20150304 13263200 1.0 FALSE SEA_Demo_20_24_Population 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_Albers <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>PROJCS["NAD_1983_Albers",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-96.0],PARAMETER["Standard_Parallel_1",29.5],PARAMETER["Standard_Parallel_2",45.5],PARAMETER["Latitude_Of_Origin",37.5],UNIT["Meter",1.0]]</WKT><XOrigin>-16901100</XOrigin><YOrigin>-8579000</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 20260414 12002100 20260414 12002100 Esri ArcGIS 13.6.0.59527 SEA_Demo_20_24_Population Enterprise Geodatabase Feature Class dataset 0 Simple FALSE 0 TRUE FALSE SEA_Demo_20_24_Population Feature Class 0 OBJECTID OBJECTID_1 OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. sea_num seacodes Integer 4 10 0 State_Abbr State_Abbr String 50 0 0 SEA_Name SEA Name String 100 0 0 StateFIPSN StateFIPSN SmallInteger 2 5 0 t070_c00002_b_a999_stat_ Age under 18 (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00002_b_a999_meta_ Age under 18 (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00002_f_a999_stat_ Age under 18 (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00002_f_a999_meta_ Age under 18 (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00002_m_a999_stat_ Age under 18 (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00002_m_a999_meta_ Age under 18 (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00102_b_a999_stat_ Age 18-39 (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00102_b_a999_meta_ Age 18-39 (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00102_f_a999_stat_ Age 18-39 (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00102_f_a999_meta_ Age 18-39 (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00102_m_a999_stat_ Age 18-39 (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00102_m_a999_meta_ Age 18-39 (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00103_b_a999_stat_ Age 40-64 (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00103_b_a999_meta_ Age 40-64 (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00103_f_a999_stat_ Age 40-64 (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00103_f_a999_meta_ Age 40-64 (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00103_m_a999_stat_ Age 40-64 (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00103_m_a999_meta_ Age 40-64 (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00028_b_a999_stat_ Age 40 and Over (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00028_b_a999_meta_ Age 40 and Over (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00028_f_a999_stat_ Age 40 and Over (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00028_f_a999_meta_ Age 40 and Over (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00028_m_a999_stat_ Age 40 and Over (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00028_m_a999_meta_ Age 40 and Over (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00029_b_a999_stat_ Age 50 and Over (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00029_b_a999_meta_ Age 50 and Over (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00029_f_a999_stat_ Age 50 and Over (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00029_f_a999_meta_ Age 50 and Over (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00029_m_a999_stat_ Age 50 and Over (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00029_m_a999_meta_ Age 50 and Over (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00003_b_a999_stat_ Age 65 and Over (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00003_b_a999_meta_ Age 65 and Over (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00003_f_a999_stat_ Age 65 and Over (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00003_f_a999_meta_ Age 65 and Over (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00003_m_a999_stat_ Age 65 and Over (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00003_m_a999_meta_ Age 65 and Over (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00023_b_a001_stat_ American Indian/Alaska Native (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00023_b_a001_meta_ American Indian/Alaska Native (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00023_f_a001_stat_ American Indian/Alaska Native (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00023_f_a001_meta_ American Indian/Alaska Native (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00023_m_a001_stat_ American Indian/Alaska Native (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00023_m_a001_meta_ American Indian/Alaska Native (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00024_b_a001_stat_ Asian/Pacific Islander (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00024_b_a001_meta_ Asian/Pacific Islander (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00024_f_a001_stat_ Asian/Pacific Islander (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00024_f_a001_meta_ Asian/Pacific Islander (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00024_m_a001_stat_ Asian/Pacific Islander (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00024_m_a001_meta_ Asian/Pacific Islander (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00022_b_a001_stat_ Black (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00022_b_a001_meta_ Black (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00022_f_a001_stat_ Black (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00022_f_a001_meta_ Black (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00022_m_a001_stat_ Black (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00022_m_a001_meta_ Black (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00014_b_a001_stat_ Foreign Born (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00014_b_a001_meta_ Foreign Born (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00014_f_a001_stat_ Foreign Born (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00014_f_a001_meta_ Foreign Born (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00014_m_a001_stat_ Foreign Born (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00014_m_a001_meta_ Foreign Born (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00026_b_a001_stat_ Hispanic (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00026_b_a001_meta_ Hispanic (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00026_f_a001_stat_ Hispanic (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00026_f_a001_meta_ Hispanic (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00026_m_a001_stat_ Hispanic (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00026_m_a001_meta_ Hispanic (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00101_b_a001_stat_ Non-Hispanic (Origin Recode (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00101_b_a001_meta_ Non-Hispanic (Origin Recode (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00101_f_a001_stat_ Non-Hispanic (Origin Recode (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00101_f_a001_meta_ Non-Hispanic (Origin Recode (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00101_m_a001_stat_ Non-Hispanic (Origin Recode (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00101_m_a001_meta_ Non-Hispanic (Origin Recode (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00025_b_a001_stat_ White (Both Sexes - 2020 to 2024) [Percent] Double 8 38 8 t070_c00025_b_a001_meta_ White (Both Sexes - 2020 to 2024) [Total Count] String 45 0 0 t070_c00025_f_a001_stat_ White (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00025_f_a001_meta_ White (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00025_m_a001_stat_ White (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00025_m_a001_meta_ White (Males - 2020 to 2024) [Total Count] String 45 0 0 t070_c00105_f_a001_stat_ Sex (Females - 2020 to 2024) [Percent] Double 8 38 8 t070_c00105_f_a001_meta_ Sex (Females - 2020 to 2024) [Total Count] String 45 0 0 t070_c00105_m_a001_stat_ Sex (Males - 2020 to 2024) [Percent] Double 8 38 8 t070_c00105_m_a001_meta_ Sex (Males - 2020 to 2024) [Total Count] String 45 0 0 SEA_Title SEA Title String 255 0 0 st_area(shape) st_area(shape) Double 0 0 0 st_length(shape) st_length(shape) Double 0 0 0 20260414