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Daftar negara menurut PDB (nominal) per kapita: Perbedaan antara revisi

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negara menurut PDB (nominal) per kapita
 
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Baris 1:
Berikut adalah daftar ekonomi negara-negara di dunia yang disusun menurut [[produk domestik bruto]] (PDB) per kapitanya di pasar atau nilai tukar resmi pemerintah. Data di sini adalah perkiraan untuk tahun [[2022]] yang dihasilkan oleh [[Dana Moneter Internasional]]. Ditampilkan juga data menurut Dana Moneter Internasional tahun [[2019]], [[Bank Dunia]] tahun [[2018]], dan [[Badan Intelijen Pusat]] tahun [[2007]].
<!--[[Berkas:GDP nominal per capita world map IMF 2008.png|thumb|right|300px|Map of countries by 2008 GDP (nominal) per capita (Estimates by the [[IMF]], April 2008).]]
-->[[Berkas:GDP nominal per capita world map IMF 2007.PNG|300px|thumb|Peta dunia tahun 2007, diwarnai berdasarkan [[produk domestik bruto|PDB]] (nominal) [[per kapita]]. Sumber: [[Dana Moneter Internasional|IMF]], April 2008.]]
 
[[File:Map of countries by GDP (nominal) per capita in 2022.svg|thumb|420x420px|Negara atau teritori berdasarkan PDB (nominal) [[per kapita]] pada 2022.
Berikut adalah '''[[daftar negara di dunia]] diurutkan berdasarkan [[produk domestik bruto]] (PDB) pada [[nilai nominal]] [[per kapita]]''', nilai seluruh barang dan jasa yang dihasilkan di suatu negara dalam satu tahun, dikonversikan ke [[Dolar Amerika Serikat|Dolar AS]] pada [[nilai tukar]] pasar, dibagi dengan rata-rata jumlah penduduk dalam tahun tersebut.<!--
 
{| width=100%
This article includes three '''lists of [[countries of the world]] sorted by their [[gross domestic product]] [[per capita]] at [[nominal value]]s''', the value of all final goods and services produced within a nation in a given year, converted at market [[exchange rate]]s to current [[U.S. dollar]]s, divided by the average (or mid-year) population for the same year.
|-
| valign=top |
{{Legend|#00008a|>[[Dolar Amerika Serikat|US$]]60.000}}
{{Legend|#003c00|US$50.000 − US$60.000}}
{{Legend|#008f00|US$40.000 − US$50.000}}
{{Legend|#00f900|US$30.000 − US$40.000}}
| valign=top |
{{Legend|#b3ff00|US$20.000 − US$30.000}}
{{Legend|#ffff00|US$10.000 − US$20.000}}
{{Legend|#ffd215|US$5.000 − US$10.000}}
{{Legend|#ff852f|US$2.500 − US$5.000}}
| valign=top |
{{Legend|#ff0000|US$1.000 − US$2.500}}
{{Legend|#a30000|US$500 − US$1.000}}
{{Legend|#660000|<US$500}}
{{Legend|#b9b9b9|Tidak ada data}}
|}
]]
 
== Daftar menurut IMF tahun 2022 ==
The figures presented here do not take into account differences in the cost of living in different countries, and the results can vary greatly from one year to another based on fluctuations in the [[exchange rate]]s of the country's [[currency]]. Such fluctuations may change a country's ranking from one year to the next, even though they often make little or no difference to the standard of living of its population. Therefore these figures should be used with caution.
 
