🇭🇰 Hong Kong Ping & Network Latency (HKG) | AS203314
Hong Kong (HKG) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.
🇭🇰 Hong Kong (HKG)
Hong Kong is Asia's premier financial and interconnection hub, offering direct access to one of the world's densest fiber markets. Hats Network's HKG PoP is a cornerstone of the Asia-Pacific backbone.
This page provides round-trip time (RTT) latency metrics between the Hong Kong (HKG) PoP and every other node on the Hats Network (AS203314) global backbone.
PoP Highlights
- Location: Hong Kong, Hong Kong (Asia Pacific)
- Region: Asia Pacific
- Role: Backbone interconnection point for Hats Network (AS203314)
- Public city reference: GeoNames 1819729 — 22.27832, 114.17469
- Coverage: RTT measurements to 18 other PoPs across 4 continents
Latency Summary
| Metric | Value |
|---|---|
| Fastest Route | 🇭🇰 Hong Kong (HKG) → 🇹🇼 Taipei (TPE) (14.8 ms) — Ultra-Low |
| Slowest Route | 🇭🇰 Hong Kong (HKG) → 🇧🇷 São Paulo (GRU) (301.5 ms) |
| Average RTT | 143.2 ms |
| Average Jitter | 1.18 ms |
| Average Packet Loss | 0.05% |
| Best Fiber Efficiency | 81.7% |
| Intra-Region Peers | 5 PoPs in Asia Pacific |
| Total Routes | 18 outbound / 18 inbound (100% coverage) |
Jitter, packet-loss, percentile, and trend fields are estimated comparative indicators. Read the theoretical fiber latency methodology.
Outbound Latency from Hong Kong (HKG)
Round-trip time in milliseconds from Hong Kong to all other backbone PoPs, sorted fastest to slowest.
| Destination | RTT (ms) | Fiber Floor | Efficiency | Jitter | Loss | Tier |
|---|---|---|---|---|---|---|
| 🇹🇼 Taipei (TPE) | 14.8 | 7.94 ms | 53.6% | 0.12 ms | 0% | Ultra-Low |
| 🇸🇬 Singapore (SIN) | 30.9 | 25.24 ms | 81.7% | 0.14 ms | 0.07% | Excellent |
| 🇯🇵 Tokyo (TYO) | 46.1 | 28.24 ms | 61.3% | 0.52 ms | 0% | Excellent |
| 🇷🇺 Moscow (MOW) | 119.6 | 70.05 ms | 58.6% | 1.14 ms | 0.14% | Good |
| 🇦🇺 Sydney (SYD) | 126.6 | 71.97 ms | 56.8% | 0.87 ms | 0% | Good |
| 🇦🇺 Melbourne (MEL) | 127.6 | 72.38 ms | 56.7% | 1.16 ms | 0% | Good |
| 🇺🇸 Seattle (SEA) | 130.5 | 102.2 ms | 78.3% | 1.01 ms | 0.03% | Good |
| 🇺🇸 Los Angeles (LAX) | 144.8 | 114.3 ms | 78.9% | 1.7 ms | 0.16% | Good |
| 🇩🇪 Berlin (BER) | 147 | 85.85 ms | 58.4% | 0.91 ms | 0% | Good |
| 🇩🇪 Frankfurt (FRA) | 152.8 | 89.87 ms | 58.8% | 1.65 ms | 0.02% | Fair |
| 🇳🇱 Amsterdam (AMS) | 156.4 | 91.05 ms | 58.2% | 1 ms | 0.01% | Fair |
| 🇬🇧 London (LON) | 161.2 | 94.44 ms | 58.6% | 1.31 ms | 0% | Fair |
| 🇫🇷 Paris (PAR) | 162.2 | 94.48 ms | 58.2% | 1.04 ms | 0% | Fair |
| 🇫🇷 Marseille (MRS) | 166.8 | 95.48 ms | 57.2% | 1.07 ms | 0% | Fair |
| 🇺🇸 New York (NYC) | 193.6 | 127.11 ms | 65.7% | 1.69 ms | 0.17% | Fair |
| 🇺🇸 Ashburn (IAD) | 194 | 128.37 ms | 66.2% | 1.62 ms | 0.13% | Fair |
| 🇺🇸 Miami (MIA) | 201.9 | 141.69 ms | 70.2% | 1.24 ms | 0.17% | Fair |
| 🇧🇷 São Paulo (GRU) | 301.5 | 176.86 ms | 58.7% | 2.99 ms | 0% | High |
Inbound Latency to Hong Kong (HKG)
Round-trip time in milliseconds from all other PoPs to Hong Kong. Network paths may be asymmetric — inbound and outbound RTT can differ for the same city pair.
