Free tool · China & network

City-to-city internet latency

Median round-trip times between major cities over the last 24 hours, measured from independent public probes. This is public internet latency, not our network latency.

Measured by independent public probes (Globalping). This is public internet latency, not our network.

Each destination target is a public host in that city, not ours.

Measurements start with the next scheduled run. The first figures appear within four hours.

The table will show the median round-trip time for each city pair, the seven-day trend and the fiber floor. A pair appears once at least four measurements exist in the last 24 hours.

As of Nov 10, 2026, 3:01 AM

City pairs
OriginBeijingShanghaiChengduShenzhenHong KongTaipeiSingaporeTokyo
Toronto224.9 ms floor 129.8 ms · 22 samples312.4 ms floor 140 ms · 17 samples252.5 ms floor 144 ms · 18 samples263.3 ms floor 153.5 ms · 14 samples214.6 ms floor 153.8 ms · 24 samples188.9 ms floor 148.1 ms · 24 samples259.8 ms floor 183.8 ms · 24 samples181.6 ms floor 126.9 ms · 23 samples
Mexico City245.6 ms floor 152.7 ms · 22 samples313.2 ms floor 158.2 ms · 24 samples335.2 ms floor 170.7 ms · 23 samples285.4 ms floor 173 ms · 24 samples199.5 ms floor 173.1 ms · 24 samples178.4 ms floor 164.2 ms · 24 samples214.4 ms floor 203.5 ms · 24 samples164.5 ms floor 138.6 ms · 24 samples
São Paulo342.5 ms floor 215.7 ms · 24 samples412.5 ms floor 227.5 ms · 24 samples403.2 ms floor 208.6 ms · 24 samples414.1 ms floor 221.1 ms · 23 samples328.7 ms floor 221.3 ms · 22 samples299.5 ms floor 230.5 ms · 24 samples354.6 ms floor 195.9 ms · 24 samples264.3 ms floor 227.2 ms · 24 samples
Buenos Aires407.8 ms floor 236.1 ms · 24 samples454 ms floor 240.7 ms · 23 samples406.9 ms floor 224.4 ms · 24 samples413.4 ms floor 226.5 ms · 23 samples358.5 ms floor 226.4 ms · 24 samples318.5 ms floor 232.2 ms · 24 samples375.7 ms floor 194.6 ms · 24 samples297.1 ms floor 225.2 ms · 23 samples
Santiago390 ms floor 233.6 ms · 16 samples414.8 ms floor 231 ms · 21 samples372.7 ms floor 238 ms · 20 samples392.8 ms floor 229.4 ms · 18 samples313.8 ms floor 229 ms · 24 samples296 ms floor 226.8 ms · 23 samples371.8 ms floor 201 ms · 24 samples267.8 ms floor 211.3 ms · 24 samples
Lima335.4 ms floor 204 ms · 24 samples375.7 ms floor 210.3 ms · 24 samples349.6 ms floor 220 ms · 24 samples349.4 ms floor 225 ms · 23 samples286 ms floor 225 ms · 22 samples253.1 ms floor 215.5 ms · 24 samples334.9 ms floor 230.7 ms · 24 samples237.6 ms floor 189.9 ms · 24 samples
Bogotá331.9 ms floor 183.1 ms · 24 samples378.8 ms floor 192.3 ms · 23 samples376.7 ms floor 197.1 ms · 24 samples334.9 ms floor 206.6 ms · 24 samples272.9 ms floor 206.8 ms · 24 samples233.8 ms floor 199.8 ms · 24 samples300.6 ms floor 236.5 ms · 24 samples230 ms floor 175.4 ms · 23 samples
London266.5 ms floor 99.8 ms · 22 samples394.2 ms floor 112.7 ms · 24 samples318.6 ms floor 101.6 ms · 23 samples298 ms floor 117.6 ms · 24 samples243.6 ms floor 118 ms · 24 samples261.6 ms floor 119.9 ms · 23 samples248.3 ms floor 132.9 ms · 24 samples249.6 ms floor 117.1 ms · 24 samples
Frankfurt215.7 ms floor 95.4 ms · 24 samples351 ms floor 108.1 ms · 23 samples266.3 ms floor 95.7 ms · 24 samples265.7 ms floor 111.9 ms · 23 samples165.3 ms floor 112.3 ms · 22 samples277.9 ms floor 114.9 ms · 24 samples179.1 ms floor 125.7 ms · 24 samples238.4 ms floor 114.4 ms · 24 samples
