Introduction
This addresses the question of whether the PingER data can identify the impact of COVID-19 on the Internet. According to https://thrivenextgen.com/covid-19-impact-on-internet-performance/ Most Internet Service Providers (ISPs) oversubscribe their bandwidth and networks as typical inbound and outbound traffic are bursty and often don’t sustain high levels on a continuous basis. Fortunately, most of the larger National Providers have had sufficient time to prepare for the impact of COVID-19 and plan for the possibility of business workloads shifting to the home. Regardless of this capacity planning, Internet traffic patterns are about to change drastically based on schools across the country opting for virtual learning and business work from home migrations. Also, Time Magazine April 5/ April 15, 2020, reports that "traffic worldwide is up 35%...Demand is highest in the evening in the past two weeks, says networking firm Century Link."
For example, one might expect that as schools shut, people self-isolate, are sent home from, work from home, lockdowns are imposed etc., physical person-to-person communications would migrate to the Internet and will increase the use of the Internet e.g. by virtual learning, streaming. communicating, gathering information and entertaining. The thought is that this will lead to different Internet patterns and possibly lead to Internet congestion. A study of the impact of COVID-19 on Internet speeds by Ookla ("TRACKING COVID-19’S IMPACT ON GLOBAL INTERNET PERFORMANCE") is directly relevant, however, it is hard to identify any dramatic impact on the latencies in the report. There is also COVID-19 impacts on Internet traffic: Seattle, Northern Italy, and South Korea which looks at the impact on Internet traffic volumes. Also companies such as Netflix, Amazon, Apple, Disney, Google have reduced the quality of their videos to help reduce traffic and congestion of the Internet (see https://www.traffic-masters.net/covid19-web-traffic-statistics/).
PingER uses the ping facility to measure the Round Trip Time (RTT) between about 20 monitoring sites and target hosts in over 160 countries (over 10,000 pairs of monitor-remote(target)_sites). Every 30 minutes the monitor sends up to 30 pings at one-second intervals to each target until there are 10 responses, and records the data which are daily gathered, archived, analyzed and presented at the archiving site.
- A timeline for COVID-19 can be found here. Also looking at a map of how the COVID-19 traveled the world or the HealthMap one can see how and when various regions were impacted.
- For detailed statistics see:
- For the raw data you can get up-to-date raw data on the coronavirus from Johns Hopkins from their GitHub site: https://github.com/CSSEGISandData/COVID-19. They have daily summaries and time series data, both available as CSV files. You just have to browse around a bit to find what you want. To get down to the level of US states and counties see https://github.com/nytimes/covid-19-data
- For scientific modeling of the COVAD-19's impacts see the Imperial College London reports on the Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand and Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. There are also projections for US hospital resources and deaths.
Note that for Europe, US and Canada the Christmas/New Year season (end November thru 2nd week in January) may also be expected to change behaviors.
Milestones and Statistics
The milestones, for the virus itself, include 1st identified case, 1st hospitalization, 1st community case, 1st death.
Other milestones are the social impacts that are more likely to impact the internet traffic. These include the social interventions:
- Social distancing encouraged
- Case-based measures
- School closures
- Public events banned
- Lockdown
- Interventions removed
Also, see COVID 19 Internet Usage timeline for how companies have reduced their Internet traffic.
Statistics:
- Number of days to double cases
- Basic reproduction number R0 the average number of secondary infections produced by an infectious case where everyone is susceptible.
- For R >1 each individual infected by a transmissible disease is expected to infect a number of individuals that increase exponentially. For R< each case transmit the disease to less than one individual and the disease dies out.
- Control reproductive number RC, the value of R in the presence of control measures.
- Incubation period
- Risk of importation
Monitoring
The PingER monitor at SLAC, Stanford University in California currently monitors about 100 hosts in China. Using the pingtable.pl web page we selected daily aggregated data from SLAC to China for the last 365 days and looked at various metrics derived from the RTTs. Since many of the targets are Universities that may have taken lockdown measures and sent many students and staff home, we decided to look at the overall impact on SLAC to China pings. To do this we scroll down the pingtable.pl page to summary tables as shown below.
We can cut and paste this table into Excel to enable further analysis and visualization. Also the summary data is analyzed on a regular basis and the results made available as CSV files at https://www-iepm.slac.stanford.edu/pinger/prmout/. The file names (e.g.average_rtt-EDU.SLAC.STANFORD.PINGER-continent-allmonthly.csv) provide the metric (average_rtt in example), the Monitoring Agent (EDU-SLAC.STANFORD.PINGER in example), the region (continent or country) and the time window of each data point (or Tick, e.g. monthly (=last 12 months), allmonthly, or allyearly).
China and North America
Looking at the plot of daily average RTTs there is a peak (going from 145ms to 160ms) in minimum (average RTT) from Jan 10 to Jan 24th 2020, plus another spike on Feb 19.
A similar result is seen for the daily minimum RTTs.
Currently I do not know why we see these bumps or what they are telling us.
Looking at the Inter Packet Delay Variation (IPDV, ) a measure of the variability between adjacent ping packet RTTs there is some evidence that the variability reduced between 18th Jan and March 10th 2020. The first person in China to die of the COVID-19 virus was reported on January 10th, and by January 31st there were 9,720 cases in China. Looking in more detail at the Healthmap one sees
Looking in more detail at the Healthmap one sees the dramatic spread of the virus in China between January 13 and January 20, 2020. Thus the drop in IPDV RTTs may indeed be linked to the impact of the growth of COVID-19 infections in China.
January 13, 2020 | January 20, 2020 |
---|---|
I can see nothing similar when looking at the US and Canada (N. America) IPDV data, maybe the effect is later in the evolution of the virus' impact.
Aggregating the IPDV data monthly for China we see the following where we show the median together with the 25% and 75% going back to September 2017:
Looking at the percent packet loss for China there may be some evidence for a change in the 75%. Thus the impact is seen for a few sites. However, the climb started in August-September 2019 so it is doubtful it is related to COVID-19. This conclusion is confirmed by looking at the monthly aggregates.
For the US and Canada the losses are lower and usually 0% (typically >=90% of the targets show no losses), so instead we show the average maximum losses
PingER monitors two hosts in Hubei: www.hbmy.edu.cn at Hubei University for Nationalities and Hubei University of Automotive Technology and www.huat.edu.cn at the Hubei University of Automotive Technology. The locations of the two Universities is shown below.
The hourly measurements for www.hbmy.edu.cn and www.huat.edu.cn are shown below (one can use the form https://www.slac.stanford.edu/cgi-bin/ping_data_plot.pl to create such a plot).
In general there are marked diurnal changes. There is a slight increase in RTTs following the Chinese New Year January 25th 2020. Then there is a small step reduction in RTTs March 10, 2020, followed by an increase in the packet losses starting March 18th 2020.
PingER average hourly RTT from SLAC to Hubei University for Nationalities | PingER percent hourly packet loss from SLAC to Hubei University for Nationalities |
If we look at the daily aggregates for the packet loss per cent, average RTT and Inter Packet Delay Variation www.hbmy.edu.cn and www.huat.edu.cn from 3/23/2019 thru 3/21/2020 and then expand to see the subset from 1/1/2020 thru 3/21/2020 we get the plots below.
