Most active countries

From Geohashing
Revision as of 00:04, 12 May 2023 by FippeBot (talk | contribs) (updating stats)

The following table shows countries by their number of reached and total expeditions as of 2023-05.

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 23 22 21 20 19 18 17 16 15 14 13 12 11 10 09 08
1 🇺🇸 United States of America 5375 43 176 148 195 120 144 156 234 288 348 577 608 371 573 765 629
2 🇩🇪 Germany 4549 95 275 326 254 258 219 186 248 368 410 286 314 333 283 508 186
3 🇬🇧 United Kingdom 1411 10 23 9 32 29 41 46 187 327 52 98 167 113 105 124 48
4 🇦🇺 Australia 821 30 93 50 26 17 15 24 29 36 29 81 97 40 54 102 98
5 🇫🇮 Finland 635 5 13 25 45 27 26 33 49 63 92 92 35 35 52 23 20
6 🇨🇦 Canada 540 5 6 7 16 5 12 10 6 11 20 29 36 56 108 120 93
7 🇸🇪 Sweden 420 1 4 6 13 8 1 4 5 8 14 26 118 77 60 49 26
8 🇳🇱 Netherlands 407 5 23 19 22 20 18 28 34 45 42 22 52 10 9 16 42
9 🇨🇭 Switzerland 253 15 6 7 18 1 2 3 11 12 14 55 41 32 14 16 6
10 🇫🇷 France 231 19 34 38 24 7 2 10 6 3 15 14 15 11 7 18 8
11 🇵🇱 Poland 158 5 5 9 8 4 7 8 4 22 12 30 13 6 18 4 3
12 🇳🇿 New Zealand 157 6 3 1 3 3 10 6 8 16 15 5 12 16 28 7 18
13 🇪🇸 Spain 146 7 42 49 1 1 5 0 2 4 4 10 8 2 4 5 2
14 🇦🇹 Austria 136 2 6 4 2 1 2 5 8 26 48 15 2 3 5 4 3
15 🇮🇱 Israel 133 16 17 25 5 9 25 13 0 0 1 4 6 3 0 8 1
16 🇳🇴 Norway 132 12 33 2 2 1 0 0 0 3 4 0 16 10 27 2 20
17 🇷🇺 Russia 103 0 1 17 4 1 0 3 4 2 6 41 21 2 1 0 0
18 🇮🇹 Italy 55 0 0 2 0 0 1 0 1 7 6 12 9 4 8 4 1
19 🇨🇿 Czechia 53 0 0 0 0 0 1 0 0 13 4 4 8 5 6 7 5
20 🇩🇰 Denmark 43 0 0 2 5 2 0 0 1 5 3 3 4 3 3 5 7
21 🇸🇬 Singapore 42 2 3 1 1 0 1 5 2 0 2 5 4 7 0 2 7
22 🇧🇪 Belgium 41 0 1 0 1 0 2 2 1 2 2 3 9 3 4 5 6
23 🇦🇷 Argentina 29 0 0 0 0 0 1 1 3 17 3 2 2 0 0 0 0
24 🇭🇺 Hungary 28 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 6 3 6 8 4 0 0
26 🇮🇩 Indonesia 17 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 1 0 0 5 0 4 6 0
28 🇨🇳 China 12 0 2 2 0 0 0 0 0 1 0 0 1 1 5 0 0
29 🇧🇷 Brazil 12 0 0 0 1 0 3 1 1 1 0 0 1 1 0 0 3
30 🇮🇳 India 11 0 0 0 0 0 0 0 0 0 0 2 1 0 8 0 0
31 🇮🇪 Ireland 10 0 0 0 0 0 0 0 0 0 0 1 2 2 1 4 0
32 🇸🇮 Slovenia 9 0 0 0 0 0 0 0 1 0 1 0 2 1 1 1 2
33 🇸🇰 Slovakia 8 0 0 0 0 0 0 0 1 4 0 0 0 0 2 0 1
34 🇲🇽 Mexico 8 0 0 1 0 0 0 0 0 0 1 0 0 0 1 4 1
35 🇺🇦 Ukraine 7 0 0 5 1 0 0 0 0 0 0 0 0 0 0 0 1
36 🇬🇷 Greece 7 0 0 0 1 0 0 0 1 1 2 0 2 0 0 0 0
37 🇿🇦 South Africa 6 0 0 0 0 0 2 0 0 0 0 0 1 1 0 2 0
38 🇽🇮 international waters 6 0 0 0 1 1 0 0 0 0 0 1 1 0 0 0 2
39 🇭🇷 Croatia 6 0 0 0 0 0 0 0 0 3 2 0 1 0 0 0 0
