right|thumb|upright=1.15|The [[Nile as seen from a cruise boat between Luxor and Aswan in Egypt]]
thumb|upright=1.15|Chart of the World's Mountains and Rivers by [[J. H. Colton, 1855]]
This is a list of the longest rivers on Earth. It includes river systems over in length.
Definition of length
There are many factors, such as the identification of the source, the identification or the definition of the mouth, and the scale of measurement of the river length between source and mouth, that determine the precise meaning of "river length". As a result, the length measurements of many rivers are only approximations (see also coastline paradox). In particular, there seems to exist disagreement as to whether the Nile or the Amazon is the world's longest river. The Nile has traditionally been considered longer, but in 2007 and 2008 some scientists claimed that the Amazon is longer by measuring the river plus the adjacent Pará estuary and the longest connecting tidal canal. A peer-reviewed article published 2009 in the International Journal of Digital Earth concludes that the Nile is longer.
Even when detailed maps are available, the length measurement is not always clear. A river may have multiple channels, or anabranches. The length may depend on whether the center or the edge of the river is measured. It may not be clear how to measure the length through a lake or reservoir. Seasonal and annual changes may alter both rivers and lakes. Other factors that can change the length of a river include cycles of erosion and flooding, dams, levees, and channelization. In addition, the length of meanders can change significantly over time due to natural or artificial cutoffs, when a new channel cuts across a narrow strip of land, bypassing a large river bend. For example, due to 18 cutoffs created between 1766 and 1885, the length of the Mississippi River from Cairo, Illinois, to New Orleans, Louisiana, was reduced by .
|2,490
|Mediterranean
|Ethiopia, Eritrea, Sudan, Uganda, Tanzania, Kenya, Rwanda, Burundi, Egypt, Democratic Republic of the Congo, South Sudan
|-
!scope="row" style="background-color:#ffd39b;"| 2.
|Amazon–Ucayali–Tambo–Ene–Mantaro
|Atlantic Ocean
|Brazil, Peru, Colombia
|-
!scope="row" style="background-color:#ffffaa;"| 3.
|Yangtze–Jinsha–Tongtian–Dangqu <br><small>(Chang Jiang)</small>
|6,300<br><small>(6,418)</small>
|3,917<br><small>(3,988)</small>
|1,970,000
|31,900
|East China Sea
|China
|-
!scope="row" style="background-color:#ccffff;"| 4.
|Mississippi–Missouri–Jefferson–Beaverhead–Red Rock–Hell Roaring
|6,275<br>
|3,902<br>
|3,248,000
|21,300
|20,200
|Kara Sea
|Russia (97%), Mongolia (2.9%)
|-
!scope="row" style="background-color:#ffffaa;"| 6.
|Yellow River <small>(Huang He)</small>
|5,464
|3,395
|752,546
|2,571
|Bohai Sea
|China
|-
!scope="row" style="background-color:#ffffaa;"| 7.
|Ob–Irtysh
|5,410
|3,364
|2,990,000
|Gulf of Ob
|Russia, Kazakhstan, China, Mongolia
|-
!scope="row" style="background-color:#ffd39b;"| 8.
|Río de la Plata–Paraná–Rio Grande
|4,880<br>
|3,030<br>
|3,182,064
|27,225
|Río de la Plata
|Brazil (46.7%), Argentina (27.7%), Paraguay (13.5%), Bolivia (8.3%), Uruguay (3.8%)
|-
!scope="row" style="background-color:#ccccff;"| 9.
|Congo–Lualaba-Luvua-Luapula-Chambeshi<br><small>(Zaïre)</small>
|4,700<br>
|2,922<br>
|3,680,000
|41,400
|Atlantic Ocean
|Democratic Republic of the Congo, Central African Republic, Angola, Republic of the Congo, Tanzania, Cameroon, Zambia, Burundi, Rwanda
|-
!scope="row" style="background-color:#ffffaa;"| 10.
|Amur–Argun
<small>(Heilong Jiang)</small>
|4,444
|2,763
|1,855,000
|12,360
|Sea of Okhotsk
|Russia, China, Mongolia
|-
!scope="row" style="background-color:#ffffaa;"| 11.
|Lena
|4,400
|2,736
|2,490,000
|Laptev Sea
|Russia
|-
!scope="row" style="background-color:#ffffaa;"| 12.
|Mekong <small>(Lancang Jiang)</small>
|4,350
|2,705
|810,000
|16,010
|South China Sea
|China, Myanmar, Laos, Thailand, Cambodia, Vietnam
|-
!scope="row" style="background-color:#ccffff;"| 13.
