Hong Kong SAR China / HK

208,662 tunnel tests1 network1 vantage pointLast measurement 21 min agoDegraded
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Transports from Hong Kong SAR China, last 30 days

Share of tunnel tests that carried traffic, and the median time from starting the transport to the first answer through it.

TransportSuccessMedian connectTestsStatus
Hysteria299.7%728 ms38,243Available
VLESS Reality96.8%1,016 ms42,605Degraded
VLESS XHTTP97.6%1,021 ms42,612Degraded
Trojan97.8%1,056 ms42,601Degraded
Shadowsocks97.1%759 ms42,601Degraded

Success over time

All vantage points in Hong Kong SAR China.

JSONAPI

Axis 50–100 %Data since 22 OctBucket 6 h

50%60%70%80%90%100%22 Oct25 Oct28 Oct31 Oct3 Nov6 Nov
Data table
Time (UTC)Hysteria2VLESS RealityVLESS XHTTPTrojanShadowsocks
22 Oct, 00:00–06:00 UTC100% (189)97.1% (206)99.5% (206)100% (206)98.6% (207)
22 Oct, 06:00–12:00 UTC100% (644)97.4% (700)99.6% (700)99.9% (701)98.9% (700)
22 Oct, 12:00–18:00 UTC100% (637)97.3% (712)99.0% (712)99.2% (711)98.5% (712)
22 Oct, 18:00–00:00 UTC99.9% (673)97.5% (726)99.7% (726)99.9% (726)98.3% (725)
23 Oct, 00:00–06:00 UTC100% (678)97.7% (735)100% (735)99.7% (735)99.3% (736)
23 Oct, 06:00–12:00 UTC100% (652)97.5% (712)99.2% (712)99.2% (712)98.5% (711)
23 Oct, 12:00–18:00 UTC99.8% (642)97.3% (698)99.6% (698)98.9% (698)98.6% (698)
23 Oct, 18:00–00:00 UTC100% (657)98.9% (713)99.6% (713)99.6% (713)99.2% (713)
24 Oct, 00:00–06:00 UTC100% (678)100% (739)100% (739)100% (739)99.3% (739)
24 Oct, 06:00–12:00 UTC99.8% (642)98.4% (700)99.7% (700)99.4% (700)98.7% (700)
24 Oct, 12:00–18:00 UTC100% (650)97.6% (711)99.4% (711)99.2% (711)98.7% (711)
24 Oct, 18:00–00:00 UTC100% (666)97.6% (716)100% (716)100% (717)99.0% (717)
25 Oct, 00:00–06:00 UTC100% (655)97.5% (717)100% (717)100% (716)97.5% (716)
25 Oct, 06:00–12:00 UTC100% (634)97.6% (695)99.6% (695)99.6% (695)97.6% (695)
25 Oct, 12:00–18:00 UTC99.8% (621)96.4% (700)98.6% (700)98.4% (701)95.7% (701)
25 Oct, 18:00–00:00 UTC99.8% (634)94.2% (719)95.7% (719)96.4% (718)93.7% (718)
26 Oct, 00:00–06:00 UTC99.9% (674)97.5% (732)99.2% (732)98.4% (732)96.3% (732)
26 Oct, 06:00–12:00 UTC99.8% (631)97.5% (692)99.9% (692)99.4% (693)98.3% (693)
26 Oct, 12:00–18:00 UTC100% (616)96.9% (680)99.3% (680)99.1% (679)97.6% (679)
26 Oct, 18:00–00:00 UTC99.4% (628)95.9% (691)98.1% (691)98.3% (691)97.4% (691)
27 Oct, 00:00–06:00 UTC100% (678)97.4% (733)99.3% (733)99.5% (733)98.8% (734)
27 Oct, 06:00–12:00 UTC99.8% (636)97.6% (699)99.6% (699)99.3% (699)98.7% (698)
27 Oct, 12:00–18:00 UTC99.0% (383)89.9% (456)93.2% (456)92.3% (454)94.3% (454)
27 Oct, 18:00–00:00 UTC99.4% (543)96.1% (596)98.3% (596)97.5% (596)97.0% (596)
28 Oct, 00:00–06:00 UTC100% (576)96.6% (625)98.7% (624)99.0% (625)98.7% (625)
28 Oct, 06:00–12:00 UTC99.5% (389)94.4% (429)97.0% (431)95.6% (429)97.2% (430)
28 Oct, 12:00–18:00 UTC99.0% (311)89.2% (362)88.7% (363)88.4% (362)92.0% (361)
28 Oct, 18:00–00:00 UTC99.8% (548)95.5% (598)98.0% (598)99.0% (599)97.2% (599)
29 Oct, 00:00–06:00 UTC100% (545)96.8% (592)98.3% (592)99.3% (591)98.1% (592)
29 Oct, 06:00–12:00 UTC99.2% (356)91.6% (407)91.2% (407)92.6% (408)93.6% (407)
29 Oct, 12:00–18:00 UTC98.8% (344)89.6% (393)92.4% (394)91.6% (392)94.6% (392)
29 Oct, 18:00–00:00 UTC100% (527)97.3% (592)95.9% (592)95.9% (592)96.6% (592)
30 Oct, 00:00–06:00 UTC100% (499)96.6% (558)97.0% (558)96.6% (558)96.8% (558)
30 Oct, 06:00–12:00 UTC99.1% (328)91.4% (374)91.2% (374)90.4% (374)92.2% (374)
30 Oct, 12:00–18:00 UTC97.4% (266)86.6% (337)87.0% (338)82.5% (337)89.3% (337)
30 Oct, 18:00–00:00 UTC99.6% (500)96.3% (562)95.9% (563)96.8% (562)96.8% (562)
31 Oct, 00:00–06:00 UTC99.8% (457)95.7% (513)94.7% (513)96.3% (513)96.1% (514)
31 Oct, 06:00–12:00 UTC98.2% (342)90.1% (393)91.9% (393)91.3% (393)92.9% (392)
31 Oct, 12:00–18:00 UTC99.0% (302)88.5% (357)90.2% (357)90.8% (358)91.1% (358)
31 Oct, 18:00–00:00 UTC99.6% (474)95.4% (538)95.7% (538)95.2% (537)93.5% (538)
1 Nov, 00:00–06:00 UTC99.2% (483)95.7% (554)96.2% (554)95.8% (554)93.7% (553)
1 Nov, 06:00–12:00 UTC100% (474)95.9% (541)95.4% (541)95.4% (541)93.9% (542)
1 Nov, 12:00–18:00 UTC99.5% (366)95.1% (409)95.1% (409)95.8% (409)94.9% (408)
1 Nov, 18:00–00:00 UTC99.0% (572)94.2% (653)94.5% (653)95.4% (653)95.3% (653)
2 Nov, 00:00–06:00 UTC99.0% (503)95.0% (575)95.7% (575)95.8% (575)95.1% (575)
2 Nov, 06:00–12:00 UTC98.1% (315)88.7% (372)90.1% (372)91.4% (373)91.7% (373)
2 Nov, 12:00–18:00 UTC98.3% (470)96.3% (534)96.4% (534)97.2% (534)96.8% (534)
2 Nov, 18:00–00:00 UTC98.7% (557)97.7% (615)97.6% (614)98.5% (614)98.9% (614)
3 Nov, 00:00–06:00 UTC99.3% (543)97.7% (609)97.5% (610)97.7% (610)98.4% (610)
3 Nov, 06:00–12:00 UTC99.3% (537)97.5% (598)97.7% (598)98.5% (597)97.8% (597)
3 Nov, 12:00–18:00 UTC99.4% (525)98.5% (588)98.5% (587)98.5% (588)98.6% (588)
3 Nov, 18:00–00:00 UTC100% (522)99.7% (573)99.3% (574)100% (573)99.7% (573)
4 Nov, 00:00–06:00 UTC100% (515)99.8% (571)99.8% (570)100% (571)99.8% (571)
4 Nov, 06:00–12:00 UTC100% (532)99.3% (586)99.3% (587)99.7% (587)99.7% (587)
4 Nov, 12:00–18:00 UTC100% (529)99.3% (591)99.5% (591)99.7% (590)99.5% (590)
4 Nov, 18:00–00:00 UTC100% (523)99.8% (577)99.7% (577)100% (577)100% (578)
5 Nov, 00:00–06:00 UTC99.8% (512)100% (568)99.3% (568)100% (568)99.5% (567)
5 Nov, 06:00–12:00 UTC99.8% (523)98.6% (591)98.8% (591)98.8% (591)98.8% (591)
5 Nov, 12:00–18:00 UTC98.7% (530)96.4% (611)95.8% (612)98.4% (611)97.4% (611)
5 Nov, 18:00–00:00 UTC99.5% (558)98.4% (619)97.7% (619)98.9% (619)98.2% (620)
6 Nov, 00:00–06:00 UTC99.5% (582)98.0% (641)98.1% (642)98.6% (641)95.9% (640)
6 Nov, 06:00–12:00 UTC100% (510)97.5% (567)97.9% (567)98.4% (567)95.4% (568)
6 Nov, 12:00–18:00 UTC99.0% (507)96.7% (574)96.9% (574)97.2% (574)95.1% (573)
6 Nov, 18:00–00:00 UTC99.8% (435)98.4% (487)97.7% (487)99.2% (486)95.7% (486)
7 Nov, 00:00–06:00 UTC100% (530)100% (590)100% (589)100% (590)96.9% (590)
7 Nov, 06:00–12:00 UTC100% (491)99.5% (567)98.8% (568)99.3% (567)96.1% (567)
7 Nov, 12:00–18:00 UTC99.8% (479)96.3% (561)96.3% (561)97.1% (561)93.9% (561)
7 Nov, 18:00–00:00 UTC99.5% (414)98.3% (462)98.3% (462)99.6% (462)95.9% (462)

