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Animal Mnemonic Images

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This system presents a letter and a digit as a humanoid animal; it also has humanoid animals to represent a digit and a letter.

I once designed a shorthand code system where a letter and a digit would mean a common word (or a digit and a letter would mean a common word). I thought that each letter could have an animal type such as a chimpanzee; and then digits 0 to 9 would have particular characteristics that need drawing over the template chimpanzee. So if I know that a chimpanzee is a particular letter, I can think of the characteristic of digit 5 and hopefully recall what the cartoon humanoid animal for that shorthand code is.

Time moved on and I decided to use a Women 1000 cartoon women system and a Male 1000 cartoon men system to represent shorthand codes instead. But I could see uses for the animal system. For instance, if at a peg loci location, I imagine a scene to represent the keyword "Industry", I could imagine the Hero system character that always means "IN" and that character can do the colpoured action that always means "DUS" and then, instead of using the "TR" hero [INDUSTR], I could add variety by imagining the recipient of the action to be the animal that means "TR". [T9 also means "TR" because of a translation rule where 9 always means "R".]; or for a longer word such as "Industrious", the action could be on the hero "TR" person but stood beside the action could be the animal "IO" character so that INDUSTRIO[us] is recalled.

For the case where a digit is followed by a letter, I don't have 10 characters for "digit and P" nor for "digit and H" nor for "digit and "M", K nor Q. So a future task will be to think up 10 images for M and P at least. They needn't be animal people and might actually be inanimate objects. I would just expect there to be times where a letter pair like "AP" or "SP" or "SM" would be wanted but I would not have an animal image for them. Besides, the Shorthand article assumes that I can combine a letter with a digit in order to represent two words of a sentence; and so that now has a gap! And the association of codes with people's names (as well as geographical landmarks) (see below) assumes that 0Q, 0K, etc. have images to represent them.

I will briefly comment on the animal images which either represent a 'letter then digit' or a 'digit then letter' (520 images in total).

Each letter of the alphabet is represented by an animal type such as a baboon. There can then be 10 colourful examples of a baboon as cartoon images to represent the 0 to 9 instances of a letter followed by a digit. The colour fill of the animal fur is not special - except that I tried to make variety by having each of the 10 occurrences of an animal breed have different colour fills.

Below are example cartoon images for representing a digit and letter or a letter and a digit [altohugh I changed the outfits since then]:


In the images, every animal is presented with humanoid aspects.

I want them to be able to do human-like actions; so I think it is OK to present them in a humanoid way. It will be very handy for when I want to memorise the three digit number of the 1000 actions articke because I can imagine a story where each animal does an action; and I can count through the animals quite simply because each animal type is a set of 10.

.Any animal code with a 0 will have an animal with chin beard, wrinkles to the side of the eyes. Any male animal with 1 in its code will be an animal with reddened ears. 2 = lines under the eyes. 3 = long eyelashes, 4 = chin beard, 5 = small moustache, 6 = facial hair on the cheeks, 7 = red eye lids, 8 = red spots on the cheeks, 9 = long hanging moustache

(For male animals (the animals whose code begins with a letter and ends with a digit)), that works ok; and I modified the system for females (any code beginning with a digit and ending with a letter) such that there are sunglasses or blusher or plain glasses or earrings rather than male facial hair [there is more about that below].


Using the animal people as a reduced AA-ZZ system

Instead of thinking of an animal as a letter and a digit (or a digit and then a letter), you could assign a letter to each digit so that two letters are represented.

Any letter from A to Z can have a second letter of A/E/I/O/U. Also, letters A/E/I/O/U can be followed by any letter from A to Z [in the same way that you can have A0 or 0A, there would be letter pair AO and letter pair OA expressed using different animal sets]. 0 = O, 1 = I, 2 = A, 3 = E, 4 = U ; 5 = N, 6 = S, 7 = C, 8 = T, 9 = R .

Animal A5 would be a prompt for syllable "AN" [5 stands in for 'N']. 5A would be a prompt for syllable "NA".

If, at a peg location, I already represented part of a foreign word's meaning by using an action; and part of the spelling by using a person as a recipient of the action, an addition to the scene can be an animal person to disclose an extra two letters.

Note: 'L' is a common letter which does not get represented by that approach. The digits here represent 5 vowels and 5 other common letters. As a future task, I would like to have extra images to mean common two letter uses of 'L' such as, AL, LL, etc..


Animal people as a way to memorise the 1000 actions

In the Actions article, I write about how the animal images having a count of about 500 makes them useful for remembering the ordinal position of either doers or recipients of actions.

I thought that I might reuse the same 500 animal people to represent 500 to 999: The direction of the action matters; so animal 300 acting from left to right is how I can memorise action 300; but if the action is from right to left (the animal faces leftwards) then I need to add 500 so that the action is thought of as action (300+500 = 800).

However, the 520 animal people system grew into a 600 character system where CH, SH, TH and ZH get treated as extra alphabet 'letters'. So you could have CH0, for instance; or 0CH. So then I can add just 400 characters to the list of doers in order to reach 1000 doers of actions.