Paris221.9 ms floor 100.7 ms · 24 samples330.7 ms floor 113.5 ms · 24 samples264.3 ms floor 101.5 ms · 24 samples262.4 ms floor 117.6 ms · 24 samples231.5 ms floor 118 ms · 24 samples274.1 ms floor 120.5 ms · 24 samples179 ms floor 131.5 ms · 24 samples251.1 ms floor 119 ms · 23 samples
Madrid256.4 ms floor 113 ms · 18 samples386.7 ms floor 125.7 ms · 23 samples296.4 ms floor 112.5 ms · 20 samples272.5 ms floor 128.8 ms · 22 samples206.8 ms floor 129.2 ms · 24 samples295.4 ms floor 132.3 ms · 23 samples265.9 ms floor 139.5 ms · 23 samples255.8 ms floor 131.9 ms · 24 samples
Amsterdam238.8 ms floor 95.9 ms · 22 samples330.6 ms floor 108.7 ms · 24 samples272 ms floor 97.3 ms · 24 samples263.9 ms floor 113.4 ms · 23 samples182.7 ms floor 113.7 ms · 22 samples279.8 ms floor 115.9 ms · 24 samples182.1 ms floor 128.6 ms · 23 samples234.3 ms floor 113.8 ms · 24 samples
Dubai271.5 ms floor 71.6 ms · 23 samples252.9 ms floor 78.8 ms · 23 samples177.5 ms floor 58.8 ms · 24 samples259.3 ms floor 72.8 ms · 24 samples200.4 ms floor 73.1 ms · 24 samples126.8 ms floor 80.9 ms · 24 samples159.8 ms floor 71.5 ms · 24 samples222.9 ms floor 97.2 ms · 23 samples
Riyadh280.2 ms floor 80.9 ms · 22 samples427.1 ms floor 88.8 ms · 24 samples325.6 ms floor 69 ms · 23 samples315.4 ms floor 83.3 ms · 24 samples239.4 ms floor 83.6 ms · 24 samples338.6 ms floor 91.2 ms · 23 samples244.8 ms floor 81.5 ms · 24 samples303.6 ms floor 106.5 ms · 24 samples
Istanbul242.3 ms floor 86.5 ms · 18 samples389.9 ms floor 97.9 ms · 17 samples293.3 ms floor 81.7 ms · 17 samples298 ms floor 97.9 ms · 18 samples231.7 ms floor 98.3 ms · 22 samples313.3 ms floor 103.2 ms · 24 samples217.3 ms floor 105.9 ms · 23 samples281.5 ms floor 109.6 ms · 24 samples
Singapore72 ms floor 54.8 ms · 21 samples275.4 ms floor 46.6 ms · 24 samples103.4 ms floor 39.8 ms · 24 samples107.5 ms floor 31.9 ms · 23 samples42.8 ms floor 31.8 ms · 24 samples49.3 ms floor 39.8 ms · 24 samples—73.1 ms floor 65.1 ms · 24 samples
Jakarta93.3 ms floor 64 ms · 23 samples112.6 ms floor 54.5 ms · 22 samples118.3 ms floor 50.3 ms · 24 samples118.4 ms floor 40.3 ms · 23 samples59.4 ms floor 40.1 ms · 24 samples133.3 ms floor 46.8 ms · 24 samples18 ms floor 11.1 ms · 24 samples88.2 ms floor 70.9 ms · 24 samples
Bangkok228 ms floor 40.4 ms · 24 samples131.5 ms floor 35.4 ms · 24 samples147.9 ms floor 23.3 ms · 24 samples142.4 ms floor 21.2 ms · 24 samples67.3 ms floor 21.3 ms · 23 samples83.8 ms floor 31.1 ms · 22 samples41.5 ms floor 17.5 ms · 24 samples109.9 ms floor 56.4 ms · 24 samples
Ho Chi Minh City252.9 ms floor 41.4 ms · 24 samples454.6 ms floor 33.5 ms · 24 samples291 ms floor 27.1 ms · 23 samples294.6 ms floor 18.7 ms · 22 samples36.2 ms floor 18.6 ms · 24 samples84.9 ms floor 27.3 ms · 24 samples30.7 ms floor 13.5 ms · 24 samples110.7 ms floor 53 ms · 24 samples
Kuala Lumpur82.7 ms floor 53.3 ms · 23 samples105.5 ms floor 45.9 ms · 22 samples106.4 ms floor 37.5 ms · 24 samples115.5 ms floor 31.1 ms · 23 samples118.2 ms floor 31 ms · 24 samples209.6 ms floor 39.6 ms · 24 samples10.6 ms floor 3.8 ms · 23 samples74.2 ms floor 65.2 ms · 24 samples

