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Census Block Group 101405-4 in Bucks County, Pennsylvania



Population2,306 (2010), see rank
House Units1,037, see rank
RaceWhites:88.9%, Hispanics:5.2%, Blacks:4%, Asians:2.7%, Others:4.3%
Population Density:5,287.93/sq mi, see rank
Median Household Income:$54,056, see rank
Median House Price:$282,100, see rank
Time Zone:Eastern GMT -5:00 with Daylight Saving in the Summer
Land Area:0.44 sq mi, see rank
Water Area:0.00 sq mi (0.00%), see rank
State:Pennsylvania
Area:Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
County:Bucks County
City:Feasterville
Census Tract:101405
School District:Neshaminy School District
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Block Group 101405-4 Map, Border, and Nearby Locations

Block Group 101405-4 Blocks

PA0171014054000 FeastervillePA0171014054001 FeastervillePA0171014054002 FeastervillePA0171014054003 FeastervillePA0171014054004 FeastervillePA0171014054005 FeastervillePA0171014054006 FeastervillePA0171014054007 FeastervillePA0171014054008 FeastervillePA0171014054009 FeastervillePA0171014054010 FeastervillePA0171014054011 FeastervillePA0171014054012 FeastervillePA0171014054013 FeastervillePA0171014054014 FeastervillePA0171014054015 FeastervillePA0171014054016 FeastervillePA0171014054017 FeastervillePA0171014054018 FeastervillePA0171014054019 FeastervillePA0171014054020 FeastervillePA0171014054021 FeastervillePA0171014054022 Feasterville


*A census block group is a geographic area defined by the United States Census Bureau and used for the census. On average, a census block group has around 1,500 residents. Census block groups, as well as census tracts, are more uniformly distributed in terms of the number of residents than cities or zip codes. Also, the census block group and the census tract demographic data are nearly 100% complete vs. less than 70% coverage of demographic data for cities and zip codes. Therefore census block groups and the census tracts are an excellent way to understand locations in a smaller scale, for example understanding the different areas of a large city. Census block groups are smaller than census tracts and can be further divided into census blocks for understanding locations at the block and community level.


 
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