EPA data for Air Quality Index (AQI) for 11 of the fastest growing cities in the US for 2010 and 2019. US Official Census data for respective city growth from 2010-2019.

There are 4 labeled tabs. First is EPA data for each city for years 2010 and 2019. Second is US census data for each city's growth, region, population. Third is a key for AQI scores, Fourth is a key for air pollutant types.

Data is from US official census data and Environmental Protection Agency data. Cite both of these websites. Also, EPA data is county data from which the respective city belongs to. This is because county data is the most drilled down AQI data that the EPA website offers, or at least that I saw.

This data set illustrates where the youth of the nation reside. Included in the data set are the rankings of city by age and the median age of the city. Source: Census data, Onboard 2006 projection URL: http://money.cnn.com/magazines/moneymag/bplive/2007/top25s/youngest.html Date Accessed: October 16, 2007

The United States MSA Boundaries data set contains the boundaries for metropolitan statistical areas in the United States. The data set contains information on location, identification, and size. The database includes metropolitan boundaries within all 50 states, the District of Columbia, and Puerto Rico. The general concept of a metropolitan area (MA) is one of a large population nucleus, together with adjacent communities that have a high degree of economic and social integration with that nucleus. Some MAs are defined around two or more nuclei. Each MA must contain either a place with a minimum population of 50,000 or a U.S. Census Bureau-defined urbanized area and a total MA population of at least 100,000 (75,000 in New England). An MA contains one or more central counties. An MA also may include one or more outlying counties that have close economic and social relationships with the central county. An outlying county must have a specified level of commuting to the central counties and also must meet certain standards regarding metropolitan character, such as population density, urban population, and population growth. In New England, MAs consist of groupings of cities and towns rather than whole counties. The territory, population, and housing units in MAs are referred to as "metropolitan." The metropolitan category is subdivided into "inside central city" and "outside central city." The territory, population, and housing units located outside territory designated "metropolitan" are referred to as "non-metropolitan." The metropolitan and non-metropolitan classification cuts across the other hierarchies; for example, generally there are both urban and rural territory within both metropolitan and non-metropolitan areas.

This dataset illustrates the cities with the largest wind speed differences. Also included are the city and state, the population, the speed differnce, the ranking, and the inverse ranking (to be used only for mapping purposes). Source: City-Data URL: http://www.city-data.com/top2/c466.html Date Accessed: November 9, 2007

This dataset displays the annual US import of pork. This is measured in carcass weight by 1000 pound scale. The data is available from 2003 - January of 2008.

This dataset displays the Real GDP by metropolitan area for the years 2001-2005. For each of the posted metropolitan areas Millions of chained dollars and the percentage change from the previous year is posted. This data was geocoded according to city and state locations. During the geocoding process 233/363 records from the original dataset were successfully geocoded. The reason for this is that during the process is that the dataset often groups cities together into one metropolitan area, which were unable to be properly coded. This data was collected from the Bureau of Economic analysis at their web page at: http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm Access Date: October 29, 2007

This dataset illustrates the largest difference between high and low temperatures and the smallest difference between high and low temperatures in cities with 50,000 people or more. A value of -1 means that the data was not applicable. Also included are the rankings, the inverse ranking to be used for mapping purposes, the popualtion, the name of city and state, and the temperature degree difference. Source City-Data URL http//www.city-data.com/top2/c489.html http//www.city-data.com/top2/c490.html Date Accessed November 13,2007

This dataset has been migrated from our Geocommons platform, and lacks a description from the original posting user. This is not a Fortiusone provided dataset. Please keep this in mind, and make of the dataset what you will. Thank you for visiting Finder!

This is the monthly data for U.S. employment and unemployment by state including some numbers for Puerto Rico. This dataset was accessed on April 7th 2008. The data for February 2008 are preliminary. The data presented are seasonally adjusted although the unadjusted numbers are also available. Unavailable data are represented as -1. The dataset is taken from Tables 3 and 5 from the United States Department of Labor, Bureau of Labor Statistics. It includes the civilian labor force, the unemployed in numbers and percentages, and employment by industry. Data from table 3 "refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No. 08-01, dated November 20, 2007, and are available at http://www.bls.gov/lau/lausmsa.htm. Estimates for the latest month are subject to revision the following month". Data from table 5 "are counts of jobs by place of work. Estimates are currently projected from 2007 benchmark levels. Estimates subsequent to the current benchmarks are provisional and will be revised when new information becomes available. Data reflect the conversion to the 2007 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry, replacing NAICS 2002. For more details, see http://www.bls.gov/sae/saenaics07.htm.

This dataset includes unemployment rates for all counties in the lower 48 for the year 2004. I calculated Rates of Change from 2003 and they are also included. The data was extracted from the Bureau of Labor Statistic Local Area Unemployment Statistics (LAUS)program. (pre-update)

This dataset reports annual building permits by metro area in the U.S. for the years 2000-2006. It was created based on the U.S. Census quartlerly building permit data by county.

This dataset provides highly detailed (Block Level) views of various demographics for Manhattan, New York city. this dataset includes information on age, race, sex, income, housing, and various other attributes. This data comes from the 2000 Us Census and was joined to the Census Tiger line files to create the output. enjoy!

This dataset is a boundary file obtained from the US Census Tiger Shape file library which can be found online. I downloaded the File for California then Used ESRI ArcMap to cut out the San Francisco MSA from Californai. Census demographic data was joined to the boundaries. This file includes attributes on Race and Populations and other demographic data.

HAZUS is an abbreviation for Hazards United States, and was developed by FEMA. The HAZUS dataset was designed to estimate the potential physical, economic and social losses during hazardous events such as flooding or earthquakes. To measure the social impact of these events, HAZUS includes detailed demographic data for the United States. This dataset pulls out the income range data from the demographic files, at the census block level for the Kentucky section of the Cincinnati, Ohio Metropolitan Statistic Area (MSA). Income attributes include; incomes under $10k, incomes from $10k-$20k, $20k-$30k, and so on up until income of $100k+. Demographics data was recent as of May 2006.

This dataset displays the annual pork exports of the United states. The data is displayed by country on a scale of carcass weight by 1000 pounds. The time period covered is 2003 to Jan 2008

This dataset explores the U.S.Census data on State Government Tax Collections (STC) for the year 2007, by state and type of tax. The State Government Tax Collections (STC) report lists the various taxes collected by each state. The tables and data files show the tax revenues collected on a state by state basis.

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the number of persons participating in February 2007, January 2008 and February 2008. Then, a calculation of change over time is achieved. * The following areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. January and February 2008 data are preliminary and are subject to significant revision.

This dataset explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the number of households participating in February 2007, January 2008, February 2008 and then calculates the change over time by state. * The following areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. January and February 2008 data are preliminary and are subject to significant revision.

The National Highway Planning Network is a comprehensive network database of the nation's major highway system. It consists of the nation's highways comprised of Rural Arterials, Urban Principal Arterials and all National Highway System routes. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, Hawaii, and Puerto Rico. The nominal scale of the data set is 1:100,000 with a maximal positional error of 80 meters.

This dataset shows the count of substructures per county in the United States. the count is divided into safety ratings for each county, with values from 0-9. '0' Failed '1' Imminent '2' Critical '3' Serious '4' Poor '5' Fair '6' Satisfactory '7' Good '8' Very good '9' Excellent 'Unk' Unknown 'N' Not applicable Also Dangerous is summation of 0,1,2 and 3. Risky is summation of 4, 5 and 6. Safe is summation of 7, 8 and 9. Data Source: http://www.fhwa.dot.gov/bridge/britab.htm