 times since Thursday in posts about the Ossoff-Handel race.
This hashtag is peppered throughout Twitter chatter about the special election, and especially screeds against Ossoff. Twitter’s search algorithm even correlates #RobertsRooms with campaign hashtags.
At a time when more and more political campaigning is shifting to social media — and voters may be likelier to respond to an authentic-seeming tweet than a slick TV ad — such a distinct calling card offers a rare opportunity to trace the impact of a single player in the online influence game.
Like many social media operatives, Shelton doesn’t broadcast his offline identity. But the bio for @RobertsRooms indicates that the account’s owner is CEO of PlanetStuff Inc. Records filed with the Georgia state government show a business by that name registered to Robert Shelton, with an address in the wooded suburbs northeast of Atlanta.
A now-defunct Twitter account under the name “Robert Shelton,” which posted as recently as February, now redirects to @RobertsRooms.
Shelton, via Twitter, confirmed his network is working to promote Handel, but he said it is a strictly personal project. He did not respond to questions about whether, or how much, he paid Twitter users to put out his messages.
“The only affiliation we or I have with Karen's campaign is that I live in District 06 and prefer her to Jon,” Shelton wrote. The Handel campaign emphasized they have no ties.
“We have not contracted with Robert, and he has no affiliation with this campaign," said Kate Constantini, campaign spokeswoman for Handel.
Shelton said he has worked for other campaigns since the 2016 presidential election, including the New York City mayoral campaign of Michel Faulkner, who pivoted to run for NYC Comptroller in late May.
Shelton pitches his social media marketing to “America 1st” political candidates. In one promo, he boasts of having “Social Media WARRIORS In EVERY TOWN Across EVERY STATE” with a network of 5 million Twitter followers, and lists “in-house meme creation” among his services. One post indicates that he pays “retweeters.”
06-20-2017, 12:02 AM
Location: Atlanta
9,818 posts, read
7,917,960 times
Reputation: 9986
Quote:
Originally Posted by
tom77falcons
Republican wins easily in that red state. Montana went the same way for Zinke's old seat.
Dems get all excited, but one visit down south talking to people and you realize they will never change. She wins no problem.
And you know any of this how, Tom?
With the exception of a jetBlue flight to Ft. Lauderdale, have you
ever been SOUTH of Philadelphia?
06-20-2017, 03:59 AM
Location: Seattle, WA
9,830 posts, read
7,253,200 times
Reputation: 7790
Quote:
Originally Posted by
tom77falcons
Dems get all excited, but one visit down south talking to people and you realize they will never change.
4.5 million people in California voted for Trump, 3 million in Pennsylvania, 2.8 million in Ohio, 2.8 million in New York, 2.2 million in Michigan, 2.1 million in Illinois, and only 2 million Trump voters in Georgia. And half that much in the other southern states. If you wanted to talk to some morons, you wasted a plane ticket.
It's funny because personally all my cousins up north, mostly in Minnesota, are all super conservatives, and all my large extended family here in Georgia are all liberal.
If somebody up north actually took a visit here and actually bothered to talk to any of the 50% or more of us who are not Republicans, they'd realize the ignorance of statements like yours.
06-20-2017, 04:26 AM
Location: Florida
12,074 posts, read
10,699,341 times
Reputation: 8798
Quote:
Originally Posted by
gold15
Wow.
Yes, "wow," but many of those folks believe it. The refusal to acknowledge the reality that other people suffer is not just incidental but the result of deliberate crafting of the narrative by those who oppose anti-discrimination and who would prefer to regress to a system where certain privileges, whether it be race, religion, ethnicity, or simply wealth, benefit from institutionalized injustice.
Quote:
Originally Posted by
Born 2 Roll
Those incessant ads will especially be back next year if Ossoff wins or suffers a very narrow defeat.
Probably: no matter what. One of the biggest of the underlying reasons for the right-wing's dogged opposition and obstruction of everything that the previous administration tried to do was because its strategists understood that if once people have a taste of how more justice in society benefits them or someone they know, it is going to take extreme measures to achieve the regression desired and maintain it for the long term. Electioneering is just the tip of the iceberg in that regard. To shake people away from acknowledging and processing the reality that supporting regression favored by the right will likely adversely affect people the voter knows, it is necessary to drown out that reality through whatever means necessary.