The 100 People system from the 100 People for 00 to 99 article;

The Ancient Greece Dec 30th person as person 700 just to that the remaining use of Ancient Greece people are aligned nicely;

The 1st to the 10th of the month for January to October as seen in the Ancient Greece article;

The 11th to the 20th of the month for January to October as seen in the Ancient Greece article;

The 21st to the 30th of the month for January to October as seen in the Ancient Greece article [but February has no 30th; so use Jan 31st as a substitute].

I write more about this in the '1024 is 32 x 32' article. I wanted to extend the list of doer people to 1024; and that article is about how I extend it as well as about who the recipients of the actions are. E.g. 1001 to 1023 can use the Ancient Greece people for November 1st to November 23rd.


Animal people as first names

I made a list of first names (see below) so that an animal like animal A2 means a particular common first name. Since the prominent feature of some animal cartoons is a moustache or facial hair, some female names are oddly matched with masculine feature animals; so I would use:

If the name is feminine and there is a 4 or 5 or 6 or 9 in the digit-then-letter code:

4 - beard -> sunglasses

5 - small moustache -> blusher on the cheeks (red colour or blue if the animal is red-skinned)

6 - facial hair -> square glasses

9 - long moustache -> white diamond shape ear rings

Eg. Pushpa is 4W. The 4 requires sunglasses for the female character.


These animal images would be handy for quickly learning a new person's name: you can meet a Kevin and imagine him next to the Kevin animal. In that way, the name is visually associated with this new person.

If a world fact rote learned for each cartoon animal then you can traverse the animal people in sequence and state 5 facts about over 100 countries. The first letters of a world fact such as Herat involves representing the H as a colour but the outfit is just there for variety: every 50 outfits, the same outfits occur again in the same sequence. An example is the white outfit of B0 because its fact is Benguela whcih begins with 'B'; the white outfit colour represents'B'; thent he eyes are the 'E' type because the second letter of Benguela is 'E'.


Since these are cartoon characters, they can have coloured outfits; I did want to encode information in each animal person outfit. Outfit colour fill can represent a letter or CH/SH (see the Colours article); outfit choice can represent a letter or CH/SH/TH (see the "Outfits 50" article). But the second letter of many words is either vowels or a small number of consonants; so that approach would have made some outfits occur far too often for there to be a distinct look to each cartoon animal person. I propose instead to use a small collection of eyes to overlay on the plain white eyes of the animals but only if the next letter of the spelling is one of these very common letters:


