SunderS — Statistics

PH • Philippines

35.10% • 106 nodes

BY • Belarus

32.45% • 98 nodes

BE • Belgium

6.95% • 21 nodes

GB • United Kingdom

6.62% • 20 nodes

FI • Finland

2.32% • 7 nodes

SK • Slovakia

1.99% • 6 nodes

DE • Germany

1.66% • 5 nodes

RU • Russia

1.66% • 5 nodes

IT • Italy

1.32% • 4 nodes

FR • France

0.99% • 3 nodes

PH • Philippines

35.10% • 106 nodes

BY • Belarus

32.45% • 98 nodes

BE • Belgium

6.95% • 21 nodes

GB • United Kingdom

6.62% • 20 nodes

FI • Finland

2.32% • 7 nodes

SK • Slovakia

1.99% • 6 nodes

DE • Germany

1.66% • 5 nodes

RU • Russia

1.66% • 5 nodes

IT • Italy

1.32% • 4 nodes

FR • France

0.99% • 3 nodes

JP • Japan

0.66% • 2 nodes

UA • Ukraine

0.66% • 2 nodes

HU • Hungary

0.66% • 2 nodes

NO • Norway

0.33% • 1 node

ES • Spain

0.33% • 1 node

UZ • Uzbekistan

0.33% • 1 node

BD • Bangladesh

0.33% • 1 node

IQ • Iraq

0.33% • 1 node

AU • Australia

0.33% • 1 node

CH • Switzerland

0.33% • 1 node

CU • Cuba

0.33% • 1 node

PE • Peru

0.33% • 1 node

BO • Bolivia

0.33% • 1 node

NZ • New Zealand

0.33% • 1 node

LV • Latvia

0.33% • 1 node

ID • Indonesia

0.33% • 1 node

AR • Argentina

0.33% • 1 node

TH • Thailand

0.33% • 1 node

PT • Portugal

0.33% • 1 node

US • United States of America (USA)

0.33% • 1 node

IR • Iran

0.33% • 1 node

DZ • Algeria

0.33% • 1 node

TW • Taiwan (Republic of China)

0.33% • 1 node

CI • Ivory Coast

0.33% • 1 node

type: camera • area: not specified • worldwide
year: 2018 • month: December

1 Sa	2 Su	3 Mo	4 Tu	5 We	6 Th	7 Fr	8 Sa	9 Su	10 Mo	11 Tu	12 We	13 Th	14 Fr	15 Sa	16 Su	17 Mo	18 Tu	19 We	20 Th	21 Fr	22 Sa	23 Su	24 Mo	25 Tu	26 We	27 Th	28 Fr	29 Sa	30 Su	31 Mo
1 Sa	2 Su	3 Mo	4 Tu	5 We	6 Th	7 Fr	8 Sa	9 Su	10 Mo	11 Tu	12 We	13 Th	14 Fr	15 Sa	16 Su	17 Mo	18 Tu	19 We	20 Th	21 Fr	22 Sa	23 Su	24 Mo	25 Tu	26 We	27 Th	28 Fr	29 Sa	30 Su	31 Mo

PH • Philippines • 35.10% • 106 nodes
0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	43	59	0	0	0	0

BY • Belarus • 32.45% • 98 nodes
0	0	0	0	0	0	0	0	0	0	1	25	8	20	2	0	0	0	0	0	0	0	0	0	0	9	0	0	4	29	0

BE • Belgium • 6.95% • 21 nodes
0	0	0	0	2	0	1	0	0	0	0	0	0	1	5	0	0	0	0	2	1	0	1	8	0	0	0	0	0	0	0

GB • United Kingdom • 6.62% • 20 nodes
1	0	0	1	0	1	0	0	4	0	0	1	2	0	1	0	1	0	0	0	0	0	0	0	0	0	8	0	0	0	0

FI • Finland • 2.32% • 7 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2

SK • Slovakia • 1.99% • 6 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	6	0	0	0	0	0	0	0	0	0	0

DE • Germany • 1.66% • 5 nodes
0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	2	0

RU • Russia • 1.66% • 5 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	2	0	0	0	2	0	0

IT • Italy • 1.32% • 4 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	1	0	0	1	0	0	1	0	0	0	0	0

FR • France • 0.99% • 3 nodes
1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0

JP • Japan • 0.66% • 2 nodes
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0

UA • Ukraine • 0.66% • 2 nodes
0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

HU • Hungary • 0.66% • 2 nodes
0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

NO • Norway • 0.33% • 1 node
0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

ES • Spain • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

UZ • Uzbekistan • 0.33% • 1 node
0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

BD • Bangladesh • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

IQ • Iraq • 0.33% • 1 node
0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

AU • Australia • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0

CH • Switzerland • 0.33% • 1 node
1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CU • Cuba • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0

PE • Peru • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0

BO • Bolivia • 0.33% • 1 node
0	0	0	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	0	0	0

NZ • New Zealand • 0.33% • 1 node
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

LV • Latvia • 0.33% • 1 node
0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

ID • Indonesia • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0

AR • Argentina • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

TH • Thailand • 0.33% • 1 node
0	0	0	0	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	0	0

PT • Portugal • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

US • United States of America (USA) • 0.33% • 1 node
0	0	0	0	0	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	0

IR • Iran • 0.33% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

DZ • Algeria • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

TW • Taiwan (Republic of China) • 0.33% • 1 node
0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

CI • Ivory Coast • 0.33% • 1 node
0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Total • 100% • 302 nodes
3	2	1	4	2	6	1	0	6	0	1	30	14	27	10	0	2	1	2	4	9	1	2	9	2	53	67	1	8	32	2