09-09-2010, 06:50 PM
Location: Earth
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Quote:
Originally Posted by
Cyanna
Really? You think? Actually, my uncle Michael Bogan was killed on Sept. 6, 1934 in Camden, NJ, and details of his death are still locked from public view by the police in Camden. My uncle was killed because he was a witness in the killing of Officer William Feitz. The only question is whether it was the dirty cops who killed him or a member of the Mais-Leganza gang. Witnesses for this case were ending up dead pretty quick within days of the officer's killing. My family have always had integrity and honesty, even while struggling. By the way, my father was born in 1920, and if you think life was good for the lower classes in Camden during those years you are seriously wrong.
Your dad's close in age to my grandparents, and they or their parents definitely would not have called the cops if Capone, Nitti, or Ricca were up to anything, nor would anyone in their neighborhood have done so. Even if nothing happened to that person, their neighbors would shun them. That's how things were.
And I know very well things were bad for the lower classes in American big cities during those years, Chicago just like Camden and Philly. However people looked out for each other, and that's gone now. Obviously there weren't many jobs during the '30s but before and after that the factories were there. When they closed for good is when the Chicago South Side,North Philly, and Camden (amongst other areas) took massive dives.
BTW, googled William Feitz - the story of Robert Mais and Walter Legenza was quite interesting. I'm surprised there's only been one movie made about them, you'd think there would've been many.
09-09-2010, 07:59 PM
Location: Dalton Gardens
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Quote:
Originally Posted by
majoun
Your dad's close in age to my grandparents, and they or their parents definitely would not have called the cops if Capone, Nitti, or Ricca were up to anything, nor would anyone in their neighborhood have done so. Even if nothing happened to that person, their neighbors would shun them. That's how things were.
And I know very well things were bad for the lower classes in American big cities during those years, Chicago just like Camden and Philly. However people looked out for each other, and that's gone now. Obviously there weren't many jobs during the '30s but before and after that the factories were there. When they closed for good is when the Chicago South Side,North Philly, and Camden (amongst other areas) took massive dives.
BTW, googled William Feitz - the story of Robert Mais and Walter Legenza was quite interesting. I'm surprised there's only been one movie made about them, you'd think there would've been many.
My Irish uncles were not above reproach, but even they had a code of ethics when it came to their own neighborhood, and they never stole a thing. But like you've so rightly said, people looked after each other back then. To some extent this still happens in smaller communities. I believe it could happen again in the larger communities if steps were taken to get the ball rolling.
Mais & Legenza were cleared of this crime, It was an associate who ended up getting the electric chair for the killing. I still try to get my uncle's police record, year after year, but keep hitting a brick wall of silence.
09-09-2010, 09:21 PM
Location: 'Murica
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Quote:
Originally Posted by
Fontucky
Where in the IE? Lake Smellsomemore?
I was thinking maybe Bro-mont...but that would work, too
09-09-2010, 10:02 PM
Location: Brooklyn, NY $$$
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Quote:
Originally Posted by
Fontucky
Anyone who labels the "Black Beverly Hills" (Baldwin Hills) as "ghetto" is either a stereotyping ass or has never been to L.A.
They do the same with Inglewood.
im black and i use to always thing inglewood was the ghetto do to the gangs, but now i know it isnt and wanna visit.
i hear ingelwood has many caribbean black folks to
09-09-2010, 10:05 PM
Location: Earth
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Quote:
Originally Posted by
Cyanna
My Irish uncles were not above reproach, but even they had a code of ethics when it came to their own neighborhood, and they never stole a thing. But like you've so rightly said, people looked after each other back then. To some extent this still happens in smaller communities. I believe it could happen again in the larger communities if steps were taken to get the ball rolling.
It does say something that in the old working class neighborhoods of the east and midwest - for example Burnside in Chicago where my grandparents were from, or Camden - it took 70-80 years for them to truly become the type of ghettos we know today whereas in the working class neighborhoods of the Valley like Van Nuys and Panorama City it only took a little over 40 years. Maybe because the old east coast and midwestern neighborhoods were planned around people and had well built structures while the Valley was planned around the car and had shoddily built structures? Not the only factor - the deindustrialization of America was the biggest factor - but it's probably a factor.
