20210224
08290700
1.0
FALSE
T2020_Census_Tracts_El_Dorado_County
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
<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/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_California_II_FIPS_0402_Feet",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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-122.0],PARAMETER["Standard_Parallel_1",38.33333333333334],PARAMETER["Standard_Parallel_2",39.83333333333334],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2226]]</WKT><XOrigin>-115211800</XOrigin><YOrigin>-93821500</YOrigin><XYScale>1600</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.02</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102642</WKID><LatestWKID>2226</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_StatePlane_California_II_FIPS_0402_Feet
20221121
10165900
20221213
9584000
150000000
5000
ItemDescription
Esri ArcGIS 13.0.2.36056
2020 Census Tracts El Dorado County
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Decennial Census 2020 includes tabulations of housing units, total population and adult population by race and by Hispanic or Latino origin, and total group quarters population. Data are summary statistics for population and housing from a "100% count." The Census Bureau attempts to survey or interview all known addresses. Geographies nationwide can be obtained from Census, with disaggregate geographic detail down to Block-level.</SPAN></P><P><SPAN>The Decennial Census PL94-171 reports summary statistics on population and housing for use in redistricting. The Census Bureau attempts to survey or interview all known addresses. Still, the data are subject to error. The errors derive from survey data collection (response errors, field follow-up for missing cases) and processing by the Census Bureau (geolocation of population and housing, data coding, compilation processes, and imputation of missing cases).</SPAN></P></DIV></DIV></DIV>
U.S. Census Bureau
Census
2020
Tract
demographic
population
SACOG
dem2020
2020 Census Tract Demographics for El Dorado County. For use with the Census MAF/TIGER database, the Census data site, or with other statistical applications.
2020 Census Tracts for El Dorado County
This feature class contains Decennial Census P.L. 94-171 Redistricting Data.
Census tracts are an aggregation level above block groups. Tracts nest within counties.
Block groups are an aggregation of blocks; they are the the next level up in the census geography hierarchy.
Blocks are the smallest geographic unit available and are the basis for all other census geographic tabulations.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None</SPAN></P></DIV></DIV></DIV>
Enterprise Geodatabase Feature Class
0.000
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
T2020_Census_Tracts_El_Dorado_County
Feature Class
0
OBJECTID
OBJECTID
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.
FILEID
File Identification
String
255
0
0
SUMLEV
Summary Level
Double
8
38
8
GEOCODE
Geographic Code Identifier
String
255
0
0
STATE
State (FIPS)
Double
8
38
8
COUNTY
County (FIPS)
Double
8
38
8
COUNTYCC
FIPS County Class Code
String
255
0
0
COUNTYNS
County (NS)
Double
8
38
8
PLACE
Place (FIPS)
Double
8
38
8
PLACECC
FIPS Place Class Code
String
255
0
0
PLACENS
Place (NS)
Double
8
38
8
TRACT
Census Tract
Double
8
38
8
NAME
Tract Name
String
7
0
0
NAMELSAD
Tract Label
String
20
0
0
CBSA
Metropolitan Statistical Area/Micropolitan Statistical Area
Double
8
38
8
MEMI
Metropolitan/Micropolitan Indicator
Double
8
38
8
CSA
Combined Statistical Area
Double
8
38
8
UA
Urban Area
String
255
0
0
UATYPE
Urban Area Type
String
255
0
0
UR
Urban/Rural
String
255
0
0
ZCTA
ZIP Code Tabulation Area (5-Digit)
Double
8
38
8
PUMA
Public Use Microdata Area
String
255
0
0
POP100
Population Count (100%)
Double
8
38
8
HU100
Housing Unit Count (100%)
Double
8
38
8
PopulationP1
Total Population
Double
8
38
8
Population18_P3
Total population 18 years and over
Double
8
38
8
HispanicOrigin
Total__Hispanic or Latino
Double
8
38
8
NotHispanic
Total__Not Hispanic or Latino
Double
8
38
8
NH_Wht
Total__Not Hispanic or Latino__Population of one race__White alone
Double
8
38
8
NH_Blk
Total__Not Hispanic or Latino__Population of one race__Black or African American alone
Double
8
38
8
NH_Ind
Total__Not Hispanic or Latino__Population of one race__American Indian and Alaska Native alone
Double
8
38
8
NH_Asn
Total__Not Hispanic or Latino__Population of one race__Asian alone
Double
8
38
8
NH_Hwn
Total__Not Hispanic or Latino__Population of one race__Native Hawaiian and Other Pacific Islander alone
Double
8
38
8
NH_Oth
Total__Not Hispanic or Latino__Population of one race__Some Other Race Alone
Double
8
38
8
NH_2
Total__Not Hispanic or Latino__Population of two or more races
Double
8
38
8
Housing_Units
Total__Housing Units
Double
8
38
8
HU_Occupied
Total__Occupied Housing Units
Double
8
38
8
HU_Vacant
Total__Vacant Housing Units
Double
8
38
8
GQ_Institutional_Pop
Total__Institutionalized population
Double
8
38
8
GQ_Inst_CFAdult
Total__Institutionalized population__Correctional facilities for adults
Double
8
38
8
GQ_Inst_Juvenile
Total__Institutionalized population__Juvenile facilities
Double
8
38
8
GQ_Inst_Nursing
Total__Institutionalized population__Nursing facilities/Skilled-nursing facilities
Double
8
38
8
GQ_Inst_Oth
Total__Institutionalized population__Other institutional facilities
Double
8
38
8
GQ_NonInst_Pop
Total__Noninstitutionalized population
Double
8
38
8
GQ_NonInst_Student
Total__Noninstitutionalized population__College/University student housing
Double
8
38
8
GQ_NonInst_Military
Total__Noninstitutionalized population__Military quarters
Double
8
38
8
GQ_NonInst_Oth
Total__Noninstitutionalized population__Other noninstitutional facilities
Double
8
38
8
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20221213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