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Statistics - bend it anyway you like!


Carbon Hunter

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find/list the top 20 (or 50) total cache finds (SA only and all) for SA cache owners. Thanks!

Cache owners whose caches have been found the most:

South Africa, all time:

1. louwtjievdw:	  21221	finds
2. GEO936:	          15870	finds
3. paddawan:	          13262	finds
4. NotBlonde:	          11839	finds
5. TechnoNut:	          11207	finds
6. Leon St:	          10994	finds
7. HeinG:	          10841	finds
8. pannie&medusae:	  10174	finds
9. Fish Eagle:	           9534	finds
10. CrystalFairy:	   8947	finds
11. Wazat:	           8573	finds
12. SawaSawa:	           7195	finds
13. Noddy:	           6989	finds
14. cache-fan:	           6839	finds
15. iPajero:	           6829	finds
16. timmo1977:	           6300	finds
17. Tricky Vicky & Mickey: 6247	finds
18. Antron:	           5794	finds
19. Happy Hunters SA:	   5605	finds
20. PieterM:	           5545	finds

South Africa, year ending 13 Feb. 2016:

1. louwtjievdw:	   3514	finds
2. Panters:	           2758	finds
3. TechnoNut:	           2670	finds
4. SKATTIE@1:	           2610	finds
5. Andredj:	           2332	finds
6. Evolutionaries:	   2056	finds
7. Louwtjie&Vroutjie:	   1883	finds
8. AdieA:	           1792	finds
9. ephyfer:	           1738	finds
10. paddawan:	           1701	finds
11. pannie&medusae:	   1694	finds
12. Sokkies73:	           1669	finds
13. scubie999:	           1654	finds
14. HeinG:	           1550	finds
15. GEO936:	           1541	finds
16. Leon St:	           1514	finds
17. iPajero:	           1507	finds
18. Suikerbossies:	   1366	finds
19. V-ixen:	           1339	finds
20. eneveraa:	           1319	finds

Africa, all time:

1. luisftas:	          30421	finds
2. louwtjievdw:	  21221	finds
3. ricardomariagoncas:	  20174	finds
4. Teamnegativ:	  18960	finds
5. lacruz18:	          18732	finds
6. Ballangen:	          17092	finds
7. GC Putte:	          16697	finds
8. GEO936:	          16241	finds
9. João Marçal, CarlaS:  15804	finds
10. togtog:	          14772	finds

Africa, last year:

1. GC Putte:	          10877	finds
2. Oss to:	           6887	finds
3. togtog:	           6686	finds
4. Wander Tante:	   5291	finds
5. João Marçal, CarlaS:   5186	finds
6. luisftas:	           5099	finds
7. cach-u-crew:	   4031	finds
8. Mendes&Freitas:	   3971	finds
9. louwtjievdw:	   3514	finds
10. Ballangen:	           3385	finds

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Log statistics: Part 10: Total log length per cacher

 

The South African cachers with the largest total find log length:

1. iPajero	    4843769 characters	11669 finds   416 characters/log
2. Louise_Gerhard  4704170 characters	 5266 finds   894 characters/log
3. Henzz	    3227097 characters	 4032 finds   811 characters/log
4. Leon St	    2975554 characters	 4411 finds   681 characters/log
5. Wilduvo	    2823343 characters	 2823 finds  1008 characters/log
6. TechnoNut	    2770193 characters	 4359 finds   643 characters/log
7. TeamDJ*	    2606114 characters	 1877 finds  1392 characters/log
8. pannie&medusae  2518448 characters	 2769 finds   913 characters/log
9. Wormgeocash	    2454591 characters	 3197 finds   776 characters/log
10. The Huskies	    2235923 characters	 5205 finds   439 characters/log

And graphically:

RSA%20total%20log%20length.jpg

In spite of having more than double the finds, iPajero wrote only 3% more letters than Louise_Gerhard in total!

 

The average of each cacher's average log length is 91 characters, and the median is 51 characters/log. (It should be interesting to see the correlation between average log length and number of finds - there definitely appears to be a strong correlation.)

 

Next, I'll look at the number of words (and unique words) of the top log writers.

