#city	facility_gravity	city_pdb_asn_count	up_probes	asn4_count	asn6_count	lat	lon
London, GB	1411	624	212	59	29	51.5	-0.1
Amsterdam, NL	1120	543	271	30	18	52.4	4.9
Frankfurt, DE	856	516	171	53	40	50.1	8.7
Paris, FR	668	285	231	48	30	48.9	2.4
Los Angeles, US	483	339	35	14	11	34.1	-118.2
New York, US	417	284	34	17	8	40.7	-74.0
Chicago, US	340	260	20	9	3	41.9	-87.6
Sydney, AU	312	198	47	23	15	-33.9	151.2
Singapore, SG	280	214	71	24	15	1.4	103.9
Ashburn, US	278	262	78	26	16	39.0	-77.5
Stockholm, SE	269	147	79	36	22	59.3	18.1
Hong Kong, HK	252	199	26	17	8	22.3	114.2
San Jose, US	241	209	91	30	17	37.3	-121.9
Zurich, CH	238	134	136	44	31	47.4	8.5
Dallas, US	223	173	24	13	9	32.8	-96.8
Moscow, RU	223	110	184	53	10	55.8	37.6
Miami, US	216	169	7	3	3	25.8	-80.2
Seattle, US	211	180	46	13	6	47.6	-122.3
Manchester, GB	206	108	56	33	17	53.5	-2.2
Atlanta, US	187	154	16	6	5	33.7	-84.4
Tokyo, JP	185	119	102	34	16	35.7	139.7
Toronto, CA	182	132	40	18	6	43.7	-79.4
Prague, CZ	162	92	105	47	21	50.1	14.4
Sao Paulo, BR	156	135	24	9	7	-23.6	-46.6
Warsaw, PL	152	102	37	21	11	52.2	21.0
Berlin, DE	148	81	106	35	23	52.5	13.4
Duesseldorf, DE	137	91	99	37	25	51.2	6.8
Slough, GB	136	96	228	59	30	51.5	-0.6
Mumbai, IN	124	84	2	2	1	19.1	72.9
Johannesburg, ZA	124	110	29	16	8	-26.2	28.0
Melbourne, AU	123	80	25	15	6	-37.8	145.0
Auckland, NZ	123	63	33	19	6	-36.8	174.8
Dublin, IE	118	68	80	21	12	53.3	-6.3
Madrid, ES	116	91	46	18	5	40.4	-3.7
Wien, AT	106	102	97	37	19	48.2	16.4
Palo Alto, US	106	106	145	36	20	37.4	-122.1
Copenhagen, DK	105	68	95	41	22	55.7	12.6
Bucharest, RO	104	58	32	20	9	44.4	26.1
Brussels, BE	100	69	123	26	12	50.9	4.4
Hamburg, DE	99	56	73	26	18	53.6	10.0
Kiev, UA	94	55	74	52	12	50.5	30.5
Milan, IT	92	78	48	29	12	45.5	9.2
Munich, DE	87	61	76	31	21	48.1	11.6
Sofia, BG	81	48	45	30	11	42.7	23.3
Oslo, NO	72	36	39	25	9	59.9	10.8
Barueri, BR	68	59	24	9	7	-23.5	-46.9
Newark, US	68	56	34	17	8	40.7	-74.2
Katowice, PL	66	59	17	15	6	50.3	19.0
Rio de Janeiro, BR	64	42	3	3	0	-22.9	-43.2
Montreal, CA	64	43	27	14	8	45.5	-73.6
Vancouver, CA	63	56	18	10	5	49.3	-123.1
Cape Town, ZA	62	54	30	19	5	-33.9	18.4
Phoenix, US	62	50	8	3	2	33.4	-112.1
Brisbane, AU	60	49	18	12	4	-27.5	153.0
Marseille, FR	59	54	36	15	7	43.3	5.4
San Francisco, US	59	42	93	29	16	37.8	-122.4
Fremont, US	58	51	143	36	21	37.5	-122.0
Kuala Lumpur, MY	56	51	18	6	2	3.1	101.7
Milano, IT	55	53	48	29	12	45.5	9.2
Santa Clara, US	53	40	93	30	17	37.4	-122.0
Geneva, CH	53	39	48	26	10	46.2	6.1
Portland, US	51	49	14	5	2	45.5	-122.7
could not determine lat/long for 'São Paulo, BR'
#problem on São Paulo, BR (gravity:50)
Vienna, AT	50	30	97	37	19	48.2	16.4
Denver, US	49	42	27	6	3	39.7	-105.0
Boston, US	47	42	47	10	4	42.4	-71.1
Minneapolis, US	44	43	23	8	4	45.0	-93.3
Saint-Petersburg, RU	44	34	66	44	12	59.9	30.3
St. Petersburg, RU	42	27	66	44	12	59.9	30.3
Taipei, TW	42	35	5	5	1	25.0	121.6
Bratislava, SK	41	34	29	21	7	48.1	17.1
Rotterdam, NL	40	34	146	36	22	51.9	4.5
Nuremberg, DE	37	22	55	24	13	49.5	11.1
Secaucus, US	36	34	33	17	8	40.8	-74.1
Indianapolis, US	36	24	0	0	0	39.8	-86.2
Kansas City, US	33	22	5	3	2	39.1	-94.6
Osaka, JP	33	25	9	6	1	34.7	135.5
Buenos Aires, AR	33	31	16	9	3	-34.6	-58.4
Venissieux - Lyon, FR	33	33	46	19	9	45.7	4.9
Helsinki, FI	32	19	53	18	12	60.2	24.9
Philadelphia, US	32	21	30	6	1	40.0	-75.2
Vitry sur Seine, FR	32	32	231	47	30	48.8	2.4
Perth, AU	31	25	11	9	3	-32.0	115.9
Dubai, AE	31	23	9	3	0	25.2	55.3
Cotia, BR	30	24	24	9	7	-23.6	-46.9
