Feather&Martin

Feather&Martin
Normal User

— Wikipedian ♂ —
Favourite city
Name	Martin
Born	March 16
Pronouns	Him
Nationality	Canadian
Country	Canada
Current location	Toronto
Languages	English, Mandarin, Japanese
Current time	Current UTC is 02:57
Eyes	both working
Blood type	Still don't know
IQ	Not stupid
Family and friends
Pets	a dog
Education and employment
Education	Still in school
Hobbies, interests, and beliefs
Hobbies	Chess, GeoGuessr, Basketball
Books	Harry Potter, The Goldfinch, 1984
Account statistics
Joined	August 2025
First edit	August 2025

Hello, I am Martin!

I like to edit any kind of articles except human biography😭, and I especially like to edit articles about airports.

Userboxes

Babel user information
en-N This user has a native understanding of English. zh-N 中文是这位用户的母语。 ja-N この利用者は日本語を母語としています。 fr-3 Cette personne dispose de connaissances avancées en français. This user lives in Toronto.
Users by language

This user lives in or hails from Osaka.

This user hails from Dalian.

ehThis user is a Canuck, and speaks Canadian English.

This user has been on Wikipedia for 9 months and 12 days.

This user is proud to be an
Asian !

This user is proud to be a
Canadian !

vn-0This user page has been vandalized 0 times.

vn-0This user's talk page has been vandalized 0 times.

This user scored 713 on the Wikipediholic test (revision 1338726546).

This editor has thanked
these Wikipedians.

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by these Wikipedians.

This user tries to do the right thing. If they make a mistake, please let them know.

This user is a global rollbacker. (verify)

Feather&Martin thinks the image policy is GODDAMNED UNFAIR!!!

This user hates it when cool images are deleted.

347%This user has been a Wikipedian for 347.2% of their life.

^_^This user watches anime.

This user loves airports.

This user has flown to Keflavík International Airport.

This user has flown to Kansai International Airport.

This user has flown to Haneda Airport.

This user has flown to Paris Charles de Gualle International Airport.

This user has flown to Narita International Airport.

This user has flown to San Francisco International Airport.

This user has flown to Daniel K. Inouye International Airport.

This user has flown to Los Angeles International Airport.

This user has flown to Guadalajara International Airport.

This user has flown to Toronto Pearson International Airport.

This user has flown to Phuket International Airport.

This user has flown to Bangkok Suvarnabhumi Airport.

This user has flown to Incheon International Airport.

This user has flown to Shenzhen Bao'an International Airport.

This user has flown to Shanghai Pudong International Airport.

This user has flown to Chubu Centrair International Airport.

This user has flown to Dalian Zhoushuizi International Airport.

This user has flown to London Heathrow Airport.

This user has flown to London Gatwick Airport

This user has flown to Vancouver International Airport.

This user has flown to Beijing Capital International Airport.

This user has flown to Hong Kong International Airport.

This user has flown to Edinburgh Airport.

This user will be flying to Dalian Jinzhouwan International Airport.

Countries or Territories I've lived in or traveled to:
US states/territories I've traveled to:
Canadian provinces/territories I've lived in or traveled to:
Cities I particularly love:

Articles I created

This is a list of articles that I have initiated:

1. Aichi International Exhibition Center (21 February 2026)
2. Ongava Airstrip (30 March 2026)
3. Kayes Dag-Dag Airport (8 April 2026)
4. List of largest cities by population in 2026 (29 April 2026)

Barnstars and other awards

	The Original Barnstar
	Thank you for creating the article Aichi International Exhibition Center. IAmMoreHandsome (talk) 21:32, 18 February 2026 (UTC)

	The Citation Barnstar
	Thank you for adding the destination list to Shigatse Tingri Airport. RandomAltAccount (talk) 03:58, 4 March 2026 (UTC)

Article draft

List of largest cities by population in 2026 This is a list of the 100 largest cities in the world by population in 2026 according to World Population Review.

Largest cities in the world by population (2026)

