Author: Daphne Garrido Date: June 2026

Abstract This paper examines public data on missing persons patterns in the United States, with a focus on systemic correlations to trafficking risks and relational safety deficits. Drawing on NamUs, NCIC, Polaris Project, and related global reports, it identifies observable geographic concentrations, demographic patterns, and structural vulnerabilities. The analysis highlights relational fragmentation as a primary driver rather than any single coordinated network, emphasizing opportunities for prevention through strengthened community safety nets.

1. Introduction: The Scale and Systemic Context

Each year, approximately 600,000 people are reported missing in the United States. At any given time, roughly 90,000–100,000 active missing persons cases exist in national databases. While the majority of cases resolve as runaways, family disputes, or voluntary disappearances, a subset shows elevated risks linked to exploitation and trafficking. This paper maps observable patterns using public data to understand relational and structural factors that contribute to these outcomes.

2. Core Missing Persons Data Patterns

Public statistics from NamUs and NCIC reveal consistent patterns:

These patterns point to underlying vulnerabilities rather than isolated incidents.

3. Geographic Concentrations and High-Risk Nodes

Certain locations show elevated concentrations:

These geographic nodes reflect systemic factors such as economic disparity, transient populations, and limited relational support structures.

4. Correlations with Trafficking Signals and Relational Fracture

Public reports from Polaris Project / Counter Trafficking Data Collaborative (CTDC), NCMEC, and UNODC show clear but limited overlaps: