ralf_de has logged 8312 different geocaches,
plus 1688 lab caches, a total of 10000 unique finds
Data from 2023-01-12
Cumulative finds by month
Finds by month per year
2023
2022
2021
2020
2019
2018
2017
All
| 2023 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 30 |
|
||||||||||||||||||||||
| Month: | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |||||||||||
| Days caching: | 12 | ||||||||||||||||||||||
| 2022 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 37 |
120 |
349 |
115 |
202 |
79 |
63 |
149 |
187 |
81 |
205 |
65 |
|
|||||||||||
| Month: | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |||||||||||
| Days caching: | 31 | 28 | 31 | 30 | 31 | 30 | 31 | 31 | 30 | 31 | 30 | 31 | |||||||||||
| 2021 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 54 |
120 |
51 |
86 |
156 |
112 |
104 |
158 |
76 |
105 |
74 |
42 |
|
|||||||||||
| Month: | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |||||||||||
| Days caching: | 31 | 28 | 31 | 30 | 31 | 30 | 31 | 31 | 30 | 31 | 30 | 31 | |||||||||||
| 2020 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 94 |
89 |
133 |
124 |
129 |
134 |
459 |
102 |
172 |
236 |
213 |
133 |
|
|||||||||||
| Month: | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |||||||||||
| Days caching: | 31 | 29 | 31 | 30 | 31 | 30 | 31 | 31 | 30 | 31 | 30 | 31 | |||||||||||
| 2019 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 75 |
76 |
53 |
74 |
169 |
165 |
188 |
55 |
557 |
51 |
60 |
102 |
|
|||||||||||
| Month: | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |||||||||||
| Days caching: | 31 | 28 | 31 | 30 | 31 | 30 | 31 | 31 | 30 | 31 | 30 | 31 | |||||||||||
| 2018 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 75 |
125 |
167 |
206 |
175 |
137 |
84 |
92 |
103 |
130 |
138 |
103 |
|
|||||||||||
| Month: | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |||||||||||
| Days caching: | 24 | 28 | 31 | 30 | 31 | 30 | 31 | 31 | 30 | 31 | 30 | 31 | |||||||||||
| 2017 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
2 |
4 |
131 |
44 |
56 |
11 |
65 |
|
|||||||||||||||
| Month: | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |||||||||||
| Days caching: | 1 | 2 | 2 | 26 | 15 | 12 | 4 | 13 | |||||||||||||||
Some numbers
| Overall total finds: | 8312 finds in 1906 caching days over 2055 total days (92.7%) |
| Overall averages: | 4.36 finds per caching day, 4.04/day, 28.27/week, 122.24/month |
| Last 365 days: | 1670 finds in 365 caching days over 365 total days (100.0%) |
| Last 365 days averages: | 4.58 finds per caching day, 4.58/day, 32.12/week, 139.17/month |
| Most consecutive days with finds: | 1830, from 2018-01-09 to 2023-01-12 (Current streak) |
| Most consecutive days without a find: | 36, from 2017-06-24 to 2017-07-29 |
| Current consecutive days with a find: | 1830, from 2018-01-09 to 2023-01-12 |
| Most finds in a day: | 480 on 2019-09-21; 98 on 2022-03-19; 72 on 2022-03-22 |
| Best weekend caching: | 486 finds, on Saturday 2019-09-21 & Sunday 2019-09-22 |
| Best week caching: | 533 finds, from Monday 2019-09-16 to Sunday 2019-09-22 |
| Most finds in a calendar month: | 557, in September 2019 |
| Most cache types in a day: | 11 (            ) on 2019-05-18 |
| Most countries in a day: | 9 (          ) on 2018-12-30 1 |
| Most states in a day: | 17 (Oberland, Jihomoravský kraj, St. Gallen, Wien, Bratislavský kraj, Győr-Moson-Sopron, Burgenland, Niederösterreich, Steiermark, Kärnten, Gorenjska, Friuli-Venezia Giulia, Salzburg, Bayern, Tirol, Vorarlberg, Unterland) on 2018-12-30 1 |
| Most counties in a day: | 24 (Plombières, Städteregion Aachen, Mülheim an der Ruhr, Ennepe-Ruhr-Kreis, Oberhausen, Wuppertal, Vaals, Essen, Düren (Kr), Bottrop, Heinsberg (Kr), Recklinghausen (Kr), Mönchengladbach, Gelsenkirchen, Rhein-Kreis Neuss, Herne, Viersen (Kr), Bochum, Krefeld, Unna (Kr), Wesel (Kr), Dortmund, Duisburg, Hagen) on 2020-01-01 1 |
| Fastest 100 finds: | 1 day on 2019-09-21 |
| Last 100 finds: | 46 days |
| Fastest 1000 finds: | 115 days from 2019-05-30 to 2019-09-21 |
| Last 1000 finds: | 251 days |
| Total cache-to-cache distance: | 1,299,516 km, 32.43x earth circumnavigation, 3.381x distance to the moon 1 |
| Maximum distance in a day: | 7,656 km, 20 caches, on 2018-02-10 1 |
| Nearest cache found: | Einstein beobachtet die ganz Geheimen, GC5106Y 1 |
| Furthest cache found: | 15,819.94 km, Getting East at Byron, GC5NQ13  1 |
| Most Northerly cache found: | N 71° 11.020, Nordkapp and Knivskjelodden GC30RFV  1 |
| Most Southerly cache found: | S 64° 53.432, Antarctic Peninsula GC13ZJ3  1 |
| Most Westerly cache found: | W 125° 50.505, Radar Love GCHP3M  1 |
| Most Easterly cache found: | E 153° 38.142, Getting East at Byron GC5NQ13 1 |
| Highest elevated cache found: | 6254 m, Chimborazo GC1F1GF  1 |
| Lowest elevated cache found: | -422 m, Halite ooids at the shore of the Dead Sea GC5DPA0  1 |
| Cache centroid: | N 49° 36.644 E 011° 00.384 (Centroid is 365 km from home) 1 |
| Youngest cache found: | 2023-01-12, Invalidenpark #8 - ralf_de's 10.000ster GCA2N8G |
| Oldest cache found: | 2000-06-03, Europe's First GC43  , found on 2018-10-24 |
| Caches found which are now archived: | 1608, 19.35% (excluding events) |
| Most FTFs in a day: | 13 on 2019-07-13; 6 on 2017-10-28; 6 on 2019-06-29 |
| Most FTFs in a calendar month: | 17, in July 2019 |
| Most consecutive months with an FTF: | 12, from October 2018 to September 2019 |
| Log Length, words: | Total words: 649,794, Average: 78, (Total characters: 4,108,939) Longest: GC7TWT5 687, Shortest: GC4KHXV 1 |
| Log similarity: | 84% (Lower score equals more variance) |
1 Locationless caches are excluded
Finds by type
| Type | Amount | Percent | |
|---|---|---|---|
| Traditional | 5198 | 62.54% | |
| Unknown | 1572 | 18.91% | |
| Earthcache | 330 | 3.97% | |
| Wherigo | 280 | 3.37% | |
| Virtual | 249 | 3.00% | |
| Multi | 229 | 2.76% | |
| Event | 199 | 2.39% | |
| Letterbox | 167 | 2.01% | |
| L&F Event | 37 | 0.45% | |
| Webcam | 32 | 0.38% | |
| CITO | 12 | 0.14% | |
| Mega-Event | 4 | 0.05% | |
| Locationless | 2 | 0.02% | |
| Giga-Event | 1 | 0.01% |
Finds by type
Finds by size
| Type | Amount | Percent | |
|---|---|---|---|
| Micro | 4875 | 58.65% | |
| Small | 1812 | 21.80% | |
| Other | 764 | 9.19% | |
| Regular | 420 | 5.05% | |
| Virtual | 262 | 3.15% | |
| Not chosen | 102 | 1.23% | |
| Large | 77 | 0.93% |
Finds by size
Finds by difficulty rating
| Difficulty | Amount | Percent | |
|---|---|---|---|
| 1.0 | 1258 | 15.13% | |
| 1.5 | 3316 | 39.89% | |
| 2.0 | 1670 | 20.09% | |
| 2.5 | 718 | 8.64% | |
| 3.0 | 354 | 4.26% | |
| 3.5 | 165 | 1.99% | |
| 4.0 | 190 | 2.29% | |
| 4.5 | 285 | 3.43% | |
| 5.0 | 356 | 4.28% |
Average difficulty: 2.02
Finds by difficulty rating
Finds by terrain rating
| Terrain | Amount | Percent | |
|---|---|---|---|
| 1.0 | 1216 | 14.63% | |
| 1.5 | 4074 | 49.01% | |
| 2.0 | 1469 | 17.67% | |
| 2.5 | 631 | 7.59% | |
| 3.0 | 335 | 4.03% | |
| 3.5 | 184 | 2.21% | |
| 4.0 | 123 | 1.48% | |
| 4.5 | 122 | 1.47% | |
| 5.0 | 158 | 1.90% |
Average terrain: 1.84
Finds by terrain rating
Average difficulty per year
| Year | Amount | Avg D | |
|---|---|---|---|
| 2017 | 314 | 1.71656 | |
| 2018 | 1535 | 1.73485 | |
| 2019 | 1625 | 1.71815 | |
| 2020 | 2018 | 2.37389 | |
| 2021 | 1138 | 2.13225 | |
| 2022 | 1652 | 2.14044 | |
| 2023 | 30 | 2.73333 |
Average terrain per year
| Year | Amount | Avg T | |
|---|---|---|---|
| 2017 | 314 | 1.72293 | |
| 2018 | 1535 | 1.71368 | |
| 2019 | 1625 | 1.67754 | |
| 2020 | 2018 | 1.96085 | |
| 2021 | 1138 | 1.71353 | |
| 2022 | 1652 | 2.10169 | |
| 2023 | 30 | 1.53333 |
Finds by month
| Month | Amount | Percent | |
|---|---|---|---|
| January | 365 | 4.39% | |
| February | 530 | 6.38% | |
| March | 753 | 9.06% | |
| April | 605 | 7.28% | |
| May | 832 | 10.01% | |
| June | 629 | 7.57% | |
| July | 902 | 10.85% | |
| August | 687 | 8.27% | |
| September | 1139 | 13.70% | |
| October | 659 | 7.93% | |
| November | 701 | 8.43% | |
| December | 510 | 6.14% |
Finds by month
Finds by weekday
| Weekday | Amount | Percent | |
|---|---|---|---|
| Monday | 839 | 10.09% | |
| Tuesday | 943 | 11.35% | |
| Wednesday | 953 | 11.47% | |
| Thursday | 971 | 11.68% | |
| Friday | 1014 | 12.20% | |
| Saturday | 2261 | 27.20% | |
| Sunday | 1331 | 16.01% |
Finds by weekday
3592 Weekend finds (43.2%), 4720 Weekday finds (56.8%)
Finds by year cache placed
| Year | Amount | Percent | |
|---|---|---|---|
| 2000 | 1 | 0.01% | |
| 2001 | 16 | 0.19% | |
| 2002 | 46 | 0.55% | |
| 2003 | 49 | 0.59% | |
| 2004 | 40 | 0.48% | |
| 2005 | 49 | 0.59% | |
| 2006 | 61 | 0.73% | |
| 2007 | 91 | 1.09% | |
| 2008 | 133 | 1.60% | |
| 2009 | 173 | 2.08% | |
| 2010 | 251 | 3.02% | |
| 2011 | 347 | 4.17% | |
| 2012 | 380 | 4.57% | |
| 2013 | 464 | 5.58% | |
| 2014 | 493 | 5.93% | |
| 2015 | 652 | 7.84% | |
| 2016 | 631 | 7.59% | |
| 2017 | 735 | 8.84% | |
| 2018 | 1215 | 14.62% | |
| 2019 | 906 | 10.90% | |
| 2020 | 723 | 8.70% | |
| 2021 | 481 | 5.79% | |
| 2022 | 363 | 4.37% | |
| 2023 | 12 | 0.14% |
Finds by year cache placed
Finds to 13th Jan for each year
| Year | Amount | Percent | |
|---|---|---|---|
| 2018 | 19 | 9.45% | |
| 2019 | 57 | 28.36% | |
| 2020 | 62 | 30.85% | |
| 2021 | 20 | 9.95% | |
| 2022 | 13 | 6.47% | |
| 2023 | 30 | 14.93% |
Finds to 13th Jan for each year
Difficulty / Terrain chart
| Terrain | Type: All | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 581 | 410 | 110 | 42 | 32 | 26 | 13 | 19 | 25 | 1258 | |
| 1.5 | 304 | 2233 | 494 | 139 | 43 | 55 | 17 | 12 | 19 | 3316 | |
| 2.0 | 174 | 747 | 471 | 126 | 90 | 22 | 11 | 12 | 17 | 1670 | |
| 2.5 | 63 | 287 | 121 | 154 | 34 | 15 | 20 | 8 | 16 | 718 | |
| 3.0 | 30 | 130 | 66 | 44 | 30 | 17 | 8 | 12 | 17 | 354 | |
| 3.5 | 21 | 45 | 33 | 18 | 10 | 9 | 11 | 9 | 9 | 165 | |
| 4.0 | 14 | 50 | 25 | 20 | 30 | 8 | 14 | 13 | 16 | 190 | |
| 4.5 | 15 | 88 | 82 | 26 | 16 | 13 | 19 | 15 | 11 | 285 | |
| 5.0 | 14 | 84 | 67 | 62 | 50 | 19 | 10 | 22 | 28 | 356 | |
| 1216 | 4074 | 1469 | 631 | 335 | 184 | 123 | 122 | 158 | 8312 | ||
81 Diff/Terr combinations found, out of 81
1856 (22.3%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
| Terrain | Type:  |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 280 | 321 | 66 | 16 | 4 | 10 | 2 | 2 | 5 | 706 | |
| 1.5 | 245 | 1600 | 396 | 109 | 30 | 13 | 8 | 9 | 7 | 2417 | |
| 2.0 | 123 | 464 | 355 | 91 | 49 | 11 | 6 | 3 | 4 | 1106 | |
| 2.5 | 41 | 145 | 70 | 105 | 21 | 8 | 4 | 1 | 2 | 397 | |
| 3.0 | 17 | 64 | 36 | 19 | 14 | 9 | 4 | 2 | 3 | 168 | |
| 3.5 | 9 | 17 | 14 | 10 | 2 | 4 | 2 | 1 | 1 | 60 | |
| 4.0 | 6 | 30 | 11 | 3 | 4 | 2 | 4 | 1 | 12 | 73 | |
| 4.5 | 6 | 42 | 39 | 11 | 6 | 1 | 2 | 2 | 2 | 111 | |
| 5.0 | 4 | 56 | 25 | 47 | 19 | 4 | 1 | 1 | 3 | 160 | |
| 731 | 2739 | 1012 | 411 | 149 | 62 | 33 | 22 | 39 | 5198 | ||
81 Diff/Terr combinations found, out of 81
771 (14.8%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
| Terrain | Type:  |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 5 | 4 | 4 | 3 | 1 | 1 | 18 | ||||
| 1.5 | 4 | 45 | 20 | 4 | 1 | 74 | |||||
| 2.0 | 7 | 26 | 28 | 4 | 6 | 3 | 1 | 75 | |||
| 2.5 | 3 | 9 | 3 | 4 | 2 | 21 | |||||
| 3.0 | 1 | 3 | 1 | 1 | 1 | 1 | 8 | ||||
| 3.5 | 1 | 1 | 1 | 1 | 1 | 5 | |||||
| 4.0 | 1 | 2 | 1 | 1 | 1 | 6 | |||||
| 4.5 | 2 | 4 | 2 | 1 | 1 | 10 | |||||
| 5.0 | 1 | 1 | 2 | 1 | 2 | 1 | 1 | 1 | 2 | 12 | |
| 24 | 95 | 62 | 19 | 13 | 7 | 4 | 1 | 4 | 229 | ||
53 Diff/Terr combinations found, out of 81
56 (24.5%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
| Terrain | Type:  |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 3 | 9 | 5 | 2 | 6 | 2 | 1 | 9 | 9 | 46 | |
| 1.5 | 7 | 485 | 21 | 7 | 2 | 2 | 2 | 3 | 10 | 539 | |
| 2.0 | 10 | 215 | 36 | 9 | 5 | 3 | 3 | 5 | 10 | 296 | |
| 2.5 | 8 | 89 | 28 | 11 | 5 | 2 | 14 | 4 | 13 | 174 | |
| 3.0 | 5 | 40 | 22 | 12 | 6 | 5 | 2 | 9 | 14 | 115 | |
| 3.5 | 6 | 13 | 11 | 3 | 4 | 3 | 7 | 6 | 7 | 60 | |
| 4.0 | 4 | 9 | 5 | 9 | 24 | 5 | 7 | 11 | 2 | 76 | |
| 4.5 | 4 | 26 | 23 | 9 | 7 | 10 | 11 | 13 | 8 | 111 | |
| 5.0 | 7 | 16 | 38 | 12 | 26 | 12 | 8 | 17 | 19 | 155 | |
| 54 | 902 | 189 | 74 | 85 | 44 | 55 | 77 | 92 | 1572 | ||
81 Diff/Terr combinations found, out of 81
627 (39.9%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
| Terrain | Type:  |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 2 | 4 | 1 | 1 | 2 | 10 | |||||
| 1.5 | 1 | 13 | 22 | 2 | 4 | 30 | 1 | 73 | |||
| 2.0 | 3 | 8 | 5 | 4 | 3 | 23 | |||||
| 2.5 | 3 | 7 | 4 | 1 | 1 | 1 | 17 | ||||
| 3.0 | 1 | 6 | 1 | 4 | 1 | 13 | |||||
| 3.5 | 1 | 1 | 1 | 3 | |||||||
| 4.0 | 2 | 1 | 1 | 1 | 5 | ||||||
| 4.5 | 6 | 4 | 1 | 1 | 1 | 3 | 16 | ||||
| 5.0 | 3 | 1 | 1 | 2 | 7 | ||||||
| 10 | 50 | 37 | 8 | 16 | 36 | 6 | 3 | 1 | 167 | ||
45 Diff/Terr combinations found, out of 81
88 (52.7%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
| Terrain | Type:  |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 2 | 3 | 3 | 3 | 1 | 2 | 3 | 2 | 19 | ||
| 1.5 | 4 | 11 | 8 | 4 | 1 | 3 | 3 | 34 | |||
| 2.0 | 3 | 9 | 15 | 6 | 2 | 3 | 1 | 1 | 1 | 41 | |
| 2.5 | 3 | 13 | 8 | 24 | 2 | 1 | 1 | 2 | 54 | ||
| 3.0 | 2 | 13 | 5 | 5 | 1 | 1 | 1 | 28 | |||
| 3.5 | 4 | 7 | 5 | 3 | 1 | 1 | 1 | 22 | |||
| 4.0 | 3 | 7 | 6 | 7 | 1 | 1 | 2 | 27 | |||
| 4.5 | 3 | 10 | 14 | 5 | 1 | 1 | 2 | 1 | 37 | ||
| 5.0 | 2 | 8 | 2 | 2 | 2 | 1 | 1 | 18 | |||
| 26 | 81 | 66 | 59 | 12 | 13 | 13 | 8 | 2 | 280 | ||
68 Diff/Terr combinations found, out of 81
161 (57.5%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
| Terrain | Type:  |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 20 | 13 | 6 | 4 | 4 | 1 | 1 | 49 | |||
| 1.5 | 19 | 47 | 20 | 10 | 5 | 6 | 2 | 2 | 111 | ||
| 2.0 | 6 | 17 | 26 | 9 | 24 | 2 | 1 | 2 | 1 | 88 | |
| 2.5 | 4 | 19 | 8 | 9 | 3 | 3 | 1 | 1 | 48 | ||
| 3.0 | 2 | 3 | 2 | 6 | 3 | 1 | 17 | ||||
| 3.5 | 5 | 1 | 1 | 1 | 1 | 1 | 1 | 11 | |||
| 4.0 | 1 | 1 | 1 | 3 | |||||||
| 4.5 | 0 | ||||||||||
| 5.0 | 3 | 3 | |||||||||
| 51 | 104 | 64 | 39 | 41 | 13 | 6 | 4 | 8 | 330 | ||
49 Diff/Terr combinations found, out of 81
93 (28.2%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
| Terrain | Type:  |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 101 | 9 | 12 | 2 | 4 | 1 | 1 | 130 | |||
| 1.5 | 21 | 32 | 7 | 3 | 1 | 1 | 65 | ||||
| 2.0 | 19 | 7 | 6 | 3 | 1 | 1 | 37 | ||||
| 2.5 | 1 | 5 | 1 | 7 | |||||||
| 3.0 | 2 | 1 | 1 | 1 | 5 | ||||||
| 3.5 | 2 | 1 | 1 | 4 | |||||||
| 4.0 | 0 | ||||||||||
| 4.5 | 0 | ||||||||||
| 5.0 | 1 | 1 | |||||||||
| 146 | 55 | 26 | 9 | 7 | 2 | 1 | 2 | 1 | 249 | ||
30 Diff/Terr combinations found, out of 81
20 (8.0%) finds were rated with Diff or Terr of 3 or greater
Find geocaches for your missing D/T combinations in the DT Matrix tool
Way to 81
| # | Date | Interval | GCCode | Cache name | Type | D/T |
|---|---|---|---|---|---|---|
| 1 | 2017-05-29 | GC4FNZ0 | "Wo sind die Dampfer?" | |
2.5/1.5 | |
| 2 | 2017-06-11 | 13 days | GC6Q7FR | Wuhle | |
1.0/1.0 |
| 3 | 2017-06-23 | 12 days | GC73QCZ | Welt-Theater-Frankenberg/Sa. | |
1.5/1.5 |
| 4 | 2017-08-01 | 39 days | GC77NCY | opex 2 | |
2.0/1.5 |
| 5 | 2017-08-05 | 4 days | GC51QBK | All fenced in | |
1.0/1.5 |
| 6 | 2017-08-05 | 0 days | GC40WH0 | The Stones of Lincoln Cathedral | |
1.5/1.0 |
| 7 | 2017-08-05 | 0 days | GC58F4P | Mr Johnson and the Devil | |
1.5/2.0 |
| 8 | 2017-08-06 | 1 day | GC56BRF | Stand Wood Walk 3 | |
2.0/2.5 |
| 9 | 2017-08-06 | 0 days | GC56BRW | Stand Wood Walk 5 | |
2.0/3.0 |
| 10 | 2017-08-06 | 0 days | GC23VTJ | York City Walls Trail #6 | |
1.0/2.0 |
| 11 | 2017-08-09 | 3 days | GCXWBN | BRUNTON TURRET | |
2.0/1.0 |
| 12 | 2017-08-09 | 0 days | GC1EBT2 | LORD'S ISLAND - JACOBITE RISING (CUMBRIA) | |
2.0/2.0 |
| 13 | 2017-08-10 | 1 day | GC12AQG | Three Legs: S3 (Coast) | |
1.5/2.5 |
| 14 | 2017-08-13 | 3 days | GC62MEB | Pink Floyd | |
3.0/1.0 |
| 15 | 2017-08-15 | 2 days | GC2DMYJ | South Stacked | |
3.0/1.5 |
| 16 | 2017-08-16 | 1 day | GC3092Q | Coastal Cove | |
3.0/3.0 |
| 17 | 2017-08-18 | 2 days | GC5Q6DV | Bancroft Gardens - Barge Lock | |
3.0/2.0 |
| 18 | 2017-08-21 | 3 days | GC5VG0K | Lands End | |
2.0/3.5 |
| 19 | 2017-08-24 | 3 days | GC4WFE4 | 5MR Vista | |
2.5/2.5 |
| 20 | 2017-08-27 | 3 days | GC6J4Z1 | Invasion der PETlinge – Brückenzerstörung | |
3.5/1.5 |
| 21 | 2017-09-22 | 26 days | GCTCNG | THEOPHILUS | |
2.5/2.0 |
| 22 | 2017-09-23 | 1 day | GC2JR33 | Das Osternest | |
1.0/3.5 |
| 23 | 2017-10-02 | 9 days | GC78K5T | Tempelhofer Feld #4 | |
2.5/3.0 |
| 24 | 2017-10-25 | 23 days | GC674B9 | Asteria Beach - Παραλία Αστέρια | |
2.0/4.0 |
| 25 | 2017-10-26 | 1 day | GC7AZZE | Varvarousa - Βαρβαρούσα | |
3.0/3.5 |
| 26 | 2017-10-27 | 1 day | GC15EEB | Charasonas | |
3.5/3.5 |
| 27 | 2017-11-02 | 6 days | GC2RC5D | Kapari Beach | |
2.5/3.5 |
| 28 | 2017-12-27 | 55 days | GC606QJ | Tørre Ovn | |
1.5/3.0 |
| 29 | 2017-12-28 | 1 day | GC74VNV | Krølle Bølle @Hammershus | |
3.0/2.5 |
| 30 | 2017-12-29 | 1 day | GC12794 | Fu Shan Hai | |
5.0/5.0 |
| 31 | 2018-01-10 | 12 days | GC262FG | Little Adam's peak | |
1.5/3.5 |
| 32 | 2018-01-11 | 1 day | GCGRR6 | On Sigiriya rock | |
1.5/4.0 |
| 33 | 2018-01-13 | 2 days | GC6474P | Die Kaltzeiten und ihre Spuren: Podsol | |
1.0/3.0 |
| 34 | 2018-01-15 | 2 days | GC33FNX | Neu-Spreeland | |
3.5/1.0 |
| 35 | 2018-01-16 | 1 day | GC7GN17 | Neumond Sternegucken Nr. 1 - Dörferblick |  |
1.0/2.5 |
| 36 | 2018-01-25 | 9 days | GC13Y2Y | Lego - einer ist zuviel | |
2.5/1.0 |
| 37 | 2018-02-03 | 9 days | GC49CFT | Bairro Alto | |
4.0/1.5 |
| 38 | 2018-02-16 | 13 days | GC7J2GG | Ameisenpark | |
3.5/2.0 |
| 39 | 2018-02-20 | 4 days | GC66QKQ | Nur Nullen und Einsen | |
4.0/1.0 |
| 40 | 2018-02-21 | 1 day | GC39V8D | Wer bin ich? | |
4.5/1.5 |
| 41 | 2018-02-24 | 3 days | GC55WWJ | Challenge Reiselust | |
1.0/4.5 |
| 42 | 2018-02-24 | 0 days | GC5KHQ7 | Ö - Das Mystery | |
5.0/1.5 |
| 43 | 2018-02-24 | 0 days | GC63XZW | ðŸ—️ HomeZone ðŸ—️ | |
4.0/2.0 |
| 44 | 2018-03-10 | 14 days | GC76RMR | Das verlorene Sonntagsmenü | |
4.5/2.0 |
| 45 | 2018-03-19 | 9 days | GC1RH10 | Aldi Shiraz | |
5.0/1.0 |
| 46 | 2018-03-19 | 0 days | GC1Z09T | Mistmade | |
3.5/3.0 |
| 47 | 2018-03-30 | 11 days | GC1XFNE | Dark side of the moon | |
3.5/4.0 |
| 48 | 2018-04-01 | 2 days | GC2CZ3K | The old man and the Sea | |
3.0/4.0 |
| 49 | 2018-04-18 | 17 days | GC360D1 | The 📯 Philatelist | |
4.5/1.0 |
| 50 | 2018-05-01 | 13 days | GC679TH | Valle de la Luna (San Pedro de Atacama) | |
3.5/4.5 |
| 51 | 2018-05-05 | 4 days | GC5DPA0 | Halite ooids at the shore of the Dead Sea | |
1.0/4.0 |
| 52 | 2018-05-11 | 6 days | GC5J2TX | Thiessow`s kleiner Königsstuhl | |
5.0/3.0 |
| 53 | 2018-05-12 | 1 day | GC5JGJW | Grundschule Mönchgut | |
3.0/4.5 |
| 54 | 2018-05-14 | 2 days | GC20010 | Lake Baikal | |
2.0/4.5 |
| 55 | 2018-05-25 | 11 days | GC7G1TF | St Lucia coastline being changed by Erosion | |
1.5/5.0 |
| 56 | 2018-05-25 | 0 days | GC484XP | Tobago Cays "sail fast - live slow" | |
4.0/5.0 |
| 57 | 2018-05-30 | 5 days | GC195R6 | Mount Sinai | |
2.5/4.5 |
| 58 | 2018-06-08 | 9 days | GC1F1GF | Chimborazo | |
2.0/5.0 |
| 59 | 2018-07-13 | 35 days | GC5FQ9T | The white tree | |
2.5/4.0 |
| 60 | 2018-07-27 | 14 days | GC6VADK | Chobe & Zambezi: River secrets, Botswana | |
2.5/5.0 |
| 61 | 2018-08-18 | 22 days | GC6JXPW | Sundays River : Source to Sea | |
3.5/2.5 |
| 62 | 2018-08-20 | 2 days | GC368RJ | 200 Tage Challenge | |
4.0/2.5 |
| 63 | 2018-08-28 | 8 days | GC4DQG8 | redscorp | |
5.0/2.0 |
| 64 | 2018-09-22 | 25 days | GCHA95 | Selenes Geheimnis | |
4.0/3.0 |
| 65 | 2018-10-22 | 30 days | GC5C4EE | Super Chef Challenge Cache. | |