Budapest, HU	30	25	34	19	4	47.5	19.0
Barcelona, ES	30	24	26	15	5	41.4	2.2
Riga, LV	29	18	22	17	6	56.9	24.1
Reston, US	28	25	79	26	16	39.0	-77.4
Durban, ZA	28	28	6	6	2	-29.9	31.0
Cyberjaya, MY	28	24	18	6	2	2.9	101.7
Madison, US	28	14	8	6	5	43.1	-89.4
could not determine lat/long for 'São Paulo, BR'
#problem on São Paulo, BR (gravity:28)
Las Vegas, US	26	24	3	3	1	36.1	-115.2
Salt Lake City, US	26	19	11	4	2	40.8	-111.9
Adelaide, AU	26	17	5	3	1	-34.9	138.6
Chennai , IN	26	17	0	0	0	13.1	80.3
Houston, US	25	16	8	4	3	29.8	-95.4
could not determine lat/long for 'Malmö, SE'
#problem on Malmö, SE (gravity:25)
Sunnyvale, US	25	22	93	31	17	37.4	-122.0
BRISBANE, AU	24	24	18	12	4	-27.5	153.0
Chennai, IN	24	19	0	0	0	13.1	80.3
Edinburgh, GB	23	21	21	13	5	56.0	-3.2
Calgary, CA	23	19	9	5	1	51.0	-114.1
could not determine lat/long for 'Nürnberg, DE'
#problem on Nürnberg, DE (gravity:23)
Bremen, DE	22	8	31	8	6	53.1	8.8
St. Louis, US	21	15	4	2	0	38.6	-90.2
Jakarta, ID	21	14	22	19	6	-6.2	106.8
Bettembourg, LU	21	21	64	31	16	49.5	6.1
Porto Alegre, BR	20	17	6	4	3	-30.0	-51.2
Seoul, KR	20	18	15	4	1	37.6	127.0
montreal, CA	19	18	27	14	8	45.5	-73.6
Tampa, US	19	13	3	3	0	28.0	-82.5
Leeds, GB	19	18	33	23	10	53.8	-1.5
Roma, IT	18	14	39	14	7	41.9	12.5
Turin, IT	18	13	12	9	3	45.1	7.7
Stuttgart, DE	18	14	80	16	17	48.8	9.2
Enschede, NL	18	15	30	11	9	52.2	6.9
Tallinn, EE	18	13	20	15	5	59.4	24.8
Luxembourg, LU	18	15	62	30	15	49.6	6.1
Bissen-Roost, LU	17	17	60	30	15	49.8	6.1
Dronten, NL	17	17	79	18	18	52.5	5.7
New Delhi, IN	17	16	4	4	0	28.6	77.2
Reading, GB	17	16	103	42	23	51.5	-1.0
Basel, CH	17	17	24	14	8	47.6	7.6
Zagreb, HR	17	16	23	12	4	45.8	16.0
Toulouse, FR	16	11	22	11	5	43.6	1.4
Delft, NL	16	16	131	40	24	52.0	4.4
Winnipeg, CA	16	11	10	8	6	49.9	-97.1
Hilversum, NL	16	15	277	33	19	52.2	5.2
Strasbourg, FR	16	16	34	13	7	48.6	7.8
Southfield, US	16	16	11	4	3	42.5	-83.2
Antwerp, BE	16	12	107	31	14	51.2	4.4
Offenbach am Main, DE	15	15	171	54	41	50.1	8.8
Magny-les-Hameaux, FR	15	15	227	47	30	48.7	2.1
Nashville, US	15	9	2	1	1	36.2	-86.8
Groningen, NL	15	9	12	9	6	53.2	6.6
North Bergen, US	15	15	33	17	8	40.8	-74.0
Salzburg, AT	14	9	22	13	4	47.8	13.1
Malaga, AU	14	14	11	9	3	-31.9	115.9
Sacavem, PT	14	14	57	14	7	38.8	-9.1
El Segundo, US	14	12	31	14	11	33.9	-118.4
Vitry-sur-Seine, FR	14	14	231	47	30	48.8	2.4
Jacksonville, US	14	13	3	3	2	30.3	-81.7
Ede, NL	14	10	148	28	19	52.0	5.7
Milton Keynes, GB	13	11	43	19	11	52.0	-0.8
Palermo, IT	13	12	1	1	0	38.1	13.4
Nuernberg, DE	13	12	55	24	13	49.5	11.1
Canberra, AU	13	13	1	1	0	-35.3	149.1
Istanbul, TR	13	10	15	12	4	41.0	29.0
Arnhem, NL	12	10	92	27	19	52.0	5.9
Wellington, NZ	12	9	28	15	8	-41.3	174.8
Limonest, FR	12	12	45	19	10	45.8	4.8
Bern, CH	12	12	29	13	4	46.9	7.4
SYDNEY, AU	12	12	47	23	15	-33.9	151.2
Alcobendas, ES	12	12	46	18	5	40.5	-3.6
Lyngby, DK	12	12	94	41	22	55.8	12.5
Vienna, US	12	10	78	27	16	38.9	-77.3
Karlsruhe, DE	11	7	55	20	20	49.0	8.4
Omaha, US	11	11	2	1	0	41.3	-96.0
Montpellier, FR	11	7	9	6	3	43.6	3.9
Bordeaux, FR	11	10	12	7	3	44.8	-0.6
Maidenhead, GB	11	11	236	59	30	51.5	-0.7
Milwaukee, US	11	11	2	2	1	43.0	-87.9
Cambridge, US	11	11	49	10	4	42.4	-71.1
Gothenburg, SE	11	11	10	7	3	57.7	12.0
Boca Raton, US	11	11	5	1	1	26.4	-80.1
Alblasserdam, NL	11	11	159	37	22	51.9	4.7
West Drayton, Middlesex, GB	11	11	228	57	29	51.5	-0.4
Somerville, US	11	11	50	11	4	42.4	-71.1
Pittsburgh, US	11	8	4	4	1	40.4	-80.0
Crissier, CH	11	11	38	20	10	46.6	6.6
Cork, IE	11	11	3	3	1	51.9	-8.5