Edited by Danie Viljoen
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A thought on why the log length has diminished over the years - nowadays many cachers use smartphones and hence write very short logs, especially while in the field. I don't use a phone to log and wait until I am at my computer to write a decent log. If the CO took the trouble to place the cache I take the trouble to write a decent log.

 

My 2c worth.

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Log statistics: Part 11: Longest total log length:

 

In part 10 we saw that iPajero beats Louise_Gerhard when their total number of characters used in logs are counted. If one counts words, the picture changes:

1. Louise_Gerhard: 936906 words
2. iPajero:	    908485 words
3. Henzz:	    636515 words
4. Leon St:	    568101 words
5. TechnoNut:	    520585 words
6. Wilduvo:	    515891 words
7. TeamDJ*:	    494769 words
8. pannie&medusae: 474439 words
9. Wormgeocash:    452665 words
10. Spesbona:	    407632 words

RSA%20most%20words%20used.jpg

(Louise_Gerhard's total is equivalent to about 14.5 average Amazon novels!)

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Log statistics: Part 12: Largest vocabulary:

The following cachers used the largest number of different words in their South African find logs:

    	        Unique words  Reuse factor
1. iPajero:	    25460	  35.7
2. Henzz:	    18512	  34.4
3. TechnoNut:	    15614	  33.3
4. Antron:	    14974	  12.6
5. Louise_Gerhard: 13894	  67.4
6. rodnjoan:	    12367	  30.4
7. cownchicken:    10867	  16.7
8. pannie&medusae:  9303	  51.0
9. The Huskies:     9256	  42.9
10. Wilduvo:	     8757	  58.9

The last column, Reuse factor, is each cacher's total number of words divided by his number of unique words. It gives an indication of how frequently words are repeated (cut-and-paste). Smaller is better.

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Log statistics: Part 13: Log length vs. no. of finds

 

In Part 10 I got the impression that there must be a correlation between the average log length and the total number of finds of a cacher; cachers with more finds write longer logs.

RSA%20log%20length%20vs%20no%20of%20finds.jpg

As this graph shows, this is indeed the case, although the correlation is lower than I expected (only 0.19).

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Log statistics: Part 14: How much of the total logs are written by the top log writers

 

My final posting on log statistics - the contribution of the top log writers:

RSA%20contribution%20of%20the%20top%20find%20log%20writers.jpg

This means, for example, that the top 100 log writers wrote just over half, and the top 200 wrote two thirds of the total number of log words.

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FP statistics: Part 1: Most Favourite Points

 

Since I last reported on this, Africa got a new favourite cache:

All of Africa:

1. GC31WXR  Table Mountain Travel Bug Hotel	             South Africa    392 FPs
2. GCDEF2   Hole in One?	                             Canary Islands  379 FPs
3. GCXG2N   Darkness - Oscuridad – Dunkelheit -Bonus Cache  Canary Islands  362 FPs
4. GCHXPA   El Gordo (Lost Place)	                     Canary Islands  355 FPs
5. GC1EPYZ  Fumaroles at the summit of Pico del Teide	     Canary Islands  320 FPs
6. GC3D4F9  Arte de Portas Abertas	                     Madeira	     300 FPs
7. GC17NCC  G.C. First EarthCache: Dunas de Maspalomas	     Canary Islands  294 FPs
8. GC2XMPK  Way to the underground	                     Canary Islands  286 FPs
9. GC25JJJ  Roque Nublo	                             Canary Islands  227 FPs
10. GC1A4KZ  CABO GIRÃO EARTHCACHE - M9	                     Madeira	     224 FPs

 

Africa, excluding the Canary Islands and Madeira:

1. GC31WXR  Table Mountain Travel Bug Hotel	             South Africa    392 FPs
2. GC1956A  Valley of the Kings	                     Egypt	     129 FPs
3. GC2D9WC  SS: Lusitania	                             South Africa    118 FPs
4. GC2EGK8  Giftun	                                     Egypt	     118 FPs
5. GCGETW   Karibu!  You made it!	                     Tanzania	     115 FPs
6. GC15WWE  Coloured Earths of Chamarel	             Mauritius	     113 FPs
7. GC3WXRQ  MEGA SA 2012 -Voortrekker "Uitspan" Travellers  South Africa    108 FPs
8. GC2X329  Stellenbosch TB Lodge	                     South Africa    100 FPs
9. GC1ABZK  Table Mountain - Cape Town	                     South Africa     98 FPs
10. GC19A92  Karnak Temple	                             Egypt	      87 FPs