4.5/5.0 |
| 66 | 2018-10-23 | 1 day | GC7DQEX | 4 in 4 International Challenge | |
4.0/3.5 |
| 67 | 2018-10-23 | 0 days | GC7CVZ2 | HM 02 - 70 Souvenir Challenge | |
4.0/4.5 |
| 68 | 2018-10-23 | 0 days | GC3B7Z8 | Bring Back The Cache Challenge | |
4.5/2.5 |
| 69 | 2018-10-28 | 5 days | GC4R8WC | The Jasmer Challenge Ireland - Gold Edition | |
4.5/4.0 |
| 70 | 2018-11-01 | 4 days | GC7YVGZ | 100 in 10 Earth Cache Challenge | |
5.0/3.5 |
| 71 | 2018-11-02 | 1 day | GC2RKE9 | Ireland Northwest Challenge | |
4.5/3.5 |
| 72 | 2018-11-15 | 13 days | GC54RM4 | 5 OUT OF TOP 10 EARTHCACHES IN IRELAND CHALLENGE | |
5.0/4.0 |
| 73 | 2018-11-18 | 3 days | GC5QZ8F | The Jasmer Challenge Ireland - Ruby Edition | |
4.5/4.5 |
| 74 | 2018-11-19 | 1 day | GC7CVZW | HM 08 - Favourite Points Challenge Gold | |
4.0/4.0 |
| 75 | 2018-12-09 | 20 days | GC6TDNY | The Jasmer Challenge Ireland - Sapphire Edition | |
5.0/4.5 |
| 76 | 2019-01-08 | 30 days | GC3MKMW | Date Challenge - Gold Standard | |
4.5/3.0 |
| 77 | 2019-08-31 | 235 days | GC7XRWT | Klettern im Spreewald 6 | |
3.0/5.0 |
| 78 | 2019-08-31 | 0 days | GC7WTBW | Angeln im Spreewald #3 | |
5.0/2.5 |
| 79 | 2019-08-31 | 0 days | GC85H8M | T 5 im Spreewald V 2.0 | |
1.0/5.0 |
| 80 | 2019-09-01 | 1 day | GC6HMPM | Erfindungen des Alltags IV | |
1.5/4.5 |
| 81 | 2019-11-08 | 68 days | GC85B44 | Challenge alle 5 Regionen Irlands | |
3.5/5.0 |
| … | … | … | … | … | … | … |
| x2 | 2020-10-19 | 346 days | GC3HZHJ | So nah . . . | |
1.0/5.0 |
| x3 | 2020-12-13 | 55 days | GC7GX96 | ""😎 Geyer #37 Rüdigga / Start - Ziel | |
3.5/5.0 |
| x4 | 2022-02-26 | 440 days | GC95BD2 | Lückenfüller 7 Leitercache | |
3.5/5.0 |
| x5 | 2022-05-23 | 86 days | GC4QVVC | 5 Tage nacheinander im "Ausland"- Challenge | |
3.5/5.0 |
| x6 | 2022-09-16 | 116 days | GC9TWD4 | SpreePaMa 28 | |
2.5/5.0 |
| x7 | 2022-11-09 | 54 days | GC6NEJR | Παραλιακός δρόμος δυο | |
3.5/3.5 |
| x8 | 2022-11-25 | 16 days | GC9QHX8 | Lustiger Rätsel Spaß 5 | |
3.0/4.5 |
Full D/T completed after 893 days
Caches with most favorite points
| GCCode | Cache name | Type | Location | FP |
|---|---|---|---|---|
| GC13Y2Y | Lego - einer ist zuviel | |
 Berlin |
11797 (49%) |
| GC11JM6 | Geist des Hagen | |
Hessen |
9677 (77%) |
| GC38DP9 | Alberichs Edelsteinturm | |
Hessen |
6594 (64%) |
| GC8NEAT | Let’s improve the outdoors - Locationless Cache |  |
 Washington |
6459 (19%) |
| GC469TG | Die grünen Geister | |
Hessen |
6183 (67%) |
| GC11EJ5 | Schatz des Hagen | |
Hessen |
5730 (52%) |
| GC2Y7RV | Touristic-Spot: Hackesche Höfe | |
Berlin |
4405 (49%) |
| GC468YD | Das Hügelgrab | |
Hessen |
4274 (45%) |
| GC43 | Europe's First | |
 Leinster |
4191 (59%) |
| GC2WGRR | Helms Klamm | |
Hessen |
3905 (56%) |
A total of 433,807 favorite points found (average: 52.19)
Oldest caches found
| Age | Hidden | Found | GCCode | Cache name | |
|---|---|---|---|---|---|
| 8258 days | 2000-06-03 | 2018-10-24 | GC43 | |
Europe's First |
| 7998 days | 2001-02-18 | 2018-10-24 | GC322 | |
Kyle Cache 1 |
| 7956 days | 2001-04-01 | 2019-07-07 | GC5D8 |  |
Dracula's Castle |
| 7895 days | 2001-06-01 | 2019-06-21 | GCE50 |  |
Tex-Czech |
| 7872 days | 2001-06-24 | 2019-06-24 | GCD68 |  |
FakeCastle |
| 7841 days | 2001-07-25 | 2018-05-21 | GC134E |  |
Sulphur Mountain |
| 7828 days | 2001-08-07 | 2018-10-29 | GC16CA | |
High View |
| 7790 days | 2001-09-14 | 2018-12-28 | GC1E51 | |
Prague Panorama |
| 7786 days | 2001-09-18 | 2019-01-13 | GC1DA5 | |
miami freedom tower |
| 7772 days | 2001-10-02 | 2018-02-03 | GC2025 |  |
Entre a Cidade e a Floresta [Lisboa] |
Highest and lowest elevations
| Code | Cache name | Location | Elevation | |
|---|---|---|---|---|
| GC1F1GF | Chimborazo | |
Chimborazo |
6254 m |
| GC6AM1C | Sol de Mañana | |
 Potosí |
4889 m |
| GC4X270 | Árbol de Piedra | |
Potosí |
4574 m |
| GC765QQ | Serrania de Hornocal | |
 Jujuy |
4331 m |
| GC5VAB9 | Laguna Colorada - GE14 | |
Potosí |
4309 m |
| GC1EZDD | Cajas National Park | |
Azuay |
4059 m |
| GC1EXPY | Laguna Quilotoa | |
Cotopaxi |
3859 m |
| GC7R0T4 | El lago Titicaca | |
La Paz |
3813 m |
| GC1HKWF | Colca Canyon | |
 Arequipa |
3772 m |
| GC5E50 | Boundaries Of Life | |
 Colorado |
3660 m |
| … | … | … | … | … |
| GC7M4Q5 | S.Miguel #038 | |
 Açores |
-70 m |
| GC7M4VG | S.Miguel #046 | |
Açores |
-70 m |
| GC7M4QA | S.Miguel #039 | |
Açores |
-77 m |
| GC7M4V4 | S.Miguel #044 | |
Açores |
-79 m |
| GC7M4VA | S.Miguel #045 | |
Açores |
-79 m |
| GC7M4QM | S.Miguel #041 | |
Açores |
-93 m |
| GC13ZJ3 | Antarctic Peninsula | |
Antarctica |
-106 m |
| GC2KF7B | Sea of Galilee and the Hot Springs | |
 North |
-214 m |
| GC3HKX6 | THE DEAD SEA - EARTH'S LOWEST ELEVATION ON LAND | |
South |
-389 m |
| GC5DPA0 | Halite ooids at the shore of the Dead Sea | |
Central |
-422 m |
Average elevation of all finds: 253 m
Travelled elevation: 555,041 m
| Elevation chart | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 |
672 |
2045 |
1254 |
374 |
230 |
145 |
254 |
278 |
239 |
525 |
553 |
861 |
380 |
199 |
121 |
52 |
25 |
6 |
22 |
18 |
||
| Elevation | < 0 | < 25 | < 50 | < 75 | < 100 | < 125 | < 150 | < 200 | < 250 | < 300 | < 400 | < 500 | < 600 | < 750 | < 1000 | < 1250 | < 1500 | < 1750 | < 2000 | < 2500 | ≥ 2500 | |
Finds by found date
| Date | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | ||
| Jan | 46 | 27 | 24 | 13 | 8 | 9 | 18 | 9 | 9 | 12 | 6 | 6 | 14 | 6 | 7 | 6 | 9 | 5 | 7 | 6 | 5 | 11 | 18 | 13 | 7 | 9 | 11 | 13 | 6 | 6 | 19 | 365 |
| Feb | 13 | 5 | 26 | 10 | 14 | 22 | 21 | 25 | 15 | 24 | 5 | 8 | 6 | 11 | 20 | 26 | 19 | 6 | 15 | 36 | 8 | 9 | 20 | 40 | 23 | 28 | 44 | 17 | 14 | X | X | 530 |
| Mar | 9 | 6 | 5 | 10 | 9 | 15 | 25 | 18 | 7 | 17 | 30 | 12 | 57 | 27 | 30 | 18 | 5 | 9 | 140 | 9 | 61 | 76 | 27 | 8 | 10 | 13 | 29 | 19 | 27 | 10 | 15 | 753 |
| Apr | 6 | 11 | 9 | 58 | 27 | 29 | 19 | 13 | 14 | 7 | 17 | 20 | 24 | 26 | 20 | 16 | 12 | 17 | 11 | 9 | 8 | 14 | 31 | 23 | 21 | 23 | 34 | 51 | 21 | 14 | X | 605 |
| May | 26 | 16 | 25 | 37 | 21 | 23 | 32 | 56 | 23 | 14 | 58 | 8 | 16 | 21 | 12 | 45 | 8 | 27 | 20 | 9 | 22 | 40 | 55 | 11 | 10 | 24 | 19 | 15 | 63 | 32 | 44 | 832 |
| Jun | 32 | 27 | 7 | 11 | 23 | 20 | 24 | 12 | 9 | 16 | 15 | 22 | 17 | 12 | 5 | 5 | 13 | 9 | 16 | 28 | 12 | 18 | 13 | 31 | 29 | 30 | 18 | 36 | 36 | 83 | X | 629 |
| Jul | 21 | 16 | 26 | 31 | 33 | 35 | 80 | 14 | 53 | 30 | 25 | 24 | 45 | 33 | 15 | 23 | 22 | 21 | 35 | 24 | 27 | 36 | 21 | 20 | 19 | 10 | 27 | 28 | 23 | 50 | 35 | 902 |
| Aug | 35 | 9 | 32 | 33 | 46 | 28 | 57 | 18 | 27 | 22 | 18 | 25 | 9 | 12 | 20 | 7 | 18 | 19 | 14 | 22 | 10 | 17 | 23 | 45 | 8 | 22 | 11 | 10 | 17 | 20 | 33 | 687 |
| Sep | 17 | 25 | 7 | 22 | 21 | 22 | 10 | 6 | 14 | 65 | 9 | 18 | 21 | 12 | 14 | 81 | 11 | 6 | 19 | 48 | 497 | 11 | 26 | 21 | 38 | 25 | 29 | 14 | 8 | 22 | X | 1139 |
| Oct | 14 | 36 | 20 | 12 | 38 | 15 | 12 | 28 | 27 | 46 | 24 | 15 | 15 | 17 | 25 | 7 | 30 | 10 | 10 | 6 | 28 | 17 | 35 | 28 | 25 | 20 | 12 | 14 | 8 | 15 | 50 | 659 |
| Nov | 15 | 15 | 26 | 33 | 45 | 13 | 18 | 46 | 22 | 58 | 33 | 17 | 8 | 16 | 27 | 8 | 11 | 6 | 19 | 15 | 19 | 10 | 18 | 31 | 26 | 47 | 27 | 47 | 9 | 16 | X | 701 |
| Dec | 7 | 9 | 7 | 10 | 27 | 12 | 5 | 7 | 6 | 6 | 7 | 18 | 34 | 11 | 7 | 7 | 7 | 10 | 20 | 8 | 15 | 9 | 8 | 5 | 9 | 32 | 27 | 47 | 48 | 52 | 33 | 510 |
| 241 | 202 | 214 | 280 | 312 | 243 | 321 | 252 | 226 | 317 | 247 | 193 | 266 | 204 | 202 | 249 | 165 | 145 | 326 | 220 | 712 | 268 | 295 | 276 | 225 | 283 | 288 | 311 | 280 | 320 | 229 | ||
366 found dates, out of 366 (100.0%)
42 FTF found dates, out of 366 (11.5%)
Black text indicates at least one FTF on that day
Generate a calendar overview with filters using the Needed found dates tool
Finds by hidden date
| Date | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | ||
| Jan | 51 | 14 | 20 | 30 | 13 | 21 | 30 | 17 | 15 | 30 | 15 | 14 | 15 | 9 | 9 | 14 | 15 | 8 | 9 | 54 | 26 | 15 | 29 | 27 | 12 | 37 | 39 | 21 | 15 | 15 | 14 | 653 |
| Feb | 9 | 27 | 10 | 10 | 11 | 15 | 21 | 5 | 13 | 12 | 26 | 21 | 23 | 7 | 20 | 16 | 15 | 36 | 10 | 15 | 10 | 10 | 16 | 23 | 11 | 11 | 19 | 14 | 7 | X | X | 443 |
| Mar | 22 | 15 | 26 | 44 | 29 | 19 | 27 | 30 | 22 | 22 | 31 | 19 | 19 | 18 | 18 | 26 | 35 | 39 | 10 | 28 | 21 | 14 | 23 | 29 | 16 | 15 | 33 | 19 | 23 | 18 | 31 | 741 |
| Apr | 26 | 28 | 65 | 38 | 33 | 26 | 33 | 20 | 29 | 32 | 27 | 26 | 28 | 40 | 36 | 33 | 39 | 45 | 22 | 17 | 45 | 38 | 23 | 28 | 24 | 18 | 37 | 47 | 17 | 68 | X | 988 |
| May | 56 | 25 | 98 | 33 | 23 | 24 | 20 | 16 | 26 | 22 | 32 | 42 | 27 | 22 | 22 | 14 | 28 | 19 | 53 | 22 | 12 | 16 | 18 | 27 | 18 | 38 | 37 | 15 | 27 | 25 | 27 | 884 |
| Jun | 29 | 9 | 47 | 33 | 26 | 27 | 38 | 15 | 18 | 34 | 15 | 19 | 17 | 21 | 25 | 132 | 20 | 7 | 12 | 41 | 21 | 15 | 48 | 18 | 25 | 17 | 14 | 19 | 39 | 21 | X | 822 |
| Jul | 17 | 9 | 17 | 17 | 13 | 18 | 17 | 20 | 23 | 29 | 17 | 37 | 15 | 15 | 17 | 17 | 19 | 14 | 16 | 27 | 23 | 20 | 18 | 24 | 23 | 18 | 15 | 22 | 20 | 19 | 21 | 597 |
| Aug | 30 | 17 | 24 | 15 | 23 | 15 | 12 | 24 | 19 | 35 | 11 | 21 | 12 | 34 | 64 | 25 | 15 | 28 | 19 | 23 | 38 | 11 | 21 | 57 | 14 | 29 | 47 | 27 | 23 | 41 | 28 | 802 |
| Sep | 50 | 30 | 16 | 10 | 19 | 16 | 18 | 19 | 37 | 12 | 14 | 29 | 39 | 33 | 20 | 44 | 20 | 15 | 23 | 16 | 35 | 17 | 17 | 28 | 23 | 12 | 18 | 23 | 10 | 18 | X | 681 |
| Oct | 19 | 21 | 22 | 11 | 26 | 24 | 17 | 11 | 22 | 20 | 23 | 11 | 16 | 28 | 22 | 20 | 18 | 17 | 15 | 23 | 29 | 18 | 14 | 40 | 12 | 25 | 18 | 15 | 8 | 38 | 13 | 616 |
| Nov | 37 | 12 | 17 | 19 | 6 | 61 | 15 | 15 | 12 | 20 | 16 | 8 | 10 | 17 | 36 | 21 | 16 | 29 | 35 | 18 | 14 | 29 | 10 | 10 | 12 | 21 | 21 | 7 | 15 | 11 | X | 570 |
| Dec | 35 | 18 | 13 | 13 | 12 | 10 | 4 | 12 | 12 | 7 | 11 | 16 | 9 | 19 | 12 | 10 | 12 | 29 | 16 | 13 | 33 | 16 | 15 | 10 | 11 | 34 | 32 | 27 | 16 | 20 | 18 | 515 |
| 381 | 225 | 375 | 273 | 234 | 276 | 252 | 204 | 248 | 275 | 238 | 263 | 230 | 263 | 301 | 372 | 252 | 286 | 240 | 297 | 307 | 219 | 252 | 321 | 201 | 275 | 330 | 256 | 220 | 294 | 152 | ||
366 found dates, out of 366 (100.0%)
Find geocaches for your missing hidden dates in the Hidden date tool
Finds by hidden month
| Date | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | ||
| 2000 | X | X | X | X | 1 | 1 | |||||||
| 2001 | 1 | 1 | 2 | 1 | 1 | 2 | 4 | 2 | 2 | 16 | |||
| 2002 | 2 | 1 | 1 | 8 | 4 | 2 | 3 | 3 | 6 | 6 | 7 | 3 | 46 |
| 2003 | 4 | 2 | 4 | 5 | 4 | 7 | 5 | 6 | 3 | 3 | 4 | 2 | 49 |
| 2004 | 2 | 3 | 3 | 7 | 5 | 5 | 3 | 2 | 2 | 3 | 4 | 1 | 40 |
| 2005 | 4 | 2 | 5 | 3 | 5 | 3 | 6 | 4 | 5 | 7 | 3 | 2 | 49 |
| 2006 | 5 | 4 | 4 | 7 | 7 | 3 | 9 | 3 | 7 | 4 | 3 | 5 | 61 |
| 2007 | 8 | 4 | 7 | 15 | 3 | 8 | 3 | 13 | 11 | 6 | 4 | 9 | 91 |
| 2008 | 3 | 7 | 18 | 14 | 9 | 15 | 8 | 14 | 14 | 18 | 5 | 8 | 133 |
| 2009 | 7 | 12 | 10 | 16 | 22 | 6 | 26 | 22 | 21 | 11 | 11 | 9 | 173 |
| 2010 | 15 | 11 | 24 | 22 | 27 | 25 | 24 | 28 | 25 | 27 | 10 | 13 | 251 |
| 2011 | 18 | 16 | 27 | 39 | 24 | 28 | 36 | 37 | 43 | 33 | 22 | 24 | 347 |
| 2012 | 37 | 23 | 27 | 33 | 25 | 21 | 34 | 53 | 54 | 38 | 21 | 14 | 380 |
| 2013 | 18 | 24 | 34 | 40 | 58 | 23 | 48 | 30 | 41 | 38 | 74 | 36 | 464 |
| 2014 | 27 | 27 | 44 | 50 | 34 | 65 | 37 | 41 | 40 | 42 | 53 | 33 | 493 |
| 2015 | 50 | 53 | 48 | 88 | 57 | 40 | 29 | 113 | 47 | 54 | 28 | 45 | 652 |
| 2016 | 47 | 35 | 41 | 71 | 46 | 65 | 81 | 56 | 54 | 43 | 57 | 35 | 631 |
| 2017 | 28 | 18 | 48 | 54 | 66 | 65 | 58 | 98 | 68 | 61 | 117 | 54 | 735 |
| 2018 | 139 | 78 | 163 | 171 | 165 | 143 | 53 | 61 | 89 | 69 | 29 | 55 | 1215 |
| 2019 | 36 | 38 | 81 | 80 | 139 | 193 | 50 | 104 | 42 | 66 | 23 | 54 | 906 |
| 2020 | 63 | 46 | 66 | 104 | 106 | 65 | 35 | 58 | 56 | 39 | 51 | 34 | 723 |
| 2021 | 85 | 29 | 33 | 128 | 55 | 16 | 23 | 22 | 10 | 23 | 22 | 35 | 481 |
| 2022 | 43 | 9 | 53 | 32 | 23 | 21 | 25 | 33 | 41 | 21 | 20 | 42 | 363 |
| 2023 | 12 | 12 | |||||||||||
| 653 | 443 | 741 | 988 | 884 | 822 | 597 | 802 | 681 | 616 | 570 | 515 | ||
263 hidden months, out of 273 (96%)
Find geocaches for your missing hidden months in the Hidden month tool
Finds by owner
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|
| These didn't make it to the top: | ||||||||||||||||||||
|
Geocaches from a total of 3481 owners have been found
Collected attributes
 27 |
 87 |
 193 |
 4740 |
 3290 |
 4552 |
 97 |
 59 |
 51 |
 69 |
 186 |
 100 |
 28 |
 189 |
 62 |
 45 |
 4373 |
 343 |
 52 |
 78 |
 1052 |
 267 |
 706 |
 77 |
 420 |
 496 |
 143 |
 405 |
 0 |
 95 |
 41 |
 42 |
 79 |
 835 |
 1490 |
 1691 |
 51 |
 384 |
 1377 |
 2873 |
 0 |
 519 |
 172 |
 411 |
 571 |
 1511 |
 961 |
 281 |
 2947 |
 1511 |
 1802 |
 26 |
 110 |
 1731 |
 392 |
 35 |
 794 |
 2042 |
 2633 |
 3561 |
 243 |
 261 |
 726 |
 1448 |
 123 |
 80 |
 38 |
 1230 |
 6 |
 82 |
Positive attributes: 68 out of 70 collected (97.1%)
 49 |
 418 |
 628 |
 133 |
 355 |
 102 |
 107 |
 105 |
 67 |
 46 |
 47 |
 70 |
 62 |
 31 |
 48 |
 441 |
 343 |
 371 |
 83 |
 74 |
 42 |
 57 |
 98 |
 336 |
 993 |
 84 |
 30 |
 36 |
 168 |
 38 |
 47 |
 178 |
 79 |
 316 |
 78 |
 36 |
 63 |
 533 |
 383 |
 1457 |
 33 |
Negative attributes: 41 out of 41 collected (100.0%)
Statistics produced with Project-GC
Inspired by FindStatGen, a macro for GSAK
All credits for the idea should go to the author of FindStatGen
ralf_de has logged 8312 different geocaches,
plus 1688 lab caches, a total of 10000 unique finds
Data from 2023-01-12
Milestones
| Milestone | Date | Interval | GCCode | Cache name | ||
|---|---|---|---|---|---|---|
| 1 | 2017-05-29 | |
GC4FNZ0 | |
"Wo sind die Dampfer?" | |
| 10 | 2017-08-03 | 66 days |  |
GC2XBW6 | |
Shush, it's a secret #15 |
| 50 | 2017-08-10 | 7 days |  |
GC12AQG | |
Three Legs: S3 (Coast) |
| 100 | 2017-08-23 | 13 days |  |
GC1XJT5 | |
The Water Pump |
| 200 | 2017-10-02 | 40 days | |
GC78K2Q | |
Tempelhofer Feld #2 |
| 300 | 2017-12-30 | 89 days |  |
GC4Z2ME | |
Stærebo |
| 400 | 2018-02-03 | 35 days | |
GC4AZET | |
O último condenado à morte em Portugal |
| 500 | 2018-02-25 | 22 days | |
GC6M3PE | |
* Betula am Krater * |
| 600 | 2018-03-19 | 22 days | |
GC7BDRR | |
Pumpen Calling |
| 700 | 2018-04-04 | 16 days |  |
GC5QNKQ | |
RUTA EN BICI -14 |
| 800 | 2018-04-18 | 14 days | |
GC3J2TY | |
Marx-Engels-Forum (reloaded) |
| 900 | 2018-05-04 | 16 days | |
GC7N5CW | |
A672 View - rereloaded |
| 1000 | 2018-05-18 | 14 days | |
GC7B9CP | |
Platform 9 3/4 |
| 1500 | 2018-10-06 | 141 days | |
GC2CGVT | |
5* TB-Hotel A2/A14 Check In Now ... |
| 2000 | 2019-02-28 | 145 days |  |
GC4CR74 | |
Qolla I-Bajda - or - the end of a mountain |
| 2500 | 2019-07-07 | 129 days |  |
GC5D8 | |
Dracula's Castle |
| 3000 | 2019-09-21 | 76 days | |
GC7RA2Q | |
# 461. Der ehemalige Landkreis Waldeck |
| 3500 | 2020-01-02 | 103 days | |
GC4JNBF | |
Challenge: Deutschlands Nachbarn |
| 4000 | 2020-05-22 | 141 days | |
GC7Y4A9 | |
Um den Roofensee herum |
| 4500 | 2020-07-22 | 61 days | |
GC466ZX | |
Lustige Pinguine |
| 5000 | 2020-10-12 | 82 days | |
GC8MV0C | |
WdN#2 - Schwieriges Ding |
| 6000 | 2021-06-10 | 241 days | |
GC7F57 | |
Ozapft is |
| 7000 | 2022-03-21 | 284 days | |
GC94968 | |
LCR06 - Leeser Cache Runde # 06 [DE] / [EN] |
| 8000 | 2022-10-31 | 224 days | |
GC7DY1R | |
Horror-Box |
| 8312 | 2023-01-12 | 73 days | |
GCA2N8G | |
Invalidenpark #8 - ralf_de's 10.000ster |
First cache by country
| Milestone | Date | Country | GCCode | Type | Cache name |
|---|---|---|---|---|---|
| 1 | 2017-05-29 | Germany |
GC4FNZ0 | |
"Wo sind die Dampfer?" |
| 7 | 2017-07-31 |  Netherlands |
GC2Q72P | |
Vuurtoren van Harlingen |
| 8 | 2017-08-01 |  Belgium |
GC77NCY | |
opex 2 |
| 9 | 2017-08-01 |  France |
GC5252C | |
Mémorial du 110ème Régiment d'Infanterie |
| 10 | 2017-08-03 |  United Kingdom |
GC2XBW6 | |
Shush, it's a secret #15 |
| 43 | 2017-08-10 |  Isle of Man |
GC50B48 | |
Millennium Way Geotrail 46 - The End |
| 85 | 2017-08-20 |  Guernsey |
GC1XV7W | |
fast lane |
| 95 | 2017-08-23 |  Jersey |
GC4GFB7 | |
Le Marais à la Cocque |
| 130 | 2017-08-26 |  Luxembourg |
GC3WBTR | |
D'Badanstalt |
| 210 | 2017-10-20 |  Greece |
GCGBQT | |
Island Windmill |
| 270 | 2017-12-26 |  Denmark |
GC40WFT | |
Vejr #2 |
| 273 | 2017-12-26 |  Sweden |
GC6P8EQ | |
Petroleum Tango # 296 |
| 322 | 2018-01-10 |  Sri Lanka |
GC262FG | |
Little Adam's peak |
| 324 | 2018-01-12 |  Cambodia |
GC6F4HX | |
A River Flows Backward |
| 392 | 2018-02-03 | Portugal |
GC3PRQX | |
Igreja do Campo Grande |
| 412 | 2018-02-04 |  Cabo Verde |
GC31AK6 | |
CIDADE DA PRAIA “OS PORTUGUESES” - CABO VERDE |
| 618 | 2018-03-24 |  Spain |
GC6JE1D | |
Acuapuerto/Hydroport |
| 770 | 2018-04-14 |  Poland |
GC1DMAD | |
SLUBICE - Nice promenade along the Odra |
| 888 | 2018-05-01 |  Chile |
GCB0D5 | |
Furthest Southern Cache |
| 889 | 2018-05-01 |  Argentina |
GC1JPHG | |
Glaciar Perito Moreno - Patagonia |
| 910 | 2018-05-05 |  Jordan |
GC5DPA0 | |
Halite ooids at the shore of the Dead Sea |
| 914 | 2018-05-05 |  Israel |
GC2KF7B | |
Sea of Galilee and the Hot Springs |
| 920 | 2018-05-06 |  Bolivia |
GC4X270 | |
Árbol de Piedra |
| 922 | 2018-05-06 |  Paraguay |
GC6Y71N | |
Costanera |
| 981 | 2018-05-14 |  Russia |
GC20010 | |
Lake Baikal |
| 982 | 2018-05-14 |  Japan |
GCD64C | |
Jet Lag 3 - Wild? Horses (Meiji-jingu) |
| 985 | 2018-05-14 |  Taiwan |
GCEC15 | |
Yehliu Rock Formation |
| 991 | 2018-05-16 |  Albania |
GC1HKV4 | |
Lake Butrint and Vivari Channel |
| 992 | 2018-05-16 |  Türkiye |
GC1HGFY | |
Lake Van |
| 1001 | 2018-05-18 |  Faroe Islands |
GC4W1XH | |
Quartz crystals at Funningur |
| 1004 | 2018-05-20 |  Finland |
GC7B6NK | |
Laivanrakennusta Turussa / Shipbuilding in Turku |
| 1005 | 2018-05-20 |  Aland Islands |
GC5KKQM | |
Stenåkrar vid Orrdalsklint |
| 1006 | 2018-05-20 |  Estonia |
GC2CV8M | |
Panga cliff |
| 1009 | 2018-05-21 | United States |
GCAA24 | |
A Great Mom |
| 1013 | 2018-05-21 | Canada |
GC134E | |
Sulphur Mountain |
| 1042 | 2018-05-25 |  Saint Lucia |
GC7G1TF | |
St Lucia coastline being changed by Erosion |
| 1043 | 2018-05-25 |  Saint Vincent and the Grenadines |
GC484XP | |
Tobago Cays "sail fast - live slow" |
| 1044 | 2018-05-26 |  Peru |
GC1HKWF | |
Colca Canyon |
| 1045 | 2018-05-26 |  Brazil |
GC4KZEY | |
Pão de Açúcar |
| 1047 | 2018-05-27 |  Ukraine |
GC7EWEX | |
Шевченко |
| 1048 | 2018-05-27 |  Bulgaria |
GC7B9XG | |
Nessebar Virtual |
| 1049 | 2018-05-28 |  Kenya |
GC4PK40 | |
Great Rift Valley Eastern Escarpment |
| 1051 | 2018-05-28 |  Tanzania |
GC2CCZJ | |
Zanzibar Coral Reefs |
| 1052 | 2018-05-29 |  Malta |
GC7B8NZ | |
Mnajdra and Ħaġar Qim |
| 1053 | 2018-05-29 |  Slovenia |
GC20PFY | |
Cerknica vanishing lake |
| 1054 | 2018-05-29 |  Montenegro |
GC2A1PC | |
Lake Skadar - Cryptodepression |
| 1055 | 2018-05-30 |  Morocco |
GC2VHGJ | |
Todra Gorge |
| 1056 | 2018-05-30 |  Egypt |
GC195R6 | |
Mount Sinai |
| 1066 | 2018-06-03 |  Antarctica |
GC13ZJ3 | |
Antarctic Peninsula |
| 1068 | 2018-06-04 |  Hong Kong |
GCE07C | |
Mad Dogs and Englishmen (Hong Kong) |
| 1069 | 2018-06-04 |  Vietnam |
GC2357X | |
Huong Tich Grotto (Perfume Pagoda) |
| 1070 | 2018-06-04 |  Myanmar |
GCFA5A | |
Mingalazedi View (Myanmar/Burma) |
| 1092 | 2018-06-08 |  Ecuador |
GC1F1GF | |
Chimborazo |
| 1099 | 2018-06-10 |  Iceland |
GC1CWV4 | |
JÖKULSÁRLÓN (ICELAND) |
| 1100 | 2018-06-10 |  Norway |
GC30RFV | |
Nordkapp and Knivskjelodden |
| 1126 | 2018-06-16 |  Croatia |
GC6TA69 | |
Tafoni - Rab City |
| 1127 | 2018-06-17 |  Serbia |
GC6WPQN | |
Sedimentary Rock - Limestone |
| 1128 | 2018-06-17 |  Bosnia and Herzegovina |
GC28FXB | |
Stari Most |
| 1136 | 2018-06-23 |  Uruguay |
GC2ERDZ | |
Estructura de las Rocas |
| 1213 | 2018-07-05 |  Qatar |
