Preprint / Version 1

Urban Property Tax (IPTU) collection: a comparative diagnosis and solutions for improving municipal performance

##article.authors##

  • Danielle Costa Brandão State University of Maranhão image/svg+xml https://orcid.org/0009-0006-0384-6337
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Methodology
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • Luís Carlos Costa Fonseca State University of Maranhão image/svg+xml https://orcid.org/0000-0001-7648-6746
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Methodology
    • Supervision
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • Sofiane Labidi Federal University of Maranhão image/svg+xml https://orcid.org/0000-0002-4119-6711
    • Conceptualization
    • Data Curation
    • Investigation
    • Formal Analysis
    • Methodology
    • Supervision
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing

DOI:

https://doi.org/10.1590/0034-761220260085

Keywords:

IPTU, municipal revenue, tax delinquency, information technology, machine learning

Abstract

Considering that the Urban Property Tax (IPTU) is one of the main sources of municipalities' own-source revenue, yet presents significant disparities in tax collection among Brazilian municipalities, this study conducts a comparative diagnosis of six northeastern capitals and proposes solutions based on experiences from other jurisdictions. The research examines factors such as economic indicators, real estate market dynamics, cadastral data quality, assessment levels, and tax delinquency rates. Subsequently, strategies grounded in information technology and mathematical models are presented, highlighting the importance of consolidated databases, institutional integration, and the use of statistical techniques and machine learning methods to detect patterns and inconsistencies, as well as to support automated valuation processes. The findings reveal contrasting performance among municipalities, primarily associated with cadastral quality, assessment obsolescence, and delinquency levels. The study concludes that many municipalities have significant potential to increase IPTU revenue through investments in technological solutions capable of improving cadastral systems, enhancing diagnostic analysis, and guiding more efficient tax enforcement actions, thereby strengthening municipal revenue and expanding public investment capacity.

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Author Biographies

Danielle Costa Brandão, State University of Maranhão

Mestre em Engenharia de Computação e Sistemas pela Universidade Estadual do Maranhão (UEMA).

Luís Carlos Costa Fonseca, State University of Maranhão

Doutor em Informática na Educação pela Universidade Federal do Rio Grande do Sul (UFRGS); Professor Associado na Universidade Estadual do Maranhão (UEMA), atuando em cursos de graduação e pós-graduação.

Sofiane Labidi, Federal University of Maranhão

Doutor em Inteligência Artificial pelo INRIA, França; Professor do Programa Bacharel em Ciência e Tecnologia -BICT, da Universidade Federal do Maranhão (UFMA), com atuação em Inteligência Artificial aplicada à Educação, Sistemas Multiagentes e Aprendizagem Colaborativa Apoiada por Computador (CSCL). 

Submitted

08/27/2026

Posted

08/27/2026

How to Cite

Urban Property Tax (IPTU) collection: a comparative diagnosis and solutions for improving municipal performance. (2026). In SciELO Preprints. https://doi.org/10.1590/0034-761220260085

Section

Applied Social Sciences

Plaudit

Data statement

  • The research data is contained in the manuscript