FLORIDA GEOGRAPHIC DATA LIBRARY DOCUMENTATION
VERSION 2006

TITLE: HISTORIC AND PROJECTED POPULATIONS OF FLORIDA COUNTIES

Geodataset Name:       CNTPOP_2004
Geodataset Type:       SHAPEFILE
Geodataset Feature:    Polygon
Feature Count:         67
GENERAL DESCRIPTION:
This dataset contains the 2004 Florida Statistical Abstract Population Profile by county for all Florida counties. Included in the Population Profile are: Components of Change - components of population change, April 1, 2000 to April 1, 2003; County Density - land area, and population density, April 1, 2003; Projections - estimates, projections specified years April 1, 2010 through 2030; Age - projections by age group, April 1, 2010 and April 1, 2030. In addition to this, this dataset also contains historical population data for each county dating back to 1830.
DATA SOURCE(S):                    GeoPlan Center, BEBR, and USCB
SCALE OF ORIGINAL SOURCE MAPS:     100,000
DATE OF AUTOMATION OF SOURCE:      20040000
GEODATASET EXTENT:                 State of Florida

FEATURE ATTRIBUTE TABLES:

Datafile Name: CNTPOP_2004.DBF
ITEM NAME WIDTH TYPE N. DECIMAL DEGREES
OBJECTID
4 OID ---
NAME
20 String ---
FIRST_FIPS
3 String ---
POP_1830
12 Number ---
POP_1840
12 Number ---
POP_1850
12 Number ---
POP_1860
12 Number ---
POP_1870
12 Number ---
POP_1880
12 Number ---
POP_1890
12 Number ---
POP_1900
12 Number ---
POP_1910
12 Number ---
POP_1920
12 Number ---
POP_1930
12 Number ---
POP_1940
12 Number ---
POP_1950
12 Number ---
POP_1960
12 Number ---
POP_1970
12 Number ---
POP_1980
12 Number ---
POP_1990
12 Number ---
POP_2000
12 Number ---
POP_2003
12 Number ---
CHANGE
12 Number ---
NATURAL_NO
14 Number ---
NATURAL_PC
18 Number 1
NET_MIG_NO
14 Number ---
NET_MIG_PC
18 Number 1
LAND_SQM
15 Number 1
PP_SQM
9 Number ---
LOW_2010
9 Number ---
MED_2010
9 Number ---
HIGH_2010
9 Number ---
LOW_2015
9 Number ---
MED_2015
9 Number ---
HIGH_2015
9 Number ---
LOW_2020
9 Number ---
MED_2020
9 Number ---
HIGH_2020
9 Number ---
LOW_2025
9 Number ---
MED_2025
9 Number ---
HIGH_2025
9 Number ---
LOW_2030
9 Number ---
MED_2030
9 Number ---
HIGH_2030
9 Number ---
UND18_2010
12 Number ---
A1864_2010
11 Number ---
OVR65_2010
12 Number ---
UND18_2030
12 Number ---
A1864_2030
11 Number ---
OVR65_2030
12 Number ---
DESCRIPT
20 String ---
FGDLAQDATE
8 Date ---
AUTOID
4 Number ---
SHAPE
4 Geometry ---
SHAPE.AREA
0 Double ---
SHAPE.LEN
0 Double ---

FEATURE ATTRIBUTE TABLES CODES AND VALUES:

Item
Item Description
OBJECTID Internal feature number.

NAME County Name

FIRST_FIPS Federal Informational Processing Standard Code. Unique county code used by the Census Bureau

POP_1830 Total county population in 1830

POP_1840 Total county population in 1840

POP_1850 Total county population in 1850

POP_1860 Total county population in 1860

POP_1870 Total county population in 1870

POP_1880 Total county population in 1880

POP_1890 Total county population in 1890

POP_1900 Total county population in 1900

POP_1910 Total county population in 1910

POP_1920 Total county population in 1920

POP_1930 Total county population in 1930

POP_1940 Total county population in 1940

POP_1950 Total county population in 1950

POP_1960 Total county population in 1960

POP_1970 Total county population in 1970

POP_1980 Total county population in 1980

POP_1990 Total county population in 1990

POP_2000 Total county population in 2000

POP_2003 Total county population in 2003

CHANGE Total change in population between 2000 and 2003 for a County.

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.

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.

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.

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.

LAND_SQM The land area in square miles for a County.

PP_SQM The population per square mile for a County.

LOW_2010 The low population estimate for the year 2010 for a County.

MED_2010 The medium population estimate for the year 2010 for a County.

HIGH_2010 The high population estimate for the year 2010 for a County.

LOW_2015 The low population estimate for the year 2015 for a County.

MED_2015 The medium population estimate for the year 2015 for a County.