Networks

Each network (autonomous system) the lab measures from. The comparison between networks is where blocking shows.

NetworkSuccessTestsStatus
AS214238 · HOST TELECOM LTD97.8%208,662Degraded

Without a tunnel

Plain TCP connections to the same server ports, and the network itself without any VPN. When these work but tunnels fail, the traffic is being singled out.

TestSuccessMedianTests
TCP to VLESS Reality port99.2%243 ms42,605
TCP to VLESS XHTTP port99.1%242 ms42,607
TCP to Trojan port99.1%245 ms42,601
TCP to Shadowsocks port99.1%247 ms42,601
DNS over TCP 1.1.1.1100%6 ms1,146
DNS over TCP 8.8.8.8100%10 ms1,146
DNS over UDP 1.1.1.1100%4 ms1,146
DNS over UDP 8.8.8.8100%8 ms1,146
HTTPS cloudflare.com100%32 ms1,146
HTTPS google.com100%58 ms1,146
HTTPS wikipedia.org100%234 ms1,146

App data (anonymous, delayed)

Transport results reported by Colitu apps in Hong Kong SAR China, counted per network. Published only with at least 5 devices behind each day and 7 days after the fact.

Field data collection is not switched on yet. When it is, the methodology describes exactly what is counted.

Events

All

No events recorded for Hong Kong SAR China.

Vantage points

Hong Kong (datacenter)
AS214238 · HOST TELECOM LTD · Datacenter
98.7%
24 h
Online