Code Name Gender Country Item Type Item Name Outfit Colour (Fact Prefix) Outfit (Loop 0 to 49)
A0 Aaron M Afghanistan City Herat 22 0
A1 Abraham M Afghanistan City Kandahar 27 1
A2 Adam M Afghanistan River Amu Darya 2 2
A3 Adrian M Afghanistan River Helmand River 22 3
A4 Aiden M Afghanistan Mountain Noshaq 15 4
A5 Alan M Algeria City Constantine 17 5
A6 Alex M Algeria City Oran 0 6
A7 Alfie M Algeria River Chelif River 21 7
A8 Andrew M Algeria River Soummam River 16 8
A9 Anthony M Algeria Mountain Mount Tahat 24 9
B0 Barry M Angola City Benguela 10 10
B1 Ben M Angola City Huambo 22 11
B2 Bill M Angola River Congo River 17 12
B3 Brendon M Angola River Cuanza River 17 13
B4 Bob M Angola Mountain Mount Moco 24 14
B5 Bradley M Argentina City Córdoba 17 15
B6 Brandon M Argentina City Rosario 23 16
B7 Brett M Argentina River Paraná River 25 17
B8 Brian M Argentina River Uruguay River 4 18
B9 Burt M Argentina Mountain Aconcagua 2 19
C0 Carlos M Australia City Melbourne 24 20
C1 Charles M Australia City Sydney 16 21
C2 Chase M Australia River Darling River 14 22
C3 Christian M Australia River Murray River 24 23
C4 Christopher M Australia Mountain Mount Kosciuszko 24 24
C5 Colin M Bangladesh City Chittagong 21 25
C6 Connor M Bangladesh City Khulna 27 26
C7 Craig M Bangladesh River Jamuna River 11 27
C8 Curtis M Bangladesh River Padma River 25 28
C9 Cedric M Bangladesh Mountain Saka Haphong 16 29
D0 Damien M Belarus City Brest 10 30
D1 Daniel M Belarus City Gomel 13 31
D2 David M Belarus River Dnieper River 14 32
D3 Dean M Belarus River Neman River 15 33
D4 Declan M Belarus Mountain Dzyarzhynskaya Hara 14 34
D5 Derek M Benin City Cotonou 17 35
D6 Dominic M Benin City Parakou 25 36
D7 Dylan M Benin River Niger River 15 37
D8 Donald M Benin River Ouémé River 0 38
D9 Dennis M Benin Mountain Mont Sokbaro 24 39
E0 Edward M Bolivia City El Alto 3 40
E1 Eamon M Bolivia City Santa Cruz de la Sierra 16 41
E2 Elijah M Bolivia River Beni River 10 42
E3 Elliott M Bolivia River Mamoré River 24 43
E4 Emilio M Bolivia Mountain Sajama 16 44
E5 Emmanuel M Botswana City Francistown 19 45
E6 Eric M Botswana City Maun 24 46
E7 Ethan M Botswana River Limpopo River 20 47
E8 Ezra M Botswana River Okavango River 0 48
E9 Ezekiel M Botswana Mountain Otse Hill 0 49
F0 Felix M Brazil City Rio de Janeiro 23 0
F1 Finn M Brazil City São Paulo 16 1
F2 Francis M Brazil River Amazon River 2 2
F3 Frank M Brazil River São Francisco River 16 3
F4 Fred M Brazil Mountain Pico da Neblina 25 4
F5 Fergus M Bulgaria City Plovdiv 25 5
F6 Fred M Bulgaria City Varna 9 6
F7 Filippe M Bulgaria River Danube River 14 7
F8 Fernando M Bulgaria River Maritsa River 24 8
F9 Forrest M Bulgaria Mountain Musala 24 9
G0 Gabriel M Burkina Faso City Bobo-Dioulasso 10 10
G1 George M Burkina Faso City Koudougou 27 11
G2 Gavin M Burkina Faso River Black Volta 10 12
G3 Greg M Burkina Faso River White Volta 5 13
G4 Gary M Burkina Faso Mountain Tena Kourou 18 14
G5 Gerald M Cambodia City Battambang 10 15
G6 Gino M Cambodia City Siem Reap 16 16
G7 Glenn M Cambodia River Mekong River 24 17
G8 Guy M Cambodia River Tonlé Sap River 18 18
G9 Giuseppe M Cambodia Mountain Phnom Aural 25 19
H0 Harry M Cameroon City Douala 14 20
H1 Henry M Cameroon City Garoua 13 21
H2 Harrison M Cameroon River Benue River 10 22
H3 Hugo M Cameroon River Sanaga River 16 23
H4 Harold M Cameroon Mountain Mount Cameroon 24 24
H5 Hans M Canada City Montreal 24 25
H6 Hector M Canada City Toronto 18 26
H7 Howard M Canada River Mackenzie River 24 27
H8 Herman M Canada River St. Lawrence River 16 28
H9 Hugh M Canada Mountain Mount Logan 24 29
I0 Isaac M Central African Republic City Berberati 10 30
I1 Isaiah M Central African Republic City Bimbo 10 31
I2 Ian M Central African Republic River Sangha River 16 32
I3 Ivan M Central African Republic River Ubangi River 4 33
I4 Ira M Central African Republic Mountain Mont Ngaoui 24 34
I5 Imran M Chad City Moundou 24 35
I6 Johan M Chad City Sarh 16 36
I7 Jerome M Chad River Chari River 21 37
I8 Jonas M Chad River Logone River 20 38
I9 Julian M Chad Mountain Emi Koussi 3 39
J0 Jack M Chile City Concepción 17 40
J1 Joseph M Chile City Valparaíso 9 41
J2 Jayden M Chile River Biobío River 10 42
J3 John M Chile River Loa River 20 43
J4 Jeremy M Chile Mountain Ojos del Salado 0 44
J5 Jose M China City Guangzhou 13 45
J6 Jason M China City Shanghai 12 46
J7 Juan M China River Yangtze River 8 47
J8 Jake M China River Yellow River 8 48
J9 Jay M China Mountain Mount Everest 24 49
K0 Kevin M Colombia City Cali 17 0
K1 Kyle M Colombia City Medellín 24 1