|Mackenzie–Slave–Peace–Finlay
|4,241
|2,637
|1,805,200
|Beaufort Sea
|Canada
|-
!scope="row" style="background-color:#ccccff;"| 14.
|Niger
|4,200
|2,611
|2,117,700
|8,570
|Gulf of Guinea
|Nigeria (26.6%), Mali (25.6%), Niger (23.6%), Algeria (7.6%), Guinea (4.5%), Cameroon (4.2%), Burkina Faso (3.9%), Côte d'Ivoire, Benin, Chad
|-
!scope="row" style="background-color:#ffffaa;"| 15.
|Brahmaputra–Yarlung Tsangpo
|3,969
|2,466
|712,035
|27,000
|Ganges
|India (58.0%), China (28.8%), Bangladesh (6.6%), Disputed India/China (4.2%), Bhutan (2.4%)
|-
!scope="row" style="background-color:#ccff66;"| 16.
|Murray–Darling–Culgoa–Balonne–Condamine
|3,672
|2,282
|1,061,000
|767
|Southern Ocean
|Australia
|-
!scope="row" style="background-color:#ffd39b;"| 17.
|Tocantins–Araguaia
|3,650
|2,270
|950,000
|17,600
|Atlantic Ocean (Marajó Bay), Amazon Delta
|Brazil
|-
!scope="row" style="background-color:#ffc0cb;"| 18.
|Volga
|3,645
|2,266
|1,380,000
|8,380
|Caspian Sea
|Russia
|-
!scope="row" style="background-color:#ffffaa;"| 19.
|Shatt al-Arab–Euphrates–Murat
|3,596
|2,236
|938,173
|3,350
|Persian Gulf
|Iraq, Turkey, Syria, Iran
|-
!scope="row" style="background-color:#ffd39b;"| 20.
|Madeira–Mamoré–Grande–Caine–Rocha
|3,380
|2,100
|1,485,200
|31,200
|Amazon
|Brazil, Bolivia, Peru
|-
!scope="row" style="background-color:#ffd39b;"| 21.
|Purús
|3,211
|1,995
|376,600
|11,207
|Amazon
|Brazil, Peru
|-
!scope="row" style="background-color:#ccffff;"| 22.
|Yukon
|3,185
|1,980
|854,700
|Bering Sea
|United States (59.8%), Canada (40.2%)
|-
!scope="row" style="background-color:#ffffaa;"| 23.
|Indus–Sênggê Zangbo
|3,180
|1,976
|1,081,718
|5,533
|Andaman Sea
|China (52.4%), Myanmar (43.9%), Thailand (3.7%)
|-
!scope="row" style="background-color:#ccffff;"| 27.
|Saint Lawrence–Niagara–Detroit–Saint Clair–Saint Marys–Saint Louis–North <small>(Great Lakes)</small>
|3,058
|1,900
|Gulf of Saint Lawrence
|Canada (52.1%), United States (47.9%)
|-
!scope="row" style="background-color:#ccffff;"| 28.
|Rio Grande
|3,057
|1,900
|390,000
|1,200
|Gulf of California
|United States, Mexico
|-
!scope="row" style="background-color:#ffc0cb;"| 31.
|Danube–Breg <small>(Donau, Dunăre, Duna, Dunav, Dunaj)</small>
|2,888*
|1,795*
|801,463
|6,452
|Black Sea
|Romania (28.9%), Hungary (11.7%), Austria (10.3%), Serbia (10.3%), Germany (7.5%), Slovakia (5.8%), Bulgaria (5.2%), Croatia (4.5%), Ukraine (3.8%), Bosnia and Herzegovina, Moldova, Montenegro, Czech Republic, Switzerland, Slovenia
|-
!scope="row" style="background-color:#ffffaa;"| 32.
|Irrawaddy River–N'Mai River–Dulong River–Kelaoluo–Gada Qu
|2,809*
|1,745.8*
|404,200*
|15,112
|Andaman Sea
|China, Myanmar
|-
!scope="row" style="background-color:#ccccff;"| 33.
|Zambezi <small>(Zambesi)</small>
|2,740*
|1,703*
|1,330,000
|4,880
|Mozambique Channel
|Zambia (41.6%), Angola (18.4%), Zimbabwe (15.6%), Mozambique (11.8%), Malawi (8.0%), Tanzania (2.0%), Namibia, Botswana
|-
!scope="row" style="background-color:#ffffaa;"| 34.
|Vilyuy
|2,720
|1,700
|454,000
|1,480
|Lena
|Russia
|-
!scope="row" style="background-color:#ffffaa;"| 35.
