🇫🇷 Paris Ping & Network Latency (PAR) | AS203314
Paris (PAR) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 19 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.
Measurement round: 2026-08-15T04:03:13Z.
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.
Average RTT from Paris to every other PoP
Round average of 19 measured routes, sorted slowest first · whiskers mark ±1 standard deviation within each round
How to read this chart
Each bar is the average round-trip time of one 50-probe ICMP echo round from Paris (PAR) to the destination PoP. The whisker at the end of each bar spans the average ± one standard deviation of that round — long whiskers mark jittery routes, short whiskers mark stable ones.
Full 19-destination dataset
| Destination | Avg RTT (ms) | Stdev (ms) | Distance (km) |
|---|---|---|---|
| Sydney (SYD) | 251.50 | 11.64 | 16,958 |
| Melbourne (MEL) | 246.30 | 8.35 | 16,788 |
| Tokyo (TYO) | 204.20 | 4.94 | 9,736 |
| Johannesburg (JNB) | 180.90 | 6.74 | 8,697 |
| São Paulo (GRU) | 176.90 | 5.39 | 9,378 |
| Taipei (TPE) | 172.50 | 4.64 | 9,846 |
| Hong Kong (HKG) | 161.20 | 4.02 | 9,648 |
| Singapore (SIN) | 150.50 | 4.19 | 10,742 |
| Los Angeles (LAX) | 136.80 | 2.35 | 9,107 |
| Seattle (SEA) | 127.20 | 4.05 | 8,065 |
| Miami (MIA) | 106.10 | 3.28 | 7,369 |
| Ashburn (IAD) | 75.70 | 2.95 | 6,202 |
| New York (NYC) | 68.60 | 2.39 | 5,853 |
| Moscow (MOW) | 44.50 | 2.13 | 2,494 |
| Berlin (BER) | 14.80 | 0.68 | 881 |
| Marseille (MRS) | 8.90 | 0.24 | 661 |
| Frankfurt (FRA) | 7.60 | 0.12 | 480 |
| London (LON) | 7.10 | 0.20 | 344 |
| Amsterdam (AMS) | 7.00 | 0.23 | 431 |
RTT vs. distance from Paris
Average RTT against great-circle distance for the same 19 routes · shaded bands mark latency tiers · points are colored by continent
How to read this chart
Each point is one destination PoP: the horizontal axis is the measured average RTT, the vertical axis is the WGS-84 great-circle distance from Paris. Points close to the bottom-left are routes that run near the physical fiber limit; points drifting upward-right follow longer paths. The shaded vertical bands mark the latency tiers (Ultra-Low <30 ms, Low 30–80 ms, Mid 80–150 ms, High >150 ms).
Underlying measurements
| Destination | Avg RTT (ms) | Distance (km) |
|---|---|---|
| Sydney (SYD) | 251.50 | 16,958 |
| Melbourne (MEL) | 246.30 | 16,788 |
| Tokyo (TYO) | 204.20 | 9,736 |
| Johannesburg (JNB) | 180.90 | 8,697 |
| São Paulo (GRU) | 176.90 | 9,378 |
| Taipei (TPE) | 172.50 | 9,846 |
| Hong Kong (HKG) | 161.20 | 9,648 |
| Singapore (SIN) | 150.50 | 10,742 |
| Los Angeles (LAX) | 136.80 | 9,107 |
| Seattle (SEA) | 127.20 | 8,065 |
| Miami (MIA) | 106.10 | 7,369 |
| Ashburn (IAD) | 75.70 | 6,202 |
| New York (NYC) | 68.60 | 5,853 |
| Moscow (MOW) | 44.50 | 2,494 |
| Berlin (BER) | 14.80 | 881 |
| Marseille (MRS) | 8.90 | 661 |
| Frankfurt (FRA) | 7.60 | 480 |
| London (LON) | 7.10 | 344 |
| Amsterdam (AMS) | 7.00 | 431 |
Fastest routes into Paris
Measured RTT from 19 other PoPs into Paris (PAR), sorted fastest first · each row spans min–max with a dot at the average
How to read this chart
Each row is one 50-probe ICMP echo round from another PoP into Paris (PAR): the line spans the minimum to maximum round-trip time observed, and the dot marks the average. Short rows are stable routes; rows sitting far right are slow ones. RTT is not symmetric — the path back into Paris can differ from the outbound path shown in the charts above.
