View source for User:Kvasir/Lab

'''This page is for format edit experiments'''
==Lab tools==
[[Help:Sorting]]
==Slab==
=== List of species assessed as extinct in the wild===
{|class="sortable" style="margin-bottom: 0;" cellpadding="1" cellspacing="0"
!style="background:#ADD8E6;"|'''Species'''!!style="background:#ADD8E6;"| '''Common name'''!!style="background:#ADD8E6;unsortable;"| '''Kingdom'''!!style="background:#ADD8E6;"| '''Population'''!!style="background:#ADD8E6;unsortable;"| '''Year assessed'''
|-
| 1||{{flagicon|India}} '''[[Uttar Pradesh]]''' || State|| '''[[India]]'''|| align="right"|'''175,922,300''' ||  ||  
|-
| 2||{{flagicon|India}} [[Maharashtra]] ||State|| India || align="right"|102,502,700  ||  ||  
|-
| 100||{{flagicon|Indonesia}} [[Banten]] || ||Indonesia|| align="right"|   8,676,400 ||  ||
|}

=== List of subnational entities by population===
{|class="sortable" style="margin-bottom: 0;" cellpadding="1" cellspacing="0"
!style="background:#ADD8E6;"|'''Rank'''!!style="background:#ADD8E6;"| '''Subdivision'''!!style="background:#ADD8E6;"| '''Type'''!!style="background:#ADD8E6;unsortable;"| '''Country''' !! style="background:#ADD8E6;"|'''Population''' !! style="background:#ADD8E6;" |'''Area''' !! style="background:#ADD8E6;" |'''Density'''
|-
| 1||{{flagicon|India}} '''[[Uttar Pradesh]]''' || State|| '''[[India]]'''|| align="right"|'''175,922,300''' ||  ||  
|-
| 2||{{flagicon|India}} [[Maharashtra]] ||State|| India || align="right"|102,502,700  ||  ||  
|-
| 3||{{flagicon|China}} '''[[Henan]]''' ||Province|| '''[[People's Republic of China|China]]'''|| align="right"|'''96,011,200''' ||  ||  
|-
| 4||{{flagicon|China}} [[Shandong]] ||Province||  China|| align="right"|93,398,700||  ||
|-
| 5||{{flagicon|India}} [[Bihar]] ||State||  India|| align="right"|87,804,700 ||  ||
|-
| 6||{{flagicon|China}} [[Sichuan]] || Province|| China|| align="right"|  87,795,200||  ||
|-
| 7||{{flagicon|India}} [[West Bengal]] || State||India|| align="right"|84,989,100 ||  ||
|-
| 8||{{flagicon|Pakistan}} '''[[Punjab (Pakistan)|Punjab]]''' || Province|| '''[[Pakistan]]'''|| align="right"|'''84,632,500''' ||  ||
|-
| 9||{{flagicon|India}} [[Andhra Pradesh]] || State||India|| align="right"|80,228,400||  ||
|-
| 10||{{flagicon|China}} [[Guangdong]]|| Province|| China|| align="right"|  75,976,100 ||  ||
|-
| 11||{{flagicon|China}} [[Jiangsu]] ||Province||  China|| align="right"|  73,997,400 ||  ||
|-
| 12||{{flagicon|China}} [[Anhui]] || Province|| China|| align="right"|  69,365,800 ||  ||
|-
| 13||{{flagicon|China}} [[Hebei]] ||Province||  China|| align="right"|  69,104,800||  ||
|-
| 14||{{flagicon|China}} [[Hunan]] || Province|| China|| align="right"|  68,438,400||  ||
|-
| 15||{{flagicon|India}} [[Tamil Nadu]] || State|| India|| align="right"|65,802,400||  ||
|-
| 16||{{flagicon|India}} [[Madhya Pradesh]] || State|| India|| align="right"|63,974,100 ||  ||
|-
| 17||{{flagicon|China}} [[Hubei]] || Province|| China|| align="right"|   61,775,700||  ||
|-
| 18||{{flagicon|India}} [[Rajasthan]] || State|| India|| align="right"|59,829,600||  ||
|-
| 19||{{flagicon|India}} [[Karnataka]] || State|| India|| align="right"|55,868,200 ||  ||
|-
| 20||{{flagicon|India}} [[Gujarat]] || State|| India|| align="right"|53,604,200 ||  ||
|- 
| 21||{{flagicon|United Kingdom}} '''[[England]]''' || Country||'''[[United Kingdom]]'''|| align="right"|'''49,446,600'''||  ||
|-
| 22||{{flagicon|China}} [[Guangxi]] || Province||China|| align="right"|   49,244,200  ||  ||
|-
| 23||{{flagicon|China}} [[Zhejiang]] ||Province||China|| align="right"|   46,773,700   ||  ||
|-
| 24||{{flagicon|China}} [[Liaoning]] || Province||China|| align="right"|   42,997,900   ||  ||
|-
| 25||{{flagicon|China}} [[Jiangxi]] ||Province|| China|| align="right"|   42,840,000   ||  ||
|-
| 26||{{flagicon|China}} [[Yunnan]] || Province||China|| align="right"|   42,119,300 ||  ||
|-