Measured by independent public probes (Globalping). This is public internet latency, not our network.

Toronto
Mexico City
São Paulo
Buenos Aires
Santiago
Lima
Bogotá
London
Frankfurt
Paris
Madrid
Amsterdam
Dubai
Riyadh
Istanbul
Singapore —
Jakarta
Bangkok
Ho Chi Minh City
Kuala Lumpur

City pairs

{origin} → {destination}

Measured by independent public probes (Globalping). This is public internet latency, not our network.

Show data

How this works and its limits

Each figure is the median round-trip time over the last 24 hours from independent Globalping probes in the origin city to a public host in the destination city. The target is a university or research-network host, not ours. The table uses 20 measurement origins in 20 countries across the Americas, Europe, the Middle East and Southeast Asia. Origins are measurement points, not a service map. We keep one probe per city pair per hour, spread across the hour.

The table shows the current median, a seven-day sparkline and a change against the previous week. Select a cell for the time series, the probe network, the loss and the fiber floor. A pair with fewer than four samples in the last 24 hours shows no figure rather than an estimate.

The fiber floor is the lower bound for the round trip: twice the great-circle distance times 1.25, divided by 204 km/ms, the speed of light in fiber. Real paths are longer. A measured value below the floor is a data problem, not a fast route.

Data sources and licences

Operator names, brands and codes shown here are public reference data compiled from national regulators and other public sources. Their appearance does not indicate any partnership, endorsement, agreement or connectivity between unicomam.com and the named operators. All trademarks belong to their owners. Data is provided “as is” with no warranty; verify against the official source before relying on it for routing, billing or compliance decisions.

Regulatory information is for reference only and is not legal advice; check the regulator link and the “last verified” date.

Measurements powered by Globalping (opens in a new tab), a public measurement network; results and targets are public under Globalping’s terms.

What changes public city-to-city latency

Distance sets the floor. Light in fiber covers about 204 km per millisecond, and a real cable route is about 1.25 times the straight line. The table shows that floor next to every measured value so the two can be compared.

On top of distance, a packet crosses public networks. Their peering, congestion and the time of day move the median. A seven-day trend says more than one reading. A probe or network change is marked separately, because a different probe is a step change, not a quality change.

For a private path, find a submarine-cable route or ask for a quote. The table itself measures public internet latency only.

Frequently asked questions

How is the latency measured?

Independent Globalping probes in the origin city ping a public host in the destination city, three packets, once an hour. We store the median, the spread and the packet loss. The host is not ours.

Why a university or research-network target?

Those hosts publish a stable address, sit in one city and are not anycast. A CDN or anycast target would answer from a nearby edge and stop measuring the city pair.

Why is there no figure for some pairs?

We show a figure only with at least four samples in the last 24 hours. Failed probes count toward availability, not toward the median. We never fill gaps with estimates.