ICMP round-trip latency from Taipei, Taiwan to São Paulo, Brazil: measured average, minimum, packet loss, and fiber efficiency for this long-haul route.

🇹🇼 Taipei, Taiwan (TPE) → 🇧🇷 São Paulo, Brazil (GRU)

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

The 2026-08-15T04:03:13Z round measured the Taipei-to-São Paulo ICMP echo route at 275.8 ms average over 50 samples, with a minimum of 266.79 ms and a maximum of 302.55 ms. There was no packet loss, and the 5.6 ms jitter figure suggests a consistent path despite the very long distance.

At 18,818.5 km, the geodesic distance is the defining factor: the fiber floor works out to 184.29 ms, making the observed average 1.5 times that floor and the fiber efficiency 66.8%. The route ranked 18th among the 19 routes measured from Taipei in this round, placing it near the slower end of the set.

Even so, the route's timing is stable: the standard deviation of 6.83 ms is about 2.5% of the average, below the 3.08% reference median for the route set. That combination of high average latency and below-median variability makes this a predictable long-haul route rather than one with erratic swings.

Latency Summary

Metric	Value
RTT	275.8 ms
Jitter	5.6 ms
Packet Loss	0%
Standard Fiber Floor	184.29 ms
Fiber Efficiency	66.8%
Latency Tier	High
Source Region	Asia Pacific
Destination Region	South America

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: TPE → GRU

50 ICMP echo samples at 100 ms intervals · round 2026-08-15T04:03:13Z · avg 275.8 ± 0.97 ms (SE)

Sample distribution: box = interquartile range (270.5–278.6 ms), median 275.0 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 (184.3 ms) for this route.

Full 50-sample dataset

Seq	Offset (ms)	RTT (ms)
1	0	277.28
2	100	285.57
3	200	273.35
4	300	270.10
5	400	277.49
6	500	302.55
7	600	280.40
8	700	277.24
9	800	272.52
10	900	269.17
11	1000	269.57
12	1100	277.47
13	1200	277.79
14	1300	280.52
15	1400	277.86
16	1500	287.92
17	1600	281.65
18	1700	273.39
19	1800	269.27
20	1900	268.02
21	2000	267.01
22	2100	266.79
23	2200	268.23
24	2300	269.47
25	2400	267.83
26	2500	278.76
27	2600	291.40
28	2700	275.13
29	2800	272.30
30	2900	268.29
31	3000	275.66
32	3100	276.10
33	3200	272.73
34	3300	278.28
35	3400	280.38
36	3500	279.69
37	3600	273.26
38	3700	280.00
39	3800	278.82
40	3900	274.93
41	4000	271.47
42	4100	275.19
43	4200	274.20
44	4300	270.14
45	4400	268.41
46	4500	272.53
47	4600	276.85
48	4700	289.28
49	4800	274.40
50	4900	273.34

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 Taipei (25.05306, 121.52639) and São Paulo (-23.54750, -46.63611). It does not disclose either facility address.

Physical Reference	Value
WGS-84 geodesic distance	18,818.5 km
Vacuum RTT floor	125.54 ms
Standard fiber RTT floor ( $n_g=1.4679$ )	184.29 ms
Low-latency fiber material floor	183.54 ms
Engineering floor (5% path allowance)	193.52 ms
Research 1.33× mapped-fiber reference	245.1 ms
Estimated unamplified path loss	3951.9 dB
Transparent optical spans / inline amplifiers	247 / 246
Published RTT inflation over fiber floor	1.5×

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	266.79 ms
Average RTT	275.8 ms
Maximum RTT	302.55 ms
Standard deviation	6.83 ms
Stdev / average	2.5%

RTT trend

Estimated route stability across the selected time window.

Average: 276.0 ms
Minimum: 273.9 ms
Maximum: 278.1 ms
Average loss: 0.04%

Route Context

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

Reverse direction

São Paulo to Taipei latency and RTT — 259.1 ms

Fastest routes departing Taipei (TPE)

Taipei to Hong Kong latency and RTT — 15.4 ms
Taipei to Tokyo latency and RTT — 31.6 ms
Taipei to Singapore latency and RTT — 44.2 ms
Taipei to Seattle latency and RTT — 115.7 ms
Taipei to Moscow latency and RTT — 131.7 ms

Fastest routes arriving at São Paulo (GRU)

Ashburn to São Paulo latency and RTT — 102.6 ms
New York to São Paulo latency and RTT — 108.3 ms
Miami to São Paulo latency and RTT — 129.9 ms
Los Angeles to São Paulo latency and RTT — 131.1 ms
Seattle to São Paulo latency and RTT — 155.1 ms

Same corridor (Asia Pacific → South America)

Tokyo to São Paulo latency and RTT — 229.4 ms
Hong Kong to São Paulo latency and RTT — 288.8 ms
Sydney to São Paulo latency and RTT — 298 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/tpe-gru.pings.{csv,json,yaml}. When citing, include the route, the measurement round timestamp, and the dataset version — for example: "Hats Network latency dataset, Taipei → São Paulo 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.

Taipei, Taiwan → São Paulo, Brazil RTT