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Census Block Group 491600-1 in Baltimore County, Maryland



Population871 (2010), see rank
House Units319, see rank
RaceWhites:62%, Hispanics:5.1%, Blacks:29%, Asians:3.3%, Others:5.6%
Population Density:5,233.98/sq mi, see rank
Median Household Income:$34,917, see rank
Median House Price:$163,400, see rank
Time Zone:Eastern GMT -5:00 with Daylight Saving in the Summer
Land Area:0.17 sq mi, see rank
Water Area:0.00 sq mi (0.00%), see rank
State:Maryland
Area:Baltimore-Towson, MD
County:Baltimore County
City:Parkville
Census Tract:491600
School District:Baltimore County Public Schools
Hot Rankings
Fastest / Slowest Growing Cities in MD
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Most / Least Educated Cities in MD

Block Group 491600-1 Map, Border, and Nearby Locations

Block Group 491600-1 Blocks

MD0054916001000 ParkvilleMD0054916001001 ParkvilleMD0054916001002 ParkvilleMD0054916001003 ParkvilleMD0054916001004 ParkvilleMD0054916001005 ParkvilleMD0054916001006 ParkvilleMD0054916001007 ParkvilleMD0054916001008 ParkvilleMD0054916001009 ParkvilleMD0054916001010 ParkvilleMD0054916001011 ParkvilleMD0054916001012 ParkvilleMD0054916001013 ParkvilleMD0054916001014 ParkvilleMD0054916001015 ParkvilleMD0054916001016 ParkvilleMD0054916001017 ParkvilleMD0054916001018 ParkvilleMD0054916001019 ParkvilleMD0054916001020 ParkvilleMD0054916001021 ParkvilleMD0054916001022 Parkville


*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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