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Census Block Group 201300-2 in Venango County, Pennsylvania



Population990 (2010), see rank
House Units470, see rank
RaceWhites:98%, Hispanics:1%, Blacks:0.4%, Asians:0.5%, Others:1.1%
Population Density:441.78/sq mi, see rank
Median Household Income:$55,000, see rank
Median House Price:$97,300, see rank
Time Zone:Eastern GMT -5:00 with Daylight Saving in the Summer
Land Area:2.24 sq mi, see rank
Water Area:0.00 sq mi (0.00%), see rank
State:Pennsylvania
Area:Oil City, PA
County:Venango County
Census Tract:201300
School District:Cranberry Area School District
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Block Group 201300-2 Map, Border, and Nearby Locations

Block Group 201300-2 Blocks

PA1212013002000 Woodland HeightsPA1212013002001 Woodland HeightsPA1212013002002 Woodland HeightsPA1212013002003 Woodland HeightsPA1212013002004 Woodland HeightsPA1212013002005 Woodland HeightsPA1212013002006 Woodland HeightsPA1212013002007 Woodland HeightsPA1212013002008 Woodland HeightsPA1212013002009 Woodland HeightsPA1212013002010 Woodland HeightsPA1212013002011 Woodland HeightsPA1212013002012 Woodland HeightsPA1212013002013 Woodland HeightsPA1212013002014 SenecaPA1212013002015 FranklinPA1212013002016 Woodland HeightsPA1212013002017 Woodland HeightsPA1212013002018 SenecaPA1212013002019 SenecaPA1212013002020 Woodland HeightsPA1212013002021 SenecaPA1212013002022 Franklin


*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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