K2 Kieran M Colombia River Cauca River 17 2
K3 Keith M Colombia River Magdalena River 24 3
K4 Ken M Colombia Mountain Pico Cristóbal Colón 25 4
K5 Lionel M Democratic Republic of the Congo City Kisangani 27 5
K6 Leo M Democratic Republic of the Congo City Lubumbashi 20 6
K7 Louis M Democratic Republic of the Congo River Congo River 17 7
K8 Miguel M Democratic Republic of the Congo River Kasai River 27 8
K9 Marcel M Democratic Republic of the Congo Mountain Mount Stanley 24 9
L0 Lucas M Ecuador City Cuenca 17 10
L1 Logan M Ecuador City Guayaquil 13 11
L2 Luke M Ecuador River Guayas River 13 12
L3 Leonard M Ecuador River Napo River 15 13
L4 Luis M Ecuador Mountain Chimborazo 21 14
L5 Lennox M Egypt City Alexandria 2 15
L6 Lawrence M Egypt City Giza 13 16
L7 Lance M Egypt River Bahr Yussef 10 17
L8 Larry M Egypt River Nile River 15 18
L9 Lloyd M Egypt Mountain Mount Catherine 24 19
M0 Matthew M Eritrea City Keren 27 20
M1 Mark M Eritrea City Massawa 24 21
M2 Mike M Eritrea River Barka River 10 22
M3 Max M Eritrea River Gash River 13 23
M4 Miles M Eritrea Mountain Emba Soira 3 24
M5 Marcus M Ethiopia City Dire Dawa 14 25
M6 Malcolm M Ethiopia City Mekelle 24 26
M7 Martin M Ethiopia River Awash River 2 27
M8 Mohammed M Ethiopia River Blue Nile 10 28
M9 Maurice M Ethiopia Mountain Ras Dashen 23 29
N0 Nathan M Finland City Tampere 18 30
N1 Nicholas M Finland City Turku 18 31
N2 Neil M Finland River Kemijoki 27 32
N3 Nassir M Finland River Oulujoki 0 33
N4 Nino M Finland Mountain Halti 22 34
N5 Norman M France City Lyon 20 35
N6 Nelson M France City Marseille 24 36
N7 Noah M France River Loire River 20 37
N8 Noel M France River Seine River 16 38
N9 Ned M France Mountain Mont Blanc 24 39
O0 Oliver M Gabon City Franceville 19 40
O1 Owen M Gabon City Port-Gentil 25 41
O2 Omar M Gabon River Komo River 27 42
O3 Oscar M Gabon River Ogooué River 0 43
O4 Otis M Gabon Mountain Mont Iboundji 24 44
O5 Ozzie M Germany City Hamburg 22 45
O6 Amir M Germany City Munich 24 46
O7 Hassan M Germany River Danube River 14 47
O8 Rohan M Germany River Rhine River 23 48
O9 Vihaan M Germany Mountain Zugspitze 7 49
P0 Patrick M Ghana City Kumasi 27 0
P1 Pedro M Ghana City Tamale 18 1
P2 Peter M Ghana River Pra River 25 2
P3 Philip M Ghana River Volta River 9 3
P4 Pablo M Ghana Mountain Mount Afadja 24 4
P5 Pierre M Greece City Patras 25 5
P6 Paul M Greece City Thessaloniki 18 6
P7 Pascal M Greece River Aliakmon River 2 7
P8 Pearce M Greece River Evros River 3 8
P9 Percy M Greece Mountain Mount Olympus 24 9
Q0 Quentin M Guinea City Kankan 27 10
Q1 Roger M Guinea City Nzérékoré 15 11
Q2 Ross M Guinea River Gambia River 13 12
Q3 Reuben M Guinea River Niger River 15 13
Q4 Roy M Guinea Mountain Mount Nimba 24 14
Q5 Raphael M Guyana City Linden 20 15
Q6 Ronan M Guyana City New Amsterdam 15 16
Q7 Ryan M Guyana River Demerara River 14 17
Q8 Ron M Guyana River Essequibo River 3 18
Q9 Rudy M Guyana Mountain Mount Roraima 24 19
R0 Robert M Honduras City La Ceiba 20 20
R1 Rory M Honduras City San Pedro Sula 16 21
R2 Raymond M Honduras River Patuca River 25 22
R3 Ricardo M Honduras River Ulúa River 4 23
R4 Richard M Honduras Mountain Cerro Las Minas 17 24
R5 Russell M India City Bangalore 10 25
R6 Reed M India City Mumbai 24 26
R7 Ronald M India River Brahmaputra River 10 27
R8 Reece M India River Ganges River 13 28
R9 Rio M India Mountain Kangchenjunga 27 29
S0 Samuel M Indonesia City Bandung 10 30
S1 Sebastian M Indonesia City Surabaya 16 31
S2 Sergio M Indonesia River Kapuas River 27 32
S3 Steven M Indonesia River Mahakam River 24 33
S4 Sean M Indonesia Mountain Puncak Jaya 25 34
S5 Scott M Iran City Isfahan 1 35
S6 Samir M Iran City Mashhad 24 36
S7 Salem M Iran River Aras River 2 37
S8 Syed M Iran River Karun River 27 38
S9 Simon M Iran Mountain Mount Damavand 24 39
T0 Theo M Iraq City Basra 10 40
T1 Troy M Iraq City Mosul 24 41
T2 Thomas M Iraq River Euphrates River 3 42
T3 Tony M Iraq River Tigris River 18 43
T4 Terrance M Iraq Mountain Cheekha Dar 21 44
T5 Toby M Italy City Milan 24 45
T6 Tom M Italy City Naples 15 46
T7 Trevor M Italy River Po River 25 47
T8 Tim M Italy River Tiber River 18 48
T9 Tristan M Italy Mountain Mont Blanc 24 49
U0 Ulysses M Ivory Coast City Abidjan 2 0
U1 Uri M Ivory Coast City Bouaké 10 1
U2 Umberto M Ivory Coast River Bandama River 10 2
U3 Santiago M Ivory Coast River Comoé River 17 3
U4 Seth M Ivory Coast Mountain Mount Nimba 24 4
U5 Spencer M Japan City Nagoya 15 5
U6 Solomon M Japan City Osaka 0 6
U7 Stanley M Japan River Shinano River 12 7
U8 Stephan M Japan River Tone River 18 8
