City name stats: Tarnowskie Gory

Global stats for Tarnowskie Gory:

As	Min hops	Avg hops	Max hops	σ² (hops)	Min delay	Avg delay	Max delay	σ² (delay)	Count No.
Source	3.319	4.565	10.236	1.667	124.571	227.154	227.154	10931.144	53196
Destination	6.293	8.753	12.364	1.998	55.746	90.061	90.061	1527.453	627
Total	3.353	4.614	10.261	1.671	123.77	225.557	225.557	10821.598	53823

Results for Tarnowskie Gory as destination city:

Rank		Min hops	Avg hops	Max hops	σ² (hops)	Min delay	Avg delay	Max delay	σ² (delay)	Count No.
1	Piscataway	5	8	17	16	87.517	112.575	161.968	573.326	6
2	Warsaw	5	6	7	0	24.896	35.088	52.425	75.12	6
3	Reading	4	5.5	7	2	28.545	50.799	73.052	495.224	2
4	Prague	6	6	6	0	19.647	19.647	19.647	0	1
5	Greenburgh	15	15	15	0	136.991	136.991	136.991	0	1
6	Wake Forest	20	20	20	0	139.128	139.128	139.128	0	1

Results for Tarnowskie Gory as source city:

<< < 1 2 3 4 5 > >>

Rank		Min hops	Avg hops	Max hops	Min delay	Avg delay	Max delay	Count No.
1	Seoul	3	11.948	30	0.675	264.939	899.816	1740
2	Tokyo	3	8.79	30	0.614	192.295	823.095	1737
3	New York City	3	6.389	29	0.609	69.281	496.671	1302
4	Monroe	3	3.818	29	0.608	15.189	256.778	957
5	Beijing	5	9.774	29	14.329	221.893	441.091	932
6	Fort Huachuca	4	5.535	12	13.797	105.726	260.827	712
7	Redmond	3	4.872	25	0.615	40.447	289.815	673
8	Dallas	3	7.348	25	0.649	50.462	362.412	595
9	Ashburn	3	5.843	20	7.493	95.82	331.648	591
10	Columbus	3	6.029	14	0.663	105.775	455.245	559
11	Taipei	3	10.26	29	0.695	267.309	397.472	534
12	Stuttgart	3	5.094	10	0.926	16.809	53.311	501
13	Palo Alto	3	5.472	30	0.611	51.967	447.273	481
14	Cupertino	3	9.161	24	0.617	111.281	322.946	467
15	San Diego	3	11.313	23	0.643	164.098	962.405	454
16	Chicago	3	11.069	28	0.645	107.418	315.882	421
17	London	3	6.366	29	0.639	27.789	184.945	418
18	Paris	3	6.365	15	0.665	27.433	215.254	400
19	Milan	3	6.28	28	0.626	24.494	322.916	375
20	Indianapolis	3	12.784	20	0.749	110.736	206.313	361
21	Los Angeles	3	8.605	30	0.653	128.372	946.399	354
22	Lake Mary	3	3.472	14	0.602	14.149	288.506	343
23	Hangzhou	4	10.284	28	14.136	234.871	441.345	292
24	Washington	3	7.37	19	0.643	65.815	171.988	270
25	Stockholm	3	7.637	23	0.666	29.296	136.252	270
26	Mountain View	5	11.053	23	15.374	98.044	296.66	265
27	Sao Paulo	3	9.534	30	0.8	206.181	299.227	253
28	Shanghai	4	9.695	29	13.829	225.932	456.318	249
29	Sydney	3	10.415	30	0.654	290.393	375.186	246
30	San Francisco	3	9.05	30	0.651	123.374	420.709	238
31	Dublin	3	5.416	26	0.616	20.29	135.548	238
32	Jakarta	3	6.762	30	0.673	182.308	650.598	235
33	Madrid	3	5.717	13	0.622	37.413	249.966	230
34	Bellevue	3	11.248	23	0.701	113.966	216.559	222
35	Hong Kong	3	8.118	29	0.624	207.742	356.31	220
36	Portland	3	6.982	21	0.77	160.377	230.412	219
37	Seattle	3	5.776	22	0.635	58.77	204.504	210
38	Amsterdam	3	6.319	13	0.65	27.419	337.784	207
39	Moscow	3	6.882	30	0.654	44.955	247.572	203
40	Atlanta	3	9.508	30	0.659	102.9	231.092	195
41	Cairo	4	7.065	12	13.756	56.895	188.464	186
42	Singapore	3	10.531	27	0.705	212.814	394.909	177
