60:
19:
71:
136:
Methods and accuracy in the reporting of population and economic activity vary widely, hence these figures should be seen as estimates rather than facts. Some cities do not include migrant workers in the population count, even though the output they generate are counted in the total GDP, resulting in
6626:
6691:
5891:
4193:
The GDP data of prefecture-level divisions in Inner
Mongolia are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level divisions, see
6241:
6236:
3948:
The GDP data of prefecture-level divisions in
Xinjiang are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level divisions, see
5264:
The GDP data of prefecture-level divisions in
Sichuan are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level divisions, see
4484:
The GDP data of prefecture-level divisions in
Qinghai are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level divisions, see
5201:
The GDP data of prefecture-level divisions in Gansu are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level divisions, see
4713:
The GDP data of prefecture-level divisions in Hunan are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level divisions, see
4555:
The GDP data of prefecture-level divisions in Hubei are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level divisions, see
4971:
The GDP data of prefecture-level cities in
Liaoning are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities. also
4910:
The GDP data of prefecture-level cities in
Liaoning are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities. also
5088:
The GDP data of prefecture-level cities in
Jiangxi are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities. also
6312:
5531:
The GDP data of prefecture-level cities in
Guangxi are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities, see
4776:
The GDP data of prefecture-level cities in
Shaanxi are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities, see
4047:
The GDP data of prefecture-level cities in
Jiangsu are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities, see
5023:
The GDP data of prefecture-level cities in Hebei are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities. also
4642:
The GDP data of prefecture-level cities in Fujian are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities, see
6533:
6211:
6201:
5835:
4843:
The GDP data of prefecture-level cities in Anhui are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of prefecture-level cities, see
6623:
6051:
6158:
6081:
4432:
The GDP data of prefecture-level cities in Zhejiang are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of relevant cities, see
4346:
The GDP data of prefecture-level cities in Shandong are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of relevant cities, see
6361:
86:
6226:
6071:
5939:
5884:
6356:
6046:
6575:
6265:
6148:
6036:
3728:
6307:
6558:
6031:
5959:
6629:
5369:
The GDP2020 data of Nyingchi are from the statistical communiqué on 2020 national economic and social development of Nyingchi published by Statistics Bureau of Nyingchi City, see
6191:
5830:
6501:
3773:
111:) is not a "city" in the strictest sense of the term, but instead an administrative unit comprising, typically, both an urban area (a city in the strict sense) and surrounding
5145:
The GDP data of prefecture-level divisions in Yunnan are from the Yunnan Monthly Statistics Report, December 2020 published by Yunnan Provincial Bureau of Statistics. also see
6676:
6153:
5804:
6486:
6466:
6351:
6275:
6123:
5929:
5896:
3738:
5473:
The GDP2020 data of Lhasa are from the statistical communiqué on 2020 national economic and social development of Lhasa published by Statistics Bureau of Lhasa City, see
6066:
5879:
6128:
6260:
6143:
5949:
3723:
6407:
6373:
6270:
6091:
3733:
738:
5954:
6563:
6553:
6061:
5982:
5825:
3758:
6617:
5872:
5901:
5842:
5795:
4117:
4080:
2924:
1604:
515:
350:
34:
6096:
6021:
5997:
5992:
4120:
are from the statistical communiqué on 2020 national economic and social development published by the statistical agencies of relevant cities. also see