| 27||{{flagicon|Brazil}} '''[[São Paulo State|São Paulo]]''' || State||'''[[Brazil]]'''|| align="right"|'''40,086,700''' ||  ||
|-  
| 28||{{flagicon|India}} [[Orissa]] || State|| India|| align="right"|38,888,600 ||  ||
|-
| 29||{{flagicon|Indonesia}} '''[[West Java]]'''|| || '''[[Indonesia]]'''|| align="right"|'''38,277,900 '''||  ||
|-
| 30||{{flagicon|China}} [[Heilongjiang]] || Province  || China|| align="right"|    38,072,100||  ||
|-
| 31||{{flagicon|China}} [[Guizhou]] || Province   ||China|| align="right"|   37,964,700 ||  ||
|-
| 32||{{flagicon|Indonesia}} [[East Java]] ||  ||Indonesia || align="right"|37,264,500||  ||
|-
| 33||{{flagicon|China}} [[Shaanxi]] || Province ||China|| align="right"|   37,065,100||  ||
|-
| 34||{{flagicon|USA}} '''[[California]]''' || State ||'''[[United States]]'''|| align="right"|   '''36,162,800'''||  ||
|-  
| 35||{{flagicon|Pakistan}} [[Sindh]] || || Pakistan || align="right"|34,968,800 ||  ||
|-
| 36||{{flagicon|China}} [[Fujian]] ||  Province ||China || align="right"|34,341,100 ||  ||
|-
| 37||{{flagicon|India}} [[Kerala]] ||State||India|| align="right"|33,731,000 ||  ||
|-
| 38||{{flagicon|China}} [[Shanxi]] || Province ||China || align="right"|33,602,100||  ||
|-
| 39||{{flagicon|Indonesia}} [[Central Java]] || ||Indonesia || align="right"|33,456,300 ||  ||
|-
| 40||{{flagicon|China}} [[Chongqing]] || Municipality||China || align="right"|32,339,000||  ||
|-
| 41||{{flagicon|India}} [[Jharkhand]] ||State||India|| align="right"|28,508,800||  ||
|-
| 42||{{flagicon|India}} [[Assam]] ||State||India|| align="right"|28,221,700||  ||
|-
| 43||{{flagicon|China}} [[Gansu]] ||Province || China || align="right"|26,303,900||  ||
|-
| 44||{{flagicon|India}} [[Punjab (India)|Punjab]] ||State||India|| align="right"|25,732,900||  ||
|-
| 45||{{flagicon|Ethiopia}} '''[[Oromia]]''' || ||'''[[Ethiopia]]'''|| align="right"|'''25,125,000'''||  ||
|-
| 46||{{flagicon|China}} [[Inner Mongolia]] ||Autonomous Region ||China|| align="right"|24,454,900||  ||
|-
| 47||{{flagicon|Ethiopia}} [[Amhara Region|Amhara ]] || || Ethiopia|| align="right"|24,000,200 ||  ||
|-
| 48||{{flagicon|USA}} [[Texas]] ||State ||United States|| align="right"|22,614,300||  ||
|-
| 49||{{flagicon|India}} [[Haryana]] ||State ||India|| align="right"|22,336,100||  ||
|-
| 50||{{flagicon|India}} [[Chhattisgarh]] ||State ||India|| align="right"|22,032,000   ||  ||
|-
| 51||{{flagicon|Pakistan}} [[North-West Frontier Province|North-West Frontier]] ||Province ||Pakistan|| align="right"|20,468,700 ||  ||
|-
| 52||{{flagicon|USA}} [[New York State|New York ]] ||State ||United States|| align="right"|19,302,200 ||  ||
|-
| 53||{{flagicon|Brazil}} [[Minas Gerais]] || ||Brazil|| align="right"|19,074,500   ||  ||
|-
| 54||{{flagicon|China}} [[Xinjiang]] ||Province ||China|| align="right"|18,933,400   ||  ||
|-
| 55||{{flagicon|Taiwan}} '''[[Taiwan]]''' ||Province ||'''[[Republic of China|China]]'''|| align="right"|'''18,576,518 '''||  ||
|- 
| 56||{{flagicon|Germany}} '''[[North Rhine-Westphalia]]''' || State||'''[[Germany]]'''|| align="right"|'''18,100,000'''||  ||
|-
| 57||{{flagicon|USA}} [[Florida]] ||Province ||United States|| align="right"|17,407,300   ||  ||
|-
| 58||{{flagicon|Brazil}} [[Rio de Janeiro State|Rio de Janeiro ]] ||State ||Brazil|| align="right"|15,485,700    ||  ||
|-
| 59||{{flagicon|India}} [[Delhi]] ||State||India|| align="right"|14,602,200   ||  ||
|-
| 60||{{flagicon|Mexico}} '''[[State of México|México]]''' ||State ||'''[[Mexico]]'''|| align="right"|'''14,349,700'''   ||  ||
|-
| 61||{{flagicon|Argentina}} '''[[Buenos Aires Province|Buenos Aires ]]''' ||Province ||'''[[Argentina]]'''|| align="right"|14,345,700 ||  ||
|-
| 62||{{flagicon|China}} [[Shanghai]] ||Municipality ||China|| align="right"|13,968,500||  ||
|-
| 63||{{flagicon|Ethiopia}} [[SNNPR]] || ||Ethiopia|| align="right"|13,918,200||  ||
|-
| 64||{{flagicon|Brazil}} [[Bahia]] ||State ||Brazil|| align="right"|13,615,200||  ||
