A Century of Evolution in the Complexity of the United States Legal Code

TL;DR

This paper presents a comprehensive, versioned dataset of the U.S. Code from 1926 to 2023, capturing its text, structure, and complexity to facilitate long-term analysis of legal system evolution.

Contribution

It provides the first long-term, detailed, machine-readable record of the U.S. legal code, including structural and linguistic features for interdisciplinary research.

Findings

Dataset covers 1926-2023 with detailed complexity metrics

Enables analysis of legal code growth and reorganization over time

Supports research in legal studies, data science, and complexity science

Abstract

As societies confront increasingly complex regulatory demands in domains such as digital governance, climate policy, and public health, there is a pressing need to understand how legal systems evolve, where they concentrate regulatory attention, and how their institutional architectures shape capacity for adaptation. Yet, the long-term structural dynamics of law remain empirically underexplored. Here, we provide a versioned, machine-readable record of the United States Code (U.S. Code), the primary compilation of federal statutory law in the United States, covering the entire history of the Code from 1926 to 2023. We include not only the curated text in Code but also its structural and linguistic complexity: word counts, vocabulary statistics, hierarchical organization (titles, chapters, sections, subsections), and cross-references among titles. In this way, the dataset offers an empirical foundation for large-scale and long-term interdisciplinary analysis of the growth, reorganization, and internal logic of statutory systems. The dataset is released on GitHub with comprehensive documentation to support reuse across legal studies, data science, complexity research, and institutional analysis.