6496:
6476:
6395:
6108:
5977:
5911:
5862:
126:, and other such sub-divisions. To distinguish a prefecture-level city from its actual urban area (city in the strict sense), the term "urban area" (
6434:
5944:
5934:
6686:
6329:
5919:
251:
218:
39:
6612:
6585:
6523:
6016:
119:
6548:
3778:
3748:
3856:
6414:
6297:
6282:
4272:
The GDP data of prefecture-level cities in Guangdong are from the official data released by Guangdong Provincial Bureau of Statistics, see
6528:
6402:
6383:
6368:
6597:
6441:
6231:
6186:
5924:
5817:
6461:
6456:
6346:
6341:
6168:
5867:
3793:
2190:
5636:
The GDP data of Shizuishan are from the statistical communiqué on 2020 national economic and social development of Shizuishan, see
6696:
6607:
6491:
6481:
6419:
6378:
6287:
6221:
5584:
The GDP data of Changchun are from the statistical communiqué on 2020 national economic and social development of Changchun, see
4156:
Communiqué of the Seventh National Population Census published by the statistical agencies of relevant prefecture-level divisions
6701:
6538:
6424:
6319:
6253:
6248:
5788:
5740:
The GDP data of Shuozhou are from the statistical communiqué on 2020 national economic and social development of Shuozhou, see
3783:
6649:
6641:
6513:
6471:
6451:
6390:
6302:
6206:
6115:
6103:
5852:
5688:
The GDP data of Guiyang are from the statistical communiqué on 2020 national economic and social development of Guiyang, see
5421:
The GDP data of Taiyuan are from the statistical communiqué on 2020 national economic and social development of Taiyuan, see
90:
5690:
5666:
5317:
The GDP data of Daqing are from the statistical communiqué on 2020 national economic and social development of Daqing, see
43:
that are roughly comparable in area and economic volume. The unit of measurement for the data listed is the local currency
6602:
6518:
6429:
6543:
6446:
6334:
6324:
6292:
5371:
5347:
5237:
3919:
6580:
5781:
5319:
5295:
4974:
4160:
3768:
5475:
59:
6681:
6568:
3828:"Statistical Communiqué of the People's Republic of China on the 2020 National Economic and Social Development"
3788:
4682:
4088:
3885:
3827:
3820:
Statistical Communiqué of the People's Republic of China on the 2020 National Economic and Social Development
6508:
5451:
4524:
3763:
3753:
3718:
2858:
2627:
5808:
5969:
5742:
3743:
94:
5614:
3823:, The average rate was 6.8974 RMB per USD dollar in 2020, appreciated by 0.02 percent over that of 2019
4944:
158:
Nominal GDP is based on the official annual average exchange rate at CNY 6.8974 per US dollar in 2020
48:
30:
149:
123:
4603:
4313:
6216:
6196:
6135:
5562:
5147:
5059:
4393:
4002:
6592:
4814:
4274:
2718:
98:
5534:
6654:
3713:
1068:
18:
4558:
5423:
4122:
3048:
5399:
4913:
4237:
47:. In order to facilitate international comparison, the local currency is converted into
5506:
3056:
2561:
2025:
1670:
1538:
1233:
1109:
383:
6670:
5773:
5120:
3576:
146:
List of top prefecture-level divisions by GDP per capita over ten thousand US dollars
2429:
115:
or less-urbanized areas usually many times the size of the central, built-up core.
5001:
4881:
2487:
4154:
The population data of prefecture-level divisions in Inner Mongolia are from the
5987:
3798:
3444:
1101:
4846:
4389:
Communiqué on Major Data of the Seventh National Population Census of Zhejiang
3246:
2124:
375:
5718:
5638:
5586:
5267:
5204:
5176:
5091:
5026:
4779:
4749:
4716:
4487:
4462:
4434:
4348:
4196:
3951:
3617:
3411:
3386:
3378:
3147:
2916:
2256:
2157:
2058:
1901:
1695:
1175:
804:
680:
672:
581:
540:
482:
210:
63:
4645:
3913:
The population data of prefecture-level divisions in Xinjiang are from the
3543:
70:
5610:
Communiqué of the Seventh National Population Census (No. 2) of Shizuishan
5231:
The population data of prefecture-level divisions in Sichuan are from the
4456:
The population data of prefecture-level divisions in Qinghai are from the
4050:
5558:
Communiqué of the Seventh National Population Census (No. 1) of Changchun
5289:
The population data of prefecture-level divisions in Daqing are from the