Note that www.
It is clear that there are huge variations in the measurements over the last year. Looking at just 2020 data there does appear to be evidence for an almost factor of 2 change in the IPDVs towards the end of January, in opposite directions for the two hosts. N.b we might expect to see something following the January 23rd lockdown of the Wuhan region. There is a "flutter" in the IPDV around that time, whether it is related to the shutdown is unclear.
Looking at the aggregated monthly IPDVs for the two hosts we see:
Europe
Italy
Italy jumped from three incidents on Friday, February 21 to 229 by the time of WHO’s February 25 situation report
For Italy, PingER monitors 7 hosts. They are in Bologna, Udine, Rome, Pisa and Frascati. These are not the hardest hit areas (see here).
After removing one (vr1dx.fisica.uniud.it) which stopped responding on February 20, 2020 the IPDV for each of the Italian hosts appears as below:
There appears to be a dramatic drop in the IPDV for the target host speed.unidata.it in Bologna between the end of January and Feb 19th. Italy's first COVID-19 case was announced February 19th, thus it is doubtful this drop has anything to do with COVID-19.
A lockdown began for Northern Italy on March 8th and extended to all Italy on March 9th. A plot of the daily IPDV measured from SLAC to 6 Italian hosts together with some COVID-19 milestones is shown below. The milestones are 17 cases diagnosed Feb 21 (including first local transmissions) and 225(105 new) Feb 25. The progress of COVID-16 in Italy can be seen here. There are 6 Italian hosts being monitored from SLAC the values shown are the 25%, median and 75% of the daily IPDV measured for the 6 hosts for the given days.
Spain
There are 4 hosts in Spain monitored by SLAC www.ciemat.es and www.uam.es are in Madrid, speedtest.serevihost.es is in Elda in the province of Alicante in Eastern Spain, and www.ipv6tf.org.
For Spain:
- Self isolation was mandated March 17
- Social distancing was encouraged March 9
- Public events were banned March 14
- School closure was ordered March 13
- Lockdown was ordered March 14.
More Information.
Imperial College reports:
Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand, 16 March 2020
Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries, 30 March 2020
MIDAS Online portal for COVID-19 Modeling Research
Potential Long-term Intervention Strategies for COVID-19
Probably the best source of PingER data is https://www-iepm.slac.stanford.edu/pinger/prmout/ which is aggregated data for various metrics by region and time window (or tick).
Excel spreadsheets.
PingER data related to COVID-19 outbreak
COVID-19 cases and deaths by country
Region
Province/State
Country/Region
Lat
Long
1/22/20
1/23/20
1/24/20
1/25/20
1/26/20
1/27/20
1/28/20
1/29/20
1/30/20
1/31/20
2/1/20
2/2/20
2/3/20
2/4/20
2/5/20
2/6/20
2/7/20
2/8/20
2/9/20
2/10/20
2/11/20
2/12/20
2/13/20
2/14/20
2/15/20
2/16/20
2/17/20
2/18/20
2/19/20
2/20/20
2/21/20
2/22/20
2/23/20
2/24/20
2/25/20
2/26/20
2/27/20
2/28/20
2/29/20
3/1/20
3/2/20
3/3/20
3/4/20
3/5/20
3/6/20
3/7/20
3/8/20
3/9/20
3/10/20
3/11/20
3/12/20
3/13/20
3/14/20
3/15/20
3/16/20
3/17/20
3/18/20
3/19/20
3/20/20
3/21/20
3/22/20
3/23/20
3/24/20
3/25/20
3/26/20
3/27/20
3/28/20
3/29/20
3/30/20
3/31/20
Asia
Hong Kong
China
22.3
114.2
0
2
2
5
8
8
8
10
10
12
13
15
15
17
21
24
25
26
29
38
49
50
53
56
56
57
60
62
63
68
68
69
74
79
84
91
92
94
95
96
100
100
105
105
107
108
114
115
120
126
129
134
140
145
155
162
181
208
256
273
317
356
386
410
453
519
561
641
682
714
Asia
Hubei
China
30.9756
112.2707
444
444
549
761
1058
1423
3554
3554
4903
5806
7153
11177
13522
16678
19665
22112
24953
27100
29631
31728
33366
33366
48206
54406
56249
58182
59989
61682
62031
62442
62662
64084
64084
64287
64786
65187
65596
65914
66337
66907
67103
67217
67332
67466
67592
67666
67707
67743
67760
67773
67781
67786
67790
67794
67798
67799
67800
67800
67800
67800
67800
67800
67801
67801
67801
67801
67801
67801
67801
67801
Asia
Iran
32
53
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
5
18
28
43
61
95
139
245
388
593
978
1501
2336
2922
3513
4747
5823
6566
7161
8042
9000
10075
11364
12729
13938
14991
16169
17361
18407
19644
20610
21638
23049
24811
27017
29406
32332
35408
38309
41495
44605
Asia
Japan
36
138
2
2
2
2
4
4
7
7
11
15
20
20
20
22
22
22
25
25
26
26
26
28
28
29
43
59
66
74
84
94
105
122
147
159
170
189
214
228
241
256
274
293
331
360
420
461
502
511
581
639
639
701
773
839
839
878
889
924
963
1007
1101
1128
1193
1307
1387
1468
1693
1866
1866
1953
Asia
Korea, South
36
128
1
1
2
2
3
4
4
4
4
11
12
15
15
16
19
23
24
24
25
27
28
28
28
28
28
29
30
31
31
104
204
433
602
833
977
1261
1766
2337
3150
3736
4335
5186
5621
6088
6593
7041
7314
7478
7513
7755
7869
7979
8086
8162
8236
8320
8413
8565
8652
8799
8961
8961
9037
9137
9241
9332
9478
9583
9661
9786
Asia
Singapore
1.2833
103.8333
0
1
3
3
4
5
7
7
10
13
16
18
18
24
28
28
30
33
40
45
47
50
58
67
72
75
77
81
84
84
85
85
89
89
91
93
93
93
102
106
108
110
110
117
130
138
150
150
160
178
178
200
212
226
243
266
313
345
385
432
455
509
558
631
683
732
802
844
879
926
Asia
Taiwan*
23.7
121
1
1
3
3
4
5
8
8
9
10
10
10
10
11
11
16
16
17
18
18
18
18
18
18
18
20
22
22
23
24
26
26
28
30
31
32
32
34
39
40
41
42
42
44
45
45
45
45
47
48
49
50
53
59
67
77
100
108
135
153
169
195
215
235
252
267
283
298
306
322
Europe
France
46.2276
2.2137
0
0
2
3
3
3
4
5
5
5
6
6
6
6
6
6
6
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
14
18
38
57
100
130
191
204
285
377
653
949
1126
1209
1784
2281
2281
3661
4469
4499
6633
7652
9043
10871
12612
14282
16018
19856
22304
25233
29155
32964
37575
40174
44550
52128
Europe
Germany
51
9
0
0
0
0
0
1
4
4
4
5
8
10
12
12
12
12
13
13
14
14
16
16
16
16
16
16
16
16
16
16
16
16
16
16
17
27
46
48
79
130
159
196
262
482
670
799
1040
1176
1457
1908
2078
3675
4585
5795
7272
9257
12327
15320
19848
22213
24873
29056
32986
37323
43938
50871
57695
62095
66885
71808
Europe
Italy
43
12
0
0
0
0
0
0
0
0
0
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
20
62
155
229
322
453
655
888
1128
1694
2036
2502
3089
3858
4636
5883
7375
9172
10149
12462
12462
17660
21157
24747
27980
31506
35713
41035
47021
53578
59138
63927
69176
74386
80589
86498
92472
97689
101739
105792
Europe
Spain
40
-4
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
6
13
15
32
45
84
120
165
222
259
400
500
673
1073
1695
2277
2277
5232
6391
7798
9942
11748
13910
17963
20410
25374
