ZIP CODE AREAS (FIVE-DIGIT) | |
Data format: SHAPEFILE File or table name: clay.DBO.Zip_Code Coordinate system: Transverse Mercator Theme keywords: polygon, zip codes, areas, five-digit zip codes, post offices, population, location, society |
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Abstract:
This dataset represents Florida ZIP Code Areas (Five-Digit) used by the U.S. Postal Service to deliver mail more effectively. |
Metadata elements shown with blue text are defined in the Federal Geographic Data Committee's (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM). Elements shown with green text are defined in the ESRI Profile of the CSDGM. Elements shown with a green asterisk (*) will be automatically updated by ArcCatalog. ArcCatalog adds hints indicating which FGDC elements are mandatory; these are shown with gray text.
This dataset represents Florida ZIP Code Areas (Five-Digit) used by the U.S. Postal Service to deliver mail more effectively.
U.S. ZIP Code Areas (Five-Digit) provides area, post office name, and population for each ZIP Code area in the United States. The polygons identify areas where mail is delivered (from a city block or two to a whole rural town) within United States.
Largest scale when displaying the data: 1:250,000. U.S. ZIP Code Areas (Five-Digit) represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a sectional center facility or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area. The polygons identify areas where mail is delivered (from a city block or two to a whole rural town) within United States.
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THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING, MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html
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United States Postal Service
GeoPlan relied on the integrity of the attribute information within the original data.
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
Spatial and Attribute Information
Spatial and Attribute Information
Spatial and Attribute Information
Spatial and Attribute Information
The following steps were performed by ESRI: -Extracted data set from Tele Atlas Dynamap/Census Boundaries v. 7.0. -Created region features from the polygon features. -Added the SQMI attribute and calculated its values. -Added POP2005 attribute from ESRI Community Data. -Added attribute POP05_SQMI and calculated its values. -Added and calculated SUMBLKPOP attribute by overlaying 2006 U.S. Census Block Centroid Populations then summing the Census Block centroids that fall within each ZIP Code area. -Converted the data set to SDC. -Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices.
The GeoPlan Center downloaded the zip code boundary data from the ESRI 9.2 Data and Maps DVD. Reprojected the data from GCS_WGS_1984 to FGDL NAD83 Albers (HPGN). See below for full original metadata. GEOGCS["GCS_WGS_1984", DATUM["D_WGS_1984", SPHEROID["WGS_1984",6378137,298.257223563]], PRIMEM["Greenwich",0], UNIT["Degree",0.0174532925199433]] GeoPlan added the following three zip code boundaries to the dataset. GOODLAND EVERGLADES CITY CHOKOLOSKEE After adding the three extra zip code boundaries the attribute table was then updated for these records. GeoPlan then added the following fields to the dataset. DESCRIPT - Based on PO_NAME FGDLAQDATE - Based on data the data was downloaded from the Source. AUTOID - GeoPlan Center Feature Number.
Dataset copied.
Dataset copied.
Dataset copied.
Dataset copied.
Internal feature number.
ESRI
The two-letter abbreviation for the state in which the ZIP Code area is located.
ESRI
The five-digit number used by the postal service to identify an area where mail is delivered.
ESRI
Feature geometry.
ESRI
431 Architecture PO Box 115706
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The SDC file contains the geospatial and attribute data. The SDI file contains the spatial index. The PRJ file contains the coordinate system information (optional). The XML file (*.sdc.xml) contains the metadata describing the data set (optional).
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