|Padma-Ganges-Alaknanda <small>(Ganga)</small>
|2,704
|1,690
|1,024,000
|16,000
|Bay of Bengal
|India, Bangladesh, China, Nepal
|-
!scope="row" style="background-color:#ffffaa;"| 36.
|Amu Darya–Panj
|2,620
|1,628
|534,739
|1,400
|Aral Sea
|Uzbekistan, Turkmenistan, Tajikistan, Afghanistan
|-
!scope="row" style="background-color:#ffd39b;"| 37.
|Japurá <small>(Caquetá)</small>
|2,615*
|1,625*
|289,000
|18,122
|Amazon
|Brazil, Colombia
|-
!scope="row" style="background-color:#ccffff;"| 38.
|Nelson–Saskatchewan–South Saskatchewan–Bow
|2,570
|1,597
|1,111,890
|Hudson Bay
|Canada, United States
|-
!scope="row" style="background-color:#ffd39b;"| 39.
|Paraguay <small>(Rio Paraguay)</small>
|2,549
|1,584
|900,000
|4,300
|Paraná
|Brazil, Paraguay, Bolivia, Argentina
|-
!scope="row" style="background-color:#ffffaa;"| 40.
|Kolyma
|2,513
|1,562
|647,000
|East Siberian Sea
|Russia
|-
!scope="row" style="background-color:#ffd39b;"| 41.
|Pilcomayo
|2,500
|1,553
|270,000
|200
|Paraguay
|Paraguay, Argentina, Bolivia
|-
!scope="row" style="background-color:#ffffaa;"| 42.
|Upper Ob–Katun
|2,490
|1,547
|1,040,000
|
|Ob
|Russia
|-
!scope="row" style="background-color:#ffffaa;"| 43.
|Ishim
|2,450
|1,522
|177,000
|56
|Irtysh
|Kazakhstan, Russia
|-
! scope="row" style="background-color:#ccccff;" | 44.
|Orange
|2,432
|1,511
|973,000
|365
|Atlantic Ocean
|South Africa, Namibia, Botswana, Lesotho
|-
! scope="row" style="background-color:#ffc0cb;" | 45.
|Ural
|2,428
|1,509
|237,000
|475
|Caspian Sea
|Russia, Kazakhstan
|-
! scope="row" style="background-color:#ffd39b;" | 46.
|Juruá
|2,410
|1,499
|190,573
|6,004
|Amazon
|Peru, Brazil
|-
! scope="row" style="background-color:#ccffff;" | 47.
|Arkansas
|2,348
|1,459
|505,000<br><small>(435,122)</small>
|1,066
|Mississippi
|United States
|-
! scope="row" style="background-color:#ffffaa;" | 48.
|Songhua
|2,309
|1,435
|557,180
|2,410
|Amur
|China
|-
! scope="row" style="background-color:#ffffaa;" | 49.
|Olenyok
|2,292
|1,424
|219,000
|1,210
|Laptev Sea
|Russia
|-
! scope="row" style="background-color:#ffc0cb;" | 50.
|Dnieper
|2,287
|1,421
|516,300
|1,670
|Black Sea
|Ukraine, Belarus, Russia
|-
! scope="row" style="background-color:#ffffaa;" | 51.
|Aldan
|2,273
|1,412
|729,000
|5,501
|Lena
|Russia
|-
! scope="row" style="background-color:#ccccff;" | 52.
|Ubangi–Uele
|2,270
|1,410
|651,915
|5,936
|Congo
|Democratic Republic of the Congo, Central African Republic, Republic of Congo
|-
! scope="row" style="background-color:#ffd39b;" | 53.
|Negro
|2,250
|1,398
|720,114
|34,573
|Amazon
|Brazil, Venezuela, Colombia
|-
! scope="row" style="background-color:#ccffff;" | 53.
|Columbia-Snake
|2,250
|1,398
|671,000
|7,500
|Pacific Ocean
|Canada (30%), United States (70%)
|-
! scope="row" style="background-color:#ffd39b;" | 55.
|Tapajós-Teles Pires
|2,210
|1,290
|494,254
|13,540
|Amazon
|Brazil
|-
! scope="row" style="background-color:#ffffaa;" | 56.
|Pearl–Xi-Xun-Qian-Hongshui-Nanpan
|2,200
|1,376
|437,000
|10,700
|South China Sea
|China (98.5%), Vietnam (1.5%)
|-
! scope="row" style="background-color:#ccffff;" | 57.
|Red (USA)
|2,188
|1,360
|78,592
|875
|Mississippi
|United States
|-
! scope="row" style="background-color:#ccccff;" | 58.