{|class="wikitable"|} style="margin:auto; width:100%; font-size:100%"
Comparisons of national wealth are also frequently made on the basis of [[purchasing power parity]] (PPP), to adjust for differences in the cost of living in different countries. (''See'' [[List of countries by GDP (PPP) per capita]].) PPP largely removes the exchange rate problem, but has its own drawbacks. It does not reflect the value of economic output in international trade, and it also requires more estimation than GDP per capita. On the whole PPP per capita figures are more narrowly spread than GDP per capita figures.
|-
| style="width:33%; text-align:center;" | '''Daftar menurut [[Dana Moneter Internasional]] (2022)'''<ref name="GDP IMF">{{cite web|url=https://www.imf.org/en/Publications/WEO/weo-database/2022/April|title=World Economic Outlook Database|last=|first=|date=19 April 2022|website=|publisher=[[International Monetary Fund]]|archive-url=https://web.archive.org/web/20220419134621/https://www.imf.org/en/Publications/WEO/weo-database/2022/April|archive-date=2022-04-19|dead-url=no|access-date=3 Mei 2022}}</ref>
| style="width:33%; text-align:center;" | '''Daftar menurut Dana Moneter Internasional (2022)'''
| style="width:33%; text-align:center;" | '''Daftar menurut Dana Moneter Internasional (2022)'''
|- valign="top"
|<!-- IMF DATA - VERIFIED AS CURRENT ON 19 APRIL 2022-->
{| class="wikitable sortable" style="margin-left:auto; margin-right:auto; margin-top:0;"
|-
! style="width:3%;" data-sort-type="number" | Rank !! [[Negara]]/[[Wilayah|Teritori]] !! PDB per Kapita (dalam [[Dolar Amerika Serikat|US$]])
|-
|align=right|1||{{flag|Luksemburg}}||align=center|135.046
|-
|align=right|2||{{flagcountry|Irlandia}}||align=center|101.509
|-
|align=right|3||{{flag|Norwegia}}||align=center|99.841
|-
|align=right|4||{{flag|Swiss}}||align=center|96.930
|-
|align=right|5||{{flag|Qatar}}||align=center|84.514
|-
|align=right|6||{{flag|Brunei Darussalam}}||align=center|79.816
|-
|align=right|7||{{flag|Singapura}}||align=center|79.576
|-
|align=right|8||{{flag|Amerika Serikat}}||align=center|76.027
|-
|align=right|9||{{flag|Islandia}}||align=center|74.417
|-
|align=right|10||{{flag|Denmark}}||align=center|68.094
|-
|align=right|11||{{flag|Australia}}||align=center|67.464
|-
|-style="background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |[[Australasia]]||align=center|64.539
|-
|align=right|12||{{flag|Swedia}}||align=center|57.978
|-
|align=right|13||{{flag|Belanda}}||align=center|57.836
|-
|-style="background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |[[Amerika Utara]]||align=center|57.408
|-
|align=right|14||{{flag|Kanada}}||align=center|57.406
|-
|align=right|15||{{flag|Israel}}||align=center|55.535
|-
|align=right|16||{{flag|Finlandia}}||align=center|53.745
|-
|align=right|17||{{flag|Austria}}||align=center|53.371
|-
|align=right|18||{{flag|Belgia}}||align=center|52.485
|-
|align=right|19||{{flag|Jerman}}||align=center|51.104
|-
|align=right|20||{{flag|Makau}}||align=center|50.578
|-
|align=right|21||{{flag|Uni Emirat Arab}}||align=center|50.349
|-
|align=right|22||{{flag|San Marino}}||align=center|49.901
|-
|align=right|23||{{flag|Hong Kong}}||align=center|49.850
|-
|align=right|24||{{flag|Selandia Baru}}||align=center|49.847
|-
|align=right|25||{{flag|Britania Raya}}||align=center|49.761
|-
|align=right|26||{{flag|Perancis}}||align=center|44.747
|-
|align=right|27||{{flag|Andorra}}||align=center|41.390
|-
|align=right|28||{{flag|Jepang}}||align=center|39.423
|-
|align=right|29||{{flag|Kuwait}}|| align=center|38.755
|-
|align=right|30||{{flag|Puerto Riko}}||align=center|37.823
|-
|align=right|31||{{flag|Taiwan}}||align=center|36.501
|-
|align=right|32||{{flag|Korea Selatan}}||align=center|34.994
|-
|align=right|33||{{flag|Italia}}||align=center|34.777
|-
|-style="background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |[[Eropa]]||align=center|34.231
|-
|align=right|34||{{flag|Malta}}||align=center|33.904
|-
|align=right|35||{{flag|Bahama}}||align=center|32.077
|-
|align=right|36||{{flag|Siprus}}||align=center|30.663
|-
|align=right|37||{{flag|Slovenia}}||align=center|30.159
|-
|align=right|38||{{flag|Spanyol}}||align=center|30.157
|-
|align=right|39||{{flag|Bahrain}}||align=center|29.103
|-
|align=right|40||{{flag|Aruba}}||align=center|28.863
|-
|align=right|41||{{flag|Arab Saudi}}||align=center|28.759
|-
|align=right|42||{{flag|Estonia}}||align=center|27.791
|-
|align=right|43||{{flag|Republik Ceko}}||align=center|27.609
|-
|align=right|44||{{flag|Lithuania}}||align=center|25.015
|-
|align=right|45||{{flag|Portugal}}||align=center|24.495
|-
|align=right|46||{{flag|Oman}}||align=center|23.416
|-
|align=right|47||{{flag|Slowakia}}||align=center|21.665
|-
|align=right|48||{{flag|Latvia}}||align=center|21.311
|-
|align=right|49||{{flag|Yunani}}||align=center|20.940
|-
|align=right|50||{{flag|Hungaria}}||align=center|20.336
|-
|align=right|51||{{flag|Iran}}||align=center|20.261
|-
|align=right|52||{{flag|Saint Kitts dan Nevis}}||align=center|19.117
|-
|align=right|53||{{flag|Barbados}}||align=center|19.110
|-
|align=right|54||{{flag|Polandia}}||align=center|18.506
|-
|align=right|55||{{flag|Uruguay}}||align=center|18.083
|-
|align=right|56||{{flag|Trinidad dan Tobago}}||align=center|17.921
|-
|align=right|57||{{flag|Seychelles}}||align=center|17.693
|-
|align=right|58||{{flag|Kroasia}}||align=center|17.338
|-
|align=right|59||{{flag|Guyana}}||align=center|17.108
|-
|align=right|60||{{flag|Antigua dan Barbuda}}||align=center|16.085
|-
|align=right|61||{{flag|Panama}}||align=center|16.038
|-
|align=right|62||{{flag|Chili}}||align=center|15.941
|-
|align=right|63||{{flag|Romania}}||align=center|14.825
|-
|align=right|64||{{flag|Republik Rakyat Tiongkok}}{{refn|Angka tidak termasuk [[Daerah administratif khusus Tiongkok|daerah administratif khusus]] [[Hong Kong]] dan [[Makau]].|group = n}}||align=center|14.096
|-
|align=right|65||{{flag|Maladewa}}||align=center|14.078
|}
|<!-- IMF DATA - CURRENT ON 19 APRIL 2022-->
{| class="wikitable sortable" style="margin-left:auto; margin-right:auto; margin-top:0;"
|-
! style="width:2em;" data-sort-type="number" | Rank !! Negara/Teritori !! PDB per Kapita (dalam US$)
|-
|align=right|66||{{flag|Palau}}||align=center|13.706
|-
|-style="font-weight:bold;background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |{{noflag}}[[Dunia]]||align=center| 13.447
|-
|align=right|67||{{flag|Malaysia}}||align=center|13.268
|-
|align=right|68||{{flag|Bulgaria}}||align=center|13.101
|-
|align=right|69||{{flag|Rusia}}||align=center|12.575
|-
|align=right|70||{{flag|Kosta Rika}}||align=center|12.483
|-
|align=right|71||{{flag|Turkmenistan}}||align=center|12.274
|-
|align=right|72||{{flag|Argentina}}||align=center|12.187
|-
|align=right|73||{{flag|Saint Lucia}}||align=center|11.364
|-
|align=right|74||{{flag|Guinea Khatulistiwa}}||align=center|10.902
|-
|align=right|75||{{flag|Grenada}}||align=center|10.472
|-
|align=right|76||{{flag|Gabon}}||align=center|10.390
|-
|align=right|77||{{flag|Republik Dominika}}||align=center|10.259
|-
|align=right|78||{{flag|Meksiko}}||align=center|10.166
|-
|align=right|79||{{flag|Nauru}}||align=center|10.005
|-
|align=right|80||{{flag|Kazakhstan}}||align=center|10.003
|-
|align=right|81||{{flag|Montenegro}}||align=center|9.673
|-
|align=right|82||{{flag|Serbia}}||align=center|9.503
|-
|-style="background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |[[Asia-Pasifik]]''||align=center|8.895
|-
|align=right|83||{{flag|Mauritius}}||align=center|8.892
|-
|align=right|84||{{flag|Saint Vincent dan Grenadine}}||align=center|8.595
|-
|align=right|85||{{flag|Dominika}}||align=center|8.575
|-
|align=right|86||{{flag|Brazil}}||align=center|8.570
|-
|-style="background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |[[Amerika Selatan]]||align=center|8.342
|-
|align=right|87||{{flag|Turki}}||align=center|8.081
|-
|align=right|88||{{flag|Botswana}}||align=center|7.519
|-
|align=right|89||{{flag|Thailand}}||align=center|7.449
|-
|align=right|90||{{flag|Libya}}||align=center|7.197
|-
|align=right|91||{{flag|Azerbaijan}}||align=center|7.165
|-
|align=right|92||{{flag|Irak}}||align=center|7.038
|-
|align=right|93||{{flag|Peru}}||align=center|7.034
|-
|align=right|94||{{flag|Afrika Selatan}}||align=center|6.979
|-
|align=right|95||{{flag|Makedonia Utara}}||align=center|6.863
|-
|align=right|96||{{flag|Kolombia}}||align=center|6.807
|-
|align=right|97||{{flag|Bosnia dan Herzegovina}}||align=center|6.726
|-
|align=right|98||{{flag|Ekuador}}||align=center|6.412
|-
|align=right|99||{{flag|Belarus}}||align=center|6.384
|-
|align=right|100||{{flag|Albania}}||align=center|6.260
|-
|align=right|101||{{flag|Tuvalu}}||align=center|6.047
|-
|align=right|102||{{flag|Jamaika}}||align=center|5.730
|-
|align=right|103||{{flag|Fiji}}||align=center|5.685
|-
|align=right|104||{{flag|Paraguay}}||align=center|5.626
|-
|align=right|105||{{flag|Georgia}}||align=center|5.618
|-
|align=right|106||{{flag|Moldova}}||align=center|5.435
|-
|align=right|107||{{flag|Kosovo}}||align=center|5.355
|-
|align=right|108||{{flag|Tonga}}||align=center|5.283
|-
|align=right|109||{{flag|Mongolia}}||align=center|5.206
|-
|align=right|110||{{flag|Namibia}}||align=center|5.016
|-
|align=right|111||{{flag|Guatemala}}||align=center|4.864
|-
|align=right|112||{{flag|Suriname}}||align=center|4.843
|-
|align=right|113||{{flag|Ukraina}}||align=center|4.828
|-
|align=right|114||{{flag|Kepulauan Marshall}}||align=center|4.756
|-
|align=right|115||{{flag|Armenia}}||align=center|4.741
|-
|align=right|116||{{flag|Indonesia}}||align=center|4.691
|-
|align=right|117||{{flag|El Salvador}}||align=center|4.689
|-
|align=right|118||{{flag|Yordania}}||align=center|4.691
|-
|align=right|119||{{flag|Belize}}||align=center|4.520
|-
|align=right|120||{{flag|Aljazair}}||align=center|4.294
|-
|align=right|121||{{flag|Mesir}}||align=center|4.162
|-
|align=right|122||{{flag|Vietnam}}||align=center|4.122
|-
|align=right|123||{{flag|Federasi Mikronesia}}||align=center|4.066
|-
|align=right|124||{{flag|Samoa}}||align=center|4.059
|-
|align=right|125||{{flag|Eswatini}}||align=center|4.036
|-
|align=right|126||{{flag|Lebanon}}||align=center|4.003
|-
|align=right|127||{{flag|Angola}}||align=center|3.793
|-
|align=right|128||{{flag|Djibouti}}||align=center|3.775
|-
|align=right|129||{{flag|Tunisia}}||align=center|3.763
|}
|<!-- IMF DATA - CURRENT ON 19 APRIL 2022-->
{| class="wikitable sortable" style="margin-left:auto; margin-right:auto; margin-top:0;"
! style="width:2em;" data-sort-type="number" | Rank !! Negara/Teritori !! PDB per Kapita (dalam US$)
|-
|align=right|130||{{flag|Sri Lanka}}||align=center|3.699
|-
|align=right|131||{{flag|Filipina}}||align=center|3.687
|-
|align=right|132||{{flag|Palestina}}{{refn|Nama yang digunakan dalam laporan IMF adalah "[[Tepi Barat]] dan [[Gaza]]".|group = n}}||align=center|3.682
|-
|align=right|133||{{flag|Maroko}}||align=center|3.629
|-
|align=right|134||{{flag|Tanjung Verde}}||align=center|3.503
|-
|align=right|135||{{flag|Bhutan}}||align=center|3.491
|-
|align=right|136||{{flag|Bolivia}}||align=center|3.431
|-
|align=right|137||{{flag|Papua Nugini}}||align=center|3.269
|-
|align=right|138||{{flag|Kongo}}||align=center|3.243
|-
|align=right|139||{{flag|Vanuatu}}||align=center|3.145
|-
|align=right|140||{{flag|Honduras}}||align=center|2.925
|-
|-style="background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |{{flag|Suriah}}{{refn|Data tahun 2010.|group = n}}||align=center|2.807
|-
|align=right|141||{{flag|Pantai Gading}}||align=center|2.574
|-
| align="right" |142||{{flag|India}}|| align="center" |2.515
|-
|align=right|143||{{flag|Nikaragua}}||align=center|2.384
|-
|align=right|144||{{flag|Bangladesh}}||align=center|2.362
|-
|align=right|145||{{flag|Nigeria}}||align=center|2.356
|-
|align=right|146||{{flag|Kepulauan Solomon}}||align=center|2.334
|-
|align=right|147||{{flag|Laos}}||align=center|2.319
|-
|align=right|148||{{flag|Sao Tome and Principe}}||align=center|2.315
|-
|align=right|149||{{flag|Ghana}}||align=center|2.303
|-
|align=right|150||{{flag|Zimbabwe}}||align=center|2.301
|-
|align=right|151||{{flag|Kenya}}||align=center|2.252
|-
|-style="background:#eaecf0"
| data-sort-value="-1" | &nbsp; || data-sort-value="" |[[Afrika]]||align=center|2.182
|-
|align=right|152||{{flag|Mauritania}}||align=center|2.141
|-
|align=right|153||{{flag|Uzbekistan}}||align=center|2.071
|-
|align=right|154||{{flag|Venezuela}}||align=center|1.824
|-
|align=right|155||{{flag|Kamboja}}||align=center|1.752
|-
|align=right|156||{{flag|Kiribati}}||align=center|1.745
|-
|align=right|157||{{flag|Haiti}}||align=center|1.672
|-
|align=right|158||{{flag|Kamerun}}||align=center|1.638
|-
|align=right|159||{{flag|Senegal}}||align=center|1.609
|-
|align=right|160||{{flag|Pakistan}}||align=center|1.562
|-
|align=right|161||{{flag|Benin}}||align=center|1.432
|-
|align=right|162||{{flag|Timor-Leste}}||align=center|1.402
|-
|align=right|163||{{flag|Komoro}}||align=center|1.371
|-
|align=right|164||{{flag|Zambia}}||align=center|1.330
|-
|align=right|165||{{flag|Kirgistan}}||align=center|1.327
|-
|align=right|166||{{flag|Myanmar}}||align=center|1.285
|-
|align=right|167||{{flag|Tanzania}}||align=center|1.260
|-
|align=right|168||{{flag|Lesotho}}||align=center|1.223
|-
|align=right|169||{{flag|Nepal}}||align=center|1.203
|-
|align=right|170||{{flag|Uganda}}||align=center|1.060
|-
|align=right|171||{{flag|Ethiopia}}||align=center|1.040
|-
|align=right|172||{{flag|Togo}}||align=center|1.000
|-
|align=right|173||{{flag|Rwanda}}||align=center|910
|-
|align=right|174||{{flag|Mali}}||align=center|897
|-
|align=right|175||{{flag|Yaman}}||align=center|891
|-
|align=right|176||{{flag|Burkina Faso}}||align=center|886
|-
|align=right|177||{{flag|Guinea-Bissau}}||align=center|873
|-
|align=right|178||{{flag|Gambia}}||align=center|844
|-
|align=right|179||{{flag|Tajikistan}}||align=center|795
|-
|align=right|180||{{flag|Liberia}}||align=center|776
|-
|align=right|181||{{flag|Chad}}||align=center|743
|-
|align=right|182||{{flag|Eritrea}}||align=center|701
|-
|align=right|183||{{flag|Sudan}}||align=center|674
|-
|align=right|184||{{flag|Republik Demokratik Kongo}}||align=center|669
|-
|align=right|185||{{flag|Afghanistan}}||align=center|611
|-
|align=right|186||{{flag|Niger}}||align=center|599
|-
|align=right|187||{{flag|Mozambik}}||align=center|547
|-
|align=right|188||{{flag|Malawi}}||align=center|545
|-
|align=right|189||{{flag|Somalia}}||align=center|544
|-
|align=right|190||{{flag|Republik Afrika Tengah}}||align=center|527
|-
|align=right|191||{{flag|Sierra Leone}}||align=center|513
|-
|align=right|192||{{flag|Madagaskar}}||align=center|504
|-
|align=right|193||{{flag|Sudan Selatan}}||align=center|393
|-
|align=right|194||{{flag|Burundi}}||align=center|272
|}
|}
 