U9 Tyson M Japan Mountain Mount Fuji 24 9
V0 Vincent M Kazakhstan City Almaty 2 10
V1 Vladimir M Kazakhstan City Shymkent 12 11
V2 Vito M Kazakhstan River Irtysh River 1 12
V3 Vidal M Kazakhstan River Ural River 4 13
V4 Valerio M Kazakhstan Mountain Khan Tengri 27 14
V5 Vaughn M Kenya City Kisumu 27 15
V6 Vivek M Kenya City Mombasa 24 16
V7 Vander M Kenya River Athi-Galana-Sabaki River 2 17
V8 Vikram M Kenya River Tana River 18 18
V9 Victor M Kenya Mountain Mount Kenya 24 19
W0 William M Kyrgyzstan City Jalal-Abad 11 20
W1 Wesley M Kyrgyzstan City Osh 0 21
W2 Walter M Kyrgyzstan River Kara Darya 27 22
W3 Wallace M Kyrgyzstan River Naryn River 15 23
W4 Warren M Kyrgyzstan Mountain Jengish Chokusu 11 24
W5 Winston M Laos City Luang Prabang 20 25
W6 Wayne M Laos City Savannakhet 16 26
W7 Wade M Laos River Mekong River 24 27
W8 Willis M Laos River Nam Ou 15 28
W9 Ishaan M Laos Mountain Phou Bia 25 29
X0 Xavier M Liberia City Buchanan 10 30
X1 Mustafa M Liberia City Gbarnga 13 31
X2 Avyaan M Liberia River Cavalla River 17 32
X3 Deepak M Liberia River St. Paul River 16 33
X4 Ganesha M Liberia Mountain Mount Wuteve 24 34
X5 Krishna M Libya City Benghazi 10 35
X6 Manish M Libya City Misrata 24 36
X7 Rahul M Libya River Wadi al Kuf 5 37
X8 Ravindra M Libya River Wadi Baht 5 38
X9 Siddhartha M Libya Mountain Bikku Bitti 10 39
Y0 Yousef M Madagascar City Antsirabe 2 40
Y1 Yan M Madagascar City Toamasina 18 41
Y2 Sukhwinder M Madagascar River Betsiboka River 10 42
Y3 Surendra M Madagascar River Tsiribihina River 18 43
Y4 Vishnu M Madagascar Mountain Maromokotro 24 44
Y5 Aravind M Malawi City Blantyre 10 45
Y6 Ashwin M Malawi City Zomba 7 46
Y7 Chandra M Malawi River Shire River 12 47
Y8 Harsha M Malawi River Songwe River 16 48
Y9 Jitendra M Malawi Mountain Mount Mulanje 24 49
Z0 Zahir M Malaysia City George Town 13 0
Z1 Kamal M Malaysia City Johor Bahru 11 1
Z2 Mahendra M Malaysia River Pahang River 25 2
Z3 Mohandas M Malaysia River Rajang River 23 3
Z4 Rakesh M Malaysia Mountain Mount Kinabalu 24 4
Z5 Suraj M Mali City Sikasso 16 5
Z6 Anant M Mali City Timbuktu 18 6
Z7 Bhaskar M Mali River Niger River 15 7
Z8 Dilip M Mali River Senegal River 16 8
Z9 Dinesh M Mali Mountain Hombori Tondo 22 9
0A Audrey F Mauritania City Kiffa 27 10
1A Alice F Mauritania City Nouadhibou 15 11
2A Anna F Mauritania River Karakoro River 27 12
3A Andrea F Mauritania River Senegal River 16 13
4A Amy F Mauritania Mountain Kediet ej Jill 27 14
5A Anabelle F Mexico City Guadalajara 13 15
6A Adriana F Mexico City Monterrey 24 16
7A Alexis F Mexico River Lerma River 20 17
8A Amanda F Mexico River Rio Grande 23 18
9A Amber F Mexico Mountain Pico de Orizaba 25 19
0B Bella F Mongolia City Darkhan 14 20
1B Bridget F Mongolia City Erdenet 3 21
2B Brenda F Mongolia River Orkhon River 0 22
3B Beverly F Mongolia River Selenge River 16 23
4B Brie F Mongolia Mountain Khüiten Peak 27 24
5B Belinda F Morocco City Casablanca 17 25
6B Bernadette F Morocco City Marrakesh 24 26
7B Brittany F Morocco River Moulouya River 24 27
8B Beth F Morocco River Oum Er-Rbia 0 28
9B Bianca F Morocco Mountain Jebel Toubkal 11 29
0C Charlotte F Mozambique City Beira 10 30
1C Camilla F Mozambique City Nampula 15 31
2C Chloe F Mozambique River Limpopo River 20 32
3C Claire F Mozambique River Zambezi River 7 33
4C Carmen F Mozambique Mountain Mount Binga 24 34
5C Christina F Myanmar City Mandalay 24 35
6C Carolyn F Myanmar City Yangon 8 36
7C Celine F Myanmar River Irrawaddy River 1 37
8C Cindy F Myanmar River Salween River 16 38
9C Catherine F Myanmar Mountain Hkakabo Razi 22 39
0D Danielle F Namibia City Swakopmund 16 40
1D Daisy F Namibia City Walvis Bay 5 41
2D Delia F Namibia River Okavango River 0 42
3D Demi F Namibia River Orange River 0 43
4D Diana F Namibia Mountain Brandberg Mountain 10 44
5D Daphne F Nepal City Biratnagar 10 45
6D Drew F Nepal City Pokhara 25 46
7D Dawn F Nepal River Gandaki River 13 47
8D Dorothy F Nepal River Koshi River 27 48
9D Doris F Nepal Mountain Mount Everest 24 49
0E Emma F New Zealand City Auckland 2 0
1E Elizabeth F New Zealand City Christchurch 21 1
2E Eleanor F New Zealand River Clutha River 17 2
3E Emily F New Zealand River Waikato River 5 3
4E Ella F New Zealand Mountain Aoraki / Mount Cook 2 4
5E Esther F Nicaragua City Granada 13 5
6E Elaine F Nicaragua City León 20 6
7E Eve F Nicaragua River Coco River 17 7
8E Erika F Nicaragua River San Juan River 16 8
9E Evelyn F Nicaragua Mountain Mogotón 24 9
0F Faith F Niger City Maradi 24 10
1F Fatima F Niger City Zinder 7 11
2F Felicity F Niger River Komadougou Yobe 27 12
