MTA Subway Customer Journey Time Metrics Since 2015

New York City's Metropolitan Transportation Authority provides monthly performance metrics for subway lines beginning in 2015. The dataset estimates customer delays using metrics like Additional Journey Time and Customer Journey Time Performance. It is published by data.ny.gov.

Use Cases

• Analyze trends in `over_five_mins_perc` and `customer journey time performance` to identify service reliability issues by `line`.
• Model the relationship between `num_passengers` and delay metrics like `total_apt` and `total_att` to assess crowding impacts.
• Forecast `additional train time` and `additional platform time` for specific `line` and `period` combinations using historical monthly data.
• Compare delay components (`total_apt` vs `total_att`) across `division` to prioritize infrastructure or operational improvements.

Strengths

• Data covers multiple years of monthly performance records beginning in 2015.
• Includes multiple specific delay metrics like Additional Platform Time and Additional Train Time.

Limitations

• Exact row count and sample size are unknown, limiting assessment of statistical power.
• Data is aggregated monthly, missing granular daily or trip-level insights.
• Metrics are estimates for unlinked trips, not actual measured door-to-door journey times.

Provenance

Source

data.ny.gov

Time Range

Beginning 2015

Freshness

Updated as of March 2026.

Geography

New York City Metropolitan Transportation Authority subway system