|Kasai
|2,153
|1,338
|880,200
|10,000
|Congo
|Angola, Democratic Republic of the Congo
|-
! scope="row" style="background-color:#ccffff;" | 59.
|Ohio–Allegheny
|2,102
|1,306
|490,603
|7,957
|Mississippi
|United States
|-
! scope="row" style="background-color:#ffd39b;" | 60.
|Orinoco
|2,101
|1,306
|1,014,797
|39,000
|Atlantic Ocean
|Venezuela, Colombia, Guyana
|-
! scope="row" style="background-color:#ffffaa;" | 61.
|Tarim
|2,100
|1,305
|1,020,000
|
|Lop Nur
|China
|-
! scope="row" style="background-color:#ffd39b;" | 61.
|Xingu
|2,100
|1,305
|520,292
|10,023
|Amazon
|Brazil
|-
! scope="row" style="background-color:#ccccff;" | 63.
|Jubba–Shebelle
|2,064
|1,282
|749,000
|
|Indian Ocean
|Ethiopia, Somalia
|-
! scope="row" style="background-color:#ccffff;" | 64.
|Brazos-Double Mountain Fork-North Fork-Blackwater Draw
|2,060
|1,280
|8,520
|Amazon
|Brazil, Peru, Colombia, Ecuador
|-
! scope="row" style="background-color:#ffffaa;" | 67.
|Vitim
|1,978
|1,229
|225,000
|1,937
|Lena
|Russia
|-
! scope="row" style="background-color:#ffffaa;" | 68.
|Chenab
|1,974
|675
|160,000
|977.3
|Indus
|India, Pakistan
|-
! scope="row" style="background-color:#ffffaa;" | 69.
|Tigris
|1,950
|1,212
|375,000
|1,014
|Shatt al-Arab
|Turkey, Iraq, Syria, Iran
|-
! scope="row" style="background-color:#ffc0cb;" | 70.
|Don
|1,870
|1,162
|425,600
|935
|Sea of Azov
|Russia, Ukraine
|-
! scope="row" style="background-color:#ffffaa;" | 71.
|Stony Tunguska
|1,865
|1,159
|240,000
|1,750
|Yenisey
|Russia
|-
! scope="row" style="background-color:#ffc0cb;" | 72.
|Pechora
|1,809
|1,124
|312,041
|Volga
|Russia
|-
! scope="row" style="background-color:#ccccff;" | 74.
|Limpopo
|1,800
|1,118
|413,000
|313.4
|Indian Ocean
|Mozambique, Zimbabwe, South Africa, Botswana
|-
! scope="row" style="background-color:#ffffaa;" | 75.
|Chulym
|1,799
|1,118
|134,000
|
|Ob
|Russia
|-
! scope="row" style="background-color:#ffd39b;" | 76.
|Guaviare
|1,760
|1,090
|151,607
|7,529
|Orinoco
|Colombia
|-
! scope="row" style="background-color:#ffd39b;" | 77
|Marañón
|1,737
|1,079
|364,873
|16,708
|Amazon
|Peru
|-
! scope="row" style="background-color:#ffffaa;" | 78.
|Indigirka
|1,726
|1,072
|360,400
|1,810
|East Siberian Sea
|Russia
|-
! scope="row" style="background-color:#ccffff;" | 79.
|Platte
|1,690
|1,050
|219,900
|199.3
|Missouri
|United States
|-
! scope="row" style="background-color:#ccccff;" | 80.
|Senegal
|1,641
|1,020
|419,659
|680
|Atlantic Ocean
|Guinea, Senegal, Mali, Mauritania
|-
! scope="row" style="background-color:#ffffaa;" | 81.
|Khatanga–Kotuy
|1,636
|1,017
|364,000
|Laptev Sea
|Russia
|-
! scope="row" style="background-color:#ccccff;" | 82.
|Upper Jubba-Ganale Dorya
|1,634
|7,058
|Atlantic Ocean
|Uruguay, Argentina, Brazil
|-
! scope="row" style="background-color:#ccffff;" | 84.
|Churchill
|1,609
|1,000
|281,300
|1,200
|Hudson Bay
|Canada
|-
! scope="row" style="background-color:#ccccff;" | 85.
|Blue Nile
|1,600
|994
|326,400
|1,548
|Nile
|Ethiopia, Sudan
|-
! scope="row" style="background-color:#ccccff;" | 85.
|Okavango <small>(Cubango)</small>
|1,600
|994
|530,000
|475
|Okavango Delta
|Namibia, Angola, Botswana
|-
! scope="row" style="background-color:#ccccff;" | 85.