3F Fiona F Niger River Niger River 15 13
4F Francesca F Niger Mountain Mont Idoukal-n-Taghès 24 14
5F Frida F Nigeria City Kano 27 15
6F Fay F Nigeria City Lagos 20 16
7F Fern F Nigeria River Benue River 10 17
8F Flavia F Nigeria River Niger River 15 18
9F Fernanda F Nigeria Mountain Chappal Waddi 21 19
0G Grace F North Korea City Chongjin 21 20
1G Georgina F North Korea City Hamhung 22 21
2G Gabriella F North Korea River Tumen River 18 22
3G Gloria F North Korea River Yalu River 8 23
4G Geraldine F North Korea Mountain Paektu Mountain 25 24
5G Gina F Norway City Bergen 10 25
6G Gwen F Norway City Trondheim 18 26
7G Greta F Norway River Glomma 13 27
8G Gemma F Norway River Tana River 18 28
9G Giselle F Norway Mountain Galdhøpiggen 13 29
0H Hazel F Oman City Salalah 16 30
1H Hailey F Oman City Sohar 16 31
2H Helen F Oman River Wadi Bani Khalid 5 32
3H Heidi F Oman River Wadi Darbat 5 33
4H Hannah F Oman Mountain Jabal Shams 11 34
5H Holly F Pakistan City Karachi 27 35
6H Heather F Pakistan City Lahore 20 36
7H Harmonie F Pakistan River Indus River 1 37
8H Hillary F Pakistan River Jhelum River 11 38
9H Harriet F Pakistan Mountain K2 27 39
0I Isabelle F Papua New Guinea City Lae 20 40
1I Ivy F Papua New Guinea City Mount Hagen 24 41
2I Irene F Papua New Guinea River Fly River 19 42
3I Ivanna F Papua New Guinea River Sepik River 16 43
4I Iliana F Papua New Guinea Mountain Mount Wilhelm 24 44
5I Ida F Paraguay City Ciudad del Este 17 45
6I Imogen F Paraguay City Encarnación 3 46
7I Jordan F Paraguay River Paraguay River 25 47
8I Jennifer F Paraguay River Paraná River 25 48
9I Jessica F Paraguay Mountain Cerro Peró 17 49
0J Jade F Peru City Arequipa 2 0
1J Jennifer F Peru City Cusco 17 1
2J Janet F Peru River Amazon River 2 2
3J Jane F Peru River Ucayali River 4 3
4J Jacqueline F Peru Mountain Huascarán 22 4
5J June F Philippines City Cebu City 17 5
6J Julia F Philippines City Davao City 14 6
7J Juliette F Philippines River Cagayan River 17 7
8J Julianna F Philippines River Rio Grande de Mindanao 23 8
9J Joy F Philippines Mountain Mount Apo 24 9
0K Kim F Poland City Kraków 27 10
1K Kelly F Poland City Łódź 20 11
2K Kathleen F Poland River Oder River 0 12
3K Keira F Poland River Vistula River 9 13
4K Kate F Poland Mountain Rysy 23 14
5K Karina F Portugal City Braga 10 15
6K Kelly F Portugal City Porto 25 16
7K Judith F Portugal River Douro River 14 17
8K Jasmine F Portugal River Tagus River 18 18
9K Joan F Portugal Mountain Mount Pico 24 19
0L Layla F Republic of the Congo City Dolisie 14 20
1L Leah F Republic of the Congo City Pointe-Noire 25 21
2L Lily F Republic of the Congo River Congo River 17 22
3L Lucy F Republic of the Congo River Kouilou-Niari River 27 23
4L Lydia F Republic of the Congo Mountain Mount Nabeba 24 24
5L Lauren F Romania City Cluj-Napoca 17 25
6L Louise F Romania City Timișoara 18 26
7L Liv F Romania River Danube River 14 27
8L Linda F Romania River Mureș River 24 28
9L Leanne F Romania Mountain Moldoveanu Peak 24 29
0M Mia F Russia City Novosibirsk 15 30
1M Madeleine F Russia City Saint Petersburg 16 31
2M Maria F Russia River Lena River 20 32
3M Margaret F Russia River Volga River 9 33
4M Melanie F Russia Mountain Mount Elbrus 24 34
5M Mary F Saudi Arabia City Jeddah 11 35
6M Melissa F Saudi Arabia City Mecca 24 36
7M Michelle F Saudi Arabia River Wadi Al-Dawasir 5 37
8M Marie F Saudi Arabia River Wadi Bishah 5 38
9M Monica F Saudi Arabia Mountain Jabal Sawda 11 39
0N Naomi F Senegal City Saint-Louis 16 40
1N Natalie F Senegal City Thiès 18 41
2N Nina F Senegal River Gambia River 13 42
3N Nicole F Senegal River Senegal River 16 43
4N Nadia F Senegal Mountain Nepen Diakha 15 44
5N Natasha F Somalia City Bosaso 10 45
6N Norah F Somalia City Hargeisa 22 46
7N Nancy F Somalia River Jubba River 11 47
8N Nola F Somalia River Shabelle River 12 48
9N Neve F Somalia Mountain Shimbiris 12 49
0O Olivia F South Africa City Cape Town 17 0
1O Olga F South Africa City Johannesburg 11 1
2O Jenny F South Africa River Limpopo River 20 2
3O Jude F South Africa River Orange River 0 3
4O Lisa F South Africa Mountain Mafadi 24 4
5O Lindsay F South Sudan City Malakal 24 5
6O Lorraine F South Sudan City Wau 5 6
7O Marilyn F South Sudan River Sobat River 16 7
8O Martha F South Sudan River White Nile 5 8
9O Meghan F South Sudan Mountain Kinyeti 27 9
0P Polly F Spain City Barcelona 10 10
1P Phoebe F Spain City Valencia 9 11
2P Paige F Spain River Ebro River 3 12
3P Penny F Spain River Tagus River 18 13
4P Priscilla F Spain Mountain Teide 18 14
5P Patricia F Sudan City Omdurman 0 15