28768
35136
39885
49515
57786
65719
73235
80110
87956
95923
UK
United Kingdom
55.3781
-3.436
0
0
0
0
0
0
0
0
0
2
2
2
2
2
2
2
3
3
3
8
8
9
9
9
9
9
9
9
9
9
9
9
9
13
13
13
15
20
23
36
40
51
85
115
163
206
273
321
382
456
456
798
1140
1140
1543
1950
2626
2689
3983
5018
5683
6650
8077
9529
11658
14543
17089
19522
22141
25150
US
US
37.0902
-95.7129
1
1
2
2
5
5
5
5
5
7
8
8
11
11
11
11
11
11
11
11
12
12
13
13
13
13
13
13
13
13
15
15
15
51
51
57
58
60
68
74
98
118
149
217
262
402
518
583
959
1281
1663
2179
2727
3499
4632
6421
7783
13677
19100
25489
33276
43847
53740
65778
83836
101657
121478
140886
161807
188172
Afghanistan
33
65
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
4
4
5
7
7
7
11
16
21
22
22
22
24
24
40
40
74
84
94
110
110
120
170
174
Albania
41.1533
20.1683
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
10
12
23
33
38
42
51
55
59
64
70
76
89
104
123
146
174
186
197
212
223
243
Algeria
28.0339
1.6596
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
3
5
12
12
17
17
19
20
20
20
24
26
37
48
54
60
74
87
90
139
201
230
264
302
367
409
454
511
584
716
Andorra
42.5063
1.5218
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
39
39
53
75
88
113
133
164
188
224
267
308
334
370
376
Angola
-11.2027
17.8739
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
2
3
3
3
4
4
5
7
7
7
Antigua and Barbuda
17.0608
-61.7964
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
3
3
3
7
7
7
7
7
7
Argentina
-38.4161
-63.6167
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
8
12
12
17
19
19
31
34
45
56
68
79
97
128
158
266
301
387
387
502
589
690
745
820
1054
Armenia
40.0691
45.0382
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
4
8
18
26
52
78
84
115
136
160
194
235
249
265
290
329
407
424
482
532
Australian Capital Territory
Australia
-35.4735
149.0124
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
2
3
4
6
9
19
32
39
39
53
62
71
77
78
80
New South Wales
Australia
-33.8688
151.2093
0
0
0
0
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
6
6
13
22
22
26
28
38
48
55
65
65
92
112
134
171
210
267
307
353
436
669
669
818
1029
1219
1405
1617
1791
2032
2032
Northern Territory
Australia
-12.4634
130.8456
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
1
1
1
1
1
1
1
1
1
3
3
5
5
6
6
12
12
15
15
15
17
Queensland
Australia
-28.0167
153.4
0
0
0
0
0
0
0
1
3
2
3
2
2
3
3
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
9
9
9
11
11
13
13
13
15
15
18
20
20
35
46
61
68
78
94
144
184
221
259
319
397
443
493
555
625
656
689
743
South Australia
Australia
-34.9285
138.6007
0
0
0
0
0
0
0
0
0
0
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
5
5
7
7
7
7
7
9
9
16
19
20
29
29
37
42
50
67
100
134
170
170
235
257
287
299
305
337
Tasmania
Australia
-41.4545
145.9707
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
2
2
2
3
3
5
5
6
7
7
10
10
10
16
22
28
28
36
47
47
62
66
66
69
Victoria
Australia
-37.8136
144.9631
0
0
0
0
1
1
1
1
2
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
7
7
9
9
10
10
10
11
11
15
18
21
21
36
49
57
71
94
121
121
121
229
355
355
411
466
520
574
685
769
821
917
Western Australia
Australia
-31.9505
115.8605
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
2
3
3
3
3
4
6
9
9
14
17
17
28
31
35
52
64
90
120
140
175
175
231
231
278
311
355
364
Austria
47.5162
14.5501
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
3
3
9
14
18
21
29
41
55
79
104
131
182
246
302
504
655
860
1018
1332
1646
2013
2388
2814
3582
4474
5283
5588
6909
7657
8271
8788
9618
10180
Azerbaijan
40.1431
47.5769
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
3
3
6
6
9
9
9
11
11
11
15
15
23
28
28
28
44
44
53
65
72
87
93
122
165
182
209
273
298
Bahamas
25.0343
-77.3963
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
3
3
4
4
4
5
5
9
10
10
11
14
14
Bahrain
26.0275
50.55
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
23
33
33
36
41
47
49
49
52
55
60
85
85
95
110
195
195
195
210
214
214
228
256
278
285
305
334
377
392
419
458
466
476
499
515
567
Bangladesh
23.685
90.3563
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
3
3
3
3
3
5
8
10
14
17
20
25
27
33
39
39
44
48
48
48
49
51
Barbados
13.1939
-59.5432
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
5
5
6
14
17
18
18
18
24
26
33
33
34
Belarus
53.7098
27.9534
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
6
6
6
6
6
6
9
9
12
27
27
27
36
36
51
51
69
76
76
81
81
86
86
94
94
94
152
152
Belgium
50.8333
4
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
8
13
23
50
109
169
200
239
267
314
314
559
689
886
1058
1243
1486
1795
2257
2815
3401
3743
4269
4937
6235
7284
9134
10836
11899
12775
Belize
13.1939
-59.5432
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
2
2
2
2
3
3
Benin
9.3077
2.3158
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
2
2
2
2
5
6
6
6
6
6
6
6
9
Bhutan
27.5142
90.4336
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
3
3
4
4
4
Bolivia
-16.2902
-63.5887
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
3
10
10
11
11
12
12
15
19
24
27
29
32
43
61
74
81
97
107
Bosnia and Herzegovina
43.9159
17.6791
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
3
3
3
5
7
11
13
18
24
25
26
38
63
89
93
126
136
166
176
191
237
258
323
368
420
Botswana
-22.3285
24.6849
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
4
Brazil
-14.235
-51.9253
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
2
2
2
4
4
13
13
20
25
31
38
52
151
151
162
200
321
372
621
793
1021
1546
1924
2247
2554
2985
3417
3904
4256
4579
5717
Brunei
4.5353
114.7277
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
11
11
37
40
50
54
56
68
75
78
83
88
91
104
109
114
115
120
126
127
129
Bulgaria
42.7339
25.4858
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
4
4
7
7
23
41
51
52
67
92
94
127
163
187
201
218
242
264
293
331
346
359
399
Burkina Faso
12.2383
-1.5616
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
2
2
2
3
15
15
20
33
40
64
75
99
114
146
152
180
207
222
246
261
Burma
21.9162
95.956
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
8
8
10
14
15
Burundi
-3.3731
29.9189
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
Cabo Verde
16.5388
-23.0418
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
3
3
3
4
4
5
5
6
6
6
Cambodia
11.55
104.9167
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
3
3
5
7
7
7
33
35
37
51
53
84
87
91
96
96
99
99
103
107
109
Cameroon
3.848
11.5021
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
2
2
2
2
2
2
2
4
10
10
13
20
27
40
56
66
75
75
91
91
139
