Which U.S. ZIP Codes Have the Most Registered Sex Offenders per Capita?
When it comes to public safety, few topics spark as much concern as the presence of registered sex offenders in our communities. The United States maintains one of the most stringent sex offender registry systems in the world, with an estimated 800,000 registered sex offenders. While sex offender registration is an essential tool for law enforcement, many people also use it to gauge the safety of their communities and assess risks when moving to a new area. Due to several legal and socio-economic factors, some ZIP codes across the country have significantly higher numbers of registered offenders than others.
In this report from Gelman Law Firm, we used national and state data to discover which 50 counties have the highest per capita number of registered sex offenders and delve into some of the complex reasons why these clusters exist.
What is the Sex Offender Registry?
The sex offender registry is a system required by both federal and state laws to keep track of people convicted of sex-related crimes. It operates at national and state levels, serving as a tool for law enforcement and a public information source. The registry is designed to promote transparency by making important details, such as an offender’s name, address, and the nature of their offenses, accessible to the general population.
The federal government lists guidelines for states to monitor and manage registrants and offers options for territories like Indian Country and the District of Columbia. Additionally, many states enforce additional laws, such as zoning restrictions for where sex offenders are allowed to live and the amount of information they are required to make available to the public about their crimes and personal information.
The National Sex Offender Public Website (NSOPW) consolidates data from all 50 states, territories, and tribal jurisdictions. State registries, such as California’s Megan’s Law, supplement the national database with more localized data.
The registry was designed to protect communities, but it has limitations. Some offenders may fail to register or provide inaccurate information, and many aren’t updated, calling into question their accuracy and usefulness for the community.
Why Do Some ZIP Codes Have Higher Concentrations of Offenders?
While legal restrictions play a significant role in the high concentrations of sex offenders in some areas, economic, social, and geographic considerations also influence these patterns.
Legal Restrictions
Many states have strict zoning laws prohibiting offenders from living or going near schools, parks, playgrounds, or daycares. These restrictions limit available housing options for offenders, particularly in densely populated urban areas. El Paso, ranked as the city with the most registered sex offenders on our list, has stringent city laws restricting where sex offenders can live and work, which likely limits them to specific areas.
Affordable Housing
Offenders frequently face financial difficulties, as the nature of their crimes makes employers less likely to consider them viable candidates. Landlords may also hesitate to lease apartments to such individuals, limiting their housing options. As a result, registered sex offenders in Los Angeles are likely to gravitate toward ZIP codes with lower housing costs. For example, in the 90003 ZIP code in Los Angeles, the cost of living is 7.9% lower than the state average. This ZIP code also ranks as the county with the second-highest number of sex offenders in the nation.
Population Density
Urban ZIP codes with higher populations naturally have more offenders, even if the percentage remains consistent with other areas. In New York City, for example, which has the highest population density of any city in the United States, multiple ZIP codes in the Bronx and Brooklyn rank among the 50 counties in the country with the highest rates of sex offenders.
The Impact of High Offender Concentrations
While registration of sex offenders provides transparency for parents and community members, the clustering of offenders in specific areas raises concerns for non-offenders who also live in the area. Communities with high concentrations on the registered sex offenders map often face stigmatization, reduced property values, and demoralization due to public safety concerns. While not all offenders pose the same level of risk, many people, particularly those with families, are hesitant to live near such individuals. There are even neighborhoods being explicitly constructed with the intent to keep sex offenders away.
A complex interplay of legal, economic, and social factors shapes the distribution of registered sex offenders. While the registry serves as a tool for public safety, its limitations highlight the need for continued dialogue and fact-based policy.
If you or someone you care about is navigating the challenges of sex crime offenses, it’s critical to have qualified legal representation on your side. Gelman Law Firm has years of experience defending individuals facing criminal charges, including sex offender registration cases, and is ready to help you protect your rights. Contact us today to begin building a defense tailored to your unique case.
What ZIP Codes Have the Most Registered Sex Offenders?
An analysis was conducted on the number of public sex offender registrations in the 250 largest ZIP codes in the United States to identify the areas with the highest number of registrations per capita. It is important to note that some individuals may appear multiple times on the sex offender registry.
