20211012
11520900
1.0
FALSE
Race_State
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_California_Teale_Albers_FtUS
<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/2.8.0'><WKT>PROJCS["NAD_1983_California_Teale_Albers_FtUS",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",-4000000.0],PARAMETER["Central_Meridian",-120.0],PARAMETER["Standard_Parallel_1",34.0],PARAMETER["Standard_Parallel_2",40.5],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["Esri",102600]]</WKT><XOrigin>-55477700</XOrigin><YOrigin>-19081800</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102600</WKID><LatestWKID>102600</LatestWKID></ProjectedCoordinateSystem>
20211012
11521000
20211012
11521000
Esri ArcGIS 12.8.3.29751
Race_State
<span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>This layer shows population broken down by race and Hispanic origin. This is shown by state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. </span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><div style='font-family:inherit;'><br /></div><div style='font-family:inherit;'><div style='font-family:inherit;'><b>Current Vintage</b>: 2015-2019</div><div style='font-family:inherit;'><b>ACS Table(s)</b>: B03002 (Not all lines of this ACS table are available in this feature layer.)</div><div style='font-family:inherit;'><b>Data downloaded from</b>: <a href='https://www.census.gov/data/developers/data-sets.html' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>Census Bureau's API for American Community Survey</a> </div><div style='font-family:inherit;'><b>Date of API call</b>: December 10, 2020</div><div style='font-family:inherit;'><b>National Figures</b>: <a href='https://data.census.gov/cedsci/table?q=B03002&table=B03002&tid=ACSDT5Y2019.B03002' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>data.census.gov</a></div></div></div>
Equity
Layer displaying race demographics for California.
https://livingatlas.arcgis.com/en/home/
This layer may be shared publicly.
File Geodatabase Feature Class
dataset
Esri
10.2.0
0
Simple
FALSE
0
TRUE
FALSE
Race_State
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
STATENS
State GNIS Code
String
8
0
0
GEOID
Geographic Identifier - FIPS Code
String
10
0
0
STUSPS
State FIPS Postal Code
String
2
0
0
NAME
Name
String
100
0
0
ALAND
Area of Land (Square Meters)
Double
8
0
0
AWATER
Area of Water (Square Meters)
Double
8
0
0
B03002_001E
Total Population
Integer
4
0
0
B03002_001M
Total Population - Margin of Error
Double
8
0
0
B03002_003E
White alone, Not Hispanic or Latino Population
Integer
4
0
0
B03002_003M
White alone, Not Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_004E
Black or African American alone, Not Hispanic or Latino Population
Integer
4
0
0
B03002_004M
Black or African American alone, Not Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_005E
American Indian and Alaska Native alone, Not Hispanic or Latino Population
Integer
4
0
0
B03002_005M
American Indian and Alaska Native alone, Not Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_006E
Asian alone, Not Hispanic or Latino Population
Integer
4
0
0
B03002_006M
Asian alone, Not Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_007E
Native Hawaiian and Other Pacific Islander alone, Not Hispanic or Latino Population
Integer
4
0
0
B03002_007M
Native Hawaiian and Other Pacific Islander alone, Not Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_008E
Some Other Race alone, Not Hispanic or Latino Population
Integer
4
0
0
B03002_008M
Some Other Race alone, Not Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_009E
Two or More Races, Not Hispanic or Latino Population
Integer
4
0
0
B03002_009M
Two or More Races, Not Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_012E
Hispanic or Latino Population
Integer
4
0
0
B03002_012M
Hispanic or Latino Population - Margin of Error
Double
8
0
0
B03002_calc_pctNHWhiteE
Percent of Population that is White alone, Non-Hispanic
Double
8
0
0
B03002_calc_pctNHWhiteM
Percent of Population that is White alone, Non-Hispanic - Margin of Error
Double
8
0
0
B03002_calc_pctBlackE
Percent of Population that is Black or African American alone, Non-Hispanic
Double
8
0
0
B03002_calc_pctBlackM
Percent of Population that is Black or African American alone, Non-Hispanic - Margin of Error
Double
8
0
0
B03002_calc_pctAIANE
Percent of Population that is American Indian and Alaska Native alone, Non-Hispanic
Double
8
0
0
B03002_calc_pctAIANM
Percent of Population that is American Indian and Alaska Native alone, Non-Hispanic - Margin of Error
Double
8
0
0
B03002_calc_pctAsianE
Percent of Population that is Asian alone, Non-Hispanic
Double
8
0
0
B03002_calc_pctAsianM
Percent of Population that is Asian alone, Non-Hispanic - Margin of Error
Double
8
0
0
B03002_calc_pctNHOPIE
Percent of Population that is Native Hawaiian and Other Pacific Islander alone, Non-Hispanic
Double
8
0
0
B03002_calc_pctNHOPIM
Percent of Population that is Native Hawaiian and Other Pacific Islander alone, Non-Hispanic - Margin of Error
Double
8
0
0
B03002_calc_pctOtherE
Percent of Population that is Some Other Race alone, Non-Hispanic
Double
8
0
0
B03002_calc_pctOtherM
Percent of Population that is Some Other Race alone, Non-Hispanic - Margin of Error
Double
8
0
0
B03002_calc_pct2OrMoreE
Percent of Population that is 2 or More Races, Non-Hispanic
Double
8
0
0
B03002_calc_pct2OrMoreM
Percent of Population that is 2 or More Races, Non-Hispanic - Margin of Error
Double
8
0
0
B03002_calc_pctHispLatE
Percent of Population that is Hispanic or Latino
Double
8
0
0
B03002_calc_pctHispLatM
Percent of Population that is Hispanic or Latino - Margin of Error
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20211012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