Hi Chuck! Hope you are well! I was surprised, and pleased, to see you are still working on census data We sold Citilabs to Bentley 2 years ago. Victor just retired and is living in Seattle and I’m going to work a while longer and am now based in Sacramento Best Michael On Nov 19, 2021, at 7:39 PM, Charles Purvis <clpurvis(a)att.net> wrote:  WARNING: This email originated from outside of the organization. DO NOT click links, open attachments, or respond unless you recognize the sender and know the content is safe. ________________________________ We’re in the middle of a 90 day period to delineate new, Census 2020-based PUMAs (Public Use Microdata Areas) (November 2021 - January 2022). PUMAs are used not only in Census Bureau PUMS (Public Use Microdata Sample data); but in standard tabulations (1-year, 5-year) of American Community Survey (ACS) data. This PUMA development process is basically of interest to MPOs, State DOTs, academics and researchers of area with counties greater than 200,000 population (potentially splittable counties). Read more about the PUMA process here: https://www.census.gov/programs-surveys/geography/guidance/geo-areas/pumas/… The Census Bureau process focuses on the use of the free GIS system QGIS and the free add-on GUPS (Geographic Update Partnership Software) to prepare new PUMAs. Read through this carefully, but understand that the MPO staff don’t necessarily need to use QGIS + GUPS to prepare the tract-to-PUMA equivalency files. This CAN be done in other software (ArcGIS?) and then transmitted to your State Data Center so they can do the necessary edit checks and transmittal of final statewide proposals to the Census Bureau. Recommendation: work with your State Data Center on how to transmit the necessary tract-to-PUMA equivalency files. For the San Francisco Bay Area, I used both R and QGIS for this process. Both R (using R Studio software) and QGIS are free — in my price range! Attached is my R script which was used to obtain tract-level data using the TIDYCENSUS package; place-level data using TIDYCENSUS; and old Census 2010-based PUMAs using the TIGRIS package. I had to use the SF package (simple feature) to do some basic GIS processes in R, before I exported relevant SHP files that I could use in QGIS. Use ArcGIS or other GIS packages, of course. I was able to expand the number of PUMAs in the nine-county San Francisco Bay Area (population=7.765 million) from 55 PUMAs (2010 Census) to 63 PUMAs (2020 Census). And we should have plenty of time to debate and deliberate in our local community (counties, cities, transit operators, academics, PUMA/PUMS users) before handing proposals over to the State Data Census & the Census Bureau. Hope this helps! Chuck Purvis Hayward, California ________________________________ This email, including any attachments, may contain confidential and/or proprietary information intended only for the use of the recipient. If you are not the intended recipient, any distribution, copying, or use of this email or its attachments is prohibited. If you received this email in error, please reply to the sender immediately and delete this message and any copies. Bentley Systems has taken all reasonable steps to ensure that this communication is free from viruses, data corruption, and unauthorized alteration. Bentley Systems does not accept liability for any damages that may be incurred as a result of this or any communication by email [https://cdn2.webdamdb.com/310th_sm_UnR3pO7k0ir0.jpg?1616176329]