TIGER: US Census Block Groups (BG) 2010

TIGER/2010/BG
Dataset Availability
2010-01-01T00:00:00Z–2010-01-02T00:00:00Z
Dataset Provider
Earth Engine Snippet
FeatureCollection
ee.FeatureCollection("TIGER/2010/BG")
FeatureView
ui.Map.FeatureViewLayer("TIGER/2010/BG_FeatureView")
Tags
census city infrastructure-boundaries neighborhood table tiger urban us

Description

The United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2010 census block groups , which is a cluster of blocks within the same census tract that have the same first digit of their four-digit census block number. There are just over 300,000 polygon features covering the United States, the District of Columbia, Puerto Rico, and the Island areas.

For full technical details on all TIGER 2010 products, see the TIGER technical documentation .

Table Schema

Table Schema

Name Type Description
ALAND10
DOUBLE

Land Area (square meters)

AWATER10
DOUBLE

Water Area (square meters)

BLKGRPCE10
STRING

Block Group Code

COUNTYFP10
STRING

County FIPS Code

FUNCSTAT10
STRING

Functional Status (S = Statistical)

GEOID10
STRING

Unique Identifier of Summary Level, Characteristic Iteration, US, State, County, Tract, Block Group Code

INTPTLAT10
DOUBLE

Internal Point Latitude

INTPTLON10
DOUBLE

Internal Point Longitude

MTFCC10
STRING

MAF/TIGER Feature Classification Code

NAMELSAD10
STRING

Full Name

STATEFP10
STRING

State FIPS Code

TRACTCE10
STRING

Census Tract Code

Terms of Use

Terms of Use

The U.S. Census Bureau offers some of its public data in machine-readable format via an Application Programming Interface (API). All of the content, documentation, code and related materials made available to you through the API are subject to these terms and conditions .

Citations

Citations:
  • For the creation of any reports, publications, new data sets, derived products, or services resulting from the data set, users should cite the US Census Bureau .

Explore with Earth Engine

Code Editor (JavaScript)

 var 
  
 dataset 
  
 = 
  
 ee 
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 FeatureCollection 
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 'TIGER/2010/BG' 
 ); 
 var 
  
 visParams 
  
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 { 
  
 min 
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 0 
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 max 
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 [ 
 'd8d9d9' 
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 'aaaaaa' 
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 'b6dfe9' 
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 '2ea3f2' 
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 '0c71c3' 
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Open in Code Editor
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