ZIP code profile · 2024 county data
ZIP Code 49765
Presque Isle County, Michigan: Census demographics for this ZIP plus the containing county's FBI UCR crime rate.
Data updated 2026-08-24
- 170
- Property rate /100K (county)
- 4,505
- Population (ZIP)
- 39
- Violent rate /100K (county)
Is ZIP code 49765 safe? Honest data snapshot
ZIP code 49765 sits within Presque Isle County, MI. The figures below are the county's own FBI UCR numbers for 2024, the most accurate available statistic for this location, not a ZIP-specific calculation.
Presque Isle County reported a violent-crime rate of 39 per 100,000 residents and a property-crime rate of 170 per 100,000 in 2024, drawing on county-level agency submissions.
Based on just 5 reported violent incidents across a county population of 12,982, this count is too low to support a reliable per-100K rate comparison. It may reflect a genuinely low-crime county, or it may reflect incomplete agency-level reporting to the FBI UCR Program for this county and year, small county-level counts are common in FBI Table 10 and should be treated as a data point, not a precise safety ranking.
ZIP 49765 carries a Census-reported population of 4,505, ranking #2 of 6 ZIPs in Presque Isle County, spread across 238.07 square miles (about 19 people per square mile). For a full breakdown of Presque Isle County's crime categories and year-over-year trend, see the Presque Isle County crime page linked below.
ZIP 49765 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Presque Isle County agency submissions; see methodology for the ZCTA plurality map. Methodology.
ZIP 49765 Census context
These are ZIP/ZCTA demographic estimates, separate from the county-level FBI proxy above. They describe the local settlement, not a crime rate.
- Median household income
- $52,308
- Median age
- 46.7 years
- Owner-occupied homes
- 84%
- Occupied homes
- 1,852
Source: U.S. Census Bureau, ACS 2022 5-year ZCTA estimates (income, age, and occupied housing tenure).
Presque Isle County UCR book ZIP 49765 inherits
ZIP 49765 itself is about 19 people per Census sq mi across 238.1 sq mi (4,505 residents), a postal settlement fact independent of the county UCR proxy.
ZIP 49765's 4,505 residents are about 34.7% of the 2024 county reporting population (12,982), a large postal share of a county-wide rate.
Presque Isle County's 2024 UCR book concentrates in larceny-theft (70% of 27 offenses; mix index 5,254). ZIP 49765 inherits that county mix, not a postal-native split.
Presque Isle County 2024 vs 2023: property counts +5% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.
Presque Isle County offense mix (2024)
Mix index is HHI × 10,000 on county offense-type shares. Distinct from the per-100K rates in the hero; still county-agency data, not a ZIP-native FBI table.
Nationwide peers for ZIP 49765
Similar county violent rate (~39/100K)
- ZIP 58652, ND · 38.6/100K · Stark County
- ZIP 92003, CA · 38.3/100K · San Diego County
- ZIP 44431, OH · 38.3/100K · Columbiana County
- ZIP 57754, SD · 38.8/100K · Lawrence County
Similar Census population (~4,505)
- ZIP 04462, ME · 4,506 pop · Δ1
- ZIP 08544, NJ · 4,504 pop · Δ1
- ZIP 59644, MT · 4,504 pop · Δ1
- ZIP 61745, IL · 4,507 pop · Δ2
County detail: Presque Isle County · State atlas: Michigan
Sources: U.S. Census Bureau (ZIP population, land area, 2020 ZCTA-to-county relationship file, ACS 5-year estimates) and FBI Uniform Crime Reporting (UCR) Program, Crime in the United States (CIUS) Table 10 (county-level crime, attributed via ZIP-to-county crosswalk).
Verify with Census.gov Geography and FBI.gov UCR.
Read our methodology , how this data is sourced, computed, and verified.
Every figure on PlainCrime is rendered directly from FBI Uniform Crime Reporting (UCR) source data, no number is typed in by an editor. This page combines Census ZIP-level figures with a ZIP-to-county crosswalk to attribute FBI UCR crime data honestly, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.