|-  
| 65||{{flagicon|Philippines}} '''[[Southern Tagalog]]''' || ||'''[[Philippines]]'''|| align="right"|'''13,498,500'''||  ||
|-
| 66||{{flagicon|Germany}} [[Bavaria]] ||State ||Germany|| align="right"|12,495,000||  ||
|-
| 67||{{flagicon|Indonesia}} [[North Sumatra]] || ||Indonesia|| align="right"|12,480,500 ||  ||
|-
| 68||{{flagicon|Canada}} [[Ontario]] ||Province ||Canada|| align="right"|12,419,600 ||  ||
|-
| 69||{{flagicon|USA}} [[Illinois]] ||State ||United States || align="right"|12,419,293||  ||
|-
| 70||{{flagicon|USA}} [[Pennsylvania]] ||State ||United States || align="right"|12,419,293||  ||
|-
| 71||{{flagicon|Japan}} '''[[Tokyo Prefecture|Tokyo]]''' || ||'''[[Japan]]'''|| align="right"|'''12,292,400'''||  ||
|-
| 72||{{flagicon|Iran}} '''[[Tehran Province|Tehran]]''' ||Province ||'''[[Iran]]'''|| align="right"|'''11,931,700'''||  ||
|-
| 73||{{flagicon|China}} [[Beijing]] ||Municipality ||China|| align="right"|11,879,300||  ||
|-
| 74||{{flagicon|Russia}} '''[[Moscow]]''' || ||'''[[Russia]]'''|| align="right"|11,755,500||  ||
|-
| 75||{{flagicon|USA}} [[Ohio]] ||State ||United States || align="right"|11,483,400||  ||
|-
| 76||{{flagicon|France}} '''[[Île-de-France]]''' ||Region ||'''[[France]]'''|| align="right"|'''11,264,000'''||  ||
|- 
| 77||{{flagicon|Turkey}} '''[[Istanbul Province|Istanbul]]''' ||Province ||'''[[Turkey]]'''|| align="right"|'''11,100,400'''||  ||
|-
| 78||{{flagicon|Brazil}} [[Rio Grande do Sul]] ||State ||Brazil|| align="right"|10,758,700||  ||
|-
| 79||{{flagicon|Germany}} [[Baden-Württemberg]] ||State ||Germany|| align="right"|10,747,479 ||  ||
|-
| 80||{{flagicon|India}} [[Jammu and Kashmir]] ||State ||India|| align="right"|10,668,400||  ||
|-
| 81||{{flagicon|Nigeria}} '''[[Lagos State|Lagos]]''' ||State ||'''[[Nigeria]]'''|| align="right"|'''10,405,000'''||  ||
|-
| 82||{{flagicon|Philippines}} [[Metro Manila]] ||State ||Philippines|| align="right"|10,330,100||  ||
|-
| 83||{{flagicon|South Korea }} '''[[Seoul]]''' || ||'''[[South Korea ]]'''|| align="right"|'''10,276,968'''||  ||
|-
| 84||{{flagicon|USA}} [[Paraná]] || State||Brazil|| align="right"|  10,157,000 ||  ||
|-
| 85||{{flagicon|USA}} [[Michigan]] || State||United States || align="right"|   10,137,900   ||  ||
|-
| 86||{{flagicon|South Africa }} '''[[KwaZulu-Natal]]''' ||Province ||'''[[South Africa ]]'''|| align="right"|'''10,070,500'''||  ||
|-
| 87||{{flagicon|South Korea}} [[Gyeonggi]] || State||South Korea || align="right"| 10,041,800 ||  ||
|-
| 88||{{flagicon|Nigeria}} [[Kano State|Kano]] ||State ||Nigeria|| align="right"|  9,964,100 ||  ||
|-
| 89||{{flagicon|South Africa }} [[ Gauteng Province|Gauteng]] ||Province ||South Africa || align="right"|9,839,100 ||  ||
|-
| 90||{{flagicon|China}} [[Tianjin]] ||Municipality ||China|| align="right"| 9,576,600   ||  ||
|-
| 91||{{flagicon|Philippines}} [[Central Luzon]] || ||Philippines|| align="right"| 9,023,600   ||  ||
|-
| 92||{{flagicon|Indonesia}} [[Jakarta]] || ||Indonesia|| align="right"| 8,987,800   ||  ||
|-
| 93||{{flagicon|India}} [[Uttarakhand]] ||State ||India|| align="right"|  8,983,500   ||  ||
|-
| 94||{{flagicon|Italy}} '''[[Lombardy]]''' || ||'''[[Italy]]'''|| align="right"|  '''8,898,400''' ||  ||
|-
| 95||{{flagicon|USA}} [[Georgia]] || State||United States || align="right"|   8,875,600   ||  ||
|-
| 96||{{flagicon|Japan}} [[Osaka Prefecture|Osaka]] || Prefecture||Japan|| align="right"|   8,804,800 ||  ||
|-
| 97||{{flagicon|USA}} [[New Jersey]] ||State ||United States || align="right"|   8,749,200||  ||
|-
| 98||{{flagicon|Mexico}} [[Mexican Federal District]] ||Federal District ||Mexico|| align="right"|   8,720,700||  ||
|-
| 99||{{flagicon|Japan}} [[Kanagawa Prefecture|Kanagawa]] || Prefecture||Japan|| align="right"|   8,683,800||  ||
|-
| 100||{{flagicon|Indonesia}} [[Banten]] || ||Indonesia|| align="right"|   8,676,400 ||  ||
|}




