Difference between revisions of "Most active countries"

From Geohashing
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|28||{{flag|BR}} [[:Category:Meetup in Brazil|Brazil]]||14||1||1||0||0||1||0||3||1||1||1||0||0||1||1||0||0||3
 
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|29||{{flag|IE}} [[:Category:Meetup in Ireland|Ireland]]||12||2||0||0||0||0||0||0||0||0||0||0||1||2||2||1||4||0
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|29||{{flag|IE}} [[:Category:Meetup in Ireland|Ireland]]||13||3||0||0||0||0||0||0||0||0||0||0||1||2||2||1||4||0
 
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|30||{{flag|CN}} [[:Category:Meetup in China|China]]||12||0||0||2||2||0||0||0||0||0||1||0||0||1||1||5||0||0
 
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|29||{{flag|IN}} [[:Category:Meetup in India|India]]||10||0||0||0||0||0||0||0||0||0||0||0||2||0||0||8||0||0
 
|29||{{flag|IN}} [[:Category:Meetup in India|India]]||10||0||0||0||0||0||0||0||0||0||0||0||2||0||0||8||0||0
 
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|30||{{flag|IE}} [[:Category:Meetup in Ireland|Ireland]]||9||1||0||0||0||0||0||0||0||0||0||0||0||1||2||1||4||0
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|30||{{flag|IE}} [[:Category:Meetup in Ireland|Ireland]]||10||2||0||0||0||0||0||0||0||0||0||0||0||1||2||1||4||0
 
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|31||{{flag|SI}} [[:Category:Meetup in Slovenia|Slovenia]]||8||1||0||0||0||0||0||0||0||0||0||1||0||2||1||1||1||1
 
|31||{{flag|SI}} [[:Category:Meetup in Slovenia|Slovenia]]||8||1||0||0||0||0||0||0||0||0||0||1||0||2||1||1||1||1

Revision as of 00:04, 23 November 2024

The following table shows countries by their number of reached and total expeditions as of 2024-11.

Methodology and Limitations

For the purpose of this list, a country is defined as anything that has a ISO 3166-1 code.

This page is generated by looking where location templates are transcluded, and at the expeditions category and the coordinates reached category. This page is only as good as those categories.

Check out the program's source code.

