City of Cleveland Census Geography

The following document describe basic geography concepts used in this site. Please read carefully. For more general description, visit www.census.gov.

Census blocks are areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and by invisible boundaries, such as city, town, township, and
county limits, property lines, and short, imaginary extensions of streets and roads. Census block is the smallest Census units in Cleveland. Each block has a block number. In this site the number in general does not include State(39) and County (035) code. For example, 1011011001.

A Census block group (BG) is a cluster of census blocks having the same first digit of their four-digit identifying numbers within a census tract. In this site, a BG code has 7 digits. For example, 1011011.

Census tracts are small, relatively permanent statistical subdivisions of a county. It is a cluster of Census Block Groups. Census Tract data used in this site reflects the Tract INSIDE City of Cleveland. In other words, it refers to the record under summary level 080: State-County-County Subdivision-Place/Remainder-Census Tract. In Census 2000, there are several Census Tract boundary cross City Limits, but there is no person in the smaller portion.

A SPA (Statistical Planning Area) is a group of Census Tracts. They generally forms a traditional "Neighborhood". There are 36 (35 before 1992) established SPA inside City of Cleveland.

Planning Districts are estalished in 1998 for the purposed of updating Citywide Plan. They are based on the 6 Police Districts and modified so that no SPA is devided.

The city is devided into 21 Wards, each ward has a elected council person. Each ward will have approximated same population. The city council has produced new ward boundaries based on the Census 2000 Public Law file. In general, the ward boundary does not cross Census Block. The new ward boundaries will take effect on Janurary 2002.

Data on SPAs, Planning Districts, Wards are aggregated from Census Blocks. All Median value use Average of Median data as approximation.