{| class="collapsible collapsed" style="text-align: left; margin-bottom: 0;"
!width="400"| '''{{flag|Northern Territory|size=20px}}'''
|-
|
{|class="sortable" style="margin-bottom: 0;" cellpadding="1" cellspacing="0"
!style="background:#ADD8E6;"|'''Prefix'''!!style="background:#ADD8E6;"| '''Ship''' !! style="background:#ADD8E6;"|'''Year''' !! style="background:#ADD8E6;" class="unsortable"|Possible or Last Known Location
|-
|  ||''Nft West''||align="center"|1989 ||somewhere in [[Arafura Sea]]<ref name="eas-nt" />
|-
|  ||''Peron''||align="center"|1948 ||somewhere near [[Darwin, Northern Territory]]<ref name="eas-nt" >http://oceans1.customer.netspace.net.au/nt-main.html</ref>
|-
|  ||''Phoenix''||align="center"|1950 ||somewhere between Truscott and [[Darwin, Northern Territory]]<ref name="eas-nt" />
|}
|}

Research the following and add these to the list
atlantic 
|-
|  ||''Scanderia''||align="center"|1872 ||somewhere between New York and [[Queenstown]]<ref>http://query.nytimes.com/mem/archive-free/pdf?res=940CE6DC163BEF34BC4D53DFB4678389669FDE</ref>
|-