 

South Africa:

1. GC31WXR  Table Mountain Travel Bug Hotel	             CapeDoc	                  Western Cape  392 FPs
2. GC2D9WC  SS: Lusitania	                             paddawan and BoazRuthFields  Western Cape  118 FPs
3. GC3WXRQ  MEGA SA 2012 -Voortrekker "Uitspan" Travellers  dolos	                  Gauteng	108 FPs
4. GC2X329  Stellenbosch TB Lodge	                     Hesamati	                  Western Cape	100 FPs
5. GC1ABZK  Table Mountain - Cape Town	                     spuzva	                  Western Cape	 98 FPs
6. GC5CW9M  MEGA Suprise	                             heatherlisa777	          Kwazulu Natal	 75 FPs
7. GC2CG7X  Hiddingh Security TB Hotel	                     Mr Panda	                  Western Cape	 70 FPs
8. GCMYYZ   Table Top Trove	                             Richter Family	          Western Cape	 65 FPs
9. GC1H9WR  2 Oceans	                                     Littleclan	                  Western Cape	 63 FPs
10. GC185    Sentinel View	                             Prof Charles Merry	          Western Cape	 61 FPs

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FP statistics: Part 2: Most FPs per province

Western Cape:					
1. GC31WXR  Table Mountain Travel Bug Hotel  CapeDoc	                  392 FPs
2. GC2D9WC  SS: Lusitania	             paddawan and BoazRuthFields  118 FPs
3. GC2X329  Stellenbosch TB Lodge	     Hesamati	                  100 FPs
4. GC1ABZK  Table Mountain - Cape Town	     spuzva	                   98 FPs
5. GC2CG7X  Hiddingh Security TB Hotel	     Mr Panda	                   70 FPs

Gauteng:					
1. GC3WXRQ  MEGA SA 2012 -Voortrekker "Uitspan" Travellers Inn  dolos	  108 FPs
2. GC1GZ0K  Little Netherlands TB Hotel	                        GEO936	   59 FPs
3. GC2EX44  Curse of the FTF # 3 - Gauteng (Guardhouse)	        Leon St    57 FPs
4. GC3R5ER  Antron's Puzzle Box I	                        Antron     51 FPs
  GC3W9N8  9Icon Walk - Trek for the Voortrekker Treasure      GoSA       51 FPs

KZN:					
1. GC5CW9M  MEGA Suprise	             heatherlisa777	           75 FPs
2. GC4QNAT  Nailed!	                     TechnoNut	                   50 FPs
3. GC31T77  Surprise Surprise	             Kwenda Tafuta	           43 FPs
  GC4P942  Stoned	                     heatherlisa777	           43 FPs
5. GC3WBZC  Caching for Dummies	             K-W Family	                   36 FPs

Mpumalanga:					
1. GC19QVQ  Three Rondavels	             CrystalFairy	           48 FPs
2. GC21VPM  God's Window	             Bouts777	                   39 FPs
3. GC1785M  Kruger National Park	     Carbon Hunter	           37 FPs
4. GCYEJN   Bourkes Maze	             CrystalFairy	           34 FPs
5. GC1NBD2  Blyde River Canyon	             RedGlobe	                   26 FPs

Eastern Cape:					
1. GC20AM9  "Kerneels se klip"	             OLLIE.Q	                   42 FPs
2. GC4NNRA  Port Elizabeth Airport TB Hotel  erenei	                   33 FPs
3. GC1K62K  Batman Returns	             TOLBOS	                   32 FPs
4. GC2MDP9  POOH CORNER SAFE	             kingrobert and custodian      31 FPs
5. GC558ZR  PE Beachfront TB Hotel	     FireflyAfrica	           28 FPs