GC1A0C2 | |
Singing Sand Dunes |
| 1216 | 2018-07-06 |  Namibia |
GC7QWA4 | |
Schist - Not to be Missed! |
| 1262 | 2018-07-26 |  Zimbabwe |
GC63XKJ | |
Viewpoint |
| 1263 | 2018-07-27 |  Botswana |
GC7AXH7 | |
Bushbuck Ridge Stretch Point |
| 1269 | 2018-07-29 |  Zambia |
GC6R7AJ | |
ZimZam |
| 1271 | 2018-07-30 |  South Africa |
GC1V8MD | |
DP de Villiers |
| 1351 | 2018-08-23 |  United Arab Emirates |
GC7NJGR | |
Dubai Creek |
| 1371 | 2018-08-30 |  Latvia |
GC7B8E2 | |
View of the Old Riga |
| 1372 | 2018-08-30 |  Lithuania |
GC7BA0R | |
White Swan of Kaunas |
| 1379 | 2018-09-02 |  North Macedonia |
GC7V6RD | |
Nacionalen Park Galicica |
| 1393 | 2018-09-09 |  Australia |
GC2GKK2 | |
KATA TJUTA |
| 1446 | 2018-09-17 |  Thailand |
GCGEK2 | |
Dusit Zoo, Bangkok |
| 1448 | 2018-09-19 |  Macao |
GCE6DB | |
Macau's Second - Coloane's Highest (China) |
| 1531 | 2018-10-21 | Ireland |
GC5GKTN | |
Lavender |
| 1787 | 2018-12-26 | Czechia |
GC2JFYJ | |
Hradek nad Nisou TROJZEMI |
| 1821 | 2018-12-30 |  Austria |
GC4ZZT2 | |
Challenge - 4 Cachetypes in 4 Countries |
| 1822 | 2018-12-30 |  Slovakia |
GC43EG7 | |
Jarovce – Pieta |
| 1823 | 2018-12-30 | Hungary |
GC4AK99 | |
IDCR 02 |
| 1829 | 2018-12-30 |  Italy |
GC2MXRM | |
chiesa di S. Leonardo |
| 1834 | 2018-12-30 |  Liechtenstein |
GC4RV1N | |
Schaanwalder Residenzhof TB & Coin Hotel FL |
| 1837 | 2018-12-30 |  Switzerland |
GC2XZYK | |
Trümmlig |
| 1921 | 2019-01-28 |  Guadeloupe |
GC70VPF | |
Lagunes et salines de la Pointe des Chateaux |
| 1922 | 2019-01-29 |  Martinique |
GC6NX5C | |
Fok nou paré - Montagne Pelée |
| 1927 | 2019-02-03 |  Belarus |
GC2Y4WD | |
Pub |
| 2067 | 2019-04-11 |  Singapore |
GCBE0B | |
Bukit Timah 1 |
| 2068 | 2019-04-12 |  Malaysia |
GC7B753 | |
Be in a souvenir |
| 2098 | 2019-04-21 |  Laos |
GC7H7YW | |
Donxao Island ສວນວັດທະນະທຳບໍ່ |
| 2420 | 2019-06-25 | Romania |
GC7MA5A | |
13 generali martiri / The 13 Martyr Generals |
| 2473 | 2019-07-03 |  Moldova |
GC5D8KK | |
[IS2] Sculeni #7 - Centrul Comercial |
| 2651 | 2019-08-02 |  South Korea |
GC76JBR | |
Munjeong Biz Valley Petrified Woods |
| 3538 | 2020-01-15 |  Cyprus |
GC47F3 | |
On the beach |
| 6043 | 2021-06-21 |  Vatican City State |
GC892N6 | |
Vatican, a Dream Come True |
| 6044 | 2021-06-21 |  San Marino |
GC891EC | |
San Marino: First Virtual 👻 |
| 7966 | 2022-10-21 |  Mongolia |
GC9MCEN | |
Turtle Rock / Melkhii Khad |
Caches in 93 countries found
Locationless caches are excluded
First cache by cache type
| Milestone | Date | Country | GCCode | Type | Cache name |
|---|---|---|---|---|---|
| 1 | 2017-05-29 | Germany |
GC4FNZ0 | |
"Wo sind die Dampfer?" |
| 15 | 2017-08-05 | United Kingdom |
GC40WH0 | |
The Stones of Lincoln Cathedral |
| 83 | 2017-08-19 | United Kingdom |
GC6WT5W | |
Church Micro 10232 Bibury |
| 161 | 2017-09-21 | Germany |
GC57DD | |
Berlin's Second (but first virtual) Cache |
| 162 | 2017-09-22 | Germany |
GCTCNG | |
THEOPHILUS |
| 249 | 2017-11-30 | Germany |
GC7E2JZ | |
Denksport in Adlershof (DiA) XIV |
| 805 | 2018-04-22 | Germany |
GC7KPT6 |  |
11. CITO auf dem Biesenhorster Sand |
| 1266 | 2018-07-28 |  Zimbabwe |
GC7TJTH | |
Safari Snap |
| 1440 | 2018-09-16 | Germany |
GC72A0A | |
Am Krossinsee |
| 1680 | 2018-11-17 | Germany |
GCPXVQ |  |
Mittweidaer Markt |
| 2160 | 2019-05-18 | Germany |
GC7QQQQ |  |
Berlin - Hauptstadt der Spione |
| 2653 | 2019-08-03 | Germany |
GC7XEEX |  |
Lost in MV - MACH 3 |
| 4681 | 2020-08-20 | Germany |
GC8Q94D |  |
DiA XXXVI Special - Community Celebration Event |
| 7159 | 2022-04-09 | United States |
GC8NEAT | |
Let’s improve the outdoors - Locationless Cache |
14 cache types found
Statistics produced with Project-GC
Inspired by FindStatGen, a macro for GSAK
All credits for the idea should go to the author of FindStatGen
ralf_de has 84 FTF (1.01%)
Average distance 2,203.4 km, average interval 24.5 days
Data from 2023-01-12
First FTF by location
| # | Date | Location | GCCode | Type | Cache name |
|---|---|---|---|---|---|
| 1 | 2017-10-24 | South Aegean / Syros |
GC7CATY | |
Enigmoupoli 1 - What's M… |
| 12 | 2018-01-13 | Brandenburg / Märkisch-Oderland |
GC7H0XC | |
Durch Wald und Flur 1 |
| 16 | 2018-06-24 | Misiones / Iguazú (Departamento) |
GC7P6VG | |
Planetary Geology on Ear… |
| 17 | 2018-07-06 | Khomas |
GC7QWA4 | |
Schist - Not to be Misse… |
| 18 | 2018-07-28 | Matabeleland North / Hwange |
GC7TJTH | |
Safari Snap |
| 19 | 2018-08-25 | North Central Province |
GC7B9YG | |
Medirigiriya Vatadage |
| 20 | 2018-10-25 | Leinster / Wexford |
GC7Z95D | |
Birdhouse No.2 ( Tintern… |
| 22 | 2018-11-01 | Ulster / Down |
GC7YVGZ | |
100 in 10 Earth Cache Ch… |
| 23 | 2018-12-16 | Berlin / Berlin |
GC7ZNJR | |
Der Fleckelanzug |
| 24 | 2019-01-07 | Rocha |
GC800QA | |
Geomorfologia del Cabo |
| 25 | 2019-02-15 | Brandenburg / Prignitz |
GC8386T | |
PODBIELSKI-DAMM XII |
| 31 | 2019-04-14 | Western Thailand / Kanchanaburi |
GC4A63Z | |
Pa Tad Waterfall |
| 35 | 2019-04-17 | Northern Thailand / Chiang Mai |
GC80XK6 | |
Wat Tha Phak |
| 36 | 2019-04-19 | Northern Thailand / Lamphun |
GC82F4X | |
Sabai River Trail - Doi … |
| 38 | 2019-04-23 | Central Thailand / Phetchabun |
GC82N46 | |
Lom Sak Museum |
| 41 | 2019-06-24 | Pest megye / Nagykőrösi járás |
GC89DZ9 | |
Október 23. Tér |
| 42 | 2019-06-26 | Sud-Vest / Gorj |
GC87V6V | |
Coloana Infinitului |
| 43 | 2019-06-29 | București-Ilfov / Ilfov |
GC89RX8 | |
A2 km 20 East |
| 44 | 2019-06-29 | Sud-Muntenia / Călărași |
GC89T0J | |
A2 km 66 East |
| 48 | 2019-06-29 | Sud-Muntenia / Ialomița |
GC89T4K | |
A2 km 140 East |
| 49 | 2019-07-03 | Nord-Est / Iași |
GC89T5J | |
Fabrica de Țigarete din … |
| 50 | 2019-07-05 | Nord-Est / Suceava |
GC7D3R2 | |
LUS 7 |
| 51 | 2019-07-13 | Nord-Vest / Sălaj |
GC87PKK | |
Crasna trail - The first… |
| 64 | 2019-07-27 | Wielkopolskie / Wągrowiecki |
GC7Z0RH | |
Czerwony #114 (WK-184) |
| 65 | 2019-07-28 | Wielkopolskie / Obornicki |
GC7Z06K | |
Czerwony #102 (WK-184) -… |
| 67 | 2019-08-31 | Brandenburg / Dahme-Spreewald |
GC8CVDC | |
Angeln im Spreewald 6 |
| 73 | 2022-05-11 | Açores / Ponta Delgada |
GC9RK4F | |
Miradouro do Cerrado das… |
| 74 | 2022-05-26 | Baden-Württemberg / Emmendingen (Lkr) |
GC9TYZY | |
KANDEL - PASSHÖHE |
| 77 | 2022-10-31 | Brandenburg / Oberhavel |
GCA1AYN | |
Das Horror-Haus |
| 80 | 2022-12-06 | Brandenburg / Teltow-Fläming |
GCA2BDY | |
Advent(ure) 2022 #06 |
| 82 | 2022-12-23 | Brandenburg / Potsdam-Mittelmark |
GCA1WKB | |
Advent(ure) 2022 # 23 |
FTF in 13 countries, 22 regions, 28 counties
First FTF by cache type
| # | Date | Country | GCCode | Type | Cache name |
|---|---|---|---|---|---|
| 1 | 2017-10-24 |  Greece |
GC7CATY | |
Enigmoupoli 1 - What's My Number? |
| 2 | 2017-10-25 | Greece |
GC7DDBN | |
Agioi Anargyroi - Άγιοι Ανάργυροι |
| 3 | 2017-10-25 | Greece |
GC7DHJK | |
Ano Meria Μulti#2 |
| 16 | 2018-06-24 | Argentina |
GC7P6VG | |
Planetary Geology on Earth: Knickpoints |
| 18 | 2018-07-28 | Zimbabwe |
GC7TJTH | |
Safari Snap |
| 19 | 2018-08-25 |  Sri Lanka |
GC7B9YG | |
Medirigiriya Vatadage |
| 71 | 2020-08-20 | Germany |
GC8XY4N | |
DiA #1 Street Art Gallery |
| 83 | 2022-12-23 | Germany |
GC8HJTM | |
Advent(ure) 2022 - Warten auf den Weihnachtsmann |
8 cache types found
FTF by type
| Type | Amount | Percent | |
|---|---|---|---|
| Traditional | 54 | 64.29% | |
| Unknown | 14 | 16.67% | |
| Multi | 5 | 5.95% | |
| Earthcache | 5 | 5.95% | |
| Wherigo | 2 | 2.38% | |
| Letterbox | 2 | 2.38% | |
| Virtual | 1 | 1.19% | |
| L&F Event | 1 | 1.19% |
FTF by type
FTF by size
| Type | Amount | Percent | |
|---|---|---|---|
| Micro | 42 | 50.00% | |
| Small | 26 | 30.95% | |
| Other | 11 | 13.10% | |
| Regular | 3 | 3.57% | |
| Virtual | 1 | 1.19% | |
| Large | 1 | 1.19% |
FTF by size
FTF by difficulty rating
| Difficulty | Amount | Percent | |
|---|---|---|---|
| 1.0 | 5 | 5.95% | |
| 1.5 | 35 | 41.67% | |
| 2.0 | 22 | 26.19% | |
| 2.5 | 7 | 8.33% | |
| 3.0 | 4 | 4.76% | |
| 3.5 | 5 | 5.95% | |
| 4.0 | 0 | 0% | |
| 4.5 | 4 | 4.76% | |
| 5.0 | 2 | 2.38% |
Average difficulty: 2.10
FTF by difficulty rating
FTF by terrain rating
| Terrain | Amount | Percent | |
|---|---|---|---|
| 1.0 | 8 | 9.52% | |
| 1.5 | 39 | 46.43% | |
| 2.0 | 23 | 27.38% | |
| 2.5 | 8 | 9.52% | |
| 3.0 | 4 | 4.76% | |
| 3.5 | 1 | 1.19% | |
| 4.0 | 1 | 1.19% | |
| 4.5 | 0 | 0% | |
| 5.0 | 0 | 0% |
Average terrain: 1.81
FTF by terrain rating
FTF D/T Chart
| Terrain | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 3 | 1 | 1 | 5 | |||||||
| 1.5 | 3 | 25 | 2 | 5 | 35 | ||||||
| 2.0 | 4 | 14 | 1 | 2 | 1 | 22 | |||||
| 2.5 | 5 | 1 | 1 | 7 | |||||||
| 3.0 | 2 | 2 | 4 | ||||||||
| 3.5 | 1 | 2 | 1 | 1 | 5 | ||||||
| 4.0 | 0 | ||||||||||
| 4.5 | 1 | 3 | 4 | ||||||||
| 5.0 | 1 | 1 | 2 | ||||||||
| 8 | 39 | 23 | 8 | 4 | 1 | 1 | 0 | 0 | 84 | ||
FTF on 25 Diff/Terr combinations, out of 81
19 (22.6%) FTFs were rated with Diff or Terr of 3 or greater
Way to 81 (FTF)
| # | Date | Interval | GCCode | Cache name | Type | D/T |
|---|---|---|---|---|---|---|
| 1 | 2017-10-24 | GC7CATY | Enigmoupoli 1 - What's My Number? | |
2.0/1.5 | |
| 2 | 2017-10-25 | 1 day | GC7DDBN | Agioi Anargyroi - Άγιοι Ανάργυροι | |
1.5/1.5 |
| 3 | 2017-10-25 | 0 days | GC7DHJK | Ano Meria Μulti#2 | |
2.0/2.0 |
| 4 | 2017-10-25 | 0 days | GC7CAH2 | Enigmoupoli 3 - When's My Number? | |
2.5/1.5 |
| 5 | 2017-10-25 | 0 days | GC7CC68 | Enigmoupoli 4 - At the Movies 2 | |
3.0/1.5 |
| 6 | 2017-10-28 | 3 days | GC7E4JK | Syros 442 | |
1.5/2.5 |
| 7 | 2018-06-24 | 239 days | GC7P6VG | Planetary Geology on Earth: Knickpoints | |
1.5/1.0 |
| 8 | 2018-07-06 | 12 days | GC7QWA4 | Schist - Not to be Missed! | |
2.5/2.0 |
| 9 | 2018-11-01 | 118 days | GC7YVGZ | 100 in 10 Earth Cache Challenge | |
5.0/3.5 |
| 10 | 2019-04-06 | 156 days | GC85NJG | Großer Müggelberg - Berlins höchster Cache | |
5.0/3.0 |
| 11 | 2019-04-14 | 8 days | GC4A63Z | Pa Tad Waterfall | |
2.0/3.0 |
| 12 | 2019-04-15 | 1 day | GC4A64T | Jokradin Waterfall | |
2.0/2.5 |
| 13 | 2019-04-15 | 0 days | GC4A64P | Khao Chang Phuak Viewpoint | |
2.5/2.5 |
| 14 | 2019-04-20 | 5 days | GC859NQ | On the Road to the Hill Tribes | |
3.5/1.5 |
| 15 | 2019-06-24 | 65 days | GC89DZ9 | Október 23. Tér | |
1.0/1.0 |
| 16 | 2019-06-26 | 2 days | GC87V6V | Coloana Infinitului | |
3.0/2.0 |
| 17 | 2019-07-13 | 17 days | GC87PKK | Crasna trail - The first one is called Smelly | |
1.5/2.0 |
| 18 | 2019-08-31 | 49 days | GC8CVDC | Angeln im Spreewald 6 | |
4.5/2.0 |
| 19 | 2019-08-31 | 0 days | GC8CVDD | Angeln im Spreewald 7 | |
3.5/2.5 |
| 20 | 2019-09-30 | 30 days | GC7CGJZ | LUS 2 | |
1.0/1.5 |
| 21 | 2022-07-30 | 1034 days | GC9XN2A | Merkur | |
3.5/1.0 |
| 22 | 2022-10-31 | 93 days | GCA1AYN | Das Horror-Haus | |
3.5/2.0 |
| 23 | 2022-12-01 | 31 days | GCA2DZY | Cache Kalender 2022 #1 | |
2.0/4.0 |
| 24 | 2022-12-04 | 3 days | GCA1XPZ | Advent(ure) 2022 #04 | |
4.5/1.0 |
| 25 | 2022-12-23 | 19 days | GCA1WKB | Advent(ure) 2022 # 23 | |
1.0/3.0 |
FTF list
| # | Date | Interval | Code | Cache name | ||
|---|---|---|---|---|---|---|
| 1 | 2017-10-24 | |
GC7CATY | |
Enigmoupoli 1 - What's My Number? | |
| 2 | 2017-10-25 | 1 day | |
GC7DDBN | |
Agioi Anargyroi - Άγιοι Ανάργυροι |
| 3 | 2017-10-25 | 0 days | |
GC7DHJK | |
Ano Meria Μulti#2 |
| 4 | 2017-10-25 | 0 days | |
GC7CAH2 | |
Enigmoupoli 3 - When's My Number? |
| 5 | 2017-10-25 | 0 days | |
GC7CC68 | |
Enigmoupoli 4 - At the Movies 2 |
| 6 | 2017-10-28 | 3 days | |
GC7E4JK | |
Syros 442 |
| 7 | 2017-10-28 | 0 days | |
GC7E2B9 | |
Ano Meria Multi#3 |
| 8 | 2017-10-28 | 0 days | |
GC7E3C0 | |
Ano Meria Multi#4 |
| 9 | 2017-10-28 | 0 days | |
GC7DFY2 | |
Ano Meria Multi#1 |
| 10 | 2017-10-28 | 0 days | |
GC7CDXB | |
Enigmoupoli 7 - At the Movies 3 |
| … | Show 64 additional FTFs |
|||||
| 11 | 2017-10-28 | 0 days | |
GC7CB5G | |
Enigmoupoli 5 - Playing Games |
| 12 | 2018-01-13 | 77 days | |
GC7H0XC | |
Durch Wald und Flur 1 |
| 13 | 2018-01-13 | 0 days | |
GC7H0XK | |
Durch Wald und Flur 2 |
| 14 | 2018-01-13 | 0 days | |
GC7H0ZP | |
Durch Wald und Flur 3 |
| 15 | 2018-01-13 | 0 days | |
GC7H10R | |
Durch Wald und Flur 4 |
| 16 | 2018-06-24 | 162 days | |
GC7P6VG | |
Planetary Geology on Earth: Knickpoints |
| 17 | 2018-07-06 | 12 days |  |
GC7QWA4 | |
Schist - Not to be Missed! |
| 18 | 2018-07-28 | 22 days | |
GC7TJTH | |
Safari Snap |
| 19 | 2018-08-25 | 28 days | |
GC7B9YG | |
Medirigiriya Vatadage |
| 20 | 2018-10-25 | 61 days | |
GC7Z95D | |
Birdhouse No.2 ( Tintern Demesne Trail ) |
| 21 | 2018-10-25 | 0 days | |
GC7Z90T | |
Birdhouse No.1 ( Tintern Abbey ) |
| 22 | 2018-11-01 | 7 days | |
GC7YVGZ | |
100 in 10 Earth Cache Challenge |
| 23 | 2018-12-16 | 45 days | |
GC7ZNJR | |
Der Fleckelanzug |
| 24 | 2019-01-07 | 22 days |  |
GC800QA | |
Geomorfologia del Cabo |
| 25 | 2019-02-15 | 39 days | |
GC8386T | |
PODBIELSKI-DAMM XII |
| 26 | 2019-02-15 | 0 days | |
GC832KT | |
PODBIELSKI-DAMM VIII |
| 27 | 2019-02-15 | 0 days | |
GC831WF | |
PODBIELSKI-DAMM I |
| 28 | 2019-02-15 | 0 days | |
GC831WV | |
PODBIELSKI-DAMM III |
| 29 | 2019-03-21 | 34 days | |
GC84MF5 | |
Erdmännchen heulte 5 Jahre den Vollmond an! (#63) |
| 30 | 2019-04-06 | 16 days | |
GC85NJG | |
Großer Müggelberg - Berlins höchster Cache |
| 31 | 2019-04-14 | 8 days |  |
GC4A63Z | |
Pa Tad Waterfall |
| 32 | 2019-04-15 | 1 day | |
GC4A64T | |
Jokradin Waterfall |
| 33 | 2019-04-15 | 0 days | |
GC4A64P | |
Khao Chang Phuak Viewpoint |
| 34 | 2019-04-15 | 0 days | |
GC4A64E | |
Vajiralongkorn Dam เขื่อนวชิราลงกรณ |
| 35 | 2019-04-17 | 2 days | |
GC80XK6 | |
Wat Tha Phak |
| 36 | 2019-04-19 | 2 days | |
GC82F4X | |
Sabai River Trail - Doi Lo Weir II |
| 37 | 2019-04-20 | 1 day | |
GC859NQ | |
On the Road to the Hill Tribes |
| 38 | 2019-04-23 | 3 days | |
GC82N46 | |
Lom Sak Museum |
| 39 | 2019-04-23 | 0 days | |
GC82N5G | |
Wat Thung Chan Samut |
| 40 | 2019-05-01 | 8 days | |
GC859PP | |
Visiting the Indigenous White Karen Hill Tribes |
| 41 | 2019-06-24 | 54 days | |
GC89DZ9 | |
Október 23. Tér |
| 42 | 2019-06-26 | 2 days | |
GC87V6V | |
Coloana Infinitului |
| 43 | 2019-06-29 | 3 days | |
GC89RX8 | |
A2 km 20 East |
| 44 | 2019-06-29 | 0 days | |
GC89T0J | |
A2 km 66 East |
| 45 | 2019-06-29 | 0 days | |
GC89T20 | |
A2 km 88 East |
| 46 | 2019-06-29 | 0 days | |
GC89T2F | |
A2 km 99 East |
| 47 | 2019-06-29 | 0 days | |
GC89T3J | |
A2 km 120 East |
| 48 | 2019-06-29 | 0 days | |
GC89T4K | |
A2 km 140 East |
| 49 | 2019-07-03 | 4 days | |
GC89T5J | |
Fabrica de Țigarete din Iași |
| 50 | 2019-07-05 | 2 days | |
GC7D3R2 | |
LUS 7 |
| 51 | 2019-07-13 | 8 days | |
GC87PKK | |
Crasna trail - The first one is called Smelly |
| 52 | 2019-07-13 | 0 days | |
GC87PM7 | |
Crasna trail - The one behind the bench |
| 53 | 2019-07-13 | 0 days | |
GC87PMY | |
Crasna trail - The Discharger |
| 54 | 2019-07-13 | 0 days | |
GC87PPT | |
Crasna trail - The one who loves the shadows |
| 55 | 2019-07-13 | 0 days | |
GC87PQG | |
Crasna trail - The one who gives you chills |
| 56 | 2019-07-13 | 0 days | |
GC87PBP | |
Ioan Ossian |
| 57 | 2019-07-13 | 0 days | |
GC87PFV | |
Biserica reformată din Şimleu Silvaniei |
| 58 | 2019-07-13 | 0 days | |
GC87TB7 | |
Báthori Castle |
| 59 | 2019-07-13 | 0 days | |
GC8A074 | |
The Báthory Crest |
| 60 | 2019-07-13 | 0 days | |
GC8810N | |
Şimleul istoric |
| 61 | 2019-07-13 | 0 days | |
GC87TGH | |
Central Park |
| 62 | 2019-07-13 | 0 days | |
GC87PNA | |
Crasna trail - The wired |
| 63 | 2019-07-13 | 0 days | |
GC87PNV | |
Crasna trail - The one who fled the scene |
| 64 | 2019-07-27 | 14 days |  |
GC7Z0RH | |
Czerwony #114 (WK-184) |
| 65 | 2019-07-28 | 1 day | |
GC7Z06K | |
Czerwony #102 (WK-184) - Pruśce |
| 66 | 2019-08-01 | 4 days | |
GC7Z0R4 | |
Czerwony #113 (WK-184) - jez. Wiatrowskie |
| 67 | 2019-08-31 | 30 days | |
GC8CVDC | |
Angeln im Spreewald 6 |
| 68 | 2019-08-31 | 0 days | |
GC8CVDD | |
Angeln im Spreewald 7 |
| 69 | 2019-08-31 | 0 days | |
GC8CVDF | |
Angeln im Spreewald 8 |
| 70 | 2019-09-30 | 30 days | |
GC7CGJZ | |
LUS 2 |
| 71 | 2020-08-20 | 325 days | |
GC8XY4N | |
DiA #1 Street Art Gallery |
| 72 | 2020-08-20 | 0 days | |
GC8XY58 | |
DiA Street Art Gallery |
| 73 | 2022-05-11 | 629 days | |
GC9RK4F | |
Miradouro do Cerrado das Freiras |
| 74 | 2022-05-26 | 15 days | |
GC9TYZY | |
KANDEL - PASSHÖHE |
| 75 | 2022-07-30 | 65 days | |
GC9XN2A | |
Merkur |
| 76 | 2022-09-18 | 50 days | |
GC9ZVMB | |
CCE - Cache |
| 77 | 2022-10-31 | 43 days | |
GCA1AYN | |
Das Horror-Haus |
| 78 | 2022-12-01 | 31 days | |
GCA2DZY | |
Cache Kalender 2022 #1 |
| 79 | 2022-12-04 | 3 days | |
GCA1XPZ | |
Advent(ure) 2022 #04 |
| 80 | 2022-12-06 | 2 days | |
GCA2BDY | |
Advent(ure) 2022 #06 |
| 81 | 2022-12-18 | 12 days | |
GCA1XT6 | |
Advent(ure) 2022 #18 |
| 82 | 2022-12-23 | 5 days | |
GCA1WKB | |
Advent(ure) 2022 # 23 |
| 83 | 2022-12-23 | 0 days | |
GC8HJTM |  |
Advent(ure) 2022 - Warten auf den Weihnachtsmann |
| 84 | 2022-12-24 | 1 day | |
GCA34GP | |
Advent(ure) 2022 #24 |
Statistics produced with Project-GC
Inspired by FindStatGen, a macro for GSAK
All credits for the idea should go to the author of FindStatGen
ralf_de has received 2809 found logs
on 29 hidden geocaches, by 2063 geocachers
Data from 2023-01-12
Cumulative finds of my caches
Caching karma
Owned caches statistics
| Owned: | 29, 16 now archived (55.17%) |
| Total finds of my caches: | 2809 finds in 943 total days, 1.44/day, 10.03/week, 43.22/month |
| Total unique finders of my caches: | 2063 |
| Events hosted: | 16 on 16 unique dates, 69 unique visitors from 7 unique countries |
| Most Northerly cache hidden | N 54° 15.790, Biber auf Reisen - Meer und Mensch - Graal-Müritz GC93TJW |
| Most Southerly cache hidden | N 35° 11.409, Hello Agios Nikolaos GCA0V8W |
| Most Westerly cache hidden | E 011° 24.644, Een Köpenicka uff tour - Munich GC8KWNM |
| Most Easterly cache hidden | E 025° 43.024, Hello Agios Nikolaos GCA0V8W |
| Highest elevated cache hidden: | 549 m, Biber on Tour - Flächennaturdenkmal Richterbusch GC9YGZD |
| Lowest elevated cache hidden: | 3 m, Biber auf Reisen - Meer und Mensch - Graal-Müritz GC93TJW |
| Hide with the most finds: | 712, Biberbau an der (ehemaligen) Eichhörnchenbrücke, GC7BTNA |
| Hide with the most finds in a day: | 21, Invalidenpark #8 - ralf_de's 10.000ster, GCA2N8G, on 2023-01-12 |
| Hide with the most favorite points: | 19, Biberbau an der (ehemaligen) Eichhörnchenbrücke, GC7BTNA |
| Hide found most frequently: | Every 0.81 days, Cache-Kalender 2022 #23, GCA2285 |
| Total finds I've made: | 8312 |
| Caching karma (#hides/#finds): | 0.34 (2809/8312) |
| Caching karma (#FP earned/#finds): | 0.00 (29/8312) |
| Day with the most found logs received: | 2022-08-20, 30 finds |
| Total favorite points received: | 29 (1.2%) |
| Log length, words: | Average: 32, Longest: GC9HQ07 534 |
| Life-time on hides | Average: 613 days, Longest: 1956 days (excluding events) |
| Life-time on archived hides | Average: 579 days, Longest: 579 days (excluding events) |
Logs received
2063 geocachers have made 2809 finds on 29 geocaches owned by ralf_de
| Hidden | Last found | Finds | Days/Find | FP | GCCode | Cache name | ||
|---|---|---|---|---|---|---|---|---|
| 2017-09-04 | 2022-11-14 | 712 | 2.7 | 19 | |
GC7BTNA | |
Biberbau an der (ehemaligen) Eichhörnchenbrücke |
| 2018-03-17 | 2023-01-08 | 152 | 11.6 | 6 | |
GC7KP0M | |
Beaver on Ice |
| 2019-10-02 | 2019-10-02 | 3 | - | - | |
GC8DGJB | |
|
| 2020-03-11 | 2020-03-11 | 13 | - | - | |
GC8KWNM | |
|
| 2020-11-27 | 2022-12-29 | 144 | 5.4 | 0 | |
GC93CWN | |