139
193
Alberta
Canada
53.9333
-116.5765
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
4
7
7
19
19
29
29
39
56
74
97
119
146
195
259
301
359
358
486
542
542
621
661
690
British Columbia
Canada
49.2827
-123.1207
0
0
0
0
0
0
1
1
1
1
1
1
1
1
2
2
4
4
4
4
4
4
4
4
4
4
5
5
5
5
6
6
6
6
7
7
7
7
8
8
8
9
12
13
21
21
27
32
32
39
46
64
64
73
103
103
186
231
271
424
424
472
617
617
725
725
884
884
970
1013
Grand Princess
Canada
37.6489
-122.6655
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
8
9
9
10
10
13
13
13
13
13
13
13
13
13
13
Manitoba
Canada
53.7609
-98.8139
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
4
4
7
8
15
17
17
18
20
20
21
35
36
39
64
72
96
103
New Brunswick
Canada
46.5653
-66.4619
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
2
6
8
11
11
11
17
17
17
18
18
33
45
51
66
68
70
Newfoundland and Labrador
Canada
53.1355
-57.6604
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
3
3
4
6
9
24
35
35
82
102
120
135
148
152
Nova Scotia
Canada
44.682
-63.7443
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
5
7
12
14
15
21
28
41
51
68
73
90
110
122
127
147
Ontario
Canada
51.2538
-85.3232
0
0
0
0
1
1
1
1
1
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
6
6
11
15
18
20
20
22
25
28
29
34
36
41
42
74
79
104
177
185
221
257
308
377
425
503
588
688
858
994
1144
1355
1706
1966
Prince Edward Island
Canada
46.5107
-63.4168
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
2
2
2
3
3
3
5
5
9
11
11
18
21
Quebec
Canada
52.9399
-73.5491
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
2
2
3
4
4
4
8
9
17
17
24
50
74
94
121
139
181
219
628
1013
1342
1632
2024
2498
2840
3430
4162
Saskatchewan
Canada
52.9399
-106.4509
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
7
7
8
16
20
26
52
66
72
72
95
95
134
156
156
184
Diamond Princess
Canada
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Recovered
Canada
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Northwest Territories
Canada
64.8255
-124.8457
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
Yukon
Canada
64.2823
-135
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
4
4
4
5
Central African Republic
6.6111
20.9394
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
3
3
3
3
3
3
3
3
3
3
3
3
Chad
15.4542
18.7322
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
3
3
3
3
3
3
5
7
Chile
-35.6751
-71.543
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
4
4
4
8
8
13
23
23
43
61
74
155
201
238
238
434
537
632
746
922
1142
1306
1610
1909
2139
2449
2738
Anhui
China
31.8257
117.2264
1
9
15
39
60
70
106
152
200
237
297
340
408
480
530
591
665
733
779
830
860
889
910
934
950
962
973
982
986
987
988
989
989
989
989
989
989
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
990
Beijing
China
40.1824
116.4142
14
22
36
41
68
80
91
111
114
139
168
191
212
228
253
274
297
315
326
337
342
352
366
372
375
380
381
387
393
395
396
399
399
399
400
400
410
410
411
413
414
414
418
418
422
426
428
428
429
435
435
436
437
442
452
456
469
480
491
504
522
537
558
561
566
569
573
577
577
580
Chongqing
China
30.0572
107.874
6
9
27
57
75
110
132
147
182
211
247
300
337
366
389
411
426
428
468
486
505
518
529
537
544
551
553
555
560
567
572
573
575
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
576
577
578
578
578
578
578
578
579
579
579
Fujian
China
26.0789
117.9874
1
5
10
18
35
59
80
84
101
120
144
159
179
194
205
215
224
239
250
261
267
272
279
281
285
287
290
292
293
293
293
293
293
293
294
294
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
296
299
303
313
313
318
322
328
331
337
338
340
343
Gansu
China
37.8099
101.0583
0
2
2
4
7
14
19
24
26
29
40
51
55
57
62
62
67
79
83
83
86
87
90
90
90
90
91
91
91
91
91
91
91
91
91
91
91
91
91
91
91
91
91
102
119
120
124
124
125
127
127
127
129
133
133
133
133
134
134
134
136
136
136
136
136
136
136
138
138
138
Guangdong
China
23.3417
113.4244
26
32
53
78
111
151
207
277
354
436
535
632
725
813
895
970
1034
1095
1131
1159
1177
1219
1241
1261
1294
1316
1322
1328
1331
1332
1333
1339
1342
1345
1347
1347
1347
1348
1349
1349
1350
1350
1350
1351
1352
1352
1352
1352
1353
1356
1356
1356
1356
1360
1361
1364
1370
1378
1395
1400
1413
1415
1428
1433
1448
1456
1467
1475
1484
1494
Guangxi
China
23.8298
108.7881
2
5
23
23
36
46
51
58
78
87
100
111
127
139
150
168
172
183
195
210
215
222
222
226
235
237
238
242
244
245
246
249
249
251
252
252
252
252
252
252
252
252
252
252
252
252
252
252
252
252
252
252
252
252
252
253
253
253
254
254
254
254
254
254
254
254
254
254
254
254
Guizhou
China
26.8154
106.8748
1
3
3
4
5
7
9
9
12
29
29
38
46
58
64
71
81
89
99
109
127
133
135
140
143
144
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
146
147
146
146
146
146
146
146
146
146
146
146
146
146
146
146
Hainan
China
19.1959
109.7453
4
5
8
19
22
33
40
43
46
52
62
64
72
80
99
106
117
124
131
138
144
157
157
159
162
162
163
163
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
168
Hebei
China
39.549
116.1306
1
1
2
8
13
18
33
48
65
82
96
104
113
126
135
157
172
195
206
218
239
251
265
283
291
300
301
306
306
307
308
309
311
311
311
312
317
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
318
319
319
319
319
319
319
319
319
321
321
Heilongjiang
China
47.862
127.7615
0
2
4
9
15
21
33
38
44
59
80
95
121
155
190
227
277
295
307
331
360
378
395
419
425
445
457
464
470
476
479
479
480
480
480
480
480
480
480
480
480
480
480
481
481
481
481
481
481
482
482
482
482
482
482
482
482
483
484
484
484
484
484
484
484
484
484
484
484
484
Henan
China
33.882
113.614
5
5
9
32
83
128
168
206
278
352
422
493
566
675
764
851
914
981
1033
1073
1105
1135
1169
1184
1212
1231
1246
1257
1262
1265
1267
1270
1271
1271
1271
1271
1272
1272
1272
1272
1272
1272
1272
1272
1272
1272
1272
1272
1272
1273
1273
1273
1273
1273
1273
1273
1273
1273
1273
1273
1274
1274
1274
1274
1275
1275
1275
1276
1276
1276
Hunan
China
27.6104
111.7088
4
9
24
43
69
100
143
221
277
332
389
463
521
593
661
711
772
803
838
879
912
946
968
988
1001
1004
1006
1007
1008
1010
1011
1013
1016
1016
1016
1016
1017
1017
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
1018
Inner Mongolia
China
44.0935
113.9448
0
0
1
7
7
11
15
16
19
20
23
27
34
35
42
46
50
52
54
58
58
60
61
65
68
70
72
73
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
77
89
92
94
95
97
107
Jiangsu
China
32.9711
119.455
1
5
9
18
33
47
70
99
129
168
202
236
271
308
341
373
408
439
468
492
515
543
570
593
604
617
626
629
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