Full 19-source dataset
| Source | Avg RTT (ms) | Min (ms) | Max (ms) | Distance (km) |
|---|---|---|---|---|
| Amsterdam (AMS) | 7.00 | 6.82 | 7.67 | 431 |
| London (LON) | 7.10 | 6.76 | 7.69 | 344 |
| Frankfurt (FRA) | 7.60 | 7.41 | 8.19 | 480 |
| Marseille (MRS) | 8.90 | 8.64 | 9.71 | 661 |
| Berlin (BER) | 14.20 | 13.56 | 16.09 | 881 |
| Moscow (MOW) | 43.90 | 42.40 | 48.20 | 2,494 |
| New York (NYC) | 68.40 | 65.65 | 75.01 | 5,853 |
| Ashburn (IAD) | 75.70 | 72.90 | 85.49 | 6,202 |
| Miami (MIA) | 105.40 | 101.04 | 123.91 | 7,369 |
| Seattle (SEA) | 128.10 | 120.80 | 145.67 | 8,065 |
| Los Angeles (LAX) | 135.40 | 131.38 | 145.94 | 9,107 |
| Singapore (SIN) | 149.30 | 141.07 | 173.79 | 10,742 |
| Hong Kong (HKG) | 160.00 | 155.72 | 169.66 | 9,648 |
| Johannesburg (JNB) | 165.10 | 159.24 | 179.03 | 8,697 |
| Taipei (TPE) | 172.60 | 165.06 | 196.41 | 9,846 |
| São Paulo (GRU) | 179.40 | 168.71 | 211.17 | 9,378 |
| Tokyo (TYO) | 203.30 | 192.69 | 225.69 | 9,736 |
| Melbourne (MEL) | 243.60 | 232.82 | 280.25 | 16,788 |
| Sydney (SYD) | 250.90 | 246.35 | 265.95 | 16,958 |
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 19 other PoPs across 5 continents
Facility & Interconnection
- Facility: PAR1
Latency Summary
| Metric | Value |
|---|---|
| Fastest Route | 🇫🇷 Paris (PAR) → 🇳🇱 Amsterdam (AMS) (7 ms) — Ultra-Low |
| Slowest Route | 🇫🇷 Paris (PAR) → 🇦🇺 Sydney (SYD) (251.5 ms) |
| Average RTT | 113.1 ms |
| Average Jitter | 0.96 ms |
| Average Packet Loss | 0.07% |
| Best Fiber Efficiency | 83.5% |
| Intra-Region Peers | 6 PoPs in Europe |
| Total Routes | 19 outbound / 19 inbound (100% coverage) |
Jitter, packet-loss, percentile, and trend fields are estimated comparative indicators. Read the theoretical fiber latency methodology.
Geographic & Network Position
Paris sits on Hats Network's Europe backbone. Measured round-trip times to its 6 intra-region peers range from 7 ms (Amsterdam (AMS)) to 44.5 ms (Moscow (MOW)).
Paris is a major French interconnection market on the Northwest European corridor, with dense national and pan-European fiber paths.