Free State:					
1. GC40M7T  Antron's Puzzle Box II	     Antron	                   40 FPs
2. GC20XJH  Ipanema	                     louwtjievdw	           39 FPs
3. GC1WBRJ  Longfinger	                     Louwtjievdw	           33 FPs
4. GC1VB68  Waterhole	                     Antron	                   26 FPs
  GC23RQN  All the fives	             louwtjievdw	           26 FPs
  GC2EV9F  Swart Springbok	             Antron	                   26 FPs

North West:					
1. GC1BTBM  Tonteldoos VIII – Vredesboom     RedGlobe	                   35 FPs
2. GCE74    Magaliesberg 1(Maanhaarrand- NW Province)  Jakrsa & Elva	   21 FPs
3. GC3469H  TX77	                     varkstert	                   20 FPs
4. GCVDGZ   Klipspringer	             SA Rascals	                   19 FPs
5. GCGYQA   North West's Best View	     Seeker Two	                   17 FPs

Northern Cape:					
1. GC11J35  Augrabies Falls - Arrarat	     CrystalFairy	           27 FPs
2. GC1YZMP  Kimberley Big Hole	             HeinG	                   23 FPs
3. GC3DDZ5  Van der Stel Mine	             Oosthuysen Family	           15 FPs
4. GC11TGW  The Eye	                     Starsky&Hutch	           13 FPs
5. GC17HV3  Tierberg	                     hennieventer	           12 FPs
  GC20ETY  Rock stars	                     Sterreman	                   12 FPs

Limpopo:					
1. GC1N1VD  Olifants River Overlook	     Me & Bucky	                   20 FPs
2. GC1BN77  Phalaborwa Mine Viewpoint	     Daan & Zena Smit	           11 FPs
  GC25JFB  Natures Rock Art	             RedGlobe	                   11 FPs
4. GC137D0  Belas Best View	             CrystalFairy	            8 FPs
  GC15MJQ  Mapungubwe - Black Eagle	     Pipit Patrol	            8 FPs

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FP statistics: Part 3: Top archived caches

 

In case you were looking for a good place or idea for a popular cache, the following list contains the archived South African caches with the most Favourite Points:

1. GC2X329  Stellenbosch TB Lodge	  Hesamati	         Western Cape	100 FPs
2. GC5CW9M  MEGA Suprise	          heatherlisa777	 Kwazulu Natal	 75 FPs
3. GC1GZ0K  Little Netherlands TB Hotel  GEO936	         Gauteng	 59 FPs
4. GC44XCJ  Size does matter	          paddawan	         Western Cape	 52 FPs
5. GC1VJ3T  The Piston Cup	          GEO936	         Gauteng	 33 FPs
6. GC2NYNP  Puzzled Birds	          GEO936	         Gauteng	 31 FPs
7. GCW8AV   Training	                  Oceans247	         Western Cape	 30 FPs
   GC4P9A0  Documentary	          heatherlisa777	 Kwazulu Natal	 30 FPs
9. GC2KB62  Rustic, scenic, corner.      DamhuisClan & Dingbat	 Gauteng	 27 FPs
   GC5CG9Z  True or False	          Sclanders Clan	 Kwazulu Natal	 27 FPs

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FP statistics: Part 4: RSA cache owners with the most FPs:

All caches:

1. family Behrens:	830 FPs
2. TechnoNut:	        583 FPs
3. Antron:	        564 FPs
4. Hesamati:	        517 FPs
5. die sousies:	513 FPs
6. CapeDoc:	        478 FPs
7. TeamDJ*:	        447 FPs
8. Klipdrifters Trail:	438 FPs
9. GEO936:	        430 FPs
10. pannie&medusae:	409 FPs

Findable caches:

1. family Behrens:	737 FPs
2. TechnoNut:	        553 FPs
3. die sousies:	513 FPs
4. Antron:	        505 FPs
5. CapeDoc:	        458 FPs
6. TeamDJ*:	        443 FPs
7. pannie&medusae:	403 FPs
8. BoazRuthFields:	400 FPs
9. iPajero:	        363 FPs
10. Hesamati:	        341 FPs

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FP statistics: Part 5: Cache owners with the highest average FPs per cache:

To determine which cache owners have the highest average number of FPs per cache, I only considered cache owners with at least 10 findable South African caches. (I ignored all archived and event caches.)