HIGH_2015 The high population estimate for the year 2015 for a County.

LOW_2020 The low population estimate for the year 2020 for a County.

MED_2020 The medium population estimate for the year 2020 for a County.

HIGH_2020 The high population estimate for the year 2020 for a County.

LOW_2025 The low population estimate for the year 2025 for a County.

MED_2025 The medium population estimate for the year 2025 for a County.

HIGH_2025 The high population estimate for the year 2025 for a County.

LOW_2030 The low population estimate for the year 2030 for a County.

MED_2030 The medium population estimate for the year 2030 for a County.

HIGH_2030 The high population estimate for the year 2030 for a County.

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.

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.

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.

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.

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.

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.

DESCRIPT Based on NAME (Name of the County).

FGDLAQDATE The date FGDL acquired the data from the Source.

AUTOID GeoPlan Center internal feature number.

SHAPE Feature geometry.

SHAPE.AREA Area

SHAPE.LEN Perimeter


USER NOTES:
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.
Components of Change information is derived from the following table.

Table 1.72. COMPONENTS OF CHANGE: COMPONENTS OF 
POPULATION CHANGE IN THE COUNTIES OF FLORIDA, 
APRIL 1, 2000 TO APRIL 1, 2003

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.



Projections information is derived from the following table.

Table 1.41. PROJECTIONS: ESTIMATES, APRIL 1, 2003, AND 
PROJECTIONS SPECIFIED YEARS APRIL 1, 2010 THROUGH 2030, 
IN THE COUNTIES OF FLORIDA

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.



County Density information is derived from the following table.

Table 1.14. COUNTY RANKINGS AND DENSITY: POPULATION 
ESTIMATES, RANK PERCENTAGE DISTRIBUTION, LAND AREA, 
AND DENSITY IN THE COUNTIES OF FLORIDA, APRIL 1, 2003

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. 



Age Projections information is derived from the following table.

Table 1.54. AGE: PROJECTIONS BY AGE GROUP IN THE COUNTIES
OF FLORIDA, APRIL 1, 2010 AND 2030

Source: University of Florida, Bureau of Economic and Business 
Research, Population Program, Florida Population Studies, 
July 2004, Volume 37, No. 3, Bulletin No. 139.

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

REFERENCES:
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, 
April 1, 2003. Census data from U.S. Bureau of the Census.

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: 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

DATA LINEAGE SUMMARY:
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

The county boundaries data layer was acquired from the Florida Department of Environmental Protection GIS Division. Process Date: 20010000
Corrected Sumter/Hernando border and Polk county boundary. Process Date: 20040900
The County boundary TIGER/Line file (cntbnd.shp) was enhanced at the Geoplan Center by the addition/standardization of attribute data from the two United States Census Bureau sources. GeoPlan, during the QA/QC process included the following aspects: -Reprojected data to FGDL Albers HPGN -Removed the [OBJECTID], [AREA], [PERIMETER], [FGDLCODE], [AUTOID], [SHAPE_AREA], and [SHAPE_LEN] fields from the attribute table. The field [FIPS] was then renamed [FIRST_FIPS]. GeoPlan then added the following fields: [1830], [1840], [1850], [1860], [1870], [1880], [1890], [1900], [1910], [1920], [1930], [1940], [1950], [1960], [1970], [1980], [1990], [2000]. These fields were then populated with the historical population data for each county. Present day Bradford County was assigned the 1860 population data originally assigned to New River County. Also, present day Brevard County was assigned the 1850 population data originally assigned to St. Lucie County. Additionally, the 1830 population data originally assigned to Santa Rosa County was assigned to present day Santa Rosa County, although present day Santa Rosa County was created in 1842. Process Date: 20061027
The County boundary TIGER/Line file (cntbnd.shp) was enhanced at the Geoplan Center by the addition/standardization of attribute data from the 2004 Florida Statistical Abstract Population profile. The population projection attribute data was acquired from the Bureau of Economic and Business Research (BEBR): http://www.bebr.ufl.edu GeoPlan, during the QA/QC process included the following aspects: -Extracted population projection attribute data from the 2004 Florida Statistical Abstract Population profile. The attribute data was then linked to TIGER/Line County boundary file. -Added a DESCRIPT field based on NAME (County name). -Added FGDLAQDATE based on the date FGDL acquired the BEBR data. Process Date: 20061027
MAP PROJECTION PARAMETERS:

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:
Bureau of Economic and Business Research (BEBR)
BEBR
221 Matherly Hall, Post Office Box 117145
Gainesville, Florida
32611-7145
(352) 392-0171, ext. 219

http://www.bebr.ufl.edu info@bebr.ufl.edu

FGDL CONTACT:
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