Biber on Tour - Ankunft in Niederzwönitz |
| 2020-11-28 | 2022-12-27 | 165 | 4.7 | 0 | |
GC93CX2 | |
Biber on Tour - Abzweig Zwönitzer Gasse |
| 2020-11-29 | 2023-01-11 | 168 | 4.6 | 0 | |
GC93CXK | |
Biber on Tour - Wellness in Zwönitz |
| 2021-03-10 | 2022-07-21 | 305 | 1.6 | 0 | |
GC97GZW | |
|
| 2021-05-26 | 2023-01-08 | 557 | 1.1 | 2 | |
GC93TJW | |
Biber auf Reisen - Meer und Mensch - Graal-Müritz |
| 2021-06-09 | 2022-12-29 | 33 | 17.7 | 0 | |
GC9CG75 | |
Biber on Tour - Bonus Zwönitz |
| 2021-10-27 | 2022-12-25 | 174 | 2.5 | 0 | |
GC9HQ07 | |
Photos wanted - Bibers neues Revier - Helling Hof |
| 2022-06-14 | 2023-01-08 | 51 | 4.2 | 0 | |
GC9YGZ4 | |
Biber on Tour - Oberer Halsbach |
| 2022-07-14 | 2023-01-12 | 65 | 2.8 | 0 | |
GC9YGZD | |
Biber on Tour - Flächennaturdenkmal Richterbusch |
| 2022-08-14 | 2023-01-06 | 49 | 3.1 | 0 | |
GC9YGZP | |
Biber on Tour - Kleine Brücke |
| 2022-09-02 | 2022-09-02 | 10 | - | - | |
GC9Y2QX | |
|
| 2022-09-15 | 2022-09-15 | 6 | - | - | |
GC9Y2R2 | |
|
| 2022-09-22 | 2022-09-22 | 12 | - | - | |
GC9Y2R5 | |
|
| 2022-09-29 | 2022-09-29 | 16 | - | - | |
GC9ZAQX | |
|
| 2022-10-11 | 2022-10-11 | 11 | - | - | |
GCA09PW | |
|
| 2022-10-26 | 2022-10-26 | 8 | - | - | |
GCA0V9Q | |
|
| 2022-11-03 | 2022-11-03 | 3 | - | - | |
GCA0V8W | |
|
| 2022-11-14 | 2022-11-14 | 2 | - | - | |
GCA0V90 | |
|
| 2022-11-18 | 2022-11-18 | 12 | - | - | |
GCA1600 | |
|
| 2022-11-23 | 2023-01-11 | 63 | 0.8 | 2 | |
GCA2285 | |
Cache-Kalender 2022 #23 |
| 2022-11-30 | 2022-11-30 | 13 | - | - | |
GCA226N | |
|
| 2022-12-13 | 2022-12-13 | 12 | - | - | |
GCA2JDJ | |
|
| 2022-12-27 | 2022-12-27 | 14 | - | - | |
GCA2N8B | |
|
| 2023-01-03 | 2023-01-03 | 15 | - | - | |
GCA2N8E | |
|
| 2023-01-12 | 2023-01-12 | 21 | - | - | |
GCA2N8G | |
Invalidenpark #8 - ralf_de's 10.000ster |
Finders by country
|
|
There also was 1 find from an unknown nationality
Top finders of my caches
|
|
| These didn't make it to the top: | ||||||||||||||||||||
|
Placed by type
| Type | Amount | Percent | |
|---|---|---|---|
| Event | 16 | 55.17% | |
| Traditional | 10 | 34.48% | |
| Unknown | 2 | 6.90% | |
| Wherigo | 1 | 3.45% |
Placed by type
Placed by size
| Type | Amount | Percent | |
|---|---|---|---|
| Other | 16 | 55.17% | |
| Micro | 12 | 41.38% | |
| Small | 1 | 3.45% |
Placed by size
Placed by difficulty rating
| Difficulty | Amount | Percent | |
|---|---|---|---|
| 1.0 | 17 | 58.62% | |
| 1.5 | 3 | 10.34% | |
| 2.0 | 5 | 17.24% | |
| 2.5 | 2 | 6.90% | |
| 3.0 | 1 | 3.45% | |
| 3.5 | 0 | 0% | |
| 4.0 | 0 | 0% | |
| 4.5 | 1 | 3.45% | |
| 5.0 | 0 | 0% |
Placed by difficulty rating
Placed by terrain rating
| Terrain | Amount | Percent | |
|---|---|---|---|
| 1.0 | 3 | 10.34% | |
| 1.5 | 5 | 17.24% | |
| 2.0 | 6 | 20.69% | |
| 2.5 | 7 | 24.14% | |
| 3.0 | 2 | 6.90% | |
| 3.5 | 2 | 6.90% | |
| 4.0 | 2 | 6.90% | |
| 4.5 | 1 | 3.45% | |
| 5.0 | 1 | 3.45% |
Placed by terrain rating
Placed caches difficulty / terrain chart
| Terrain | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Difficulty | 1.0 | 1.5 | 2.0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 | 5.0 | ||
| 1.0 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 1 | 1 | 17 | |
| 1.5 | 1 | 1 | 1 | 3 | |||||||
| 2.0 | 1 | 1 | 2 | 1 | 5 | ||||||
| 2.5 | 1 | 1 | 2 | ||||||||
| 3.0 | 1 | 1 | |||||||||
| 3.5 | 0 | ||||||||||
| 4.0 | 0 | ||||||||||
| 4.5 | 1 | 1 | |||||||||
| 5.0 | 0 | ||||||||||
| 3 | 5 | 6 | 7 | 2 | 2 | 2 | 1 | 1 | 29 | ||
20 Diff/Terr combinations hidden, out of 81
10 (34.5%) hides were rated with Diff or Terr of 3 or greater
Placed caches by hidden date
| Date | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | ||
| Jan | 1 | 1 | 2 | |||||||||||||||||||||||||||||
| Feb | X | X | 0 | |||||||||||||||||||||||||||||
| Mar | 1 | 1 | 1 | 3 | ||||||||||||||||||||||||||||
| Apr | X | 0 | ||||||||||||||||||||||||||||||
| May | 1 | 1 | ||||||||||||||||||||||||||||||
| Jun | 1 | 1 | X | 2 | ||||||||||||||||||||||||||||
| Jul | 1 | 1 | ||||||||||||||||||||||||||||||
| Aug | 1 | 1 | ||||||||||||||||||||||||||||||
| Sep | 1 | 1 | 1 | 1 | 1 | X | 5 | |||||||||||||||||||||||||
| Oct | 1 | 1 | 1 | 1 | 4 | |||||||||||||||||||||||||||
| Nov | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | X | 8 | ||||||||||||||||||||||
| Dec | 1 | 1 | 2 | |||||||||||||||||||||||||||||
| 0 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | 1 | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 3 | 1 | 2 | 1 | 0 | ||
29 hidden dates, out of 366 (7.9%)
Placed caches by found date
| Date | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | ||
| Jan | 12 | 16 | 17 | 7 | 6 | 7 | 7 | 10 | 8 | 1 | 4 | 26 | 6 | 1 | 2 | 7 | 2 | 1 | 5 | 6 | 3 | 4 | 3 | 2 | 5 | 1 | 5 | 2 | 8 | 2 | 186 | |
| Feb | 1 | 4 | 4 | 3 | 5 | 1 | 4 | 5 | 3 | 3 | 1 | 3 | 5 | 6 | 4 | 3 | 3 | 3 | 3 | 7 | 1 | 3 | 1 | 5 | 1 | 1 | 5 | 3 | 1 | X | X | 92 |
| Mar | 12 | 12 | 9 | 7 | 15 | 32 | 15 | 4 | 7 | 15 | 17 | 11 | 20 | 13 | 9 | 4 | 6 | 1 | 2 | 39 | 17 | 7 | 16 | 8 | 18 | 10 | 14 | 13 | 6 | 14 | 373 | |
| Apr | 13 | 5 | 6 | 11 | 5 | 3 | 8 | 4 | 11 | 21 | 14 | 7 | 11 | 10 | 6 | 3 | 6 | 19 | 9 | 8 | 10 | 3 | 7 | 8 | 22 | 8 | 7 | 5 | 5 | 7 | X | 262 |
| May | 21 | 5 | 5 | 5 | 2 | 5 | 10 | 6 | 11 | 9 | 8 | 10 | 8 | 7 | 12 | 7 | 13 | 5 | 5 | 5 | 11 | 8 | 17 | 9 | 6 | 11 | 8 | 4 | 12 | 5 | 250 | |
| Jun | 7 | 3 | 6 | 1 | 9 | 19 | 7 | 5 | 5 | 3 | 2 | 10 | 10 | 6 | 11 | 6 | 2 | 1 | 8 | 12 | 5 | 6 | 4 | 4 | 13 | 2 | 6 | 5 | 6 | 3 | X | 187 |
| Jul | 4 | 3 | 9 | 7 | 5 | 3 | 7 | 5 | 9 | 10 | 5 | 8 | 10 | 4 | 10 | 15 | 11 | 6 | 4 | 6 | 3 | 8 | 8 | 11 | 6 | 6 | 5 | 5 | 3 | 7 | 203 | |
| Aug | 7 | 12 | 6 | 5 | 11 | 5 | 5 | 15 | 9 | 6 | 4 | 10 | 12 | 3 | 8 | 4 | 7 | 8 | 3 | 42 | 20 | 22 | 9 | 9 | 9 | 9 | 7 | 9 | 9 | 5 | 12 | 302 |
| Sep | 3 | 15 | 1 | 15 | 8 | 18 | 13 | 9 | 3 | 12 | 14 | 22 | 1 | 11 | 11 | 7 | 1 | 12 | 13 | 4 | 3 | 18 | 12 | 4 | 14 | 6 | 1 | 8 | 21 | 14 | X | 294 |
| Oct | 8 | 14 | 4 | 7 | 5 | 10 | 11 | 5 | 11 | 9 | 19 | 1 | 6 | 6 | 20 | 6 | 8 | 7 | 7 | 6 | 10 | 13 | 4 | 11 | 9 | 17 | 7 | 3 | 2 | 5 | 17 | 268 |
| Nov | 7 | 8 | 12 | 8 | 1 | 14 | 3 | 8 | 4 | 3 | 7 | 16 | 16 | 14 | 1 | 3 | 3 | 13 | 1 | 9 | 3 | 3 | 4 | 4 | 3 | 3 | 12 | 6 | 1 | 18 | X | 208 |
| Dec | 3 | 1 | 7 | 3 | 4 | 4 | 4 | 1 | 3 | 3 | 2 | 6 | 12 | 1 | 1 | 1 | 1 | 4 | 1 | 4 | 6 | 5 | 7 | 11 | 10 | 4 | 21 | 12 | 14 | 19 | 9 | 184 |
| 98 | 98 | 86 | 79 | 76 | 118 | 90 | 79 | 80 | 94 | 94 | 125 | 117 | 89 | 84 | 66 | 61 | 93 | 63 | 146 | 89 | 91 | 74 | 99 | 114 | 80 | 94 | 83 | 83 | 100 | 66 | ||
362 found dates, out of 366 (98.9%)
Placed caches found by month
| Month | Amount | Percent | |
|---|---|---|---|
| January | 186 | 6.62% | |
| February | 92 | 3.28% | |
| March | 373 | 13.28% | |
| April | 262 | 9.33% | |
| May | 250 | 8.90% | |
| June | 187 | 6.66% | |
| July | 203 | 7.23% | |
| August | 302 | 10.75% | |
| September | 294 | 10.47% | |
| October | 268 | 9.54% | |
| November | 208 | 7.40% | |
| December | 184 | 6.55% |
Placed caches found by month
Placed caches found by weekday
| Weekday | Amount | Percent | |
|---|---|---|---|
| Monday | 309 | 11.00% | |
| Tuesday | 352 | 12.53% | |
| Wednesday | 306 | 10.89% | |
| Thursday | 319 | 11.36% | |
| Friday | 330 | 11.75% | |
| Saturday | 551 | 19.62% | |
| Sunday | 642 | 22.86% |
Placed caches found by weekday
1193 Weekend finds (42.5%), 1616 Weekday finds (57.5%)
Hidden attributes
4 |
5 |
1 |
5 |
7 |
10 |
 0 |
1 |
8 |
3 |
 0 |
7 |
5 |
4 |
2 |
3 |
10 |
 0 |
1 |
5 |
1 |
 0 |
2 |
 0 |
 0 |
1 |
1 |
4 |
0 |
8 |
8 |
2 |
 0 |
1 |
2 |
 0 |
6 |
 0 |
7 |
11 |
0 |
1 |
1 |
2 |
1 |
3 |
1 |
1 |
4 |
5 |
5 |
1 |
2 |
19 |
1 |
6 |
2 |
3 |
8 |
14 |
3 |
1 |
 0 |
6 |
1 |
2 |
10 |
6 |
 0 |
4 |
Positive attributes: 57 out of 70 hidden (81.4%)
3 |
3 |
1 |
1 |
2 |
2 |
1 |
2 |
2 |
 0 |
2 |
3 |
1 |
7 |
3 |
1 |
3 |
1 |
2 |
2 |
3 |
3 |
1 |
1 |
1 |
1 |
4 |
2 |
1 |
2 |
3 |
2 |
2 |
1 |
1 |
6 |
3 |
2 |
2 |
3 |
1 |
Negative attributes: 40 out of 41 hidden (97.6%)
Statistics produced with Project-GC
Inspired by FindStatGen, a macro for GSAK
All credits for the idea should go to the author of FindStatGen
ralf_de has logged 8312 different geocaches,
plus 1688 lab caches, a total of 10000 unique finds
Data from 2023-01-12
World map
93 of 250 countries logged
|
Germany: 6117 (1%) |
Ecuador: 8 (6%) |
Kenya: 2 (0%) |
|
Portugal: 252 (0%) |
Argentina: 7 (0%) |
Paraguay: 1 (3%) |
|
Greece: 252 (4%) |
Cabo Verde: 7 (10%) |
Guadeloupe: 1 (0%) |
|
Ireland: 246 (2%) |
Peru: 5 (1%) |
South Korea: 1 (0%) |
|
Romania: 152 (2%) |
Malta: 5 (1%) |
Singapore: 1 (0%) |
|
Spain: 144 (0%) |
Japan: 5 (0%) |
Saint Vincent and the Grenadines: 1 (6%) |
|
Switzerland: 122 (0%) |
Egypt: 4 (1%) |
Malaysia: 1 (0%) |
|
Poland: 111 (0%) |
Jordan: 4 (3%) |
Latvia: 1 (0%) |
|
France: 87 (0%) |
Bolivia: 4 (4%) |
Macao: 1 (1%) |
|
United Kingdom: 66 (0%) |
Sri Lanka: 4 (7%) |
Vietnam: 1 (0%) |
|
South Africa: 65 (0%) |
Chile: 3 (0%) |
Faroe Islands: 1 (0%) |
|
Czechia: 61 (0%) |
Belgium: 3 (0%) |
Taiwan: 1 (0%) |
|
Thailand: 58 (3%) |
Bulgaria: 3 (0%) |
Bosnia and Herzegovina: 1 (0%) |
|
Namibia: 58 (16%) |
Finland: 3 (0%) |
Ukraine: 1 (0%) |
|
Denmark: 46 (0%) |
Brazil: 3 (0%) |
Myanmar: 1 (2%) |
|
United States: 40 (0%) |
Luxembourg: 3 (0%) |
Montenegro: 1 (0%) |
|
Slovakia: 38 (0%) |
Cyprus: 3 (0%) |
Saint Lucia: 1 (5%) |
|
Austria: 37 (0%) |
Estonia: 3 (0%) |
Tanzania: 1 (0%) |
|
Hungary: 33 (0%) |
Botswana: 3 (3%) |
Aland Islands: 1 (0%) |
|
Jersey: 32 (11%) |
Qatar: 3 (0%) |
North Macedonia: 1 (0%) |
|
Liechtenstein: 22 (7%) |
Laos: 2 (8%) |
San Marino: 1 (2%) |
|
Iceland: 21 (2%) |
Russia: 2 (0%) |
Cambodia: 1 (1%) |
|
Belarus: 21 (11%) |
Slovenia: 2 (0%) |
Vatican City State: 1 (6%) |
|
Italy: 19 (0%) |
United Arab Emirates: 2 (0%) |
Morocco: 1 (0%) |
|
Isle of Man: 14 (1%) |
Hong Kong: 2 (0%) |
Martinique: 1 (0%) |
|
Australia: 12 (0%) |
Antarctica: 2 (4%) |
Mongolia: 1 (0%) |
|
Guernsey: 10 (2%) |
Moldova: 2 (2%) |
Croatia: 1 (0%) |
|
Canada: 10 (0%) |
Lithuania: 2 (0%) |
Türkiye: 1 (0%) |
|
Netherlands: 9 (0%) |
Uruguay: 2 (4%) |
Albania: 1 (0%) |
|
Israel: 9 (0%) |
Sweden: 2 (0%) |
Norway: 1 (0%) |
|
Zimbabwe: 8 (3%) |
Zambia: 2 (5%) |
Serbia: 1 (0%) |
Europe
49 of 55 countries logged
|
Germany: 6117 (1%) |
Belarus: 21 (11%) |
Slovenia: 2 (0%) |
|
Portugal: 252 (0%) |
Iceland: 21 (2%) |
Vatican City State: 1 (6%) |
|
Greece: 252 (4%) |
Italy: 19 (0%) |
Norway: 1 (0%) |
|
Ireland: 246 (2%) |
Isle of Man: 14 (1%) |
Faroe Islands: 1 (0%) |
|
Romania: 152 (2%) |
Guernsey: 10 (2%) |
Aland Islands: 1 (0%) |
|
Spain: 144 (0%) |
Netherlands: 9 (0%) |
Türkiye: 1 (0%) |
|
Switzerland: 122 (0%) |
Malta: 5 (1%) |
Albania: 1 (0%) |
|
Poland: 111 (0%) |
Luxembourg: 3 (0%) |
Croatia: 1 (0%) |
|
France: 87 (0%) |
Belgium: 3 (0%) |
Serbia: 1 (0%) |
|
United Kingdom: 66 (0%) |
Bulgaria: 3 (0%) |
Latvia: 1 (0%) |
|
Czechia: 61 (0%) |
Estonia: 3 (0%) |
Ukraine: 1 (0%) |
|
Denmark: 46 (0%) |
Cyprus: 3 (0%) |
Bosnia and Herzegovina: 1 (0%) |
|
Slovakia: 38 (0%) |
Finland: 3 (0%) |
North Macedonia: 1 (0%) |
|
Austria: 37 (0%) |
Lithuania: 2 (0%) |
Montenegro: 1 (0%) |
|
Hungary: 33 (0%) |
Moldova: 2 (2%) |
San Marino: 1 (2%) |
|
Jersey: 32 (11%) |
Sweden: 2 (0%) |
|
|
Liechtenstein: 22 (7%) |
Russia: 2 (0%) |
Asia
22 of 53 countries logged
|
Thailand: 58 (3%) |
Hong Kong: 2 (0%) |
Singapore: 1 (0%) |
|
Israel: 9 (0%) |
Laos: 2 (8%) |
Mongolia: 1 (0%) |
|
Japan: 5 (0%) |
United Arab Emirates: 2 (0%) |
Macao: 1 (1%) |
|
Sri Lanka: 4 (7%) |
Russia: 2 (0%) |
Taiwan: 1 (0%) |
|
Egypt: 4 (1%) |
Vietnam: 1 (0%) |
Myanmar: 1 (2%) |
|
Jordan: 4 (3%) |
Cambodia: 1 (1%) |
Türkiye: 1 (0%) |
|
Cyprus: 3 (0%) |
South Korea: 1 (0%) |
|
|
Qatar: 3 (0%) |
Malaysia: 1 (0%) |
Africa
10 of 59 countries logged
|
South Africa: 65 (0%) |
Egypt: 4 (1%) |
Tanzania: 1 (0%) |
|
Namibia: 58 (16%) |
Botswana: 3 (3%) |
Morocco: 1 (0%) |
|
Zimbabwe: 8 (3%) |
Zambia: 2 (5%) |
|
|
Cabo Verde: 7 (10%) |
Kenya: 2 (0%) |
South America
8 of 15 countries logged
|
Ecuador: 8 (6%) |
Bolivia: 4 (4%) |
Uruguay: 2 (4%) |
|
Argentina: 7 (0%) |
Chile: 3 (0%) |
Paraguay: 1 (3%) |
|
Peru: 5 (1%) |
Brazil: 3 (0%) |
North America
6 of 40 countries logged
|
United States: 40 (0%) |
Saint Vincent and the Grenadines: 1 (6%) |
Guadeloupe: 1 (0%) |
|
Canada: 10 (0%) |
Martinique: 1 (0%) |
Saint Lucia: 1 (5%) |
Oceania
1 of 27 countries logged
|
Australia: 12 (0%) |
Antarctic and subantarctic islands
1 of 5 countries logged
|
Antarctica: 2 (4%) |
Germany
Regions
Counties
Berlin
Bayern
Brandenburg
Hessen
Niedersachsen
Sachsen
Baden-Württemberg
Thüringen
Nordrhein-Westfalen
Schleswig-Holstein
Mecklenburg-Vorpommern
Sachsen-Anhalt
Rheinland-Pfalz
Bremen
Hamburg
Saarland
16 of 16 regions logged
Top 30
| • Berlin: 1769 (33%) | • Baden-Württemberg: 225 (0%) | • Rheinland-Pfalz: 49 (0%) |
| • Bayern: 1184 (1%) | • Thüringen: 142 (0%) | • Bremen: 19 (1%) |
| • Brandenburg: 1063 (5%) | • Nordrhein-Westfalen: 125 (0%) | • Hamburg: 12 (0%) |
| • Hessen: 618 (1%) | • Schleswig-Holstein: 106 (0%) | • Saarland: 6 (0%) |
| • Niedersachsen: 338 (0%) | • Mecklenburg-Vorpommern: 103 (0%) | |
| • Sachsen: 262 (0%) | • Sachsen-Anhalt: 96 (0%) |
400 of 400 counties logged
Top 30
| • Berlin: 1769 (33%) | • Kassel (Lkr): 69 (3%) | • Barnim: 38 (1%) |
| • München: 436 (33%) | • Nienburg/Weser (Lkr): 51 (4%) | • Sächsische Schweiz-Osterzgebirge: 37 (0%) |
| • Waldeck-Frankenberg (Lkr): 384 (14%) | • Teltow-Fläming: 50 (3%) | • Miesbach (Lkr): 33 (5%) |
| • Oberhavel: 209 (10%) | • Wartburgkreis: 45 (3%) | • Prignitz: 33 (4%) |
| • Märkisch-Oderland: 207 (12%) | • Nordfriesland: 45 (2%) | • Fürstenfeldbruck (Lkr): 32 (6%) |
| • Region Hannover: 183 (3%) | • Hochsauerlandkreis: 45 (2%) | • Ostprignitz-Ruppin: 29 (3%) |
| • Dahme-Spreewald: 177 (11%) | • Kulmbach (Lkr): 42 (5%) | • Dachau (Lkr): 29 (5%) |
| • Oder-Spree: 152 (8%) | • Schleswig-Flensburg: 40 (1%) | • Erding (Lkr): 28 (4%) |
| • München (Lkr): 132 (11%) | • Schwalm-Eder-Kreis: 40 (1%) | • Potsdam-Mittelmark: 28 (2%) |
| • Erzgebirgskreis: 125 (2%) | • Schwarzwald-Baar-Kreis: 40 (3%) | • Neu-Ulm (Lkr): 27 (3%) |
1 of 1 counties logged
Top 30
| • Berlin: 1769 (33%) |
96 of 96 counties logged
Top 30
| • München: 436 (33%) | • Freising (Lkr): 20 (3%) | • Weilheim-Schongau (Lkr): 11 (1%) |
| • München (Lkr): 132 (11%) | • Bad Tölz-Wolfratshausen (Lkr): 19 (2%) | • Landshut (Lkr): 9 (1%) |
| • Kulmbach (Lkr): 42 (5%) | • Mühldorf am Inn (Lkr): 17 (3%) | • Augsburg: 9 (1%) |
| • Miesbach (Lkr): 33 (5%) | • Günzburg (Lkr): 16 (2%) | • Coburg: 9 (6%) |
| • Fürstenfeldbruck (Lkr): 32 (6%) | • Ebersberg (Lkr): 16 (3%) | • Coburg (Lkr): 8 (1%) |
| • Dachau (Lkr): 29 (5%) | • Bamberg (Lkr): 16 (2%) | • Regensburg: 8 (2%) |
| • Erding (Lkr): 28 (4%) | • Aichach-Friedberg (Lkr): 13 (1%) | • Rhön-Grabfeld (Lkr): 8 (0%) |
| • Neu-Ulm (Lkr): 27 (3%) | • Würzburg: 12 (3%) | • Kitzingen (Lkr): 8 (1%) |
| • Starnberg (Lkr): 26 (6%) | • Landsberg am Lech (Lkr): 12 (2%) | • Lindau (Lkr): 7 (1%) |
| • Bayreuth (Lkr): 24 (1%) | • Garmisch-Partenkirchen (Lkr): 12 (1%) | • Rosenheim (Lkr): 6 (0%) |
18 of 18 counties logged
Top 30
| • Oberhavel: 209 (10%) | • Prignitz: 33 (4%) | • Oberspreewald-Lausitz: 16 (1%) |
| • Märkisch-Oderland: 207 (12%) | • Ostprignitz-Ruppin: 29 (3%) | • Spree-Neiße: 15 (1%) |
| • Dahme-Spreewald: 177 (11%) | • Potsdam-Mittelmark: 28 (2%) | • Frankfurt (Oder): 14 (5%) |
| • Oder-Spree: 152 (8%) | • Potsdam: 25 (3%) | • Cottbus: 14 (2%) |
| • Teltow-Fläming: 50 (3%) | • Uckermark: 23 (1%) | • Elbe-Elster: 9 (1%) |
| • Barnim: 38 (1%) | • Havelland: 20 (2%) | • Brandenburg an der Havel: 4 (1%) |
26 of 26 counties logged
Top 30
| • Waldeck-Frankenberg (Lkr): 384 (14%) | • Frankfurt am Main: 5 (0%) | • Wiesbaden: 1 (0%) |
| • Kassel (Lkr): 69 (3%) | • Darmstadt-Dieburg (Lkr): 5 (0%) | • Wetteraukreis: 1 (0%) |
| • Schwalm-Eder-Kreis: 40 (1%) | • Vogelsbergkreis: 2 (0%) | • Offenbach am Main: 1 (0%) |
| • Werra-Meißner-Kreis: 20 (1%) | • Main-Taunus-Kreis: 2 (0%) | • Marburg-Biedenkopf (Lkr): 1 (0%) |
| • Hersfeld-Rotenburg (Lkr): 19 (0%) | • Offenbach (Lkr): 2 (0%) | • Limburg-Weilburg (Lkr): 1 (0%) |
| • Darmstadt: 17 (3%) | • Odenwaldkreis: 2 (0%) | • Lahn-Dill-Kreis: 1 (0%) |
| • Fulda (Lkr): 15 (1%) | • Groß-Gerau (Kr): 2 (0%) | • Gießen (Lkr): 1 (0%) |
| • Bergstraße (Kr): 14 (0%) | • Rheingau-Taunus-Kreis: 1 (0%) | • Hochtaunuskreis: 1 (0%) |
| • Kassel: 10 (1%) | • Main-Kinzig-Kreis: 1 (0%) |
45 of 45 counties logged
Top 30
| • Region Hannover: 183 (3%) | • Peine (Lkr): 2 (0%) | • Diepholz (Lkr): 1 (0%) |
| • Nienburg/Weser (Lkr): 51 (4%) | • Lüneburg: 2 (0%) | • Wolfsburg: 1 (0%) |
| • Schaumburg (Lkr): 24 (2%) | • Wolfenbüttel (Lkr): 2 (0%) | • Wilhelmshaven: 1 (0%) |
| • Göttingen (Lkr): 11 (0%) | • Holzminden (Lkr): 2 (0%) | • Harburg: 1 (0%) |
| • Northeim (Lkr): 9 (0%) | • Delmenhorst: 2 (1%) | • Osnabrück: 1 (0%) |
| • Oldenburg: 5 (1%) | • Hameln-Pyrmont (Lkr): 2 (0%) | • Aurich (Lkr): 1 (0%) |
| • Braunschweig: 3 (0%) | • Leer (Lkr): 2 (0%) | • Rotenburg (Wümme) (Lkr): 1 (0%) |
| • Wittmund (Lkr): 3 (0%) | • Emden: 2 (1%) | • Ammerland (Lkr): 1 (0%) |
| • Goslar (Lkr): 3 (0%) | • Friesland (Lkr): 2 (0%) | • Osnabrück (Lkr): 1 (0%) |
| • Osterholz (Lkr): 2 (0%) | • Emsland (Lkr): 1 (0%) | • Helmstedt (Lkr): 1 (0%) |
13 of 13 counties logged
Top 30
| • Erzgebirgskreis: 125 (2%) | • Görlitz: 10 (0%) | • Leipzig: 5 (0%) |
| • Sächsische Schweiz-Osterzgebirge: 37 (0%) | • Nordsachsen: 9 (0%) | • Meißen: 4 (0%) |
| • Zwickau: 24 (1%) | • Leipzig (Lkr): 7 (0%) | • Bautzen: 2 (0%) |
| • Mittelsachsen: 15 (0%) | • Dresden: 7 (0%) | |
| • Vogtlandkreis: 11 (0%) | • Chemnitz: 6 (0%) |
44 of 44 counties logged
Top 30
| • Schwarzwald-Baar-Kreis: 40 (3%) | • Tuttlingen (Lkr): 5 (0%) | • Lörrach (Lkr): 3 (0%) |
| • Emmendingen (Lkr): 23 (2%) | • Rottweil (Lkr): 5 (0%) | • Karlsruhe: 3 (0%) |
| • Ulm: 16 (3%) | • Ravensburg (Lkr): 4 (0%) | • Ostalbkreis: 3 (0%) |
| • Esslingen (Lkr): 15 (0%) | • Baden-Baden: 4 (2%) | • Heilbronn (Lkr): 3 (0%) |
| • Biberach (Lkr): 12 (1%) | • Heidelberg: 4 (1%) | • Main-Tauber-Kreis: 2 (0%) |
| • Breisgau-Hochschwarzwald (Lkr): 11 (0%) | • Hohenlohekreis: 4 (0%) | • Bodenseekreis: 2 (0%) |
| • Reutlingen (Lkr): 11 (0%) | • Konstanz (Lkr): 3 (0%) | • Freudenstadt (Lkr): 2 (0%) |
| • Stuttgart: 7 (0%) | • Pforzheim: 3 (0%) | • Heidenheim (Lkr): 2 (0%) |
| • Freiburg im Breisgau: 7 (1%) | • Alb-Donau-Kreis: 3 (0%) | • Heilbronn: 2 (0%) |
| • Schwäbisch Hall (Lkr): 6 (0%) | • Sigmaringen (Lkr): 3 (0%) | • Rastatt (Lkr): 2 (0%) |
22 of 22 counties logged
Top 30
| • Wartburgkreis: 45 (3%) | • Saale-Orla-Kreis: 3 (0%) | • Sömmerda (Lkr): 1 (0%) |
| • Unstrut-Hainich-Kreis: 21 (2%) | • Schmalkalden-Meiningen (Lkr): 3 (0%) | • Weimarer Land (Lkr): 1 (0%) |
| • Suhl: 11 (2%) | • Greiz: 3 (0%) | • Jena: 1 (0%) |
| • Eichsfeld (Lkr): 10 (1%) | • Ilm-Kreis: 3 (0%) | • Sonneberg (Lkr): 1 (0%) |
| • Saale-Holzland-Kreis: 10 (1%) | • Erfurt: 2 (0%) | • Saalfeld-Rudolstadt (Lkr): 1 (0%) |
| • Hildburghausen (Lkr): 9 (1%) | • Gera: 1 (0%) | • Nordhausen (Lkr): 1 (0%) |
| • Gotha (Lkr): 8 (0%) | • Weimar: 1 (0%) | |
| • Altenburger Land: 5 (0%) | • Kyffhäuserkreis: 1 (0%) |
53 of 53 counties logged
Top 30
| • Hochsauerlandkreis: 45 (2%) | • Rhein-Erft-Kreis: 2 (0%) | • Olpe (Kr): 1 (0%) |
| • Münster: 7 (0%) | • Siegen-Wittgenstein (Kr): 2 (0%) | • Krefeld: 1 (0%) |
| • Höxter (Kr): 6 (0%) | • Warendorf (Kr): 1 (0%) | • Bochum: 1 (0%) |
| • Wuppertal: 5 (0%) | • Bielefeld: 1 (0%) | • Mülheim an der Ruhr: 1 (0%) |
| • Rhein-Sieg-Kreis: 4 (0%) | • Hagen: 1 (0%) | • Oberhausen: 1 (0%) |
