Georgianna Strode, Florida Resources and Environmental Analysis Center (FREAC), GIS Researcher & Analyst 20170103 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. Complete 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

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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

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Tallahassee FL 32306 US 850-644-2007 shodge@fsu.edu FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time