Expeditions

# Country Σ 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 09 08
1 🇺🇸 United States of America 5694 155 204 178 149 195 120 144 156 234 288 348 577 608 371 573 765 629
2 🇩🇪 Germany 5264 335 449 278 347 255 259 219 186 248 368 410 286 314 333 283 508 186
3 🇬🇧 United Kingdom 1480 53 25 23 9 33 29 41 46 187 327 52 98 167 113 105 124 48
4 🇦🇺 Australia 973 86 94 94 50 26 17 15 24 29 36 29 81 97 40 54 102 99
5 🇫🇮 Finland 670 21 19 13 25 45 27 26 33 49 63 92 92 35 35 52 23 20
6 🇨🇦 Canada 565 16 12 6 7 16 5 12 10 6 11 20 29 36 56 110 120 93
7 🇳🇱 Netherlands 476 48 26 23 19 22 20 18 28 34 45 42 22 52 10 9 16 42
8 🇸🇪 Sweden 421 0 2 4 6 13 8 1 4 5 8 14 26 118 77 60 49 26
9 🇨🇭 Switzerland 296 26 32 6 7 18 1 2 3 11 12 14 55 41 32 14 16 6
10 🇫🇷 France 285 32 40 35 38 24 7 2 10 6 3 15 14 15 11 7 18 8
11 🇮🇱 Israel 208 49 40 19 25 5 9 25 13 0 0 1 4 6 3 0 8 1
12 🇵🇱 Poland 204 4 37 5 9 8 4 7 8 5 24 16 33 13 6 18 4 3
13 🇳🇿 New Zealand 164 2 10 4 1 3 3 10 6 8 16 15 5 12 16 28 7 18
14 🇳🇴 Norway 161 12 29 33 2 2 1 0 0 0 3 4 0 16 10 27 2 20
15 🇪🇸 Spain 153 3 10 43 49 1 1 5 0 2 4 4 10 8 2 4 5 2
16 🇦🇹 Austria 142 4 4 6 4 2 1 2 5 8 26 48 15 2 3 5 4 3
17 🇷🇺 Russia 106 0 2 1 17 4 1 0 3 4 2 6 42 21 2 1 0 0
18 🇮🇹 Italy 63 4 4 0 2 0 0 1 0 1 7 6 12 9 4 8 4 1
19 🇨🇿 Czechia 57 3 1 0 0 0 0 1 0 0 13 4 4 8 5 6 7 5
20 🇸🇬 Singapore 46 2 4 3 1 1 0 1 5 2 0 2 5 4 7 0 2 7
21 🇩🇰 Denmark 45 2 0 0 2 5 2 0 0 1 5 3 3 4 3 3 5 7
22 🇧🇪 Belgium 43 2 0 1 0 1 0 2 2 1 2 2 3 9 3 4 5 6
23 🇦🇷 Argentina 31 2 0 0 0 0 0 1 1 3 17 3 2 2 0 0 0 0
24 🇭🇺 Hungary 28 0 1 4 0 0 1 0 0 3 5 2 2 0 0 0 1 9
25 🇧🇬 Bulgaria 27 0 0 0 0 0 0 0 0 0 0 6 3 6 8 4 0 0
26 🇮🇩 Indonesia 17 0 0 2 0 0 1 0 1 4 1 2 1 1 1 0 3 0
27 🇯🇵 Japan 16 0 0 0 0 0 0 0 0 0 1 0 0 5 0 4 6 0
28 🇧🇷 Brazil 14 1 1 0 0 1 0 3 1 1 1 0 0 1 1 0 0 3
29 🇮🇪 Ireland 13 3 0 0 0 0 0 0 0 0 0 0 1 2 2 1 4 0
30 🇨🇳 China 12 0 0 2 2 0 0 0 0 0 1 0 0 1 1 5 0 0
31 🇮🇳 India 11 0 0 0 0 0 0 0 0 0 0 0 2 1 0 8 0 0
32 🇸🇮 Slovenia 10 1 0 0 0 0 0 0 0 1 0 1 0 2 1 1 1 2
33 🇽🇮 international waters 9 3 0 0 0 1 1 0 0 0 0 0 1 1 0 0 0 2
34 🇲🇽 Mexico 9 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 4 1
35 🇸🇰 Slovakia 8 0 0 0 0 0 0 0 0 1 4 0 0 0 0 2 0 1
36 🇺🇦 Ukraine 7 0 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 1
37 🇭🇷 Croatia 7 0 1 0 0 0 0 0 0 0 3 2 0 1 0 0 0 0
38 🇬🇷 Greece 7 0 0 0 0 1 0 0 0 1 1 2 0 2 0 0 0 0
39 🇿🇦 South Africa 6 0 0 0 0 0 0 2 0 0 0 0 0 1 1 0 2 0
40 🇹🇷 Turkey 5 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 3 0
41 🇵🇹 Portugal 5 0 0 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0
42 🇳🇵 Nepal 5 0 0 0 0 0 0 0 0 0 0 0 0 0 2 3 0 0
43 🇲🇾 Malaysia 4 0 0 0 0 0 0 0 1 0 0 0 0 2 0 1 0 0
44 🇱🇻 Latvia 4 0 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0
45 🇷🇴 Romania 3 0 0 0 0 0 0 0 0 0 2 0 0 1 0 0 0 0
46 🇵🇭 Philippines 3 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0
47 🇱🇺 Luxembourg 3 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1
48 🇱🇹 Lithuania 3 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0
49 🇰🇷 South Korea 3 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0
50 🇪🇪 Estonia 3 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0
51 🇨🇾 Cyprus 3 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0
52 🇨🇷 Costa Rica 3 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0
53 🇨🇱 Chile 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2
54 🇺🇿 Uzbekistan 2 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
55 🇹🇭 Thailand 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
56 🇲🇹 Malta 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
57 🇯🇪 Jersey 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0
58 🇮🇸 Iceland 2 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
59 🇦🇶 Antarctica 2 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0
60 🇻🇳 Vietnam 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
61 🇺🇾 Uruguay 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
62 🇹🇿 Tanzania 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
63 🇹🇼 Taiwan 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
64 🇹🇳 Tunisia 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
65 🇹🇯 Tajikistan 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
66 🇸🇲 San Marino 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
67 🇸🇯 Svalbard and Jan Mayen 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
68 🇷🇸 Serbia 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
69 🇵🇸 Palestine 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
70 🇵🇷 Puerto Rico 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
71 🇵🇪 Peru 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
72 🇳🇦 Namibia 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
73 🇲🇶 Martinique 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
74 🇲🇦 Morocco 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
75 🇱🇮 Liechtenstein 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
76 🇰🇭 Cambodia 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
77 🇰🇬 Kyrgyzstan 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
78 🇩🇴 Dominican Republic 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
79 🇨🇺 Cuba 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
80 🇦🇪 United Arab Emirates 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0