43	Montgomery	5	5.442	10	14.153	99.716	276.654	172
44	Melbourne	3	9.526	21	0.87	246.925	503.94	171
45	Rome	3	6.2	29	0.623	25.669	342.723	170
46	Middletown	3	4.223	18	0.608	25.655	171.682	166
47	Guangzhou	5	9.56	30	14.726	245.647	462.865	166
48	Mumbai	4	8.03	28	8.196	109.971	405.449	165
49	Frankfurt am Main	3	5.365	15	0.65	18.228	178.628	159
50	Cambridge	3	8.523	24	0.665	87.795	260.951	153
51	Mount Laurel	7	12.947	19	94.964	107.81	155.514	152
52	Rio de Janeiro	3	8.167	25	0.629	156.045	555.209	150
53	San Jose	3	8.3	21	0.731	134.019	322.82	150
54	Johannesburg	3	8.228	29	0.77	142.556	212.905	149
55	Cape Town	3	9.834	30	0.726	136.661	409.871	145
56	Toronto	3	9.365	26	1.433	109.887	248.605	137
57	Houston	3	10.307	30	0.628	115.645	311.035	137
58	Nuremberg	3	4.779	10	0.63	14.704	160.653	136
59	Hanoi	4	9.477	30	1.925	244.825	392.689	128
60	Tehran	4	7.381	20	13.819	78.869	236.935	126
61	Helsinki	3	6.381	14	0.839	33.611	114.817	126
62	Bonn	3	3.865	29	0.607	6.519	70.278	126
63	Reston	3	6.238	30	0.636	61.502	211.059	122
64	Austin	3	8.803	28	0.659	134.127	510.18	117
65	Riyadh	3	6.017	13	0.809	49.395	278.165	115
66	Dusseldorf	3	5.737	30	0.662	19.551	41.74	114
67	Buenos Aires	3	9.772	20	0.732	219.29	344.066	114
68	Miami	3	8.805	25	0.676	112.512	251.471	113
69	Istanbul	5	7.732	17	7.588	56.732	205.627	112
70	Vienna	3	6.252	30	0.648	13.933	113.115	111
71	Montreal	3	7	16	0.797	103.878	345.262	107
72	Shenzhen	4	8.76	29	13.93	245.901	441.439	104
73	Ann Arbor	6	10.398	21	100.366	122.085	185.814	103
74	Greenwood Village	3	7.544	20	0.809	52.911	174.008	103
75	Warsaw	3	6	17	0.628	14.438	36.521	102
76	Den Haag	3	4.406	8	0.641	16.765	41.208	101
77	Marietta	4	13.52	27	14.096	110.263	147.852	100
78	Phoenix	3	8.46	25	0.661	121.52	170.506	100
79	Osaka	3	10.052	29	0.865	212.84	307.99	97
80	Chongqing	7	11.958	29	163.771	283.253	385.997	95
81	Bogota	3	8.806	18	0.74	147.597	241.366	93
82	Vancouver	4	10.912	30	13.82	134.841	303.262	91
83	Berlin	3	6.308	30	0.669	18.977	96.159	91
84	Philadelphia	3	9.889	28	0.718	91.988	173.162	90
85	Manchester	3	7.64	17	0.657	46.982	130.396	89
86	Oslo	3	6.966	30	0.637	31.906	56.284	87
87	Virginia Beach	5	6.294	19	14.174	109.522	260.725	85
88	Nanjing	6	11.583	25	163.629	262.654	450.607	84
89	San Antonio	3	10.289	18	0.648	115.49	223.717	83
90	Newark	3	9.458	22	0.638	86.399	143.926	83
91	Meudon	5	7.122	10	23.566	30.704	41.13	82
92	Ankara	3	7.469	12	0.69	52.525	94.201	81
93	Nairobi	3	9.113	14	0.694	167.034	316.186	80
94	Bangkok	5	12.438	30	27.126	239.543	316.121	80
95	Tranbjerg	3	4.667	10	0.606	18.035	38.777	78
96	Munich	3	5.766	14	0.654	18.994	76.436	77
97	Boston	3	8.908	17	0.769	85.192	150.779	76
98	Brussels	3	6.145	13	0.665	27.894	74.225	76
99	Naperville	3	4.421	14	0.619	33.004	159.967	76
100	Santiago	7	10.25	18	99.591	208.767	281.164	76

<< < 1 2 3 4 5 > >>

Min Hops	Avg Hops	Max Hops	Min Delay	Avg Delay	Max Delay	Count No.
1588 of 40392	11383 of 40392	38187 of 40391	3537 of 40402	23964 of 40402	36805 of 40402	13 of 28499