San Diego, US	10	6	9	5	3	32.7	-117.2
Bangkok, TH	10	8	14	10	4	13.8	100.5
Curitiba, BR	10	9	1	1	1	-25.4	-49.3
Grenoble, FR	10	8	19	10	4	45.2	5.7
PARIS, FR	10	9	231	48	30	48.9	2.4
Studley, GB	9	5	18	13	4	52.3	-1.9
Enfield, GB	9	9	206	57	27	51.7	-0.1
Elk Grove Village, US	9	9	23	10	3	42.0	-88.0
Spokane, US	9	9	3	2	1	47.7	-117.4
Clifton, US	9	9	31	16	7	40.9	-74.2
Ljubljana, SI	9	5	33	18	10	46.1	14.5
Columbus, US	9	9	5	3	2	40.0	-83.0
could not determine lat/long for 'Rümlang, CH'
#problem on Rümlang, CH (gravity:9)
Eindhoven, NL	9	9	72	26	9	51.4	5.5
MELBOURNE, AU	9	9	25	15	6	-37.8	145.0
Klagenfurt, AT	9	5	6	6	5	46.6	14.3
Byfleet, GB	9	8	222	57	29	51.3	-0.5
Ekaterinburg, RU	9	6	7	6	2	56.8	60.6
Espoo, FI	8	8	53	18	12	60.2	24.7
Meppel, NL	8	8	32	13	12	52.7	6.2
Antibes, FR	8	6	16	8	6	43.6	7.1
Washington, US	8	7	75	26	16	38.9	-77.0
Hengelo, NL	8	8	35	12	11	52.3	6.8
Krakow, PL	8	4	8	8	1	50.1	19.9
Novosibirsk, RU	8	7	14	8	1	55.0	82.9
Hamilton, NZ	8	7	6	5	2	-37.8	175.3
Fujairah, AE	8	8	0	0	0	25.1	56.3
Christchurch, NZ	8	6	9	7	4	-43.5	172.6
Centurion, ZA	8	8	32	17	9	-25.9	28.1
Maastricht, NL	8	8	79	26	13	50.9	5.7
Tukwila, US	8	8	46	13	6	47.5	-122.3
Austin, US	8	6	6	3	3	30.3	-97.7
Graz, AT	8	5	19	12	5	47.1	15.4
Tempe, US	8	7	8	3	2	33.4	-111.9
L'Hospitalet de LLobregat, ES	7	7	26	15	5	41.4	2.1
Tampere, FI	7	6	17	12	6	61.5	23.8
Lisbon, PT	7	7	57	14	7	38.7	-9.1
Zoetermeer, NL	7	7	249	33	22	52.1	4.5
Vilnius, LT	7	7	10	9	5	54.7	25.3
Kista, SE	7	7	81	36	22	59.4	17.9
Louisville, US	7	7	0	0	0	38.3	-85.8
Windhof, LU	7	7	60	30	15	49.6	6.0
Pratteln, CH	7	7	24	13	8	47.5	7.7
Quarry Bay, HK	6	6	26	17	8	22.3	114.2
Spijkenisse, NL	6	6	96	33	19	51.9	4.3
Prague 6, CZ	6	5	105	47	21	50.1	14.4
Nossegem, BE	6	6	116	27	13	50.9	4.5
Linz, AT	6	6	16	12	4	48.3	14.3
Steenbergen, NL	6	6	78	34	22	51.6	4.3
Hillsboro, US	6	6	13	4	2	45.5	-123.0
Ferrara, IT	6	6	12	7	2	44.8	11.6
Saint George, US	6	6	2	2	2	37.1	-113.6
Koropi, GR	6	6	65	16	8	37.9	23.9
Rennes, FR	6	6	14	7	5	48.1	-1.7
Santiago de Chile, CL	6	5	12	4	1	-33.4	-70.7
Kayl, LU	6	6	63	31	16	49.5	6.0
Tai Po, HK	6	5	26	17	8	22.4	114.2
Maidstone, GB	6	6	83	53	26	51.3	0.5
Sacramento, US	6	4	9	5	1	38.6	-121.5
OSLO, NO	6	5	39	25	9	59.9	10.8
Charlotte, US	6	5	0	0	0	35.2	-80.8
Bologna, IT	6	6	15	7	2	44.5	11.3
Padova, IT	6	6	12	6	0	45.4	11.9
Woking, GB	6	5	218	58	29	51.3	-0.6
Kent, GB	6	6	89	58	26	51.3	0.5
Glasgow, GB	6	5	10	8	2	55.9	-4.3
Eschen, LI	6	6	15	11	7	47.2	9.5
Ft. Lauderdale, US	5	5	7	3	3	26.1	-80.1
Lupfig, CH	5	5	135	43	31	47.4	8.2
Newbury, GB	5	5	64	30	18	51.4	-1.3
The Hague, NL	5	5	130	36	22	52.1	4.3
Cardiff, GB	5	5	17	10	5	51.5	-3.2
Dijon, FR	5	5	6	4	2	47.3	5.0
could not determine lat/long for 'Sainghin en Mélantois, FR'
#problem on Sainghin en Mélantois, FR (gravity:5)
York, GB	5	5	22	15	6	54.0	-1.1
Worthington, US	5	5	6	3	2	40.1	-83.0
Piscataway, US	5	5	31	17	6	40.6	-74.5
Lausanne, CH	5	4	38	20	10	46.5	6.6
Tseung Kwan O, HK	5	5	26	17	8	22.3	114.3
St.Petersburg, RU	5	5	66	44	12	59.9	30.3
Almere, NL	5	5	267	33	21	52.4	5.3
Englewood, US	5	5	24	6	3	39.6	-105.0
Zwolle, NL	5	5	42	17	15	52.5	6.1
Balma, FR	5	5	21	10	5	43.6	1.5
Curacao, CW	5	5	3	3	0	12.2	-69.0
Buffalo, US	5	5	3	3	0	42.9	-78.9
McLean, US	5	5	78	27	16	38.9	-77.2
Belo Horizonte, BR	5	4	3	2	0	-19.9	-43.9
BESANCON, FR	5	5	4	4	3	47.2	6.0
could not determine lat/long for 'Bogotá, CO'
#problem on Bogotá, CO (gravity:5)
Liberty Lake, US	5	5	3	2	1	47.7	-117.1
Brno, CZ	5	4	38	17	8	49.2	16.6