Even now we see the mathematics in play: How many people who will lose the benefits that they enjoy due to the ACA changes, including coverage for previous conditions, can be convinced that losing what they now have won't hurt that badly, or can be convinced that despite the non-partisan analysis showing what they'll lose they will somehow be exempt from the loss? No one is going into these elections thinking, "Wow I'm taking advantage of these changes made by the previous administration but I'd be happier being deprived of these things I have come to expect." The only way to overcome the downside of the reality that you're aiming for regression is to beat the drum more and more and louder and louder trying to drown out that which would inform voters of what a vote for regression really means.
In a previous generation, it was the left with the message that couldn't be justified. We've all seen the graphs showing income inequality's shocking trend. Before the 1980s top 10% of earner garnered roughly 35% of total US income. With the remaining 65% distributed among the rest, it was easy to craft a true and compelling narrative supporting the right's aims, which outlined for a good majority of Americans
why they would benefit . The left had to "beat the drum more and more and louder and louder trying to drown out that which would inform voters of what a vote for" liberalism really meant. For most people back then it meant relatively bad news: For most people back then, liberalism meant taking a financial hit in the interest of
ideals . So the left had to cajole folks into supporting perspectives that worked against their own personal interests, touting ideals over personal gain.
No longer. The success of the right over the last thirty five years has led to where we are now where the reality no longer supports the right's intentions. With the advantages of regression directed overwhelmingly toward a small and still shrinking number of Americans, the left's challenge now is to inform, and it is the right that now needs to obfuscate, deceive, and otherwise drown out the truth in order to retain sufficient support. As the number of Americans who benefit from the regressive policies of the right get even smaller, we can expect even more and more of the "incessant ads" you refer to and all the related extreme electioneering (political sign stealing/burning, for example) that we've seen in this recent election.
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Data:
Median household income ($)
Median household income (% change since 2000)
Household income diversity
Ratio of average income to average house value (%)
Ratio of average income to average rent
Median household income ($) - White
Median household income ($) - Black or African American
Median household income ($) - Asian
Median household income ($) - Hispanic or Latino
Median household income ($) - American Indian and Alaska Native
Median household income ($) - Multirace
Median household income ($) - Other Race
Median household income for houses/condos with a mortgage ($)
Median household income for apartments without a mortgage ($)
Races - White alone (%)
Races - White alone (% change since 2000)
Races - Black alone (%)
Races - Black alone (% change since 2000)
Races - American Indian alone (%)
Races - American Indian alone (% change since 2000)
Races - Asian alone (%)
Races - Asian alone (% change since 2000)
Races - Hispanic (%)
Races - Hispanic (% change since 2000)
Races - Native Hawaiian and Other Pacific Islander alone (%)
Races - Native Hawaiian and Other Pacific Islander alone (% change since 2000)
Races - Two or more races (%)
Races - Two or more races (% change since 2000)
Races - Other race alone (%)
Races - Other race alone (% change since 2000)
Racial diversity
Unemployment (%)
Unemployment (% change since 2000)
Unemployment (%) - White
Unemployment (%) - Black or African American
Unemployment (%) - Asian
Unemployment (%) - Hispanic or Latino
Unemployment (%) - American Indian and Alaska Native
Unemployment (%) - Multirace
Unemployment (%) - Other Race
Population density (people per square mile)
Population - Males (%)
Population - Females (%)
Population - Males (%) - White
Population - Males (%) - Black or African American
Population - Males (%) - Asian
Population - Males (%) - Hispanic or Latino
Population - Males (%) - American Indian and Alaska Native
Population - Males (%) - Multirace
Population - Males (%) - Other Race
