Traffic Statistics

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

Data: 19 Oct 2026, 08:34 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 Fair

75%

based on 9,621 of 12,514 trains with RT data

Punctual = less than 3 min late. The 2,893 trains without data do not count.

Average delay

2.7min

mean over the 9,621 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

24.8%

2,389 of 9,621 trains with data are 3 min or more late

The complement of punctuality: 75 % + 25 % = 100 % of trains with data.

Average delay of delayed trains

10.7min

mean over the 2,389 trains 3 min or more late only

Measures severity when there is a delay. Not comparable with the overall “average delay”. Maximum now: 118.0 min.

Punctuality league · now

Trains running right now. Sortable by column. The vertical line on each bar marks the 30 % threshold.

Sort by

Rank
1	🇯🇵 Japan 92 % at 0 s: 135 of 147 trains report exactly 0 s: the feed may be padding the delay with 0.	147 / 176	99 %	0.1 min
2	🇳🇱 Netherlands 98 % at 0 s: 490 of 498 trains report exactly 0 s: the feed may be padding the delay with 0.	498 / 573	99 %	0.1 min
3	🇨🇭 Switzerland	788 / 871	97 %	0.4 min
4	🇫🇮 Finland	114 / 128	88 %	1.2 min
5	🇧🇬 Bulgaria	63 / 65	87 %	0.8 min
6	🇦🇺 Australia	658 / 791	80 %	2.0 min
7	🇸🇪 Sweden	85 / 92	80 %	1.7 min
8	🇵🇱 Poland	653 / 667	80 %	2.7 min
9	🇳🇴 Norway	111 / 111	78 %	2.1 min
10	🇫🇷 France	1,077 / 1,095	75 %	4.3 min
11	🇬🇧 United Kingdom	1,940 / 1,951	73 %	1.8 min
12	🇩🇪 Germany	2,317 / 2,675	72 %	3.2 min
13	🇺🇸 United States	86 / 102	62 %	4.8 min
14	🇮🇪 Ireland	80 / 99	53 %	3.6 min
15	🇪🇸 Spain	689 / 796	50 %	6.4 min
16	🇮🇹 Italy	186 / 209	39 %	4.0 min

Not enough data · 14 countries outside the ranking

With fewer than 30 % of trains reporting data, punctuality describes a minority that need not resemble the rest (e.g. one operator only). They are not ranked and their percentage is not shown as if it were the country's. Their 2,113 trains do appear on the map.

Country	Trains with data / total	Coverage	Reason
🇨🇦 Canada	6 / 8		Small sample (6 < 20)
🇨🇿 Czechia	123 / 580		Only 21.2% of trains with data (minimum 30%)

No realtime delay feed (12):

🇧🇪 Belgium · 343 trains
🇩🇰 Denmark · 287 trains
🇷🇴 Romania · 207 trains
🇲🇾 Malaysia · 169 trains
🇸🇰 Slovakia · 146 trains
🇵🇹 Portugal · 119 trains
🇮🇱 Israel · 69 trains
🇭🇷 Croatia · 58 trains
🇱🇺 Luxembourg · 53 trains
🇸🇮 Slovenia · 42 trains
🇱🇻 Latvia · 23 trains
🇪🇪 Estonia · 9 trains

Trend · 30 days

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

2,710,075 services with data over 28 days. 14–18 countries per day.

Delay Distribution · now

Over the 9,621 trains with RT data (not the 12,514 on the map).

Early or on time 57.9 %
< 3 min 17.3 %
3-5 min 7.3 %
5-10 min 9.1 %
10-20 min 5.2 %
> 20 min 3.1 %

Punctual (< 3 min) 3–10 min 10-20 min > 20 min

Historical Punctuality

Weighted by services: a day with 4,000 trains weighs more than one with 400.

