01-18-2010, 11:58 AM
Location: Somewhere in San Antonio
417 posts, read
982,404 times
Reputation: 269
A new supermarket opened in Hudson, Florida.
It has an automatic water mister to keep the
produce fresh. Just before it goes on,
you hear the distant sound of thunder and the
smell of fresh rain.
When you pass the milk cases, you hear cows mooing and you experience the scent of fresh cut hay.
In the meat department there is the aroma of
charcoal grilled steaks and brats.
In the liquor department, the fresh, clean, crisp
smell of tapped Miller Lite.
When you approach the egg case, you hear hens
cluck and cackle and the air is filled with the
pleasing aroma of bacon and eggs frying.
The bread department features the tantalizing
smell of fresh baked bread & cookies.
I don't buy toilet paper there anymore.
01-18-2010, 12:34 PM
Location: Tricity, PL
61,648 posts, read
87,001,838 times
Reputation: 131603
Our cat:
Our cat sleeps about 20 hours a day. He has his food prepared for him.
He can eat whenever he wants, 24/7/365. His meals are provided at no cost to him.
He visits the Dr. once a year for his checkup, and again during the year if any medical needs arise. For this he pays nothing, and nothing is required of him.
He lives in a nice neighborhood in a house that is much larger than he needs, but he is not required to do any upkeep. If he makes a mess, someone else cleans it up.
He has his choice of luxurious places to sleep. He receives these accommodations absolutely free.
He is living like a king, and has absolutely no expenses whatsoever.
All of his costs are picked up by others who go out and earn a living every day.
I was just thinking about all this, and suddenly it hit me like a brick in the head,
Holy COW, our cat is a Democrat!
01-18-2010, 12:59 PM
Location: Near downtown SA
113 posts, read
446,003 times
Reputation: 88
Quote:
Originally Posted by
elnina
Our cat:
Our cat sleeps about 20 hours a day. He has his food prepared for him.
He can eat whenever he wants, 24/7/365. His meals are provided at no cost to him.
He visits the Dr. once a year for his checkup, and again during the year if any medical needs arise. For this he pays nothing, and nothing is required of him.
He lives in a nice neighborhood in a house that is much larger than he needs, but he is not required to do any upkeep. If he makes a mess, someone else cleans it up.
He has his choice of luxurious places to sleep. He receives these accommodations absolutely free.
He is living like a king, and has absolutely no expenses whatsoever.
All of his costs are picked up by others who go out and earn a living every day.
I was just thinking about all this, and suddenly it hit me like a brick in the head,
Holy COW, our cat is a Democrat!
HAHAAahhaha.........too funny!!!!
01-18-2010, 09:50 PM
Location: Tricity, PL
61,648 posts, read
87,001,838 times
Reputation: 131603
Leaving Work Early
Three girls all worked in the same office with the same female boss.
Each day, they watched the boss leave work early. One day, the girls decided that, when the boss left, they would leave right behind her.
After all, she never called or came back to work, so how would she know they went home early?
The brunette was thrilled to be home early...she did a little gardening, spent playtime with her son, and went to bed early.
The redhead was elated to be able to get in a quick workout at the spa before meeting a dinner date.
The blonde was happy to get home early and surprise her husband, but when she got to her bedroom, she heard a muffled noise from inside.
Slowly and quietly, she cracked open the door and was mortified to see her husband in bed with her boss!
Gently she closed the door and crept out of the house.
The next day, at their coffee break, the brunette and redhead planned to leave early again, and they asked the blonde if she was going to go with them.
“No way!” the blonde exclaimed. "I almost got caught yesterday!"
01-19-2010, 11:35 PM
Location: Oklahoma(formerly SoCalif) Originally Mich,
13,387 posts, read
19,421,922 times
Reputation: 4611
Ole and Sven were fishing in the Minnesota opener when Sven pulled out a cigar.
Finding he had no matches, he asked Ole for a light.
'Ya, shure, I tink I haff a lighter,' he replied, and then, reaching into his tackle box, he pulled out a Bic lighter 10 inches long.
'Yiminy Cricket!' exclaimed Sven, taking the huge Bic lighter in his hands. 'Vere dit yew git dat monster??'
'Vell,' replied Ole, I got it from my Genie.'
