

Watertown, South Dakota carries a BaseScore of 17/100 (Tier 1: Minimal), with 9,114 total threat incidents recorded across the city in 2025. Security teams evaluating Watertown for operations, travel, or site selection need street-level intelligence to assess risk across their specific operating locations.
Property Crime is Watertown's largest threat category at 50.0% of all recorded incidents — 4,557 of 9,114 total in 2025. Theft and robbery are primary drivers of this figure. Common types at this volume include retail theft, vehicle break-ins, and opportunistic street robbery.
Watertown's BaseScore of 17/100 places the city in Tier 1: Minimal on the Base Operations risk scale. In 2025, the city recorded 9,114 total incidents across 3 primary categories: Property Crime (50.0%, 4,557 incidents), Violent Crime (30.0%, 2,734 incidents), Regulatory Offenses (20.0%, 1,823 incidents).
BaseScore is a standardized 0–100 risk rating that enables security teams to compare threat levels across any global location using the same validated methodology. Normalized for population density, weighted by crime severity, and updated monthly from 25,000+ sources, BaseScore delivers the consistent, granular intelligence that replaces fragmented government statistics and expensive consulting assessments. Learn more about our methodology
| Tier | Score Range | Risk Label |
|---|---|---|
| 1 | 0–20 | Minimal ← Watertown |
| 2 | 21–40 | Low |
| 3 | 41–60 | Moderate |
| 4 | 61–80 | High |
| 5 | 81–100 | Critical |
Intelligence Disclaimer: The following news items are sourced via AI agent analysis of open sources. Confidence levels reflect source reliability — High: government or Base Operations verified data; Medium: multiple corroborating sources; Low: single source or extrapolated. AI agents can provide incorrect or misleading information. For verified, up-to-date threat analysis, use the Base Operations platform.
Source: KELOLAND News | Date: 2024-02-15 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
Watertown Police are investigating multiple burglaries reported in a residential neighborhood over the past week. Several homes were targeted, with electronics and jewelry among the stolen items. Authorities are asking residents to remain vigilant and report suspicious activity.
Source: Watertown Public Opinion | Date: 2024-03-22 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
A convenience store in Watertown was robbed at gunpoint late Thursday evening, with the suspect fleeing with an undisclosed amount of cash. No injuries were reported during the incident. Police are reviewing surveillance footage and seeking public assistance to identify the suspect.
Source: Dakota News Now | Date: 2024-05-10 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
A 34-year-old Watertown man was arrested after stealing tools and equipment from a local construction site. The theft was reported after workers noticed missing items valued at over $5,000. Police recovered some of the stolen property and are continuing their investigation.
Source: KXLG News | Date: 2024-07-18 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
Watertown Police have issued a warning following a spike in vehicle break-ins across the city. Thieves are targeting unlocked cars, stealing personal belongings and electronics. Residents are urged to lock their vehicles and avoid leaving valuables inside.
Source: Argus Leader | Date: 2024-09-05 | Confidence: Medium
Security implication: Street-level threat data helps security teams assess localized risk patterns that city-level statistics miss — enabling data-driven decisions for personnel safety and asset protection.
A suspect has been charged in connection with a home burglary in Watertown that occurred last month. The homeowner reported missing cash and personal items worth thousands of dollars. Police apprehended the suspect after a tip from a local resident.
Watertown recorded 9,114 total incidents across 3 primary threat categories in 2025.
| Category | 2025 Incidents | % of Total | Monthly Avg |
|---|---|---|---|
| Property Crime | 4,557 | 50.0% | 380 |
| Violent Crime | 2,734 | 30.0% | 228 |
| Regulatory Offenses | 1,823 | 20.0% | 152 |
| Total | 9,114 | 100% | 0 |
Data source: Base Operations platform, January–December 2025, Watertown city-level.
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