== Daftar menurut IMF tahun 2019, Bank Dunia tahun 2018, dan CIA tahun 2007 ==
Great care should be taken when using either set of figures to compare the wealth of two countries. Often people who wish to promote or denigrate a country will use the figure that suits their case best and ignore the other one, which may be substantially different, but a valid comparison of two economies should take both rankings into account, as well as utilising other economic data to put an economy in context. -->
 
Beberapa entitas ekonomi yang bukan merupakan negara (bumi, UE, dan beberapa [[wilayah dependensi]]) ditampilkan dalam daftar ini sebagaimana adanya di dalam daftar sumber. Entitas-entitas tersebut tidak diperingkatkan dan ditampilkan hanya untuk perbandingan.
 
* Kolom "IMF" merupakan data perkiraan tahun 2007 untuk anggota [[Dana Moneter Internasional]] (ditambah [[Hong Kong|Hong Kong, Cina]]) yang informasinya telah tersedia.
* Kolom "BD" merupakan data tahun 2007 dari [[Bank Dunia]].
* Kolom "CIA" merupakan data dari [[CIA World Factbook|The World Factbook]], dikeluarkan oleh [[Central Intelligence Agency]], per tanggal 2 Oktober 2008.
 
Data antar kolom (ataupun di dalam satu kolom itu sendiri) tidak komparatif karena dapat saja merujuk pada tahun yang berbeda. Seluruh data disajikan dalam [[Dolar Amerika Serikat|Dolar AS]]. Entitas yang belum sepenuhnya berdaulat atau wilayah khusus tertentu lainnya ditandai dengan cetak miring.
 
<small>''Catatan: Untuk mengurutkan berdasarkan abjad atau angka, klik dua kali pada kotak di samping judul kolom yang ingin dijadikan dasar pengurutan.''</small>
{| class="sortable wikitable" style="text-align: right"
! Negara
! style="background: #ddd" | Peringkat
! style="background: #ddd" | [[Dana Moneter Internasional|IMF]]
! style="background: #ddd" | [[Dana Moneter Internasional|IMF]]<ref>Data refer to the year 2007. [http://imf.org/external/pubs/ft/weo/2008/02/weodata/weorept.aspx?pr.x=23&pr.y=15&sy=2007&ey=2007&scsm=1&ssd=1&sort=country&ds=.&br=1&c=512%2C446%2C914%2C666%2C612%2C668%2C614%2C672%2C311%2C946%2C213%2C137%2C911%2C962%2C193%2C674%2C122%2C676%2C912%2C548%2C313%2C556%2C419%2C678%2C513%2C181%2C316%2C682%2C913%2C684%2C124%2C273%2C339%2C921%2C638%2C948%2C514%2C943%2C218%2C686%2C963%2C688%2C616%2C518%2C223%2C728%2C516%2C558%2C918%2C138%2C748%2C196%2C618%2C278%2C522%2C692%2C622%2C694%2C156%2C142%2C624%2C449%2C626%2C564%2C628%2C283%2C228%2C853%2C924%2C288%2C233%2C293%2C632%2C566%2C636%2C964%2C634%2C182%2C238%2C453%2C662%2C968%2C960%2C922%2C423%2C714%2C935%2C862%2C128%2C716%2C611%2C456%2C321%2C722%2C243%2C942%2C248%2C718%2C469%2C724%2C253%2C576%2C642%2C936%2C643%2C961%2C939%2C813%2C644%2C199%2C819%2C184%2C172%2C524%2C132%2C361%2C646%2C362%2C648%2C364%2C915%2C732%2C134%2C366%2C652%2C734%2C174%2C144%2C328%2C146%2C258%2C463%2C656%2C528%2C654%2C923%2C336%2C738%2C263%2C578%2C268%2C537%2C532%2C742%2C944%2C866%2C176%2C369%2C534%2C744%2C536%2C186%2C429%2C925%2C178%2C746%2C436%2C926%2C136%2C466%2C343%2C112%2C158%2C111%2C439%2C298%2C916%2C927%2C664%2C846%2C826%2C299%2C542%2C582%2C443%2C474%2C917%2C754%2C544%2C698%2C941&s=NGDPDPC&grp=0&a= World Economic Outlook Database-October 2008], [[International Monetary Fund]]. Accessed on October 8, 2008.</ref>
(2019)<ref>Data merujuk pada tahun 2019. [https://www.imf.org/external/pubs/ft/weo/2019/02/weodata/weorept.aspx?pr.x=50&pr.y=11&sy=2019&ey=2019&scsm=1&ssd=1&sort=country&ds=.&br=1&c=512%2C668%2C914%2C672%2C612%2C946%2C614%2C137%2C311%2C546%2C213%2C674%2C911%2C676%2C314%2C548%2C193%2C556%2C122%2C678%2C912%2C181%2C313%2C867%2C419%2C682%2C513%2C684%2C316%2C273%2C913%2C868%2C124%2C921%2C339%2C948%2C638%2C943%2C514%2C686%2C218%2C688%2C963%2C518%2C616%2C728%2C223%2C836%2C516%2C558%2C918%2C138%2C748%2C196%2C618%2C278%2C624%2C692%2C522%2C694%2C622%2C962%2C156%2C142%2C626%2C449%2C628%2C564%2C228%2C565%2C924%2C283%2C233%2C853%2C632%2C288%2C636%2C293%2C634%2C566%2C238%2C964%2C662%2C182%2C960%2C359%2C423%2C453%2C935%2C968%2C128%2C922%2C611%2C714%2C321%2C862%2C243%2C135%2C248%2C716%2C469%2C456%2C253%2C722%2C642%2C942%2C643%2C718%2C939%2C724%2C734%2C576%2C644%2C936%2C819%2C961%2C172%2C813%2C132%2C726%2C646%2C199%2C648%2C733%2C915%2C184%2C134%2C524%2C652%2C361%2C174%2C362%2C328%2C364%2C258%2C732%2C656%2C366%2C654%2C144%2C336%2C146%2C263%2C463%2C268%2C528%2C532%2C923%2C944%2C738%2C176%2C578%2C534%2C537%2C536%2C742%2C429%2C866%2C433%2C369%2C178%2C744%2C436%2C186%2C136%2C925%2C343%2C869%2C158%2C746%2C439%2C926%2C916%2C466%2C664%2C112%2C826%2C111%2C542%2C298%2C967%2C927%2C443%2C846%2C917%2C299%2C544%2C582%2C941%2C474%2C446%2C754%2C666%2C698&s=NGDPDPC&grp=0&a= World Economic Outlook Database, Oktober 2019] {{Webarchive|url=https://web.archive.org/web/20210925221834/https://www.imf.org/external/pubs/ft/weo/2019/02/weodata/weorept.aspx?pr.x=50&pr.y=11&sy=2019&ey=2019&scsm=1&ssd=1&sort=country&ds=.&br=1&c=512,668,914,672,612,946,614,137,311,546,213,674,911,676,314,548,193,556,122,678,912,181,313,867,419,682,513,684,316,273,913,868,124,921,339,948,638,943,514,686,218,688,963,518,616,728,223,836,516,558,918,138,748,196,618,278,624,692,522,694,622,962,156,142,626,449,628,564,228,565,924,283,233,853,632,288,636,293,634,566,238,964,662,182,960,359,423,453,935,968,128,922,611,714,321,862,243,135,248,716,469,456,253,722,642,942,643,718,939,724,734,576,644,936,819,961,172,813,132,726,646,199,648,733,915,184,134,524,652,361,174,362,328,364,258,732,656,366,654,144,336,146,263,463,268,528,532,923,944,738,176,578,534,537,536,742,429,866,433,369,178,744,436,186,136,925,343,869,158,746,439,926,916,466,664,112,826,111,542,298,967,927,443,846,917,299,544,582,941,474,446,754,666,698&s=NGDPDPC&grp=0&a= |date=2021-09-25 }}, [[International Monetary Fund]]. Diakses pada 30 Mei 2020.</ref>
 
