FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION TITLE: HISTORIC AND PROJECTED POPULATIONS OF FLORIDA COUNTIES Geodataset Name: CNTPOP_2009 Geodataset Type: SHAPEFILE Geodataset Feature: Polygon Feature Count: 67 |
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GENERAL DESCRIPTION:
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DATA SOURCE(S): University of Florida GeoPlan Center SCALE OF ORIGINAL SOURCE MAPS: 100000 GEODATASET EXTENT: State of Florida |
FEATURE ATTRIBUTE TABLES:
Datafile Name: CNTPOP_2009.DBF
ITEM NAME | WIDTH | TYPE |
OBJECTID
|
4 | OID |
Shape
|
4 | Geometry |
NAME
|
32 | String |
FGDLCODE
|
32 | String |
FIPS
|
3 | String |
POP_1830
|
8 | Double |
POP_1840
|
8 | Double |
POP_1850
|
8 | Double |
POP_1860
|
8 | Double |
POP_1870
|
8 | Double |
POP_1880
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8 | Double |
POP_1890
|
8 | Double |
POP_1900
|
8 | Double |
POP_1910
|
8 | Double |
POP_1920
|
8 | Double |
POP_1930
|
8 | Double |
POP_1940
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8 | Double |
POP_1950
|
8 | Double |
POP_1960
|
8 | Double |
POP_1970
|
8 | Double |
POP_1980
|
8 | Double |
POP_1990
|
8 | Double |
POP_2000
|
8 | Double |
POP_2009
|
8 | Double |
CHANGE
|
8 | Double |
NATURAL_NO
|
8 | Double |
NATURAL_PC
|
8 | Double |
NET_MIG_NO
|
8 | Double |
NET_MIG_PC
|
8 | Double |
LAND_SQM
|
8 | Double |
PP_SQM
|
4 | Integer |
LOW_2010
|
4 | Integer |
MED_2010
|
4 | Integer |
HIGH_2010
|
4 | Integer |
LOW_2015
|
4 | Integer |
MED_2015
|
4 | Integer |
HIGH_2015
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4 | Integer |
LOW_2020
|
4 | Integer |
MED_2020
|
4 | Integer |
HIGH_2020
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4 | Integer |
LOW_2025
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4 | Integer |
MED_2025
|
4 | Integer |
HIGH_2025
|
4 | Integer |
LOW_2030
|
4 | Integer |
MED_2030
|
4 | Integer |
HIGH_2030
|
4 | Integer |
LOW_2035
|
9 | String |
MED_2035
|
9 | String |
HIGH_2035
|
9 | String |
UND18_2010
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8 | Double |
A1864_2010
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8 | Double |
OVR65_2010
|
8 | Double |
UND18_2030
|
8 | Double |
A1864_2030
|
8 | Double |
OVR65_2030
|
8 | Double |
DESCRIPT
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20 | String |
FGDLAQDATE
|
36 | Date |
AUTOID
|
4 | Integer |
SHAPE.AREA
|
0 | Double |
SHAPE.LEN
|
0 | Double |
FEATURE ATTRIBUTE TABLES CODES AND VALUES:
Item | Item Description | |
OBJECTID |
Internal feature number. |
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Shape |
Feature geometry. |
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NAME |
County Name |
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FGDLCODE |
County Code used by FGDL (coincides with alphabetical order) |
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FIPS |
Federal Informational Processing Standard Code. Unique county code used by the Census Bureau. |
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POP_1830 |
Total county population in 1830 |
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POP_1840 |
Total county population in 1840 |
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POP_1850 |
Total county population in 1850 |
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POP_1860 |
Total county population in 1860 |
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POP_1870 |
Total county population in 1870 |
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POP_1880 |
Total county population in 1880 |
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POP_1890 |
Total county population in 1890 |
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POP_1900 |
Total county population in 1900 |
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POP_1910 |
Total county population in 1910 |
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POP_1920 |
Total county population in 1920 |
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POP_1930 |
Total county population in 1930 |
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POP_1940 |
Total county population in 1940 |
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POP_1950 |
Total county population in 1950 |
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POP_1960 |
Total county population in 1960 |
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POP_1970 |
Total county population in 1970 |
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POP_1980 |
Total county population in 1980 |
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POP_1990 |
Total county population in 1990 |
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POP_2000 |
Total county population in 2000 |
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POP_2009 |
Total county population in 2009 |
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CHANGE |
Total change in population between 2000 and 2003 for a County. |
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NATURAL_NO |
The natural increase in population numbers for a County. Natural increase is calculated as the difference between the number of births and the number of deaths. |
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NATURAL_PC |
The natural increase in population numbers as a percentage for a County. Natural increase is calculated as the difference between the number of births and the number of deaths. |
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NET_MIG_NO |
The net migration population number for a County. Net migration is calculated as the difference between total population change and natural increase. |
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NET_MIG_PC |
The net migration population number as a percentage for a County. Net migration is calculated as the difference between total population change and natural increase. |
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LAND_SQM |
The land area in square miles for a County. |
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PP_SQM |
The population per square mile for a County. |
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LOW_2010 |
The low population estimate for the year 2010 for a County. |
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MED_2010 |
The medium population estimate for the year 2010 for a County. |
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HIGH_2010 |
The high population estimate for the year 2010 for a County. |
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LOW_2015 |
The low population estimate for the year 2015 for a County. |
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MED_2015 |
The medium population estimate for the year 2015 for a County. |
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HIGH_2015 |
The high population estimate for the year 2015 for a County. |
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LOW_2020 |
The low population estimate for the year 2020 for a County. |
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MED_2020 |
The medium population estimate for the year 2020 for a County. |
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HIGH_2020 |
The high population estimate for the year 2020 for a County. |
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LOW_2025 |
The low population estimate for the year 2025 for a County. |
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MED_2025 |
