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Census Block Group 151307-2 in Sonoma County, California



Population1,020 (2010), see rank
House Units368, see rank
RaceWhites:82.5%, Hispanics:15.3%, Blacks:1%, Asians:5.5%, Others:11%
Population Density:969.23/sq mi, see rank
Median Household Income:$82,841, see rank
Median House Price:$384,800, see rank
Time Zone:Pacific GMT -8:00 with Daylight Saving in the Summer
Land Area:1.05 sq mi, see rank
Water Area:0.00 sq mi (0.00%), see rank
State:California
Area:Santa Rosa-Petaluma, CA
County:Sonoma County
Census Tract:151307
School District:Bellevue Union Elementary School District
Santa Rosa High School District
Cotati-Rohnert Park Unified School District
see rank
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Block Group 151307-2 Map, Border, and Nearby Locations

Block Group 151307-2 Blocks

CA0971513072000 Santa RosaCA0971513072001 Santa RosaCA0971513072002 Santa RosaCA0971513072003 Santa RosaCA0971513072004 Rohnert ParkCA0971513072005 Santa RosaCA0971513072006 Rohnert ParkCA0971513072007 Rohnert ParkCA0971513072008 Rohnert ParkCA0971513072009 Rohnert ParkCA0971513072010 Rohnert ParkCA0971513072011 Rohnert ParkCA0971513072012 Rohnert ParkCA0971513072013 Rohnert ParkCA0971513072014 Rohnert ParkCA0971513072015 Rohnert ParkCA0971513072016 Rohnert ParkCA0971513072017 Santa RosaCA0971513072018 Rohnert ParkCA0971513072019 Rohnert ParkCA0971513072020 Rohnert Park


*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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