Dalam satuan [[Dolar Amerika Serikat|US$]]
! Peringkat
! [[Bank Dunia]]
! [[Bank Dunia|BD]]<ref>Data refer to the year 2007. [http://siteresources.worldbank.org/DATASTATISTICS/Resources/GDP.pdf Total GDP 2007] & [http://siteresources.worldbank.org/DATASTATISTICS/Resources/POP.pdf Population 2007], World Development Indicators database, [[World Bank]], September 10, 2008. Note: Per capita values were obtained by dividing the Total GDP data by the Population data.</ref>
(2018)<ref>Data merujuk pada tahun 2018. Data akun nasional Bank Dunia dan file data Akun Nasional OECD: [https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?name_desc=false GDP per capita (current US$)] {{Webarchive|url=https://web.archive.org/web/20200810032047/https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?name_desc=false |date=2020-08-10 }} Catatan: Nilai per kapita didapat dari membagi jumlah total PDB dengan jumlah total populasi.</ref>
 
Dalam satuan US$
! style="background: #ddd" | Peringkat
! style="background: #ddd" | [[CIA World Factbook|CIA]] (2007)<ref>Data refermerujuk topada the yeartahun 2007. [https://www.cia.gov/library/publications/the-world-factbook/fields/2195.html GDP (official exchange rate)] {{Webarchive|url=https://web.archive.org/web/20081004071135/https://www.cia.gov/library/publications/the-world-factbook/fields/2195.html|date=4 Oktober 2008}}, [[The World Factbook]], [[Central Intelligence Agency]]. GDPData dataPDB lastterakhir updateddiperbarui on Octoberpada 2, Oktober 2008; [http://www.census.gov/ipc/www/idb/tables.html Total MidyearPopulasi Population''Mid-year'' tahun 2007] {{Webarchive|url=https://web.archive.org/web/20131012224009/https://www.census.gov/ipc/www/idb/tables.html|date=2013-10-12}}, [[U.S. Census Bureau]], International Data Base, accesseddiakses on Octoberpada 4, Oktober 2008; European Union population obtainedPopulasi fromUni anEropa archiveddidapat versiondari ofversi [http://www.umsl.edu/services/govdocs/wofact2007/rankorder/2119rank.html The World Factbook] {{Webarchive|url=https://web.archive.org/web/20080919154105/http://www.umsl.edu/services/govdocs/wofact2007/rankorder/2119rank.html|date=2008-09-19}} yang diarsipkan, CIA, dated Maytanggal 10, Mei 2007. NoteCatatan: PerNilai capitaper valueskapita weredidapat obtaineddari bymembagi dividingjumlah thetotal GDPPDB (officialdengan exchange rate) data by thejumlah Populationtotal datapopulasi.</ref>
 
