20160330 09410800 1.0 TRUE Frequency of Baltimore Sewer Overflows (2011-2016), exported from the MDE website and geocoded in ArcGIS. Density calculated as events per km². SSO Sewer Overflow Baltimore Density Frequency of Baltimore Sewer Overflows (2011-2016) Chesapeake Bay Foundation (2016) Baltimore_Sewer_Overflow_Density 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