🇫🇷 Paris Ping & Network Latency (PAR) | AS203314
Paris (PAR) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.
🇫🇷 Paris (PAR)
Paris is a major French interconnection market, providing direct access to France-IX Paris and NL-IX Paris alongside diverse national and European transit paths.
This page provides round-trip time (RTT) latency metrics between the Paris (PAR) PoP and every other node on the Hats Network (AS203314) global backbone.
PoP Highlights
- Location: Paris, France (Europe)
- Region: Europe
- Role: Backbone interconnection point for Hats Network (AS203314)
- Public city reference: GeoNames 2988507 — 48.85341, 2.34880
- Coverage: RTT measurements to 18 other PoPs across 4 continents
Latency Summary
| Metric | Value |
|---|---|
| Fastest Route | 🇫🇷 Paris (PAR) → 🇬🇧 London (LON) (6.3 ms) — Ultra-Low |
| Slowest Route | 🇫🇷 Paris (PAR) → 🇦🇺 Sydney (SYD) (238.7 ms) |
| Average RTT | 108.5 ms |
| Average Jitter | 0.90 ms |
| Average Packet Loss | 0.06% |
| Best Fiber Efficiency | 83.9% |
| Intra-Region Peers | 6 PoPs in Europe |
| 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 Paris (PAR)
Round-trip time in milliseconds from Paris to all other backbone PoPs, sorted fastest to slowest.
| Destination | RTT (ms) | Fiber Floor | Efficiency | Jitter | Loss | Tier |
|---|---|---|---|---|---|---|
| 🇬🇧 London (LON) | 6.3 | 3.37 ms | 53.5% | 0.12 ms | 0.17% | Ultra-Low |
| 🇳🇱 Amsterdam (AMS) | 7 | 4.22 ms | 60.3% | 0.12 ms | 0.16% | Ultra-Low |
| 🇩🇪 Frankfurt (FRA) | 7.6 | 4.7 ms | 61.8% | 0.12 ms | 0% | Ultra-Low |
| 🇫🇷 Marseille (MRS) | 8.9 | 6.47 ms | 72.7% | 0.12 ms | 0.04% | Ultra-Low |
| 🇩🇪 Berlin (BER) | 15.4 | 8.62 ms | 56% | 0.13 ms | 0.1% | Ultra-Low |
| 🇷🇺 Moscow (MOW) | 43.9 | 24.42 ms | 55.6% | 0.24 ms | 0% | Excellent |
| 🇺🇸 New York (NYC) | 68.3 | 57.31 ms | 83.9% | 0.79 ms | 0.16% | Excellent |
| 🇺🇸 Ashburn (IAD) | 75.7 | 60.73 ms | 80.2% | 0.38 ms | 0% | Excellent |
| 🇺🇸 Miami (MIA) | 108.7 | 72.16 ms | 66.4% | 0.99 ms | 0.01% | Good |
| 🇺🇸 Seattle (SEA) | 129 | 78.98 ms | 61.2% | 1.02 ms | 0.09% | Good |
| 🇺🇸 Los Angeles (LAX) | 134.5 | 89.18 ms | 66.3% | 1.61 ms | 0% | Good |
| 🇸🇬 Singapore (SIN) | 148.3 | 105.19 ms | 70.9% | 1.37 ms | 0% | Good |
| 🇭🇰 Hong Kong (HKG) | 161.8 | 94.48 ms | 58.4% | 0.74 ms | 0.11% | Fair |
| 🇹🇼 Taipei (TPE) | 175 | 96.42 ms | 55.1% | 1.56 ms | 0% | Fair |
| 🇧🇷 São Paulo (GRU) | 181.7 | 91.83 ms | 50.5% | 1.59 ms | 0.17% | Fair |
| 🇯🇵 Tokyo (TYO) | 204.8 | 95.34 ms | 46.6% | 1.94 ms | 0% | Fair |