Dalam satuan US$
<!-- SORT FIXING CODE START -->
|- style="display: none;"
Baris 36 ⟶ 483:
<!-- SORT FIXING CODE END -->
|-
| align="left" | {{flagcountry|Afghanistan}} || 169177 || 350513 || —184 || {{N/A}}521 || 175 || 277
|-
| align="left" | {{flagcountry|South Africa}} || 6889 || 56.916100 || 6191 || 56.833374 || 73 || 5.843
|-
| align="left" | {{flagcountry|Central African Republic|name=Afrika Tengah, Republik}} || 162181 || 402447 || 153186 || 394476 || 166 || 392
|-
| align="left" | {{flagcountry|Albania}} || 9697 || 35.401372 || 87103 || 35.323269 || 102 || 2.950
|-
| align="left" | {{flagcountry|Algeria}} || 86112 || 3.903980 || 76115 || 34.996115 || 88 || 3.945
|-
| align="left" | {{flagcountry|United States}} || 127 || 4565.725111 || 10 || 4562.790795 || 12 || 45.959
|-
| align="left" | {{flagcountry|Angola}} || 90127 || 3.756037 || 84125 || 3.440432 || 78 || 5.003
|-
| align="left" | {{flagcountry|Antigua and Barbuda}} || 44 || 1318.079109 || 3650 || 1216.071727 || 47 || 13.054
|-
| align="left" | {{flagcountry|Saudi Arabia}} || 3938 || 1522.724865 || 3239 || 1523.775339 || 44 || 13.630
|-
| align="left" | {{flagcountry|Argentina}} || 66 || 69.609887 || 5662 || 611.641684 || 68 || 6.492
|-
| align="left" | {{flagcountry|Armenia}} || 104 || 24.659527 || 90111 || 34.058212 || 105 || 2.683
|-
| align="left" | {{flagcountry|Australia}} || 1510 || 4353.163825 || 1712 || 3957.098374 || 16 || 43.798
|-
| align="left" | {{flagcountry|Austria}} || 13 || 4450.852022 || 1115 || 4551.343462 || 14 || 45.599
|-
| align="left" | {{flagcountry|Azerbaijan}} || 94102 || 34.632689 || 83106 || 34.646721 || 91 || 3.857
|-
| align="left" | {{flagcountry|Bahamas, The}} || 3425 || 1933.736261 || —30 || {{N/A}} |32.218
| 33 || 21.547
|-
| align="left" | {{flagcountry|Bahrain}} || 3134 || 2225.771273 || —37 || {{N/A}} |24.051
| 29 || 27.746
|-
| align="left" | {{flagcountry|Bangladesh}} || 156143 || 4631.905 || 151150 || 4271.698 || 161 || 481
|-
| align="left" | {{flagcountry|Barbados}} || 45 || 1218.404069 || —46 || {{N/A}} |17.949
| 46 || 13.309
|-
| align="left" | {{flagcountry|Netherlands}} || 1011 || 4652.774367 || 914 || 4653.041024 || 11 || 46.389
|-
| align="left" | {{flagcountry|Belarus}} || 8084 || 46.656603 || 6993 || 46.615290 || 80 || 4.604
|-
| align="left" | {{flagcountry|Belgium}} || 1618 || 4245.618175 || 1319 || 4247.213519 || 17 || 43.648
|-
| align="left" | {{flagcountry|Belize}} || 84100 || 4.108925 || 72105 || 4.191885 || 83 || 4.324
|-
| align="left" | {{flagcountry|Benin}} || 146157 || 7091.216 || 145167 || 601902 || 150 || 656
|-
| align="left" | {{flagcountry|Bhutan}} || 116120 || 13.841423 || 112126 || 13.668243 || 116 || 1.943
|-
| align="left" | {{flagcountry|Bolivia}} || 123117 || 13.352670 || 117123 || 13.378549 || 125 || 1.446
|-
| align="left" | {{flagcountry|Bosnia and Herzegovina}} || 8992 || 35.809741 || 7497 || 46.014066 || 999 || 353.247
|-
| align="left" | {{flagcountry|Botswana}} || 3178 || 207.531859 || 3380 || 198.263259 || 34 || 20.780
|-
| align="left" | {{flagcountry|Brazil}} || 1172 || 368.938796 || 1176 || 368.859921 || 11 || 38.776
|-
| align="left" | {{flagcountry|United Kingdom}} || 1121 || 4641.099030 || 1222 || 4442.693944 || 13 || 45.626
|-
| align="left" | {{flagcountry|Brunei}} || 2531 || 3127.879871 || —31 || {{N/A}} |31.628
| 26 || 33.077
|-
| align="left" | {{flagcountry|Bulgaria}} || 7668 || 59.186518 || 6575 || 59.175273 || 75 || 5.409
|-
| align="left" | {{flagcountry|Burkina Faso}} || 155172 || 492717 || 150177 || 458715 || 162 || 472
|-
| align="left" | {{flagcountry|Burundi}} || 179185 || 125309 || 170190 || 115272 || 184 || 119
|-
| align="left" | {{flagcountry|Czech Republic}} || 36 || 1623.956213 || 3041 || 1623.271079 || 39 || 17.138
|-
| align="left" | {{flagcountry|Chad}} || 143165 || 734861 || 142175 || 658728 || 148 || 718
|-
| align="left" | {{flagcountry|Chile}} || 53 || 915.884399 || 4255 || 915.877923 || 53 || 10.047
|-
| align="left" | {{flagcountry|China, People's Republic of}} || 10765 || 210.483098 || 9972 || 29.485771 || 109 || 2.459
|-
| align="left" | {{flagcountry|Denmark}} || 79 || 5759.137795 || 511 || 5661.427350 || 7 || 57.040
|-
| align="left" | {{flagcountry|Djibouti}} || 127128 || 12.111936 || 126132 || 9963.083 || 120 || 1.694
|-
| align="left" | {{flagcountry|Dominica}} || 7875 || 48.685380 || 7183 || 47.493691 || 84 || 4.297
|-
| align="left" | {{flagcountry|Dominican Republic|name=Dominika, Republik}} || 7974 || 48.671629 || 8081 || 38.762051 || 89 || 3.886
|-
| align="left" | {{flagcountry|Ecuador}} || 9788 || 36.335249 || 8892 || 36.312345 || 100 || 3.212
|-
| align="left" | {{flagcountry|El Salvador}} || 101111 || 24.857008 || 92117 || 24.950058 || 103 || 2.932
|-
| align="left" | {{flagcountry|Eritrea}} || 172184 || 271342 || 165- || 248{{N/A}} || 179 || 246
|-
| align="left" | {{flagcountry|Estonia}} || 4135 || 1523.569523 || 3140 || 1523.856266 || 41 || 16.171
|-
| align="left" | {{flagcountry|Ethiopia}} || 174161 || 252953 || 166174 || 245772 || 180 || 243
|-
| align="left" | {{flagcountry|Fiji}} || 8886 || 36.824379 || 7394 || 46.097267 || 94 || 3.710
|-
| align="left" | {{flagcountry|Philippines}} || 119123 || 13.626294 || 113130 || 13.640103 || 124 || 1.530
|-
| align="left" | {{flagcountry|Finland}} || 914 || 4648.856868 || 816 || 4650.515152 || 10 || 46.769
|-
| align="left" | {{flagcountry|Gabon}} || 5977 || 8.085112 || 5082 || 87.011953 || 60 || 7.759
|-
| align="left" | {{flagcountry|Gambia, The}} || 160171 || 405755 || 155176 || 377716 || 167 || 387
|-
| align="left" | {{flagcountry|Georgia}} || 110107 || 24.340289 || 103107 || 24.315717 || 110 || 2.215
|-
| align="left" | {{flagcountry|Ghana}} || 148137 || 6902.223 || 143138 || 6502.202 || 151 || 648
|-
| align="left" | {{flagcountry|Grenada}} || 7159 || 511.708381 || 66 || 510.130641 || 67 || 6.555
|-
| align="left" | {{flagcountry|Guatemala}} || 105103 || 24.532616 || 98108 || 24.505549 || 106 || 2.647
|-
| align="left" | {{flagcountry|Guinea}} || 159160 || 417981 || 149169 || 487879 || 160 || 493
|-
| align="left" | {{flagcountry|Equatorial Guinea}} || 71 || 8.927 || 69 || 10.262 || 38 || 17.490
| align="left" | {{flagcountry|Equatorial Guinea}} || 51 || 10.436<ref>The IMF is using a 2007 population estimate based on a 2001 census whose validity has been called into question. A 2003 U.S. State Department report on Equatorial Guinea stated that "although the 2002 (sic) census estimated the population at 1,015,000, credible estimates put the number at closer to 500,000. The opposition claimed that the Government inflated the census in anticipation of the December presidential election. (...) Opposition leaders charged earlier in the year that census results showing a twofold population increase were flawed and that numbers were inflated to perpetuate election fraud." [http://www.state.gov/g/drl/rls/hrrpt/2002/18181.htm]</ref> || 29 || 19.533 || 38 || 17.490
|-
| align="left" | {{flagcountry|Guinea-Bissau}} || 176168 || 213786 || 167172 || 211788 || 181 || 233
|-
| align="left" | {{flagcountry|Guyana}} || 12298 || 15.411252 || 116104 || 14.413979 || 127 || 1.351
|-
| align="left" | {{flagcountry|Haiti}} || 147169 || 699784 || 144170 || 638868 || 153 || 624
|-
| align="left" | {{flagcountry|Honduras}} || 118132 || 12.635548 || 110137 || 12.732500 || 121 || 1.641
|-
| align="left" | ''{{flagcountry|Hong Kong}}'' ([[Daerah administratif khusus Tiongkok|SAR]]) || — || 2949.753334 || — || 2948.845676 || — || 29.611
|-
| align="left" | {{flagcountry|Hungary}} || 4347 || 1317.745463 || 3553 || 1316.741162 || 42 || 13.901
|-
| align="left" | {{flagcountry|India}} || 134139 || 9422.171 || 122146 || 12.042010 || 138 || 973
|-
| align="left" | {{flagcountry|Indonesia}} || 115109 || 14.925163 || 108118 || 13.918894 || 119 || 1.845
|-
| align="left" | {{flagcountry|Iraq}} || —93 || {{N/A}}5.738 || —99 || {{N/A}}5.834 || 111 || 2.186
|-
| align="left" | {{flagcountry|Iran}} || 8595 || 35.981506 || 79101 || 35.815628 (''2017'') || 81 || 4.497
|-
| align="left" | {{flagcountry|Ireland|name=Irlandia, Republik}} || 54 || 6077.209771 || 46 || 5878.399806 || 6 || 62.934
|-
| align="left" | {{flagcountry|Iceland}} || 46 || 6467.548037 || 37 || 6273.733191 || 5 || 66.240
|-
| align="left" | {{flagcountry|Israel}} || 2919 || 2342.579823 || 25 || 2241.563715 || 31 || 23.161
|-
| align="left" | {{flagcountry|Italy}} || 2026 || 3532.745946 || 1828 || 3534.494483 || 22 || 36.201
|-
| align="left" | {{flagcountry|Jamaica}} || 8396 || 45.195460 || 75102 || 45.012354 || 86 || 4.029
|-
| align="left" | {{flagcountry|Japan}} || 22 || 3440.296846 || 2027 || 3439.254290 || 25 || 34.402
|-
| align="left" | {{flagcountry|Germany}} || 1916 || 4046.400563 || 1618 || 4047.079603 || 20 || 40.315
|-
| align="left" | {{flagcountry|Cambodia}} || 152146 || 6061.620 || 146156 || 5971.510 || 157 || 615
|-
| align="left" | {{flagcountry|Cameroon}} || 128148 || 1.097514 || 121153 || 1.114534 || 131 || 1.143
|-
| align="left" | {{flagcountry|Canada}} || 1417 || 4346.674212 || 1520 || 4046.222223 || 18 || 43.478
|-
| align="left" | {{flagcountry|Kazakhstan}} || 6569 || 69.748139 || 5571 || 69.708813 || 63 || 6.791
|-
| align="left" | {{flagcountry|Kenya}} || 141140 || 7801.997 || 137149 || 7861.711 || 145 || 794
|-
| align="left" | {{flagcountry|Kyrgyzstan}} || 145155 || 7131.292 || 141161 || 6691.281 || 149 || 709
|-
| align="left" | {{flagcountry|Kiribati}} || 149147 || 6861.574 || 132151 || 8531.625 || 155 || 621
|-
| align="left" | {{flagcountry|Colombia}} || 8285 || 46.264508 || 8190 || 36.729668 || 90 || 3.867
|-
| align="left" | {{flagcountry|Comoros}} || 144152 || 7291.349 || 139158 || 717 || 1541.415 || 621
|-
| align="left" | {{flagcountry|Congo, Democratic Republic of the|name=Kongo, Republik Demokratik}} || 178 || 171500 || 169181 || 144562 || 183 || 157
|-
| align="left" | {{flagcountry|Congo, Republic of the|name=Kongo, Republik}} || 112134 || 2.159534 || 105139 || 2.030148 || 114 || 2.015
|-
| align="left" | {{flagcountry|South Korea}} || 3327 || 2031.015430 || 2832 || 1931.983380 || 35 || 19.836
|-
| align="left" | {{flagcountry|North Korea}} || —__ || {{N/A}} || —
|__
| {{N/A}} || 132 |
| 1.114 ||
|-
| align="left" | {{flagcountry|Costa Rica}} || 7058 || 512.904014 || 63 || 512.653027 || 69 || 6.342
|-
| align="left" | {{flagcountry|Croatia}} || 4755 || 1114.555949 || 3859 || 1114.554915 || 50 || 11.430
|-
| align="left" | {{flagcountry|Cuba}} || — || {{N/A}} |
| —78 || {{N/A}} |8.822
| 87 || 4.000
|-
| align="left" | {{flagcountry|Kuwait}} || 2330 || 3329.687266 || —29 || {{N/A}} |33.944
| 15 || 44.421
|-
| align="left" | {{flagcountry|Laos}} || 150131 || 6692.670 || 140136 || 6842.542 || 156 || 618
|-
| align="left" | {{flagcountry|Latvia}} || 4643 || 1118.908171 || 3747 || 1117.931854 || 49 || 12.098
|-
| align="left" | {{flagcountry|Lebanon}} || 67 || 69.569654 || 6079 || 58.858269 || 70 || 6.277
|-
| align="left" | {{flagcountry|Lesotho}} || 151153 || 6641.338 || 136160 || 7981.299 || 146 || 753
|-
| align="left" | {{flagcountry|Liberia}} || 177174 || 196703 || 168179 || 193677 || 182 || 228
|-
| align="left" | {{flagcountry|Libya}} || 4999 || 115.484019 || 4387 || 97.476241 || 54 || 9.452
|-
| align="left" | {{flagcountry|Liechtenstein}} || — ||{{N/A}}
| align="left" | {{flagcountry|Liechtenstein}} || — || {{N/A}} || — || {{N/A}} || 1 || 106.082<ref>The value from the original source has been changed, due to the CIA World Factbook reporting a GDP for Liechtenstein of $36.33 billion, resulting in a GDP per capita of $1,060,823, which is not in line with data from either the US State Department nor the government of Liechtenstein. A Liechtenstein government website called ''Landesverwaltung Liechtenstein'' reports that the [http://www.llv.li/pdf-llv-avw-statistik-volkswirtschaftliche_gesamtrechnung_2005 provisional GDP for 2005] was [[CHF]]4.5553 billion and the [http://www.llv.li/pdf-llv-avw-statistik-bevoelkerungsstatistik_30._juni_2007 mid-year population for 2005] was 34,734, giving a GDP per capita of CHF131,148. Using the average exchange rate of the Swiss franc to the US dollar in 2005, as [https://www.cia.gov/library/publications/the-world-factbook/geos/ls.html given by the CIA], this results in a GDP of US$3.658 billion and GDP per capita of US$105,323. The [[United States Department of State]] reports a Liechtenstein GDP for 2004 of CHF4.28 billion on its [http://www.state.gov/r/pa/ei/bgn/9403.htm country profile article] dated April 2008.</ref>
| 2 ||165.028 (''2016'')
| 1 || 106.082<ref>Nilai dari sumber asli telah dirubah, karena CIA World Factbook melaporkan PDB Lichtenstein sebesar US$36,33 miliar, membuat PDB per kapitanya menjadi sebesar US$1.060.823, yang sangat berbeda dengan data dari Departemen AS maupun pemerintah Lichtenstein. Sebuah ''website'' milik pemerintah Lichtenstein bernama ''Landesverwaltung Liechtenstein'' melaporkan bahwa [http://www.llv.li/pdf-llv-avw-statistik-volkswirtschaftliche_gesamtrechnung_2005 PDB provisional tahun 2005] {{Webarchive|url=https://web.archive.org/web/20081207012424/http://www.llv.li/pdf-llv-avw-statistik-volkswirtschaftliche_gesamtrechnung_2005|date=2008-12-07}} sebesar [[Franc Swiss|CHF]]4,5553 miliar dan [http://www.llv.li/pdf-llv-avw-statistik-bevoelkerungsstatistik_30._juni_2007 populasi ''mid-year'' tahun 2005]( {{Webarchive|url=https://web.archive.org/web/20081206154926/http://www.llv.li/pdf-llv-avw-statistik-bevoelkerungsstatistik_30._juni_2007|date=6 Desember 2008}}) adalah sebanyak 34.734 orang, membuat PDB per kapitanya menjadi CHF131.148.
