Hong Kong SAR China / HK

193,911 tunnel tests1 network1 vantage pointLast measurement 2 d 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
Hysteria299.6%731 ms35,542Available
VLESS Reality96.7%1,018 ms39,592Degraded
VLESS XHTTP97.6%1,023 ms39,599Degraded
Trojan97.8%1,058 ms39,589Degraded
Shadowsocks97.0%761 ms39,589Degraded

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 LTD97.7%193,911Degraded

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 ms39,592
TCP to VLESS XHTTP port99.1%242 ms39,594
TCP to Trojan port99.1%245 ms39,589
TCP to Shadowsocks port99.1%247 ms39,589
DNS over TCP 1.1.1.1100%6 ms1,042
DNS over TCP 8.8.8.8100%10 ms1,042
DNS over UDP 1.1.1.1100%4 ms1,042
DNS over UDP 8.8.8.8100%8 ms1,042
HTTPS cloudflare.com100%32 ms1,042
HTTPS google.com100%55 ms1,042
HTTPS wikipedia.org100%230 ms1,042

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
98.3%
24 h
Online