*1878 Dec 17 64 Homer   Do.
*1879 Jan 11 65 Zanzibar    Do. 48 Do.   
*1879 Feb 18 66 Surbiton   Do. 33 Do.   
*1879 Mar 19 67 Bernicia   Do. 45 Do. 
*1883 Jan 3 85 Straits of Dover    British 27 Never heard of 
*1884 Dec 24 95 Coniston   Do. 27 Never heard of   
*1885 Jan 20 96 Fernwood   Do. 25 Do.   
*1885 Jan 20 97 Preston   Do. 29 Do.   
*1885 jan 24 98 Clandon   Do. 27 Do. 
*1885 Feb 15 100 Humber   Do. 56 Never heard of 
*1890 Nov 26 118 Thanemore Johnston Line Do. 43 Never heard of 

*Indus (1) 1866 ship, 1873 went missing at sea with cargo of rice and party of coolies.   nourse


*http://oceans1.customer.netspace.net.au/austrun-wrecks.html

<!--
I Don’t Know. Two masted schooner, 76 tons. Built Bay of Islands, NZ, 1843; reg. Bay of Islands 4/1843, transfered to Sydney 14 August 55/1845, to Hobart 5 May 15/1847, 14/1848. Lbd 57.1 x 8.3 x 9.9 ft. Master Thomas Griffiths. On 21 Februaary 1850, sailed from Hobart for San Franscisco with nine passengers for the goldfields but ws never seen again. She is assumed to have been wrecked or foundered in the South Seas. [ASW1] 

* "Mahogany ship" (c. 1522) - Probably a Portuguese caravel, location no longer known. (victoria)
(missing wreck)
-->

Despatch. (Dispatch). Wooden barque, 362 tons. Built Portsmouth, Great Britain, 1812; reg. London. Captain Pritchard. From Sydney to London with wool, abandoned after catching fire when about 150 miles from Lord Howe Island, 8 March 1839. One boat was picked up by the whaler Governor Burke and taken on to Sydney, while a search commenced for a second boat containing 21 seamen. They were picked up by the whaler Woodlark; apparently they reached Lord Howe Island, then set out for the mainland, but were never seen again. [LN][LI],[LAH - name Dispatch],[SAN - barquentine, lost 11 March] 

:N.S.W., QUEENSLAND, SOUTH AUSTRALIA, VICTORIA, WEST. AUSTRALIA,  
AUSTRALIA RUN, GENERAL INTERNATIONAL NEW ZEALAND SOUTH PACIFIC
35, 36, 37

 
|  ||''Booya''||align="center"|1974 ||somewhere between Darwin to Dili<ref name="eas-nt" />
|-

John & Jane.  Schooner, 30 tons. # 48412. Built at Williamstown, Victoria, 1863; reg. Melbourne 57/1863, 3/1871. Lbd 56.1 x 15.4 x 6.2 ft. On 28 February 1883, sailed from Melbourne for Cape Barren Island, Furneaux Group, eastern Bass Strait, where she was to pick up tin ore samples, but failed to arrive. She was last seen off Cape Schanck, Victoria, on 16 April. A boat was found on Badger Island that was believed, although not confirmed, to have come from the missing schooner, which was thought to have been wrecked when nearing her destination.  At the time the Victorian Government steamer Despatch was searching Bass Strait for traces of either the John & Jane or Sea Nymph, but found no trace of either. [TS1]  furneaux

Result. Barque, 724 tons. # 66553. Built at Medford, USA, 1852 as the full-rigged ship Polar Star, but was renamed on registration as a British ship in 1873; when lost was registered at Melbourne 19/1878,  in the name of Huddart, Parker & Co. Lbd 146.6 x 30.2 x 22.8 ft. Captain McMaster. On 26 September 1880, sailed from Newcastle for Melbourne with 1100 tons of coal, and full complement of fourteen, plus the master’s wife and chiild, but last seen at the eastern entrance to Bass Strait by the barque Sydney Griffiths on 4 October 1880. HMCS Victoria left Melbourne to search the Victorian coast and the Bass Strait Islands for any trace of the missing ship, without success. In 1972 abalone divers discovered a wreck off Point Hicks, Victoria which was speculated to be the Result, but this was never confirmed and she could just as easily have come to grief anywhere in eastern Bass Strait.   kentt