Dhaka, BD	5	5	14	11	2	23.8	90.4
Carrollton, US	5	5	25	14	9	33.0	-96.9
Meyrin, CH	5	5	46	26	10	46.2	6.1
Mombasa, KE	4	4	3	3	1	-4.0	39.7
Billings, US	4	4	1	1	0	45.8	-108.5
Buffalo , US	4	4	3	3	0	42.9	-78.9
Rouen, FR	4	4	13	7	3	49.4	1.1
Torino, IT	4	4	12	9	3	45.1	7.7
HOBART, AU	4	4	1	1	0	-42.9	147.3
Labege Innopole, FR	4	4	22	11	5	43.5	1.5
Farnborough, GB	4	4	123	46	24	51.3	-0.8
Halifax, CA	4	4	3	2	1	44.6	-63.6
Goes, NL	4	4	21	9	6	51.5	3.9
Weehawken, US	4	4	33	17	8	40.8	-74.0
Groenekan, NL	4	4	293	32	17	52.1	5.2
Manassas, US	4	4	72	24	16	38.8	-77.5
Dar Es Salaam, TZ	4	3	9	9	3	-6.8	39.2
Glattbrugg, CH	4	4	137	43	30	47.4	8.6
Amiens, FR	4	3	1	1	0	49.9	2.3
Dortmund, DE	4	4	63	23	15	51.5	7.5
Hemel Hempstead, GB	4	3	210	58	29	51.8	-0.4
RIJEN, NL	4	4	93	35	17	51.6	4.9
Ruwi, OM	4	4	3	1	0	23.6	58.5
Tulsa, US	4	2	1	1	0	36.2	-96.0
Paterna, ES	4	4	11	7	2	39.5	-0.4
Djibouti, DJ	4	4	1	1	0	11.6	43.1
Nairobi, KE	4	4	15	9	3	-1.3	36.8
could not determine lat/long for 'Trollåsen, NO'
#problem on Trollåsen, NO (gravity:4)
Warszawa, PL	4	4	37	21	11	52.2	21.0
Needham, US	4	3	48	10	4	42.3	-71.2
Edmonton, CA	4	4	2	1	1	53.5	-113.5
Boise, US	4	3	0	0	0	43.6	-116.2
Sterling, US	4	4	78	26	16	39.0	-77.4
Muenchen, DE	4	2	76	31	21	48.1	11.6
Attinghausen, CH	4	4	30	16	10	46.9	8.6
Nantes, FR	4	4	20	10	3	47.2	-1.6
Cleveland, US	4	3	6	5	3	41.5	-81.7
Beijing, CN	4	1	2	2	1	39.9	116.4
Capelle aan den IJssel, NL	4	4	178	34	23	51.9	4.6
Helena, US	4	4	0	0	0	46.6	-112.0
Tuggerah, AU	4	3	7	5	0	-33.3	151.4
Villeurbanne, FR	4	4	45	19	9	45.8	4.9
Petach Tikva, IL	4	3	39	12	3	32.1	34.9
Kwai Chung, HK	4	4	26	17	8	22.4	114.1
Baltimore, US	4	4	15	5	5	39.3	-76.6
Sheffield, GB	4	4	33	22	9	53.4	-1.5
McAllen, US	4	4	0	0	0	26.2	-98.2
Missoula, US	4	4	0	0	0	46.9	-114.0
Syracuse, US	4	3	2	2	0	43.0	-76.1
Bogota, CO	4	3	3	2	0	4.7	-74.1
Kiel, DE	3	3	10	5	4	54.3	10.1
Balzers, LI	3	3	16	13	7	47.1	9.5
's-Hertogenbosch, NL	3	3	134	30	13	51.7	5.3
Emeryville, US	3	2	94	29	16	37.8	-122.3
Yerevan, AM	3	3	22	12	5	40.2	44.5
Wuerzburg, DE	3	3	10	6	5	49.8	10.0
Innsbruck, AT	3	3	17	9	3	47.3	11.4
Wolverhampton, GB	3	2	16	11	4	52.6	-2.1
Glostrup, DK	3	3	94	40	22	55.7	12.4
Billerica, US	3	3	55	13	4	42.6	-71.3
Voesendorf, AT	3	3	97	37	19	48.1	16.3
Pune, IN	3	3	1	1	0	18.5	73.9
Oakland, US	3	3	110	33	18	37.8	-122.3
Dnipropetrovsk, UA	3	2	12	7	0	48.5	35.0
Milpitas, US	3	3	87	28	17	37.4	-121.9
Winter Park, US	3	3	5	2	1	28.6	-81.3
Corsham, GB	3	3	19	10	6	51.4	-2.2
Poitiers, FR	3	3	5	4	3	46.6	0.3
Herring Cove, CA	3	3	3	2	1	44.6	-63.6
Kita-ku, JP	3	3	9	6	1	34.7	135.5
Solna, SE	3	3	80	36	22	59.4	18.0
Kiev , UA	3	3	74	52	12	50.5	30.5
Alixan, FR	3	3	4	4	2	45.0	5.0
Cheltenham, GB	3	3	12	9	6	51.9	-2.1
Edison, US	3	3	31	17	6	40.5	-74.4
Laredo, US	3	3	0	0	0	27.5	-99.5
Reims, FR	3	2	8	7	3	49.3	4.0
Hyderabad, IN	3	3	1	1	0	17.4	78.5
Northampton, GB	3	2	16	10	3	52.2	-0.9
Bochum, DE	3	2	85	34	24	51.5	7.2
Mountain View, US	3	3	100	36	20	37.4	-122.1
Kolding, DK	3	3	8	3	2	55.5	9.5
Pekanbaru, ID	3	3	0	0	0	0.5	101.4
Bruce, AU	3	3	1	1	0	-35.2	149.1
Noida , IN	3	3	4	4	0	28.5	77.4
Newcastle upon Tyne, GB	3	3	7	6	4	55.0	-1.6
Falkenberg, SE	3	3	1	1	0	56.9	12.5
Bamberg, DE	3	3	39	14	9	49.9	10.9
Hannover, DE	3	3	17	7	6	52.4	9.7
Kosice, SR	3	3	3	3	0	48.7	21.3
Lille, FR	3	3	38	15	9	50.6	3.1
Jersey City, US	3	3	34	17	8	40.7	-74.1
Parsippany, US	3	2	29	17	7	40.9	-74.4
Melano, CH	3	3	30	12	3	45.9	9.0
Saint-Etienne, FR	3	3	18	12	5	45.4	4.4
Newcastle-Upon-Tyne, GB	3	3	7	6	4	55.0	-1.6