| • Bonn: 3 (0%) | • Coesfeld (Kr): 1 (0%) | • Duisburg: 1 (0%) |
| • Düsseldorf: 3 (0%) | • Düren (Kr): 1 (0%) | • Oberbergischer Kreis: 1 (0%) |
| • Märkischer Kreis: 3 (0%) | • Viersen (Kr): 1 (0%) | • Essen: 1 (0%) |
| • Unna (Kr): 2 (0%) | • Remscheid: 1 (0%) | • Köln: 1 (0%) |
| • Minden-Lübbecke (Kr): 2 (0%) | • Mettmann (Kr): 1 (0%) | • Lippe (Kr): 1 (0%) |
15 of 15 counties logged
Top 30
| • Nordfriesland: 45 (2%) | • Herzogtum Lauenburg: 2 (0%) | • Kiel: 1 (0%) |
| • Schleswig-Flensburg: 40 (1%) | • Stormarn: 2 (0%) | • Dithmarschen: 1 (0%) |
| • Segeberg: 4 (0%) | • Neumünster: 1 (0%) | • Steinburg: 1 (0%) |
| • Rendsburg-Eckernförde: 3 (0%) | • Ostholstein: 1 (0%) | • Pinneberg: 1 (0%) |
| • Plön: 2 (0%) | • Lübeck: 1 (0%) | • Flensburg: 1 (0%) |
8 of 8 counties logged
Top 30
| • Rostock: 25 (4%) | • Vorpommern-Rügen: 19 (0%) | • Schwerin: 3 (0%) |
| • Rostock (Lkr): 24 (1%) | • Nordwestmecklenburg: 4 (0%) | • Vorpommern-Greifswald: 1 (0%) |
| • Mecklenburgische Seenplatte: 23 (0%) | • Ludwigslust-Parchim: 4 (0%) |
14 of 14 counties logged
Top 30
| • Wittenberg: 24 (1%) | • Jerichower Land: 5 (0%) | • Halle (Saale): 2 (0%) |
| • Harz (Lkr): 22 (1%) | • Anhalt-Bitterfeld: 4 (0%) | • Mansfeld-Südharz: 2 (0%) |
| • Börde: 13 (0%) | • Salzlandkreis: 3 (0%) | • Dessau-Roßlau: 1 (0%) |
| • Stendal: 9 (1%) | • Saalekreis: 3 (0%) | • Magdeburg: 1 (0%) |
| • Burgenlandkreis: 5 (0%) | • Altmarkkreis Salzwedel: 2 (0%) |
36 of 36 counties logged
Top 30
| • Worms: 6 (2%) | • Neustadt an der Weinstraße: 1 (0%) | • Rhein-Lahn-Kreis: 1 (0%) |
| • Donnersbergkreis: 4 (1%) | • Kaiserslautern: 1 (0%) | • Eifelkreis Bitburg-Prüm: 1 (0%) |
| • Mayen-Koblenz (Lkr): 2 (0%) | • Ahrweiler (Lkr): 1 (0%) | • Bernkastel-Wittlich (Lkr): 1 (0%) |
| • Zweibrücken: 2 (1%) | • Alzey-Worms (Lkr): 1 (0%) | • Südliche Weinstraße (Lkr): 1 (0%) |
| • Mainz: 2 (0%) | • Rhein-Hunsrück-Kreis: 1 (0%) | • Cochem-Zell (Lkr): 1 (0%) |
| • Bad Kreuznach (Lkr): 2 (0%) | • Frankenthal (Pfalz): 1 (1%) | • Pirmasens: 1 (1%) |
| • Birkenfeld (Lkr): 2 (0%) | • Rhein-Pfalz-Kreis: 1 (0%) | • Mainz-Bingen (Lkr): 1 (0%) |
| • Trier: 1 (0%) | • Neuwied (Lkr): 1 (0%) | • Trier-Saarburg (Lkr): 1 (0%) |
| • Koblenz: 1 (0%) | • Bad Dürkheim (Lkr): 1 (0%) | • Kusel (Lkr): 1 (0%) |
| • Altenkirchen (Lkr): 1 (0%) | • Germersheim (Lkr): 1 (0%) | • Vulkaneifel (Lkr): 1 (0%) |
2 of 2 counties logged
Top 30
| • Bremen: 17 (1%) | • Bremerhaven: 2 (1%) |
1 of 1 counties logged
Top 30
| • Hamburg: 12 (0%) |
6 of 6 counties logged
Top 30
| • St. Wendel (Lkr): 1 (0%) | • Neunkirchen (Lkr): 1 (0%) | • Saarlouis (Lkr): 1 (0%) |
| • Saarpfalz-Kreis: 1 (0%) | • Merzig-Wadern (Lkr): 1 (0%) | • Regionalverband Saarbrücken: 1 (0%) |
Portugal
Regions
Counties
Açores
Lisboa
Madeira
Setúbal
4 of 20 regions logged
Top 30
| • Açores: 155 (4%) | • Madeira: 1 (0%) | |
| • Lisboa: 95 (1%) | • Setúbal: 1 (0%) |
12 of 308 counties logged
Top 30
| • Ponta Delgada: 86 (10%) | • Ribeira Grande: 9 (1%) | • Amadora: 1 (1%) |
| • Lisboa: 83 (9%) | • Lagoa (Açores): 8 (2%) | • Porto Moniz: 1 (0%) |
| • Povoação: 43 (10%) | • Vila Franca do Campo: 6 (1%) | • Almada: 1 (0%) |
| • Loures: 10 (2%) | • Nordeste: 3 (1%) | • Odivelas: 1 (0%) |
6 of 19 counties logged
Top 30
| • Ponta Delgada: 86 (10%) | • Ribeira Grande: 9 (1%) | • Vila Franca do Campo: 6 (1%) |
| • Povoação: 43 (10%) | • Lagoa (Açores): 8 (2%) | • Nordeste: 3 (1%) |
4 of 16 counties logged
Top 30
| • Lisboa: 83 (9%) | • Amadora: 1 (1%) | |
| • Loures: 10 (2%) | • Odivelas: 1 (0%) |
1 of 11 counties logged
Top 30
| • Porto Moniz: 1 (0%) |
1 of 13 counties logged
Top 30
| • Almada: 1 (0%) |
Greece
Regions
Counties
Crete
Ioanian Islands
South Aegean
Thessaly
Western Greece
Peloponnese
Epirus
Central Macedonia
Northern Aegean
Attica
10 of 14 regions logged
Top 30
| • Crete: 164 (8%) | • Peloponnese: 1 (0%) | • Attica: 1 (0%) |
| • Ioanian Islands: 44 (15%) | • Epirus: 1 (0%) | • Western Greece: 1 (0%) |
| • South Aegean: 36 (5%) | • Central Macedonia: 1 (0%) | |
| • Thessaly: 2 (1%) | • Northern Aegean: 1 (0%) |
18 of 75 counties logged
Top 30
| • Lasithi: 125 (19%) | • Tinos: 6 (30%) | • Corinthia: 1 (1%) |
| • Kefallonia: 43 (68%) | • Rethymno: 4 (1%) | • Ioannina: 1 (1%) |
| • Heraklion: 24 (5%) | • Trikala: 2 (7%) | • Thessaloniki: 1 (0%) |
| • Syros: 22 (21%) | • Thira: 1 (2%) | • Ithaca: 1 (10%) |
| • Chania: 11 (2%) | • Achaea: 1 (1%) | • Samos: 1 (2%) |
| • Mykonos: 6 (54%) | • Rhodes: 1 (0%) | • Central Athens: 1 (0%) |
4 of 4 counties logged
Top 30
| • Lasithi: 125 (19%) | • Chania: 11 (2%) | |
| • Heraklion: 24 (5%) | • Rethymno: 4 (1%) |
2 of 5 counties logged
Top 30
| • Kefallonia: 43 (68%) | • Ithaca: 1 (10%) |
5 of 13 counties logged
Top 30
| • Syros: 22 (21%) | • Tinos: 6 (30%) | • Rhodes: 1 (0%) |
| • Mykonos: 6 (54%) | • Thira: 1 (2%) |
1 of 5 counties logged
Top 30
| • Trikala: 2 (7%) |
1 of 3 counties logged
Top 30
| • Achaea: 1 (1%) |
1 of 5 counties logged
Top 30
| • Corinthia: 1 (1%) |
1 of 4 counties logged
Top 30
| • Ioannina: 1 (1%) |
1 of 7 counties logged
Top 30
| • Thessaloniki: 1 (0%) |
1 of 5 counties logged
Top 30
| • Samos: 1 (2%) |
1 of 8 counties logged
Top 30
| • Central Athens: 1 (0%) |
Ireland
Regions
Counties
Munster
Leinster
Ulster
Dublin
Connacht
5 of 5 regions logged
Top 30
| • Munster: 70 (3%) | • Ulster: 47 (0%) | • Connacht: 23 (2%) |
| • Leinster: 69 (3%) | • Dublin: 37 (2%) |
32 of 32 counties logged
Top 30
| • Dublin: 37 (2%) | • Louth: 9 (2%) | • Armagh: 2 (0%) |
| • Kerry: 32 (13%) | • Tipperary: 8 (4%) | • Donegal: 1 (0%) |
| • Meath: 26 (12%) | • Clare: 6 (3%) | • Carlow: 1 (3%) |
| • Antrim: 23 (2%) | • Waterford: 5 (1%) | • Kildare: 1 (0%) |
| • Down: 14 (0%) | • Leitrim: 5 (7%) | • Offaly: 1 (2%) |
| • Westmeath: 12 (4%) | • Mayo: 4 (1%) | • Longford: 1 (3%) |
| • Wicklow: 11 (1%) | • Wexford: 4 (2%) | • Tyrone: 1 (0%) |
| • Galway: 10 (4%) | • Cavan: 3 (3%) | • Monaghan: 1 (1%) |
| • Limerick: 10 (3%) | • Roscommon: 3 (2%) | • Sligo: 1 (0%) |
| • Cork: 9 (1%) | • Laois: 2 (4%) | • Londonderry: 1 (0%) |
6 of 6 counties logged
Top 30
| • Kerry: 32 (13%) | • Cork: 9 (1%) | • Clare: 6 (3%) |
| • Limerick: 10 (3%) | • Tipperary: 8 (4%) | • Waterford: 5 (1%) |
11 of 11 counties logged
Top 30
| • Meath: 26 (12%) | • Wexford: 4 (2%) | • Offaly: 1 (2%) |
| • Westmeath: 12 (4%) | • Laois: 2 (4%) | • Longford: 1 (3%) |
| • Wicklow: 11 (1%) | • Carlow: 1 (3%) | • Kilkenny: 1 (0%) |
| • Louth: 9 (2%) | • Kildare: 1 (0%) |
9 of 9 counties logged
Top 30
| • Antrim: 23 (2%) | • Armagh: 2 (0%) | • Monaghan: 1 (1%) |
| • Down: 14 (0%) | • Donegal: 1 (0%) | • Londonderry: 1 (0%) |
| • Cavan: 3 (3%) | • Tyrone: 1 (0%) | • Fermanagh: 1 (0%) |
1 of 1 counties logged
Top 30
| • Dublin: 37 (2%) |
5 of 5 counties logged
Top 30
| • Galway: 10 (4%) | • Mayo: 4 (1%) | • Sligo: 1 (0%) |
| • Leitrim: 5 (7%) | • Roscommon: 3 (2%) |
Romania
Regions
Counties
Nord-Vest
Centru
Nord-Est
Sud-Muntenia
Sud-Vest
București-Ilfov
Vest
Sud-Est
8 of 8 regions logged
Top 30
| • Nord-Vest: 38 (4%) | • Sud-Muntenia: 14 (2%) | • Sud-Est: 9 (2%) |
| • Centru: 33 (2%) | • Sud-Vest: 13 (10%) | • Vest: 9 (1%) |
| • Nord-Est: 27 (6%) | • București-Ilfov: 9 (1%) |
42 of 42 counties logged
Top 30
| • Sălaj: 19 (7%) | • Hunedoara: 5 (2%) | • Bihor: 2 (1%) |
| • Maramureș: 13 (16%) | • Alba: 4 (1%) | • Buzău: 2 (3%) |
| • Suceava: 9 (18%) | • Vâlcea: 4 (7%) | • Iași: 2 (0%) |
| • Neamț: 9 (14%) | • Vaslui: 4 (21%) | • Mehedinți: 2 (8%) |
| • Harghita: 8 (2%) | • Constanța: 3 (1%) | • Olt: 2 (20%) |
| • Brașov: 7 (1%) | • Gorj: 3 (10%) | • Ilfov: 2 (1%) |
| • Municipiul București: 7 (1%) | • Argeș: 2 (0%) | • Bacău: 2 (5%) |
| • Sibiu: 7 (1%) | • Timiș: 2 (2%) | • Satu Mare: 2 (20%) |
| • Călărași: 6 (22%) | • Dolj: 2 (28%) | • Covasna: 2 (3%) |
| • Mureș: 5 (2%) | • Teleorman: 2 (10%) | • Dâmbovița: 1 (1%) |
6 of 6 counties logged
Top 30
| • Sălaj: 19 (7%) | • Bihor: 2 (1%) | • Cluj: 1 (0%) |
| • Maramureș: 13 (16%) | • Satu Mare: 2 (20%) | • Bistrița-Năsăud: 1 (4%) |
6 of 6 counties logged
Top 30
| • Harghita: 8 (2%) | • Sibiu: 7 (1%) | • Alba: 4 (1%) |
| • Brașov: 7 (1%) | • Mureș: 5 (2%) | • Covasna: 2 (3%) |
6 of 6 counties logged
Top 30
| • Suceava: 9 (18%) | • Vaslui: 4 (21%) | • Bacău: 2 (5%) |
| • Neamț: 9 (14%) | • Iași: 2 (0%) | • Botoșani: 1 (7%) |
7 of 7 counties logged
Top 30
| • Călărași: 6 (22%) | • Dâmbovița: 1 (1%) | • Ialomița: 1 (8%) |
| • Argeș: 2 (0%) | • Giurgiu: 1 (3%) | |
| • Teleorman: 2 (10%) | • Prahova: 1 (0%) |
5 of 5 counties logged
Top 30
| • Vâlcea: 4 (7%) | • Dolj: 2 (28%) | • Olt: 2 (20%) |
| • Gorj: 3 (10%) | • Mehedinți: 2 (8%) |
2 of 2 counties logged
Top 30
| • Municipiul București: 7 (1%) | • Ilfov: 2 (1%) |
4 of 4 counties logged
Top 30
| • Hunedoara: 5 (2%) | • Arad: 1 (2%) | |
| • Timiș: 2 (2%) | • Caraș-Severin: 1 (0%) |
6 of 6 counties logged
Top 30
| • Constanța: 3 (1%) | • Galați: 1 (3%) | • Brăila: 1 (16%) |
| • Buzău: 2 (3%) | • Tulcea: 1 (2%) | • Vrancea: 1 (4%) |
Spain
Regions
Counties
Islas Baleares
1 of 19 regions logged
Top 30
| • Islas Baleares: 144 (5%) |
1 of 52 counties logged
Top 30
| • Illes Balears: 144 (5%) |
1 of 1 counties logged
Top 30
| • Illes Balears: 144 (5%) |
Switzerland
Regions
Counties
Valais
Bern
St. Gallen
Appenzell Innerrhoden
Uri
Luzern
Zürich
Ticino
Appenzell Ausserrhoden
Vaud
Obwalden
Neuchâtel
Basel Landschaft
Solothurn
Aargau
Nidwalden
Schwyz
Zug
Basel Stadt
Fribourg
Schaffhausen
Genève
Graubünden
Thurgau
Glarus
Jura
26 of 26 regions logged
Top 30
| • Valais: 24 (1%) | • Vaud: 4 (0%) | • Basel Stadt: 2 (0%) |
| • Bern: 18 (0%) | • Neuchâtel: 3 (0%) | • Glarus: 1 (0%) |
| • St. Gallen: 14 (0%) | • Basel Landschaft: 3 (0%) | • Thurgau: 1 (0%) |
| • Appenzell Innerrhoden: 7 (5%) | • Solothurn: 3 (0%) | • Schaffhausen: 1 (0%) |
| • Uri: 7 (1%) | • Aargau: 3 (0%) | • Fribourg: 1 (0%) |
| • Luzern: 5 (0%) | • Nidwalden: 3 (1%) | • Graubünden: 1 (0%) |
| • Ticino: 4 (0%) | • Obwalden: 3 (0%) | • Jura: 1 (0%) |
| • Appenzell Ausserrhoden: 4 (0%) | • Schwyz: 2 (0%) | • Genève: 1 (0%) |
| • Zürich: 4 (0%) | • Zug: 2 (0%) |
59 of 2160 counties logged
Top 30
| • Fully: 20 (62%) | • St. Gallen: 2 (1%) | • Wolfenschiessen: 1 (2%) |
| • Valbirse: 17 (121%) | • Basel: 2 (0%) | • Biel/Bienne: 1 (1%) |
| • Appenzell: 4 (66%) | • Grellingen: 2 (33%) | • Hundwil: 1 (3%) |
| • Rapperswil-Jona: 4 (4%) | • Mümliswil-Ramiswil: 2 (6%) | • Frauenfeld: 1 (0%) |
| • Seelisberg: 4 (36%) | • Richterswil: 2 (4%) | • Beromünster: 1 (2%) |
| • Sins: 3 (20%) | • Hünenberg: 2 (7%) | • Sevelen: 1 (1%) |
| • Airolo: 3 (9%) | • Heiden: 2 (6%) | • Ramsen: 1 (10%) |
| • Andermatt: 3 (10%) | • Oberriet: 2 (2%) | • Emmen: 1 (2%) |
| • Engelberg: 3 (2%) | • Bettmeralp: 2 (9%) | • Attalens: 1 (5%) |
| • Luzern: 3 (2%) | • Wartau: 1 (0%) | • Lac de Neuchâtel (NE): 1 (5%) |
4 of 122 counties logged
Top 30
| • Fully: 20 (62%) | • Martigny: 1 (7%) | |
| • Bettmeralp: 2 (9%) | • Fiesch: 1 (16%) |
2 of 341 counties logged
Top 30
| • Valbirse: 17 (121%) | • Biel/Bienne: 1 (1%) |
9 of 78 counties logged
Top 30
| • Rapperswil-Jona: 4 (4%) | • Wartau: 1 (0%) | • Hemberg: 1 (20%) |
| • St. Gallen: 2 (1%) | • Sevelen: 1 (1%) | • Wattwil: 1 (3%) |
| • Oberriet: 2 (2%) | • Rebstein: 1 (9%) | • Schänis: 1 (2%) |
4 of 5 counties logged
Top 30
| • Appenzell: 4 (66%) | • Schwende-Rüte: 1 (1%) | |
| • Oberegg: 1 (4%) | • Gonten: 1 (5%) |
2 of 19 counties logged
Top 30
| • Seelisberg: 4 (36%) | • Andermatt: 3 (10%) |
3 of 80 counties logged
Top 30
| • Luzern: 3 (2%) | • Beromünster: 1 (2%) | • Emmen: 1 (2%) |
3 of 162 counties logged
Top 30
| • Richterswil: 2 (4%) | • Wädenswil: 1 (1%) | • Kloten: 1 (2%) |
2 of 110 counties logged
Top 30
| • Airolo: 3 (9%) | • Bedretto: 1 (11%) |
3 of 20 counties logged
Top 30
| • Heiden: 2 (6%) | • Hundwil: 1 (3%) | • Reute (AR): 1 (9%) |
4 of 302 counties logged
Top 30
| • L'Abergement: 1 (50%) | • L'Abbaye: 1 (50%) | |
| • Bourg-en-Lavaux: 1 (7%) | • Corcelles-près-Concise: 1 (33%) |
1 of 7 counties logged
Top 30
| • Engelberg: 3 (2%) |
3 of 29 counties logged
Top 30
| • Lac de Neuchâtel (NE): 1 (5%) | • Neuchâtel: 1 (0%) | • Milvignes: 1 (2%) |
2 of 86 counties logged
Top 30
| • Grellingen: 2 (33%) | • Allschwil: 1 (2%) |
2 of 107 counties logged
Top 30
| • Mümliswil-Ramiswil: 2 (6%) | • Himmelried: 1 (16%) |
1 of 201 counties logged
Top 30
| • Sins: 3 (20%) |
3 of 11 counties logged
Top 30
| • Wolfenschiessen: 1 (2%) | • Emmetten: 1 (4%) | • Beckenried: 1 (2%) |
2 of 30 counties logged
Top 30
| • Wollerau: 1 (9%) | • Freienbach: 1 (2%) |
1 of 11 counties logged
Top 30
| • Hünenberg: 2 (7%) |
1 of 3 counties logged
Top 30
| • Basel: 2 (0%) |
1 of 128 counties logged
Top 30
| • Attalens: 1 (5%) |
1 of 26 counties logged
Top 30
| • Ramsen: 1 (10%) |
1 of 45 counties logged
Top 30
| • Le Grand-Saconnex: 1 (14%) |
1 of 101 counties logged
Top 30
| • Tujetsch: 1 (3%) |
1 of 80 counties logged
Top 30
| • Frauenfeld: 1 (0%) |
1 of 3 counties logged
Top 30
| • Glarus Nord: 1 (0%) |
1 of 53 counties logged
Top 30
| • Mervelier: 1 (33%) |
Poland
Regions
Counties
Dolnośląskie
Warmińsko-Mazurskie
Zachodniopomorskie
Podlaskie
Wielkopolskie
Lubuskie
Opolskie
Małopolskie
Podkarpackie
Kujawsko-Pomorskie
Lubelskie
Świętokrzyskie
Mazowieckie
Pomorskie
Łódzkie
Śląskie
16 of 16 regions logged
Top 30
| • Dolnośląskie: 16 (0%) | • Małopolskie: 6 (0%) | • Mazowieckie: 2 (0%) |
| • Warmińsko-Mazurskie: 15 (0%) | • Opolskie: 6 (0%) | • Łódzkie: 1 (0%) |
| • Zachodniopomorskie: 14 (0%) | • Kujawsko-Pomorskie: 5 (0%) | • Śląskie: 1 (0%) |
| • Podlaskie: 12 (2%) | • Podkarpackie: 5 (0%) | • Pomorskie: 1 (0%) |
| • Lubuskie: 10 (0%) | • Lubelskie: 4 (0%) | |
| • Wielkopolskie: 10 (0%) | • Świętokrzyskie: 3 (0%) |
70 of 380 counties logged
Top 30
| • Szczecin: 11 (2%) | • Zgorzelecki: 2 (1%) | • Ząbkowicki: 1 (0%) |
| • Hajnowski: 8 (21%) | • Tarnobrzeg: 2 (10%) | • Białystok: 1 (6%) |
| • Kętrzyński: 5 (6%) | • Sandomierski: 2 (5%) | • Brodnicki: 1 (0%) |
| • Wągrowiecki: 5 (2%) | • Strzeliński: 2 (5%) | • Myśliborski: 1 (2%) |
| • Słubicki: 3 (3%) | • Kraśnicki: 2 (2%) | • Sopot: 1 (0%) |
| • Obornicki: 3 (0%) | • Myślenicki: 2 (1%) | • Olsztyn: 1 (1%) |
| • Olsztyński: 2 (0%) | • Dębicki: 2 (1%) | • Pyrzycki: 1 (3%) |
| • Nyski: 2 (2%) | • Sulęciński: 2 (1%) | • Ełcki: 1 (1%) |
| • Giżycki: 2 (5%) | • Warszawa: 1 (0%) | • Trzebnicki: 1 (0%) |
| • Nowotarski: 2 (0%) | • Legnica: 1 (1%) | • Opatowski: 1 (4%) |
14 of 30 counties logged
Top 30
| • Zgorzelecki: 2 (1%) | • Wrocław: 1 (0%) | • Wrocławski: 1 (0%) |
| • Strzeliński: 2 (5%) | • Oławski: 1 (1%) | • Średzki (Dolnośląskie): 1 (0%) |
| • Legnica: 1 (1%) | • Złotoryjski: 1 (0%) | • Jaworski: 1 (0%) |
| • Ząbkowicki: 1 (0%) | • Oleśnicki: 1 (1%) | • Bolesławiecki: 1 (0%) |
| • Trzebnicki: 1 (0%) | • Legnicki: 1 (0%) |
9 of 21 counties logged
Top 30
| • Kętrzyński: 5 (6%) | • Olsztyn: 1 (1%) | • Iławski: 1 (0%) |
| • Olsztyński: 2 (0%) | • Ełcki: 1 (1%) | • Nowomiejski: 1 (1%) |
| • Giżycki: 2 (5%) | • Mrągowski: 1 (2%) | • Ostródzki: 1 (0%) |
4 of 21 counties logged
Top 30
| • Szczecin: 11 (2%) | • Pyrzycki: 1 (3%) | |
| • Myśliborski: 1 (2%) | • Gryfiński: 1 (0%) |
5 of 17 counties logged
Top 30
| • Hajnowski: 8 (21%) | • Moniecki: 1 (5%) | • Grajewski: 1 (12%) |
| • Białystok: 1 (6%) | • Białostocki: 1 (1%) |
4 of 35 counties logged
Top 30
| • Wągrowiecki: 5 (2%) | • Poznański: 1 (0%) | |
| • Obornicki: 3 (0%) | • Kępiński: 1 (12%) |
7 of 14 counties logged
Top 30
| • Słubicki: 3 (3%) | • Gorzowski: 1 (0%) | • Gorzów Wielkopolski: 1 (1%) |
| • Sulęciński: 2 (1%) | • Żarski: 1 (0%) | |
| • Międzyrzecki: 1 (0%) | • Krośnieński (Lubuskie): 1 (1%) |
5 of 12 counties logged
Top 30
| • Nyski: 2 (2%) | • Namysłowski: 1 (2%) | • Brzeski (Opolskie): 1 (3%) |
| • Prudnicki: 1 (2%) | • Głubczycki: 1 (9%) |
4 of 22 counties logged
Top 30
| • Nowotarski: 2 (0%) | • Suski: 1 (1%) | |
| • Myślenicki: 2 (1%) | • Kraków: 1 (0%) |
3 of 25 counties logged
Top 30
| • Tarnobrzeg: 2 (10%) | • Dębicki: 2 (1%) | • Mielecki: 1 (4%) |
5 of 23 counties logged
Top 30
| • Brodnicki: 1 (0%) | • Bydgoski: 1 (0%) | • Toruński: 1 (1%) |
| • Golubsko-Dobrzyński: 1 (0%) | • Nakielski: 1 (0%) |
3 of 24 counties logged
Top 30
| • Kraśnicki: 2 (2%) | • Lubelski: 1 (0%) | • Lubartowski: 1 (1%) |
2 of 14 counties logged
Top 30
| • Sandomierski: 2 (5%) | • Opatowski: 1 (4%) |
2 of 42 counties logged
Top 30
| • Warszawa: 1 (0%) | • Łosicki: 1 (9%) |
1 of 20 counties logged
Top 30
| • Sopot: 1 (0%) |
1 of 24 counties logged
Top 30
| • Wieruszowski: 1 (2%) |
1 of 36 counties logged
Top 30
| • Raciborski: 1 (0%) |
France
Regions
Counties
Bourgogne-Franche-Comté
Grand-Est
Auvergne-Rhône-Alpes
Corse
Bretagne
Hauts-de-France
Normandie
Île-de-France
8 of 13 regions logged
Top 30
| • Bourgogne-Franche-Comté: 62 (0%) | • Auvergne-Rhône-Alpes: 2 (0%) | • Normandie: 1 (0%) |
| • Grand-Est: 17 (0%) | • Bretagne: 1 (0%) | • Île-de-France: 1 (0%) |
| • Corse: 2 (0%) | • Hauts-de-France: 1 (0%) |
11 of 96 counties logged
Top 30
| • Jura: 62 (1%) | • Haut-Rhin: 2 (0%) | • Nord: 1 (0%) |
| • Bas-Rhin: 11 (0%) | • Ille-et-Vilaine: 1 (0%) | • Manche: 1 (0%) |
| • Moselle: 4 (0%) | • Haute-Corse: 1 (0%) | • Seine-et-Marne: 1 (0%) |
| • Ain: 2 (0%) | • Corse-du-Sud: 1 (0%) |
1 of 8 counties logged
Top 30
| • Jura: 62 (1%) |
3 of 10 counties logged
Top 30
| • Bas-Rhin: 11 (0%) | • Moselle: 4 (0%) | • Haut-Rhin: 2 (0%) |
1 of 12 counties logged
Top 30
| • Ain: 2 (0%) |
2 of 2 counties logged
Top 30
| • Haute-Corse: 1 (0%) | • Corse-du-Sud: 1 (0%) |
1 of 4 counties logged
Top 30
| • Ille-et-Vilaine: 1 (0%) |
1 of 5 counties logged
Top 30
| • Nord: 1 (0%) |
1 of 5 counties logged
Top 30
| • Manche: 1 (0%) |
1 of 8 counties logged
Top 30
| • Seine-et-Marne: 1 (0%) |
United Kingdom
Regions
Counties
North Wales
North West England
East Midlands
North East England
Southern England
Eastern England
Yorkshire
West Midlands
Southern Scotland
South East England
South Wales
Northern Scotland
South West England
London
14 of 14 regions logged
Top 30
| • North Wales: 15 (0%) | • Eastern England: 4 (0%) | • South Wales: 1 (0%) |
| • North West England: 14 (0%) | • Yorkshire: 3 (0%) | • Northern Scotland: 1 (0%) |
| • North East England: 8 (0%) | • West Midlands: 3 (0%) | • South West England: 1 (0%) |
| • East Midlands: 8 (0%) | • Southern Scotland: 2 (0%) | • London: 1 (0%) |
| • Southern England: 4 (0%) | • South East England: 1 (0%) |
23 of 102 counties logged
Top 30
| • Isle of Anglesey: 13 (3%) | • Suffolk: 3 (0%) | • Gwynedd: 1 (0%) |
| • Cumbria: 10 (0%) | • Lincolnshire: 3 (0%) | • Highland: 1 (0%) |
| • Derbyshire: 5 (0%) | • Scottish Borders: 2 (0%) | • Devon: 1 (0%) |
| • Northumberland: 5 (0%) | • Tyne and Wear: 2 (0%) | • Greater London: 1 (0%) |
| • Merseyside: 3 (0%) | • Conwy: 1 (0%) | • Cheshire: 1 (0%) |
| • North Yorkshire: 3 (0%) | • Kent: 1 (0%) | • Essex: 1 (0%) |
| • Warwickshire: 3 (0%) | • Oxfordshire: 1 (0%) | • County Durham: 1 (0%) |
| • Gloucestershire: 3 (0%) | • Powys: 1 (0%) |
3 of 6 counties logged
Top 30
| • Isle of Anglesey: 13 (3%) | • Conwy: 1 (0%) | • Gwynedd: 1 (0%) |
3 of 5 counties logged
Top 30
| • Cumbria: 10 (0%) | • Merseyside: 3 (0%) | • Cheshire: 1 (0%) |
2 of 6 counties logged
Top 30
| • Derbyshire: 5 (0%) | • Lincolnshire: 3 (0%) |
3 of 3 counties logged
Top 30
| • Northumberland: 5 (0%) | • Tyne and Wear: 2 (0%) | • County Durham: 1 (0%) |
2 of 8 counties logged
Top 30
| • Gloucestershire: 3 (0%) | • Oxfordshire: 1 (0%) |
2 of 6 counties logged
Top 30
| • Suffolk: 3 (0%) | • Essex: 1 (0%) |
1 of 4 counties logged
Top 30
| • North Yorkshire: 3 (0%) |