Menggunakan pertukaran nilai rata-rata franc Swiss ke dolar AS pada 2005, seperti yang [https://www.cia.gov/library/publications/the-world-factbook/geos/ls.html dikeluarkan oleh CIA]( {{Webarchive|url=https://web.archive.org/web/20200501044245/https://www.cia.gov/library/publications/the-world-factbook/geos/ls.html|date=1 Mei 2020}}), menghasilkan PDB sebesar US$3,368 miliar dan PDB per kapitanya sebesar US$105.323. [[United States Department of State]] melaporkan bahwa PDB Liechtenstein tahun 2004 adalah sebesar CHF4,28 miliar pada [http://www.state.gov/r/pa/ei/bgn/9403.htm artikel profil negara] {{Webarchive|url=https://web.archive.org/web/20080513224455/http://www.state.gov/r/pa/ei/bgn/9403.htm|date=2008-05-13}} tertanggal April 2008.</ref>
|-
| align="left" | {{flagcountry|Lithuania}} || 4841 || 1119.515266 || 3945 || 1119.353071 || 52 || 10.726
|-
| align="left" | {{flagcountry|Luxembourg}} || 1 || 103113.125196 || 13 || 99116.879597 || 2 || 104.452
|-
| align="left" | ''{{flagcountryFlagcountry|Madagascarmacau}}'' ||([[Daerah 164administratif || 392khusus Tiongkok|| 156 || 372 || 168 || 376SAR]])
|__
|81.151
|__
|87.208
|__
|{{N/A}}
|-
| align="left" | {{flagcountry|Macedonia, Republic ofMadagascar}} || 91180 || 3.751463 || 82183 || 3.726527 || 95168 || 3.647376
|-
| align="left" | {{flagcountry|MaldivesMacedonia, Republic of}} || 9890 || 36.067096 || 8596 || 36.439084 || 10495 || 23.874647
|-
| align="left" | {{flagcountry|MalawiMaldives}} || 17354 || 26615.562 || 16468 || 25510.331 || 178104 || 2602.874
|-
| align="left" | {{flagcountry|MalaysiaMalawi}} || 63183 || 6.956370 || 54188 || 6.807389 || 61178 || 7.509260
|-
| align="left" | {{flagcountry|MaliMalaysia}} || 15462 || 53111.136 || 14763 || 55611.373 || 15861 || 5627.509
|-
| align="left" | {{flagcountry|MaltaMali}} || 35163 || 18.215924 || —168 || {{N/A}}900 || 37158 || 18.461562
|-
| align="left" | {{flagcountry|MoroccoMalta}} || 10828 || 230.422650 || 10134 || 230.374 |098
| 11237 || 218.171461
|-
| align="left" | {{flagcountry|Marshall Islands|name=Marshall, KepulauanMorocco}} || —121 || {{N/A}}3.345 || 100128 || 23.433222 || —112 || {{N/A}}2.171
|-
| align="left" | {{flagcountry|Mauritania}}Marshall Islands||name=Marshall, 132Kepulauan}} || 952114 || 133 || 847 || 142 || 8433.924
| 119 || 3.788 || — ||{{N/A}}
|-
| align="left" | {{flagcountry|MauritiusMauritania}} || 73150 || 51.496392 || 67162 || 51.038189 || 74142 || 5.506843
|-
| align="left" | {{flagcountry|MexicoMauritius}} || 5460 || 911.717360 || 4765 || 811.486239 || 5974 || 85.219506
|-
| align="left" | {{flagcountry|EgyptMexico}} || 11764 || 110.739118 || 11173 || 19.697673 || 12359 || 18.592219
|-
| align="left" | {{flagcountry|Micronesia|name=Mikronesia, FederasiEgypt}} || —126 || {{N/A}}3.046 || 102135 || 2.315549 || —123 || {{N/A}}1.592
|-
| align="left" | {{flagcountry|MoldovaMicronesia|name=Mikronesia, Federasi}} || 124116 || 13.298 || 119 || 1.159 || 136 || 976717
| 122 || 3.568 || — ||{{N/A}}
|-
| align="left" | {{flagcountry|MongoliaMoldova}} || 121122 || 13.489300 || 115127 || 13.491227 || 128136 || 1.323976
|-
| align="left" | {{flagcountry|MontenegroMongolia}} || —110 || {{N/A}}4.132 || 58114 || 54.928122 || 82128 || 41.343323
|-
| align="left" | {{flagcountry|MozambiqueMontenegro}} || 16373 || 397 |8.703
| 15977 || 3638.844 || 17082 || 3624.343
|-
| align="left" | {{flagcountry|BurmaMozambique}} || 175179 || 234484 || —185 || {{N/A}}499 || 174170 || 286362
|-
| align="left" | {{flagcountry|NamibiaBurma}} || 93156 || 31.671244 || 89159 || 31.250 |326
| 96174 || 3.577286
|-
| align="left" | {{flagcountry|NepalNamibia}} || 16791 || 3775.842 || 15898 || 3635.932 || 17296 || 3333.577
|-
| align="left" | {{flagcountryFlagcountry|Nigernauru}} || 170 || 313 || 162 || 294 || 173 || 324
|76
|8.270
|70
|9.889
|__
|{{N/A}}
|-
| align="left" | {{flagcountry|NigeriaNepal}} || 126159 || 1.161047 || 120164 || 1.120034 || 130172 || 1.164333
|-
| align="left" | {{flagcountry|NicaraguaNiger}} || 133182 || 946405 || 124187 || 1.013414 || 134173 || 1.008324
|-
| align="left" | {{flagcountry|NorwayNigeria}} || 2138 || 832.485222 || 2145 || 812.111028 || 3130 || 841.595164
|-
| align="left" | {{flagcountry|OmanNicaragua}} || 40142 || 151.714919 || —144 || {{N/A}}2.029 || 48134 || 121.492008
|-
| align="left" | {{flagcountry|PakistanNorway}} || 1383 || 90977.975 || 1315 || 88481.697 || 1413 || 84984.595
|-
| align="left" | {{flagcountry|PalauOman}} || —46 || {{N/A}}17.791 || 4952 || 816.200 |415
| —48 || {{N/A}}12.492
|-
| align="left" | ''{{flagcountry|West Bank and GazaPakistan}}'' || —151 || {{N/A}}1.388 || —157 || 1.036482 || —141 || {{N/A}}849
|-
| align="left" | {{flagcountry|PanamaPalau}} || 6950 || 516.905 |736
| 5956 || 515.908859 || 71— || 6.058{{N/A}}
|-
| align="left" | ''{{flagcountry|CôteWest d'IvoireBank and Gaza}} ''|| 129— || 1.057 || 123 || 1.016 || 135 || 993{{N/A}}
| — || 3.199 || — ||{{N/A}}
|-
| align="left" | {{flagcountry|Papua New GuineaPanama}} || 13052 || 99116.245 || 12757 || 99015.575 || 13371 || 16.034058
|-
| align="left" | {{flagcountry|ParaguayCôte d'Ivoire}} || 114145 || 1.982691 || 107148 || 1.961716 || 122135 || 1.630993
|-
| align="left" | {{flagcountry|FrancePapua New Guinea}} || 18129 || 422.034742 || 14133 || 412.523730 || 21133 || 401.200034
|-
| align="left" | {{flagcountry|PeruParaguay}} || 8794 || 35.826692 || 77100 || 35.910822 || 92122 || 31.787630
|-
| align="left" | {{flagcountry|PolandFrance}} || 5020 || 1141.072760 || 4026 || 1141.043464 || 5121 || 1040.912200
|-
| align="left" | {{flagcountry|PortugalPeru}} || 3283 || 217.082046 || 2789 || 206.762941 || 3492 || 203.981787
|-
| align="left" | {{flagcountry|QatarPoland}} || 356 || 7814.754901 || —58 || {{N/A}}15.421 || 451 || 8310.152912
|-
| align="left" | {{flagcountry|RomaniaPortugal}} || 6137 || 723.697030 || 5138 || 723.703408 || 6234 || 720.452981
|-
| align="left" | {{flagcountryFlagcountry|RussiaPuerto Rico}} || 56 || 9.075 || 44 || 9.115 || 56 || 14.800
|__
|31.538
|__
|31.651
|__
|{{N/A}}
|-
| align="left" | {{flagcountry|RwandaQatar}} || 1685 || 35569.687 || 1618 || 341 |68.794
| 1714 || 33583.152
|-
| align="left" | {{flagcountry|Saint Kitts and NevisRomania}} || 5257 || 1012.155482 || 4160 || 1012.755301 || 4562 || 137.323452
|-
| align="left" | {{flagcountry|Saint LuciaRussia}} || 7261 || 511.700162 || 6264 || 511.702289 || 7256 || 614.030800
|-
| align="left" | {{flagcountry|Saint Vincent and the GrenadinesRwanda}} || 75167 || 5.199824 || 70173 || 4.608773 || 79171 || 4.731335
|-
| align="left" | {{flagcountry|SamoaSaint Kitts and Nevis}} || 10642 || 218.518245 || 9644 || 219.578275 || 11845 || 113.853323
|-
| align="left" | {{flagcountry|SãoSaint Tomé and PríncipeLucia}} || 13663 || 92311.075 || 12967 || 91810.566 || 14772 || 7216.030
|-
| align="left" | {{flagcountry|NewSaint ZealandVincent and the Grenadines}} || 2681 || 307.390750 || 2384 || 307.599361 || 2779 || 304.999731
|-
| align="left" | {{flagcountry|SenegalSamoa}} || 137105 || 9154.500 || 130112 || 8984.183 || 140118 || 8881.853
|-
| align="left" | {{flagcountry|SerbiaSão Tomé and Príncipe}} || 74141 || 51.387933 || 64147 || 52.630001 || 85147 || 4.106721
|-
| align="left" | {{flagcountry|SeychellesNew Zealand}} || 5723 || 840.600634 || 4624 || 841.565945 || 5827 || 830.670999
|-
| align="left" | {{flagcountry|Sierra LeoneSenegal}} || 171149 || 2901.427 || 163155 || 2861.522 || 176140 || 270888
|-
| align="left" | {{flagcountry|SingaporeSerbia}} || 2182 || 357.163397 || 1986 || 357.160247 || 2485 || 354.427106
|-
| align="left" | {{flagcountry|CyprusSeychelles}} || 2848 || 2717.047052 || 2451 || 2716.036434 || 3058 || 278.015670
|-
| align="left" | {{flagcountry|SloveniaSierra Leone}} || 30176 || 22.933546 || 26182 || 22.523534 || 32176 || 22.934270
|-
| align="left" | {{flagcountry|SlovakiaSingapore}} || 428 || 1363.857987 || 349 || 1364.887582 || 4324 || 1335.766427
|-
| align="left" | {{flagcountry|Solomon Islands|name=Solomon, KepulauanCyprus}} || 14232 || 74127.719 || 13835 || 74528.690 || 15230 || 63127.015
|-
| align="left" | {{flagcountry|SomaliaSlovenia}} || —33 || {{N/A}}26.170 || —36 || {{N/A}}26.124 || 17732 || 27022.934
|-
| align="left" | {{flagcountry|SpainSlowakia}} || 2440 || 3219.090547 || 2243 || 3119.846443 || 2343 || 3513.576766
|-
| align="left" | {{flagcountry|SriSolomon LankaIslands|name=Solomon, Kepulauan}} || 120136 || 12.623246 || 114141 || 12.622138 || 126152 || 1.434631
|-
| align="left" | {{flagcountry|SudanSomalia}} || 125— || 1.244 || 118 || 1.235 || 129 || 1.172{{N/A}}
| 189 ||315
| 177 || 270
|-
| align="left" | {{flagcountry|SyriaSpain}} || 11329 || 229.008961 || 10933 || 130.914371 || 11523 || 135.955576
|-
| align="left" | {{flagcountry|SurinameSri Lanka}} || 81113 || 43.599946 || 68116 || 4.893103 || 77126 || 51.106434
|-
| align="left" | {{flagcountry|SwazilandSudan}} || 102173 || 2.838714 || 97165 || 2.569977 || 108129 || 21.591172
|-
| align="left" | {{flagcountry|SwedenSyria}} || 8__ || 49.603{{N/A}} || 7143 || 48.584 422|| 9115 || 501.415955
|-
| align="left" | {{flagcountry|SwitzerlandSuriname}} || 687 || 586.513310 || 695 || 556.035234 || 877 || 565.111106
|-
| align="left" | {{flagcountry|China, Republic of|name=Taiwan (Republik Cina)Swaziland}} || 37108 || 164.697176 || —113 || {{N/A}}4.146 || 40108 || 162.768591
|-
| align="left" | {{flagcountry|TajikistanSweden}} || 15312 || 57851.241 || 14813 || 55154.608 || 1599 || 52550.415
|-
| align="left" | {{flagcountry|Cape VerdeSwitzerland}} || 1002 || 283.925716 || 944 || 282.706797 || 988 || 356.365111
|-
| align="left" | {{flagcountry|Tanzania}} ||China, 158Republic of||name=Taiwan 428(Republik Tiongkok)}}|| 152__ || 40024.827 || 165— || 411{{N/A}}
| 40 || 16.768
|-
| align="left" | {{flagcountry|ThailandTajikistan}} || 92164 || 3.732877 || 78171 || 3.851827 || 93159 || 3.776525
|-
| align="left" | {{flagcountry|Timor-LesteCape Verde}} || 157118 || 4403.598 || 157121 || 3713.635 || 16498 || 4233.365
|-
| align="left" | {{flagcountry|TogoTanzania}} || 165158 || 3871.104 || 154163 || 3791.061 || 163165 || 438411
|-
| align="left" | {{flagcountry|TongaThailand}} || 10980 || 27.397791 || 10485 || 27.287274 || 11793 || 13.873776
|-
| align="left" | {{flagcountry|Trinidad and TobagoTimor-Leste}} || 38135 || 162.042262 || 33142 || 142.990036 || 36164 || 19.591423
|-
| align="left" | {{flagcountry|TunisiaTogo}} || 95175 || 3.424671 || 86178 || 3.417679 || 97163 || 3.405438
|-
| align="left" | {{flagcountry|TurkeyTonga}} || 55101 || 94.569862 || 45109 || 84.893364 || 55117 || 91.323873
|-
| align="left" | {{flagcountry|TurkmenistanTrinidad and Tobago}} || 7751 || 516.052365 || 9549 || 217.606130 || 7636 || 519.280591
|-
| align="left" | {{flagcountry|UgandaTunisia}} || 166124 || 3813.287 || 160124 || 3633.448 || 16997 || 3713.405
|-
| align="left" | {{flagcountry|UkraineTurkey}} || 9970 || 38.066957 || 9174 || 39.029370 || 10155 || 39.035323
|-
| align="left" | {{flagcountry|United Arab EmiratesTurkmenistan}} || 1779 || 427.501816 || —88 || {{N/A}}6.967 || 1976 || 435.339280
|-
| align="left" | ''{{flagcountry|European UnionUganda}}'' || —170 || {{N/A}}770 || —180 || {{N/A}}643 || —169 || 33.889371
|-
| align="left" | {{flagcountry|UruguayUkraine}} || 62119 || 73.268592 || 52131 || 63.956095 || 66101 || 63.632035
|-
| align="left" | {{flagcountry|UzbekistanUnited Arab Emirates}} || 13924 || 83037.749 || 13521 || 830 || 143 || 82443.005
| 19 || 43.339
|-
| align="left" | {{flagcountry|VanuatuUruguay}} || 11149 || 217.160029 || 10648 || 217.000278 || 11366 || 26.143632
|-
| align="left" | {{flagcountry|VenezuelaUzbekistan}} || 58144 || 81.282831 || 48154 || 81.303532 || 57143 || 9.084824
|-
| align="left" | {{flagcountry|VietnamVanuatu}} || 140125 || 8293.260 || 134129 || 8363.124 || 144113 || 8212.143
|-
| align="left" | {{flagcountry|YemenVenezuela}} || 131133 || 9792.547 || 12554 || 116.006055 ''(2014)''|| 13757 || 9749.084
|-
| align="left" | {{flagcountry|JordanVietnam}} || 103130 || 2.766740 || 93134 || 2.768567 || 107144 || 2.645821
|-
| align="left" | {{flagcountry|GreeceYemen}} || 27162 || 28.152943 || 21166 || 32.166944 || 28137 || 29.385974
|-
| align="left" | {{flagcountry|ZambiaJordan}} || 135106 || 9394.386 || 128110 || 9534.242 || 139107 || 9722.645
|-
| align="left" | {{flagcountry|ZimbabweGreece}} || 16139 || 40328.152 || —42 || {{N/A}}20.324 || 18528 || 56<ref>[[Hyperinflation]] and the plunging value of the [[Zimbabwean dollar]] makes Zimbabwe's GDP at the official exchange rate a highly inaccurate statistic29. (The World Factbook, CIA)</ref>385
|-
| align="left" | ''{{flagcountry|WorldZambia}}'' || —152 || {{N/A}}1.540 || —152 || 81.219540 || —139 || 8.241<ref>[[Gross world product]]. (The World Factbook, CIA)</ref>972
|}
 
