Request
We are developing a free mobile and web application that provides New York City residents with unified real-time (or near-real-time) visibility into their water, electricity, and gas usage, along with intelligent alerts for anomalies such as leaks or unusual consumption patterns.
Dataset requested:
We would like to see a publicly available dataset on NYC Open Data that includes anonymized, aggregated, or building-level water consumption data from the Automated Meter Reading (AMR) or Advanced Metering Infrastructure (AMI) systems. Ideal fields would include:
- Meter or building identifier (anonymized)
- Consumption readings (e.g., daily, weekly, or hourly intervals in gallons or cubic feet)
- Timestamp of readings
- Geographic information at the borough, neighborhood, or ZIP code level (aggregated to protect privacy)
- Optional: Property type (residential, multi-family, etc.) or meter size for context
Question we are trying to answer:
How can we empower individual tenants, homeowners, and landlords to detect and reduce unnecessary water waste in real time? Specifically, we want to build better anomaly detection models that identify leaks, over-irrigation, or inefficient usage patterns early, before they result in high bills or property damage.
How this dataset would help:
Access to more granular, timely water usage data would allow us to create accurate baselines for normal consumption patterns across different building types and neighborhoods. This would improve the app’s AI-driven alerts, helping residents and property managers catch issues faster and conserve water more effectively. Ultimately, this supports NYC’s broader goals of reducing water waste, lowering system strain, and promoting sustainability — while making conservation tools more accessible and actionable for everyday New Yorkers.
We are committed to using any data responsibly, in full compliance with privacy standards, and only to deliver public benefit through consumer-facing conservation tools.