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 |
|---|---|---|---|---|---|---|
| 🇳🇱 Amsterdam (AMS) | 7 | 4.22 ms | 60.3% | 0.12 ms | 0.18% | Ultra-Low |
| 🇬🇧 London (LON) | 7.1 | 3.37 ms | 47.5% | 0.12 ms | 0% | Ultra-Low |
| 🇩🇪 Frankfurt (FRA) | 7.6 | 4.7 ms | 61.8% | 0.12 ms | 0.07% | Ultra-Low |
| 🇫🇷 Marseille (MRS) | 8.9 | 6.47 ms | 72.7% | 0.12 ms | 0.1% | Ultra-Low |
| 🇩🇪 Berlin (BER) | 14.8 | 8.62 ms | 58.3% | 0.13 ms | 0% | Ultra-Low |
| 🇷🇺 Moscow (MOW) | 44.5 | 24.42 ms | 54.9% | 0.33 ms | 0.03% | Excellent |
| 🇺🇸 New York (NYC) | 68.6 | 57.31 ms | 83.5% | 0.65 ms | 0.13% | Excellent |
| 🇺🇸 Ashburn (IAD) | 75.7 | 60.73 ms | 80.2% | 0.8 ms | 0% | Excellent |
| 🇺🇸 Miami (MIA) | 106.1 | 72.16 ms | 68% | 0.76 ms | 0.09% | Good |
| 🇺🇸 Seattle (SEA) | 127.2 | 78.98 ms | 62.1% | 1.18 ms | 0.11% | Good |
| 🇺🇸 Los Angeles (LAX) | 136.8 | 89.18 ms | 65.2% | 1.31 ms | 0.08% | Good |
| 🇸🇬 Singapore (SIN) | 150.5 | 105.19 ms | 69.9% | 1.62 ms | 0% | Fair |
| 🇭🇰 Hong Kong (HKG) | 161.2 | 94.48 ms | 58.6% | 1.27 ms | 0.12% | Fair |
| 🇹🇼 Taipei (TPE) | 172.5 | 96.42 ms | 55.9% | 1.25 ms | 0.18% | Fair |
| 🇧🇷 São Paulo (GRU) | 176.9 | 91.83 ms | 51.9% | 1.2 ms | 0% | Fair |
| 🇿🇦 Johannesburg (JNB) | 180.9 | 85.17 ms | 47.1% | 1.7 ms | 0.02% | Fair |
| 🇯🇵 Tokyo (TYO) | 204.2 | 95.34 ms | 46.7% | 2.28 ms | 0.01% | Fair |
| 🇦🇺 Melbourne (MEL) | 246.3 | 164.4 ms | 66.7% | 1.35 ms | 0.13% | Fair |
| 🇦🇺 Sydney (SYD) | 251.5 | 166.06 ms | 66% | 1.84 ms | 0.08% | High |
Fastest Routes to Paris (PAR)
The 10 fastest measured routes to Paris, ranked by average RTT. Min / max / stdev are computed from the same measurement round (50 ICMP echo probes per route, 100 ms interval); routes without a published per-sample round show the measured average RTT only.
| Rank | Source | Avg RTT | Min | Max | Stdev |
|---|---|---|---|---|---|
| 1 | 🇳🇱 Amsterdam (AMS) | 7 ms | 6.82 ms | 7.67 ms | 0.17 ms |
| 2 | 🇬🇧 London (LON) | 7.1 ms | 6.76 ms | 7.69 ms | 0.2 ms |
| 3 | 🇩🇪 Frankfurt (FRA) | 7.6 ms | 7.41 ms | 8.19 ms | 0.17 ms |
| 4 | 🇫🇷 Marseille (MRS) | 8.9 ms | 8.64 ms | 9.71 ms | 0.25 ms |
| 5 | 🇩🇪 Berlin (BER) | 14.2 ms | 13.56 ms | 16.09 ms | 0.59 ms |
| 6 | 🇷🇺 Moscow (MOW) | 43.9 ms | 42.4 ms | 48.2 ms | 1.27 ms |
| 7 | 🇺🇸 New York (NYC) | 68.4 ms | 65.65 ms | 75.01 ms | 2.12 ms |
| 8 | 🇺🇸 Ashburn (IAD) | 75.7 ms | 72.9 ms | 85.49 ms | 2.59 ms |
| 9 | 🇺🇸 Miami (MIA) | 105.4 ms | 101.04 ms | 123.91 ms | 4.19 ms |
| 10 | 🇺🇸 Seattle (SEA) | 128.1 ms | 120.8 ms | 145.67 ms | 5.98 ms |
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 |
|---|---|---|---|---|---|---|
| 🇳🇱 Amsterdam (AMS) | 7 | 4.22 ms | 60.3% | 0.12 ms | 0% | Ultra-Low |
| 🇬🇧 London (LON) | 7.1 | 3.37 ms | 47.5% | 0.12 ms | 0.18% | 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% | Ultra-Low |
