🇹🇼 Taipei Ping & Network Latency (TPE) | AS203314
Taipei (TPE) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.
🇹🇼 Taipei (TPE)
Taipei is Taiwan's primary internet hub, providing strategic connectivity between East and Southeast Asia on Hats Network's regional backbone.
This page provides round-trip time (RTT) latency metrics between the Taipei (TPE) PoP and every other node on the Hats Network (AS203314) global backbone.
PoP Highlights
- Location: Taipei, Taiwan (Asia Pacific)
- Region: Asia Pacific
- Role: Backbone interconnection point for Hats Network (AS203314)
- Public city reference: GeoNames 1668341 — 25.05306, 121.52639
- Coverage: RTT measurements to 18 other PoPs across 4 continents
Latency Summary
| Metric | Value |
|---|---|
| Fastest Route | 🇹🇼 Taipei (TPE) → 🇭🇰 Hong Kong (HKG) (15 ms) — Ultra-Low |
| Slowest Route | 🇹🇼 Taipei (TPE) → 🇧🇷 São Paulo (GRU) (288.3 ms) |
| Average RTT | 144.4 ms |
| Average Jitter | 1.16 ms |
| Average Packet Loss | 0.08% |
| Best Fiber Efficiency | 82.6% |
| 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 Taipei (TPE)
Round-trip time in milliseconds from Taipei to all other backbone PoPs, sorted fastest to slowest.
| Destination | RTT (ms) | Fiber Floor | Efficiency | Jitter | Loss | Tier |
|---|---|---|---|---|---|---|
| 🇭🇰 Hong Kong (HKG) | 15 | 7.94 ms | 52.9% | 0.15 ms | 0.18% | Ultra-Low |
| 🇯🇵 Tokyo (TYO) | 32 | 20.58 ms | 64.3% | 0.15 ms | 0% | Excellent |
| 🇸🇬 Singapore (SIN) | 44.6 | 31.77 ms | 71.2% | 0.25 ms | 0.14% | Excellent |
| 🇺🇸 Seattle (SEA) | 115.5 | 95.46 ms | 82.6% | 0.54 ms | 0% | Good |
| 🇦🇺 Sydney (SYD) | 131.8 | 70.88 ms | 53.8% | 1.25 ms | 0.18% | Good |
| 🇺🇸 Los Angeles (LAX) | 132.6 | 107 ms | 80.7% | 0.92 ms | 0.04% | Good |
| 🇷🇺 Moscow (MOW) | 132.7 | 72.16 ms | 54.4% | 1.56 ms | 0.14% | Good |
| 🇦🇺 Melbourne (MEL) | 134.5 | 72.25 ms | 53.7% | 0.65 ms | 0.15% | Good |
| 🇩🇪 Berlin (BER) | 158.6 | 87.84 ms | 55.4% | 1.44 ms | 0.08% | Fair |
| 🇩🇪 Frankfurt (FRA) | 167.1 | 91.96 ms | 55% | 1.28 ms | 0.19% | Fair |
| 🇳🇱 Amsterdam (AMS) | 168.7 | 92.72 ms | 55% | 1.49 ms | 0.09% | Fair |
| 🇫🇷 Paris (PAR) | 175.1 | 96.42 ms | 55.1% | 1.74 ms | 0% | Fair |
| 🇬🇧 London (LON) | 175.2 | 95.97 ms | 54.8% | 1.34 ms | 0% | Fair |
| 🇫🇷 Marseille (MRS) | 180.2 | 98.2 ms | 54.5% | 1.92 ms | 0.08% | Fair |
| 🇺🇸 Ashburn (IAD) | 180.8 | 123.78 ms | 68.5% | 0.96 ms | 0% | Fair |
