Traffic Statistics · 🇫🇷 France

Live and recent days. Every figure says how many trains it is based on.

Data: 4 Oct 2026, 10:22 CEST

One coverage rule across the page. A train "has data" when its realtime feed reports a valid delay (between −60 and +120 min). Punctuality is computed over those trains only: trains without data never count as on time. A country enters a ranking when at least 30% of its trains have data and there are 20 or more; a station, with 10 or more. On time = under 3 min late.

Current punctuality (<3 min)

Current punctuality Fair
87%
based on 535 of 550 trains with RT data
Punctual = less than 3 min late. The 15 trains without data do not count.
Average delay
1.9min
mean over the 535 trains with data
Includes on-time (0) and early (negative) trains. It is the only definition of “average delay” on this page.
% of trains delayed
12.7%
68 of 535 trains with data are 3 min or more late
The complement of punctuality: 87 % + 13 % = 100 % of trains with data.
Average delay of delayed trains
14.8min
mean over the 68 trains 3 min or more late only
Measures severity when there is a delay. Not comparable with the overall “average delay”. Maximum now: 100.0 min.

Trend · 30 days

Daily punctuality, weighted by services (source: daily_stats).

70 %75 %80 %85 %90 %05/0912/0919/0926/0903/1029-day mean: 78.6 %

92,934 services with data over 29 days.

Delay Distribution · now

Over the 535 trains with RT data (not the 550 on the map).

  • Early or on time 87.3 %
  • 5-10 min 6.7 %
  • 10-20 min 3.0 %
  • > 20 min 3.0 %
Punctual (< 3 min) 3–10 min 10-20 min > 20 min

Stations · now

Next stop of running trains, from worst to best punctuality. Only stations with 10 or more trains with data; n = trains with data.

No data available

Punctuality by hour

Last 7 days, local time (Europe/Paris) (source: line_delay_hourly). The units are position readings, not trains: a train counts once per reading.

60 %70 %80 %90 %100 %0h6h12h18h23h
≥ 90 % good 70–90 % fair < 70 % poor Axis from 60 to 100 %

Filters

Punctuality by Type

Click on a bar to filter by that type

Worst Lines

  1. 1 001B Regional 60.0 % 24.0 min
  2. 2 P12 Regional 60.0 % 4.0 min
  3. 3 C7 Regional 66.7 % 17.5 min
  4. 4 K7 Regional 66.7 % 7.8 min
  5. 5 K13 Regional 80.0 % 7.0 min
  6. 6 C1 Regional 80.0 % 6.0 min
  7. 7 C10 Regional 80.0 % 6.0 min
  8. 8 180A Regional 80.0 % 1.0 min
  9. 9 K21 Regional 80.0 % 1.0 min
  10. 10 K2 Regional 80.0 % 1.0 min