Coordinates reached

# Country Σ 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 09 08
1 🇩🇪 Germany 4679 293 424 251 312 238 230 200 166 219 331 353 252 275 293 240 447 155
2 🇺🇸 United States of America 4247 119 169 144 110 145 95 99 125 177 228 278 436 438 267 427 588 402
3 🇬🇧 United Kingdom 1224 46 22 18 7 21 24 33 40 164 285 44 82 132 95 84 101 26
4 🇦🇺 Australia 773 79 87 82 44 24 15 11 20 24 26 22 59 53 35 45 69 78
5 🇫🇮 Finland 627 19 17 12 23 43 26 26 33 49 62 87 82 31 32 49 20 16
6 🇨🇦 Canada 413 12 10 6 6 11 4 12 9 5 7 14 20 29 47 83 76 62
7 🇳🇱 Netherlands 382 44 17 20 17 19 16 16 24 25 34 33 19 42 6 6 13 31
8 🇸🇪 Sweden 368 0 2 2 5 8 7 1 4 5 7 14 24 110 66 49 45 19
9 🇨🇭 Switzerland 269 26 29 5 5 16 1 2 3 10 12 13 52 36 26 14 14 5
10 🇫🇷 France 243 30 33 32 34 22 5 2 7 5 3 13 11 13 8 5 14 6
11 🇵🇱 Poland 178 4 32 5 8 8 4 6 7 5 22 15 26 11 6 14 3 2
12 🇮🇱 Israel 161 39 27 15 19 3 8 22 11 0 0 1 4 5 2 0 5 0
13 🇳🇿 New Zealand 139 1 7 4 1 3 3 9 5 8 16 14 3 10 12 24 7 12
14 🇳🇴 Norway 139 12 27 33 2 2 0 0 0 0 3 4 0 15 8 19 1 13
15 🇦🇹 Austria 123 4 2 5 3 1 1 2 5 8 20 46 14 0 3 4 3 2
16 🇪🇸 Spain 122 3 8 34 37 0 1 4 0 2 4 4 7 7 2 3 5 1
17 🇷🇺 Russia 86 0 2 1 12 4 1 0 1 3 2 5 34 19 1 1 0 0
18 🇮🇹 Italy 51 3 2 0 1 0 0 1 0 1 7 6 9 7 4 5 4 1
19 🇨🇿 Czechia 49 3 1 0 0 0 0 1 0 0 12 2 2 7 5 5 7 4
20 🇩🇰 Denmark 35 2 0 0 2 3 2 0 0 1 4 3 3 3 2 2 4 4
21 🇸🇬 Singapore 34 2 4 1 1 1 0 1 4 2 0 2 4 3 5 0 1 3
22 🇧🇪 Belgium 34 2 0 0 0 1 0 2 2 1 2 2 2 7 3 3 4 3
23 🇧🇬 Bulgaria 25 0 0 0 0 0 0 0 0 0 0 5 3 6 8 3 0 0
24 🇦🇷 Argentina 25 1 0 0 0 0 0 1 1 3 14 3 1 1 0 0 0 0
25 🇭🇺 Hungary 20 0 1 2 0 0 1 0 0 2 5 2 2 0 0 0 1 4
26 🇯🇵 Japan 14 0 0 0 0 0 0 0 0 0 1 0 0 4 0 3 6 0
27 🇮🇩 Indonesia 13 0 0 1 0 0 1 0 1 4 1 1 1 0 1 0 2 0
28 🇧🇷 Brazil 11 1 1 0 0 0 0 2 1 1 1 0 0 0 1 0 0 3
29 🇮🇳 India 10 0 0 0 0 0 0 0 0 0 0 0 2 0 0 8 0 0
30 🇮🇪 Ireland 10 2 0 0 0 0 0 0 0 0 0 0 0 1 2 1 4 0
31 🇸🇮 Slovenia 8 1 0 0 0 0 0 0 0 0 0 1 0 2 1 1 1 1
32 🇨🇳 China 8 0 0 2 1 0 0 0 0 0 0 0 0 1 0 4 0 0
33 🇸🇰 Slovakia 7 0 0 0 0 0 0 0 0 1 4 0 0 0 0 1 0 1
34 🇲🇽 Mexico 7 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 3 1
35 🇺🇦 Ukraine 6 0 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 1
36 🇿🇦 South Africa 5 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 2 0
37 🇭🇷 Croatia 5 0 1 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0
38 🇬🇷 Greece 5 0 0 0 0 1 0 0 0 0 1 1 0 2 0 0 0 0
39 🇽🇮 international waters 4 2 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0
40 🇵🇹 Portugal 4 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 1 0
41 🇱🇻 Latvia 4 0 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0
42 🇳🇵 Nepal 3 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0
43 🇲🇾 Malaysia 3 0 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0
44 🇺🇿 Uzbekistan 2 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
45 🇷🇴 Romania 2 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0
46 🇵🇭 Philippines 2 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0
47 🇲🇹 Malta 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
48 🇱🇺 Luxembourg 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
49 🇱🇹 Lithuania 2 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
50 🇰🇷 South Korea 2 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
51 🇯🇪 Jersey 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0
52 🇮🇸 Iceland 2 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
53 🇪🇪 Estonia 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0
54 🇨🇾 Cyprus 2 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0
55 🇨🇱 Chile 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
56 🇦🇶 Antarctica 2 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0
57 🇻🇳 Vietnam 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
58 🇹🇼 Taiwan 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
59 🇹🇷 Turkey 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
60 🇹🇳 Tunisia 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
61 🇹🇯 Tajikistan 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
62 🇹🇭 Thailand 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
63 🇸🇲 San Marino 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
64 🇸🇯 Svalbard and Jan Mayen 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
65 🇷🇸 Serbia 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
66 🇵🇸 Palestine 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
67 🇱🇮 Liechtenstein 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
68 🇰🇬 Kyrgyzstan 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
69 🇨🇷 Costa Rica 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
70 🇦🇪 United Arab Emirates 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0

