Published October 4, 2026 | Version v1

PHASED study archive | Tax Foundation | Property_taxes.csv

  • 1. Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Global Change Center, Virginia Tech, Blacksburg, VA 24061, USA
  • 2. School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USA
  • 3. Environmental Program, Dartmouth College, Hanover, NH 03755, USA
  • 4. Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Global Change Center, Virginia Tech, Blacksburg, VA 24061, USA; Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708, USA

Description

Original file used in the PHASED study, Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization.

File: Property_taxes.csv. Source group: Tax Foundation.

Study file location: 4 External Data/Tax Foundation/Property_taxes.csv.

This record preserves the original file. Credits and reuse conditions of the original data provider remain applicable. No newly generated webpage figures or summary tables are included.

Study manuscript: Correlated uncertainty propagation enables multi-impact decision support for electrical system decarbonization. The five listed authors are the study authors and compilers of this study archive. Original external data remain credited to their providers.

Source credit: Tax Foundation. County property taxes, 2023 data.

Reuse: Tax Foundation material is CC BY-NC 4.0 unless otherwise marked. Retain attribution; commercial reuse requires permission.

Source or terms: https://taxfoundation.org/copyright-notice.

Corresponding study author: Ryan S.D. Calder (rsdc@vt.edu).

This file is made publicly available for study reproducibility. Any reuse must comply with the original provider's citation, attribution, license and other source requirements. Cite the original source as well as this archived copy. The study authors do not claim authorship of the underlying external source data or grant rights beyond those held by the source provider.

Notes

Single-file study archive. The DOI cites this archived item; source-provider citations remain applicable. Tax Foundation material is CC BY-NC 4.0 unless otherwise marked. Retain attribution; commercial reuse requires permission.

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Property_taxes.csv

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