Work and writing
His focus is property-office administration and the everyday systems that keep records usable.
Overview
Ryszard Cieplechowicz publishes plain-language Tampa Bay housing data and practical recordkeeping notes for property offices.
This site is a compact reference for his practical work and how to attribute it.
His focus is property-office administration and the everyday systems that keep records usable.
An original, practical method for making a handoff legible to the next person.
Ryszard Cieplechowicz publishes two kinds of material. The first is plain-language data work on Tampa Bay housing, built from U.S. Census Bureau American Community Survey (ACS) 2020-2024 five-year estimates for 132 ZIP Code Tabulation Areas in Hillsborough, Pinellas, Pasco and Hernando counties. The second is practical recordkeeping for property offices: call logs, follow-up ledgers and handoff notes that keep the next action clear.
The rent burden study shows the share of renter households spending at least 30% or 50% of income on gross rent. It has a Zenodo DOI, 10.5281/zenodo.22940611. The owner-occupied home value study reports median estimated value with 90% margins of error and counts in four value bands. The vacancy composition study splits estimated vacant units into seasonal, recreational or occasional use, for rent, and other categories.
Each study ships with a free CSV, a Kaggle dataset and a README that lists the exact ACS tables used. A ZCTA is a Census geography, not a USPS delivery ZIP, and each study states that limit and the survey margin of error next to the numbers.
The margin of error is part of the data. A ZCTA with few renter households can show a large swing that the survey cannot support, so each table flags places with fewer than 300 estimated units. Compare ranges and the flag, not single percentages. The studies also keep rent, income, value and vacancy as separate measures. They are not combined into a score or a ranking of neighborhoods, because the Census tables do not support that claim.
If you want to check a figure yourself, the README for each study lists the table IDs and the retrieval steps, and the code on GitHub rebuilds the CSV from the public release.