Difference between revisions of "Asia Most Active Graticules"
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|[[Singapore, Singapore]]<br/>[[:Category:Meetup in 1 103|1 103]] | |[[Singapore, Singapore]]<br/>[[:Category:Meetup in 1 103|1 103]] | ||
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| colspan=2 rowspan=17 | | | colspan=2 rowspan=17 | |
Revision as of 04:25, 1 April 2019
This page tracks the most active graticules using two different measurements:
- the most expeditions (using Category:Expeditions)
- the most expeditions where somebody reached that day's geohashing coordinates (using Category:Coordinates reached).
NWoodruff updates the charts monthly, after waiting a week or so for stragglers to file expedition reports. An alternate source for information is Maps_and_Statistics.
Disclaimer: Only expeditions tracked through the categories above are counted. Ensure that your expeditions have the Expeditions category!
Note: This page now uses the regional graticule page All_graticules/Australasia instead of the All Graticules page.
Contents
Expeditions
as of 4/1/2019 4:25:24 AM UTC
Graticule | Meetup in | Total | Retro | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Jan | Feb | Mar | Apr | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Singapore, Singapore | 1 103 | 37 | 0 | 7 | 2 | 0 | 7 | 6 | 5 | 2 | 0 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | |
2 | Tōkyō, Japan | 35 139 | 8 | 0 | 0 | 3 | 2 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
3 | Delhi, India | 28 77 | 5 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
4 | Beijing, China | 39 116 | 3 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Utsunomiya, Japan | 36 139 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Jakarta, Indonesia | -6 106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
7 | Hyderabad, India | 17 78 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Seoul (West), South Korea | 37 126 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Bharatpur, Nepal | 27 84 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Yashkino, Russia | 55 85 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Surabaya, Indonesia | -7 112 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Manila, Philippines | 14 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
13 | Chiba, Japan | 35 140 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Yogyakarta, Indonesia | -7 110 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Bandung, Indonesia | -6 107 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Lampang, Thailand | 18 99 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Shanghai, China | 31 121 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Tsu, Japan | 34 136 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Yangshuo, China | 24 110 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Pokhara, Nepal | 28 83 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Kathmandu, Nepal | 27 85 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Mirzāpur, India | 25 82 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Satna, India | 24 80 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Chhatarpur, India | 24 79 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Banyuwangi, Indonesia | -8 114 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Ōsaka, Japan | 34 135 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Kyōto, Japan | 35 135 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Dushanbe, Tajikistan | 38 68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Sumbawa Besar, Indonesia | -8 117 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Davao, Philippines | 7 125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | |||
Bengkulu, Indonesia | -3 102 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Nakhon Si Thammarat, Thailand | 8 99 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Nagoya, Japan | 35 136 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Nailongxiang, China | 28 86 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Kuala Lumpur, Malaysia | 3 101 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Langtang National Park, Nepal | 28 85 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Tiruppūr, India | 11 77 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Kayseri, Turkey | 38 35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Ulaanbaatar, Mongolia | 47 106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
2019 Monthly records, single graticule only Month 1st 2nd 3rd January 0 0 0 February 0 0 0 March 0 0 0 April 0 0 0
Coordinates reached
as of 4/1/2019 4:25:24 AM UTC
Graticule | Meetup in | Total | Changes | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Jan | Feb | Mar | Apr | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Singapore, Singapore | 1 103 | 28 | 7y 38w 2d+ | 3 | 1 | 0 | 5 | 5 | 4 | 2 | 0 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | |
2 | Tōkyō, Japan | 35 139 | 7 | 7y 38w 2d- | 0 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
3 | Delhi, India | 28 77 | 5 | 7y 38w 2d- | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
4 | Beijing, China | 39 116 | 3 | 6y 51w 0d+ | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Utsunomiya, Japan | 36 139 | 6y 51w 0d- | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
6 | Hyderabad, India | 17 78 | 2 | 5y 45w 2d+ | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Jakarta, Indonesia | -6 106 | 4y 5w 3d+ | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
8 | Chiba, Japan | 35 140 | 1 | 4y 5w 3d- | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Yogyakarta, Indonesia | -7 110 | 4y 5w 3d- | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Bandung, Indonesia | -6 107 | 4y 5w 3d- | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Lampang, Thailand | 18 99 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Shanghai, China | 31 121 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Tsu, Japan | 34 136 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Yangshuo, China | 24 110 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Pokhara, Nepal | 28 83 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Kathmandu, Nepal | 27 85 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Mirzāpur, India | 25 82 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Satna, India | 24 80 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Chhatarpur, India | 24 79 | 4y 5w 3d- | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Banyuwangi, Indonesia | -8 114 | 4y 5w 3d- | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Bharatpur, Nepal | 27 84 | 4y 5w 3d- | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Yashkino, Russia | 55 85 | 4y 5w 3d- | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Ōsaka, Japan | 34 135 | 4y 5w 3d- | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Kyōto, Japan | 35 135 | 4y 5w 3d- | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Surabaya, Indonesia | -7 112 | 4y 5w 3d- | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Seoul (West), South Korea | 37 126 | 4y 5w 3d- | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Dushanbe, Tajikistan | 38 68 | 4y 5w 3d- | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Manila, Philippines | 14 120 | 4y 23w 6d* | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Sumbawa Besar, Indonesia | -8 117 | 3y 2w 2d* | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |||
Davao, Philippines | 7 125 | 2y 10w 1d* | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
2019 Monthly records, single graticule only Month 1st 2nd 3rd January 0 0 0 February 0 0 0 March 0 0 0 April 0 0 0
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This is a ribbon for the graticule page. Don't forget to select the correct options: categories "total expeditions" vs "coordinates reached" and "most active of all time" vs "most active of the month"
Template:Most active graticule
This graticule earned the Most Active Graticule achievement
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