| 🇺🇸 New York (NYC) | 181.5 | 122.89 ms | 67.7% | 0.83 ms | 0.05% | Fair |
| 🇺🇸 Miami (MIA) | 185.1 | 136.3 ms | 73.6% | 1.97 ms | 0.12% | Fair |
| 🇧🇷 São Paulo (GRU) | 288.3 | 184.29 ms | 63.9% | 2.49 ms | 0% | High |
Inbound Latency to Taipei (TPE)
Round-trip time in milliseconds from all other PoPs to Taipei. 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 |
|---|---|---|---|---|---|---|
| 🇭🇰 Hong Kong (HKG) | 14.8 | 7.94 ms | 53.6% | 0.12 ms | 0% | Ultra-Low |
| 🇯🇵 Tokyo (TYO) | 32.7 | 20.58 ms | 62.9% | 0.2 ms | 0% | Excellent |
| 🇸🇬 Singapore (SIN) | 44.5 | 31.77 ms | 71.4% | 0.25 ms | 0% | Excellent |
| 🇺🇸 Seattle (SEA) | 117.4 | 95.46 ms | 81.3% | 0.97 ms | 0% | Good |
| 🇺🇸 Los Angeles (LAX) | 130.8 | 107 ms | 81.8% | 1.36 ms | 0% | Good |
| 🇦🇺 Melbourne (MEL) | 131.9 | 72.25 ms | 54.8% | 1.47 ms | 0% | Good |
| 🇷🇺 Moscow (MOW) | 133 | 72.16 ms | 54.3% | 0.73 ms | 0% | Good |
| 🇦🇺 Sydney (SYD) | 133.7 | 70.88 ms | 53% | 1.29 ms | 0% | Good |
| 🇩🇪 Berlin (BER) | 158.3 | 87.84 ms | 55.5% | 0.72 ms | 0% | Fair |
| 🇩🇪 Frankfurt (FRA) | 168.3 | 91.96 ms | 54.6% | 0.98 ms | 0.09% | Fair |
| 🇳🇱 Amsterdam (AMS) | 170.9 | 92.72 ms | 54.3% | 1.11 ms | 0.1% | Fair |
| 🇬🇧 London (LON) | 174.2 | 95.97 ms | 55.1% | 1.18 ms | 0.12% | Fair |
| 🇫🇷 Paris (PAR) | 175 | 96.42 ms | 55.1% | 1.56 ms | 0% | Fair |
| 🇺🇸 Ashburn (IAD) | 180.1 | 123.78 ms | 68.7% | 0.83 ms | 0% | Fair |
| 🇫🇷 Marseille (MRS) | 180.6 | 98.2 ms | 54.4% | 1.98 ms | 0.07% | Fair |
| 🇺🇸 New York (NYC) | 181 | 122.89 ms | 67.9% | 2.07 ms | 0% | Fair |
| 🇺🇸 Miami (MIA) | 187.9 | 136.3 ms | 72.5% | 1.1 ms | 0.06% | Fair |
| 🇧🇷 São Paulo (GRU) | 261.9 | 184.29 ms | 70.4% | 1.94 ms | 0.16% | High |
Asia Pacific Peers
Taipei 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 |
|---|---|---|---|---|
| 🇭🇰 Hong Kong (HKG) | HKG | Hong Kong | 15 | Ultra-Low |
| 🇦🇺 Melbourne (MEL) | MEL | Australia | 134.5 | Good |
| 🇸🇬 Singapore (SIN) | SIN | Singapore | 44.6 | Excellent |
| 🇦🇺 Sydney (SYD) | SYD | Australia | 131.8 | Good |
| 🇯🇵 Tokyo (TYO) | TYO | Japan | 32 | Excellent |
Data auto-generated on July 19, 2026. Explore the full interactive latency matrix for side-by-side comparison across all 19 PoPs.
🇦🇺 Sydney Ping & Network Latency (SYD) | AS203314
Sydney (SYD) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.
🇯🇵 Tokyo Ping & Network Latency (TYO) | AS203314
Tokyo (TYO) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.