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MTR Ridership (Passenger Volumes)

MTR Corporation

CSV / XLSX Monthly aggregate. Published ~4 weeks after month end.

~5.5M
Daily Journeys (2023)
Monthly
Update Frequency
Per Station
Granularity
FieldTypeExampleDescription
YEARinteger2023Year
MONTHinteger10Month
LINEstringISLLine code
STATION_CODEstringSHWStation code
STATION_NAMEstringSheung WanStation name
ENTRIESinteger48230Daily average passenger entries
EXITSinteger47890Daily average passenger exits
TOTAL_JOURNEYSinteger96120Total daily station throughput

Fields based on MTR monthly traffic statistics format. Exact column names may vary by file vintage.

Terminal window
# CKAN search for MTR ridership data
curl "https://data.gov.hk/en-data/api/3/action/package_search?q=MTR+passenger+journeys+station"
# MTR open data portal (check for CSV downloads)
curl "https://opendata.mtr.com.hk/" -I
YEAR | MONTH | STATION | ENTRIES | EXITS | TOTAL
2023 | 10 | Sheung Wan | 48,230 | 47,890 | 96,120
2023 | 10 | Central | 142,800 | 141,200 | 284,000
2023 | 10 | Sai Ying P | 31,400 | 30,890 | 62,290
2023 | 10 | Admiralty | 89,600 | 88,100 | 177,700
ModelHow
Gravity ModelOi origin mass: station ridership as proxy for zone-level foot traffic potential
Regression ModelAccessibility variable — ridership at nearest station as site quality indicator
  • MTR does not publish per-hour station data publicly — use TransUnifier or academic datasets for temporal patterns
  • Ridership recovered to ~90% of pre-COVID levels by 2023 — use 2018/2019 as baseline for “normal” demand
  • Station ridership ≠ catchment population: many residents use other transport modes