Sea Nymph. Brig, 289 tons. # 50399. Built at Shoreham, UK, 1865; reg. Sydney 101/1882. Lbd 119.0 x 26.5 x 14.9 ft. Captain John Moreton. Sailed from Maryborough, Queensland for Melbourne on 10 February 1883 with a cargo of cedar but failed to arrive. In April the Victorian Government steamer Despatch was sent out in search of the Sea Nymph and the schooner John & Jane, missing on a voyage from Melbourne to Cape Barren Island, but found no trace of either.  It does, however, appear possible that she capsized west of the Furneaux Group and her upturned hull was mistaken for the Louisa, (qv), missing late the previous year. On 27 April 1883 the lower mast of a large sailing vessel was reported off Eddystone Point from the Allenshaw, and may also have been a relic from either the Louisa or Sea Nymph.[TS1]    kent


* [[John (ship)|''John'']] - 1806{{Fact|date=April 2008}}

|-
|
{|class="sortable wikitable" style="margin-bottom: 0;"
!'''Prefix''' !! '''Ship''' !! '''Year''' !! class="unsortable"|Possible or Last Known Location
|-
|  ||[[Madagascar (ship)|''Madagascar'']]  ||align="center"|1853 || somewhere between [[Port Phillip]] and [[London]]<ref name="mad" /> (also listed under ''Atlantic Ocean'')
|}
|}


{| class="wikitable"
! Date !!colspan=2| City !! Country
|- bgcolor="lightblue"
| [[March 25]] || colspan=2|[[Olympia, Greece|Olympia]] || rowspan=2| {{GRE}}
|- bgcolor="lightblue"
|}




{| class="sortable wikitable"
|- bgcolor="#ececec"
| '''Rank''' || '''Country''' / '''Territory''' || '''Area (km²)'''{{ref label|dybTable3|a|a}} || '''% of Total''' || '''Notes'''
|-
| — || [[File:Emblem-earth.svg|x15px|link=World]] ''[[World]]''||  align=right| 148,939,063 || 100% || Total land coverage (29.2% of Earth's surface)
|-
|}

{| class="wikitable"
! Date !!colspan=2| City !! Country
|- bgcolor="lightblue"
| [[March 25]] || colspan=2|[[Olympia, Greece|Olympia]] || rowspan=2| {{GRE}}
|- bgcolor="lightblue"
| [[March 30]] || colspan=2|[[Athens]]
|- bgcolor="lightblue"
| [[March 31]] || colspan=2|[[Beijing]] || {{CHN}}
|- bgcolor="lightblue"
| [[April 2]] || colspan=2|[[Almaty]] || {{KAZ}}
|- bgcolor="lightblue"
| [[April 3]] || colspan=2|[[Istanbul]] || {{TUR}}
|- bgcolor="lightblue"
| [[April 5]] || colspan=2|[[St.Petersburg]] || {{RUS}}
|- bgcolor="lightblue"
| [[April 6]] || colspan=2|[[London]] || {{GBR}}
|- bgcolor="lightblue"
| [[April 7]] || colspan=2|[[Paris]] || {{FRA}}
|- bgcolor="lightblue"
| [[April 9]] || colspan=2|[[San Francisco, California|San Francisco]] || {{USA}}
|- bgcolor="lightblue"
| [[April 11]] || colspan=2|[[Buenos Aires]] || {{ARG}}
|- bgcolor="lightblue"
| [[April 13]] || colspan=2|[[Dar es Salaam]] || {{TZA}}
|- bgcolor="lightblue"
| [[April 14]] || colspan=2|[[Muscat, Oman|Muscat]] || {{OMN}}
|- bgcolor="lightblue"
| [[April 16]] || colspan=2|[[Islamabad]] || {{PAK}}
|-
| [[April 17]] || colspan=2|[[New Delhi]] || {{IND}}
|-
| [[April 19]] || colspan=2|[[Bangkok]] || {{THA}}
|-
| [[April 21]] || colspan=2|[[Kuala Lumpur]] || {{MYS}}
|-
| [[April 22]] || colspan=2|[[Jakarta]] || {{INA}}
|-
| [[April 24]] || colspan=2|[[Canberra]] || {{AUS}}
|-
| [[April 26]] || colspan=2|[[Nagano]] || {{JPN}}
|-
| [[April 27]] || colspan=2|[[Seoul]] || {{KOR}}
|-
| [[April 28]] || colspan=2|[[Pyongyang]] || {{PRK}}
|-
| [[April 29]] || colspan=2|[[Ho Chi Minh City]] || {{VNM}}
|-
| [[May 2]] || colspan=2|[[Hong Kong]] || {{HKG}}, [[special administrative region|SAR]]
|-
| [[May 3]] || colspan=2|[[Macau]]||{{MAC}}, SAR

