Most active countries

The following table shows countries by their number of reached and total expeditions as of 2023-03.

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	5350	18	176	148	195	120	144	156	234	288	348	577	608	371	573	765	629
2	🇩🇪 Germany	4504	52	274	326	254	258	219	186	248	368	409	286	314	333	283	508	186
3	🇬🇧 United Kingdom	1404	3	23	9	32	29	41	46	187	327	52	98	167	113	105	124	48
4	🇦🇺 Australia	801	10	93	50	26	17	15	24	29	36	29	81	97	40	54	102	98
5	🇫🇮 Finland	633	3	13	25	45	27	26	33	49	63	92	92	35	35	52	23	20
6	🇨🇦 Canada	539	4	6	7	16	5	12	10	6	11	20	29	36	56	108	120	93
7	🇸🇪 Sweden	419	0	4	6	13	8	1	4	5	8	14	26	118	77	60	49	26
8	🇳🇱 Netherlands	403	1	23	19	22	20	18	28	34	45	42	22	52	10	9	16	42
9	🇨🇭 Switzerland	245	7	6	7	18	1	2	3	11	12	14	55	41	32	14	16	6
10	🇫🇷 France	210	2	30	38	24	7	2	10	6	3	15	14	15	11	7	18	8
11	🇳🇿 New Zealand	157	6	3	1	3	3	10	6	8	16	15	5	12	16	28	7	18
12	🇵🇱 Poland	154	1	5	9	8	4	7	8	4	22	12	30	13	6	18	4	3
13	🇪🇸 Spain	141	2	42	49	1	1	5	0	2	4	4	10	8	2	4	5	2
14	🇦🇹 Austria	134	0	6	4	2	1	2	5	8	26	48	15	2	3	5	4	3
15	🇳🇴 Norway	128	8	33	2	2	1	0	0	0	3	4	0	16	10	27	2	20
16	🇮🇱 Israel	124	7	17	25	5	9	25	13	0	0	1	4	6	3	0	8	1
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	27	0	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	3982	47	247	291	237	229	200	166	219	331	353	252	275	293	240	447	155
2	🇺🇸 United States of America	3972	14	143	110	145	95	99	125	177	228	278	436	438	267	427	588	402
3	🇬🇧 United Kingdom	1159	3	18	7	21	24	33	40	164	285	44	82	132	95	84	101	26
4	🇦🇺 Australia	616	10	81	44	24	15	11	20	24	26	22	59	53	35	45	69	78
5	🇫🇮 Finland	594	3	12	23	43	26	26	33	49	62	87	82	31	32	49	20	16
6	🇨🇦 Canada	392	3	6	6	11	4	12	9	5	7	14	20	29	47	81	76	62
7	🇸🇪 Sweden	366	0	2	5	8	7	1	4	5	7	14	24	110	66	49	45	19
8	🇳🇱 Netherlands	321	0	20	17	19	16	16	24	25	34	33	19	42	6	6	13	31
9	🇨🇭 Switzerland	221	7	5	5	16	1	2	3	10	12	13	52	36	26	14	14	5
10	🇫🇷 France	177	1	28	34	22	5	2	7	5	3	13	11	13	8	5	14	6
11	🇵🇱 Poland	134	1	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	117	0	5	3	1	1	2	5	8	20	46	14	0	3	4	3	2
14	🇪🇸 Spain	111	1	33	37	0	1	4	0	2	4	4	7	7	2	3	5	1
15	🇳🇴 Norway	107	7	33	2	2	0	0	0	0	3	4	0	15	8	19	1	13
16	🇮🇱 Israel	98	4	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	19	0	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

• Most active Geohashers
• Most active graticules
• Maps and statistics

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"