'You haff a Genie?' Sven asked.
'Ya, shure It's right here in my tackle box,' says Ole.
'Could I see him?'
Ole opens his tackle box and sure enough, out pops the Genie.
Addressing the genie, Sven says, 'Hey dere! I'm a good friend of your master. Vill you grant me vun vish?'
'Yes, I will,' says the Genie.
So Sven asks the Genie for a million bucks.
The Genie disappears back into the tackle box leaving Sven sitting there waiting for his million bucks.
Shortly, the sky darkens and is filled with the sound of a million ducks... Flying directly overhead.
Over the roar of the million ducks,
Sven yells at Ole, 'Yumpin' Yimminy,
I asked for a million bucks, not a million ducks!'
Ole answers, 'Ya, I forgot to tell yew dat da Genie is hart of hearing.
Do yew really tink I asked for a 10-inch Bic?"
01-22-2010, 07:06 PM
Location: Somewhere in San Antonio
417 posts, read
982,404 times
Reputation: 269
A woman was in town on a shopping trip. She began her day finding the most
perfect shoes in the first shop and a beautiful dress on sale in the second.
In the third, everything had just been reduced by 50 percent when her mobile phone rang.
It was a female doctor notifying her that her husband had just been in a
terrible car accident and was in critical condition in the ICU. The woman
told the doctor to inform her husband where she was and that she'd be there as soon as possible. As she hung up she realized she was leaving what was shaping up to be her best day ever in the boutiques.
She decided to get in a couple of more shops before heading to the hospital. She ended up shopping the rest of the morning, finishing her trip with a cup of coffee and a beautiful chocolate cake slice, compliments of the last shop.
She was jubilant.
Then she remembered her husband. Feeling guilty, she dashed to the hospital. She saw the doctor in the corridor and asked about her husband's condition.
The lady doctor glared at her and shouted, 'You went ahead and finished your shopping trip, didn't you! I hope you're proud of yourself! While you were out for the past four hours enjoying yourself in town, your husband has been languishing in the Intensive Care Unit! It's just as well you went ahead and finished, because it will more than likely be the last shopping trip you ever take! For the rest of his life he will require round-the-clock care.
And he will now be your career!'
At this the woman broke down and sobbed.
The lady doctor then chuckled and said, 'I'm just pulling your leg. He's
dead. Show me what you bought.'
01-24-2010, 10:09 AM
Location: Tricity, PL
61,648 posts, read
87,001,838 times
Reputation: 131603
What Makes 100%? What does it mean to give MORE than 100%? Ever wonder about those people who say they are giving more than 100%? We have all been to those meetings where someone wants you to give over 100%. How about achieving 103%? What makes up 100% in life?
Here's a little mathematical formula that might help you answer these questions:
If:
A B C D E F G H I J K L M
N O P Q R S T U V W X Y Z
is represented as:
1 2 3 4 5 6 7 8 9 10 11 12
13 14 15 16 17 18 19 20 21
22 23 24 25 26.
Then:
H-A -R -D-W-O -R -K
8+1+18+4+23+15+18+11 = 98%
and
K -N -O -W-L -E-D-G-E
11+14+15+23+12+5+4+7+5 = 96%
But ,
A-T-T-I-T-U-D-E
1+20+20+9+20+21+4+5 = 100%
And,
B -U -L -L -S -H-I -T
2+21+12+12+19+8+9+20 = 103%
AND, look how far as* kissing will take you..
A-S-S-K-I-S-S-I-N-G
1+19+19+11+9+19+19+9+14+7 = 118%
So, one can conclude with mathematical certainty, that While Hard Work and Knowledge will get you close, and Attitude will get you there, its the Bullsh*t and As* Kissing that will put you over the top.
01-24-2010, 06:23 PM
3,309 posts, read
5,770,375 times
Reputation: 5043
norman rockwellian
I have no idea who put this together, but, it's wonderful!!
Long ago and far away, in a land that time forgot,
Before the days of Dylan, or the dawn of Camelot
There lived a race of innocents, and they were you and me,
For Ike was in the White House in that land where we were born,
Where navels were for oranges, and Peyton Place was porn.
We learned to gut a muffler, we washed our hair at dawn,
We spread our crinolines to dry in circles on the lawn.
