ICMP RTT data from São Paulo, Brazil to Tokyo, Japan: average latency, jitter, packet loss, and route efficiency for GRU-TYO.

🇧🇷 São Paulo, Brazil (GRU) → 🇯🇵 Tokyo, Japan (TYO)

Measurement round: 2026-08-15T04:03:13Z.

The 50 ICMP echo measurements from São Paulo to Tokyo in the 2026-08-15T04:03:13Z round averaged 229.6 ms, spanning a minimum of 220.57 ms and a maximum of 256.37 ms. There was no packet loss, but the 8.09 ms jitter and 9.16 ms standard deviation make the variation noticeable even though the average latency is moderate for the distance.

Tokyo lies about 18,530.2 km from São Paulo, giving a vacuum round-trip floor of 123.62 ms and a fiber floor of 181.46 ms. At 229.6 ms average, the route runs 1.27 times the fiber floor, which corresponds to 79% fiber efficiency — very close to the practical optical best for such a long path.

The route ranks 13th among the 19 outbound paths measured from São Paulo in this round. Its standard-deviation-to-average ratio is about 3.99%, however, above the round's median of 3.08%; the path is efficient in absolute terms but carries more latency fluctuation than the typical outbound route, so averages alone understate the variability.

Latency Summary

Metric	Value
RTT	229.6 ms
Jitter	8.09 ms
Packet Loss	0%
Standard Fiber Floor	181.46 ms
Fiber Efficiency	79%
Latency Tier	Fair
Source Region	South America
Destination Region	Asia Pacific

Ping Measurement Series

The chart below renders the 50-sample ICMP echo measurement round for this route; an accessible table of every sample is included with the chart.

Ping series: GRU → TYO

50 ICMP echo samples at 100 ms intervals · round 2026-08-15T04:03:13Z · avg 229.6 ± 1.30 ms (SE)

Sample distribution: box = interquartile range (222.4–233.3 ms), median 226.1 ms · whiskers = min–max · diamond = round average · each dot is one measured sample.

How to read this chart

The shaded band spans the measured minimum to maximum RTT of all samples collected up to that point, and the thin line traces the running average. The final position therefore matches the round statistics exactly — the band only widens when a new extreme sample arrives.

The dashed line is the round average, and the shaded band at the bottom is the theoretical fiber-optic floor (181.5 ms) for this route.

Full 50-sample dataset

Seq	Offset (ms)	RTT (ms)
1	0	221.20
2	100	220.75
3	200	220.88
4	300	226.84
5	400	222.00
6	500	233.04
7	600	242.54
8	700	227.73
9	800	234.32
10	900	224.42
11	1000	241.94
12	1100	229.90
13	1200	226.30
14	1300	221.59
15	1400	221.77
16	1500	221.11
17	1600	222.91
18	1700	233.34
19	1800	225.97
20	1900	222.13
21	2000	222.39
22	2100	221.68
23	2200	239.68
24	2300	256.37
25	2400	241.18
26	2500	229.28
27	2600	244.12
28	2700	228.24
29	2800	222.61
30	2900	222.35
31	3000	220.57
32	3100	231.75
33	3200	253.83
34	3300	233.34
35	3400	239.20
36	3500	228.17
37	3600	244.09
38	3700	228.42
39	3800	230.23
40	3900	224.80
41	4000	224.35
42	4100	223.63
43	4200	223.91
44	4300	224.16
45	4400	251.24
46	4500	235.69
47	4600	225.92
48	4700	223.96
49	4800	221.21
50	4900	222.95

Download This Route's Data

This route's measurement round is published as open data (CC BY 4.0) in CSV, JSON, and YAML. See About This Measurement for citation guidance.

Download this dataset

Per-route ICMP ping series, released under CC BY 4.0. Uncompressed plain text — no decompression step needed.

CSV JSON YAML Full dataset

Theoretical Fiber Latency

The public physical reference uses the GeoNames city centres for São Paulo (-23.54750, -46.63611) and Tokyo (35.68950, 139.69171). It does not disclose either facility address.

Physical Reference	Value
WGS-84 geodesic distance	18,530.2 km
Vacuum RTT floor	123.62 ms
Standard fiber RTT floor ( $n_g=1.4679$ )	181.46 ms
Low-latency fiber material floor	180.73 ms
Engineering floor (5% path allowance)	190.56 ms
Research 1.33× mapped-fiber reference	241.34 ms
Estimated unamplified path loss	3891.3 dB
Transparent optical spans / inline amplifiers	244 / 243
Published RTT inflation over fiber floor	1.27×

Attenuation is used to estimate the number of 80 km optical spans; it does not directly slow light. See the full theoretical fiber latency, GeoNames, attenuation, and amplifier methodology.

Stability & Trend

The current measurement round (2026-08-15T04:03:13Z) collected 50 ICMP echo samples on this route. Distribution statistics from that round:

Round Statistic	Value
Minimum RTT	220.57 ms
Average RTT	229.6 ms
Maximum RTT	256.37 ms
Standard deviation	9.16 ms
Stdev / average	4.0%

RTT trend

Estimated route stability across the selected time window.

Average: 229.8 ms
Minimum: 227.8 ms
Maximum: 231.8 ms
Average loss: 0.02%

Route Context

Departure PoP: São Paulo (GRU)
Destination PoP: Tokyo (TYO)
Region overview: South America → Asia Pacific
Full global matrix: Backbone Latency Matrix
Physical methodology: Theoretical Fiber Latency

Reverse direction

Tokyo to São Paulo latency and RTT — 229.4 ms

Fastest routes departing São Paulo (GRU)

São Paulo to Miami latency and RTT — 74 ms
São Paulo to New York latency and RTT — 122 ms
São Paulo to Ashburn latency and RTT — 128 ms
São Paulo to Los Angeles latency and RTT — 130.8 ms
São Paulo to Seattle latency and RTT — 156 ms

Fastest routes arriving at Tokyo (TYO)

Taipei to Tokyo latency and RTT — 31.6 ms
Hong Kong to Tokyo latency and RTT — 45 ms
Singapore to Tokyo latency and RTT — 69.6 ms
Seattle to Tokyo latency and RTT — 84.8 ms
Los Angeles to Tokyo latency and RTT — 100.9 ms

Same corridor (South America → Asia Pacific)

São Paulo to Taipei latency and RTT — 259.1 ms
São Paulo to Sydney latency and RTT — 266.8 ms
São Paulo to Hong Kong latency and RTT — 273.9 ms

About This Measurement

Published RTT reflects best-case backbone path behavior measured with ICMP echo probes between PoPs. End-user latency also depends on local access networks, congestion, routing policy, and traffic engineering. None of these values is an SLA.

The measurement round behind this page is published as open data under CC BY 4.0 in the Hats Network latency dataset. Per-pair files are available at /opendata/latency/latest/pairs/gru-tyo.pings.{csv,json,yaml}. When citing, include the route, the measurement round timestamp, and the dataset version — for example: "Hats Network latency dataset, São Paulo → Tokyo round 2026-08-15T04:03:13Z, CC BY 4.0".

Data auto-generated on August 15, 2026. Explore the full interactive latency matrix or browse more city-pair routes.

São Paulo, Brazil → Tokyo, Japan RTT