|Volta
|1,600
|994
|407,093
|1,210
|Gulf of Guinea
|Ghana, Burkina Faso, Togo, Côte d'Ivoire, Benin
|-
! scope="row" style="background-color:#ffd39b;" | 88.
|Beni
|1,599
|994
|283,350
|8,900
|Madeira
|Bolivia
|-
! scope="row" style="background-color:#ffffaa;" | 89.
|Shilka-Onon
|1,592
|989
|206,000
|440
|Amur
|Russia (86%), Mongolia (14%)
|-
! scope="row" style="background-color:#ffffaa;" | 90.
|Tobol
|1,591
|989
|426,000
|805
|Irtysh
|Kazakhstan, Russia
|-
! scope="row" style="background-color:#ffffaa;" | 91.
|Alazeya
|1,590
|988
|64,700
|320
|East Siberian Sea
|Russia
|-
! scope="row" style="background-color:#ccccff;" | 92.
|Kafue
|1,576
|979
|155,000
|320
|Zambezi
|Zambia (99.6%), Democratic Republic of the Congo (0.4%)
|-
! scope="row" style="background-color:#ffffaa;" | 93.
|Yalong
|1,571
|976
|128,444
|1,810
|Yangtze
|China
|-
! scope="row" style="background-color:#ffd39b;" | 94.
|Magdalena
|1,550
|963
|263,858
|8,058
|Caribbean Sea
|Colombia
|-
! scope="row" style="background-color:#ffffaa;" | 95.
|Han
|1,532
|952
|174,300
|1,632
|Yangtze
|China
|-
! scope="row" style="background-color:#ffffaa;" | 96.
|Kura/Mt'k'vari
|1,515
|941
|188,400
|575
|Caspian Sea
|Turkey, Georgia, Azerbaijan
|-
! scope="row" style="background-color:#ffc0cb;" | 97.
|Oka
|1,500
|932
|245,000
|1,310
|Volga
|Russia
|-
! scope="row" style="background-color:#ccff66;" | 97.
|Upper Murray
|1,500
|932
|260,000
|
|Lower Murray
|Australia
|-
! scope="row" style="background-color:#ffffaa;" | 99.
|Yana-Sartang
|1,492
|927
|238,000
|1,110
|Laptev Sea
|Russia
|-
! scope="row" style="background-color:#ccffff;" | 100.
|Pecos
|1,490
|926
|115,000
|7.5
|Rio Grande
|United States
|-
! scope="row" style="background-color:#ccff66;" | 101.
|Murrumbidgee River
|1,485
|1,430
|889
|Columbia
|United States, Canada
|-
! scope="row" style="background-color:#ccccff;" | 110.
|Upper Tocantins
|1,427
|887
|310,000
|
|Tocantins
|Brazil
|-
! scope="row" style="background-color:#ffc0cb;" | 111.
|Belaya
|1,420
|882
|142,000
|858
|Kama
|Russia
|-
! scope="row" style="background-color:#ccff66;" | 111.
|Cooper–Barcoo
|1,420
|880
|297,950
|36
|Lake Eyre
|Australia
|-
! scope="row" style="background-color:#ffc0cb;" | 113.
|Dniester
|1,411 (1,352)
|877 (840)
|72,100
|310
|Black Sea
|Ukraine, Moldova
|-
!scope="row" style="background-color:#ffffaa;"| 114.
|Taz
|1,401
|871
|150,000
|1,450
|Taz Estuary
|Russia
|-
! scope="row" style="background-color:#ccccff;" | 115.
|Benue
|1,400
|870
|319,000
|3,477
|Niger
|Cameroon, Nigeria
|-
! scope="row" style="background-color:#ccccff;" | 115.
|Chari
|1,400
|870
|548,747
|1,059
|Lake Chad
|Chad, Cameroon, Niger, Nigeria
|-
! scope="row" style="background-color:#ffd39b;" | 115.
|Parnaíba
|1,400
|870
|344,112
|
|Atlantic Ocean
|Brazil
|-
! scope="row" style="background-color:#ccff66;" | 115.
|Warburton–Georgina
|1,400
|870
|408,005
|60
|Lake Eyre
|Australia
|-
! scope="row" style="background-color:#ccffff;" | 119.
|Colorado (Texas)
|1,387
|862
|103,000
|73.9
|Gulf of Mexico
|United States
|-
! scope="row" style="background-color:#ffffaa;" | 120.