631
633
633
636
638
640
641
641
644
645
646
Jiangxi
China
27.614
115.7221
2
7
18
18
36
72
109
109
162
240
286
333
391
476
548
600
661
698
740
771
804
844
872
900
913
925
930
933
934
934
934
934
934
934
934
934
934
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
935
936
936
936
936
936
936
936
937
937
937
Jilin
China
43.6661
126.1923
0
1
3
4
4
6
8
9
14
14
17
23
31
42
54
59
65
69
78
80
81
83
84
86
88
89
89
89
90
91
91
91
91
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
93
94
95
95
97
98
98
98
Liaoning
China
41.2956
122.6085
2
3
4
17
21
27
34
39
41
48
64
70
74
81
89
94
99
105
107
108
111
116
117
119
119
121
121
121
121
121
121
121
121
121
121
121
121
121
121
122
122
125
125
125
125
125
125
125
125
125
125
125
125
125
125
125
125
125
126
126
127
127
127
127
128
128
132
134
136
139
Macau
China
22.1667
113.55
1
2
2
2
5
6
7
7
7
7
7
8
8
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
11
12
15
17
17
18
24
24
25
30
31
33
37
37
38
41
Ningxia
China
37.2692
106.1655
1
1
2
3
4
7
11
12
17
21
26
28
31
34
34
40
43
45
45
49
53
58
64
67
70
70
70
70
71
71
71
71
71
71
71
71
72
72
73
73
74
74
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
Qinghai
China
35.7452
95.9956
0
0
0
1
1
6
6
6
8
8
9
11
13
15
17
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
18
Shaanxi
China
35.1917
108.8701
0
3
5
15
22
35
46
56
63
87
101
116
128
142
165
173
184
195
208
213
219
225
229
230
232
236
240
240
242
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
245
246
246
246
247
248
248
248
249
250
253
253
253
253
253
253
Shandong
China
36.3427
118.1498
2
6
15
27
46
75
95
130
158
184
206
230
259
275
307
347
386
416
444
466
487
497
509
523
532
537
541
543
544
546
749
750
754
755
756
756
756
756
756
758
758
758
758
758
758
758
758
758
758
760
760
760
760
760
760
761
761
761
762
764
767
768
768
769
771
772
772
772
773
774
Shanghai
China
31.202
121.4491
9
16
20
33
40
53
66
96
112
135
169
182
203
219
243
257
277
286
293
299
303
311
315
318
326
328
333
333
333
334
334
335
335
335
336
337
337
337
337
337
337
338
338
339
342
342
342
342
344
344
344
346
353
353
355
358
361
363
371
380
404
404
414
433
451
468
485
492
498
509
Shanxi
China
37.5777
112.2922
1
1
1
6
9
13
27
27
35
39
47
66
74
81
81
96
104
115
119
119
124
126
126
127
128
129
130
131
131
132
132
132
132
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
133
134
134
134
135
135
135
136
136
136
Sichuan
China
30.6171
102.7103
5
8
15
28
44
69
90
108
142
177
207
231
254
282
301
321
344
364
386
405
417
436
451
463
470
481
495
508
514
520
525
526
526
527
529
531
534
538
538
538
538
538
538
539
539
539
539
539
539
539
539
539
539
539
539
540
540
540
541
542
543
543
545
547
547
548
548
550
550
550
Tianjin
China
39.3054
117.323
4
4
8
10
14
23
24
27
31
32
41
48
60
67
69
79
81
88
91
95
106
112
119
120
122
124
125
128
130
131
132
135
135
135
135
135
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
136
137
137
137
137
141
145
145
151
155
161
166
174
174
Tibet
China
31.6927
88.0924
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Xinjiang
China
41.1129
85.2401
0
2
2
3
4
5
10
13
14
17
18
21
24
29
32
36
39
42
45
49
55
59
63
65
70
71
75
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
76
Yunnan
China
24.974
101.487
1
2
5
11
16
26
44
55
70
83
93
105
117
122
128
133
138
138
141
149
153
154
156
162
168
171
171
172
172
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
174
176
176
176
176
176
176
176
176
176
176
178
180
180
180
180
182
Zhejiang
China
29.1832
120.0934
10
27
43
62
104
128
173
296
428
538
599
661
724
829
895
954
1006
1048
1075
1092
1117
1131
1145
1155
1162
1167
1171
1172
1174
1175
1203
1205
1205
1205
1205
1205
1205
1205
1205
1205
1206
1213
1213
1215
1215
1215
1215
1215
1215
1215
1215
1215
1227
1231
1231
1232
1232
1233
1234
1236
1238
1238
1240
1241
1243
1247
1251
1254
1255
1257
Colombia
4.5709
-74.2973
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
3
9
9
13
22
34
54
65
93
102
128
196
231
277
378
470
491
539
608
702
798
906
Congo (Brazzaville)
-4.0383
21.7587
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
3
3
3
3
4
4
4
4
4
4
19
19
19
Congo (Kinshasa)
-4.0383
21.7587
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
2
2
2
3
4
14
18
23
30
36
45
48
51
51
65
65
81
98
Costa Rica
9.7489
-83.7534
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
5
9
9
13
22
23
26
27
35
41
50
69
89
117
134
158
177
201
231
263
295
314
330
347
Cote d'Ivoire
7.54
-5.5471
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
5
6
9
9
14
14
25
73
80
96
101
101
165
168
179
Croatia
45.1
15.2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
3
5
6
7
7
9
10
10
11
12
12
12
14
19
19
32
38
49
57
65
81
105
128
206
254
315
382
442
495
586
657
713
790
867
Cuba
22
-80
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
4
4
4
4
5
7
11
16
21
35
40
48
57
67
80
119
139
170
186
Cyprus
35.1264
33.4299
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
3
6
6
14
26
26
33
46
49
67
67
84
95
116
124
132
146
162
179
214
230
262
Czechia
49.8175
15.473
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
5
8
12
18
19
31
31
41
91
94
141
189
253
298
396
464
694
833
995
1120
1236
1394
1654
1925
2279
2631
2817
3001
3308
Faroe Islands
Denmark
61.8926
-6.9118
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
2
2
2
2
2
3
9
11
18
47
58
72
80
92
115
118
122
132
140
144
155
159
168
169
Greenland
Denmark
71.7069
-42.6043
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
2
2
4
4
5
6
6
10
10
10
10
10
Denmark
56.2639
9.5018
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
4
4
6
10
10
23
23
35
90
262
442
615
801
827
864
914
977
1057
1151
1255
1326
1395
1450
1591
1724
1877
2046
2201
2395
2577
2860
Diamond Princess
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
61
61
64
135
135
175
175
218
285
355
454
542
621
634
634
634
691
691
691
705
705
705
705
705
705
706
706
706
706
706
706
706
706
706
706
706
706
706
706
706
712
712
712
712
712
712
712
712
712
712
712
712
712
712
Djibouti
11.8251
42.5903
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
3
3
11
11
12
14
18
18
30
Dominica
15.415
-61.371
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
2
7
11
11
11
11
11
12
Dominican Republic
18.7357
-70.1627
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
2
2
5
5
5
5
5
5
11
11
11
21
21
34
72
112
202
245
312
392
488
581
719
859
901
1109
Ecuador
-1.8312
-78.1834
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
6
6
7
10
13
13
13
14
15
15
17
17
17
28
28
37
58
111