| Source | RTT (ms) | Fiber Floor | Efficiency | Jitter | Loss | Tier |
|---|---|---|---|---|---|---|
| 🇹🇼 Taipei (TPE) | 15 | 7.94 ms | 52.9% | 0.15 ms | 0.18% | Ultra-Low |
| 🇸🇬 Singapore (SIN) | 31.7 | 25.24 ms | 79.6% | 0.32 ms | 0% | Excellent |
| 🇯🇵 Tokyo (TYO) | 45.2 | 28.24 ms | 62.5% | 0.32 ms | 0% | Excellent |
| 🇷🇺 Moscow (MOW) | 121.1 | 70.05 ms | 57.8% | 1.31 ms | 0.04% | Good |
| 🇦🇺 Sydney (SYD) | 124.7 | 71.97 ms | 57.7% | 0.97 ms | 0.14% | Good |
| 🇦🇺 Melbourne (MEL) | 128.1 | 72.38 ms | 56.5% | 0.74 ms | 0.03% | Good |
| 🇺🇸 Seattle (SEA) | 128.6 | 102.2 ms | 79.5% | 1.29 ms | 0.03% | Good |
| 🇩🇪 Berlin (BER) | 145.6 | 85.85 ms | 59% | 1.41 ms | 0.15% | Good |
| 🇺🇸 Los Angeles (LAX) | 146.7 | 114.3 ms | 77.9% | 1.41 ms | 0.07% | Good |
| 🇩🇪 Frankfurt (FRA) | 152.2 | 89.87 ms | 59% | 1.55 ms | 0.11% | Fair |
| 🇳🇱 Amsterdam (AMS) | 156.6 | 91.05 ms | 58.1% | 1.83 ms | 0.1% | Fair |
| 🇬🇧 London (LON) | 161 | 94.44 ms | 58.7% | 1.86 ms | 0.13% | Fair |
| 🇫🇷 Paris (PAR) | 161.8 | 94.48 ms | 58.4% | 0.74 ms | 0.11% | Fair |
| 🇫🇷 Marseille (MRS) | 166.7 | 95.48 ms | 57.3% | 1.52 ms | 0% | Fair |
| 🇺🇸 New York (NYC) | 192.2 | 127.11 ms | 66.1% | 1.61 ms | 0.12% | Fair |
| 🇺🇸 Ashburn (IAD) | 194.1 | 128.37 ms | 66.1% | 1.38 ms | 0.09% | Fair |
| 🇺🇸 Miami (MIA) | 201.2 | 141.69 ms | 70.4% | 1.86 ms | 0.07% | Fair |
| 🇧🇷 São Paulo (GRU) | 275.2 | 176.86 ms | 64.3% | 1.87 ms | 0% | High |
Asia Pacific Peers
Hong Kong is one of 6 Hats Network PoPs in Asia Pacific. Intra-region routes offer the lowest latency and highest path diversity.
| PoP | Code | Country | RTT (ms) | Tier |
|---|---|---|---|---|
| 🇦🇺 Melbourne (MEL) | MEL | Australia | 127.6 | Good |
| 🇸🇬 Singapore (SIN) | SIN | Singapore | 30.9 | Excellent |
| 🇦🇺 Sydney (SYD) | SYD | Australia | 126.6 | Good |
| 🇹🇼 Taipei (TPE) | TPE | Taiwan | 14.8 | Ultra-Low |
| 🇯🇵 Tokyo (TYO) | TYO | Japan | 46.1 | Excellent |
Data auto-generated on July 19, 2026. Explore the full interactive latency matrix for side-by-side comparison across all 19 PoPs.
🇧🇷 São Paulo Ping & Network Latency (GRU) | AS203314
São Paulo (GRU) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.
🇦🇺 Melbourne Ping & Network Latency (MEL) | AS203314
Melbourne (MEL) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.