IDEAS home Printed from https://ideas.repec.org/p/cen/tnotes/25-16.html
   My bibliography  Save this paper

OSCILAT: Optimized Spatial Census Information Linked Across Time

Author

Listed:
  • Jonathan Schroeder

Abstract

OSCILAT (Optimized Spatial Census Information Linked Across Time) is a data set that provides high-quality georefence information for 1990, 2000, and 2010 U.S. decennial census microdata for both persons and housing units, including Puerto Rico in 2000 and 2010. The data set includes two types of georeference information: (1) optimized geographic coordinates (latitude and longitude) and (2) census block identifiers. Each of these types of information is “linked across time†in a different way. First, the optimized geographic coordinates are derived, wherever possible, from the most recent corresponding source of census spatial information, e.g., by “linking†a 1990 microdata record to coordinates for the corresponding address in the 2020 Master Address File Extract (MAFX). Second, OSCILAT “links†every microdata record to multiple census years’ geographic units by identifying not only a contemporary block ID (e.g., the 2000 block where a 2000 census respondent resided) but also 2010 and 2020 block IDs (e.g., the 2010 and 2020 blocks where a 2000 census respondent resided). These block IDs can be used to associate 1990, 2000 or 2010 census responses with any higher level of 2010 or 2020 census geography (census tracts, counties, etc.), thereby facilitating longitudinal comparison with consistent spatial units.

Suggested Citation

  • Jonathan Schroeder, 2025. "OSCILAT: Optimized Spatial Census Information Linked Across Time," CES Technical Notes Series 25-16, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:tnotes:25-16
    as

    Download full text from publisher

    File URL: https://www2.census.gov/ces/tn/CES-TN-2025-16.pdf
    File Function: Abstract
    Download Restriction: CES Technical Notes may contain confidential data and, thereby, disclosure is prohibited. Researchers on approved projects (to apply for access, please see https://www.census.gov/ces/rdcresearch/howtoapply.html) with the correct permissions can request full text notes from CES.Technical.Notes.List@census.gov.

    File URL: https://www.census.gov/about/adrm/ced/apply-for-access.html?CES-TN-2025-16
    File Function: Confidential main document
    Download Restriction: Researchers need to have obtained appropriate permissions.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Decennial; MAFX;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cen:tnotes:25-16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Danielle H. Sandler (email available below). General contact details of provider: https://edirc.repec.org/data/cesgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.