Historical Data 🇫🇷 France

86 records
DateServicesPositionsPunctuality Average delay Median P90
Sat 03 Oct2,644724,977 77.4 % 3.8 min 0.0 min 10.0 min
Fri 02 Oct3,142960,596 75.0 % 3.2 min 0.0 min 10.0 min
Thu 01 Oct3,473987,870 73.1 % 3.8 min 0.0 min 10.0 min
Wed 30 Sept4,0211,103,167 75.8 % 3.7 min 0.0 min 10.0 min
Tue 29 Sept3,7861,036,689 76.2 % 3.2 min 0.0 min 10.0 min
Mon 28 Sept3,7781,022,787 73.3 % 4.0 min 0.0 min 10.0 min
Sun 27 Sept2,634802,802 79.1 % 3.3 min 0.0 min 10.0 min
Sat 26 Sept2,389757,166 80.4 % 3.3 min 0.0 min 10.0 min
Fri 25 Sept3,239986,983 76.2 % 3.2 min 0.0 min 10.0 min
Thu 24 Sept3,5971,014,208 78.0 % 3.3 min 0.0 min 10.0 min
Wed 23 Sept4,1131,114,352 78.9 % 3.1 min 0.0 min 10.0 min
Tue 22 Sept3,7561,027,040 79.7 % 3.1 min 0.0 min 10.0 min
Mon 21 Sept3,9391,056,256 81.9 % 2.6 min 0.0 min 5.0 min
Sun 20 Sept2,888851,421 81.1 % 2.9 min 0.0 min 5.0 min
Sat 19 Sept2,752813,059 83.1 % 2.7 min 0.0 min 5.0 min
Fri 18 Sept3,4821,029,628 77.8 % 3.3 min 0.0 min 10.0 min
Thu 17 Sept3,6651,024,791 77.6 % 3.2 min 0.0 min 10.0 min
Wed 16 Sept4,1981,145,852 80.5 % 2.7 min 0.0 min 10.0 min
Tue 15 Sept3,6881,023,460 76.7 % 3.3 min 0.0 min 10.0 min
Mon 14 Sept3,8731,049,303 79.4 % 2.8 min 0.0 min 10.0 min
Sun 13 Sept2,948857,611 80.0 % 2.7 min 0.0 min 10.0 min
Sat 12 Sept2,750832,354 80.2 % 3.1 min 0.0 min 10.0 min
Fri 11 Sept3,5071,034,135 79.7 % 2.6 min 0.0 min 5.0 min
Thu 10 Sept3,7411,029,222 79.7 % 2.7 min 0.0 min 10.0 min
Wed 09 Sept4,2641,141,986 81.3 % 2.5 min 0.0 min 5.0 min
Tue 08 Sept3,8891,047,548 77.9 % 3.9 min 0.0 min 10.0 min
Mon 07 Sept3,9501,051,416 80.1 % 2.9 min 0.0 min 10.0 min
Sun 06 Sept2,948849,276 81.6 % 2.4 min 0.0 min 5.0 min
Sat 05 Sept2,688805,431 81.5 % 2.6 min 0.0 min 5.0 min
Fri 04 Sept3,4721,034,296 77.9 % 2.9 min 0.0 min 10.0 min
Thu 03 Sept3,7101,035,231 79.8 % 2.9 min 0.0 min 10.0 min
Wed 02 Sept4,2351,149,681 80.9 % 15.5 min 10.0 min 40.0 min
Tue 01 Sept3,7451,034,392 82.7 % 15.5 min 10.0 min 35.0 min
Mon 31 Aug4,3271,125,401 83.3 % 13.8 min 10.0 min 30.0 min
Sun 30 Aug2,859816,882 81.8 % 14.3 min 10.0 min 30.0 min
Sat 29 Aug2,722850,500 79.6 % 15.5 min 10.0 min 30.0 min
Fri 28 Aug4,1131,153,994 78.1 % 15.1 min 10.0 min 35.0 min
Thu 27 Aug4,3741,149,953 75.4 % 21.5 min 10.0 min 60.0 min
Wed 26 Aug4,8421,254,649 79.2 % 14.9 min 10.0 min 35.0 min
Tue 25 Aug4,4141,150,151 78.8 % 16.3 min 10.0 min 40.0 min
Mon 24 Aug4,5251,164,773 79.4 % 17.0 min 10.0 min 40.0 min
Sun 23 Aug3,097882,043 79.1 % 17.5 min 10.0 min 45.0 min
Sat 22 Aug2,958880,827 78.9 % 16.3 min 10.0 min 40.0 min