Population - Females (%) - White
Population - Females (%) - Black or African American
Population - Females (%) - Asian
Population - Females (%) - Hispanic or Latino
Population - Females (%) - American Indian and Alaska Native
Population - Females (%) - Multirace
Population - Females (%) - Other Race
Coronavirus confirmed cases (Apr 18, 2024)
Deaths caused by coronavirus (Apr 18, 2024)
Coronavirus confirmed cases (per 100k population) (Apr 18, 2024)
Deaths caused by coronavirus (per 100k population) (Apr 18, 2024)
Daily increase in number of cases (Apr 18, 2024)
Weekly increase in number of cases (Apr 18, 2024)
Cases doubled (in days) (Apr 18, 2024)
Hospitalized patients (Apr 18, 2022)
Negative test results (Apr 18, 2022)
Total test results (Apr 18, 2022)
COVID Vaccine doses distributed (per 100k population) (Sep 19, 2023)
COVID Vaccine doses administered (per 100k population) (Sep 19, 2023)
COVID Vaccine doses distributed (Sep 19, 2023)
COVID Vaccine doses administered (Sep 19, 2023)
Likely homosexual households (%)
Likely homosexual households (% change since 2000)
Likely homosexual households - Lesbian couples (%)
Likely homosexual households - Lesbian couples (% change since 2000)
Likely homosexual households - Gay men (%)
Likely homosexual households - Gay men (% change since 2000)
Cost of living index
Median gross rent ($)
Median contract rent ($)
Median monthly housing costs ($)
Median house or condo value ($)
Median house or condo value ($ change since 2000)
Mean house or condo value by units in structure - 1, detached ($)
Mean house or condo value by units in structure - 1, attached ($)
Mean house or condo value by units in structure - 2 ($)
Mean house or condo value by units in structure by units in structure - 3 or 4 ($)
Mean house or condo value by units in structure - 5 or more ($)
Mean house or condo value by units in structure - Boat, RV, van, etc. ($)
Mean house or condo value by units in structure - Mobile home ($)
Median house or condo value ($) - White
Median house or condo value ($) - Black or African American
Median house or condo value ($) - Asian
Median house or condo value ($) - Hispanic or Latino
Median house or condo value ($) - American Indian and Alaska Native
Median house or condo value ($) - Multirace
Median house or condo value ($) - Other Race
Median resident age
Resident age diversity
Median resident age - Males
Median resident age - Females
Median resident age - White
Median resident age - Black or African American
Median resident age - Asian
Median resident age - Hispanic or Latino
Median resident age - American Indian and Alaska Native
Median resident age - Multirace
Median resident age - Other Race
Median resident age - Males - White
Median resident age - Males - Black or African American
Median resident age - Males - Asian
Median resident age - Males - Hispanic or Latino
Median resident age - Males - American Indian and Alaska Native
Median resident age - Males - Multirace
Median resident age - Males - Other Race
Median resident age - Females - White
Median resident age - Females - Black or African American
Median resident age - Females - Asian
Median resident age - Females - Hispanic or Latino
Median resident age - Females - American Indian and Alaska Native
Median resident age - Females - Multirace
Median resident age - Females - Other Race
Commute - mean travel time to work (minutes)
Travel time to work - Less than 5 minutes (%)
Travel time to work - Less than 5 minutes (% change since 2000)
Travel time to work - 5 to 9 minutes (%)
Travel time to work - 5 to 9 minutes (% change since 2000)
Travel time to work - 10 to 19 minutes (%)
Travel time to work - 10 to 19 minutes (% change since 2000)
Travel time to work - 20 to 29 minutes (%)
Travel time to work - 20 to 29 minutes (% change since 2000)
Travel time to work - 30 to 39 minutes (%)
Travel time to work - 30 to 39 minutes (% change since 2000)
Travel time to work - 40 to 59 minutes (%)
Travel time to work - 40 to 59 minutes (% change since 2000)
Travel time to work - 60 to 89 minutes (%)
Travel time to work - 60 to 89 minutes (% change since 2000)
Travel time to work - 90 or more minutes (%)
Travel time to work - 90 or more minutes (% change since 2000)
Marital status - Never married (%)
Marital status - Now married (%)
Marital status - Separated (%)
Marital status - Widowed (%)
Marital status - Divorced (%)
Median family income ($)
Median family income (% change since 2000)
Median non-family income ($)