1 of 6 counties logged
Top 30
| • Warwickshire: 3 (0%) |
1 of 19 counties logged
Top 30
| • Scottish Borders: 2 (0%) |
1 of 4 counties logged
Top 30
| • Kent: 1 (0%) |
1 of 16 counties logged
Top 30
| • Powys: 1 (0%) |
1 of 13 counties logged
Top 30
| • Highland: 1 (0%) |
1 of 4 counties logged
Top 30
| • Devon: 1 (0%) |
1 of 2 counties logged
Top 30
| • Greater London: 1 (0%) |
South Africa
Regions
Counties
Northern Cape
North West
Western Cape
Gauteng
Mpumalanga
Limpopo
Free State
Eastern Cape
8 of 9 regions logged
Top 30
| • Northern Cape: 24 (6%) | • Gauteng: 1 (0%) | • Free State: 1 (0%) |
| • Western Cape: 18 (0%) | • Mpumalanga: 1 (0%) | • Eastern Cape: 1 (0%) |
| • North West: 18 (4%) | • Limpopo: 1 (0%) |
15 of 52 counties logged
Top 30
| • Namakwa: 13 (6%) | • Overberg: 4 (0%) | • Sedibeng: 1 (0%) |
| • Dr Ruth Segomotsi Mompati: 11 (16%) | • Dr Kenneth Kaunda: 4 (3%) | • Ehlanzeni: 1 (0%) |
| • City of Cape Town: 7 (0%) | • John Taolo Gaetsewe: 4 (8%) | • Mopani: 1 (0%) |
| • ZF Mgcawu: 7 (14%) | • Cape Winelands: 3 (0%) | • Fezile Dabi: 1 (1%) |
| • West Coast: 4 (0%) | • Ngaka Modiri Molema: 3 (9%) | • Sarah Baartman: 1 (0%) |
3 of 5 counties logged
Top 30
| • Namakwa: 13 (6%) | • ZF Mgcawu: 7 (14%) | • John Taolo Gaetsewe: 4 (8%) |
3 of 4 counties logged
Top 30
| • Dr Ruth Segomotsi Mompati: 11 (16%) | • Dr Kenneth Kaunda: 4 (3%) | • Ngaka Modiri Molema: 3 (9%) |
4 of 6 counties logged
Top 30
| • City of Cape Town: 7 (0%) | • Overberg: 4 (0%) | |
| • West Coast: 4 (0%) | • Cape Winelands: 3 (0%) |
1 of 5 counties logged
Top 30
| • Sedibeng: 1 (0%) |
1 of 3 counties logged
Top 30
| • Ehlanzeni: 1 (0%) |
1 of 5 counties logged
Top 30
| • Mopani: 1 (0%) |
1 of 5 counties logged
Top 30
| • Fezile Dabi: 1 (1%) |
1 of 8 counties logged
Top 30
| • Sarah Baartman: 1 (0%) |
Czechia
Regions
Counties
Ústecký kraj
Moravskoslezský kraj
Jihomoravský kraj
Středočeský kraj
Plzeňský kraj
Hlavní město Praha
Pardubický kraj
Zlínský kraj
Jihočeský kraj
Liberecký kraj
Kraj Vysočina
Karlovarský kraj
Královéhradecký kraj
Olomoucký kraj
14 of 14 regions logged
Top 30
| • Ústecký kraj: 12 (0%) | • Hlavní město Praha: 3 (0%) | • Liberecký kraj: 2 (0%) |
| • Moravskoslezský kraj: 8 (0%) | • Zlínský kraj: 3 (0%) | • Karlovarský kraj: 2 (0%) |
| • Středočeský kraj: 8 (0%) | • Pardubický kraj: 3 (0%) | • Královéhradecký kraj: 1 (0%) |
| • Jihomoravský kraj: 8 (0%) | • Jihočeský kraj: 3 (0%) | • Olomoucký kraj: 1 (0%) |
| • Plzeňský kraj: 5 (0%) | • Kraj Vysočina: 2 (0%) |
46 of 77 counties logged
Top 30
| • Nový Jičín: 4 (0%) | • Blansko: 1 (0%) | • Hodonín: 1 (0%) |
| • Děčín: 4 (0%) | • Kutná Hora: 1 (0%) | • Havlíčkův Brod: 1 (0%) |
| • Hlavní město Praha: 3 (0%) | • Rakovník: 1 (0%) | • Karlovy Vary: 1 (0%) |
| • Chomutov: 3 (0%) | • Česká Lípa: 1 (0%) | • Plzeň-sever: 1 (0%) |
| • Břeclav: 3 (0%) | • Strakonice: 1 (0%) | • Brno-město: 1 (0%) |
| • Chrudim: 2 (0%) | • Žďár nad Sázavou: 1 (0%) | • Most: 1 (0%) |
| • Opava: 2 (0%) | • Klatovy: 1 (0%) | • Plzeň-jih: 1 (0%) |
| • Zlín: 2 (0%) | • Pardubice: 1 (0%) | • Sokolov: 1 (0%) |
| • Louny: 1 (0%) | • Hradec Králové: 1 (0%) | • Vsetín: 1 (0%) |
| • Beroun: 1 (0%) | • Vyškov: 1 (0%) | • Praha-východ: 1 (0%) |
7 of 7 counties logged
Top 30
| • Děčín: 4 (0%) | • Most: 1 (0%) | • Litoměřice: 1 (0%) |
| • Chomutov: 3 (0%) | • Teplice: 1 (0%) | |
| • Louny: 1 (0%) | • Ústí nad Labem: 1 (0%) |
4 of 6 counties logged
Top 30
| • Nový Jičín: 4 (0%) | • Ostrava-město: 1 (0%) | |
| • Opava: 2 (0%) | • Bruntál: 1 (0%) |
6 of 7 counties logged
Top 30
| • Břeclav: 3 (0%) | • Vyškov: 1 (0%) | • Brno-město: 1 (0%) |
| • Blansko: 1 (0%) | • Hodonín: 1 (0%) | • Brno-venkov: 1 (0%) |
8 of 12 counties logged
Top 30
| • Beroun: 1 (0%) | • Praha-východ: 1 (0%) | • Kolín: 1 (0%) |
| • Kutná Hora: 1 (0%) | • Praha-západ: 1 (0%) | • Kladno: 1 (0%) |
| • Rakovník: 1 (0%) | • Nymburk: 1 (0%) |
5 of 7 counties logged
Top 30
| • Klatovy: 1 (0%) | • Plzeň-jih: 1 (0%) | • Plzeň-město: 1 (0%) |
| • Plzeň-sever: 1 (0%) | • Domažlice: 1 (0%) |
1 of 1 counties logged
Top 30
| • Hlavní město Praha: 3 (0%) |
2 of 4 counties logged
Top 30
| • Chrudim: 2 (0%) | • Pardubice: 1 (0%) |
2 of 4 counties logged
Top 30
| • Zlín: 2 (0%) | • Vsetín: 1 (0%) |
3 of 7 counties logged
Top 30
| • Strakonice: 1 (0%) | • Český Krumlov: 1 (0%) | • Prachatice: 1 (0%) |
2 of 4 counties logged
Top 30
| • Česká Lípa: 1 (0%) | • Liberec: 1 (0%) |
2 of 5 counties logged
Top 30
| • Žďár nad Sázavou: 1 (0%) | • Havlíčkův Brod: 1 (0%) |
2 of 3 counties logged
Top 30
| • Karlovy Vary: 1 (0%) | • Sokolov: 1 (0%) |
1 of 5 counties logged
Top 30
| • Hradec Králové: 1 (0%) |
1 of 5 counties logged
Top 30
| • Jeseník: 1 (0%) |
Thailand
Regions
Counties
Central Thailand
Northern Thailand
Eastern Thailand
Western Thailand
Northeastern Thailand (Isan)
5 of 6 regions logged
Top 30
| • Central Thailand: 24 (3%) | • Eastern Thailand: 6 (1%) | • Northeastern Thailand (Isan): 1 (1%) |
| • Northern Thailand: 23 (6%) | • Western Thailand: 4 (8%) |
21 of 77 counties logged
Top 30
| • Chiang Mai: 13 (4%) | • Phetchabun: 2 (100%) | • Lop Buri: 1 (25%) |
| • Phitsanulok: 8 (133%) | • Mae Hong Son: 2 (33%) | • Nakhon Ratchasima: 1 (14%) |
| • Chiang Rai: 5 (25%) | • Lamphun: 2 (5%) | • Nakhon Nayok: 1 (6%) |
| • Chon Buri: 4 (3%) | • Saraburi: 2 (25%) | • Pathum Thani: 1 (8%) |
| • Kanchanaburi: 4 (18%) | • Nan: 1 (50%) | • Samut Prakan: 1 (8%) |
| • Sukhothai: 3 (100%) | • Bangkok: 1 (0%) | • Chachoengsao: 1 (1%) |
| • Nakhon Sawan: 3 (23%) | • Phra Nakhon Si Ayutthaya: 1 (25%) | • Prachin Buri: 1 (100%) |
11 of 22 counties logged
Top 30
| • Phitsanulok: 8 (133%) | • Saraburi: 2 (25%) | • Nakhon Nayok: 1 (6%) |
| • Sukhothai: 3 (100%) | • Bangkok: 1 (0%) | • Pathum Thani: 1 (8%) |
| • Nakhon Sawan: 3 (23%) | • Phra Nakhon Si Ayutthaya: 1 (25%) | • Samut Prakan: 1 (8%) |
| • Phetchabun: 2 (100%) | • Lop Buri: 1 (25%) |
5 of 9 counties logged
Top 30
| • Chiang Mai: 13 (4%) | • Mae Hong Son: 2 (33%) | • Nan: 1 (50%) |
| • Chiang Rai: 5 (25%) | • Lamphun: 2 (5%) |
3 of 7 counties logged
Top 30
| • Chon Buri: 4 (3%) | • Chachoengsao: 1 (1%) | • Prachin Buri: 1 (100%) |
1 of 5 counties logged
Top 30
| • Kanchanaburi: 4 (18%) |
1 of 20 counties logged
Top 30
| • Nakhon Ratchasima: 1 (14%) |
Namibia
8 of 14 regions logged
Top 30
| • Erongo: 18 (26%) | • Khomas: 7 (8%) | • Oshana: 2 (100%) |
| • Hardap: 12 (34%) | • Oshikoto: 5 (55%) | • Omusati: 1 (100%) |
| • Kunene: 10 (22%) | • Otjozondjupa: 3 (12%) |
Denmark
Regions
Counties
Hovedstaden
Syddanmark
2 of 5 regions logged
Top 30
| • Hovedstaden: 44 (0%) | • Syddanmark: 2 (0%) |
4 of 98 counties logged
Top 30
| • Bornholm: 43 (8%) | • Middelfart: 1 (0%) | |
| • Tårnby: 1 (0%) | • Aabenraa: 1 (0%) |
2 of 29 counties logged
Top 30
| • Bornholm: 43 (8%) | • Tårnby: 1 (0%) |
2 of 22 counties logged
Top 30
| • Middelfart: 1 (0%) | • Aabenraa: 1 (0%) |
United States
Regions
Counties
Wyoming
New York
Florida
Montana
Michigan
Utah
Wisconsin
New Hampshire
Alabama
Louisiana
Nebraska
Connecticut
Idaho
New Jersey
North Dakota
Colorado
Nevada
Illinois
South Dakota
Massachusetts
Vermont
California
Washington
Minnesota
Maine
Mississippi
Pennsylvania
Oregon
28 of 51 regions logged
Top 30
| • Wyoming: 7 (0%) | • Nevada: 1 (0%) | • New Hampshire: 1 (0%) |
| • Florida: 3 (0%) | • Vermont: 1 (0%) | • Connecticut: 1 (0%) |
| • New York: 3 (0%) | • North Dakota: 1 (0%) | • Oregon: 1 (0%) |
| • Montana: 2 (0%) | • Colorado: 1 (0%) | • Louisiana: 1 (0%) |
| • Michigan: 2 (0%) | • Idaho: 1 (0%) | • Mississippi: 1 (0%) |
| • California: 1 (0%) | • Illinois: 1 (0%) | • Wisconsin: 1 (0%) |
| • Massachusetts: 1 (0%) | • Nebraska: 1 (0%) | • Pennsylvania: 1 (0%) |
| • Maine: 1 (0%) | • Utah: 1 (0%) | • Minnesota: 1 (0%) |
| • South Dakota: 1 (0%) | • Alabama: 1 (0%) | |
| • Washington: 1 (0%) | • New Jersey: 1 (0%) |
34 of 3143 counties logged
Top 30
| • Teton County (WY): 4 (3%) | • Saint Louis County (MN): 1 (0%) | • Cook County (IL): 1 (0%) |
| • Monroe County (FL): 2 (1%) | • New York County (NY): 1 (0%) | • Washoe County (NV): 1 (0%) |
| • Gallatin County (MT): 2 (0%) | • Alger County (MI): 1 (0%) | • Uintah County (UT): 1 (0%) |
| • Park County (WY): 2 (0%) | • Skamania County (WA): 1 (0%) | • Billings County (ND): 1 (2%) |
| • Miami-Dade County (FL): 1 (0%) | • Siskiyou County (CA): 1 (0%) | • Atlantic County (NJ): 1 (0%) |
| • Northampton County (PA): 1 (0%) | • Chittenden County (VT): 1 (0%) | • Fremont County (ID): 1 (0%) |
| • Cheboygan County (MI): 1 (0%) | • Barnstable County (MA): 1 (0%) | • New Haven County (CT): 1 (0%) |
| • Crook County (WY): 1 (1%) | • Custer County (SD): 1 (0%) | • Sioux County (NE): 1 (2%) |
| • Harrison County (MS): 1 (0%) | • Larimer County (CO): 1 (0%) | • Orleans Parish (LA): 1 (0%) |
| • Cumberland County (ME): 1 (0%) | • Niagara County (NY): 1 (0%) | • Baldwin County (AL): 1 (0%) |
3 of 23 counties logged
Top 30
| • Teton County (WY): 4 (3%) | • Park County (WY): 2 (0%) | • Crook County (WY): 1 (1%) |
3 of 62 counties logged
Top 30
| • New York County (NY): 1 (0%) | • Niagara County (NY): 1 (0%) | • Broome County (NY): 1 (0%) |
2 of 67 counties logged
Top 30
| • Monroe County (FL): 2 (1%) | • Miami-Dade County (FL): 1 (0%) |
1 of 56 counties logged
Top 30
| • Gallatin County (MT): 2 (0%) |
2 of 83 counties logged
Top 30
| • Cheboygan County (MI): 1 (0%) | • Alger County (MI): 1 (0%) |
1 of 29 counties logged
Top 30
| • Uintah County (UT): 1 (0%) |
1 of 72 counties logged
Top 30
| • Ashland County (WI): 1 (1%) |
1 of 10 counties logged
Top 30
| • Grafton County (NH): 1 (0%) |
1 of 67 counties logged
Top 30
| • Baldwin County (AL): 1 (0%) |
1 of 64 counties logged
Top 30
| • Orleans Parish (LA): 1 (0%) |
1 of 93 counties logged
Top 30
| • Sioux County (NE): 1 (2%) |
1 of 8 counties logged
Top 30
| • New Haven County (CT): 1 (0%) |
1 of 44 counties logged
Top 30
| • Fremont County (ID): 1 (0%) |
1 of 21 counties logged
Top 30
| • Atlantic County (NJ): 1 (0%) |
1 of 53 counties logged
Top 30
| • Billings County (ND): 1 (2%) |
1 of 64 counties logged
Top 30
| • Larimer County (CO): 1 (0%) |
1 of 17 counties logged
Top 30
| • Washoe County (NV): 1 (0%) |
1 of 102 counties logged
Top 30
| • Cook County (IL): 1 (0%) |
1 of 66 counties logged
Top 30
| • Custer County (SD): 1 (0%) |
1 of 14 counties logged
Top 30
| • Barnstable County (MA): 1 (0%) |
1 of 14 counties logged
Top 30
| • Chittenden County (VT): 1 (0%) |
1 of 58 counties logged
Top 30
| • Siskiyou County (CA): 1 (0%) |
1 of 39 counties logged
Top 30
| • Skamania County (WA): 1 (0%) |
1 of 87 counties logged
Top 30
| • Saint Louis County (MN): 1 (0%) |
1 of 16 counties logged
Top 30
| • Cumberland County (ME): 1 (0%) |
1 of 82 counties logged
Top 30
| • Harrison County (MS): 1 (0%) |
1 of 67 counties logged
Top 30
| • Northampton County (PA): 1 (0%) |
1 of 36 counties logged
Top 30
| • Clatsop County (OR): 1 (0%) |
Slovakia
Regions
Counties
Košický kraj
Trnavský kraj
Prešovský kraj
Trenčiansky kraj
Žilinský kraj
Nitriansky kraj
Banskobystrický kraj
Bratislavský kraj
8 of 8 regions logged
Top 30
| • Košický kraj: 9 (0%) | • Trenčiansky kraj: 5 (0%) | • Banskobystrický kraj: 3 (0%) |
| • Trnavský kraj: 6 (0%) | • Nitriansky kraj: 4 (0%) | • Bratislavský kraj: 1 (0%) |
| • Prešovský kraj: 6 (0%) | • Žilinský kraj: 4 (0%) |
19 of 79 counties logged
Top 30
| • Košice I: 8 (2%) | • Nové Mesto nad Váhom: 2 (0%) | • Šaľa: 1 (1%) |
| • Trnava: 4 (0%) | • Nitra: 2 (0%) | • Spišská Nová Ves: 1 (0%) |
| • Brezno: 3 (1%) | • Považská Bystrica: 1 (0%) | • Tvrdošín: 1 (0%) |
| • Liptovský Mikuláš: 3 (0%) | • Piešťany: 1 (0%) | • Púchov: 1 (0%) |
| • Levoča: 2 (1%) | • Ilava: 1 (0%) | • Hlohovec: 1 (0%) |
| • Prešov: 2 (0%) | • Bratislava V: 1 (0%) | |
| • Poprad: 2 (0%) | • Komárno: 1 (1%) |
2 of 11 counties logged
Top 30
| • Košice I: 8 (2%) | • Spišská Nová Ves: 1 (0%) |
3 of 7 counties logged
Top 30
| • Trnava: 4 (0%) | • Piešťany: 1 (0%) | • Hlohovec: 1 (0%) |
3 of 13 counties logged
Top 30
| • Levoča: 2 (1%) | • Prešov: 2 (0%) | • Poprad: 2 (0%) |
4 of 9 counties logged
Top 30
| • Nové Mesto nad Váhom: 2 (0%) | • Ilava: 1 (0%) | |
| • Považská Bystrica: 1 (0%) | • Púchov: 1 (0%) |
2 of 11 counties logged
Top 30
| • Liptovský Mikuláš: 3 (0%) | • Tvrdošín: 1 (0%) |
3 of 7 counties logged
Top 30
| • Nitra: 2 (0%) | • Komárno: 1 (1%) | • Šaľa: 1 (1%) |
1 of 13 counties logged
Top 30
| • Brezno: 3 (1%) |
1 of 8 counties logged
Top 30
| • Bratislava V: 1 (0%) |
Austria
Regions
Counties
Vorarlberg
Tirol
Salzburg
Oberösterreich
Steiermark
Burgenland
Wien
Niederösterreich
Kärnten
9 of 9 regions logged
Top 30
| • Vorarlberg: 18 (0%) | • Oberösterreich: 1 (0%) | • Wien: 1 (0%) |
| • Tirol: 10 (0%) | • Steiermark: 1 (0%) | • Niederösterreich: 1 (0%) |
| • Salzburg: 3 (0%) | • Burgenland: 1 (0%) | • Kärnten: 1 (0%) |
15 of 94 counties logged
Top 30
| • Bregenz: 12 (1%) | • Hallein: 2 (0%) | • Neusiedl am See: 1 (0%) |
| • Schwaz: 7 (1%) | • Kufstein: 1 (0%) | • Wien: 1 (0%) |
| • Feldkirch: 3 (0%) | • Zell am See: 1 (0%) | • Bludenz: 1 (0%) |
| • Dornbirn: 2 (0%) | • Rohrbach: 1 (0%) | • Wiener Neustadt: 1 (0%) |
| • Innsbruck-Land: 2 (0%) | • Graz-Umgebung: 1 (0%) | • Wolfsberg: 1 (0%) |
4 of 4 counties logged
Top 30
| • Bregenz: 12 (1%) | • Dornbirn: 2 (0%) | |
| • Feldkirch: 3 (0%) | • Bludenz: 1 (0%) |
3 of 9 counties logged
Top 30
| • Schwaz: 7 (1%) | • Innsbruck-Land: 2 (0%) | • Kufstein: 1 (0%) |
2 of 6 counties logged
Top 30
| • Hallein: 2 (0%) | • Zell am See: 1 (0%) |
1 of 18 counties logged
Top 30
| • Rohrbach: 1 (0%) |
1 of 13 counties logged
Top 30
| • Graz-Umgebung: 1 (0%) |
1 of 9 counties logged
Top 30
| • Neusiedl am See: 1 (0%) |
1 of 1 counties logged
Top 30
| • Wien: 1 (0%) |
1 of 24 counties logged
Top 30
| • Wiener Neustadt: 1 (0%) |
1 of 10 counties logged
Top 30
| • Wolfsberg: 1 (0%) |
Hungary
Regions
Counties
Budapest
Borsod-Abaúj-Zemplén
Pest megye
Hajdú-Bihar
Komárom-Esztergom
Békés
Csongrád
Szabolcs-Szatmár-Bereg
Fejér
Győr-Moson-Sopron
Bács-Kiskun
Heves
Jász-Nagykun-Szolnok
Nógrád
14 of 20 regions logged
Top 30
| • Budapest: 9 (0%) | • Békés: 2 (1%) | • Bács-Kiskun: 1 (1%) |
| • Borsod-Abaúj-Zemplén: 5 (1%) | • Hajdú-Bihar: 2 (1%) | • Heves: 1 (0%) |
| • Pest megye: 4 (0%) | • Szabolcs-Szatmár-Bereg: 1 (0%) | • Jász-Nagykun-Szolnok: 1 (1%) |
| • Komárom-Esztergom: 2 (1%) | • Fejér: 1 (0%) | • Nógrád: 1 (0%) |
| • Csongrád: 2 (1%) | • Győr-Moson-Sopron: 1 (0%) |
18 of 175 counties logged
Top 30
| • Budapest: 9 (0%) | • Tiszaújvárosi járás: 2 (4%) | • Mosonmagyaróvári járás: 1 (1%) |
| • Miskolci járás: 3 (7%) | • Nagykőrösi járás: 1 (14%) | • Tiszakécskei járás: 1 (10%) |
| • Pilisvörösvári járás: 2 (3%) | • Szegedi járás: 1 (1%) | • Hatvani járás: 1 (5%) |
| • Hajdúnánási járás: 2 (20%) | • Budakeszi járás: 1 (0%) | • Jászapáti járás: 1 (20%) |
| • Tatabányai járás: 2 (4%) | • Csengeri járás: 1 (12%) | • Pásztói járás: 1 (2%) |
| • Mezőkovácsházai járás: 2 (13%) | • Bicskei járás: 1 (3%) | • Kisteleki járás: 1 (12%) |
1 of 1 counties logged
Top 30
| • Budapest: 9 (0%) |
2 of 16 counties logged
Top 30
| • Miskolci járás: 3 (7%) | • Tiszaújvárosi járás: 2 (4%) |
3 of 18 counties logged
Top 30
| • Pilisvörösvári járás: 2 (3%) | • Nagykőrösi járás: 1 (14%) | • Budakeszi járás: 1 (0%) |
1 of 10 counties logged
Top 30
| • Hajdúnánási járás: 2 (20%) |
1 of 6 counties logged
Top 30
| • Tatabányai járás: 2 (4%) |
1 of 9 counties logged
Top 30
| • Mezőkovácsházai járás: 2 (13%) |
2 of 7 counties logged
Top 30
| • Szegedi járás: 1 (1%) | • Kisteleki járás: 1 (12%) |
1 of 13 counties logged
Top 30
| • Csengeri járás: 1 (12%) |
1 of 8 counties logged
Top 30
| • Bicskei járás: 1 (3%) |
1 of 7 counties logged
Top 30
| • Mosonmagyaróvári járás: 1 (1%) |
1 of 11 counties logged
Top 30
| • Tiszakécskei járás: 1 (10%) |
1 of 7 counties logged
Top 30
| • Hatvani járás: 1 (5%) |
1 of 9 counties logged
Top 30
| • Jászapáti járás: 1 (20%) |
1 of 6 counties logged
Top 30
| • Pásztói járás: 1 (2%) |
Jersey
7 of 12 regions logged
Top 30
| • St. Brelade: 16 (35%) | • St. Mary: 2 (14%) | • St. Martin: 1 (5%) |
| • St. Ouen: 5 (17%) | • St. John: 2 (18%) | |
| • St. Helier: 4 (15%) | • Grouville: 2 (6%) |
Liechtenstein
Regions
Counties
Oberland
Unterland
2 of 2 regions logged
Top 30
| • Oberland: 13 (5%) | • Unterland: 9 (12%) |
11 of 11 counties logged
Top 30
| • Vaduz: 4 (11%) | • Schaan: 3 (4%) | • Planken: 1 (11%) |
| • Mauren: 3 (10%) | • Triesenberg: 1 (2%) | • Ruggell: 1 (8%) |
| • Schellenberg: 3 (23%) | • Triesen: 1 (3%) | • Gamprin: 1 (6%) |
| • Balzers: 3 (5%) | • Eschen: 1 (16%) |
6 of 6 counties logged
Top 30
| • Vaduz: 4 (11%) | • Schaan: 3 (4%) | • Triesen: 1 (3%) |
| • Balzers: 3 (5%) | • Triesenberg: 1 (2%) | • Planken: 1 (11%) |
5 of 5 counties logged
Top 30
| • Mauren: 3 (10%) | • Eschen: 1 (16%) | • Gamprin: 1 (6%) |
| • Schellenberg: 3 (23%) | • Ruggell: 1 (8%) |
Belarus
Regions
Counties
Minsk
Minsk Region
Hrodna Region
3 of 7 regions logged
Top 30
| • Minsk: 17 (20%) | • Minsk Region: 3 (6%) | • Hrodna Region: 1 (5%) |
4 of 129 counties logged
Top 30
| • Minsk: 17 (20%) | • Smalyavichy District: 1 (100%) | |
| • Nesvizh District: 2 (66%) | • Karelichy District: 1 (33%) |
1 of 1 counties logged
Top 30
| • Minsk: 17 (20%) |
2 of 23 counties logged
Top 30
| • Nesvizh District: 2 (66%) | • Smalyavichy District: 1 (100%) |
1 of 18 counties logged
Top 30
| • Karelichy District: 1 (33%) |
Iceland
Regions
Counties
Southern Region
Southern Peninsula
Eastern Region
Northeastern Region
Western Region
Capital Region
Westfjords
Northwestern Region
8 of 8 regions logged
Top 30
| • Southern Region: 7 (3%) | • Northeastern Region: 2 (0%) | • Westfjords: 1 (1%) |
| • Southern Peninsula: 4 (3%) | • Western Region: 2 (2%) | • Northwestern Region: 1 (1%) |
| • Eastern Region: 3 (2%) | • Capital Region: 1 (0%) |
16 of 69 counties logged
Top 30
| • Grindavíkurbær: 3 (6%) | • Mýrdalshreppur: 1 (4%) | • Eyja- og Miklaholtshreppur: 1 (50%) |
| • Bláskógabyggð: 2 (6%) | • Hafnarfjordur: 1 (4%) | • Húnaþing vestra: 1 (14%) |
| • Skútustaðahreppur: 2 (7%) | • Borgarbyggð: 1 (4%) | • Rangárþing eystra: 1 (2%) |
| • Vestmannaeyjar: 2 (25%) | • Reykjanesbær: 1 (2%) | • Múlaþing: 1 (2%) |
| • Sveitarfélagið Hornafjörður: 1 (2%) | • Ísafjarðarbær: 1 (5%) | |
| • Skaftárhreppur: 1 (4%) | • Fljótsdalshreppur: 1 (25%) |
5 of 14 counties logged
Top 30
| • Bláskógabyggð: 2 (6%) | • Skaftárhreppur: 1 (4%) | • Rangárþing eystra: 1 (2%) |
| • Vestmannaeyjar: 2 (25%) | • Mýrdalshreppur: 1 (4%) |
2 of 4 counties logged
Top 30
| • Grindavíkurbær: 3 (6%) | • Reykjanesbær: 1 (2%) |
3 of 5 counties logged
Top 30
| • Sveitarfélagið Hornafjörður: 1 (2%) | • Fljótsdalshreppur: 1 (25%) | • Múlaþing: 1 (2%) |
1 of 13 counties logged
Top 30
| • Skútustaðahreppur: 2 (7%) |
2 of 10 counties logged
Top 30
| • Borgarbyggð: 1 (4%) | • Eyja- og Miklaholtshreppur: 1 (50%) |
1 of 7 counties logged
Top 30
| • Hafnarfjordur: 1 (4%) |
1 of 9 counties logged
Top 30
| • Ísafjarðarbær: 1 (5%) |
1 of 7 counties logged
Top 30
| • Húnaþing vestra: 1 (14%) |
Italy
Regions
Counties
Trentino-Alto Adige
Lombardia
Sicilia
Campania
Friuli-Venezia Giulia
Veneto
Lazio
7 of 20 regions logged
Top 30
| • Trentino-Alto Adige: 8 (0%) | • Campania: 1 (0%) | • Lazio: 1 (0%) |
| • Lombardia: 5 (0%) | • Friuli-Venezia Giulia: 1 (0%) | |
| • Sicilia: 2 (0%) | • Veneto: 1 (0%) |
9 of 107 counties logged
Top 30
| • Trento: 7 (0%) | • Trapani: 1 (1%) | • Verona: 1 (0%) |
| • Brescia: 5 (1%) | • Bolzano - Bozen: 1 (0%) | • Roma Capitale: 1 (0%) |
