What In the 311? There Is No National Standard Dialing 311
Consumer.info analyzed 22.7 million public service requests from New York City, Houston, and San Antonio. The result is clear: cities are not measuring civic problems in the same way.
A pothole in one city may be recorded as a roadway complaint. In another, it may appear under public works. Somewhere else, it may be placed inside a broad infrastructure category with dozens of unrelated service types.
To residents, 311 looks like a common public service. To the data, it is anything but common. Every municipality can define its own categories, subcategories, agency labels, status values, location fields, and resolution language. That freedom helps local operations, but it creates a major national intelligence gap: raw 311 totals cannot be compared fairly until the underlying classifications are translated into a common framework.
The same civic problem can appear under different names, departments, and data structures.
No common category system
New York City uses 271 top-level categories, Houston uses 149, and San Antonio uses 12 broad categories supported by 249 subcategory combinations.
Counts do not mean the same thing
A larger number of requests may reflect population, reporting behavior, service design, category structure, or the years covered—not necessarily worse conditions.
Local data needs a translation layer
Comparable national analysis requires local categories to be preserved while mapping them into shared civic service families.
22.7 million records reveal three different civic operating systems.
Each city’s 311 data reflects a different theory of government service.
New York City uses a highly specialized complaint taxonomy centered on the resident experience. Its largest categories include residential noise, illegal parking, heat and hot water, street and sidewalk noise, and bulky-item collection.
Houston’s leading categories emphasize infrastructure operations and basic service delivery: nuisances on property, water leaks, sewer and wastewater, container problems, missed garbage pickup, traffic signals, drainage, and potholes.
San Antonio uses broad departmental categories and places much of the operational detail in subcategories. Solid waste, property maintenance, animals, streets, traffic signals, parks, and health account for nearly all requests.
San Antonio’s 311 system is broad at the top and detailed underneath.
The five largest categories account for 94.77% of San Antonio’s records. In Houston, the five largest categories account for 31.79%. In New York City, they account for 39.98%. That does not mean San Antonio has fewer types of problems. It means the city organizes them into broader top-level groups.
There is no shared national language for local service requests.
Even when two cities appear to use the same term, the fields surrounding that term may be different. One city may provide a full written agency outcome. Another may provide only an internal service code. Another may place a street address inside a field labeled as a resolution.
New York City
- Detailed complaint categories
- Detailed subcategories
- Written agency outcomes
- ZIP, borough, and coordinates
Houston
- Detailed operational categories
- Internal service codes
- No comparable outcome narrative
- Coordinates available; ZIP absent
San Antonio
- Broad categories
- Detailed service subcategories
- Location description available
- ZIP and council district available
Some local categories already match. Most require interpretation.
Exact normalized matches were found across multiple cities for several service types. Those matches show that a national framework is possible, but they represent only a small share of the full local taxonomies.
The next step is not to erase local terminology. It is to preserve each city’s original categories while adding a governed national layer above them.
A National Civic Service Taxonomy
A high number of 311 requests is not automatically evidence of poor government performance.
Request volume can rise because residents trust the system, because reporting tools are easy to use, because the city publishes more service types, or because one request generates multiple records. It can also rise because conditions are deteriorating. Those explanations cannot be separated by totals alone.
Access
Can residents easily submit a request by phone, web, app, or text?
Coverage
How many departments and service types are included in the public dataset?
Behavior
Do residents use 311 heavily, or do they report problems through other channels?
Resolution
Does the system show whether the issue was inspected, corrected, referred, or closed?
America has thousands of local civic service systems—but no common national standard for understanding them.
The absence of a standard does not make local 311 data unusable. It makes translation essential. Cities should retain the categories that work for their operations. Researchers, journalists, and policymakers need a shared layer that makes equivalent services comparable across jurisdictions.
That is the difference between counting complaints and building civic intelligence.
How Consumer.info analyzed the records
Consumer.info standardized public 311 records from New York City, Houston, and San Antonio into a common civic-response backbone. The analysis preserved source categories and examined record counts, category structure, subcategory depth, semantic field quality, geographic completeness, and category concentration.
The datasets cover different time periods and populations. Houston’s source covers 2016, San Antonio’s records span 2018 through early 2026, and the New York City records span 2020 through 2026. The analysis therefore does not treat raw totals as a direct measure of city performance. Its principal finding concerns data structure: the three systems classify and describe civic requests differently.
Explore Consumer Intelligence
Browse our growing collection of consumer intelligence, complaint investigations, company profiles, rankings, maps, and financial research.
Complaints
Consumer complaint trends, investigations, and analysis.
Companies
Company profiles, complaint history, and accountability.
Credit
Credit reporting, credit scores, disputes, and credit intelligence.
Debt
Debt collection, collections, repayment, and consumer protections.
Banking
Banks, fintech, checking accounts, payment systems, and financial services.
Mortgages
Mortgage lenders, servicing, foreclosures, and home finance.
Loans
Auto loans, student loans, payday loans, and personal lending.
Identity Theft
Identity protection, recovery, monitoring, and fraud prevention.
Scams & Fraud
Fraud alerts, scam investigations, phishing, and consumer warnings.
Lawsuits
Consumer litigation, settlements, enforcement actions, and class actions.
Investigations
Data-driven investigative journalism and consumer accountability.
Rankings
Top companies, worst offenders, complaint rankings, and scorecards.
Maps
Interactive complaint maps, ZIP rankings, and geographic intelligence.
States
Consumer intelligence by state.
Cities
Complaint trends and company intelligence by city.
Research
Methodologies, datasets, technical papers, and evidence.
Consumer Guides
Know your rights and learn how to solve common consumer problems.
Data Center
Interactive dashboards, APIs, downloadable datasets, and statistics.