Median non-family income (% change since 2000)
Median per capita income ($)
Median per capita income (% change since 2000)
Median family income ($) - White
Median family income ($) - Black or African American
Median family income ($) - Asian
Median family income ($) - Hispanic or Latino
Median family income ($) - American Indian and Alaska Native
Median family income ($) - Multirace
Median family income ($) - Other Race
Median year house/condo built
Median year apartment built
Year house built - Built 2005 or later (%)
Year house built - Built 2000 to 2004 (%)
Year house built - Built 1990 to 1999 (%)
Year house built - Built 1980 to 1989 (%)
Year house built - Built 1970 to 1979 (%)
Year house built - Built 1960 to 1969 (%)
Year house built - Built 1950 to 1959 (%)
Year house built - Built 1940 to 1949 (%)
Year house built - Built 1939 or earlier (%)
Average household size
Household density (households per square mile)
Average household size - White
Average household size - Black or African American
Average household size - Asian
Average household size - Hispanic or Latino
Average household size - American Indian and Alaska Native
Average household size - Multirace
Average household size - Other Race
Occupied housing units (%)
Vacant housing units (%)
Owner occupied housing units (%)
Renter occupied housing units (%)
Vacancy status - For rent (%)
Vacancy status - For sale only (%)
Vacancy status - Rented or sold, not occupied (%)
Vacancy status - For seasonal, recreational, or occasional use (%)
Vacancy status - For migrant workers (%)
Vacancy status - Other vacant (%)
Residents with income below the poverty level (%)
Residents with income below 50% of the poverty level (%)
Children below poverty level (%)
Poor families by family type - Married-couple family (%)
Poor families by family type - Male, no wife present (%)
Poor families by family type - Female, no husband present (%)
Poverty status for native-born residents (%)
Poverty status for foreign-born residents (%)
Poverty among high school graduates not in families (%)
Poverty among people who did not graduate high school not in families (%)
Residents with income below the poverty level (%) - White
Residents with income below the poverty level (%) - Black or African American
Residents with income below the poverty level (%) - Asian
Residents with income below the poverty level (%) - Hispanic or Latino
Residents with income below the poverty level (%) - American Indian and Alaska Native
Residents with income below the poverty level (%) - Multirace
Residents with income below the poverty level (%) - Other Race
Air pollution - Air Quality Index (AQI)
Air pollution - CO
Air pollution - NO2
Air pollution - SO2
Air pollution - Ozone
Air pollution - PM10
Air pollution - PM25
Air pollution - Pb
Crime - Murders per 100,000 population
Crime - Rapes per 100,000 population
Crime - Robberies per 100,000 population
Crime - Assaults per 100,000 population
Crime - Burglaries per 100,000 population
Crime - Thefts per 100,000 population
Crime - Auto thefts per 100,000 population
Crime - Arson per 100,000 population
Crime - City-data.com crime index
Crime - Violent crime index
Crime - Property crime index
Crime - Murders per 100,000 population (5 year average)
Crime - Rapes per 100,000 population (5 year average)
Crime - Robberies per 100,000 population (5 year average)
Crime - Assaults per 100,000 population (5 year average)
Crime - Burglaries per 100,000 population (5 year average)
Crime - Thefts per 100,000 population (5 year average)
Crime - Auto thefts per 100,000 population (5 year average)
Crime - Arson per 100,000 population (5 year average)
Crime - City-data.com crime index (5 year average)
Crime - Violent crime index (5 year average)
Crime - Property crime index (5 year average)
1996 Presidential Elections Results (%) - Democratic Party (Clinton)
1996 Presidential Elections Results (%) - Republican Party (Dole)
1996 Presidential Elections Results (%) - Other
2000 Presidential Elections Results (%) - Democratic Party (Gore)
2000 Presidential Elections Results (%) - Republican Party (Bush)
2000 Presidential Elections Results (%) - Other
2004 Presidential Elections Results (%) - Democratic Party (Kerry)
2004 Presidential Elections Results (%) - Republican Party (Bush)
2004 Presidential Elections Results (%) - Other
2008 Presidential Elections Results (%) - Democratic Party (Obama)
2008 Presidential Elections Results (%) - Republican Party (McCain)
2008 Presidential Elections Results (%) - Other