| • Salerno: 1 (0%) | • Udine: 1 (0%) | • Palermo: 1 (0%) |
2 of 2 counties logged
Top 30
| • Trento: 7 (0%) | • Bolzano - Bozen: 1 (0%) |
1 of 12 counties logged
Top 30
| • Brescia: 5 (1%) |
2 of 9 counties logged
Top 30
| • Trapani: 1 (1%) | • Palermo: 1 (0%) |
1 of 5 counties logged
Top 30
| • Salerno: 1 (0%) |
1 of 4 counties logged
Top 30
| • Udine: 1 (0%) |
1 of 7 counties logged
Top 30
| • Verona: 1 (0%) |
1 of 5 counties logged
Top 30
| • Roma Capitale: 1 (0%) |
Isle of Man
Regions
Counties
Rushen
Middle
Glenfaba
Ayre
4 of 6 regions logged
Top 30
| • Rushen: 10 (5%) | • Glenfaba: 1 (0%) | |
| • Middle: 2 (0%) | • Ayre: 1 (1%) |
7 of 24 counties logged
Top 30
| • Malew: 4 (5%) | • Port Erin: 1 (7%) | • Port Saint Mary: 1 (14%) |
| • Castletown: 4 (22%) | • German: 1 (0%) | |
| • Douglas: 2 (3%) | • Bride: 1 (11%) |
4 of 6 counties logged
Top 30
| • Malew: 4 (5%) | • Port Erin: 1 (7%) | |
| • Castletown: 4 (22%) | • Port Saint Mary: 1 (14%) |
1 of 5 counties logged
Top 30
| • Douglas: 2 (3%) |
1 of 3 counties logged
Top 30
| • German: 1 (0%) |
1 of 3 counties logged
Top 30
| • Bride: 1 (11%) |
Australia
Regions
Counties
Northern Territory
Victoria
South Australia
Queensland
New South Wales
5 of 8 regions logged
Top 30
| • Northern Territory: 4 (0%) | • South Australia: 3 (0%) | • New South Wales: 1 (0%) |
| • Victoria: 3 (0%) | • Queensland: 1 (0%) |
6 of 544 counties logged
Top 30
| • Macdonnell: 4 (1%) | • Unincorporated SA: 2 (0%) | • Coober Pedy: 1 (9%) |
| • Northern Grampians: 3 (0%) | • Mareeba: 1 (2%) | • Byron: 1 (1%) |
1 of 18 counties logged
Top 30
| • Macdonnell: 4 (1%) |
1 of 80 counties logged
Top 30
| • Northern Grampians: 3 (0%) |
2 of 71 counties logged
Top 30
| • Unincorporated SA: 2 (0%) | • Coober Pedy: 1 (9%) |
1 of 78 counties logged
Top 30
| • Mareeba: 1 (2%) |
1 of 129 counties logged
Top 30
| • Byron: 1 (1%) |
Guernsey
Regions
Counties
Guernsey
1 of 2 regions logged
Top 30
| • Guernsey: 10 (2%) |
5 of 12 counties logged
Top 30
| • St Peter Port: 4 (11%) | • St Sampson: 1 (4%) | • St Saviour: 1 (2%) |
| • Guernsey: 3 (7%) | • St Martin: 1 (2%) |
5 of 11 counties logged
Top 30
| • St Peter Port: 4 (11%) | • St Sampson: 1 (4%) | • St Saviour: 1 (2%) |
| • Guernsey: 3 (7%) | • St Martin: 1 (2%) |
Canada
Regions
Counties
Alberta
British Columbia
Ontario
3 of 13 regions logged
Top 30
| • Alberta: 5 (0%) | • British Columbia: 4 (0%) | • Ontario: 1 (0%) |
6 of 287 counties logged
Top 30
| • Canmore, Division No. 15: 5 (0%) | • Capital: 1 (0%) | • Prince Edward: 1 (0%) |
| • Greater Vancouver: 1 (0%) | • Alberni-Clayoquot: 1 (0%) | • Fraser-Fort George: 1 (0%) |
1 of 19 counties logged
Top 30
| • Canmore, Division No. 15: 5 (0%) |
4 of 29 counties logged
Top 30
| • Greater Vancouver: 1 (0%) | • Alberni-Clayoquot: 1 (0%) | |
| • Capital: 1 (0%) | • Fraser-Fort George: 1 (0%) |
1 of 49 counties logged
Top 30
| • Prince Edward: 1 (0%) |
Netherlands
Regions
Counties
Limburg
Groningen
Drenthe
Friesland
Gelderland
Noord-Brabant
Overijssel
7 of 12 regions logged
Top 30
| • Groningen: 2 (0%) | • Friesland: 1 (0%) | • Overijssel: 1 (0%) |
| • Limburg: 2 (0%) | • Gelderland: 1 (0%) | |
| • Drenthe: 1 (0%) | • Noord-Brabant: 1 (0%) |
8 of 344 counties logged
Top 30
| • Westerwolde: 2 (1%) | • Heumen: 1 (1%) | • Vaals: 1 (3%) |
| • Emmen: 1 (0%) | • Land van Cuijk: 1 (0%) | • Gennep: 1 (2%) |
| • Harlingen: 1 (20%) | • Hardenberg: 1 (0%) |
2 of 31 counties logged
Top 30
| • Vaals: 1 (3%) | • Gennep: 1 (2%) |
1 of 10 counties logged
Top 30
| • Westerwolde: 2 (1%) |
1 of 12 counties logged
Top 30
| • Emmen: 1 (0%) |
1 of 18 counties logged
Top 30
| • Harlingen: 1 (20%) |
1 of 51 counties logged
Top 30
| • Heumen: 1 (1%) |
1 of 56 counties logged
Top 30
| • Land van Cuijk: 1 (0%) |
1 of 25 counties logged
Top 30
| • Hardenberg: 1 (0%) |
Israel
Regions
Counties
South
North
Tel Aviv
Jerusalem
Center
Haifa
6 of 6 regions logged
Top 30
| • South: 3 (1%) | • Tel Aviv: 1 (0%) | • Center: 1 (0%) |
| • North: 2 (0%) | • Jerusalem: 1 (0%) | • Haifa: 1 (0%) |
7 of 15 counties logged
Top 30
| • Beersheba: 3 (1%) | • Golan Heights: 1 (2%) | • Haifa: 1 (0%) |
| • Tel Aviv District: 1 (0%) | • Jerusalem District: 1 (0%) | |
| • Kinneret: 1 (1%) | • Petah Tikva: 1 (0%) |
1 of 2 counties logged
Top 30
| • Beersheba: 3 (1%) |
2 of 5 counties logged
Top 30
| • Kinneret: 1 (1%) | • Golan Heights: 1 (2%) |
1 of 1 counties logged
Top 30
| • Tel Aviv District: 1 (0%) |
1 of 1 counties logged
Top 30
| • Jerusalem District: 1 (0%) |
1 of 4 counties logged
Top 30
| • Petah Tikva: 1 (0%) |
1 of 2 counties logged
Top 30
| • Haifa: 1 (0%) |
Zimbabwe
Regions
Counties
Matabeleland North
1 of 10 regions logged
Top 30
| • Matabeleland North: 8 (18%) |
1 of 57 counties logged
Top 30
| • Hwange: 8 (18%) |
1 of 7 counties logged
Top 30
| • Hwange: 8 (18%) |
Ecuador
Regions
Counties
Galápagos
Pichincha
Imbabura
Cotopaxi
Azuay
Chimborazo
6 of 24 regions logged
Top 30
| • Galápagos: 3 (14%) | • Imbabura: 1 (20%) | • Azuay: 1 (16%) |
| • Pichincha: 1 (2%) | • Cotopaxi: 1 (100%) | • Chimborazo: 1 (11%) |
8 of 221 counties logged
Top 30
| • Quito: 1 (3%) | • Cuenca: 1 (16%) | • San Cristóbal: 1 (16%) |
| • Cotacachi: 1 (33%) | • Guano: 1 (16%) | • Isabela: 1 (12%) |
| • Sigchos: 1 (100%) | • Santa Cruz: 1 (14%) |
3 of 3 counties logged
Top 30
| • Santa Cruz: 1 (14%) | • San Cristóbal: 1 (16%) | • Isabela: 1 (12%) |
1 of 8 counties logged
Top 30
| • Quito: 1 (3%) |
1 of 6 counties logged
Top 30
| • Cotacachi: 1 (33%) |
1 of 7 counties logged
Top 30
| • Sigchos: 1 (100%) |
1 of 15 counties logged
Top 30
| • Cuenca: 1 (16%) |
1 of 10 counties logged
Top 30
| • Guano: 1 (16%) |
Cabo Verde
4 of 22 regions logged
Top 30
| • Santa Catarina do Fogo: 3 (60%) | • São Filipe: 1 (100%) | |
| • Praia: 2 (100%) | • Ribeira Grande de Santiago: 1 (33%) |
Argentina
Regions
Counties
Misiones
Ciudad Autónoma de Buenos Aires
Santa Cruz
Mendoza
Jujuy
5 of 24 regions logged
Top 30
| • Misiones: 3 (7%) | • Santa Cruz: 1 (2%) | • Jujuy: 1 (3%) |
| • Ciudad Autónoma de Buenos Aires: 1 (0%) | • Mendoza: 1 (0%) |
5 of 526 counties logged
Top 30
| • Iguazú (Departamento): 3 (14%) | • Lago Argentino: 1 (6%) | • Humahuaca (Departamento): 1 (25%) |
| • Comuna 2: 1 (2%) | • Luján de Cuyo (Departamento): 1 (4%) |
1 of 17 counties logged
Top 30
| • Iguazú (Departamento): 3 (14%) |
1 of 14 counties logged
Top 30
| • Comuna 2: 1 (2%) |
1 of 7 counties logged
Top 30
| • Lago Argentino: 1 (6%) |
1 of 18 counties logged
Top 30
| • Luján de Cuyo (Departamento): 1 (4%) |
1 of 16 counties logged
Top 30
| • Humahuaca (Departamento): 1 (25%) |
Peru
Regions
Counties
Cusco
Arequipa
2 of 25 regions logged
Top 30
| • Cusco: 4 (12%) | • Arequipa: 1 (1%) |
3 of 196 counties logged
Top 30
| • Urubamba: 3 (23%) | • Caylloma: 1 (8%) | • Cusco: 1 (20%) |
2 of 13 counties logged
Top 30
| • Urubamba: 3 (23%) | • Cusco: 1 (20%) |
1 of 8 counties logged
Top 30
| • Caylloma: 1 (8%) |
Malta
Regions
Counties
Gozo Region
Southern Region
2 of 5 regions logged
Top 30
| • Gozo Region: 4 (5%) | • Southern Region: 1 (1%) |
4 of 68 counties logged
Top 30
| • Żebbuġ: 2 (25%) | • Qrendi: 1 (10%) | |
| • Saint Lawrence: 1 (14%) | • Nadur: 1 (16%) |
3 of 14 counties logged
Top 30
| • Żebbuġ: 2 (25%) | • Saint Lawrence: 1 (14%) | • Nadur: 1 (16%) |
1 of 14 counties logged
Top 30
| • Qrendi: 1 (10%) |
Japan
5 of 47 regions logged
Top 30
| • Tokyo: 1 (0%) | • Nara: 1 (0%) | • Hiroshima: 1 (0%) |
| • Kanagawa: 1 (0%) | • Tochigi: 1 (0%) |
Egypt
3 of 27 regions logged
Top 30
| • Luxor Governate: 2 (40%) | • Giza: 1 (3%) | • South Sinai: 1 (1%) |
Jordan
Regions
Counties
Southern
Central
2 of 3 regions logged
Top 30
| • Southern: 3 (5%) | • Central: 1 (2%) |
3 of 12 counties logged
Top 30
| • Maan: 2 (11%) | • Aqaba: 1 (4%) | • Balqa: 1 (14%) |
2 of 4 counties logged
Top 30
| • Maan: 2 (11%) | • Aqaba: 1 (4%) |
1 of 4 counties logged
Top 30
| • Balqa: 1 (14%) |
Bolivia
Regions
Counties
Potosí
La Paz
2 of 9 regions logged
Top 30
| • Potosí: 3 (8%) | • La Paz: 1 (5%) |
2 of 112 counties logged
Top 30
| • Sur Lípez: 3 (18%) | • Manco Kapac: 1 (33%) |
1 of 16 counties logged
Top 30
| • Sur Lípez: 3 (18%) |
1 of 20 counties logged
Top 30
| • Manco Kapac: 1 (33%) |
Sri Lanka
3 of 9 regions logged
Top 30
| • Central Province: 2 (16%) | • Uva Province: 1 (10%) | • North Central Province: 1 (25%) |
Qatar
2 of 8 regions logged
Top 30
| • Al Wakrah: 2 (2%) | • Doha: 1 (2%) |
Botswana
1 of 10 regions logged
Top 30
| • Chobe: 3 (13%) |
Estonia
Regions
Counties
Saare
1 of 15 regions logged
Top 30
| • Saare: 3 (1%) |
1 of 79 counties logged
Top 30
| • Saaremaa: 3 (1%) |
1 of 3 counties logged
Top 30
| • Saaremaa: 3 (1%) |
Cyprus
Regions
Counties
Cyprus
1 of 3 regions logged
Top 30
| • Cyprus: 3 (0%) |
2 of 13 counties logged
Top 30
| • Paphos: 2 (0%) | • Famagusta: 1 (1%) |
2 of 5 counties logged
Top 30
| • Paphos: 2 (0%) | • Famagusta: 1 (1%) |
Luxembourg
Regions
Counties
Luxembourg
1 of 12 regions logged
Top 30
| • Luxembourg: 3 (0%) |
1 of 102 counties logged
Top 30
| • Luxembourg: 3 (1%) |
1 of 11 counties logged
Top 30
| • Luxembourg: 3 (1%) |
Brazil
Regions
Counties
Rio de Janeiro
Bahia
Paraná
3 of 27 regions logged
Top 30
| • Rio de Janeiro: 1 (0%) | • Bahia: 1 (5%) | • Paraná: 1 (0%) |
3 of 133 counties logged
Top 30
| • Rio de Janeiro: 1 (1%) | • Salvador: 1 (33%) | • Cascavel: 1 (2%) |
1 of 5 counties logged
Top 30
| • Rio de Janeiro: 1 (1%) |
1 of 10 counties logged
Top 30
| • Salvador: 1 (33%) |
1 of 6 counties logged
Top 30
| • Cascavel: 1 (2%) |
Bulgaria
Regions
Counties
Silistra
Burgas
2 of 28 regions logged
Top 30
| • Silistra: 2 (14%) | • Burgas: 1 (0%) |
2 of 265 counties logged
Top 30
| • Silistra: 2 (22%) | • Nesebar: 1 (1%) |
1 of 7 counties logged
Top 30
| • Silistra: 2 (22%) |
1 of 13 counties logged
Top 30
| • Nesebar: 1 (1%) |
Belgium
Regions
Counties
Liège
West-Vlaanderen
2 of 11 regions logged
Top 30
| • Liège: 2 (0%) | • West-Vlaanderen: 1 (0%) |
2 of 581 counties logged
Top 30
| • Plombières: 2 (3%) | • Oostende: 1 (1%) |
1 of 84 counties logged
Top 30
| • Plombières: 2 (3%) |
1 of 64 counties logged
Top 30
| • Oostende: 1 (1%) |
Chile
Regions
Counties
Magallanes y de la Antártica Chilena
Antofagasta
Valparaíso
3 of 16 regions logged
Top 30
| • Magallanes y de la Antártica Chilena: 1 (3%) | • Antofagasta: 1 (2%) | • Valparaíso: 1 (0%) |
3 of 56 counties logged
Top 30
| • Magallanes: 1 (8%) | • El Loa: 1 (5%) | • Isla de Pascua: 1 (12%) |
1 of 4 counties logged
Top 30
| • Magallanes: 1 (8%) |
1 of 3 counties logged
Top 30
| • El Loa: 1 (5%) |
1 of 8 counties logged
Top 30
| • Isla de Pascua: 1 (12%) |
Finland
Regions
Counties
Varsinais-Suomi
Pohjanmaa
Uusimaa
3 of 18 regions logged
Top 30
| • Varsinais-Suomi: 1 (0%) | • Pohjanmaa: 1 (0%) | • Uusimaa: 1 (0%) |
3 of 293 counties logged
Top 30
| • Turku: 1 (0%) | • Vaasa: 1 (0%) | • Helsinki: 1 (0%) |
1 of 27 counties logged
Top 30
| • Turku: 1 (0%) |
1 of 14 counties logged
Top 30
| • Vaasa: 1 (0%) |
1 of 26 counties logged
Top 30
| • Helsinki: 1 (0%) |
Moldova
1 of 36 regions logged
Top 30
| • Ungheni: 2 (28%) |
Kenya
Regions
Counties
Rift Valley
Central Kenya
2 of 8 regions logged
Top 30
| • Rift Valley: 1 (1%) | • Central Kenya: 1 (3%) |
2 of 46 counties logged
Top 30
| • Narok: 1 (6%) | • Kiambu: 1 (3%) |
1 of 13 counties logged
Top 30
| • Narok: 1 (6%) |
1 of 5 counties logged
Top 30
| • Kiambu: 1 (3%) |
Sweden
Regions
Counties
Skåne
1 of 21 regions logged
Top 30
| • Skåne: 2 (0%) |
1 of 290 counties logged
Top 30
| • Trelleborg: 2 (0%) |
1 of 33 counties logged
Top 30
| • Trelleborg: 2 (0%) |
Uruguay
2 of 19 regions logged
Top 30
| • Colonia: 1 (12%) | • Rocha: 1 (20%) |
Lithuania
Regions
Counties
Klaipėdos
Kauno
2 of 10 regions logged
Top 30
| • Klaipėdos: 1 (0%) | • Kauno: 1 (0%) |
2 of 60 counties logged
Top 30
| • Neringos: 1 (0%) | • Kauno miesto: 1 (0%) |
1 of 7 counties logged
Top 30
| • Neringos: 1 (0%) |
1 of 8 counties logged
Top 30
| • Kauno miesto: 1 (0%) |
Zambia
Regions
Counties
Southern
1 of 10 regions logged
Top 30
| • Southern: 2 (18%) |
1 of 103 counties logged
Top 30
| • Livingstone: 2 (28%) |
1 of 15 counties logged
Top 30
| • Livingstone: 2 (28%) |
Antarctica
1 of 1 regions logged
Top 30
| • Antarctica: 2 (4%) |
Laos
Regions
Counties
Bokeo
1 of 18 regions logged
Top 30
| • Bokeo: 2 (100%) |
1 of 148 counties logged
Top 30
| • Tonpheung: 2 (100%) |
1 of 5 counties logged
Top 30
| • Tonpheung: 2 (100%) |
United Arab Emirates
2 of 7 regions logged
Top 30
| • Abu Dhabi Emirate: 1 (0%) | • Dubai: 1 (0%) |
Slovenia
Regions
Counties
Primorsko-notranjska
Gorenjska
2 of 12 regions logged
Top 30
| • Primorsko-notranjska: 1 (0%) | • Gorenjska: 1 (0%) |
2 of 212 counties logged
Top 30
| • Cerknica: 1 (3%) | • Kranjska Gora: 1 (0%) |
1 of 6 counties logged
Top 30
| • Cerknica: 1 (3%) |
1 of 18 counties logged
Top 30
| • Kranjska Gora: 1 (0%) |
Russia
Regions
Counties
Siberian Federal District
South Federal District
2 of 8 regions logged
Top 30
| • Siberian Federal District: 1 (3%) | • South Federal District: 1 (1%) |
2 of 85 counties logged
Top 30
| • Irkutsk Oblast: 1 (11%) | • Volgograd Oblast: 1 (20%) |
1 of 10 counties logged
Top 30
| • Irkutsk Oblast: 1 (11%) |
1 of 8 counties logged
Top 30
| • Volgograd Oblast: 1 (20%) |
Hong Kong
Regions
Counties
New Territories
Hong Kong Island
2 of 3 regions logged
Top 30
| • New Territories: 1 (0%) | • Hong Kong Island: 1 (0%) |
2 of 18 counties logged
Top 30
| • Islands District: 1 (0%) | • Wan Chai District: 1 (1%) |
1 of 9 counties logged
Top 30
| • Islands District: 1 (0%) |
1 of 4 counties logged
Top 30
| • Wan Chai District: 1 (1%) |
Aland Islands
Regions
Counties
Ålands landsbygd
1 of 3 regions logged
Top 30
| • Ålands landsbygd: 1 (0%) |
1 of 16 counties logged
Top 30
| • Saltvik: 1 (4%) |
1 of 9 counties logged
Top 30
| • Saltvik: 1 (4%) |
North Macedonia
Regions
Counties
Southwestern Region
1 of 8 regions logged
Top 30
| • Southwestern Region: 1 (2%) |
1 of 80 counties logged
Top 30
| • Ohrid: 1 (2%) |
1 of 9 counties logged
Top 30
| • Ohrid: 1 (2%) |
San Marino
Regions
Counties
San Marino
1 of 1 regions logged
Top 30
| • San Marino: 1 (2%) |
1 of 9 counties logged
Top 30
| • Città di San Marino: 1 (5%) |
1 of 9 counties logged
Top 30
| • Città di San Marino: 1 (5%) |
Cambodia
1 of 25 regions logged
Top 30
| • Phnom Penh: 1 (4%) |
Vatican City State
1 of 1 regions logged
Top 30
| • Civitas Vaticana: 1 (6%) |
Morocco
Regions
Counties
Drâa-Tafilalet
1 of 10 regions logged
Top 30
| • Drâa-Tafilalet: 1 (1%) |
1 of 69 counties logged
Top 30
| • Tinghir: 1 (8%) |
1 of 5 counties logged
Top 30
| • Tinghir: 1 (8%) |
Mongolia
1 of 22 regions logged
Top 30
| • Ulaanbaatar: 1 (0%) |
Martinique
Regions
Counties
Saint-Pierre
1 of 4 regions logged
Top 30
| • Saint-Pierre: 1 (1%) |
1 of 34 counties logged
Top 30
| • Saint-Pierre: 1 (6%) |
1 of 8 counties logged
Top 30
| • Saint-Pierre: 1 (6%) |
Croatia
Regions
Counties
Jadranska Hrvatska
1 of 2 regions logged
Top 30
| • Jadranska Hrvatska: 1 (0%) |
1 of 21 counties logged
Top 30
| • Primorsko-goranska: 1 (0%) |
1 of 7 counties logged
Top 30
| • Primorsko-goranska: 1 (0%) |
Türkiye
Regions
Counties
Doğu Anadolu Bölgesi
1 of 7 regions logged
Top 30
| • Doğu Anadolu Bölgesi: 1 (5%) |
1 of 81 counties logged
Top 30
| • Van: 1 (33%) |
1 of 14 counties logged
Top 30
| • Van: 1 (33%) |
Albania
Regions
Counties
Southern Albania
1 of 3 regions logged
Top 30
| • Southern Albania: 1 (1%) |
1 of 12 counties logged
Top 30
| • Vlorës: 1 (3%) |
1 of 5 counties logged
Top 30
| • Vlorës: 1 (3%) |
Norway
Regions
Counties
Troms og Finnmark
1 of 11 regions logged
Top 30
| • Troms og Finnmark: 1 (0%) |
1 of 356 counties logged
Top 30
| • Nordkapp: 1 (2%) |
1 of 39 counties logged
Top 30
| • Nordkapp: 1 (2%) |
Saint Lucia
Regions
Counties
Saint Lucia
1 of 1 regions logged
Top 30
| • Saint Lucia: 1 (5%) |
1 of 10 counties logged
Top 30
| • Castries: 1 (20%) |
1 of 10 counties logged
Top 30
| • Castries: 1 (20%) |
Tanzania
Regions
Counties
Zanzibar
1 of 7 regions logged
Top 30
| • Zanzibar: 1 (3%) |
1 of 30 counties logged
Top 30
| • Unguja Kusini: 1 (6%) |
1 of 5 counties logged
Top 30
| • Unguja Kusini: 1 (6%) |
Latvia
Regions
Counties
Vidzeme
1 of 4 regions logged
Top 30
| • Vidzeme: 1 (0%) |
1 of 43 counties logged
Top 30
| • Rīga: 1 (0%) |
1 of 19 counties logged
Top 30
| • Rīga: 1 (0%) |
Montenegro
Regions
Counties
Coastal
1 of 3 regions logged
Top 30
| • Coastal: 1 (0%) |
1 of 24 counties logged
Top 30
| • Bar: 1 (5%) |
1 of 6 counties logged
Top 30
| • Bar: 1 (5%) |
Myanmar
Regions
Counties
Central
1 of 6 regions logged
Top 30
| • Central: 1 (6%) |
1 of 15 counties logged
Top 30
| • Mandalay: 1 (6%) |
1 of 3 counties logged
Top 30
| • Mandalay: 1 (6%) |
Ukraine
Regions
Counties
Lviv Oblast
1 of 25 regions logged
Top 30
| • Lviv Oblast: 1 (0%) |
1 of 155 counties logged
Top 30
| • Lviv: 1 (1%) |
1 of 7 counties logged
Top 30
| • Lviv: 1 (1%) |
Bosnia and Herzegovina
Regions
Counties
Bosnia and Herzegovina
1 of 3 regions logged
Top 30
| • Bosnia and Herzegovina: 1 (0%) |
1 of 12 counties logged
Top 30
| • Herzegovina-Neretva Canton: 1 (2%) |
1 of 10 counties logged
Top 30
| • Herzegovina-Neretva Canton: 1 (2%) |
Taiwan
Regions
Counties
New Taipei
1 of 8 regions logged
Top 30
| • New Taipei: 1 (0%) |
1 of 22 counties logged
Top 30
| • New Taipei: 1 (0%) |
1 of 1 counties logged
Top 30
| • New Taipei: 1 (0%) |
Faroe Islands
1 of 6 regions logged
Top 30
| • Eysturoyar: 1 (4%) |
Vietnam
Regions
Counties
Red River Delta
1 of 8 regions logged
Top 30
| • Red River Delta: 1 (1%) |
1 of 63 counties logged
Top 30
| • Hanoi: 1 (2%) |
1 of 10 counties logged
Top 30
| • Hanoi: 1 (2%) |
Macao
Regions
Counties
Macau
1 of 1 regions logged
Top 30
| • Macau: 1 (1%) |
1 of 8 counties logged
Top 30
| • Coloane: 1 (8%) |
1 of 8 counties logged
Top 30
| • Coloane: 1 (8%) |
Malaysia
Regions
Counties
Semenanjung Malaysia
1 of 2 regions logged
Top 30
| • Semenanjung Malaysia: 1 (0%) |
1 of 16 counties logged
Top 30
| • Kuala Lumpur: 1 (0%) |
1 of 13 counties logged
Top 30
| • Kuala Lumpur: 1 (0%) |
Saint Vincent and the Grenadines
Regions
Counties
Saint Vincent and the Grenadines
1 of 1 regions logged
Top 30
| • Saint Vincent and the Grenadines: 1 (6%) |
1 of 6 counties logged
Top 30
| • Grenadines: 1 (16%) |
1 of 6 counties logged
Top 30
| • Grenadines: 1 (16%) |
Singapore
1 of 5 regions logged
Top 30
| • Northwest: 1 (0%) |
South Korea
Regions
Counties
Seoul
1 of 17 regions logged
Top 30
| • Seoul: 1 (0%) |
1 of 229 counties logged
Top 30
| • Songpa-gu: 1 (0%) |
1 of 25 counties logged
Top 30
| • Songpa-gu: 1 (0%) |
Guadeloupe
Regions
Counties
Pointe-à-Pitre
1 of 2 regions logged
Top 30
| • Pointe-à-Pitre: 1 (0%) |
1 of 32 counties logged
Top 30
| • Saint-François: 1 (1%) |
1 of 14 counties logged
Top 30
| • Saint-François: 1 (1%) |
Paraguay
Regions
Counties
Región Oriental
1 of 2 regions logged
Top 30
| • Región Oriental: 1 (4%) |
1 of 18 counties logged
Top 30
| • Asunción: 1 (100%) |
1 of 15 counties logged
Top 30
| • Asunción: 1 (100%) |
Serbia
Regions
Counties
Central Serbia
1 of 3 regions logged
Top 30
| • Central Serbia: 1 (0%) |
1 of 63 counties logged
Top 30
| • City of Belgrade: 1 (0%) |
1 of 18 counties logged
Top 30
| • City of Belgrade: 1 (0%) |
ralf_de has received 43 badge rewards
Data from 2023-01-12
BadgeGen v4
A total of 43 badges achieved: 36 gemstones and 7 medals
- • Diamond: 19
- • Emerald: 7
- • Sapphire: 4
- • Ruby: 6
- • Platinum: 2
- • Gold: 1
- • Silver: 2
- • Bronze: 2
A total number of 35 addons has been achieved.