The medium population estimate for the year 2025 for a County. |
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HIGH_2025 |
The high population estimate for the year 2025 for a County. |
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LOW_2030 |
The low population estimate for the year 2030 for a County. |
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MED_2030 |
The medium population estimate for the year 2030 for a County. |
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HIGH_2030 |
The high population estimate for the year 2030 for a County. |
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LOW_2035 |
The low population estimate for the year 2035 for a County. |
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MED_2035 |
The medium population estimate for the year 2035 for a County. |
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HIGH_2035 |
The high population estimate for the year 2035 for a County. |
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UND18_2010 |
The population estimate for people under the age of 18 for the year 2010 for a County. Based on the 2010 medium population estimates. |
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A1864_2010 |
The population estimate for people between the ages of 18 and 64 for the year 2010 for a County. Based on the 2010 medium population estimates. |
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OVR65_2010 |
The population estimate for people over the age of 65 for the year 2010 for a County. Based on the 2010 medium population estimates. |
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UND18_2030 |
The population estimate for people under the age of 18 for the year 2030 for a County. Based on the 2030 medium population estimates. |
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A1864_2030 |
The population estimate for people between the ages of 18 and 64 for the year 2030 for a County. Based on the 2030 medium population estimates. |
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OVR65_2030 |
The population estimate for people over the age of 65 for the year 2030 for a County. Based on the 2030 medium population estimates. |
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DESCRIPT |
Based on NAME (Name of the County). |
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FGDLAQDATE |
The date FGDL acquired the data from the Source. |
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AUTOID |
Unique ID added by GeoPlan |
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SHAPE.AREA |
Area in meters |
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SHAPE.LEN |
Perimeter in meters |
Relied on the integrity of the attribute information within the original data layer. |
Relied on the integrity of the attribute information within the original data layer. |
GeoPlan relied on the integrity of the attribute information within the original data. |
Note that the UND18_2010, A1864_2010, OVR65_2010, UND18_2030, A1864_2030, and OVR65_2030 fields have not been updated. These values represent data from the 2004 Florida Statistical Abstract document. For updates of these values please refer to http://www.bebr.ufl.edu/ for ordering instructions. Note: 1/ Natural increase is calculated as the difference between the number of births and the number of deaths; net migration is calculated as the difference between total population change and natural increase. Vital statistics data for persons of unreported residence are included only in the entries for the state. For this reason, natural increase and net migration columns may not add to their state totals. Census data has been revised. Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Estimates of Population, April 1, 2003. Census data from U.S. Bureau of the Census. Note: The medium projection is the one we believe is most likely to provide an accurate forecast of future population. The high and low projections indicate the range in which future populations are likely to fall. They do not represent absolute limits to growth; for any county, the future population may be above the high projection or below the low projection. If future distributions of errors are similar to past distributions, however, future populations will fall between high and low projections in approximately two-thirds of Florida's counties. For a detailed description of projection methodology, see the source. Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Population Studies, February 2004, Volume 37, No. 2, Bulletin No. 138. Note: (X) Not applicable. 1/ Land area figures represent the total area in the counties in 2000 and are not adjusted for lands which cannot be developed (government-owned parks or reserves) or are uninhabitable (swamps or marshes). Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Estimates of Population, April 1, 2003. Census data from U.S. Bureau of the Census. |
To display spatial and attribute data of the 2004 Florida Statistical Abstract Population Profile by county for all Florida counties, in addition to USCB historical county-wide population data. |
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 |
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 |
The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. 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 |
Bureau of Economic and Business Research: http://www.bebr.ufl.edu Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Estimates of Population, Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Population Studies, February 2004, Volume 37, No. 2, Bulletin No. 138. Source: University of Florida, Bureau of Economic and Business Research, Population Program, Florida Population Studies, July 2004, Volume 37, No. 3, Bulletin No. 139. Source: Florida Statistical Abstract 2009 - Forty-Third Edition by the Bureau of Economic and Business Research (BEBR), Warrington College of Business Administration, University of Florida. Source: US Census Bureau http://www2.census.gov/prod2/decennial/documents/1890a_v1-06.pdf Source: US Census Bureau http://www.census.gov/population/cencounts/fl190090.txt |
This data layer was originally created by the US Census Bureau. The GeoPlan Center acquired this dataset from the Florida Department of Environmental Protection GIS Division. This dataset was previously released in FGDL Version 3 (released July 2000), and there was an error in the eastern border of Polk County/ western border of Osceola. The border has been corrected and updated for this new version of the dataset. Process Date: 20000000 |
Projection ALBERS Datum HPGN Units METERS Spheroid GRS1980 1st Standard Parallel 24 0 0.000 2nd Standard Parallel 31 30 0.000 Central Meridian -84 00 0.000 Latitude of Projection's Origin 24 0 0.000 False Easting (meters) 400000.00000 False Northing (meters) 0.00000
DATA SOURCE CONTACT (S):
Name: Abbr. Name: Address: Phone: Web site: E-mail: Contact Person: Phone: E-mail: |
University of Florida GeoPlan Center GeoPlan 431 Architecture PO Box 115706 Gainesville, Florida 32611 |
Name: FLORIDA GEOGRAPHIC DATA LIBRARY Abbr. Name: FGDL Address: Florida Geographic Data Library 431 Architecture Building PO Box 115706 Gainesville, FL 32611-5706 Web site: http://www.fgdl.org Contact FGDL: Technical Support: http://www.fgdl.org/fgdlfeed.html FGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.html FGDL Mailing Lists: http://www.fgdl.org/fgdl-l.html For FGDL Software: http://www.fgdl.org/software.html