Rank	City	Country	2026 Population	2025 Population	Annual Change
1	Tokyo	Japan	36,953,600	37,036,200	0.22%
2	Delhi	India	35,518,400	34,665,600	2.46%
3	Shanghai	China	31,049,800	30,482,100	1.86%
4	Dhaka	Bangladesh	25,359,100	24,652,900	2.86%
5	Cairo	Egypt	23,534,600	23,074,200	1.99%
6	São Paulo	Brazil	23,168,700	22,990,000	0.78%
7	Mexico City	Mexico	23,016,800	22,752,400	1.16%
8	Beijing	China	22,983,400	22,596,500	1.71%
9	Mumbai	India	22,539,300	22,089,000	2.04%
10	Osaka	Japan	18,873,900	18,921,600	0.25%
11	Kinshasa	DR Congo	18,552,800	17,778,500	4.35%
12	Chongqing	China	18,531,600	18,171,200	1.98%
13	Karachi	Pakistan	18,520,100	18,076,800	2.45%
14	Lagos	Nigeria	17,803,700	17,156,400	3.77%
15	Istanbul	Turkey	16,419,100	16,236,700	1.12%
16	Kolkata	India	16,151,400	15,845,200	1.93%
17	Buenos Aires	Argentina	15,890,600	15,752,300	0.88%
18	Manila	Philippines	15,531,900	15,230,600	1.98%
19	Lahore	Pakistan	15,237,800	14,825,800	2.78%
20	Guangzhou	China	15,147,900	14,878,700	1.81%
21	Tianjin	China	14,933,500	14,704,100	1.56%
22	Bangalore	India	14,771,700	14,395,400	2.61%
23	Rio de Janeiro	Brazil	14,023,100	13,923,200	0.72%
24	Shenzhen	China	13,770,000	13,545,400	1.66%
25	Moscow	Russia	12,756,500	12,737,400	0.15%
26	Chennai	India	12,623,100	12,336,000	2.33%
27	Bogotá	Colombia	11,922,100	11,795,800	1.07%
28	Jakarta	Indonesia	11,840,000	11,634,100	1.77%
29	Lima	Peru	11,670,700	11,517,300	1.33%
30	Hyderabad	India	11,608,400	11,337,900	2.39%
31	Bangkok	Thailand	11,543,900	11,391,700	1.34%
32	Paris	France	11,418,300	11,346,800	0.63%
33	Luanda	Angola	10,421,300	10,027,900	3.92%
34	Nanjing	China	10,380,200	10,174,900	2.02%
35	Chengdu	China	10,163,400	9,998,870	1.65%
36	Ho Chi Minh City	Vietnam	10,065,700	9,816,320	2.54%
37	Seoul	South Korea	10,050,200	10,025,800	0.24%
38	London	United Kingdom	9,927,020	9,840,740	0.88%
39	Tehran	Iran	9,840,100	9,729,740	1.13%
40	Nagoya	Japan	9,511,730	9,534,790	0.24%
41	Xi'an	China	9,409,700	9,222,080	2.03%
42	Ahmedabad	India	9,272,670	9,061,820	2.33%
43	Kuala Lumpur	Malaysia	9,175,810	9,000,280	1.95%
44	Wuhan	China	9,121,840	8,986,480	1.51%
45	Dar es Salaam	Tanzania	8,976,930	8,561,520	4.85%
46	Surat	India	8,820,660	8,581,730	2.78%
47	Suzhou	China	8,802,000	8,592,820	2.43%
48	Hangzhou	China	8,749,670	8,591,040	1.85%
49	Baghdad	Iraq	8,370,410	8,141,120	2.82%
50	New York City	United States	8,346,955	8,412,513	0.76%
51	Shenyang	China	8,110,930	7,974,270	1.71%
52	Riyadh	Saudi Arabia	8,079,940	7,952,860	1.60%
53	Foshan	China	7,930,870	7,817,160	1.46%
54	Dongguan	China	7,876,240	7,772,860	1.33%
55	Hong Kong	Hong Kong	7,813,300	7,768,510	0.58%
56	Pune	India	7,706,270	7,525,720	2.40%
57	Harbin	China	7,188,910	7,066,860	1.73%
58	Santiago	Chile	7,048,620	6,999,460	0.70%
59	Khartoum	Sudan	6,980,600	6,754,180	3.35%
60	Madrid	Spain	6,834,320	6,810,530	0.35%
61	Johannesburg	South Africa	6,559,190	6,444,580	1.78%
62	Toronto	Canada	6,551,460	6,491,290	0.93%
63	Dalian	China	6,467,000	6,347,380	1.88%
64	Belo Horizonte	Brazil	6,401,500	6,351,680	0.78%
65	Qingdao	China	6,325,350	6,217,970	1.73%
66	Zhengzhou	China	6,282,970	6,156,140	2.06%
67	Abidjan	Ivory Coast	6,256,340	6,056,880	3.29%
68	Addis Ababa	Ethiopia	6,219,080	5,956,680	4.41%
69	Singapore	Singapore	6,195,860	6,157,270	0.63%
70	Jinan	China	6,180,880	6,065,850	1.90%
71	Nairobi	Kenya	6,002,290	5,766,990	4.08%
72	Alexandria	Egypt	5,921,200	5,807,050	1.97%
73	Yangon	Myanmar	5,920,850	5,813,190	1.85%
74	Chittagong	Bangladesh	5,797,810	5,653,490	2.55%
75	Hanoi	Vietnam	5,764,980	5,602,200	2.91%
76	Barcelona	Spain	5,752,150	5,733,250	0.33%
77	Guadalajara	Mexico	5,656,180	5,578,580	1.39%
78	Ankara	Turkey	5,618,890	5,550,490	1.23%
79	Saint Petersburg	Russia	5,608,910	5,597,340	0.21%
80	Melbourne	Australia	5,464,920	5,391,890	1.35%
81	Fukuoka	Japan	5,453,200	5,465,920	0.23%
82	Monterrey	Mexico	5,347,400	5,272,360	1.42%
83	Sydney	Australia	5,312,640	5,248,790	1.22%
84	Urumqi	China	5,243,920	5,132,170	2.18%
85	Changsha	China	5,221,630	5,128,270	1.82%
86	Cape Town	South Africa	5,147,500	5,063,580	1.66%
87	Jeddah	Saudi Arabia	5,098,230	5,021,600	1.53%
88	Kunming	China	5,044,260	4,955,680	1.79%
89	Brasília	Brazil	5,040,720	4,990,930	1.00%
90	Kabul	Afghanistan	5,034,110	4,877,020	3.22%
91	Yaoundé	Cameroon	5,027,120	4,854,260	3.56%
92	Changchun	China	4,975,060	4,891,020	1.72%
93	Hefei	China	4,924,050	4,830,170	1.94%
94	Ningbo	China	4,869,300	4,770,300	2.08%
95	Shantou	China	4,815,660	4,737,590	1.65%
96	Kano	Nigeria	4,810,810	4,645,320	3.56%
97	Tel Aviv	Israel	4,639,650	4,568,530	1.56%
98	Shijiazhuang	China	4,612,020	4,534,990	1.70%
99	New Taipei	Taiwan	4,591,080	4,563,850	0.60%
100	Kozhikode	India	4,520,410	4,387,410	3.03%