Fri 21 Aug4,1951,158,779 77.8 % 14.9 min 10.0 min 30.0 min
Thu 20 Aug4,4351,151,797 81.0 % 14.5 min 10.0 min 30.0 min
Wed 19 Aug4,8941,249,793 83.1 % 14.8 min 10.0 min 35.0 min
Tue 18 Aug4,4481,149,093 80.4 % 15.2 min 10.0 min 30.0 min
Mon 17 Aug4,6221,173,256 77.3 % 14.5 min 10.0 min 35.0 min
Sun 16 Aug3,243896,706 78.6 % 16.3 min 10.0 min 35.0 min
Sat 15 Aug3,410930,613 76.6 % 16.1 min 10.0 min 40.0 min
Fri 14 Aug4,4901,186,840 75.2 % 17.4 min 10.0 min 45.0 min
Thu 13 Aug4,6781,176,737 76.4 % 16.2 min 10.0 min 35.0 min
Wed 12 Aug5,1221,277,214 77.5 % 16.4 min 10.0 min 40.0 min
Tue 11 Aug4,6991,179,640 80.3 % 15.2 min 10.0 min 35.0 min
Mon 10 Aug4,8061,189,844 80.4 % 15.3 min 10.0 min 30.0 min
Sun 09 Aug3,306901,065 80.6 % 17.7 min 10.0 min 45.0 min
Sat 08 Aug3,569962,032 79.4 % 17.2 min 10.0 min 45.0 min
Fri 07 Aug4,5361,201,082 81.8 % 15.6 min 10.0 min 35.0 min
Thu 06 Aug4,7191,186,197 81.6 % 13.6 min 10.0 min 30.0 min
Wed 05 Aug5,1631,271,231 81.1 % 14.1 min 10.0 min 30.0 min
Tue 04 Aug4,7951,190,054 81.7 % 14.5 min 10.0 min 30.0 min
Mon 03 Aug4,9761,210,507 78.2 % 16.1 min 10.0 min 40.0 min
Sun 02 Aug3,275904,201 81.7 % 16.1 min 10.0 min 40.0 min
Sat 01 Aug3,552967,449 81.7 % 14.3 min 10.0 min 30.0 min
Fri 31 Jul4,6101,211,269 82.4 % 15.1 min 10.0 min 35.0 min
Thu 30 Jul4,7731,194,273 81.9 % 15.6 min 10.0 min 40.0 min
Wed 29 Jul5,2251,291,098 78.9 % 15.0 min 10.0 min 35.0 min
Tue 28 Jul4,8311,198,169 81.2 % 15.6 min 10.0 min 35.0 min
Mon 27 Jul4,9091,198,496 82.0 % 16.2 min 10.0 min 40.0 min
Sun 26 Jul3,365899,487 82.4 % 17.1 min 10.0 min 45.0 min
Sat 25 Jul3,6711,004,352 78.6 % 16.6 min 10.0 min 35.0 min
Fri 24 Jul4,6871,246,415 77.6 % 16.1 min 10.0 min 35.0 min
Thu 23 Jul4,8701,226,889 79.8 % 16.0 min 10.0 min 40.0 min
Wed 22 Jul5,3501,338,991 79.6 % 17.6 min 10.0 min 40.0 min
Tue 21 Jul4,9841,235,012 77.9 % 16.0 min 10.0 min 40.0 min
Mon 20 Jul5,0931,253,054 76.7 % 17.4 min 10.0 min 40.0 min
Sun 19 Jul3,6261,007,914 77.3 % 16.4 min 10.0 min 40.0 min
Sat 18 Jul2,35460,058 75.3 % 16.1 min 10.0 min 35.0 min
Fri 17 Jul1,82015,789 73.2 % 18.2 min 10.0 min 40.0 min
Thu 16 Jul3,20932,255 78.5 % 15.7 min 10.0 min 40.0 min
Wed 15 Jul5,5121,337,091 74.4 % 17.8 min 10.0 min 40.0 min
Tue 14 Jul5,4451,344,520 72.5 % 20.5 min 15.0 min 50.0 min
Mon 13 Jul4,6441,180,355 71.4 % 26.0 min 15.0 min 80.0 min
Sun 12 Jul3,581948,402 76.0 % 21.0 min 10.0 min 55.0 min
Sat 11 Jul3,654903,288 72.7 % 15.6 min 10.0 min 35.0 min
Fri 10 Jul44019,840 55.0 % 19.3 min 10.0 min 50.0 min

Sources: current_positions, daily_stats and line_delay_hourly · 4 Oct 2026, 10:22 CEST