Rank	Country	Services	Days with data	Punctuality	Average delay
1	🇯🇵 Japan	83,343	28 / 28	94.6 %	0.6 min
2	🇨🇭 Switzerland	268,905	28 / 28	94.0 %	0.5 min
3	🇫🇮 Finland	27,453	26 / 28	88.0 %	1.1 min
4	🇦🇺 Australia	172,795	28 / 28	85.6 %	1.6 min
5	🇸🇪 Sweden	19,990	28 / 28	85.4 %	1.1 min
6	🇳🇴 Norway	16,509	28 / 28	82.7 %	1.9 min
7	🇫🇷 France	160,173	28 / 28	78.9 %	3.2 min
8	🇩🇪 Germany	1,091,117	26 / 28	75.8 %	2.6 min
9	🇬🇧 United Kingdom	615,689	28 / 28	74.0 %	2.1 min
10	🇨🇿 Czechia	133,110	16 / 28	73.7 %	2.2 min
11	🇺🇸 United States	77,252	28 / 28	70.6 %	3.2 min
12	🇵🇱 Poland	180,198	28 / 28	69.6 %	3.4 min
13	🇮🇪 Ireland	22,554	28 / 28	60.1 %	3.7 min
14	🇮🇹 Italy	21,541	28 / 28	51.2 %	5.1 min
15	🇪🇸 Spain	143,479	28 / 28	42.2 %	8.6 min

Period 20 Sept – 17 Oct. 28 days with data in the system. ⚑ = the country has data on fewer than 50 % of those days (14); none in this period. Average delay = mean over all trains with data, weighted by services.

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.

Station	n	Punctuality	Average delay
Madrid-Puerta de Atocha-Almudena Grandes	13	0 %	11.0 min
Paris Gare de Lyon Hall 1 - 2	15	20 %	32.3 min
Barcelona-Sants	15	20 %	10.5 min
Madrid-Chamartín-Clara Campoamor	29 / 30	38 %	8.7 min
Stuttgart Hbf	14 / 18	50 %	11.5 min
Köln Messe/Deutz	10	50 %	6.8 min
Nürnberg Hbf	15 / 20	53 %	6.0 min
Frankfurt(Main)Hbf	14 / 17	57 %	5.5 min
München-Pasing	12	58 %	4.6 min
Lyon Perrache	10	60 %	6.0 min
Hamburg Hbf	11 / 15	64 %	5.1 min
Mannheim Hbf	12 / 13	67 %	2.3 min
Paris Montparnasse Hall 1 - 2	14	71 %	5.0 min
Hannover Hbf	11 / 16	73 %	1.6 min
Ulm Hbf	12	75 %	2.4 min
Barcelona Estació de França	10	80 %	4.0 min
L'Hospitalet de Llobregat	10	80 %	3.4 min
Bilbao-Intermod. Abando Indalecio Prieto	10	100 %	0.2 min
Nantes	10	100 %	0.0 min

Only 19 of the 7,956 stations with trains approaching meet the minimum right now. With n = 10, a single train moves punctuality by 10 points: that is why n is always shown.

Punctuality by hour

Last 7 days, each country's local time (source: line_delay_hourly). The units are position readings, not trains: a train counts once per reading.