Courbevoie, FR	3	3	230	48	30	48.9	2.3
Schiltigheim, FR	3	3	35	14	7	48.6	7.7
Maputo, MZ	3	2	6	5	2	-25.9	32.6
Katy, US	3	3	7	4	3	29.8	-95.8
Sioux Falls, US	3	2	0	0	0	43.5	-96.7
could not determine lat/long for 'Poznań, PL'
#problem on Poznań, PL (gravity:2)
could not determine lat/long for 'Vélizy Villacoublay, FR'
#problem on Vélizy Villacoublay, FR (gravity:2)
Waterloo NSW, AU	2	2	45	23	15	-33.9	151.2
Cairo, EG	2	1	1	1	0	30.0	31.2
Porto, PT	2	1	5	5	0	41.2	-8.6
Le Lamentin, MQ	2	2	0	0	0	14.6	-61.0
Medellin, CO	2	2	1	1	0	6.3	-75.6
La Garenne Colombes, FR	2	2	230	48	30	48.9	2.2
Brasilia , BR	2	2	2	2	1	-15.8	-47.9
Niteroi, BR	2	1	3	3	0	-22.9	-43.1
St Leonards, AU	2	2	49	25	15	-33.8	151.2
Navi Mumbai, IN	2	2	2	2	1	19.0	73.0
HKG, HK	2	2	26	17	8	22.3	113.9
Rochester, US	2	2	7	3	2	43.2	-77.6
Olten, CH	2	2	106	48	33	47.3	7.9
Zuidbroek, NL	2	2	13	8	6	53.2	6.9
Contern, LU	2	2	64	32	15	49.6	6.2
Dusseldorf, DE	2	2	99	37	25	51.2	6.8
Brighton, GB	2	2	16	13	4	50.8	-0.1
Boras, SE	2	2	4	4	0	57.7	12.9
Knoxville, US	2	2	0	0	0	36.0	-83.9
Ancona, IT	2	2	5	2	1	43.6	13.5
Galway, IE	2	2	4	4	1	53.3	-9.1
Asheville, US	2	2	1	1	0	35.6	-82.6
New Taipei City, TW	2	2	5	5	1	25.1	121.5
Surry, GB	2	2	218	58	29	51.3	-0.6
could not determine lat/long for 'Gdańsk, PL'
#problem on Gdańsk, PL (gravity:2)
Kielce, PL	2	2	2	2	1	50.9	20.6
Dietikon, CH	2	2	140	43	31	47.4	8.4
Woolloongabba, AU	2	2	18	12	4	-27.5	153.0
Lublin, PL	2	2	3	3	0	51.2	22.6
Baulkham Hills, AU	2	2	47	24	15	-33.8	151.0
Indianaplois, US	2	2	0	0	0	39.8	-86.2
Bournemouth, GB	2	2	19	14	7	50.7	-1.9
Bydgoszcz, PL	2	2	8	8	0	53.1	18.0
SJ, CR	2	1	0	0	0	37.6	-107.8
Varna, BG	2	2	6	4	2	43.2	27.9
Sittard, NL	2	2	79	25	14	51.0	5.9
Regensburg, DE	2	2	9	5	2	49.0	12.1
Rancho Cordova, US	2	2	9	5	1	38.6	-121.3
could not determine lat/long for 'Goiânia, BR'
#problem on Goiânia, BR (gravity:2)
Beijin, CN	2	2	2	2	1	39.9	116.4
Aracaju, BR	2	2	0	0	0	-10.9	-37.1
Apeldoorn, NL	2	2	94	26	21	52.2	6.0
Campo Bom, BR	2	2	7	5	3	-29.7	-51.1
Kapolei, US	2	2	2	1	1	21.3	-158.1
could not determine lat/long for 'Cesson Sevigné, FR'
#problem on Cesson Sevigné, FR (gravity:2)
Chessington, GB	2	2	218	59	28	51.4	-0.3
Burgas, BG	2	2	2	2	0	42.5	27.5
South Bend, US	2	2	1	1	0	41.7	-86.3
Heerlen, NL	2	2	75	27	14	50.9	6.0
Ascoli Piceno, IT	2	2	3	3	1	42.9	13.6
Milton, AU	2	2	18	12	4	-27.5	153.0
Wakefield, US	2	2	52	12	4	42.5	-71.1
Olsztyn, PL	2	2	1	1	1	53.8	20.5
Plovdiv, BG	2	2	9	5	2	42.1	24.7
could not determine lat/long for 'München, DE'
#problem on München, DE (gravity:2)
LAMBERSART, FR	2	2	38	15	9	50.7	3.0
Cayenne, GF	2	2	1	1	0	4.9	-52.3
Jamisontown, AU	2	2	22	12	6	-33.8	150.7
Hiawatha, US	2	2	0	0	0	42.0	-91.7
Sint Maarten, SX	2	2	0	0	0	18.0	-63.1
Liverpool, GB	2	2	36	21	15	53.4	-3.0
Somerset, US	2	2	0	0	0	37.1	-84.6
Dundee, GB	2	2	4	3	2	56.5	-3.0
Luanda, AO	2	2	2	2	0	-8.8	13.3
Tauranga, NZ	2	2	2	2	0	-37.7	176.2
Darmstadt, DE	2	2	184	52	37	49.9	8.7
Dueren, DE	2	2	92	25	15	50.8	6.5
Norfolk, US	2	2	0	0	0	36.9	-76.3
Saint-Denis, FR	2	2	230	48	30	48.9	2.4
Burnaby, CA	2	2	18	10	5	49.2	-123.0
Villers-le-Bouillet, BE	2	2	40	13	7	50.6	5.3
Lognres, FR	2	2	229	48	30	48.8	2.6
San Juan, PR	2	2	2	2	2	18.5	-66.1
could not determine lat/long for 'Łódź, PL'
#problem on Łódź, PL (gravity:2)
Alphen aan den Rijn, NL	2	2	294	28	16	52.1	4.7
could not determine lat/long for 'Querétaro, Querétaro, MX'
#problem on Querétaro, Querétaro, MX (gravity:2)
Petah-Tiqwa, IL	2	2	39	12	3	32.1	34.9
Haid, AT	2	2	16	12	4	48.3	14.1
