Crime, housing and income data for 49 neighborhoods in Columbus, OH, 1980. Textbook example.
- Observations = 49
- Variables = 20
- Year = 1980
Data overview
| Variable | Description |
|---|---|
| AREA | Neighborhood area (computed by ArcView) |
| PERIMETER | Neighborhood perimeter (computed by ArcView) |
| COLUMBUS_ | Internal polygon ID (generated by ArcView) |
| COLUMBUS_I | Internal polygon ID (geneated by ArcView) |
| POLYID | Neighborhood ID, used in GeoDa User’s Guide and tutorials |
| NEIG | Neighborhood ID, used in Spatial Econometrics examples |
| HOVAL | Housing value (in $1,000) |
| INC | Household income (in $1,000) |
| CRIME | Residential burglaries and vehicle thefts per 1000 households |
| OPEN | Open space (area) |
| PLUMB | Percentage of housing units without plumbing |
| DISCBD | Distance to CBD |
| X | Centroid x coordinate (in arbitrary digitizing units) |
| Y | Centroid y coordinate (in arbitrary digitizing units) |
| NSA | North-south indicator variable (North = 1) |
| NSB | Other north-south indicator variable (North = 1) |
| EW | East-west indicator variable (East = 1) |
| CP | Core-periphery indicator variable (Core = 1) |
| THOUS | Constant (= 1000) |
| NEIGNO | Another neighborhood ID variable (NEIG + 1000) |
Source
Anselin, Luc (1988). Spatial Econometrics. Boston, Kluwer Academic, Table 12.1, p. 189.
Prepared by Luc Anselin. Last updated June 16, 2003. Data provided “as is,” no warranties.