New York City 311 Service Request Data Dashboard

November 2, 2026
New York City 311 Municipal Services GIS

Published: May 31, 2020
Updated: November 02, 2026 at 06:55PM


Welcome

Welcome to the New York City 311 Service Requests Terminal. This page provides a comprehensive spatial and temporal analysis of municipal service requests submitted to NYC 311 over the preceding 24 hours. The 311 system serves as the city’s primary non-emergency interface, and understanding these real-time demand patterns can help inform municipal resource allocation, neighborhood equity assessments, and targeted public health interventions. The data presented here are sourced directly from the NYC Open Data platform.

Data Overview

The dataset includes all publicly reportable 311 interactions filed on r report_date_str, capturing key details such as the date and time of the call, location, responding agency, and specific complaint type. The data powering this terminal are pre-filtered to isolate records with valid geospatial coordinates to ensure accurate mapping. Because these records represent a rolling 24-hour window, this dashboard functions as an active surveillance tool rather than a historical archive.

How to Use These Data

This interactive terminal provides synchronized spatial visualizations and data tables to help users explore daily municipal friction. Users can filter the map and underlying records by Community District, responding agency, complaint type, and 24-hour resolution status (Open vs. Closed). These tools allow analysts to transition from citywide daily trends to hyper-local, street-level observations, identifying operational backlogs or localized clusters of infrastructure decay.

Why Are These Data Important?

NYC 311 data function as a real-time sensor network for structural determinants of health and neighborhood quality of life. Monitoring trends in complaint volume and agency response times helps identify emerging environmental hazards (such as lack of heat, rodent sightings, or illegal dumping) before they precipitate acute medical emergencies or broad public health crises. These data are particularly critical for understanding infrastructural vulnerabilities, seasonal variations in municipal strain, and disparities in government service delivery across different neighborhoods.

What Do These Data Show?

These data illustrate the immediate geographic distribution and categorical makeup of municipal service demands. They reveal the spatial footprint of specific urban issues—from systemic residential decay to acute street-level nuisances—and highlight which city agencies are currently absorbing the highest volume of triage requests. Furthermore, the data provide operational visibility into short-term municipal responsiveness by tracking which geographic areas are experiencing localized backlogs of unresolved tickets.

What Do These Data Not Show?

These data measure complaint volume, not necessarily the true underlying prevalence of incidents. 311 data are heavily influenced by reporting bias; wealthier, digitally connected neighborhoods often over-utilize 311, while marginalized communities may under-report severe issues due to language barriers, lack of digital access, or historical distrust of municipal enforcement. Additionally, these data exclude emergencies handled by 911 (such as acute crimes or fires) and do not provide the final outcome of the agency's investigation, only the administrative closure status of the digital ticket.

Implications for Public Health & Civic Practice

Understanding 311 reporting patterns can support strategic, proactive decision-making for municipal operations and public health initiatives. Housing and health officials can use these spatial data to target proactive building inspections in clusters reporting heat or lead paint violations. Sanitation and environmental departments can allocate resources to mitigate illegal dumping and vector-borne disease risks based on localized spikes. By recognizing 311 calls not just as complaints, but as leading indicators of neighborhood health and safety, stakeholders can enhance the equity and efficiency of municipal service delivery across New York City.

Executive Summary

On October 31, 2026, New Yorkers submitted 10,984 geocoded service requests to 311. The most frequent complaint type citywide was "Noise - Residential", accounting for 2,340 individual reports. The NYPD was the most highly mobilized municipal department, tasked with responding to 62.5% of the day's overall geographic call volume.



Total Requests (Saturday)
10,984
-229 vs. 30-day average
Top Complaint Type
Noise - Residential
Top Responding Agency
NYPD
Peak Community District
Lower East Side, Chinatown (3.8%)
24-Hr Clearance Rate
62.9%
Volume vs. 30-Day Avg
-2%


24-Hour Surveillance Terminal

Spatial distribution of all geocoded service requests filed on October 31, 2026.

This interactive terminal maps the immediate geographic distribution of quality-of-life and municipal service demands. By isolating specific agencies, complaint types, or boroughs, analysts can transition from citywide daily trends to localized, street-level observations.

Terminal Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data



Summary Table

This matrix converts the raw 24-hour spatial data into a structured comparative analysis. It evaluates the absolute frequency of top complaints across the five boroughs and ranks the city agencies experiencing the highest volume of immediate dispatch requests.