199
367
506
789
981
1082
1173
1403
1595
1823
1924
1962
2240
Egypt
26
30
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
3
15
15
49
55
59
60
67
80
109
110
150
196
196
256
285
294
327
366
402
456
495
536
576
609
656
710
El Salvador
13.7942
-88.8965
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
3
3
5
9
13
13
19
24
30
32
Equatorial Guinea
1.5
10
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
4
6
6
6
6
9
9
9
12
12
12
12
12
12
Eritrea
15.1794
39.7823
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
4
6
6
6
12
12
15
Estonia
58.5953
25.0136
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
2
2
3
10
10
10
10
12
16
16
79
115
171
205
225
258
267
283
306
326
352
369
404
538
575
645
679
715
745
Eswatini
-26.5225
31.4659
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
4
4
4
4
6
9
9
9
9
9
Ethiopia
9.145
40.4897
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
5
5
6
6
9
9
11
11
12
12
12
16
16
21
23
26
Fiji
-17.7134
178.065
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
3
4
5
5
5
5
5
5
5
Finland
64
26
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
3
6
6
6
6
12
15
15
23
30
40
59
59
155
225
244
277
321
336
400
450
523
626
700
792
880
958
1041
1167
1240
1352
1418
French Guiana
France
3.9339
-53.1258
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
5
5
5
5
5
5
5
5
7
11
11
11
11
15
18
18
20
23
28
28
28
28
28
43
43
French Polynesia
France
-17.6797
149.4068
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
3
3
3
3
6
11
15
18
18
25
25
30
30
30
30
36
36
Guadeloupe
France
16.25
-61.5833
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
6
18
27
33
45
53
58
62
62
73
73
73
102
106
106
114
Mayotte
France
-12.8275
45.1662
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
3
3
6
7
11
24
36
36
36
50
63
63
82
94
New Caledonia
France
-20.9043
165.618
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
4
4
8
10
14
14
15
15
15
15
16
Reunion
France
-21.1351
55.2471
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
5
6
7
9
9
12
14
28
45
64
71
94
111
135
145
183
183
224
247
Saint Barthelemy
France
17.9
-62.8333
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
3
3
3
1
1
1
1
1
1
1
3
3
3
3
3
3
3
3
3
3
3
5
5
5
6
6
St Martin
France
18.0708
-63.0501
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
2
2
2
2
2
3
4
4
4
5
8
8
11
11
11
11
11
15
15
Martinique
France
14.6415
-61.0242
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
3
3
3
9
9
15
16
19
23
32
32
44
53
57
66
66
81
93
93
93
128
Gabon
-0.8037
11.6094
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
3
4
5
5
6
6
7
7
7
7
7
16
Gambia
13.4432
-15.3101
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
2
3
3
3
3
3
4
4
4
Georgia
42.3154
43.3569
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
3
3
3
3
4
4
4
13
15
15
24
24
25
30
33
33
34
38
40
43
49
54
61
70
75
79
83
90
91
103
110
Ghana
7.9465
-1.0232
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
6
6
7
7
11
16
19
23
27
53
93
132
137
141
152
152
161
Greece
39.0742
21.8243
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
4
4
7
7
7
9
31
45
46
73
73
89
99
99
190
228
331
331
387
418
418
495
530
624
695
743
821
892
966
1061
1156
1212
1314
Grenada
12.1165
-61.679
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
7
7
7
9
9
9
Guatemala
15.7835
-90.2308
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
6
6
9
12
17
19
20
21
24
25
28
34
34
36
38
Guinea
9.9456
-9.6966
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
2
2
4
4
4
4
8
8
16
22
22
Guinea-Bissau
11.8037
-15.1804
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
2
8
8
Guyana
5
-58.75
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
4
4
7
7
7
7
7
19
20
5
5
5
5
8
8
8
12
Haiti
18.9712
-72.2852
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
6
7
8
8
8
8
15
15
15
Holy See
41.9029
12.4534
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
4
4
4
4
6
6
6
6
Honduras
15.2
-86.2419
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
3
6
8
9
12
24
24
26
30
30
36
52
68
95
110
139
141
Hungary
47.1625
19.5033
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
4
7
9
9
13
13
19
30
32
39
50
58
73
85
103
131
167
187
226
261
300
343
408
447
492
Iceland
64.9631
-19.0208
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
6
11
26
34
43
50
50
58
69
85
103
134
156
171
180
220
250
330
409
473
568
588
648
737
802
890
963
1020
1086
1135
India
21
78
0
0
0
0
0
0
0
0
1
1
1
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
5
5
28
30
31
34
39
43
56
62
73
82
102
113
119
142
156
194
244
330
396
499
536
657
727
887
987
1024
1251
1397
Indonesia
-0.7893
113.9213
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
4
4
6
19
27
34
34
69
96
117
134
172
227
311
369
450
514
579
686
790
893
1046
1155
1285
1414
1528
Iraq
33
44
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
5
7
7
13
19
26
32
35
35
40
54
60
60
71
71
71
101
110
116
124
154
164
192
208
214
233
266
316
346
382
458
506
547
630
694
Ireland
53.1424
-7.6921
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
6
6
18
18
19
21
34
43
43
90
129
129
169
223
292
557
683
785
906
1125
1329
1564
1819
2121
2415
2615
2910
3235
Israel
31
35
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
2
3
4
7
10
10
12
15
20
37
43
61
61
75
79
100
126
155
213
218
250
304
427
529
712
883
1071
1238
2369
2693
3035
3619
4247
4695
5358
Jamaica
18.1096
-77.2975
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
8
8
10
10
12
13
15
16
16
19
19
21
26
26
26
30
32
36
36
Jordan
31.24
36.51
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
8
17
34
52
69
85
85
112
127
154
172
212
235
246
259
268
274
Kazakhstan
48.0196
66.9237
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
6
9
10
33
35
44
49
53
60
62
72
81
111
150
228
284
302
343
Kenya
-0.0236
37.9062
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
3
3
3
7
7
7
15
16
25
28
31
31
38
42
50
59
Kosovo
42.60264
20.90298
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
71
86
91
94
94
112
Kuwait
29.5
47.75
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
11
26
43
45
45
45
56
56
56
58
58
61
64
64
69
72
80
80
104
112
123
130
142
148
159
176
188
189
191
195
208
225
235
255
266
289
Kyrgyzstan
41.2044
74.7661
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
6
14
14
16
42
44
44
58
58
84
94
107
Laos
19.85627
102.4955
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
3
6
6
8
8
8
9
Latvia
56.8796
24.6032
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
2
6
8
10
10
17
26
30
34
49