40 🇹🇷 Turkey 5 0 0 0 0 0 1 0 0 0 0 0 0 0 1 3 0
41 🇵🇹 Portugal 5 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 2 3 0 0
43 🇲🇾 Malaysia 4 0 0 0 0 0 0 1 0 0 0 0 2 0 1 0 0
44 🇱🇻 Latvia 4 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 2 0 0 1 0 0 0 0
46 🇵🇭 Philippines 3 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 1 0 0 0 1 1
48 🇰🇷 South Korea 3 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0
49 🇪🇪 Estonia 3 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0
50 🇨🇾 Cyprus 3 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0
51 🇨🇷 Costa Rica 3 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0
52 🇨🇱 Chile 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2
53 🇹🇭 Thailand 2 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
54 🇲🇹 Malta 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
55 🇱🇹 Lithuania 2 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0
56 🇯🇪 Jersey 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0
57 🇮🇸 Iceland 2 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
58 🇦🇶 Antarctica 2 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0
59 🇺🇿 Uzbekistan 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
60 🇺🇾 Uruguay 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
61 🇹🇿 Tanzania 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
62 🇹🇳 Tunisia 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
63 🇹🇯 Tajikistan 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
64 🇸🇲 San Marino 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
65 🇸🇯 Svalbard and Jan Mayen 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
66 🇷🇸 Serbia 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
67 🇵🇸 Palestine 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
68 🇵🇷 Puerto Rico 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
69 🇵🇪 Peru 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
70 🇳🇦 Namibia 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
71 🇲🇶 Martinique 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
72 🇲🇦 Morocco 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
73 🇱🇮 Liechtenstein 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
74 🇰🇭 Cambodia 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
75 🇩🇴 Dominican Republic 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
76 🇨🇺 Cuba 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
77 🇦🇪 United Arab Emirates 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0