70–90 % fair < 70 % poor Axis from 60 to 90 %

Filters

Station

Punctuality by Type

Click on a bar to filter by that type

1 / 2

Worst Lines

More data by country

Active Services by Country

Country	Services	Delayed	Average delay	RT Data
🇩🇪 Germany	2,675	652	3.2 min	Yes
🇬🇧 United Kingdom	1,951	519	1.8 min	Yes
🇫🇷 France	1,095	272	4.3 min	Yes
🇨🇭 Switzerland	871	26	0.4 min	Yes
🇪🇸 Spain	796	346	6.4 min	Yes
🇦🇺 Australia	791	129	2.0 min	Yes
🇵🇱 Poland	667	133	2.7 min	Yes
🇨🇿 Czechia	580	—	—	No
🇳🇱 Netherlands	573	4	0.1 min	Yes
🇧🇪 Belgium	343	—	—	No
🇩🇰 Denmark	287	—	—	No
🇮🇹 Italy	209	113	4.0 min	Yes
🇷🇴 Romania	207	—	—	No
🇯🇵 Japan	176	1	0.1 min	Yes
🇲🇾 Malaysia	169	—	—	No
🇸🇰 Slovakia	146	—	—	No
🇫🇮 Finland	128	14	1.2 min	Yes
🇵🇹 Portugal	119	—	—	No
🇳🇴 Norway	111	24	2.1 min	Yes
🇺🇸 United States	102	33	4.8 min	Yes
🇮🇪 Ireland	99	38	3.6 min	Yes
🇸🇪 Sweden	92	17	1.7 min	Yes
🇮🇱 Israel	69	—	—	No
🇧🇬 Bulgaria	65	8	0.8 min	Yes
🇭🇷 Croatia	58	—	—	No
🇱🇺 Luxembourg	53	—	—	No
🇸🇮 Slovenia	42	—	—	No
🇱🇻 Latvia	23	—	—	No
🇪🇪 Estonia	9	—	—	No
🇨🇦 Canada	8	—	—	No

How late are the late trains (only trains with any delay, ≤2h; countries with ≥30% coverage)

Country	Median	Average	P90	Maximum	>5min	Total
🇺🇸 United States	10.0 min	15.5 min	35.9 min	59.0 min	25	42
🇫🇷 France	10.0 min	16.9 min	40.0 min	118.0 min	174	273
🇪🇸 Spain	7.0 min	10.6 min	22.0 min	94.0 min	263	423
🇮🇹 Italy	5.0 min	5.8 min	10.0 min	33.0 min	63	149
🇩🇪 Germany	4.0 min	8.2 min	19.0 min	118.0 min	399	940
🇵🇱 Poland	4.0 min	9.2 min	20.2 min	101.0 min	72	200
🇸🇪 Sweden	3.5 min	6.5 min	17.7 min	29.8 min	9	32
🇳🇱 Netherlands	3.4 min	8.4 min	25.3 min	30.4 min	3	8
🇮🇪 Ireland	3.0 min	4.9 min	8.0 min	46.0 min	15	59
🇧🇬 Bulgaria	2.9 min	3.1 min	5.2 min	7.1 min	2	17
🇳🇴 Norway	2.1 min	3.2 min	5.0 min	30.3 min	8	75
🇬🇧 United Kingdom	2.0 min	3.7 min	8.0 min	39.0 min	209	1,070
🇫🇮 Finland	2.0 min	3.3 min	6.7 min	28.7 min	8	43
🇦🇺 Australia	1.9 min	4.1 min	9.1 min	53.7 min	70	337
🇯🇵 Japan	1.0 min	1.4 min	2.0 min	3.0 min	0	12
🇨🇭 Switzerland	0.6 min	1.6 min	2.8 min	30.2 min	14	280

Data Quality by Country

Country	Method	Interpolated	Records
🇦🇺 Australia	gtfs_timed	Yes	70
🇦🇺 Australia	gps	No	721
🇧🇪 Belgium	gtfs_timed	Yes	343
🇧🇬 Bulgaria	gtfs_timed	Yes	65
🇨🇦 Canada	gtfs_timed	Yes	8
🇨🇭 Switzerland	gtfs_timed	Yes	871
🇨🇿 Czechia	gtfs_timed	Yes	457
🇨🇿 Czechia	gps	No	123
🇩🇪 Germany	gtfs_timed	Yes	2,675
🇩🇰 Denmark	gtfs_timed	Yes	287
🇪🇪 Estonia	gtfs_timed	Yes	9
🇪🇸 Spain	gps	No	796
🇫🇮 Finland	gps	No	128
🇫🇷 France	gtfs_timed	Yes	1,095
🇬🇧 United Kingdom	gps	No	1,951
🇭🇷 Croatia	gtfs_timed	Yes	58
🇮🇪 Ireland	gps	No	99
🇮🇱 Israel	gtfs_timed	Yes	69
🇮🇹 Italy	gtfs_timed	Yes	209
🇯🇵 Japan	gps	No	29
🇯🇵 Japan	api_timed	Yes	147
🇱🇺 Luxembourg	gtfs_timed	Yes	53
🇱🇻 Latvia	gtfs_timed	Yes	23
🇲🇾 Malaysia	gtfs_timed	Yes	163
🇲🇾 Malaysia	gps	No	6
🇳🇱 Netherlands	api_timed	Yes	257
🇳🇱 Netherlands	gps	No	316
🇳🇴 Norway	gps	No	111
🇵🇱 Poland	gtfs_timed	Yes	667
🇵🇹 Portugal	gtfs_timed	Yes	119
🇷🇴 Romania	gtfs_timed	Yes	207
🇸🇪 Sweden	gps	No	92
🇸🇮 Slovenia	gtfs_timed	Yes	42
🇸🇰 Slovakia	gtfs_timed	Yes	146
🇺🇸 United States	gps	No	102