71
86
111
124
139
180
197
221
244
280
305
347
376
398
Lebanon
33.8547
35.8623
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
2
2
2
4
10
13
13
13
16
22
22
32
32
41
61
61
77
93
110
110
120
133
157
163
187
248
267
318
333
368
391
412
438
446
470
Liberia
6.4281
-9.4295
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
2
2
3
3
3
3
3
3
3
3
3
3
3
Libya
26.3351
17.22833
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
3
8
8
10
Liechtenstein
47.14
9.55
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
4
4
4
7
28
28
28
37
37
51
51
51
56
56
56
56
62
68
Lithuania
55.1694
23.8813
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
3
3
6
8
12
17
25
27
36
49
83
143
179
209
274
299
358
394
460
491
537
Luxembourg
49.8153
6.1296
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
2
2
3
3
5
7
19
34
51
59
77
140
203
335
484
670
798
875
1099
1333
1453
1605
1831
1950
1988
2178
Madagascar
-18.7669
46.8691
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
3
12
17
19
23
26
26
39
43
57
Malaysia
2.5
112.5
0
0
0
3
4
4
4
7
8
8
8
8
8
10
12
12
12
16
16
18
18
18
19
19
22
22
22
22
22
22
22
22
22
22
22
22
23
23
25
29
29
36
50
50
83
93
99
117
129
149
149
197
238
428
566
673
790
900
1030
1183
1306
1518
1624
1796
2031
2161
2320
2470
2626
2766
Maldives
3.2028
73.2207
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
4
6
8
8
9
10
13
13
13
13
13
13
13
13
13
13
13
13
16
16
17
17
18
Mali
17.57069
-3.996166
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
4
11
18
18
25
28
Malta
35.9375
14.3754
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
3
5
6
6
12
18
21
30
38
38
53
64
73
90
107
110
129
134
139
149
151
156
169
Mauritania
21.0079
10.9408
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
2
2
2
2
2
2
2
3
3
5
5
5
6
Mauritius
-20.2
57.5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
12
14
28
36
42
48
81
94
102
107
128
143
Mexico
23.6345
-102.5528
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
4
5
5
5
5
5
6
6
7
7
7
8
12
12
26
41
53
82
93
118
164
203
251
316
367
405
475
585
717
848
993
1094
Moldova
47.4116
28.3699
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
3
3
6
12
23
23
30
30
49
66
80
94
109
125
149
177
199
231
263
298
353
Monaco
43.7333
7.4167
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
7
7
7
7
11
11
23
23
23
31
33
42
42
46
49
52
Mongolia
46.8625
103.8467
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
5
6
6
6
10
10
10
10
10
11
11
12
12
12
12
Montenegro
42.5
19.3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
3
14
14
21
27
47
52
69
82
84
85
91
109
Morocco
31.7917
-7.0926
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
2
2
2
2
3
5
6
7
17
28
29
38
49
63
77
96
115
143
170
225
275
345
402
479
556
617
Mozambique
-18.6657
35.52956
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
5
7
7
8
8
8
8
MS Zaandam
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
Namibia
-22.9576
18.4904
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
2
3
3
3
3
4
7
7
8
8
8
11
11
11
Nepal
28.1667
84.25
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
3
3
4
5
5
5
5
Aruba
Netherlands
12.5186
-70.0358
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
3
4
4
5
5
9
9
12
17
28
33
46
50
50
55
Curacao
Netherlands
12.1696
-68.99
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
3
3
3
3
3
3
4
6
6
6
8
8
8
11
11
Sint Maarten
Netherlands
18.0425
-63.0548
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
2
2
3
3
3
3
6
6
6
Netherlands
52.1326
5.2913
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
6
10
18
24
38
82
128
188
265
321
382
503
503
804
959
1135
1413
1705
2051
2460
2994
3631
4204
4749
5560
6412
7431
8603
9762
10866
11750
12595
New Zealand
-40.9006
174.886
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
3
3
4
5
5
5
5
5
5
5
6
8
8
12
20
28
39
52
102
102
155
205
283
368
451
514
589
647
Nicaragua
12.8654
-85.2072
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
2
2
2
2
2
2
4
4
4
5
Niger
17.6078
8.0817
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
2
3
3
7
10
10
10
18
27
27
Nigeria
9.082
8.6753
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
3
8
8
12
22
30
40
44
51
65
70
89
111
131
135
North Macedonia
41.6086
21.7453
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
3
3
3
3
7
7
7
14
14
14
18
26
35
48
67
85
115
136
148
177
201
219
241
259
285
329
Norway
60.472
8.4689
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
6
15
19
25
32
56
87
108
147
176
205
400
598
702
996
1090
1221
1333
1463
1550
1746
1914
2118
2385
2621
2863
3084
3369
3755
4015
4284
4445
4641
Oman
21
57
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
4
4
4
6
6
6
12
15
16
16
16
16
16
18
18
18
19
19
22
22
24
39
48
48
52
55
66
84
99
109
131
152
167
179
192
Pakistan
30.3753
69.3451
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
4
4
4
5
5
5
6
6
6
6
16
19
20
28
31
53
136
236
299
454
501
730
776
875
972
1063
1201
1373
1495
1597
1717
1938
Panama
8.538
-80.7821
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
8
11
27
36
43
55
69
86
109
137
200
313
345
345
443
558
674
786
901
989
1181
Papua New Guinea
-6.315
143.9555
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
Paraguay
-23.4425
-58.4438
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
5
5
6
6
6
8
9
11
11
13
18
22
22
27
37
41
52
56
59
64
65
Peru
-9.19
-75.0152
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
6
7
11
11
15
28
38
43
86
117
145
234
234
318
363
395
416
480
580
635
671
852
950
1065
Philippines
13
122
0
0
0
0
0
0
0
0
1
1
1
2
2
2
2
2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
5
6
10
20
33
49
52
64
111
140
142
187
202
217
230
307
380
462
552
636
707
803
1075
1418
1546
2084
Poland
51.9194
19.1451
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
5
5
11
16
22
31
49
68
103
119
177
238
251
355
425
536
634
749
901
1051
1221
1389
1638
1862
2055
2311
Portugal
39.3999
-8.2245
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
5
8
13
20
30
30
41
59
59
112
169
245
331
448
448
785
1020
1280
1600
2060
2362
2995
3544
4268
5170
5962
6408
7443
Qatar
25.3548
51.1839
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
3
7
8
8
8
8
15
18
24
262
262
320
337
401
439
439
452
460
470
481
494
501
526
537
549
562
590
634
693
781
Romania
45.9432
24.9668
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
3
3
3
3
4
6
9
9
15
15
25
45
49
89
123
131
158
184
260
277
308
367
433
576
794
906
1029
1292
1452
1815
2109
2245
Russia
60
90
0
0
0
0
0
0
0
0
0
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