2012 Presidential Elections Results (%) - Democratic Party (Obama)
2012 Presidential Elections Results (%) - Republican Party (Romney)
2012 Presidential Elections Results (%) - Other
2016 Presidential Elections Results (%) - Democratic Party (Clinton)
2016 Presidential Elections Results (%) - Republican Party (Trump)
2016 Presidential Elections Results (%) - Other
2020 Presidential Elections Results (%) - Democratic Party (Biden)
2020 Presidential Elections Results (%) - Republican Party (Trump)
2020 Presidential Elections Results (%) - Other
Ancestries Reported - Arab (%)
Ancestries Reported - Czech (%)
Ancestries Reported - Danish (%)
Ancestries Reported - Dutch (%)
Ancestries Reported - English (%)
Ancestries Reported - French (%)
Ancestries Reported - French Canadian (%)
Ancestries Reported - German (%)
Ancestries Reported - Greek (%)
Ancestries Reported - Hungarian (%)
Ancestries Reported - Irish (%)
Ancestries Reported - Italian (%)
Ancestries Reported - Lithuanian (%)
Ancestries Reported - Norwegian (%)
Ancestries Reported - Polish (%)
Ancestries Reported - Portuguese (%)
Ancestries Reported - Russian (%)
Ancestries Reported - Scotch-Irish (%)
Ancestries Reported - Scottish (%)
Ancestries Reported - Slovak (%)
Ancestries Reported - Subsaharan African (%)
Ancestries Reported - Swedish (%)
Ancestries Reported - Swiss (%)
Ancestries Reported - Ukrainian (%)
Ancestries Reported - United States (%)
Ancestries Reported - Welsh (%)
Ancestries Reported - West Indian (%)
Ancestries Reported - Other (%)
Educational Attainment - No schooling completed (%)
Educational Attainment - Less than high school (%)
Educational Attainment - High school or equivalent (%)
Educational Attainment - Less than 1 year of college (%)
Educational Attainment - 1 or more years of college (%)
Educational Attainment - Associate degree (%)
Educational Attainment - Bachelor's degree (%)
Educational Attainment - Master's degree (%)
Educational Attainment - Professional school degree (%)
Educational Attainment - Doctorate degree (%)
School Enrollment - Nursery, preschool (%)
School Enrollment - Kindergarten (%)
School Enrollment - Grade 1 to 4 (%)
School Enrollment - Grade 5 to 8 (%)
School Enrollment - Grade 9 to 12 (%)
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
Mean number of bedrooms in renter occupied houses
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
Average family size - Multirace
Average family size - Other Race
Geographical mobility - Same house 1 year ago (%)
Geographical mobility - Moved within same county (%)
Geographical mobility - Moved from different county within same state (%)
Geographical mobility - Moved from different state (%)
Geographical mobility - Moved from abroad (%)
Place of birth - Born in state of residence (%)
Place of birth - Born in other state (%)
Place of birth - Native, outside of US (%)
Place of birth - Foreign born (%)
Housing units in structures - 1, detached (%)
Housing units in structures - 1, attached (%)
Housing units in structures - 2 (%)
Housing units in structures - 3 or 4 (%)
Housing units in structures - 5 to 9 (%)
Housing units in structures - 10 to 19 (%)
Housing units in structures - 20 to 49 (%)
Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
Renter moved in on average (years ago)
Year householder moved into unit - Moved in 1999 to March 2000 (%)
Year householder moved into unit - Moved in 1995 to 1998 (%)
Year householder moved into unit - Moved in 1990 to 1994 (%)
Year householder moved into unit - Moved in 1980 to 1989 (%)
Year householder moved into unit - Moved in 1970 to 1979 (%)
Year householder moved into unit - Moved in 1969 or earlier (%)
Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
Means of transportation to work - Public transportation (%)
Means of transportation to work - Bus or trolley bus (%)
Means of transportation to work - Streetcar or trolley car (%)
Means of transportation to work - Subway or elevated (%)
Means of transportation to work - Railroad (%)
Means of transportation to work - Ferryboat (%)
Means of transportation to work - Taxicab (%)
Means of transportation to work - Motorcycle (%)
Means of transportation to work - Bicycle (%)
Means of transportation to work - Walked (%)
Means of transportation to work - Other means (%)
Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
Most Common Industries - Agriculture, forestry, fishing and hunting (%)
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 (%)