Manno, CH	2	2	23	9	3	46.0	8.9
Szczecin, PL	2	2	3	2	0	53.4	14.6
Reno, US	2	2	7	4	3	39.5	-119.8
Salvador, BR	2	2	1	1	0	-13.0	-38.5
could not determine lat/long for 'Rüsselsheim, DE'
#problem on Rüsselsheim, DE (gravity:2)
could not determine lat/long for 'Wrocław, PL'
#problem on Wrocław, PL (gravity:2)
Bozeman, US	2	2	1	1	0	45.7	-111.0
Skanderborg, DK	2	2	19	10	4	56.0	9.9
Chisinau, MD	2	2	16	12	4	47.0	28.9
could not determine lat/long for 'Białystok, PL'
#problem on Białystok, PL (gravity:2)
Aarhus, DK	2	2	18	10	4	56.2	10.2
San Juan, US	2	1	0	0	0	26.2	-98.2
Tucson, US	2	2	2	2	1	32.2	-110.9
Kitchener, CA	2	2	3	2	1	43.5	-80.5
Garden City, US	2	2	33	17	7	40.7	-73.6
Cheyenne, US	2	2	0	0	0	41.1	-104.8
Jena, DE	2	1	12	10	6	50.9	11.6
could not determine lat/long for 'Mörfelden, DE'
#problem on Mörfelden, DE (gravity:2)
Memphis, US	2	2	0	0	0	35.1	-90.0
Lindon, US	2	2	12	5	2	40.3	-111.7
Donetsk, UA	2	2	9	9	1	48.0	37.8
Lynnwood, US	2	2	44	14	6	47.8	-122.3
Mile End South, AU	2	2	5	3	1	-34.9	138.6
could not determine lat/long for 'Rzeszów, PL'
#problem on Rzeszów, PL (gravity:2)
could not determine lat/long for 'Poznań, PL'
#problem on Poznań, PL (gravity:2)
Feldkirch, AT	2	2	16	12	8	47.2	9.6
Belle Plaine, US	2	2	3	3	0	44.6	-93.8
Stevenage, GB	2	2	186	55	27	51.9	-0.2
Erembodegem, BE	2	2	120	27	12	50.9	4.1
Quito, EC	2	2	2	2	0	-0.2	-78.5
Waalwijk, NL	2	2	128	34	16	51.7	5.1
Muenchenstein, CH	2	2	23	12	7	47.5	7.6
Hampshire, GB	2	2	38	21	12	51.1	-1.3
Varsity Lakes, AU	2	2	1	1	0	-28.1	153.4
Honolulu, US	2	2	2	1	1	21.3	-157.9
Kaliningrad, RU	2	2	4	4	2	54.7	20.5
Tours, FR	2	2	9	3	3	47.4	0.7
Wroclaw, PL	2	2	11	6	2	51.1	17.0
could not determine lat/long for 'Kraków, PL'
#problem on Kraków, PL (gravity:2)
Romainville, FR	2	2	231	48	30	48.9	2.4
Sandston, US	2	2	1	1	0	37.5	-77.3
Jurong East, SG	2	2	71	24	15	1.3	103.7
Lima, PE	2	1	6	3	1	-12.0	-77.0
Alkmaar , NL	2	2	182	29	20	52.6	4.8
Accra, GH	2	2	3	3	0	5.6	-0.2
Doetinchem, NL	2	2	65	22	17	52.0	6.3
Staten Island, US	2	2	35	18	8	40.6	-74.2
Piti, GU	2	2	8	5	0	13.4	144.7
Dowsing Point, AU	2	2	1	1	0	-42.8	147.3
Rock Hill, US	2	2	0	0	0	34.9	-81.0
Duluth, US	2	2	0	0	0	46.8	-92.1
Bissen, LU	1	1	60	30	15	49.8	6.1
Silverwater, AU	1	1	45	23	15	-33.8	151.1
could not determine lat/long for 'Hünenberg, CH'
#problem on Hünenberg, CH (gravity:1)
Shenton Park, AU	1	1	11	9	3	-32.0	115.8
Fleet, GB	1	1	95	42	21	51.3	-0.8
Mangalore, IN	1	1	1	1	1	12.9	74.9
Nottingham, GB	1	1	26	14	5	53.0	-1.2
Valenciennes, FR	1	1	32	15	7	50.4	3.5
Derrimut, AU	1	1	24	15	6	-37.8	144.8
Alexandria, EG	1	1	0	0	0	31.2	29.9
Richardson, US	1	1	24	14	9	32.9	-96.7
Norwalk, US	1	1	37	16	11	33.9	-118.1
Waterloo, CA	1	1	3	2	1	43.5	-80.5
Colorado Springs, US	1	1	2	2	1	38.8	-104.8
Chandler, US	1	1	8	3	2	33.3	-111.8
Forrest City, US	1	1	0	0	0	35.0	-90.8
Windsor, CA	1	1	3	3	1	38.5	-122.8
Douglas, US	1	1	0	0	0	31.5	-82.8
could not determine lat/long for 'Košice, SK'
#problem on Košice, SK (gravity:1)
Orlando, US	1	1	5	2	1	28.5	-81.4
Essen, DE	1	1	85	33	22	51.5	7.0
Salford, GB	1	1	56	33	17	53.5	-2.3
Susupe, MP	1	1	0	0	0	15.2	145.7
Keflavik, IS	1	1	9	8	6	64.0	-22.6
Saint Aunes, FR	1	1	8	6	3	43.6	4.0
Fareham, GB	1	1	26	16	9	50.9	-1.2
Les Milles, FR	1	1	34	14	7	43.5	5.4
Quarrata, IT	1	1	12	9	2	43.8	11.0
San Sebastian, ES	1	1	3	3	0	43.3	-2.0
Magdeburg, DE	1	1	2	2	2	52.1	11.6
could not determine lat/long for 'Spånga, SE'
#problem on Spånga, SE (gravity:1)
Ulyanovsk, RU	1	1	2	2	2	54.3	48.4