|Yamuna
|1,376
|855
|366,223
|2,950
|Ganges
|India
|-
!scope="row" style="background-color:#ffd39b;"| 121.
|Apaporis
|1,370
|851
|57,430.6
|4,092
|Japurá
|Colombia (93%), Brazil (7%),
|-
! scope="row" style="background-color:#ffffaa;" | 121.
|Nen <small>(Nonni)</small>
|1,370
|851
|270,000
|
|Songhua
|China
|-
! scope="row" style="background-color:#ffc0cb;" | 121.
|Vyatka
|1,370
|851
|129,000
|890
|Kama
|Russia
|-
! scope="row" style="background-color:#ccffff;" | 124.
|Fraser
|1,368
|850
|220,000
|3,475
|Pacific Ocean
|Canada, United States
|-
! scope="row" style="background-color:#ffd39b;" | 125.
|Grande
|1,360
|845
|143,000
|
|Paraná
|Brazil
|-
! scope="row" style="background-color:#ffffaa;" | 126.
|Kızıl River
|1,355
|734
|115,000
|400
|Black Sea
|Turkey
|-
! scope="row" style="background-color:#ffd39b;" | 127.
|Madre de Dios
|1,347
|837
|125,000
|4,915
|Beni
|Peru, Bolivia
|-
! scope="row" style="background-color:#ffffaa;" | 128.
|Liao-Xiliao-Laoha
|1,345
|836
|232,000
|500
|Bohai Sea
|China
|-
! scope="row" style="background-color:#ccff66;" | 129.
|Lachlan River
|1,339
|828
|98,796
|1,447
|Arabian Sea
|India
|-
! scope="row" style="background-color:#ffffaa;" | 131.
|Hai
|1,329
|826
|318,200
|717
|Bohai Sea
|China
|-
! scope="row" style="background-color:#ffd39b;" | 132.
|Branco-Uraricoera
|1,326
|824
|192,393
|6,469
|Rio Negro
|Brazil (96%), Guyana (7%), Venezuela (1%)
|-
! scope="row" style="background-color:#ffd39b;" | 133.
|Iguaçu
|1,320
|820
|67,537
|1,746
|Paraná
|Brazil, Argentina
|-
!scope="row" style="background-color:#ffffaa;"| 134.
|Taseyeva-Chuna
|1,319
|820
|128,000
|740
|Angara
|Russia
|-
!scope="row" style="background-color:#ffd39b;"| 135.
|Javari
|1,309
|814
|109,680
|5,225
|Amazon
|Brazil (78%), Peru (22%)
|-
! scope="row" style="background-color:#ffc0cb;" | 136.
|Northern Dvina–Sukhona
|1,302
|809
|350,496
|Guaviare
|Colombia
|-
! scope="row" style="background-color:#ffd39b;" | 137.
|Iriri
|1,300
|808
|141,943
|3,028
|Xingu
|Brazil
|-
! scope="row" style="background-color:#ffc0cb;" | 137.
|Neva-Vuoksi
|1,300
|808
|282,300
|2,628
|Gulf of Finland
|Russia, Finland, Belarus
|-
! scope="row" style="background-color:#ccccff;" | 140.
|Ruki
|1,296
|805
|173,800
|4,450
|Congo
|Democratic Republic of the Congo
|-
! scope="row" style="background-color:#ffffaa;" | 141.
|Krishna
|1,290
|800
|258,948
|2,213
|Bay of Bengal
|India
|-
! scope="row" style="background-color:#ccccff;" | 142.
|Lomami
|1,280
|795
|110,000
|
|Congo
|Democratic Republic of the Congo
|-
! scope="row" style="background-color:#ccffff;" | 143.
|Ottawa
|1,271
|790
|146,300
|1,950
|Saint Lawrence
|Canada
|-
! scope="row" style="background-color:#ccffff;" | 144.
|Rio Grande de Santiago-Lerma
|1,270
|789
|119,543
|320
|Pacific Ocean
|Mexico
|-
! scope="row" style="background-color:#ffd39b;" | 145.
|Guaporé <small>(Itenez)</small>
|1,260
|780
|341,000
|2,430
|Mamoré
|Brazil, Bolivia
|-
! scope="row" style="background-color:#ccffff;" | 146.
|Red (Canada)-Assiniboine-Souris
|1,260
|780
|287,500
|244
|Lake Winnipeg
|Canada (56%), US (44%)
|-
! scope="row" style="background-color:#ffc0cb;" | 147.
|Elbe–Vltava
|1,252
|778
|148,268
|711
|North Sea
|Germany, Czech Republic
|-
! scope="row" style="background-color:#ffffaa;" | 148.