09-09-2010, 10:07 PM
Location: Brooklyn, NY $$$
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Quote:
Originally Posted by
killer2021
I admit I use race heavily when evaluating an area. I kid you not, look at the data here. If the population is predominantly black or hispanic (ie. 80%+) the crime will be through the roof, schools will be terrible etc. Meanwhile if you take an area with 80%+ white or asian community it will have best schools, low crime etc.
Its pretty much a fact here. Black and Hispanic community = ghetto while white and asian community = pleasantville
Statistics don't lie.
You should look up the, "whitetopia" communities, places with 90%+ white population.
Here is a popular one:
http://en.wikipedia.org/wiki/Coeur_d'Alene,_Idaho#Demographics
and its because of people like you that places like baldwin hills or cambira heights, queens, ny will always be nice high class black areas out of a bunch that are ignored all cause people think its cool to stereotype.
09-09-2010, 10:12 PM
Location: Brooklyn, NY $$$
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Quote:
Originally Posted by
Cyanna
I disagree. Whether its today or 50 years ago, people make the choice to allow their neighborhoods to become blighted, or they decide to have some pride of place, get off their arses and do something about it. Being poor has nothing to do with living in filth.
you were owned from the beginning as the person wrote above when your grand parents were living in camden their was plenty of jobs and factory work.
a lot of people tend to ignore the fact that most ghettos in cities in america that are broke now were filled with jobs and mostly white and happy to live in.
so i dont blame race here i blame the city itself. the jobs should of stayed or they need to come back.
09-09-2010, 10:15 PM
Location: Brooklyn, NY $$$
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Reputation: 1667
Quote:
Originally Posted by
Cyanna
My Irish uncles were not above reproach, but even they had a code of ethics when it came to their own neighborhood, and they never stole a thing. But like you've so rightly said, people looked after each other back then. To some extent this still happens in smaller communities. I believe it could happen again in the larger communities if steps were taken to get the ball rolling.
Mais & Legenza were cleared of this crime, It was an associate who ended up getting the electric chair for the killing. I still try to get my uncle's police record, year after year, but keep hitting a brick wall of silence.
wow your irish and your talking about pride of areas? lol
i have a irish friend who tells me all the time that irish folk back then were the blacks today and took no type of pride in their areas and commited plenty of crimes just like blacks and a lot were involved in gangs.
so this is funny to me lol. imma tell my irish friend this tommarow.
09-09-2010, 10:25 PM
Location: Silicon Valley, CA
13,570 posts, read
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Quote:
Originally Posted by
killer2021
I admit I use race heavily when evaluating an area. I kid you not, look at the data here. If the population is predominantly black or hispanic (ie. 80%+) the crime will be thro the roof, schools will be terrible etc. Meanwhile if you take an area with 80%+ white or asian community it will have best schools, low crime etc.
Its pretty much a fact here. Black and Hispanic community = ghetto while white and asian community = pleasantville
Statistics don't lie.
You should look up the, "whitetopia" communities, places with 90%+ white population.
Here is a popular one:
Coeur d'Alene, Idaho - Wikipedia, the free encyclopedia
Well, then, what about impoverished, overwhemingly white communities in Appalachia? And the upscale, largely black communities in the DC suburbs?
It's more an issue of poverty/socioeconomic levels, rather than race. Unfortunately, the political power dynamics in this country suggest that many communities of color which are impoverished lack the political clout to ensure that they get good access to public services and amenities that other, more affluent (and largely white) communities take for granted.
09-09-2010, 10:31 PM
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Reputation: 2378
Quote:
Originally Posted by
hogwatch
I can even say some folks label predominantly African American neighborhoods like Baldwin Hills as ghetto when it is clearly not one.
...
Most white people are afraid of walking in brown and black neighborhoods that are middle class so they just simply label it a ghetto due to that fear. If I am wrong about this please correct me. Thanks
...
Can't speak for up north. But I know down here, if an area is predominant ANY race, it's usually going to be a ghetto UNLESS it's a place like Coronado where you have a bunch of snooty folks.