|}

{| class="wikitable"
! Date !! City !! Province !! {{CHN}}
|- 
| [[May 4]] ||[[Sanya]] ||rowspan=4|[[Hainan]]
|-
| [[May 5]] ||[[Wuzhishan]]
|-
| [[May 5]] ||[[Wanning]]
|-
| [[May 6]] ||[[Haikou]]
|-
| [[May 7]] ||[[Guangzhou]] ||rowspan=4|[[Guangdong]]
|-
| [[May 8]] ||[[Shenzhen]]
|-
| [[May 9]] ||[[Huizhou]]
|-
| [[May 10]] ||[[Shantou]]
|-
| [[May 11]] ||[[Fuzhou]] ||rowspan=4|[[Fujian]]
|-
| [[May 12]] ||[[Quanzhou]]
|-
| [[May 12]] ||[[Xiamen]]
|-
| [[May 13]] ||[[Longyan]]
|-
| [[May 14]] ||[[Ruijin]] ||rowspan=3|[[Jiangxi]]
|-
| [[May 15]] ||[[Jinggangshan]]
|-
| [[May 16]] ||[[Nanchang]]
|-
| [[May 17]] ||[[Wenzhou]] ||rowspan=5|[[Zhejiang]]
|-
| [[May 17]] ||[[Ningbo]]
|-
| [[May 18]] ||[[Hangzhou]]
|-
| [[May 19]] ||[[Shaoxing]]
|-
| [[May 19]] ||[[Jiaxing]]
|-
| [[May 20]] || colspan=2|[[Shanghai]]
|-
| [[May 22]] ||[[Suzhou]] ||rowspan=5|[[Jiangsu]]
|-
| [[May 22]] ||[[Nantong]]
|-
| [[May 23]] ||[[Taizhou, Jiangsu|Taizhou]]
|-
| [[May 24]] ||[[Yangzhou]]
|-
| [[May 24]] ||[[Nanjing]]
|-
| [[May 26]] ||[[Hefei]] ||rowspan=5|[[Anhui]]
|-
| [[May 27]] ||[[Huainan]]
|-
| [[May 27]] ||[[Wuhu]]
|-
| [[May 28]] ||[[Jixi]]
|-
| [[May 28]] ||[[Huangshan]]
|-
| [[May 29]] ||[[Wuhan]] ||rowspan=3|[[Hubei]]
|-
| [[May 30]] ||[[Yichang]]
|-
| [[May 31]] ||[[Jingzhou]]
|-
| [[June 1]] ||[[Yueyang]] ||rowspan=3|[[Hunan]]
|-
| [[June 2]] ||[[Changsha]]
|-
| [[June 3]] ||[[Shaoshan]]
|-
| [[June 4]] ||[[Guilin]] ||rowspan=3|[[Guangxi]]
|-
| [[June 5]] ||[[Nanning]]
|-
| [[June 6]] ||[[Baise]]
|-
| [[June 7]] ||[[Kunming]] ||rowspan=3|[[Yunnan]]
|-
| [[June 8]] ||[[Lijiang]]
|-
| [[June 9]] ||[[Shangri-La County|Xamgyi'nyilha]]
|-
| [[June 10]] ||[[Guiyang]] ||rowspan=3|[[Guizhou]]
|-
| [[June 11]] ||[[Kaili]]
|-
| [[June 12]] ||[[Zunyi]]
|-
| [[June 13]] || colspan=2|[[Chongqing]]
|-
| [[June 15]] ||[[Guang'an]] ||rowspan=7|[[Sichuan]]
|-
| [[June 15]] ||[[Mianyang]]
|-
| [[June 16]] ||[[Guanghan]]
|-
| [[June 16]] ||[[Leshan]]
|-
| [[June 17]] ||[[Zigong]]
|-
| [[June 17]] ||[[Yibin]]
|-
| [[June 18]] ||[[Chengdu]]
|-
| [[June 19]] ||[[Shannan Prefecture]] ||rowspan=2|[[Tibet Autonomous Region|Tibet]]