The 50 U.S. ZIP Codes with the Most Registered Sex Offenders per Capita
ZIP Code | ZIP Code Population | Number of Public Sex Offender Registries | ZIP Code | Public Sex Offender Registrations per 10,000 People | |
1 | 79928 | 78,971 | 358 | El Paso, TX | 45.33 |
2 | 90003 | 72,764 | 325 | Los Angeles, CA | 44.66 |
3 | 60085 | 71,609 | 300 | Waukegan, IL | 41.89 |
4 | 75217 | 85,330 | 352 | Dallas, TX | 41.25 |
5 | 33311 | 69,413 | 259 | Fort Lauderdale, FL | 37.31 |
6 | 60617 | 77,270 | 286 | Chicago, IL | 37.01 |
7 | 10466 | 70,420 | 241 | Bronx, NY | 34.22 |
8 | 10457 | 77,488 | 237 | Bronx, NY | 30.59 |
9 | 10468 | 78,238 | 235 | Bronx, NY | 30.04 |
10 | 90044 | 94,354 | 284 | Los Angeles, CA | 30.10 |
11 | 11207 | 100,330 | 283 | Brooklyn, NY | 28.21 |
12 | 11212 | 91,574 | 255 | Brooklyn, NY | 27.85 |
13 | 10456 | 93,412 | 247 | Bronx, NY | 26.44 |
14 | 95206 | 69,350 | 182 | Stockton, CA | 26.24 |
15 | 95823 | 81,212 | 210 | Sacramento, CA | 25.86 |
16 | 11233 | 75,399 | 191 | Brooklyn, NY | 25.33 |
17 | 93230 | 68,412 | 169 | Hanford, CA | 24.70 |
18 | 11208 | 101,958 | 247 | Brooklyn, NY | 24.23 |
19 | 75211 | 70,695 | 170 | Dallas, TX | 24.05 |
20 | 20002 | 69,422 | 165 | Washington, DC | 23.77 |
21 | 10458 | 81,299 | 192 | Bronx, NY | 23.62 |
22 | 93535 | 82,149 | 194 | Lancaster, CA | 23.62 |
23 | 92509 | 78,166 | 182 | Jurupa Valley, CA | 23.28 |
24 | 10467 | 103,660 | 236 | Bronx, NY | 22.77 |
25 | 30281 | 69,540 | 153 | Stockbridge, GA | 22.00 |
26 | 94509 | 69,931 | 153 | Antioch, CA | 21.88 |
27 | 93307 | 88,338 | 190 | Bakersfield, CA | 21.51 |
28 | 10453 | 81,951 | 172 | Bronx, NY | 20.99 |
29 | 84015 | 68,548 | 143 | Clearfield, UT | 20.86 |
30 | 93274 | 78,493 | 162 | Tulare, CA | 20.64 |
31 | 11221 | 89,222 | 182 | Brooklyn, NY | 20.40 |
32 | 63376 | 76,064 | 154 | Saint Peters, MO | 20.25 |
33 | 80013 | 75,099 | 152 | Aurora, CO | 20.24 |
34 | 76028 | 74,023 | 149 | Burleson, TX | 20.13 |
35 | 37042 | 83,498 | 168 | Clarksville, TN | 20.12 |
36 | 78542 | 84,678 | 170 | Edinburg, TX | 20.08 |
37 | 92345 | 86,499 | 171 | Hesperia, CA | 19.77 |
38 | 90011 | 102,308 | 199 | Los Angeles, CA | 19.45 |
39 | 79938 | 96,353 | 185 | El Paso, TX | 19.20 |
40 | 78577 | 79,937 | 153 | Pharr, TX | 19.14 |
41 | 93722 | 87,364 | 167 | Fresno, CA | 19.12 |
42 | 10469 | 71,571 | 135 | Bronx, NY | 18.86 |
43 | 10452 | 77,564 | 145 | Bronx, NY | 18.69 |
44 | 92553 | 76,761 | 143 | Moreno Valley, CA | 18.63 |
45 | 94533 | 77,380 | 143 | Fairfield, CA | 18.48 |
46 | 93257 | 79,569 | 145 | Porterville, CA | 18.22 |
47 | 92021 | 70,584 | 127 | El Cajon, CA | 17.99 |
48 | 60623 | 87,649 | 156 | Chicago, IL | 17.80 |
49 | 14850 | 69,271 | 123 | Ithaca, NY | 17.76 |
50 | 23464 | 75,118 | 133 | Virginia Beach, VA | 17.71 |
Sources: