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Census Block Group 021201-2 in Ottawa County, Michigan



Population1,472 (2010), see rank
House Units542, see rank
RaceWhites:93.5%, Hispanics:5.4%, Blacks:0.3%, Asians:0.6%, Others:5.6%
Population Density:1,217.90/sq mi, see rank
Median Household Income:$42,083, see rank
Median House Price:$33,800, see rank
Time Zone:Eastern GMT -5:00 with Daylight Saving in the Summer
Land Area:1.18 sq mi, see rank
Water Area:0.03 sq mi (2.57%), see rank
State:Michigan
Area:Holland-Grand Haven, MI
County:Ottawa County
City:Grand Haven
Census Tract:021201
School District:Grand Haven Area Public Schools
Hot Rankings
Fastest / Slowest Growing Cities in MI
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Most / Least Educated Cities in MI

Block Group 021201-2 Map, Border, and Nearby Locations

Block Group 021201-2 Blocks

MI1390212012000 Grand HavenMI1390212012001 Grand HavenMI1390212012002 Grand HavenMI1390212012003 Grand HavenMI1390212012004 Grand HavenMI1390212012005 Grand HavenMI1390212012006 Grand HavenMI1390212012007 Grand HavenMI1390212012008 Grand HavenMI1390212012009 Grand HavenMI1390212012010 Grand HavenMI1390212012011 Grand HavenMI1390212012012 Grand HavenMI1390212012013 Grand HavenMI1390212012015 Grand HavenMI1390212012016 Grand HavenMI1390212012017 Grand HavenMI1390212012018 Grand HavenMI1390212012019 Grand HavenMI1390212012020 Grand HavenMI1390212012021 Grand Haven


*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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