|-
| [[June 20]] ||[[Lhasa]]
|-
| [[June 22]] ||[[Golmud]] ||rowspan=3|[[Qinghai]]
|-
| [[June 23]] ||[[Qinghai Hu]]
|-
| [[June 24]] ||[[Xining]]
|-
| [[June 25]] ||[[Ürümqi]] ||rowspan=4|[[Xinjiang]]
|-
| [[June 26]] ||[[Kashi]]
|-
| [[June 27]] ||[[Shihezi]]
|-
| [[June 27]] ||[[Changji]]
|-
| [[June 28]] ||[[Dunhuang]] ||rowspan=5|[[Gansu]]
|-
| [[June 28]] ||[[Jiayuguan]]
|-
| [[June 29]] ||[[Jiuquan]]
|-
| [[June 30]] ||[[Tianshui]]
|-
| [[June 30]] ||[[Lanzhou]]
|-
| [[July 2]] ||[[Zhongwei]] ||rowspan=3|[[Ningxia]]
|-
| [[July 3]] ||[[Wuzhong]]
|-
| [[July 4]] ||[[Yinchuan]]
|-
| [[July 5]] ||[[Yan'an]] ||rowspan=4|[[Shaanxi]]
|-
| [[July 6]] ||[[Yangling]]
|-
| [[July 6]] ||[[Xianyang]]
|-
| [[July 7]] ||[[Xi'an]]
|-
| [[July 8]] ||[[Yuncheng]] ||rowspan=4|[[Shanxi]]
|-
| [[July 8]] ||[[Pingyao]]
|-
| [[July 9]] ||[[Taiyuan]]
|-
| [[July 10]] ||[[Datong]]
|-
| [[July 11]] ||[[Hohhot]] ||rowspan=4|[[Inner Mongolia]]
|-
| [[July 12]] ||[[Ordos]]
|-
| [[July 12]] ||[[Baotou]]
|-
| [[July 13]] ||[[Chifeng]]
|-
| [[July 14]] ||[[Qiqihar]] ||rowspan=3|[[Heilongjiang]]
|-
| [[July 15]] ||[[Daqing]]
|-
| [[July 16]] ||[[Harbin]]
|-
| [[July 17]] ||[[Songyuan]] ||rowspan=4|[[Jilin]]
|-
| [[July 17]] ||[[Changchun]]
|-
| [[July 18]] ||[[Jilin]]
|-
| [[July 19]] ||[[Yanji]]
|-
| [[July 20]] ||[[Shenyang]] ||rowspan=5|[[Liaoning]]
|-
| [[July 21]] ||[[Benxi]]
|-
| [[July 21]] ||[[Liaoyang]]
|-
| [[July 21]] ||[[Anshan]]
|-
| [[July 22]] ||[[Dalian]]
|-
| [[July 23]] ||[[Yantai]] ||rowspan=8|[[Shandong]]
|-
| [[July 23]] ||[[Weihai]]
|-
| [[July 24]] ||[[Qingdao]]
|-
| [[July 24]] ||[[Rizhao]]
|-
| [[July 25]] ||[[Linyi]]
|-
| [[July 25]] ||[[Qufu]]
|-
| [[July 25]] ||[[Tai'an]]
|-
| [[July 26]] ||[[Jinan]]
|-
| [[July 28]] ||[[Shangqiu]] ||rowspan=5|[[Henan]]
|-
| [[July 28]] ||[[Kaifeng]]
|-
| [[July 29]] ||[[Zhengzhou]]
|-
| [[July 30]] ||[[Luoyang]]
|-
| [[July 31]] ||[[Anyang]]
|-
| [[August 1]] ||[[Shijiazhuang]] ||rowspan=3|[[Hebei]]
|-
| [[August 2]] ||[[Qinhuangdao]]
|-
| [[August 3]] ||[[Tangshan]]
|-
| [[August 4]] || colspan=2|[[Tianjin]]
|-
| [[August 6]] || colspan=2|Beijing
|}