1. CapeDoc	        458 FPs	 14 caches   32.7 FPs/cache
2. TeamDJ*	        443 FPs	 27 caches   16.4 FPs/cache
3. Henzz	        257 FPs	 16 caches   16.1 FPs/cache
4. dolos	        216 FPs	 14 caches   15.4 FPs/cache
5. mr panda	        136 FPs	 10 caches   13.6 FPs/cache
6. family Behrens	737 FPs	 61 caches   12.1 FPs/cache
7. paddawan	        225 FPs	 22 caches   10.2 FPs/cache
8. Gr8Scot	         99 FPs	 10 caches    9.9 FPs/cache
9. Antron	        505 FPs	 52 caches    9.7 FPs/cache
10. Klipdrifters Trail	312 FPs	 34 caches    9.2 FPs/cache

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FP statistics: Part 6: Cache owners with the highest FP to Finds ratio

For owners of findable South African caches (excluding events):

1. indamus	       27 FPs	43 finds   1 cache    0.628 FPs/find
2. plainoldgraham     44 FPs	77 finds   7 caches   0.571 FPs/find
3. csaba.borzon       21 FPs	37 finds   1 cache    0.568 FPs/find
4. jtomcat16	       77 FPs  151 finds  14 caches   0.510 FPs/find
5. Jafta	       15 FPs	33 finds   3 caches   0.455 FPs/find
6. Pixel and Possum   39 FPs  105 finds   1 cache    0.371 FPs/find
7. the pooks	      102 FPs  277 finds   8 caches   0.368 FPs/find
8. Geocachers of GP   19 FPs	53 finds   1 cache    0.358 FPs/find
9. Mountain Wanderer  22 FPs	62 finds  23 caches   0.355 FPs/find
10. croquetmike	       23 FPs	65 finds   1 cache    0.354 FPs/find

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Once again thanks for the stats Danie. :D

 

I have recently added 2 new countries to my tally - namely Vatican State and Andorra. Unfortunately our trip to Malta was curtailed due ti extreme weather conditions! :(:ph34r: Please could you run a list of the cachers who have cached in, say, more than 10 countries? - Thanks.

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Please could you run a list of the cachers who have cached in, say, more than 10 countries? - Thanks.

To generate such a list I would need to have access to all logs for all cachers, which I don't. I am limited to what I can collect with Pocket Queries, which at this stage only includes Africa. (Europe and/or the U.S.A. would literally require hundreds of PQs).

 

So, only looking at African countries:

1. Carbon Hunter: 17 African countries
  TDupin:	  17 African countries
3. msi999:	  15 African countries
4. lady.manuela:  14 African countries
  Amarakana:	  14 African countries
6. Hesamati:	  13 African countries
  DOBRODRUH.cz:  13 African countries
  kilronan:	  13 African countries
  Hid Pro Quo:	  13 African countries
  allargreb:	  13 African countries
  doc.schneider: 13 African countries

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Some global trackable stats - may interest you guys (received from HQ)

  • Total Activated Trackables: 3051393 (869839 Travel Bugs,2181554 geocoins/other)
  • Trackables That Have Ever Moved: 2023342
  • Trackables Currently in a User's Inventory: 1426739
  • Trackables Currently in a Cache's Inventory: 699687
  • Trackables Currently in a User's Collection: 460211
  • Trackables Marked Missing: 464756
  • Trackables Out of Circulation (No Logs in >1 Year):1850854
  • Trackables Out of Circulation but in User's Inventory: 845854
  • Trackables Out of Circulation but in Cache's Inventory:483567
  • Trackables Out of Circulation but in *Active* Cache's Inventory:299977 <-- 43% of all trackables showing in caches are thus probably not really there :(:(
  • Trackables Out of Circulation but in User's Collection: 87463
  • Trackables Out of Circulation and Marked Missing: 402354
  • Trackables Logged in 2015: 1087206
  • Trackables Logged with Discoveries in 2015: 731142
  • Trackables Logged with *Only* Discoveries in 2015: 232708
  • Trackables Logged with All Other Movement Log Types in 2015:854498

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Some global trackable stats - may interest you guys (received from HQ)

Fascinating! How did you get this - did you just ask Groundspeak?