Historical Data

88 records

Date	Services	Positions	Punctuality	Average delay
Sat 17 Oct	134,939	14,302,601	79.1 %	2.3 min
Fri 16 Oct	158,868	17,844,016	74.6 %	2.8 min
Thu 15 Oct	157,946	17,714,724	74.2 %	2.8 min
Wed 14 Oct	157,670	17,111,478	74.4 %	2.8 min
Tue 13 Oct	157,891	17,638,453	73.9 %	2.9 min
Mon 12 Oct	155,466	17,259,513	75.3 %	2.8 min
Sun 11 Oct	118,706	12,829,739	82.0 %	1.9 min
Sat 10 Oct	133,837	14,131,381	78.9 %	2.4 min
Fri 09 Oct	159,003	17,565,641	74.7 %	2.9 min
Thu 08 Oct	158,390	17,315,208	74.2 %	2.9 min
Wed 07 Oct	158,739	17,639,653	75.9 %	2.8 min
Tue 06 Oct	158,670	17,556,347	76.9 %	2.5 min
Mon 05 Oct	153,999	16,056,796	77.6 %	2.4 min
Sun 04 Oct	115,985	12,375,758	81.8 %	1.9 min
Sat 03 Oct	127,764	15,375,336	77.1 %	2.2 min
Fri 02 Oct	136,717	17,124,526	75.6 %	2.4 min
Thu 01 Oct	137,474	16,838,843	75.5 %	2.4 min
Wed 30 Sept	136,739	17,336,837	76.5 %	2.4 min
Tue 29 Sept	137,883	17,545,397	77.1 %	2.3 min
Mon 28 Sept	134,951	17,015,261	77.9 %	2.2 min
Sun 27 Sept	111,435	14,957,353	78.0 %	2.2 min
Sat 26 Sept	124,905	16,279,191	75.8 %	2.2 min
Fri 25 Sept	136,829	17,073,752	74.9 %	2.5 min
Thu 24 Sept	136,766	17,500,820	75.3 %	2.4 min
Wed 23 Sept	136,836	17,537,411	74.0 %	2.6 min
Tue 22 Sept	137,146	17,566,133	74.4 %	2.5 min
Mon 21 Sept	137,928	17,480,242	74.8 %	2.5 min
Sun 20 Sept	105,693	13,514,794	78.6 %	2.1 min
Sat 19 Sept	119,872	14,927,587	74.6 %	2.7 min
Fri 18 Sept	134,241	16,324,696	72.7 %	2.7 min
Thu 17 Sept	132,518	16,465,081	73.2 %	2.8 min
Wed 16 Sept	133,752	16,902,488	72.2 %	2.9 min
Tue 15 Sept	133,081	16,737,777	75.4 %	2.4 min
Mon 14 Sept	132,297	16,422,246	75.3 %	2.5 min
Sun 13 Sept	105,760	13,505,724	78.5 %	2.1 min
Sat 12 Sept	118,743	15,021,367	75.1 %	2.5 min
Fri 11 Sept	132,307	16,251,637	73.2 %	2.8 min
Thu 10 Sept	132,617	16,585,010	74.4 %	2.5 min
Wed 09 Sept	129,215	15,886,085	73.6 %	2.8 min
Tue 08 Sept	132,252	16,704,662	74.5 %	2.5 min
Mon 07 Sept	132,523	16,420,645	75.7 %	2.4 min
Sun 06 Sept	106,405	13,572,621	78.9 %	2.1 min
Sat 05 Sept	118,210	14,926,226	74.2 %	2.8 min
Fri 04 Sept	127,625	15,244,162	72.7 %	2.9 min