We longed for love and romance, and waited for our Prince,
And Eddie Fisher married Liz, and no one's seen him since.
We danced to 'Little Darlin,' and sang to 'Stagger Lee'
And cried for Buddy Holly in the Land That Made Me, Me.
Only girls wore earrings then, and 3 was one too many,
And only boys wore flat-top cuts, except for Jean McKinney.
And only in our wildest dreams did we expect to see
A boy named George with Lipstick, in the Land That Made Me, Me.
We fell for Frankie Avalon, Annette was oh, so nice,
And when they made a movie, they never made it twice.
We didn't have a Star Trek Five, or Psycho Two and Three,
Or Rocky-Rambo Twenty in the Land That Made Me, Me.
Miss Kitty had a heart of gold, and Chester had a limp,
And Reagan was a Democrat whose co-star was a chimp.
We had a Mr. Wizard, but not a Mr. T,
And Oprah couldn't talk yet, in the Land That Made Me, Me.
We had our share of heroes, we never thought they'd go,
At least not Bobby Darin , or Marilyn Monroe
For youth was still eternal, and life was yet to be,
And Elvis was forever in the Land That Made Me, Me.
We'd never seen the rock band that was Grateful to be Dead,
And Airplanes weren't named Jefferson , and Zeppelins were not Led.
And Beatles lived in gardens then, and Monkees lived in trees,
Madonna was Mary in the Land That Made Me, Me.
We'd never heard of microwaves, or telephones in cars,
And babies might be bottle-fed, but they weren't grown in jars.
And pumping iron got wrinkles out, and 'gay' meant fancy-free,
And dorms were never co-ed in the Land That Made Me, Me.
We hadn't seen enough of jets to talk about the lag,
And microchips were what was left at the bottom of the bag.
And Hardware was a box of nails, and bytes came from a flea,
And rocket ships were fiction in the Land That Made Me, Me.
Buicks came with portholes, and side shows came with freaks,
And bathing suits came big enough to cover both your cheeks.
And Coke came just in bottles, and skirts below the knee,
And Castro came to power near the Land That Made Me, Me.
We had no Crest with Fluoride, we had no Hill Street Blues,
We had no patterned pantyhose or Lipton herbal tea
Or prime-time ads for those dysfunctions
in the Land That Made Me, Me.
There were no golden arches, no Perrier to chill,
And fish were not called Wanda , and cats were not called Bill.
And middle-aged was 35 and old was forty-three,
And ancient were our parents in the Land That Made Me, Me.
But all things have a season, or so we've heard them say,
And now instead of Maybelline we swear by Retin-A.
They send us invitations to join AARP,
We've come a long way, baby, from the Land That Made Me, Me.
So now we face a brave new world in slightly larger jeans,
And wonder why they're using smaller print in magazines.
And we tell our children's children of the way it used to be,
Long ago and far away in the Land That Made Me, Me.
AND NOW: For those of you too young to remember
Bob Hope, ask your Grandparents!!!
And thanks for the memories...........
Give me a sense of humor, Lord,
Give me the grace to see a joke,
To get some humor out of life,
And pass it on to other folks
01-25-2010, 10:10 PM
Location: Somewhere in San Antonio
417 posts, read
982,404 times
Reputation: 269
ORDER IN THE COURT!! ORDER IN THE COURT!!
These are from a book called 'Disorder in the American Courts' and are
things people actually said in court, word for word, taken down and now
published by court reporters that had the torment of staying calm while
these exchanges were actually taking place.
____________ _________ _________ _________ _____
ATTORNEY: This myasthenia gravis, does it affect your memory at all?
WITNESS: Yes.
ATTORNEY: And in what ways does it affect your memory?
WITNESS: I forget.
ATTORNEY: You forget? Can you give us an example of something
you forgot?
____________ _________ _________ _________ ____
ATTORNEY: Now doctor, isn't it true that when a person
dies in his sleep, he doesn't know about it until the next morning?
WITNESS: Did you actually pass the bar exam?
____________ _________ ____ ___________
ATTORNEY: The youngest son, the twenty-year-old, how old is he?
WITNESS: He's twenty, much like your IQ.
____________ _________ _________ _________ ____
ATTORNEY: Were you present when your picture was taken?
WITNESS: Are you ****ting me?