| 🇦🇺 Melbourne (MEL) | 238 | 164.4 ms | 69.1% | 1.79 ms | 0.03% | Fair |
| 🇦🇺 Sydney (SYD) | 238.7 | 166.06 ms | 69.6% | 1.53 ms | 0% | Fair |
Inbound Latency to Paris (PAR)
Round-trip time in milliseconds from all other PoPs to Paris. 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 |
|---|---|---|---|---|---|---|
| 🇬🇧 London (LON) | 6.3 | 3.37 ms | 53.5% | 0.12 ms | 0.12% | Ultra-Low |
| 🇳🇱 Amsterdam (AMS) | 7 | 4.22 ms | 60.3% | 0.12 ms | 0.1% | Ultra-Low |
| 🇩🇪 Frankfurt (FRA) | 7.6 | 4.7 ms | 61.8% | 0.12 ms | 0% | Ultra-Low |
| 🇫🇷 Marseille (MRS) | 8.9 | 6.47 ms | 72.7% | 0.12 ms | 0.11% | Ultra-Low |
| 🇩🇪 Berlin (BER) | 15.1 | 8.62 ms | 57.1% | 0.16 ms | 0.07% | Ultra-Low |
| 🇷🇺 Moscow (MOW) | 43.7 | 24.42 ms | 55.9% | 0.27 ms | 0.1% | Excellent |
| 🇺🇸 New York (NYC) | 68.6 | 57.31 ms | 83.5% | 0.4 ms | 0% | Excellent |
| 🇺🇸 Ashburn (IAD) | 75.7 | 60.73 ms | 80.2% | 0.85 ms | 0% | Excellent |
| 🇺🇸 Miami (MIA) | 107.6 | 72.16 ms | 67.1% | 1.2 ms | 0% | Good |
| 🇺🇸 Seattle (SEA) | 130.3 | 78.98 ms | 60.6% | 1.29 ms | 0% | Good |
| 🇺🇸 Los Angeles (LAX) | 132.1 | 89.18 ms | 67.5% | 1.23 ms | 0.06% | Good |
| 🇸🇬 Singapore (SIN) | 149 | 105.19 ms | 70.6% | 0.93 ms | 0.2% | Good |
| 🇭🇰 Hong Kong (HKG) | 162.2 | 94.48 ms | 58.2% | 1.04 ms | 0% | Fair |
| 🇹🇼 Taipei (TPE) | 175.1 | 96.42 ms | 55.1% | 1.74 ms | 0% | Fair |
| 🇧🇷 São Paulo (GRU) | 181.6 | 91.83 ms | 50.6% | 1.24 ms | 0.08% | Fair |
| 🇯🇵 Tokyo (TYO) | 206.9 | 95.34 ms | 46.1% | 1.45 ms | 0% | Fair |
| 🇦🇺 Melbourne (MEL) | 236.4 | 164.4 ms | 69.5% | 2.01 ms | 0% | Fair |
| 🇦🇺 Sydney (SYD) | 239.8 | 166.06 ms | 69.3% | 1.52 ms | 0% | Fair |
Europe Peers
Paris is one of 7 Hats Network PoPs in Europe. Intra-region routes offer the lowest latency and highest path diversity.
| PoP | Code | Country | RTT (ms) | Tier |
|---|---|---|---|---|
| 🇳🇱 Amsterdam (AMS) | AMS | Netherlands | 7 | Ultra-Low |
| 🇩🇪 Berlin (BER) | BER | Germany | 15.4 | Ultra-Low |
| 🇩🇪 Frankfurt (FRA) | FRA | Germany | 7.6 | Ultra-Low |
| 🇬🇧 London (LON) | LON | UK | 6.3 | Ultra-Low |
| 🇫🇷 Marseille (MRS) | MRS | France | 8.9 | Ultra-Low |
| 🇷🇺 Moscow (MOW) | MOW | Russia | 43.9 | Excellent |
Data auto-generated on July 19, 2026. Explore the full interactive latency matrix for side-by-side comparison across all 19 PoPs.
🇷🇺 Moscow Ping & Network Latency (MOW) | AS203314
Moscow (MOW) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.
🇺🇸 Ashburn Ping & Network Latency (IAD) | AS203314
Ashburn (IAD) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 18 Hats Network (AS203314) backbone PoPs.