Saint Etienne du Rouvray, FR	1	1	14	7	3	49.4	1.1
Riverton, US	1	1	11	5	2	40.5	-111.9
Bielefeld, DE	1	1	35	13	8	52.0	8.5
Villebon-sur-Yvette, FR	1	1	229	47	30	48.7	2.2
Plan-les-Ouates, CH	1	1	44	25	9	46.2	6.1
could not determine lat/long for 'Rennesøy, NO'
#problem on Rennesøy, NO (gravity:1)
Gosport, GB	1	1	22	15	7	50.8	-1.1
Midrand, ZA	1	1	32	17	9	-26.0	28.1
Winterthur, CH	1	1	132	44	31	47.5	8.7
Dededo, GU	1	1	8	5	0	13.5	144.9
Birmingham, GB	1	1	15	12	4	52.5	-1.9
Colstrip, US	1	1	0	0	0	45.9	-106.6
Sundsvall, SE	1	1	1	1	1	62.4	17.3
Albuquerque, US	1	1	1	1	1	35.1	-106.6
Nice, FR	1	1	17	8	6	43.7	7.3
Wheatland, US	1	1	5	4	1	39.0	-121.4
Culpeper, US	1	1	1	1	0	38.5	-78.0
Olomouc, CZ	1	1	11	9	3	49.6	17.3
Santa Ana, US	1	1	23	11	7	33.7	-117.9
Bangalore, IN	1	1	5	3	0	13.0	77.6
Watertown, US	1	1	52	12	4	42.4	-71.2
Herford, DE	1	1	32	13	8	52.1	8.7
Welwyn Garden City, GB	1	1	209	56	29	51.8	-0.2
Sha Tin, HK	1	1	26	17	8	22.4	114.2
Saint-Laurent, CA	1	1	28	14	8	45.5	-73.7
Paderborn, DE	1	1	35	13	8	51.7	8.8
Talahassee, US	1	1	1	1	0	30.4	-84.3
Alsip, US	1	1	20	9	3	41.7	-87.7
Lebanon, US	1	1	1	1	1	36.2	-86.3
Northlake, US	1	1	22	10	3	41.9	-87.9
Americana, BR	1	1	0	0	0	-22.7	-47.3
Torrevieja, ES	1	1	1	1	1	38.0	-0.7
Casablanca, MA	1	1	0	0	0	33.6	-7.6
Springfield, US	1	1	1	1	0	37.2	-93.3
Miamisburg, US	1	1	5	2	1	39.6	-84.3
MUMBAI, IN	1	1	2	2	1	19.1	72.9
Machelen, BE	1	1	118	27	13	50.9	4.4
Cincinnati , US	1	1	2	1	1	39.1	-84.5
Casper , US	1	1	0	0	0	42.9	-106.3
Wels, AT	1	1	17	13	4	48.2	14.0
Solothurn, CH	1	1	37	14	8	47.2	7.5
Lagos, NG	1	1	3	3	1	6.5	3.4
West Chester, US	1	1	31	6	2	40.0	-75.6
Deerfield, US	1	1	22	9	3	42.2	-87.8
Perg, AT	1	1	16	13	4	48.2	14.6
could not determine lat/long for 'Villa Gobernador Gálvez, AR'
#problem on Villa Gobernador Gálvez, AR (gravity:1)
Oxford, GB	1	1	55	22	12	51.8	-1.3
jakarta, ID	1	1	22	19	6	-6.2	106.8
Hardenberg, NL	1	1	47	13	13	52.6	6.6
LILLE, FR	1	1	38	15	9	50.6	3.1
Val de Reuil, FR	1	1	13	6	3	49.3	1.2
San Benedetto del Tronto, IT	1	1	3	3	1	43.0	13.9
Gent, BE	1	1	51	9	6	51.1	3.7
could not determine lat/long for 'Reykjanesbær, IS'
#problem on Reykjanesbær, IS (gravity:1)
Stockton, US	1	1	1	1	0	38.0	-121.3
Tehran, IR	1	1	38	21	3	35.7	51.4
KolKata, IN	1	1	1	1	0	22.6	88.4
Saint Trivier sur Moignans, FR	1	1	44	19	10	46.1	4.9
Reykjavik, IS	1	1	9	8	6	64.1	-21.8
Lyon, FR	1	1	45	19	9	45.8	4.8
Guayaquil, EC	1	1	0	0	0	-2.2	-79.9
Gisborne, NZ	1	1	0	0	0	-38.7	178.0
Taquara, BR	1	1	2	2	1	-29.7	-50.8
Ankara, TR	1	1	8	5	0	39.9	32.9
Darwin, AU	1	1	0	0	0	-12.5	130.8
Scottsdale, US	1	1	8	3	2	33.5	-111.9
Mount Prospect, US	1	1	22	9	3	42.1	-87.9
Schwerin, DE	1	1	3	2	1	53.6	11.4
West Valley City, US	1	1	11	4	2	40.7	-112.0
Bothell, US	1	1	45	13	6	47.8	-122.2
Hope, US	1	1	0	0	0	33.7	-93.6
Mtunzini, ZA	1	1	1	1	1	-29.0	31.8
Leipzig, DE	1	1	14	10	5	51.3	12.4
Utica, US	1	1	0	0	0	43.1	-75.2
East Grand Forks, US	1	1	1	1	0	47.9	-97.0
Tahir, AM	1	1	1	1	0	30.0	31.3
Erfurt, DE	1	1	13	8	5	51.0	11.0
THANE, IN	1	1	2	2	1	19.2	73.0
Rostock, DE	1	1	3	2	1	54.1	12.1
Herndon, US	1	1	79	26	16	39.0	-77.4
Kizilurt, RU	1	1	0	0	0	43.2	46.9
Son, NL	1	1	73	25	9	51.5	5.5
Modesto, US	1	1	2	2	1	37.6	-121.0
Santiago, CL	1	1	12	4	1	-33.4	-70.7
IJsselstein, NL	1	1	319	30	17	52.0	5.0
Mannheim, DE	1	1	84	23	21	49.5	8.5
Olds, CA	1	1	0	0	0	51.8	-114.1
could not determine lat/long for 'Aubière, FR'
#problem on Aubière, FR (gravity:1)
Tirunelveli, IN	1	1	0	0	0	8.7	77.8
Lombard, US	1	1	22	10	3	41.9	-88.0