6P Pippa F Sudan City Port Sudan 25 16
7P Pamela F Sudan River Blue Nile 10 17
8P Philippa F Sudan River Nile River 15 18
9P Paula F Sudan Mountain Jebel Marra 11 19
0Q Robyn F Suriname City Lelydorp 20 20
1Q Serena F Suriname City Nieuw Nickerie 15 21
2Q Sabrina F Suriname River Marowijne River 24 22
3Q Skye F Suriname River Suriname River 16 23
4Q Stephanie F Suriname Mountain Juliana Top 11 24
5Q Simone F Sweden City Gothenburg 13 25
6Q Salma F Sweden City Malmö 24 26
7Q Susan F Sweden River Göta älv 13 27
8Q Sonia F Sweden River Torne River 18 28
9Q Silvia F Sweden Mountain Kebnekaise 27 29
0R Ruby F Syria City Aleppo 2 30
1R Rose F Syria City Homs 22 31
2R Reese F Syria River Euphrates River 3 32
3R Ruth F Syria River Orontes River 0 33
4R Rachel F Syria Mountain Mount Hermon 24 34
5R Rebecca F Tajikistan City Khujand 27 35
6R Rosemary F Tajikistan City Kulob 27 36
7R Ramona F Tajikistan River Panj River 25 37
8R Raquel F Tajikistan River Vakhsh River 9 38
9R Rosalind F Tajikistan Mountain Ismoil Somoni Peak 1 39
0S Sophie F Tanzania City Dar es Salaam 14 40
1S Scarlett F Tanzania City Mwanza 24 41
2S Stella F Tanzania River Rufiji River 23 42
3S Sadie F Tanzania River Ruvuma River 23 43
4S Sarah F Tanzania Mountain Mount Kilimanjaro 24 44
5S Samantha F Thailand City Chiang Mai 21 45
6S Summer F Thailand City Phuket 25 46
7S Sara F Thailand River Chao Phraya River 21 47
8S Selena F Thailand River Mekong River 24 48
9T Sydney F Thailand Mountain Doi Inthanon 14 49
0T Taylor F Tunisia City Sfax 16 0
1T Tessa F Tunisia City Sousse 16 1
2T Talia F Tunisia River Medjerda River 24 2
3T Tatum F Tunisia River Oued Miliane 0 3
4T Teresa F Tunisia Mountain Jebel ech Chambi 11 4
5T Tatiana F Turkey City Istanbul 1 5
6T Tilly F Turkey City Izmir 1 6
7T Tara F Turkey River Euphrates River 3 7
8T Tina F Turkey River Kızılırmak River 27 8
9T Tracy F Turkey Mountain Mount Ararat 24 9
0U Una F Turkmenistan City Mary 24 10
1U Ursula F Turkmenistan City Türkmenabat 18 11
2U Stacy F Turkmenistan River Amu Darya 2 12
3U Aisha F Turkmenistan River Murgab River 24 13
4U Anika F Turkmenistan Mountain Aýrybaba 2 14
5U Arya F Uganda City Gulu 13 15
6U Ila F Uganda City Jinja 11 16
7U Laila F Uganda River Albert Nile 2 17
8U Maryam F Uganda River Victoria Nile 9 18
9U Maya F Uganda Mountain Mount Stanley 24 19
0V Violet F Ukraine City Kharkiv 27 20
1V Victoria F Ukraine City Odesa 0 21
2V Vivienne F Ukraine River Dnieper River 14 22
3V Valerie F Ukraine River Dniester River 14 23
4V Vanessa F Ukraine Mountain Hoverla 22 24
5V Veronica F United Kingdom City Birmingham 10 25
6V Virginia F United Kingdom City Manchester 24 26
7V Verna F United Kingdom River Severn River 16 27
8V Verona F United Kingdom River Thames River 18 28
9V Viola F United Kingdom Mountain Ben Nevis 10 29
0W Whitney F United States City Los Angeles 20 30
1W Winona F United States City New York City 15 31
2W Wanda F United States River Mississippi River 24 32
3W Arushi F United States River Missouri River 24 33
4W Pushpa F United States Mountain Denali 14 34
5W Samira F Uruguay City Paysandú 25 35
6W Veda F Uruguay City Salto 16 36
7W Ezhil F Uruguay River Río Negro 23 37
8W Indira F Uruguay River Uruguay River 4 38
9W Devika F Uruguay Mountain Cerro Catedral 17 39
0X Xena F Uzbekistan City Bukhara 10 40
1X Drishti F Uzbekistan City Samarkand 16 41
2X Esha F Uzbekistan River Amu Darya 2 42
3X Kalyani F Uzbekistan River Syr Darya 16 43
4X Karishme F Uzbekistan Mountain Khazret Sultan 27 44
5X Kaur F Venezuela City Maracaibo 24 45
6X Roshni F Venezuela City Valencia 9 46
7X Reshmi F Venezuela River Caroní River 17 47
8X Rupinder F Venezuela River Orinoco River 0 48
9X Saira F Venezuela Mountain Pico Bolívar 25 49
0Y Radha F Vietnam City Da Nang 14 0
1Y Aarna F Vietnam City Ho Chi Minh City 22 1
2Y Ahana F Vietnam River Mekong River 24 2
3Y Disha F Vietnam River Red River 23 3
4Y Kashvi F Vietnam Mountain Fansipan 19 4
5Y Kaven F Yemen City Aden 2 5
6Y Inaya F Yemen City Taiz 18 6
7Y Lasya F Yemen River Wadi Hadhramaut 5 7
8Y Sarika F Yemen River Wadi Mawr 5 8
9Y Yulia F Yemen Mountain Jabal An-Nabi Shu'ayb 11 9
0Z Zoe F Zambia City Kitwe 27 10
1Z Zara F Zambia City Ndola 15 11
2Z Nakshatra F Zambia River Kafue River 27 12
3Z Priya F Zambia River Zambezi River 7 13
4Z Adhira F Zambia Mountain Mafinga Central 24 14
5Z Charvi F Zimbabwe City Bulawayo 10 15
6Z Diva F Zimbabwe City Mutare 24 16
7Z Eshana F Zimbabwe River Limpopo River 20 17
8Z Jiya F Zimbabwe River Zambezi River 7 18
9Z Shakuntala F Zimbabwe Mountain Mount Nyangani 24 19