Thu 03 Sept	126,873	15,202,375	75.1 %	2.5 min
Wed 02 Sept	127,219	15,278,935	76.8 %	5.8 min
Tue 01 Sept	126,813	15,165,243	75.5 %	6.7 min
Mon 31 Aug	126,266	15,158,283	77.6 %	6.6 min
Sun 30 Aug	102,038	11,976,226	81.2 %	6.4 min
Sat 29 Aug	112,774	13,424,281	81.4 %	4.9 min
Fri 28 Aug	130,134	15,291,735	74.2 %	6.3 min
Thu 27 Aug	129,982	15,529,526	74.8 %	6.4 min
Wed 26 Aug	130,277	15,512,515	75.7 %	5.9 min
Tue 25 Aug	135,862	15,812,163	76.7 %	6.5 min
Mon 24 Aug	135,347	15,900,811	74.6 %	7.2 min
Sun 23 Aug	104,342	12,449,325	78.7 %	6.3 min
Sat 22 Aug	117,002	13,789,668	78.2 %	6.2 min
Fri 21 Aug	135,995	15,783,295	74.8 %	7.5 min
Thu 20 Aug	136,326	15,914,899	74.4 %	7.1 min
Wed 19 Aug	136,676	15,772,911	75.6 %	6.7 min
Tue 18 Aug	136,991	15,879,733	75.8 %	6.9 min
Mon 17 Aug	134,846	15,853,329	74.9 %	7.1 min
Sun 16 Aug	105,792	12,555,009	77.3 %	7.1 min
Sat 15 Aug	117,097	13,793,402	69.6 %	7.5 min
Fri 14 Aug	135,148	15,747,649	72.5 %	8.2 min
Thu 13 Aug	134,122	15,742,163	73.7 %	8.0 min
Wed 12 Aug	136,437	16,003,180	74.9 %	6.9 min
Tue 11 Aug	136,640	15,966,402	76.7 %	6.4 min
Mon 10 Aug	135,974	15,953,168	76.2 %	6.8 min
Sun 09 Aug	104,755	12,362,363	77.9 %	6.6 min
Sat 08 Aug	118,492	13,712,296	72.8 %	7.1 min
Fri 07 Aug	135,590	15,794,038	74.5 %	7.5 min
Thu 06 Aug	135,327	15,815,212	76.1 %	6.7 min
Wed 05 Aug	136,805	15,990,623	76.1 %	6.7 min
Tue 04 Aug	135,830	15,779,108	74.9 %	7.3 min
Mon 03 Aug	135,297	15,857,510	75.7 %	7.6 min
Sun 02 Aug	106,232	12,621,173	78.3 %	6.3 min
Sat 01 Aug	118,266	13,823,903	79.9 %	5.9 min
Fri 31 Jul	134,437	15,757,015	74.8 %	7.2 min
Thu 30 Jul	134,492	15,802,565	74.9 %	7.7 min
Wed 29 Jul	135,340	15,852,459	75.3 %	7.3 min
Tue 28 Jul	135,345	15,772,390	77.1 %	6.6 min
Mon 27 Jul	134,532	15,841,114	78.4 %	6.7 min
Sun 26 Jul	106,162	13,031,939	77.8 %	6.9 min
Sat 25 Jul	117,107	15,002,769	72.6 %	7.0 min
Fri 24 Jul	134,905	16,626,837	76.7 %	6.7 min
Thu 23 Jul	134,052	16,490,821	78.3 %	6.4 min
Wed 22 Jul	136,127	16,911,040	77.6 %	6.7 min

Sources: current_positions, daily_stats and line_delay_hourly · 19 Oct 2026, 08:34 CEST

Current punctuality (<3 min)