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Census Block Group 001809-2 in Greenville County, South Carolina



Population1,630 (2010), see rank
House Units991, see rank
RaceWhites:80.3%, Hispanics:6.4%, Blacks:12.8%, Asians:3.8%, Others:3.1%
Population Density:3,492.69/sq mi, see rank
Median Household Income:$38,560, see rank
Median House Price:$163,700, see rank
Time Zone:Eastern GMT -5:00 with Daylight Saving in the Summer
Land Area:0.47 sq mi, see rank
Water Area:0.00 sq mi (0.00%), see rank
State:South Carolina
Area:Greenville-Mauldin-Easley, SC
County:Greenville County
Census Tract:001809
School District:Greenville County School District
Hot Rankings
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Most / Least Educated Cities in SC

Block Group 001809-2 Map, Border, and Nearby Locations

Block Group 001809-2 Blocks

SC0450018092000 Wade HamptonSC0450018092001 Wade HamptonSC0450018092002 Wade HamptonSC0450018092003 Wade HamptonSC0450018092004 Wade HamptonSC0450018092005 Wade HamptonSC0450018092006 Wade HamptonSC0450018092007 Wade HamptonSC0450018092008 Wade HamptonSC0450018092009 Wade HamptonSC0450018092010 Wade HamptonSC0450018092011 Wade HamptonSC0450018092012 GreenvilleSC0450018092013 GreenvilleSC0450018092014 Wade HamptonSC0450018092015 Wade HamptonSC0450018092016 Wade HamptonSC0450018092017 Wade HamptonSC0450018092018 GreenvilleSC0450018092019 GreenvilleSC0450018092020 Greenville


*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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