What's New in Geocorr 2000
This version has been production since April, 2007. Most recent update was in July, 2009, to update option for most recent pop as weight variable to 2009. We also fixed a bug involving selection of a NECTA geographic item when processing a non-New England and a New England state in the same run. This will be the final update for this 2k version of the application. The next version you see will be the 2010 version, which is really a new module.
Summary of Changes
This new version fetures a number of enhancements. These include:
- Significantly improved performance (to allow a better chance of being able to do all-states runs without running into browser timeouts) . We have also increased the verbosity of the program so that it displays more messages regarding the phases of processing. This is intended primarily to avoid browser timeouts, since the latter occur when nothing is transmitted for an extended period of time. There will still be some such periods but they will be shorter because of the additional messages regarding progress.
- New geographic coverages, including current state legislative districts, 109th congressional districts, Beale urban-rural codes and urban influence codes. Core-based statstical areas (CBSAs, aka metropolitan and micropolitan statistical areas) have been updated to current (4/07) values. Metropolitan divisions and CSAs (subsets and supersets of CBSAs) also updated. These were last revised in late 2009 to reflect the then-current definitions.
- New England city and town based statistical areas (NECTAs) have been added for the six New England states.
- For Missouri only: Updated school district codes — current as of 2006. Available with both the standard NCES codes and the six-digit codes used by the Mo. Dept. of Elementary and Secondary Education (DESE). Also, Area Agency on Aging (AAA) districts added.
- A new weight variable option lets you get population estimates (as of 7-1-2006) as the weight. The weights are assigned to the block-level counts in the MABLE database by applying a population growth factor. This is simply the ratio of the 2006 estimate for the county to the 2000 census count for that county. So if the county grew by 3% over the period, then we would apply a 1.03 growth factor to all block pops and use these as the new weight variable. This is only valid when working with county level or higher geography.