 

One of the lackeys did some analysis - he is a very active "coin-head" - so it is something close to his heart too. And I guess like you Danie - also loves stats :anitongue:

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Some global trackable stats - may interest you guys (received from HQ)

A few observations on Carbon Hunter's trackables statistics:

  • Of the roughly 3 million activated trackables, only 29% are travel bugs; the rest are coins. This surprised me, because I see many more TBs than GCs. I suspect most of the coins never travel via caches.
  • About a third of the trackables have never moved. I assume they just sit in personal collections. (And I assume these are almost exclusively geocoins.)
  • Only 33% of the trackables that have ever moved are currently in a cache - this is even lower than I guessed.
  • The 43% of trackables that are shown to be in caches but which are probably not there is shocking. To me this indicates that the whole trackable system is broken.

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Cache type popularity over time:

I thought it would be interesting to see how the present find trends compare with say 5 years ago.

The following data is for South Africa, for the years 7 May 2015 to 6 May 2016, and 7 May 2010 to 6 May 2011.

It shows the percentage of find logs per type.

   This year  5 years ago
Traditional: 89.7%	 86.3%
Mystery:      4.4%	  4.4%
Multi:	      1.9%	  5.1%
EarthCache:   1.8%	  1.8%
Event:	      1.3%	  1.7%
Letterbox:    0.5%	  0.3%
CITO:	      0.2%	  0.1%
Wherigo:      0.1%	  0.0%
Virtual:      0.1%	  0.2%

The only big change is for multi-caches, which shows a massive drop from 5.1% of the total 5 years ago to only 1.9% now.

I am a bit surprised to see that the Event type shows a slight drop as well - there are many more events now than 5 years ago, but as a percentage of the finds total it lost popularity.

Edited by Danie Viljoen
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Cache type popularity over time, part 2:

Another way to measure cache type popularity is to look at the number of active caches of each type.

Once again, the following is for South African caches which have been found during the last year and 5 years ago, respectively:

RSA%20active%20caches%20per%20type_1.jpg

 

It is more revealing to look at the percentage increase of each type:

RSA%20increase%20over%205%20years%20per%20type.jpg

(The average increase was 138%, in other words there are now 2.38 times as many active caches as 5 years ago.)

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Cache type popularity over time, part 3:

 

The following graph shows the average number of finds per cache type, for the same periods as before:

RSA%20finds%20per%20cache%20type.jpg

The average for this year is 14.4 finds/cache, vs. 14.8 finds/cache 5 years ago.

A total of 9525 cachers logged at least one find this year, vs. 2833 five years ago.

 

So even though the number of cachers increased 3.36 times vs. 2.38 times for the number of caches, the average number of finds/cache dropped.

The average number of finds/cacher was 18.9 this year, vs. 27.5 five years ago. (31% fewer).

 

I don't have a good theory for this - maybe more single find cachers than ever?

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Find distribution: This year vs. 5 years ago:

 

Yesterday we saw that although the number of cachers increased much more than the number of caches, the average number of yearly finds per cache has dropped. The next graph explains why:

RSA%20find%20distribution%20-%20now%20vs.%205%20years%20ago.jpg

What this means is that 5 years ago, 21% of the cachers logged only a single find, vs. 25% this year. 10% logged 2 finds five years ago, vs. 14% this year. Five years ago, 61% of all South African cachers logged more than 3 finds; this year only 52% did. The opposite is true for large numbers of finds; generally a larger percentage of cachers logged these 5 years ago than during the last year. (See also the next graph.)

 

The same graph, but on a logarithmic scale:

RSA%20find%20distribution%20-%20now%20vs.%205%20years%20ago%20logarithmic.jpg

Here one can see that the crossover point is at about 8 finds.

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Container size popularity over time:

 

The following graph shows the number of finds per size, for South African caches 5 years ago as well as for the last year:

RSA%20finds%20per%20size%20now%20vs.%205%20years%20ago.jpg

 

  • Relatively speaking, the percentage of Micro finds increased by more than 9% over the last 5 years.
  • This came at the cost of mainly Small and Regular finds.