4
13
13
17
17
20
20
28
45
59
63
90
114
147
199
253
306
367
438
495
658
840
1036
1264
1534
1836
2337
Rwanda
-1.9403
29.8739
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
5
7
8
8
17
17
19
36
40
41
50
54
60
70
70
75
Saint Kitts and Nevis
17.35782
-62.783
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
2
7
8
Saint Lucia
13.9094
-60.9789
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
2
2
2
2
2
2
2
3
3
3
3
3
3
9
9
13
Saint Vincent and the Grenadines
12.9843
-61.2872
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
San Marino
43.9424
12.4578
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
8
10
16
21
21
23
36
36
51
62
69
80
80
101
109
109
119
119
144
144
175
187
187
208
208
223
224
224
230
236
Saudi Arabia
24
45
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
5
5
5
11
15
20
21
45
86
103
103
118
171
171
274
344
392
511
562
767
900
1012
1104
1203
1299
1453
1563
Senegal
14.4974
-14.4524
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
4
4
4
4
4
4
4
4
4
10
10
24
24
26
31
31
38
47
67
79
86
99
105
119
130
142
162
175
Serbia
44.0165
21.0059
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
5
12
19
35
46
48
55
65
83
103
135
171
222
249
303
384
384
457
659
741
785
900
Seychelles
-4.6796
55.492
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
3
4
4
6
7
7
7
7
7
7
7
7
8
8
8
10
Sierra Leone
8.460555
-11.77989
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
Slovakia
48.669
19.699
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
3
7
10
16
32
44
54
63
72
105
123
137
178
185
186
204
216
226
269
292
314
336
363
Slovenia
46.1512
14.9955
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
7
7
16
16
31
57
89
141
181
219
253
275
275
286
341
383
414
442
480
528
562
632
684
730
756
802
Somalia
5.1521
46.1996
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
2
3
3
3
3
5
South Africa
-30.5595
22.9375
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
3
3
7
13
17
24
38
51
62
62
116
150
202
240
274
402
554
709
927
1170
1187
1280
1326
1353
Sri Lanka
7
81
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
6
10
18
28
44
51
60
73
77
82
97
102
102
106
106
113
117
122
143
Sudan
12.8628
30.2176
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
2
2
2
2
2
2
3
3
3
3
5
6
6
7
Suriname
3.9193
-56.0278
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
4
4
5
5
7
8
8
8
8
8
8
9
Sweden
63
16
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
7
7
12
14
15
21
35
94
101
161
203
248
355
500
599
814
961
1022
1103
1190
1279
1439
1639
1763
1934
2046
2286
2526
2840
3069
3447
3700
4028
4435
Switzerland
46.8182
8.2275
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
8
8
18
27
42
56
90
114
214
268
337
374
491
652
652
1139
1359
2200
2200
2700
3028
4075
5294
6575
7474
8795
9877
10897
11811
12928
14076
14829
15922
16605
Syria
34.80208
38.99682
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
5
5
5
5
9
10
10
Tanzania
-6.369
34.8888
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
3
6
6
6
12
12
12
12
13
13
14
14
19
19
Thailand
15
101
2
3
5
7
8
8
14
14
14
19
19
19
19
25
25
25
25
32
32
32
33
33
33
33
33
34
35
35
35
35
35
35
35
35
37
40
40
41
42
42
43
43
43
47
48
50
50
50
53
59
70
75
82
114
147
177
212
272
322
411
599
721
827
934
1045
1136
1245
1388
1524
1651
Timor-Leste
-8.874217
125.7275
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
Togo
8.6195
0.8248
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
9
16
16
18
20
23
23
25
25
25
30
34
Trinidad and Tobago
10.6918
-61.2225
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
4
5
7
9
9
49
50
51
57
60
65
66
74
78
82
87
Tunisia
34
9
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
2
2
5
7
7
16
18
18
20
24
29
39
54
60
75
89
114
173
197
227
278
312
312
394
Turkey
38.9637
35.2433
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
5
5
6
18
47
98
192
359
670
1236
1529
1872
2433
3629
5698
7402
9217
10827
13531
Uganda
1
32
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
9
9
14
14
23
30
33
33
44
Ukraine
48.3794
31.1656
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
3
3
3
7
14
14
16
29
47
73
73
97
145
196
310
356
475
548
645
United Arab Emirates
24
54
0
0
0
0
0
0
0
4
4
4
4
5
5
5
5
5
5
7
7
8
8
8
8
8
8
9
9
9
9
9
9
13
13
13
13
13
13
19
21
21
21
27
27
29
29
45
45
45
74
74
85
85
85
98
98
98
113
140
140
153
153
198
248
333
333
405
468
570
611
664
Bermuda
United Kingdom
32.3078
-64.7505
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
6
6
6
7
15
17
17
22
27
32
Cayman Islands
United Kingdom
19.3133
-81.2546
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
3
3
3
3
5
6
8
8
8
8
8
12
14
Channel Islands
United Kingdom
49.3723
-2.3644
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
2
2
2
3
6
6
6
11
14
32
32
36
36
46
66
88
97
108
141
141
Gibraltar
United Kingdom
36.1408
-5.3536
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
3
8
10
10
10
15
15
15
26
35
55
56
65
69
69
Isle of Man
United Kingdom
54.2361
-4.5481
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
5
13
23
23
25
29
32
42
49
60
Montserrat
United Kingdom
16.7425
-62.1874
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
5
5
5
5
5
5
Anguilla
United Kingdom
18.2206
-63.0686
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
British Virgin Islands
United Kingdom
18.4207
-64.64
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
3
Turks and Caicos Islands
United Kingdom
21.694
-71.7979
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
4
5
5
Uruguay
-32.5228
-55.7658
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
4
8
29
50
79
94
110
158
162
162
189
217
238
274
304
310
338
Uzbekistan
41.3775
64.5853
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
6
10
15
23
33
43
43
46
50
60
75
88
104
144
149
172
Venezuela
6.4238
-66.5897
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
10
17
33
36
42
42
70
70
77
84
91
107
107
119
119
135
135
Vietnam
16
108
0
2
2
2
2
2
2
2
2
2
6
6
8
8
8
10
10
13
13
14
15
15
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
16
18
30
30
31
38
39
47
53
56
61
66
75
85
91
94
113
123
134
141
153
163
174
188
203
212
West Bank and Gaza
31.9522
35.2332
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
7
16
16
19
26
30
30
31
35
38
38
39
41
44
47
48
52
59
59
59
84
91
98
109
116
119
Zambia
-15.4167
28.2833
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
3
3
3
12
16
22
28
29
35
35
Zimbabwe
-20
30
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
3
3
3
3
3
5
7
7
7
8