Coordinates reached

# Country Σ 23 22 21 20 19 18 17 16 15 14 13 12 11 10 09 08
1 🇩🇪 Germany 4025 89 248 291 237 229 200 166 219 331 353 252 275 293 240 447 155
2 🇺🇸 United States of America 3990 32 143 110 145 95 99 125 177 228 278 436 438 267 427 588 402
3 🇬🇧 United Kingdom 1166 10 18 7 21 24 33 40 164 285 44 82 132 95 84 101 26
4 🇦🇺 Australia 633 27 81 44 24 15 11 20 24 26 22 59 53 35 45 69 78
5 🇫🇮 Finland 596 5 12 23 43 26 26 33 49 62 87 82 31 32 49 20 16
6 🇨🇦 Canada 393 4 6 6 11 4 12 9 5 7 14 20 29 47 81 76 62
7 🇸🇪 Sweden 367 1 2 5 8 7 1 4 5 7 14 24 110 66 49 45 19
8 🇳🇱 Netherlands 326 5 20 17 19 16 16 24 25 34 33 19 42 6 6 13 31
9 🇨🇭 Switzerland 229 15 5 5 16 1 2 3 10 12 13 52 36 26 14 14 5
10 🇫🇷 France 198 18 32 34 22 5 2 7 5 3 13 11 13 8 5 14 6
11 🇵🇱 Poland 136 3 5 8 8 4 6 7 4 20 11 24 11 6 14 3 2
12 🇳🇿 New Zealand 133 3 3 1 3 3 9 5 8 16 14 3 10 12 24 7 12
13 🇦🇹 Austria 118 1 5 3 1 1 2 5 8 20 46 14 0 3 4 3 2
14 🇪🇸 Spain 115 5 33 37 0 1 4 0 2 4 4 7 7 2 3 5 1
15 🇳🇴 Norway 111 11 33 2 2 0 0 0 0 3 4 0 15 8 19 1 13
16 🇮🇱 Israel 104 10 14 19 3 8 22 11 0 0 1 4 5 2 0 5 0
17 🇷🇺 Russia 83 0 1 12 4 1 0 1 3 2 5 33 19 1 1 0 0
18 🇮🇹 Italy 46 0 0 1 0 0 1 0 1 7 6 9 7 4 5 4 1
19 🇨🇿 Czechia 45 0 0 0 0 0 1 0 0 12 2 2 7 5 5 7 4
20 🇩🇰 Denmark 33 0 0 2 3 2 0 0 1 4 3 3 3 2 2 4 4
21 🇧🇪 Belgium 32 0 0 0 1 0 2 2 1 2 2 2 7 3 3 4 3
22 🇸🇬 Singapore 30 2 1 1 1 0 1 4 2 0 2 4 3 5 0 1 3
23 🇧🇬 Bulgaria 25 0 0 0 0 0 0 0 0 0 5 3 6 8 3 0 0
24 🇦🇷 Argentina 24 0 0 0 0 0 1 1 3 14 3 1 1 0 0 0 0
25 🇭🇺 Hungary 20 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 1 0 0 4 0 3 6 0
27 🇮🇩 Indonesia 13 0 1 0 0 1 0 1 4 1 1 1 0 1 0 2 0
28 🇮🇳 India 10 0 0 0 0 0 0 0 0 0 0 2 0 0 8 0 0
29 🇧🇷 Brazil 9 0 0 0 0 0 2 1 1 1 0 0 0 1 0 0 3
30 🇮🇪 Ireland 8 0 0 0 0 0 0 0 0 0 0 0 1 2 1 4 0
31 🇨🇳 China 8 0 2 1 0 0 0 0 0 0 0 0 1 0 4 0 0
32 🇸🇰 Slovakia 7 0 0 0 0 0 0 0 1 4 0 0 0 0 1 0 1
33 🇸🇮 Slovenia 7 0 0 0 0 0 0 0 0 0 1 0 2 1 1 1 1
34 🇺🇦 Ukraine 6 0 0 4 1 0 0 0 0 0 0 0 0 0 0 0 1
35 🇲🇽 Mexico 6 0 0 1 0 0 0 0 0 0 0 0 0 0 1 3 1
36 🇿🇦 South Africa 5 0 0 0 0 0 1 0 0 0 0 0 1 1 0 2 0
37 🇬🇷 Greece 5 0 0 0 1 0 0 0 0 1 1 0 2 0 0 0 0
38 🇵🇹 Portugal 4 0 0 0 0 0 0 1 0 0 0 1 0 1 0 1 0
39 🇱🇻 Latvia 4 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0
40 🇭🇷 Croatia 4 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0
41 🇳🇵 Nepal 3 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0
42 🇲🇾 Malaysia 3 0 0 0 0 0 0 1 0 0 0 0 2 0 0 0 0
43 🇽🇮 international waters 2 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0
44 🇷🇴 Romania 2 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0
45 🇵🇭 Philippines 2 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0
46 🇲🇹 Malta 2 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
47 🇱🇺 Luxembourg 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
48 🇰🇷 South Korea 2 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
49 🇯🇪 Jersey 2 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0
50 🇮🇸 Iceland 2 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
51 🇪🇪 Estonia 2 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0
52 🇨🇾 Cyprus 2 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0
53 🇨🇱 Chile 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
54 🇦🇶 Antarctica 2 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0
55 🇺🇿 Uzbekistan 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
56 🇹🇷 Turkey 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
57 🇹🇳 Tunisia 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
58 🇹🇯 Tajikistan 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
59 🇹🇭 Thailand 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
60 🇸🇲 San Marino 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
61 🇸🇯 Svalbard and Jan Mayen 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
62 🇷🇸 Serbia 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
63 🇵🇸 Palestine 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
64 🇱🇹 Lithuania 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
65 🇱🇮 Liechtenstein 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
66 🇨🇷 Costa Rica 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
67 🇦🇪 United Arab Emirates 1 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 -n > "$dir/$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"
        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"