Georgianna Strode, Florida Resources and Environmental Analysis Center (FREAC), GIS Researcher & Analyst
20170103
Florida 2010 Dasymetric Population Data in 1-km U.S. National Grid format
vector digital data
Accurate population estimates are critical in many fields of study, including emergency management, healthcare, crime , planning and environmental monitoring. The Census is a common data source yet it presents population as evenly distributed across areas, even in lakes and streams. Dasymetric population techniques present a more realistic view of population distribution by combining census data with additional information such as night‐time lights, land cover, address points, electricity hookups, and property tax information. Dasymetric methods date from the 1980s and have undergone rigorous testing and are unquestionably considered more accurate than non‐dasymetric estimation methods.Cadastral‐based Dasymetric Techniques: The high resolution and level of detail in cadastral (taxlot) data make it well‐suited for dasymetric estimations. Each individual property record contains information collected by the county property appraiser that can help predict the degree of habitation on the property.
Our Method: We adapt Maantay’s (2007) urban formula to accommodate challenges in Florida’s landscape such as large land tracts, group living, and rurality (Strode, Mesev, Maantay 2018). Our method performs over 1 billion calcualtions resulting in an estimated population count for each of Florida’s 9 million property parcels. This GIS data is ready for visualization and analysis.
Benefits of a Grid: Aggregating individual parcel population estimates to a grid system has several advantages. The uniform size and shape facilitates visualization, analysis, and spatial statistics. Density is preserved, making it easier to detect small areas with high values that might otherwise be overlooked. The original cadastral data is bulky and best used for small geographic areas. By contrast, gridded data is lightweight, uniform, and easy to manage even at the state level. The U.S. National Grid system was selected because it is a national standard and can be understood by those familiar with the system.
Accurate population data are important for many fields of study. Population data are distributed from the Bureau of the Census in a choropleth format using polygons of varying sizes and shapes that can change over time. The irregular boundaries make it difficult for researchers to accurately view, analyze, and archive population data. This research reformats Census data into a1-kilometer grid in the standardized U.S. National Grid (USNG) format. The Census data are first combined dasymetrically with Florida Department of Revenue cadastral data using a variation of Maantay's 2007 formula which calculates an estimated population for each land parcel in Florida using information from the property appraiser. The data are then aggregated to the USNG grid system.
http://fl-usng-gis.org/population.html
Population estimates use real numbers. (Similar to the Census data where the United States has an estimated 2.58 people per household -- https://www.census.gov/prod/cen2010/briefs/c2010br-14.pdf)
20100101
20101231
2010 census.
Unknown
-88.054476
-79.964997
31.635194
24.400580
ISO 19115 Topic Categories
planningCadastre
None
population
census
dasymetric
cadastral
U.S. National Grid
USNG
None
Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/ You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. No warranty provided.
To cite this data: FREAC (2017). Florida 2010 high-resolution population estimates [GIS Shapefile]. Tallahassee: Florida Resources and Environmental Analysis Center, Florida State University.
Georgianna Strode
Florida Resources and Environmental Analysis Center (FREAC)
Florida State University
Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552
hardDisk
Census 2010
hardDisk
Census 2010 Group Quarters
hardDisk
2011 Florida Department of Revenue Cadastral database
Vector
GT-polygon composed of chains
363506
8.983152841195215e-009
8.983152841195215e-009
Decimal Degrees
D WGS 1984
WGS 1984
6378137.0
298.257223563
Population2010
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
X_LWRLFT
Internal measurement for lower left of X value for grid cell. Not needed for population data.
http://usngcenter.org/; https://www.fgdc.gov/usng/how-to-read-usng/index_html
Y_LWRLFT
Internal measurement for lower left of Y value for grid cell. Not needed for population data.
http://usngcenter.org/; https://www.fgdc.gov/usng/how-to-read-usng/index_html
GRID100K
Identifies to 100k
http://usngcenter.org/; https://www.fgdc.gov/usng/how-to-read-usng/index_html
GRID10K
Identifies to 10k
http://usngcenter.org/; https://www.fgdc.gov/usng/how-to-read-usng/index_html
GRID1000M
Identifies to 1000m
http://usngcenter.org/; https://www.fgdc.gov/usng/how-to-read-usng/index_html
LABEL
This is the main part of the USNG identifier for a 1-kilometer scale. The first 3 characters of the label, the Grid Zone Designator (GZD), has been omitted as it is not needed at this scale. For grids located in UTM Zone 16, the GZD is "16R" and it is "17R" for grids in UTM zone 17. The Label field is unique within zones 16 and 17.
http://usngcenter.org/; https://www.fgdc.gov/usng/how-to-read-usng/index_html
Shape_Length
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
TOTAL_POP
2010 total population counts.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
TWO
Total count of persons belonging to two or more races.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_TWO
Percentage of persons belonging to two or more races
http://www.census.gov/prod/cen2010/doc/sf1.pdf
PACIFIC
Total count of persons belonging to a Pacific race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_PACIFIC
Percentage of persons belonging to a race of Pacific origin.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
OTHER
Total count of persons belonging to other race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_OTHER
Percentage of persons belonging to other race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
BLACK
Total count of persons belonging to Black race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_BLACK
Percentage of persons belonging to Black race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
ASIAN
Total count of persons belonging to Asian race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_ASIAN
Percentage of persons belonging to Asian race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
WHITE
Total count of persons belonging to White race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_WHITE
Percentage of persons belonging to White race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
NATIVE
Total count of persons belonging to Native race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_NATIVE
Percentage of persons belonging to Native race.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
AG_60PLUS
Total count of persons age 60 and over.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_AG_60PLUS
Percentage of persons age 60 and over.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
AG_UNDER5
Total count of persons age 5 and under.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_AG_UNDER5
Percentage of persons age 5 and under.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
AG_75PLUS
Total count of persons age 75 and over.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_AG_75PLUS
Percentage of persons age 75 and over.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
AG_40_TO_5
Total count of persons age 40 to 59.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_AG_40_TO_5
Percentage of persons age 40 to 59.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
AG_18_TO_2
Total count of persons age 18 to 24.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_AG_18_TO_2
Percentage of persons age 18 to 24.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
AG_5_TO_17
Total count of persons age 5 to 17,
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_AG_5_TO_17
Percentage of persons age 5 to 17.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
AG_25_TO_3
Total count of persons age 25 to 39.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
P_AG_25_TO_3
Percentage of persons age 25 to 39.
http://www.census.gov/prod/cen2010/doc/sf1.pdf
20170104
Florida Resources and Environmental Analysis Center (FREAC)
Georgianna Strode
GIS Researcher & Analyst
mailing and physical
UCC 6140
Tallahassee
FL
32306
US
850-644-2007
gstrode@fsu.edu
Florida Resources and Environmental Analysis Center (FREAC)
Stephen Hodge
Director Florida Resources and Environmental Analysis Center (FREAC)
mailing and physical
UCC 6140
Tallahassee
FL
32306
US
850-644-2007
shodge@fsu.edu
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time