One should not draw the wrong conclusion here - Micros are not really now 43 times more popular than Large caches as this graph may seem to indicate. Although popularity does play a role, I am quite sure availability is the dominating factor here. I'll look into this next.

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Container size availability over time:

 

South African caches, found 5 years ago and during the last year, respectively:

Size	5 years ago   This year	  Increase
Micro	    1828	 5723	    213%
Small	    2247	 4761	    112%
Other	     249	 1439	    478%
Regular	    1027	 1305	     27%
Not chosen   292	  317	      9%
Large	      49	  142	    190%
Virtual	       8	    8	      0%
All	    5700	13695	    140%

RSA%20caches%20per%20size%20now%20vs.%205%20years%20ago.jpg

 

As can be seen, this graph almost exactly mirrors yesterday's graph of finds during the same periods.

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Container size popularity over time, Part 3:

 

I am still looking for an indicator that some container sizes may be preferred by finders. Yesterday we saw that the number of finds per container size were highly correlated with availability - because many more micros are placed than say Large caches, consequently many more micros are found. Let us see what happens if we compare apples with apples (or Micro with Micro!). The following graph shows the average number of (South African) finds for each size category, 5 years ago and last year:

RSA%20avg.%20finds%20per%20size%20now%20vs.%205%20years%20ago.jpg

I find this graph very interesting.

  • The only category that maintained its find rate over the last 5 years is Regular, but strangely enough, it still comes in dead last! I suspect the reason for the relatively low find rate of Regular caches is that they are not rare enough to be specially searched out, but too big for the cities, where most of the finders are.
  • I suspect the reason for the high find rate of Virtual caches is their rarity, and maybe because they are mostly at tourist attractions.

Edited by Danie Viljoen
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Cache type popularity, Part 4:

 

To conclude this series, the fairest measure of popularity is probably to compare the average number of Favourite Points of each cache type. In the following graph I only considered South African caches which have been found during the past year. (Keep in mind that FPs can't be awarded to Events.)

RSA%20Average%20FPs%20per%20cache%20type.jpg

  • Except for Virtual, which I suspect benefits from its rarity, we see the typical effect that the harder one has to work for a cache, the more it is appreciated.
  • The other anomaly is Letterbox, which surprised me with its high average number of FPs.

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Cache size popularity, Part 4:

 

Comparing the average number of Favourite Points of different cache sizes, for South African caches found durint the past year:

RSA%20Average%20FPs%20per%20container%20size.jpg

From this graph it looks quite clear that the larger cache sizes are appreciated more. (On average, a Large cache gets 9 times more FPs than a Micro!)

So if you are after FPs, a large Wherigo cache looks like the way to go!

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It has been more than a month since danie posted any stats - that is probably the longest gap since 2007 :anitongue:

Not quite, but your baiting worked!

 

Finds rank:

The following graph shows the number of South African finds for each cacher rank, for the past year. (The no. 1 cacher, Panters, logged 1975 South African finds!)

RSA%202016%20finds%20vs%20rank.jpg

A total of 9562 cachers logged at least one find during the year

2064 cachers logged at least 12 finds (my arbitrary measure of "active" cachers).

 

The top 100 cachers, on a linear scale:

RSA%202016%20finds%20vs%20rank%20linear.jpg

The top 5 are apparently chasing targets; the rest are more uniformly distributed

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Most African (and South African) finds for the past year:

1. Panters:	    1975
2. GorNat:	    1576
3. bergbokkie:	    1404
4. SKATTIE@1:	    1351
5. iPajero:	    1337
6. SpiderFinder:   1016
7. terunkie:	     985
8. fiebs team:	     977
9. ChrisDen:	     973
10. waydom:	     949

Most African (and South African) finds for the past 3 months:

1. iPajero:	     882
2. cownchicken:     521
3. Jansenators:     431
4. L S N:	     430
5. GorNat:	     421
6. terunkie:	     414
7. Urban Campers:   401
8. TinkerbellMagic: 378
9. TechnoNut:	     371
10. SpiderFinder:    369

Most South African finds during the past month:

1. iPajero:	     296
2. L S N:	     175
3. ChrisDen:	     172
4. cownchicken:     133
5. lingming:	     133
6. Geelvink:	     129
7. Katoolsie:	     114
8. Katarn1977:	     108
9. Oryx ZA:	     107
10. Worsed:	     103

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Very interesting. Thanks for the cool stats Danie!