Daily Municipal Service Intelligence Summary
NYC 311 Service Requests (October 31, 2026)
Total % of Citywide Bronx
(n, %)
Brooklyn
(n, %)
Manhattan
(n, %)
Queens
(n, %)
Staten Island
(n, %)
TOTAL VOLUME (% of Citywide Total)
Total Requests 10,984
1,824 (16.6%) 3,443 (31.3%) 2,803 (25.5%) 2,465 (22.4%) 449 (4.1%)
24-HOUR RESOLUTION STATUS (% of Borough Total)
Assigned 14
1 (0.1%) 5 (0.1%) 8 (0.3%) - -
Closed 6,701
1,024 (56.1%) 2,158 (62.7%) 1,721 (61.4%) 1,579 (64.1%) 219 (48.8%)
In Progress 2,292
216 (11.8%) 663 (19.3%) 627 (22.4%) 600 (24.3%) 186 (41.4%)
Open 1,977
583 (32.0%) 617 (17.9%) 447 (15.9%) 286 (11.6%) 44 (9.8%)
TOP 5 RESPONDING AGENCIES (% of Borough Total)
New York City Police Department 6,867
982 (53.8%) 2,295 (66.7%) 1,671 (59.6%) 1,691 (68.6%) 228 (50.8%)
Department of Housing Preservation and Development 1,876
609 (33.4%) 539 (15.7%) 456 (16.3%) 244 (9.9%) 28 (6.2%)
Department of Sanitation 502
72 (3.9%) 138 (4.0%) 117 (4.2%) 120 (4.9%) 55 (12.2%)
Department of Environmental Protection 461
30 (1.6%) 141 (4.1%) 125 (4.5%) 86 (3.5%) 79 (17.6%)
Department of Transportation 316
33 (1.8%) 83 (2.4%) 93 (3.3%) 78 (3.2%) 29 (6.5%)
TOP 10 SERVICE REQUESTS (% of Borough Total)
Noise - Residential 2,340
354 (19.4%) 835 (24.3%) 615 (21.9%) 420 (17.0%) 116 (25.8%)
Illegal Parking 1,973
297 (16.3%) 781 (22.7%) 313 (11.2%) 542 (22.0%) 40 (8.9%)
Noise - Street/Sidewalk 922
139 (7.6%) 196 (5.7%) 381 (13.6%) 186 (7.5%) 20 (4.5%)
Heat/Hot Water 866
256 (14.0%) 265 (7.7%) 233 (8.3%) 106 (4.3%) 6 (1.3%)
Blocked Driveway 608
79 (4.3%) 209 (6.1%) 24 (0.9%) 272 (11.0%) 24 (5.3%)
Noise - Commercial 464
44 (2.4%) 157 (4.6%) 172 (6.1%) 88 (3.6%) 3 (0.7%)
Unsanitary Condition 251
76 (4.2%) 78 (2.3%) 57 (2.0%) 36 (1.5%) 4 (0.9%)
Noise 213
12 (0.7%) 71 (2.1%) 83 (3.0%) 39 (1.6%) 8 (1.8%)
Noise - Vehicle 161
15 (0.8%) 20 (0.6%) 41 (1.5%) 77 (3.1%) 8 (1.8%)
Plumbing 158
62 (3.4%) 37 (1.1%) 35 (1.2%) 21 (0.9%) 3 (0.7%)
Prepared by: Isaac H. Michaels, DrPH
Data Source: NYC Open Data
Data as of: November 02, 2026

Table Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data



Complaint Volume


Trend

Longitudinal tracking over a 30-day rolling baseline separates acute operational anomalies from systemic seasonal trends. The visualizations below plot the daily volume to identify sudden spikes in municipal demand, both citywide and localized by borough.


Overall

An area chart showing the total daily volume of NYC 311 complaints over the past 30 days.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data


By Borough

A grid of five area charts showing the 30-day daily complaint volume separated by each New York City borough.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data



By Complaint Type

By aggregating the top 25 service requests over the preceding month, this chart establishes the baseline operational burden for city agencies, isolating the most frequent environmental and infrastructural failures.

A horizontal bar chart ranking the top 25 most frequent 311 complaint types over the last 30 days.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data



By Community District

While borough-level aggregations provide broad operational context, municipal services are ultimately delivered at the neighborhood level. This chart disaggregates the 30-day complaint volume across all 59 Community Districts, revealing hyper-local hotspots and identifying the specific communities driving the highest demand for city resources.

A horizontal bar chart ranking the top 25 most frequent 311 complaint types over the last 30 days.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data



By Weekday and Hour

311 call volumes follow predictable human and operational rhythms. These heatmaps illustrate the chronobiology of municipal demand, revealing exactly when specific operational shifts (such as weekday mornings versus weekend nights) experience the heaviest reporting burdens.


Overall

A heatmap showing complaint volume by day of the week on the x-axis and hour of the day on the y-axis. Darker tiles indicate higher call volumes.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data


By Weekday, Hour, and Borough

A series of five heatmaps, one for each borough, displaying complaint volume patterns by day of the week and hour of the day.

Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: NYC Open Data



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