|
|
There are many different ways in which neighborhoods can be clustered into discreet geographic units: zip codes, community districts, Housing Vacancy Survey Sub-Borough Regions, and city council districts, are the most commonly used, in addition to political boundaries. Recently, Infoshare was launched as a database for users to access an abundance of data at a number of levels, including community district, zip code, neighborhood, sub-borough areas and by political boundaries. This great tool is easy to use, but you do have to register first, and the site does not always work. If it is working, you can sign up for a week free, but after that you will have to pay to use the site. There are other ways to access data at this geographic level. Below we offer links to each type of grouping in descending order of utility. We recommend that you first try the links near the top (congressional districts, community districts and zip codes), since they represent the simplest way to obtain data for neighborhood clusters, outside of infoshare. However, if these boundaries are not helpful you may find the other options helpful. |
|
|
|
|
|
copyright 2000 by UNHP comments | questions | suggestions |
![]() |