See also

Source code

The following program generates this page:

#!/bin/bash

# Copyright 2021 Fippe
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

api="https://geohashing.site/api.php?format=json"
expandAPI="$api&action=expandtemplates&prop=wikitext&text"
categoryAPI="$api&action=query&list=categorymembers&cmprop=title&cmlimit=500&cmtitle=Category"
transcludedAPI="$api&action=query&prop=transcludedin&tiprop=title&tilimit=500&titles"

dir="/tmp/geohashingstats"
mkdir -p "$dir"
currentyear=$(date +%Y)

function gen {
    date -u +"The following table shows countries by their number of reached and total expeditions as of %Y-%m. __TOC__"
    echo "==Methodology and Limitations=="
    echo -e "For the purpose of this list, a country is defined as anything that has a [[wikipedia:ISO 3166-1|ISO 3166-1]] code.\n\nThis page is generated by looking where [[:Category:Location templates|location templates]] are transcluded, and at the [[:Category:Expeditions|expeditions category]] and the [[:Category:Coordinates reached|coordinates reached category]]. This page is only as good as those categories.\n\nCheck out the [[#Source code|program's source code]]."

    codes=$(curl -s "$categoryAPI:Location_templates" | jq -r ".query.categorymembers[].title" | grep "/" | cut -d "/" -f 2 | while read -r code
        do echo "$code~%7B%7Blocation/$code%7D%7D"

        echo dummy > "$dir/$code"
        ticontinue="0"
        while [ "$ticontinue" != "null" ]
            do curl -so "$dir/tmp" "$transcludedAPI=Template:Location/$code&tinamespace=0&ticontinue=$ticontinue"
            ticontinue=$(cat "$dir/tmp" | jq -r ".continue.ticontinue")
            cat "$dir/tmp" | jq -r ".query.pages[].transcludedin[].title" >> "$dir/$code" 2> /dev/null
        done
        rm "$dir/tmp"
    done | tr "\n" ";")

    curl -s "$expandAPI=$codes" | jq -r ".expandtemplates.wikitext" | tr ";~" "\n;" | grep -vx "" > "$dir/countries"

    for category in "Expeditions" "Coordinates_reached"
        do echo "==${category/_/ }=="

        echo -n > "$dir/$category"
        cmcontinue="0"
        while [ "$cmcontinue" != "null" ]
            do curl -so "$dir/tmp" "$categoryAPI:$category&cmcontinue=$cmcontinue"
            cmcontinue=$(cat "$dir/tmp" | jq -r ".continue.cmcontinue")
            cat "$dir/tmp" | jq -r ".query.categorymembers[].title" >> "$dir/$category"
        done
        rm "$dir/tmp"

        cat "$dir/countries" | while IFS=';' read -r code country
            do grep -cxf "$dir/$code" "$dir/$category" | tr "\n" " "
            echo "$code $country"
        done > "$dir/$category-countries"

        echo '{|class="wikitable sortable center zebra"'
        echo -n '!#!!Country!!Σ'

        for year in $(seq $currentyear -1 2008)
            do echo -n '!!'"${year:2:2}"
        done
        sort -nr "$dir/$category-countries" | grep -v "^0" | nl | while read -r rank total code country
            do echo -en "\n|-\n|$rank||{{flag|$code}} [[:Category:Meetup in $country|$country]]||$total" | sed -e "s/|the /|/"

            for year in $(seq $currentyear -1 2008)
                do cur=$(grep -xf "$dir/$code" "$dir/$category" | grep -c "^$year")
                echo -n "||$cur"
            done
        done
        echo -e "\n|}"
    done

    echo -e "==See also==\n*[[Most active Geohashers]]\n*[[Most active graticules]]\n*[[Maps and statistics]]\n==Source code=="
    echo "The following program generates this page:<pre"">$(cat "$0")</pre"">"
    echo "[[Category:Fun stuff]]"
}

gen | tee "$dir/mostactivecountries.wiki"
Retrieved from "https://geohashing.site/index.php?title=Most_active_countries&oldid=921685"
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