 

I was wondering if you can generate these stats: Of the 2064 cachers who found at least 12 caches in the last year, how many of them had a find in each month of the year? I am often quite busy but always make sure that I find at least 1 cache every month and I wonder how many cachers do the same. Also, is it possible to generate these same stats to apply since the beginning of their caching career? Would be interesting to see who has maintained at least one find a month since their very first find :).

Edited by Delbadore
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I was wondering if you can generate these stats: Of the 2064 cachers who found at least 12 caches in the last year, how many of them had a find in each month of the year? I am often quite busy but always make sure that I find at least 1 cache every month and I wonder how many cachers do the same. Also, is it possible to generate these same stats to apply since the beginning of their caching career? Would be interesting to see who has maintained at least one find a month since their very first find :).

I am sure this can be done, but my knowledge of SQLite is not sufficient to generate this type of query. Sorry!

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Most South African caches placed during the past year:

1. Panters:	   202
2. PieterM:	    96
3. SKATTIE@1:	    76
4. Sokkies73:	    69
5. Andredj:	    56
6. iPajero:	    53
   Boats007:	    53
8. ephyfer:	    51
9. Evolutionaries: 49
10. WÅLDO:	    46

I find it remarkable that no less than 3 of the past year's top 10 cache finders appear on this list (Panters, SKATTIE@1 and iPajero), and Panters tops both lists by a wide margin!

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iPajero:

Our no. 1 team currently stands on 15127 finds, of which 12960 have been in South Africa. If one considers that South Africa currently has 12969 findable caches, this is a truly remarkable number. (Of course many of their finds are on caches that are now archived.) They found their first cache on 18 Nov. 2006, and their career average is 4.3 finds/day or 1568 finds/year over 9.6 years!

 

Worldwide, I suspect Alamogul is the no. 1 team, with 144913 finds since 3 Nov. 2002, at an average rate of 29 finds/day or 10588 finds/year over more than 13 years. The mind boggles - I have no idea how that is even possible.

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Number of cachers over time:

 

The following graph shows the total number of cachers who have logged at least one find in a year in South Africa, as well as the number of active cachers (those who have found at least 12 caches in that particular year):

RSA%20Total%20and%20Active%20cachers.jpg

The number peaked at the end of 2015; it has been going downhill since then - a worrying trend!

For the active cachers it looks even worse - their number peaked in the middle of 2015, a year ago.

 

The following graph shows the number of active cachers as a percentage of the total number of cachers:

RSA%20Percentage%20Active%20cachers.jpg

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Thanks for all the stats Danie, it has been a while since visiting the stats page and I enjoyed going through everything I have missed.

 

Could you perhaps give and update on the top 10 or 20 cachers who have cached in the most counties in SA, please?

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Could you perhaps give and update on the top 10 or 20 cachers who have cached in the most counties in SA, please?

I see at least 3 of the district municipalities must have had name changes since I last ran this query; I'll have to fix it first. To save me time, can somebody please let me know what the changes were?

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Could you perhaps give and update on the top 10 or 20 cachers who have cached in the most counties in SA, please?

Most District Municipalities found:

1. iPajero:	           52
   rodnjoan:	           52
   TechnoNut:	           52
   terunkie:	           52
   Porky2:	           52
   Cherokee.za:	   52
   miking:	           52
8. Geelvink:	           49
9. cownchicken:	   48
   Danie Viljoen:	   48
11. Louise_Gerhard:	   47
   GorNat:	           47
   Tricky Vicky & Mickey: 47
   DiePienaars:	   47
   Hesamati:	           47
16. dolos:	           45
   Fish Eagle:	           45
   B and C Inc:	   45
19. Leon St:	           44
   mart514:	           44

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