The 520 animal people: 520 animal-based characters plus CH, SH, TH and ZH other combinations

Note: The system was originally for A to Z but then I wanted things like SH3, ZH4, TH5, 7CH; because I treat CH, SH, TH and ZH as if they are standalone letters; so I introduced some animation style people to this list - with a sci-fi theme to their outfits; plus 40 Shakespeare characters. So the total is 520 + 40 + 40 = 600 characters.

Letter-First Pairs


Digit-First Pairs

This collection of animal people represent a digit followed by a letter:

O I A E U
0O 0I 0A 0E 0U
1O 1I 1A 1E 1U
2O 2I 2A 2E 2U
3O 3I 3A 3E 3U
4O 4I 4A 4E 4U
5O 5I 5A 5E 5U
6O 6I 6A 6E 6U
7O 7I 7A 7E 7U
8O 8I 8A 8E 8U
9O 9I 9A 9E 9U





W X Z Y V
0W 0X 0Z 0Y 0V
1W 1X 1Z 1Y 1V
2W 2X 2Z 2Y 2V
3W 3X 3Z 3Y 3V
4W 4X 4Z 4Y 4V
5W 5X 5Z 5Y 5V
6W 6X 6Z 6Y 6V
7W 7X 7Z 7Y 7V
8W 8X 8Z 8Y 8V
9W 9X 9Z 9Y 9V





B J SH G D
0B 0J 0SH 0G 0D
1B 1J 1SH 1G 1D
2B 2J 2SH 2G 2D
3B 3J 3SH 3G 3D
4B 4J 4SH 4G 4D
5B 5J 5SH 5G 5D
6B 6J 6SH 6G 6D
7B 7J 7SH 7G 7D
8B 8J 8SH 8G 8D
9B 9J 9SH 9G 9D





N S C T F
0N 0S 0C 0T 0F
1N 1S 1C 1T 1F
2N 2S 2C 2T 2F
3N 3S 3C 3T 3F
4N 4S 4C 4T 4F
5N 5S 5C 5T 5F
6N 6S 6C 6T 6F
7N 7S 7C 7T 7F
8N 8S 8C 8T 8F
9N 9S 9C 9T 9F





L CH H R M
0L 0CH 0H 0R 0M
1L 1CH 1H 1R 1M
2L 2CH 2H 2R 2M
3L 3CH 3H 3R 3M
4L 4CH 4H 4R 4M
5L 5CH 5H 5R 5M
6L 6CH 6H 6R 6M
7L 7CH 7H 7R 7M
8L 8CH 8H 8R 8M
9L 9CH 9H 9R 9M





P Q K TH ZH
0P 0Q 0K 0TH 0ZH
1P 1Q 1K 1TH 1ZH
2P 2Q 2K 2TH 2ZH
3P 3Q 3K 3TH 3ZH
4P 4Q 4K 4TH 4ZH
5P 5Q 5K 5TH 5ZH
6P 6Q 6K 6TH 6ZH
7P 7Q 7K 7TH 7ZH
8P 8Q 8K 8TH 8ZH
9P 9Q 9K 9TH 9ZH