Most active countries

The following table shows countries by their number of reached and total expeditions as of 2024-12.

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	5701	162	204	178	149	195	120	144	156	234	288	348	577	608	371	573	765	629
2	🇩🇪 Germany	5288	359	449	278	347	255	259	219	186	248	368	410	286	314	333	283	508	186
3	🇬🇧 United Kingdom	1481	54	25	23	9	33	29	41	46	187	327	52	98	167	113	105	124	48
4	🇦🇺 Australia	977	90	94	94	50	26	17	15	24	29	36	29	81	97	40	54	102	99
5	🇫🇮 Finland	671	22	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	297	27	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	212	53	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	🇮🇪 Ireland	17	7	0	0	0	0	0	0	0	0	0	0	1	2	2	1	4	0
27	🇮🇩 Indonesia	17	0	0	2	0	0	1	0	1	4	1	2	1	1	1	0	3	0
28	🇯🇵 Japan	16	0	0	0	0	0	0	0	0	0	1	0	0	5	0	4	6	0
29	🇧🇷 Brazil	14	1	1	0	0	1	0	3	1	1	1	0	0	1	1	0	0	3
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	4700	314	424	251	312	238	230	200	166	219	331	353	252	275	293	240	447	155
2	🇺🇸 United States of America	4252	124	169	144	110	145	95	99	125	177	228	278	436	438	267	427	588	402
3	🇬🇧 United Kingdom	1225	47	22	18	7	21	24	33	40	164	285	44	82	132	95	84	101	26
4	🇦🇺 Australia	776	83	87	82	44	24	15	11	20	24	26	22	59	53	35	44	69	78
5	🇫🇮 Finland	628	20	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	270	27	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	162	40	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	🇮🇪 Ireland	13	5	0	0	0	0	0	0	0	0	0	0	0	1	2	1	4	0
28	🇮🇩 Indonesia	13	0	0	1	0	0	1	0	1	4	1	1	1	0	1	0	2	0
29	🇧🇷 Brazil	11	1	1	0	0	0	0	2	1	1	1	0	0	0	1	0	0	3
30	🇮🇳 India	10	0	0	0	0	0	0	0	0	0	0	0	2	0	0	8	0	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

• 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 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"