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Census Block Group 030200-2 in Androscoggin County, Maine



Population1,553 (2010), see rank
House Units683, see rank
RaceWhites:96.7%, Hispanics:1.5%, Blacks:0.8%, Asians:0.1%, Others:2.4%
Population Density:1,297.77/sq mi, see rank
Median Household Income:$60,083, see rank
Median House Price:$152,800, see rank
Time Zone:Eastern GMT -5:00 with Daylight Saving in the Summer
Land Area:1.09 sq mi, see rank
Water Area:0.10 sq mi (8.51%), see rank
State:Maine
Area:Lewiston-Auburn, ME
County:Androscoggin County
City:Lisbon Falls
Census Tract:030200
School District:Lisbon
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Block Group 030200-2 Map, Border, and Nearby Locations

Block Group 030200-2 Blocks

ME0010302002000 Lisbon FallsME0010302002001 Lisbon FallsME0010302002002 Lisbon FallsME0010302002003 Lisbon FallsME0010302002004 Lisbon FallsME0010302002005 Lisbon FallsME0010302002006 Lisbon FallsME0010302002007 Lisbon FallsME0010302002008 Lisbon FallsME0010302002009 Lisbon FallsME0010302002010 Lisbon FallsME0010302002011 Lisbon FallsME0010302002012 Lisbon FallsME0010302002013 Lisbon FallsME0010302002014 Lisbon FallsME0010302002015 Lisbon FallsME0010302002016 Lisbon FallsME0010302002017 Lisbon FallsME0010302002018 Lisbon FallsME0010302002020 Lisbon FallsME0010302002021 Lisbon FallsME0010302002022 Lisbon FallsME0010302002023 Lisbon FallsME0010302002024 Lisbon FallsME0010302002025 Lisbon Falls


*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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