Santee - predominant white trash, ghetto, bros running around
El Cajon - predominant African American, ghetto, all sorts of unruly folks walking up and down (Same with Skyline and Logan Heights)
Escondido close to the 15 - predominant Hispanic, SIGNIFICANTLY run down, day laborers aplenty
Then there are other areas with Asian gangs that I know of - like some parts of Sacramento, especially near Tahoe Park.
Quote:
Originally Posted by
hogwatch
The reason I reveal this is so the reader will not think I am some "cholo" who lives with 10 other people in a 1 bedroom apartment.
I found this funny too - though most cholos I know don't live with a bunch of people, they usually live with their girlfriend that they abuse every day. Just sayin
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Median household income ($) - Asian
Median household income ($) - Hispanic or Latino
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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
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Unemployment (%) - White
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Population density (people per square mile)
Population - Males (%)
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Population - Males (%) - Asian
Population - Males (%) - Hispanic or Latino
Population - Males (%) - American Indian and Alaska Native
Population - Males (%) - Multirace
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Population - Females (%) - Black or African American
Population - Females (%) - Asian
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Coronavirus confirmed cases (Mar 03, 2024)
Deaths caused by coronavirus (Mar 03, 2024)
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Hospitalized patients (Apr 18, 2022)
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COVID Vaccine doses distributed (per 100k population) (Sep 19, 2023)
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COVID Vaccine doses distributed (Sep 19, 2023)
COVID Vaccine doses administered (Sep 19, 2023)
Likely homosexual households (%)
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Likely homosexual households - Lesbian couples (%)
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Cost of living index
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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
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Travel time to work - Less than 5 minutes (%)
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Travel time to work - 5 to 9 minutes (%)
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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 (%)
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Travel time to work - 40 to 59 minutes (%)
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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 (%)
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Median family income ($) - American Indian and Alaska Native
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Median year house/condo built
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Year house built - Built 2000 to 2004 (%)
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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 (%)
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Average household size
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Occupied housing units (%)
Vacant housing units (%)
Owner occupied housing units (%)
Renter occupied housing units (%)
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Vacancy status - Rented or sold, not occupied (%)
Vacancy status - For seasonal, recreational, or occasional use (%)
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Residents with income below the poverty level (%)
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Poverty among high school graduates not in families (%)
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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
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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
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Crime - Robberies per 100,000 population
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Crime - Burglaries per 100,000 population (5 year average)
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Crime - City-data.com crime index (5 year average)
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1996 Presidential Elections Results (%) - Democratic Party (Clinton)
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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)
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2016 Presidential Elections Results (%) - Democratic Party (Clinton)
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2020 Presidential Elections Results (%) - Democratic Party (Biden)
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Ancestries Reported - Dutch (%)
Ancestries Reported - English (%)
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Ancestries Reported - French Canadian (%)
Ancestries Reported - German (%)
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Ancestries Reported - Portuguese (%)
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Ancestries Reported - Scotch-Irish (%)
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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 (%)
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School Enrollment - Nursery, preschool (%)
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School Enrollment - College undergrad (%)
School Enrollment - Graduate or professional (%)
School Enrollment - Not enrolled in school (%)
School enrollment - Public schools (%)
School enrollment - Private schools (%)
School enrollment - Not enrolled (%)
Median number of rooms in houses and condos
Median number of rooms in apartments
Housing units lacking complete plumbing facilities (%)
Housing units lacking complete kitchen facilities (%)
Density of houses
Urban houses (%)
Rural houses (%)
Households with people 60 years and over (%)
Households with people 65 years and over (%)
Households with people 75 years and over (%)
Households with one or more nonrelatives (%)
Households with no nonrelatives (%)
Population in households (%)
Family households (%)
Nonfamily households (%)
Population in families (%)
Family households with own children (%)
Median number of bedrooms in owner occupied houses
Mean number of bedrooms in owner occupied houses
Median number of bedrooms in renter occupied houses
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 (%)
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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 (%)
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Most Common Industries - Educational services (%)
Most Common Industries - Health care and social assistance (%)
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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 (%)