Welcome

Welcome to this comprehensive overview of hate crime data for New York City and New York State. This page presents key indicators of reported bias-motivated incidents, drawn from official datasets produced by the New York City Police Department (NYPD) and the New York State Division of Criminal Justice Services (DCJS). Whether you are a policymaker, public-health practitioner, community partner or concerned citizen, the intent is to provide clear, accessible information on how hate crime is measured, distributed and classified across jurisdictions.

Data Overview

The datasets presented here include monthly counts of confirmed hate-crime incidents in New York City and annual or multi-year counts of incidents by county, type, bias motive and other categories in New York State. The NYPD dataset offers detailed incident-level data for the city (including bias motive and legal classification) and is publicly available on NYC Open Data. The state dataset compiled by DCJS provides county-level counts and bias-type breakdowns for incidents reported by law enforcement agencies across the state. Both sources are grounded in law-enforcement reporting systems, and the definitions, classification rules and coverage differ accordingly; users should refer to the original data documentation for full technical details.

How to Use These Data

Use these data to identify the scale and structure of recorded bias-motivated incidents, to compare across jurisdictions and bias categories, and to inform programmatic or policy responses. For example, you can compare the number of incidents by bias motive, map incident counts or rates by geography, or examine outcomes such as arrests by category. The outputs on this page—tables, maps and charts—are designed to support decision-making: for instance, assessing resource allocation, designing outreach and prevention activities, or monitoring trends of interest. While the visualizations display data over time and across categories, remember to interpret them in context—especially given variations in reporting, classification and data completeness.

Why Are These Data Important?

Hate crimes strike at the core of community safety, inclusion and trust in institutions. Data on hate crimes help public-health officials, law-enforcement agencies and community partners to identify populations and places at elevated risk, allocate resources to prevention and support services, and monitor the effectiveness of interventions or policy changes. Furthermore, because bias-motivated incidents may affect mental-health outcomes, community cohesion and perceptions of safety, these data provide a valuable link to broader public-health objectives. In short, accurate and accessible hate-crime data form a foundation for targeted action and accountability.

What Do These Data Show?

The data show how many incidents have been reported and classified as hate crimes by bias motive, offense type or geographic unit, as well as measures of incident rate (where population data allow). They reveal how law-enforcement agencies record and publish bias-motivated incident data—allowing comparisons between the city and state, across bias categories and over time. The maps, tables and trend charts enable identification of where incidents are concentrated, how they are classified, and how outcomes such as arrests vary by category or location.

What Do These Data Not Show?

These data do not capture all hate-motivated wrongdoing: they reflect only incidents that law-enforcement agencies have classified and reported as hate crimes. Differences in reporting, classification, investigation and community willingness to report mean that the numbers are likely an under-count of all bias-motivated harm. The data also do not provide comprehensive details on victim or offender demographics, psychological or social impact, or the broader forms of harassment or bias incidents that fall outside statutory hate-crime definitions. Users should therefore avoid interpreting these figures as a complete measure of bias-motivated harm or community sentiment.

Implications for Policy and Practice

For policymakers and public-health leaders, these data suggest several actionable directions: allocating resources to jurisdictions or bias categories with higher incident counts or rates; strengthening data-collection, reporting and classification practices to reduce under-reporting; and linking hate-crime monitoring to prevention, victim-support and community engagement strategies. Specifically, low arrest or clearance rates by bias motive may merit review of investigative capacity, while geographic “hot spots” highlighted in maps can inform deployment of community outreach or law-enforcement initiatives. Ultimately, when used responsibly, these data support evidence-based strategies to reduce bias-motivated harm, strengthen community resilience and promote safer, more inclusive environments across New York.

Executive Summary¹

Date: July 27, 2026
Subject: Briefing on Hate Crime Data for New York City and New York State

This briefing provides an analysis of the most current data on reported hate crimes in New York City and New York State. According to New York City Police Department (NYPD) data, 384 hate crime incidents were reported in the first six months of 2024, representing a 13.9% increase from the 337 incidents reported during the same period in 2023. Statewide data from the New York State Division of Criminal Justice Services (DCJS) for 2024 show 989 incidents, a 6.9% decrease from the 1,063 total incidents reported in 2023. It is important to note that data from these two sources are collected separately and may not align perfectly on incident counts within New York City.

The first notable pattern is the substantially greater frequency of hate crimes motivated by anti-Jewish bias compared to all other categories. In New York City, anti-Jewish incidents accounted for 56% (216 of 384) of all reported hate crimes in the first half of 2024. This total is more than four times higher than the next most frequent category, Anti-Male Homosexual (Gay), which had 47 incidents. This pattern is consistent with statewide data for 2024, where anti-Jewish crimes (471 incidents) represent 48% of the total and are also over four times more frequent than the next highest categories, Anti-Gay Male (108 incidents) and Anti-Black (106 incidents). A substantial single-month total was also recorded in New York City in October 2023, with 112 incidents, 67 of which were classified as anti-Jewish.

A second notable pattern involves shifts among other bias motivation categories at the state level and the persistent geographic concentration of incidents. While statewide reports of anti-Black hate crimes decreased by 43% (from 186 in 2023 to 106 in 2024), reports of anti-Muslim incidents increased by 42.9% (from 35 to 50) and incidents targeting “Other Ethnicity/National Origin” rose by 22% (from 41 to 50). Geographically, hate crimes remain concentrated in New York City, which accounted for 66% (657 of 989) of all reported incidents statewide in 2024. Within the city, NYPD data show the highest incident volumes in precincts covering Midtown Manhattan, Williamsburg, and several neighborhoods in southern Brooklyn.

These data reflect only those incidents reported to and classified by law enforcement, and underreporting remains a critical consideration. Changes in public willingness to report, community outreach efforts, and internal police classification practices can influence these figures independently of the actual volume of hate crimes occurring. For example, the year-over-year increase in reported incidents in New York City may reflect a higher frequency of offenses, greater community trust leading to more reporting, or a combination of factors. The overall arrest rate for reported hate crimes in New York City was 49.2% for the first half of 2024, indicating an arrest was made in approximately half of all incidents.

Hate Crimes in New York City

Hate Crimes in New York State