|Zeya
|1,242
|772
|233,000
|1,810
|Amur
|Russia
|-
! scope="row" style="background-color:#ffd39b;" | 149.
|Juruena
|1,240
|771
|192,628
|4,936.7
|Tapajós
|Brazil
|-
! scope="row" style="background-color:#ccffff;" | 150.
|Upper Mississippi
|1,236
|768
|450,000
|4,800
|Mississippi
|United States
|-
! scope="row" style="background-color:#ffc0cb;" | 151.
|Rhine
|1,233
|768
|185,000
|2,330
|North Sea
|Germany (57.3%), Switzerland (15.1%), Netherlands (12.3%), France (12.2%), Luxembourg (1.4%), Austria (1.3%), Belgium (0.4%), Liechtenstein (0.1%), Italy (0.03%)
|-
! scope="row" style="background-color:#ccffff;" | 152.
|Athabasca
|1,231
|765
|95,300
|783
|Mackenzie
|Canada
|-
!scope="row" style="background-color:#ffffaa;"| 153.
|Markha
|1,231
|765
|99,000
|405
|Vilyuy
|Russia
|-
! scope="row" style="background-color:#ccffff;" | 154.
|Canadian
|1,223
|760
|123,220
|182.2
|Arkansas
|United States
|-
! scope="row" style="background-color:#ccffff;" | 155.
|North Saskatchewan
|1,220
|758
|122,800
|238
|Saskatchewan
|Canada
|-
! scope="row" style="background-color:#ccffff;" | 156.
|Kansas-Republican
|1,218
|757
|155,690
|205
|Missouri
|US
|-
! scope="row" style="background-color:#ffc0cb;" | 157.
|Vistula–Narew-Bug
|1,213
|754
|194,424
|1,080
|Baltic Sea
|Poland, Belarus, Ukraine, Slovakia
|-
! scope="row" style="background-color:#ccccff;" | 158.
|Awash
|1,200
|746
|69,197
|Atlantic Ocean
|Gabon, Republic of the Congo
|-
!scope="row" style="background-color:#ccccff;"| 161.
|Fimi-Lukenie
|1,194
|742
|133,432
|
|Kasai
|Democratic Republic of the Congo
|-
! scope="row" style="background-color:#ccffff;" | 162.
|Mobile
|1,192
|741
|115,000
|1,900
|Gulf of Mexico
|US
|-
!scope="row" style="background-color:#ccccff;"| 163.
|Lukuga
|1,184
|736
|244,500
|
|Lualaba
|Tanzania (62%), Democratic Republic of the Congo (26%), Zambia (6%), Burundi (5%), Rwanda (2%)
|-
! scope="row" style="background-color:#ffffaa;" | 164.
|Min-Dadu
|1,182
|734
|133,000
|2,850
|Yangtze
|China
|-
! scope="row" style="background-color:#ffffaa;" | 165.
|Markha
|1,181
|734
|99,000
|405
|Vilyuy
|Russia
|-
!scope="row" style="background-color:#ffd39b;"| 166.
|Aripuanã
|1,175
|730
|147,224
|4,064
|Madeira
|Brazil
|-
! scope="row" style="background-color:#ccffff;" | 167.
|Milk
|1,173
|729
|62,000
|17.5
|
Missouri
|United States, Canada
|-
! scope="row" style="background-color:#ffffaa;" | 168.
|Mun - Chi
|1,162
|722
|119,180
|725
|Mekong River
|Thailand
|-
! scope="row" style="background-color:#ccffff;" | 168.
|White
|
|722
|71,910
|834.8
|Mississippi
|United States
|-
! scope="row" style="background-color:#ffffaa;" | 170.
|Chindwin
|1,158
|720
|114,685
|4,740
|Ayeyarwady
|Myanmar
|-
! scope="row" style="background-color:#ccccff;" | 171.
|Sankuru
|1,150
|715
|150,000
|
|Kasai
|Democratic Republic of the Congo
|-
!scope="row" style="background-color:#ffffaa;"| 171.
|Wu
|1,150
|715
|80,300
|1,108
|Yangtze
|China
|-
!scope="row" style="background-color:#ffffaa;"| 173.
|Red (Asia)
|1,149
|714
|143,700
|4,300
|Gulf of Tonkin
|China, Vietnam
|-
!scope="row" style="background-color:#ccffff;"| 174.
|James (Dakotas)
|1,143
|710
|54,240
|18.3
|Missouri
|United States
|-
!scope="row" style="background-color:#ffffaa;"| 175.