| 🇩🇪 Berlin (BER) | 14.2 | 8.62 ms | 60.7% | 0.12 ms | 0.12% | Ultra-Low |
| 🇷🇺 Moscow (MOW) | 43.9 | 24.42 ms | 55.6% | 0.25 ms | 0% | Excellent |
| 🇺🇸 New York (NYC) | 68.4 | 57.31 ms | 83.8% | 0.41 ms | 0.01% | Excellent |
| 🇺🇸 Ashburn (IAD) | 75.7 | 60.73 ms | 80.2% | 0.71 ms | 0% | Excellent |
| 🇺🇸 Miami (MIA) | 105.4 | 72.16 ms | 68.5% | 1.1 ms | 0% | Good |
| 🇺🇸 Seattle (SEA) | 128.1 | 78.98 ms | 61.7% | 1.11 ms | 0.14% | Good |
| 🇺🇸 Los Angeles (LAX) | 135.4 | 89.18 ms | 65.9% | 1.58 ms | 0% | Good |
| 🇸🇬 Singapore (SIN) | 149.3 | 105.19 ms | 70.5% | 1.1 ms | 0% | Good |
| 🇭🇰 Hong Kong (HKG) | 160 | 94.48 ms | 59% | 1.45 ms | 0.07% | Fair |
| 🇿🇦 Johannesburg (JNB) | 165.1 | 85.17 ms | 51.6% | 1.16 ms | 0% | Fair |
| 🇹🇼 Taipei (TPE) | 172.6 | 96.42 ms | 55.9% | 1.7 ms | 0% | Fair |
| 🇧🇷 São Paulo (GRU) | 179.4 | 91.83 ms | 51.2% | 1.63 ms | 0.15% | Fair |
| 🇯🇵 Tokyo (TYO) | 203.3 | 95.34 ms | 46.9% | 1.5 ms | 0% | Fair |
| 🇦🇺 Melbourne (MEL) | 243.6 | 164.4 ms | 67.5% | 2.28 ms | 0.17% | Fair |
| 🇦🇺 Sydney (SYD) | 250.9 | 166.06 ms | 66.2% | 2.58 ms | 0.12% | High |
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 | 14.8 | Ultra-Low |
| 🇩🇪 Frankfurt (FRA) | FRA | Germany | 7.6 | Ultra-Low |
| 🇬🇧 London (LON) | LON | UK | 7.1 | Ultra-Low |
| 🇫🇷 Marseille (MRS) | MRS | France | 8.9 | Ultra-Low |
| 🇷🇺 Moscow (MOW) | MOW | Russia | 44.5 | Excellent |
Frequently Asked Questions
What is the fastest route to Paris?
The fastest measured route to Paris (PAR) is Amsterdam (AMS) → Paris (PAR), averaging 7 ms RTT (Ultra-Low).
What is the fastest route from Paris?
The fastest measured route from Paris (PAR) is Paris (PAR) → Amsterdam (AMS), averaging 7 ms RTT (Ultra-Low).
How well connected is Paris to the Hats Network backbone?
Paris (PAR) maintains measured routes to all 19 other PoPs across 5 continents. The slowest route, Paris (PAR) → Sydney (SYD), averages 251.5 ms RTT.
Open Data
Measured latency data for Paris (PAR) is published daily under CC BY 4.0 as part of the Hats Network open latency dataset:
- Per-route files — every directed route from Paris is published as
par-<destination>.pings.{csv,json,yaml}under/opendata/latency/latest/pairs/— for example par-ams.pings.csv, the 50-probe ICMP echo round for Paris (PAR) → Amsterdam (AMS). - Dataset documentation — /opendata/latency/ covers file formats, versioning, checksums, and the aggregated full-matrix releases.
Data auto-generated on August 15, 2026. Explore the full interactive latency matrix for side-by-side comparison across all 20 PoPs.
🇷🇺 Moscow Ping & Network Latency (MOW) | AS203314
Moscow (MOW) ping, RTT, jitter and packet loss, theoretical fiber floor, and route efficiency to 19 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 19 Hats Network (AS203314) backbone PoPs.