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Census Block Group 208302-2 in Montgomery County, Pennsylvania



Population1,708 (2010), see rank
House Units609, see rank
RaceWhites:94.3%, Hispanics:1.9%, Blacks:0.7%, Asians:4%, Others:1%
Population Density:560.40/sq mi, see rank
Median Household Income:$102,063, see rank
Median House Price:$332,700, see rank
Time Zone:Eastern GMT -5:00 with Daylight Saving in the Summer
Land Area:3.05 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:Montgomery County
Census Tract:208302
School District:Boyertown Area School District
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Block Group 208302-2 Map, Border, and Nearby Locations

Block Group 208302-2 Blocks

PA0912083022000 GilbertsvillePA0912083022001 GilbertsvillePA0912083022002 GilbertsvillePA0912083022003 GilbertsvillePA0912083022004 GilbertsvillePA0912083022005 PerkiomenvillePA0912083022006 PerkiomenvillePA0912083022007 GilbertsvillePA0912083022008 GilbertsvillePA0912083022009 GilbertsvillePA0912083022010 GilbertsvillePA0912083022011 GilbertsvillePA0912083022012 GilbertsvillePA0912083022013 PottstownPA0912083022014 PottstownPA0912083022015 GilbertsvillePA0912083022016 GilbertsvillePA0912083022017 PottstownPA0912083022018 SchwenksvillePA0912083022019 SchwenksvillePA0912083022020 PottstownPA0912083022021 PottstownPA0912083022022 Pottstown


*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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