<!--== Perkembangan PDB/kapita Indonesia dalam miliar [[dolar AS]] ==
{| class="wikitable"
! 2001 !! 2002 !! 2003 !! 2004 !! 2005 !! 2006 !! 2007(*) !! 2008(*)
|-
| 771align="left" |{{flagcountry| 933 Zimbabwe}}|| 1100140 || 11812.147 || 1303140 || 1644 || 1868 || 20532.147
| 185 || 56<ref>[[Hiperinflasi]] dan penurunan nilai dari [[dolar Zimbabwe]] membuat PDB Zimbabwe menjadi sangat tidak akurat. (The World Factbook, CIA)</ref>
|-
| align="left" |'''{{Flagcountry|Uni Eropa}}'''
|__
|{{N/A}}
|__
|35.616
|__
|{{N/A}}
|-
| align="left" |'''{{Flagcountry|Perbara}}'''
|__
|4.755
|__
|{{N/A}}
|__
|{{N/A}}
|-
| align="left" |'''{{Flagcountry|Dunia}}'''
|__
|11.355
|__
|11.313
|__
|{{N/A}}
|}
(*) Sumber : CEIC, Perkiraan Mandiri Sekuritas
-->
== Lihat pula ==
* [[Daftar negara menurut PDB (PPP) per kapita]]
* [[Daftar negara menurut PDB (nominal)]]
* [[Daftar negara menurut PDB (PPP)]]
 
