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.

County Boundary for Pitt County North Carolina - This dataset only contains one polygon representing the Pitt County boundary. This dataset is maintained in collaboration between Pitt County Tax Administration and Pitt County Management Information Systems. For specific questions regarding the data you may contact the Pitt County MIS department at 252-902-3800 OR contact Pitt County Tax Administration at 252-902-3400.Pitt County is a county located in the U.S. state of North Carolina. As of the 2010 census, the population was 168,148, making it the seventeenth-most populous county in North Carolina. The county seat is Greenville. Pitt County comprises the Greenville, NC Metropolitan Statistical Area. As one of the fastest growing centers in the state, the county has seen a population boom since 1990.

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

This study explores the variation in ignition probability from different development patterns. This study sought to answer how development influences the spatial IP patterns. Development changes were mapped for eleven years (between 2001 and 2012) and the relationship between development and fire risk was assessed. The study area covered Bastrop and Travis County located in Texas. Bastrop county is home to the most destructive fire in Texas history, while the neighboring Travis County is one of the fastest growing areas in the state. Lateral development was categorized into five categories: infill, radial, isolated, clustered, and linear. Ignition probability maps show a fair sensitivity (0.77-0.78). Using Maximum Entropy, I predict the spatial distribution of ignition probabilities based on several physical and land use characteristics couples with historic ignition locations. Variation in ignition probability was assessed for each category of development using one-way ANOVA’s and post hoc analysis for each time period. Analyses found that outlying development patterns: isolated, clustered, linear, were at higher wildfire risk than infill and radial development. The results suggest that both spatial composition and location influence wildfire ignition. Probability results suggest that fire probabilities fall along a development gradient. Those areas nearest previous urban development have lower probabilities while outlying development patterns in the wildlands have higher probabilities.

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 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

The NC Center for Geographic Information and Analysis developed the GIS data set, County Boundaries with Shoreline, as mapped by the US Geological Survey-Digital Line Graph Program to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. Another coverage contains straight-lined boundaries of the coastal counties without the shoreline. This data was created to assist governmental agencies and others in making resource management decisions through use of a Geographic Information System (GIS). For more information about the data please go to cgia.state.nc.us

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

This dataset reports annual building permits per capita (in 1,000's of persons) 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 and Census population estimates by county

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 displays all the hazardous waste sites in the United States and it's Territories as of 5.08. The data comes from the Agency for Toxic Substances and Disease Registry(ATSDR). The dataset contains information about the site: Site ID Site Name CERCLIS # Address City State County Latitude Longitude Population Region # Congressional Districts Federal Facility National Priorities List Status Ownership Status Classification For more information go to the Agency for Toxic Substances and Disease Registry(ATSDR)website at http://www.atsdr.cdc.gov

This dataset shows the count of Deck structures 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

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 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 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 explores the United States Department of Agriculture (USDA) Food and Nutrition Service Program - Food Stamp Program by recording the average monthly benefit by household for the years 2003-2007 by state. * The following outlying areas receive Nutrition Assistance Grants which provide benefits analogous to the Food Stamp Program: Puerto Rico, American Samoa, and the Northern Marianas. Annual averages are total benefits divided by total annual household participation. All data are subject to revision.

This dataset explores the USDA summer food service program participation by state for fiscal years 2003-2007. *Average daily attendance is reported for July only, the peak month of national program activity. Unlike participation data in the National School Lunch and School Breakfast Programs, average daily attendance is not adjusted for absenteeism. Data are subject to revision.

This dataset was found online at the Association of Religious Data Archives (ARDA) website. http://www.thearda.com/ . This data set shows information on religous groups throughout the United States. All data was uploaded as a polypoint centroids per county in the United States, in shapefile format. This Data set shows the Total congregations, Total Adherents, and Rate of Adherence per 1000 population for All religions in the United States and for the Mainline Religions.