____________ _________ _________ _________ __
ATTORNEY: So the date of conception (of the baby)
was August 8th?
WITNESS: Yes.
ATTORNEY: And what were you doing at that time?
WITNESS: Getting laid.
____________ _________ _________ _________ _____
ATTORNEY: She had three children, right?
WITNESS: Yes.
ATTORNEY: How many were boys?
WITNESS: None.
ATTORNEY: Were there any girls?
WITNESS : Your Honor, I think I need a different attorney.
Can I get a new attorney?
____________ _________ _________ _________ _____
ATTORNEY: How was your first marriage terminated?
WITNESS: By death.
ATTORNEY: And by whose death was it terminated?
WITNESS: Take a guess.
____________ _________ _________ _________ _____
ATTORNEY: Can you describe the individual?
WITNESS: He was about medium height and had a beard.
ATTORNEY: Was this a male or a female?
WITNESS: Unless the Circus was in town I'm going with male.
____________ _________ _________ _______
ATTORNEY: Is your appearance here this morning pursuant
to a deposition notice which I sent to your attorney?
WITNESS: No, this is how I dress when I go to work.
____________ _________ _________ ________
ATTORNEY: Doctor, how many of your autopsies have you
performed on dead people?
WITNESS: All of them. The live ones put up too much of a fight.
____________ _________ _________ _________ __
ATTORNEY: ALL your responses MUST be oral, OK?
What school did you go to?
WITNESS: Oral.
____________ _________ _________ _________ __
ATTORNEY: Do you recall the time that you examined the body?
WITNESS: The autopsy started around 8:30 p.m.
ATTORNEY: And Mr. Denton was dead at the time?
WITNESS: If not, he was by the time I finished.
____________ _________ _________ _________ _____
ATTORNEY: Are you qualified to give a urine sample?
WITNESS: Are you qualified to ask that question?
____________ _________ _________ ________
And the best for last:
ATTORNEY: Doctor, before you performed the autopsy,
did you check for a pulse?
WITNESS: No.
ATTORNEY: Did you check for blood pressure?
WITNESS: No.
ATTORNEY: Did you check for breathing?
WITNESS: No.
ATTORNEY: So, then it is possible that the patient was alive
when you began the autopsy?
WITNESS: No.
ATTORNEY: How can you be so sure, Doctor?
WITNESS: Because his brain was sitting on my desk in a jar.
ATTORNEY: I see, but could the patient have still been alive, nevertheless?
WITNESS: Yes, it is possible that he could have been alive and practicing law.
01-26-2010, 08:05 AM
3,309 posts, read
5,770,375 times
Reputation: 5043
Old golfer
A crusty old golfer comes in from a round of golf at a new course and heads into the grill room. As he passes through the swinging doors he sees a sign hanging over the bar :
COLD BEER: $2.00
HAMBURGER: $2.25
CHEESEBURGER: $2.50
CHICKEN SANDWICH : $3.50
HAND JOB: $50.00
Checking his wallet to be sure he has the necessary payment, the old golfer walks up to the bar and beckons to the exceptionally attractive female bartender who is serving drinks to a couple of sun-wrinkled golfers.
She glides down behind the bar to the old golfer.
"Yes?" she inquires with a wide, knowing smile, "May I help you?"
The old golfer leans over the bar an whispers, "I was wondering, young lady," he whispers, "are you the one who gives the hand-jobs? "
She looks into his eyes with that wide smile and purrs: "Yes Sir , I sure am."
The old golfer leans closer and into her left ear and says softly, "Well, wash your hands real good because I want a cheeseburger."
Please register to post and access all features of our very popular forum. It is free and quick. Over $68,000 in prizes has already been given out to active posters on our forum. Additional giveaways are planned.
Detailed information about all U.S. cities, counties, and zip codes on our site: City-data.com .
Data:
Median household income ($)
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 19, 2024)
Deaths caused by coronavirus (Apr 19, 2024)
Coronavirus confirmed cases (per 100k population) (Apr 19, 2024)
Deaths caused by coronavirus (per 100k population) (Apr 19, 2024)
Daily increase in number of cases (Apr 19, 2024)
Weekly increase in number of cases (Apr 19, 2024)
Cases doubled (in days) (Apr 19, 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 (%)