== Catatan dan referensi ==
<references group="n"/>
{{reflist|2}}
 
== Referensi ==
[[Kategori:Daftar negara|PDB (nominal) per kapita]]
{{reflist}}
 
== Lihat pula ==
* [[Daftar negara menurut PDB (nominal)]]
* [[Daftar negara menurut PDB (KKB)]]
* [[Daftar negara menurut PDB (KKB) per kapita]]
* [[Daftar provinsi di Indonesia menurut PDRB]]
* [[Daftar provinsi di Indonesia menurut PDRB per kapita]]
 
[[afKategori:LysDaftar vannegara landemenurut volgens BBPstatistik|PDB (nominaalnominal) per capitakapita]]
[[cs:Seznam států světa podle HDP na obyvatele]]
[[de:Liste der Länder nach Bruttoinlandsprodukt pro Kopf]]
[[el:Κατάλογος χωρών κατά κεφαλή ΑΕΠ]]
[[en:List of countries by GDP (nominal) per capita]]
[[eo:Listo de landoj laŭ MEP po kapo]]
[[es:Anexo:Países por PIB (nominal) per cápita]]
[[fr:Liste des pays par PIB (nominal) par habitant]]
[[gl:Lista de países por PIB nominal per cápita]]
[[is:Lönd eftir landsframleiðslu á mann (nafnvirði)]]
[[it:Lista di stati per PIL (nominale) procapite]]
[[lt:Sąrašas:Šalys pagal BVP gyventojui]]
[[nds:List vun de Länner na dat Bruttobinnenlandprodukt pro Kopp]]
[[nl:Lijst van landen naar BBP per capita]]
[[pt:Lista de países por PIB nominal per capita]]
[[ro:Listă de ţări în funcţie de PIB pe cap de locuitor]]
[[te:దేశాల జాబితా – తలసరి నామినల్ జి.డి.పి. క్రమంలో]]
[[tr:Ülkelerin kişi başına GSYİH’ya (nominal) göre sıralanışı]]
[[vi:Danh sách quốc gia theo GDP bình quân đầu người]]
[[zh:各国人均国内生产总值列表 (国际汇率)]]
Diperoleh dari "https://wiki-indonesia.club/wiki/Daftar_negara_menurut_PDB_(nominal)_per_kapita"