Lab cache finds are not included. Paid members can enable the inclusion via settings.
Country Badges
A total of 93 country badges achieved: 39 gemstones and 54 medals
- • Diamond: 18
- • Emerald: 2
- • Sapphire: 16
- • Ruby: 3
- • Platinum: 8
- • Gold: 13
- • Silver: 9
- • Bronze: 24
A total number of 20 country addons has been achieved.
Belt
Badge information
Belt information
| Bronze | Silver | Gold | Platinum | Ruby | Sapphire | Emerald | Diamond | Current | Remaining | |
|---|---|---|---|---|---|---|---|---|---|---|
| The Matrix Cacher (Diamond) | ||||||||||
 |
25 | 35 | 50 | 60 | 70 | 78 | 80 | 81 | 726 | 3 (3%) |
| Awarded for progressing on the 81 D/T rating combination matrix. | ||||||||||
| The Attribute Cacher (Diamond) | ||||||||||
 |
50 | 70 | 82 | 88 | 94 | 100 | 105 | 108 | 755 | 1 (0%) |
| Awarded for logging various attributes. | ||||||||||
| The Calendar Cacher (Diamond) | ||||||||||
 |
90 | 150 | 220 | 280 | 330 | 350 | 365 | 366 | 2186 | 10 (2%) |
| Awarded for finding caches on different calendar days. | ||||||||||
| The Daily Cacher (Diamond) | ||||||||||
 |
7 | 14 | 30 | 60 | 122 | 183 | 274 | 365 | 1830 | 360 (98%) |
| Awarded for logging geocaches on consecutive days. | ||||||||||
| The Wherigo Cacher (Diamond) | ||||||||||
 |
2 | 3 | 5 | 10 | 15 | 25 | 40 | 60 | 280 | 20 (33%) |
| Awarded for finding Wherigo caches. | ||||||||||
| The Letterboxer (Diamond) | ||||||||||
 |
5 | 6 | 7 | 8 | 10 | 15 | 25 | 50 | 167 | 33 (66%) |
| Awarded for finding Letterbox Hybrid caches. | ||||||||||
| The Brainiac (Diamond) | ||||||||||
 |
2 | 4 | 6 | 10 | 15 | 30 | 50 | 100 | 356 | 44 (43%) |
| Awarded for finding Difficulty 5 caches. | ||||||||||
| The Traveling Cacher (Diamond) | ||||||||||
 |
2 | 3 | 5 | 8 | 12 | 18 | 25 | 35 | 93 | 12 (34%) |
| Awarded for finding caches in different countries. | ||||||||||
| The Earth Cacher (Diamond) | ||||||||||
 |
5 | 10 | 20 | 30 | 50 | 80 | 120 | 180 | 330 | 30 (16%) |
| Awarded for finding Earthcaches. | ||||||||||
| The Virtual Cacher (Diamond) | ||||||||||
 |
5 | 10 | 20 | 30 | 50 | 80 | 120 | 180 | 249 | 111 (61%) |
| Awarded for finding Virtual caches. | ||||||||||
| The Social Cacher (Diamond) | ||||||||||
 |
5 | 10 | 20 | 30 | 50 | 80 | 120 | 180 | 236 | 124 (68%) |
| Awarded for attending Event caches. | ||||||||||
| The Environmental Cacher (Diamond) | ||||||||||
 |
2 | 3 | 4 | 5 | 6 | 8 | 10 | 12 | 12 | 12 (100%) |
| Awarded for attending CITO event. | ||||||||||
| The Diverse Cacher (Diamond) | ||||||||||
 |
3 | 4 | 6 | 7 | 8 | 9 | 10 | 11 | 11 | - |
| Awarded for finding distinct cache types in a day. | ||||||||||
| The Micro Cacher (Diamond) | ||||||||||
 |
200 | 300 | 500 | 800 | 1200 | 1800 | 3000 | 4500 | 4875 | 4125 (91%) |
| Awarded for finding micro size caches. | ||||||||||
| The Rugged Cacher (Diamond) | ||||||||||
 |
5 | 10 | 20 | 30 | 50 | 70 | 100 | 150 | 158 | 142 (94%) |
| Awarded for finding Terrain 5 caches. | ||||||||||
| The Busy Cacher (Diamond) | ||||||||||
 |
20 | 30 | 50 | 80 | 120 | 180 | 270 | 400 | 480 | 320 (80%) |
| Awarded for finding many caches on a single date. | ||||||||||
| The Long-Distance Cacher (Diamond) | ||||||||||
 |
1000 | 1200 | 1500 | 2000 | 2900 | 4200 | 6400 | 10000 | 15819 | - |
| Awarded for finding a cache far from home. | ||||||||||
| The High Altitude Cacher (Diamond) | ||||||||||
 |
500 | 1000 | 1500 | 2000 | 2500 | 3000 | 3500 | 4500 | 6254 | - |
| Awarded for finding a cache at high elevations. | ||||||||||
| The Low Altitude Cacher (Diamond) | ||||||||||
 |
0 | -1 | -5 | -10 | -25 | -40 | -60 | -100 | -422 | - |
| Awarded for finding a cache at low elevations. | ||||||||||
| The Mysterious Cacher (Emerald) | ||||||||||
 |
50 | 100 | 200 | 300 | 500 | 800 | 1200 | 1800 | 1572 | 228 (38%) |
| Awarded for finding Mystery/Unknown caches. | ||||||||||
| The Photogenic Cacher (Emerald) | ||||||||||
 |
2 | 3 | 5 | 8 | 12 | 18 | 25 | 40 | 32 | 8 (53%) |
| Awarded for finding Webcam caches. | ||||||||||
| The Odd-sized Cacher (Emerald) | ||||||||||
 |
75 | 125 | 200 | 300 | 450 | 600 | 800 | 1200 | 866 | 334 (83%) |
| Awarded for finding Other/Unknown size caches. | ||||||||||
| The Small Cacher (Emerald) | ||||||||||
 |
150 | 200 | 300 | 500 | 800 | 1200 | 1800 | 3000 | 1812 | 1188 (99%) |
| Awarded for finding small size caches. | ||||||||||
| The Adventurous Cacher (Emerald) | ||||||||||
 |
1 | 2 | 3 | 5 | 8 | 12 | 18 | 30 | 28 | 2 (16%) |
| Awarded for finding caches with a 5/5 Difficulty/Terrain rating. | ||||||||||
| The Favorite Cacher (Emerald) | ||||||||||
 |
10000 | 30000 | 60000 | 100000 | 170000 | 250000 | 350000 | 500000 | 433807 | 66193 (44%) |
| Awarded for finding caches with favorite points. | ||||||||||
| The All Around Cacher (Emerald) | ||||||||||
 |
90 | 120 | 180 | 270 | 300 | 330 | 350 | 360 | 356 | 4 (40%) |
| Awarded for logging caches in all 360 degree sectors from home. | ||||||||||
| The Geocacher (Sapphire) | ||||||||||
 |
500 | 1000 | 2000 | 3000 | 5000 | 8000 | 12000 | 18000 | 8312 | 3688 (92%) |
| Awarded for logging geocaches in general. | ||||||||||
| The Shutterbug (Sapphire) | ||||||||||
 |
50 | 75 | 150 | 250 | 500 | 750 | 1500 | 2500 | 1071 | 429 (57%) |
| Awarded for uploading photos to logs. | ||||||||||
| The Caching Veteran (Sapphire) | ||||||||||
 |
2 | 3 | 4 | 5 | 6 | 7 | 8 | 10 | 7 | 1 (100%) |
| Awarded for finding caches in different years. | ||||||||||
| The Event Host (Sapphire) | ||||||||||
 |
1 | 2 | 3 | 5 | 8 | 12 | 18 | 30 | 16 | 2 (33%) |
| Awarded for hosting any type of event caches. | ||||||||||
| The Traditional Cacher (Ruby) | ||||||||||
 |
400 | 1000 | 2000 | 3000 | 5000 | 7000 | 10000 | 14000 | 5198 | 1802 (90%) |
| Awarded for finding Traditional caches. | ||||||||||
| The Large Cacher (Ruby) | ||||||||||
 |
3 | 10 | 20 | 40 | 60 | 80 | 120 | 180 | 77 | 3 (15%) |
| Awarded for finding large size caches. | ||||||||||
| The FTF Addict (Ruby) | ||||||||||
 |
15 | 20 | 30 | 50 | 80 | 120 | 180 | 300 | 84 | 36 (90%) |
| Awarded for being First-to-Find. | ||||||||||
| The Achiever (Ruby) | ||||||||||
 |
5 | 20 | 40 | 80 | 150 | 225 | 350 | 500 | 186 | 39 (52%) |
| Awarded for logging Challenge caches. | ||||||||||
| The Jasmer Cacher (Ruby) | ||||||||||
 |
36 | 72 | 144 | 216 | 255 | 263 | 269 | 272 | 262 | 1 (12%) |
| Awarded for logging caches hidden different months. | ||||||||||
| The Author (Ruby) | ||||||||||
 |
30 | 40 | 50 | 60 | 70 | 80 | 90 | 100 | 78 | 2 (20%) |
| Awarded for writing longer logs. | ||||||||||
| The Mega Social Cacher (Platinum) | ||||||||||
 |
1 | 2 | 3 | 4 | 5 | 6 | 8 | 10 | 4 | 1 (100%) |
| Awarded for attending Mega Event caches. | ||||||||||
| The Regular Cacher (Platinum) | ||||||||||
 |
100 | 150 | 225 | 350 | 550 | 800 | 1200 | 1600 | 420 | 130 (65%) |
| Awarded for finding regular size caches. | ||||||||||
| The Multi Cacher (Gold) | ||||||||||
 |
50 | 100 | 200 | 300 | 500 | 800 | 1000 | 1200 | 229 | 71 (71%) |
| Awarded for finding Multi caches. | ||||||||||
| The Giga Social Cacher (Silver) | ||||||||||
 |
1 | 1 | 2 | 3 | 3 | 4 | 5 | 6 | 1 | 1 (100%) |
| Awarded for attending Giga Event caches. | ||||||||||
| The Trackable Lover (Silver) | ||||||||||
 |
50 | 100 | 200 | 300 | 500 | 800 | 1200 | 1800 | 185 | 15 (15%) |
| Awarded for discovering Trackables. | ||||||||||
| The Cache Owner (Bronze) | ||||||||||
 |
10 | 15 | 20 | 30 | 50 | 80 | 120 | 200 | 13 | 2 (40%) |
| Awarded for hiding caches. | ||||||||||
| The Favorited Owner (Bronze) | ||||||||||
 |
25 | 40 | 60 | 90 | 150 | 210 | 320 | 500 | 29 | 11 (73%) |
| Awarded for receiving favorite points on owned caches. | ||||||||||
| The GPS Maze Cacher | ||||||||||
 |
1 | 1 | 1 | 2 | 3 | 4 | 4 | 5 | 0 | 1 (100%) |
| Awarded for attending GPS Maze caches. | ||||||||||
| Count | Points | Info |
|---|---|---|
| 8312 | 83 | One point per 100 caches found. |
| 16 | 30 | 2 points per event hosted; maximum of 30 points. |
| 81 | 20.5 | 0.5 points per difficulty/terrain combination found in excess of 40 combinations. |
| 81 | 10 | 10 points for completing the Difficulty/Terrain matrix. |
| 93 | 20 | 20 points for either finding caches in 15 distinct states or 5 distinct countries. 40 points are not awarded if both conditions are satisfied. |
| 480 | 40 | 10 points per 50 caches found on day with most finds; maximum of 40 points. |
| 1830 | 140.5 | 0.5 points per 7 consecutive days with finds in largest streak; 10 point bonus at 366 days. |
| 29 | 2.9 | 0.1 points per favorite point on owned caches. |
| 11 | 22 | 2 points per distinct cache type on day with most distinct types found. |
| 4 | 8 | 2 points per distinct cache type hidden. |
| 3 | 6 | 2 points per distinct cache size hidden. |
| 84 | 30 | 0.5 points per FTF; maximum of 30 points. |
| 28 | 5 | 1 point per 5/5 Difficulty/Terrain cache found; maximum 5 points. |
| 36 | 36 | 1 point per gemstone badge, excluding country badges. |
| 7 | 14 | 2 points for every year with a cache find. |
| 366 | 29.28 | 0.08 points per calendar day cached on. No points awarded if distinct days is less than 100. The year is irrelevant. |
| 185 | 9.25 | 0.05 points per trackable moved/discovered; maximum 25 points. |
| 1049 | 25 | 0.1 points per photo uploaded to found logs; maximum 25 points. |
| ralf_de has 531.43 points and has the highest reward available. | ||
BadgeGen was originally created and maintained by Kyle Mills.
In 2020 the ownership of BadgeGen was transferred to the founder of Project-GC.
Graphical badge design by Markus (clappy), with special thanks to DrDaffy.
Legacy belts by Kyle Mills.
Statistics produced with Project-GC
Inspired by FindStatGen, a macro for GSAK
All credits for the idea should go to the author of FindStatGen
ralf_de has earned 272 souvenirs
Data from 2023-01-12
Country souvenirs
 Deutschland |
 Netherlands |
 Belgium |
 France |
 United Kingdom |
 Isle of Man |
 Guernsey |
 Jersey |
 Luxembourg |
 Greece |
 Denmark |
 Sweden |
 Sri Lanka |
 Cambodia |
 Portugal |
 Cabo Verde |
 Spain |
 Rzeczpospolita Polska |
 Argentina |
 Chile |
 Israel |
 Jordan |
 Bolivia |
 Paraguay |
 Japan |
 Russia |
 Taiwan |
 Albania |
 Finland |
 Türkiye |
 Faroe Islands |
 Åland Islands |
 Estonia |
 Canada |
 United States of America |
 Saint Lucia |
 Saint Vincent and the Grenadines |
 Brazil |
 Peru |
 Bulgaria |
 Ukraine |
 Kenya |
 Tanzania |
 Malta |
 Montenegro | Црна Гора | Crna Gora |
 Slovenia |
 Egypt |
 Morocco |
 Antarctica |
 Hong Kong |
 Myanmar |
 Vietnam |
 Ecuador |
 Iceland |
 Norway |
 Croatia |
 Bosnia and Herzegovina |
 Uruguay |
 Qatar |
 Namibia |
 Zimbabwe |
 Botswana |
 Zambia |
 South Africa |
 United Arab Emirates |
 Latvia |
 Lithuania |
 North Macedonia |
 Australia |
 Thailand |
 Macao |
 Česká Republika |
 Austria |
 Hungary |
 Italy |
 Liechtenstein |
 Slovenská republika |
 Switzerland |
 Belarus |
 Singapore (Republik Singapura) |
 Malaysia |
 Laos |
 România |
 Moldova |
 South Korea |
 Cyprus |
 San Marino |
 Vatican City State |
 Mongolia |
89 souvenirs earned in this category
Region souvenirs
 Mecklenburg-Vorpommern |
 Berlin |
 Sachsen |
 Hamburg |
 Bremen |
 Niedersachsen |
 Nordrhein-Westfalen |
 Rheinland-Pfalz |
 Saarland |
 Hessen |
 Sachsen-Anhalt |
 Thüringen |
 Brandenburg |
 Schleswig-Holstein |
 Alberta |
 British Columbia |
 Florida State |
 Louisiana State |
 New Hampshire State |
 New York State |
 Ontario |
 Illinois State |
 Michigan State |
 Minnesota State |
 North Dakota State |
 Wisconsin State |
 Wyoming State |
 Idaho State |
 South Dakota State |
 Montana State |
 California State |
 Colorado State |
 Nevada State |
 Oregon State |
 Utah State |
 Washington State |
 Northern Territory |
 South Australia |
 Victoria |
 New South Wales |
 Queensland |
 Ulster |
 Leinster |
 Dublin |
 Munster |
 Connacht |
 Bayern |
 Baden-Württemberg |
 Alabama State |
 Mississippi State |
 Vermont State |
 Maine State |
 Connecticut State |
 New Jersey State |
 Massachusetts State |
 Pennsylvania State |
 Nebraska State |
57 souvenirs earned in this category
Unique-event souvenirs
 Berlin - Hauptstadt der Spione |
 Lost in MV - MACH 3 |
 7. Brockenfrühstück - 30 Jahre Brocken wieder frei |
 Verrückte Geolausitz |
 Entenparty - QE feiert 2000 Events |
5 souvenirs earned in this category
Event-related souvenirs
 Where in the World is Signal? Australia Day 2018 |
 CITO Week, April 2018 |
 CITO 2019 Season 1 |
 2020 Community Celebration Event |
 CITO 2022 Season 2 |
5 souvenirs earned in this category
Specific-day souvenirs
 International Geocaching Day 2017 |
 Last Cache of 2017 |
 First Cache of 2018 |
 International Geocaching Day 2018 |
 International EarthCache Day 2018 |
 Thanks 2018 |
 Hello 2019 |
 International Geocaching Day 2019 |
 International EarthCache Day 2019 |
 Goodbye 2019 |
 Hello 2020 |
 Fun in all directions |
 Leap Day 2020 |
 Blue Switch Day 2020 |
 International Geocaching Day 2020 |
 International EarthCache Day 2020 |
 Last 2020 |
 First 2021 |
 Blue Switch Day 2021 |
 International Geocaching Day 2021 |
 International EarthCache Day 2021 |
 Fin 2021 |
 Once Upon a Time 2022 |
 Deuces Wild - 2's Day |
 Blue Switch Day 2022 |
 International Geocaching Day 2022 |
 International EarthCache Day 2022 |
 Drop Anchor 2022 |
 Full Sail 2023 |
29 souvenirs earned in this category
Other souvenirs
 Mary Hyde: Cuts and Keys |
 Mary Hyde: Batten Down The Hatches |
 Planetary Pursuit: Earth |
 Planetary Pursuit: Jupiter |
 Planetary Pursuit: Mars |
 Planetary Pursuit: Mercury |
 Planetary Pursuit: Neptune |
 Planetary Pursuit: Saturn |
 Planetary Pursuit: Uranus |
 Planetary Pursuit: Venus |
 Official Space Explorer |
 Planetary Pursuit: Pluto |
 Hidden Creatures: Bigfoot |
 Hidden Creatures: Fairy |
 Hidden Creatures: Kraken |
 Hidden Creatures: Unicorn |
 Hidden Creatures: Dragon |
 Hidden Creatures: Gryphon |
 Hidden Creatures: Hippocamp |
 Hidden Creatures: Mermaid |
 Hidden Creatures: Phoenix |
 Hidden Creatures: Sphinx |
 Hidden Creatures: Troll |
 Hidden Creatures: Yeti |
 Hidden Creatures: World Turtle |
 You might be an Adrenaline Junkie if... |
 You might be a Caching Connoisseur if... |
 You might be a Social Butterfly if… |
 You might be a Trackable Lover if… |
 Cache Carnival: Köln |
 Cache Carnival: New Orleans |
 Cache Carnival: Nice |
 Cache Carnival: Rio de Janeiro |
 Cache Carnival: Venezia |
 Mystery at the Museum: Briefed on the case |
 Mystery at the Museum: Evidence collected |
 Mystery at the Museum: Jewels recovered |
 Streak Week: August 2019 |
 3, 2, 1 Go! |
 Memory Lane: First geocache hidden |
 Memory Lane: First geocoin |
 Memory Lane: First Mega-Event |
 Memory Lane: One million geocaches hidden |
 Memory Lane: 20 years of geocaching |
 Modern Wonders of the World |
 Ancient Wonders of the World |
 World Explorer |
 Natural Wonders of the World |
 Solar System Wonders of the World |
 Ultimate Explorer |
 Mars Perseverance Rover |
 The Science of Discovery: Rocket science |
 The Science of Discovery: Geology |
 The Science of Discovery: Environmental science |
 The Science of Discovery: Futurology |
 Puncak Jaya Basecamp |
 Puncak Jaya Summit |
 Vinson Basecamp |
 Vinson Summit |
 Elbrus Basecamp |
 Elbrus Summit |
 Kilimanjaro Basecamp |
 Kilimanjaro Summit |
 Denali Basecamp |
 Denali Summit |
 Aconcagua Basecamp |
 Aconcagua Summit |
 Everest Basecamp |
 Everest Summit |
 Peak Performer |
 Signal’s Labyrinth: The forest |
 Locationless Cache - GC8NEAT |
 Signal’s Labyrinth: You escaped the forest |
 Signal’s Labyrinth: The swamp |
 Signal’s Labyrinth: You escaped the swamp |
 Signal’s Labyrinth: The cave |
 2022 hider |
 Signal’s Labyrinth: You escaped the cave |
 Geocaching World Record Attempt 2022 |
 Signal’s Labyrinth: The hedge maze |
 Signal’s Labyrinth: You escaped the hedge maze |
 Signal’s Labyrinth: The castle |
 Signal’s Labyrinth: You escaped the castle |
 2023 hider |
84 souvenirs earned in this category
Geotour souvenirs
 GeoTour: Draisinenspaß |
 GeoTour: Explore Fully |
 GeoTour: Sylt, Germany |
3 souvenirs earned in this category
Statistics produced with Project-GC
Inspired by FindStatGen, a macro for GSAK
All credits for the idea should go to the author of FindStatGen