|Kapuas
|1,143
|710
|98,749
|6,012
|South China Sea
|Indonesia
|-
! scope="row" style="background-color:#ffd39b;" | 176.
|Paraíba do Sul
|1,137
|696
|56,000
|
|Atlantic Ocean
|Brazil
|-
!scope="row" style="background-color:#ccccff;"| 177.
|Yobe-Hadejia
|1,135
|705
|183,009
|
|Lake Chad
|Nigeria (68%), Niger (32%)
|-
! scope="row" style="background-color:#ffc0cb;" | 178.
|Desna
|1,130
|702
|88,900
|360
|Dnieper
|Russia, Belarus, Ukraine
|-
! scope="row" style="background-color:#ffffaa;" | 178.
|Helmand
|1,130
|702
|150,000
|
|Hamun-i-Helmand
|Afghanistan, Iran
|-
!scope="row" style="background-color:#ffd39b;"| 178.
|Tietê
|1,130
|702
|72,168
|937
|Paraná
|Brazil
|-
!scope="row" style="background-color:#ffc0cb;"| 178.
|Vychegda
|1,130
|702
|121,000
|1160
|Northern Dvina
|Russia
|-
!scope="row" style="background-color:#ffffaa;"| 182.
|Sepik
|1,126
|700
|77,700
|5,000
|Pacific Ocean
|Papua New Guinea, Indonesia
|-
! scope="row" style="background-color:#ccccff;" | 182.
|Sobat-Pibor
|1,126
|700
|225,000
|412
|White Nile
|South Sudan (60%), Ethiopia (29%), Kenya (10%), Uganda (2%)
|-
!scope="row" style="background-color:#ffffaa;"| 184.
|Orkhon
|1,124
|698
|132,835
|66
|Selenga
|Mongolia
|-
!scope="row" style="background-color:#ccffff;"| 185.
|Cimarron
|1,123
|698
|49,100
|32.9
|Arkansas
|United States
|-
!scope="row" style="background-color:#ffffaa;"| 186.
|Anadyr
|1,120
|696
|191,000
|2,020
|Gulf of Anadyr
|Russia
|-
! scope="row" style="background-color:#ffffaa;" | 187.
|Jialing River
|1,119
|695
|160,000
|
|Yangtze
|China
|-
! scope="row" style="background-color:#ccffff;" | 188.
|Liard
|1,115
|693
|277,100
|2,434
|Mackenzie
|Canada
|-
!scope="row" style="background-color:#ffffaa;"| 189.
|Omolon
|1,114
|692
|113,000
|
|Kolyma
|Russia
|-
!scope="row" style="background-color:#ffffaa;"| 190.
|Mamberamo River
|1,112
|691
|78,992
|5,923
|Pacific Ocean
|Indonesia
|-
!scope="row" style="background-color:#ccffff;"| 191.
|Cumberland
|1,105
|687
|46,830
|862
|Mississippi
|United States
|-
!scope="row" style="background-color:#ccccff;"| 192.
|Omo
|1,104
|5,136
|Gulf of Carpentaria
|Australia
|-
! scope="row" style="background-color:#ccffff;" | 226.
|Koksoak
|1,000
|621
|136,262 However, the origin of the river at Nevado Mismi had already been known more than one decade earlier (see Jacek Palkiewicz), and satellite based measuring from this origin to the Amazon mouth has resulted in not more than 6,400 km.
- Generally, the most commonly used/anglicised name of the river is used. The name in a native language or alternate spelling may be shown.
River systems that may have existed in the past
Amazon–Congo
The Amazon basin formerly drained westwards into the Pacific Ocean, until the Andes rose and reversed the drainage.
The Congo basin is completely surrounded by high land, except for its long narrow exit valley past Kinshasa, including waterfalls around Manyanga. That gives the impression that most of the Congo basin was formerly on a much higher land level and that the Congo River was rejuvenated by much of its lower course being removed, likeliest when Africa split from South America when Gondwanaland broke up due to continental drift, and before that, the Congo would likely have flowed into the Amazon, There is some debate as to whether this river would have flowed southwest into what is now the English Channel, or flowed north, emerging into the North Sea close to modern Yorkshire. If the latter hypothesis is true, the Rhine would have attained a length of close to . The former hypothesis would have produced a shorter river, some in length. Current scientific research favours the former opinion, with the Thames and Rhine meeting in a large lake, the outflow of which was close to the present-day Straits of Dover.
See also
- Lists of rivers
- List of drainage basins by area
- List of rivers by discharge
- List of river films and television series
- List of rivers of Antarctica
Notes and references
;Notes
;References
External links
- Principal Rivers of the World