San Antonio, US	1	1	0	0	0	29.4	-98.5
Bellingham, US	1	1	2	2	0	48.7	-122.5
Ashland, US	1	1	0	0	0	42.2	-122.7
BOULIAC, FR	1	1	11	7	3	44.8	-0.5
Evans, US	1	1	109	33	18	37.7	-122.4
Bertrange, LU	1	1	63	31	15	49.6	6.1
Bergen, NO	1	1	9	7	5	60.4	5.3
Hall, AT	1	1	18	10	4	47.3	11.5
Nesconset, US	1	1	10	4	1	40.9	-73.2
Fez, MA	1	1	0	0	0	34.0	-5.0
Albany, US	1	1	1	1	0	42.7	-73.8
Plattsburgh, US	1	1	2	1	1	44.7	-73.5
Hall in Tirol, AT	1	1	18	10	4	47.3	11.5
Brugg, CH	1	1	134	44	32	47.5	8.2
Westbury, US	1	1	34	18	7	40.8	-73.6
Norcross, US	1	1	17	5	4	33.9	-84.2
Bellevue, US	1	1	45	13	6	47.6	-122.2
Teisnach, DE	1	1	3	2	1	49.0	13.0
Cartagena, CO	1	1	0	0	0	10.4	-75.5
Montgomery, US	1	1	0	0	0	32.4	-86.3
Manipal, IN	1	1	0	0	0	13.4	74.8
State College, US	1	1	5	2	2	40.8	-77.9
Hawthorne, US	1	1	33	14	11	33.9	-118.4
could not determine lat/long for 'Cuiabá, BR'
#problem on Cuiabá, BR (gravity:1)
Richmond, US	1	1	1	1	0	37.5	-77.4
Gurgaon, IN	1	1	4	4	0	28.5	77.0
Plano, US	1	1	25	14	9	33.0	-96.7
Pyrmont, AU	1	1	46	23	15	-33.9	151.2
Tunis, TN	1	1	4	1	1	36.8	10.2
Cedar Falls, US	1	1	0	0	0	42.5	-92.4
could not determine lat/long for 'Luleå, SE'
#problem on Luleå, SE (gravity:1)
Bannockburn, US	1	1	22	9	3	42.2	-87.9
Gillette, US	1	1	1	1	1	44.3	-105.5
Cedar Knolls, US	1	1	29	17	7	40.8	-74.5
Chugwater, US	1	1	0	0	0	41.8	-104.8
Norderstedt, DE	1	1	72	26	18	53.7	10.0
Shanghai, CN	1	1	3	1	0	31.2	121.5
Arsenal, MU	1	1	6	3	1	-20.1	57.5
Zuerich, CH	1	1	136	44	31	47.4	8.5
Koeln, DE	1	1	97	32	20	50.9	7.0
Highlands Ranch, US	1	1	19	5	3	39.5	-105.0
Tucurui, BR	1	1	0	0	0	-3.8	-49.7
Prague 10, CZ	1	1	105	47	21	50.1	14.5
Hof, DE	1	1	9	4	4	50.3	11.9
Zlin, CZ	1	1	19	8	5	49.2	17.7
Tenth of Ramadan, EG	1	1	0	0	0	30.3	31.7
Pacheco, AR	1	1	16	9	3	-34.6	-58.5
Yaounde, CM	1	1	1	1	0	3.8	11.5
Lewisville, US	1	1	24	14	9	33.0	-97.0
could not determine lat/long for 'Vitória, BR'
#problem on Vitória, BR (gravity:1)
Waltham, US	1	1	52	12	4	42.4	-71.2
Suwanee, US	1	1	16	5	4	34.1	-84.1
Lvov, UA	1	1	6	5	0	49.8	24.0
Spanga, SE	1	1	81	36	22	59.4	17.9
Mexico, MX	1	1	3	3	0	19.4	-99.1
Sana'a, YE	1	1	0	0	0	15.4	44.2
Sheridan, US	1	1	0	0	0	44.8	-107.0
Aberdeen, GB	1	1	2	2	0	57.1	-2.1
KINSHASA, CD	1	1	0	0	0	-4.4	15.3
Makati City, PH	1	1	13	11	3	14.6	121.0
Leicester, GB	1	1	27	14	5	52.6	-1.1
Melbourne, US	1	1	1	1	0	28.1	-80.6
Evansville, US	1	1	0	0	0	38.0	-87.6
Hayes, GB	1	1	228	57	29	51.5	-0.4
Rostov-na-Donu, RU	1	1	4	4	0	47.2	39.7
Abovyan, AM	1	1	22	12	5	40.3	44.6
tehran, IR	1	1	38	21	3	35.7	51.4
Dresden, DE	1	1	12	9	7	51.1	13.7
Bagratashen, AM	1	1	0	0	0	41.2	44.8
South Burlington, US	1	1	2	1	1	44.5	-73.2
Vantaa, FI	1	1	55	19	13	60.3	25.0
Secaucus , US	1	1	33	17	8	40.8	-74.1
Salerno, IT	1	1	4	4	1	40.7	14.8
Burlington, US	1	1	2	1	1	44.5	-73.2
Cincinnati, US	1	1	2	1	1	39.1	-84.5
Falkenstein/Vogtland, DE	1	1	10	7	5	50.5	12.4
Sesto S.Giovanni, IT	1	1	49	30	12	45.5	9.2
Vienna (Wien), AT	1	1	98	37	19	48.2	16.4
Ulm, DE	1	1	16	10	7	48.4	10.0
Brooklyn, US	1	1	35	17	8	40.7	-73.9
Lenoir, US	1	1	1	1	0	35.9	-81.5
Cochabamba, BO	1	1	1	1	1	-17.4	-66.2
could not determine lat/long for 'Gjøvk, NO'
#problem on Gjøvk, NO (gravity:1)
Feira de Santana, BR	1	1	0	0	0	-12.3	-39.0
Metamorfosi, GR	1	1	65	16	8	38.1	23.8
Dnepropetrovsk, UA	1	1	12	7	0	48.5	35.0
Yaroslavl, RU	1	1	1	1	0	57.6	39.9
Stabio, CH	1	1	55	30	13	45.9	8.9
Karlskrona, SE	1	1	2	2	1	56.2	15.6
Rostov-on-Don, RU	1	1	4	4	0	47.2	39.7
San Javier, ES	1	1	1	1	1	37.8	-0.8
Farmers Branch, US	1	1	25	13	9	32.9	-96.9