5114:
The population data of prefecture-level divisions in Yunnan are from the
4233:
Communiqué of the Seventh National Population Census (No. 2) of guangdong
4231:
The population data of prefecture-level cities in Guangdong are from the
3675:
3510:
3353:
3320:
3188:
3180:
2949:
2891:
2726:
2619:
2520:
2495:
2223:
2198:
2091:
2000:
1926:
1893:
1827:
1802:
1769:
1736:
1629:
1571:
1472:
1307:
1274:
1208:
1200:
1134:
1035:
977:
845:
837:
779:
705:
647:
639:
614:
606:
507:
474:
284:
78:
44:
5170:
The population data of prefecture-level divisions in Gansu are from the
4940:
Communiqué of the Seventh National Population Census (No. 2) of Liaoning
4938:
The population data of prefecture-level cities in Liaoning are from the
4676:
The population data of prefecture-level divisions in Hunan are from the
4518:
The population data of prefecture-level divisions in Hubei are from the
4387:
The population data of prefecture-level cities in zhejiang are from the
4309:
Communiqué of the Seventh National Population Census (No. 2) of Shandong
4307:
The population data of prefecture-level cities in shandong are from the
3915:
Communiqué of the Seventh National Population Census (No. 2) of Xinjiang
5662:
Communiqué of the Seventh National Population Census (No. 1) of Guiyang
5500:
The population data of prefecture-level cities in Guangxi are from the
5233:
Communiqué of the Seventh National Population Census (No. 2) of Sichuan
5055:
Communiqué of the Seventh National Population Census (No. 2) of Jiangxi
5053:
The population data of prefecture-level cities in Jiangxi are from the
4743:
The population data of prefecture-level cities in Shaanxi are from the
4458:
Communiqué of the Seventh National Population Census (No. 2) of Qinghai
3998:
Communiqué of the Seventh National Population Census (No. 2) of Jiangsu
3996:
The population data of prefecture-level cities in Jiangsu are from the
3650:
3609:
3584:
3551:
3518:
3477:
3452:
3345:
3287:
3279:
3254:
3213:
3114:
3081:
3015:
2990:
2982:
2957:
2817:
2784:
2751:
2685:
2652:
2594:
2363:
2330:
2322:
2297:
2289:
2264:
2132:
2099:
1934:
1596:
1563:
1431:
1398:
1332:
1241:
1076:
969:
878:
870:
812:
746:
713:
548:
449:
416:
408:
342:
317:
276:
74:
5291:
Communiqué of the Seventh National Population Census (No. 2) of Daqing
4599:
Communiqué of the Seventh National Population Census (No. 2) of Fujian
4597:
The population data of prefecture-level cities in Fujian are from the
130:
127:
108:
105:
102:
5172:
Communiqué of the Seventh National Population Census (No. 2) of Gansu
4997:
Communiqué of the Seventh National Population Census (No. 2) of Hebei
4995:
The population data of prefecture-level cities in Hebei are from the
4877:
Communiqué of the Seventh National Population Census (No. 2) of Henan
4875:
The population data of prefecture-level cities in Henan are from the
4810:
Communiqué of the Seventh National Population Census (No. 2) of Anhui
4808:
The population data of prefecture-level cities in Anhui are from the
4678:
Communiqué of the Seventh National Population Census (No. 2) of Hunan
4520:
Communiqué of the Seventh National Population Census (No. 2) of Hubei
4091:(Press release). National Bureau of Statistics of China. May 11, 2021
3888:(Press release). National Bureau of Statistics of China. May 11, 2021
3683:
3642:
3312:
3089:
2825:
2660:
2586:
2553:
2462:
2454:
2421:
2396:
2388:
2066:
1967:
1794:
1761:
1728:
1530:
1464:
1439:
1340:
1299:
1167:
1142:
1010:
1002:
944:
936:
771:
573:
441:
5768:
5343:
Communiqué on major data of the Seventh National Census of Nyingchi
5150:(Press release). Yunnan Provincial Bureau of Statistics. 2021-03-05
5502:
Communiqué on major data of the Seventh National Census of Guangxi
4745:
Communiqué on major data of the Seventh National Census of Shaanxi
4079:
The population data of Beijing, Shanghai, Tianjin and Chongqing 4
3485:
3419:
3221:
3155:
3122:
3023:
2850:
2792:
2759:
2693:
2528:
2355:
2231:
2165:
2033:
1868:
1860:
1835:
1703:
1662:
1637:
1505:
1406:
1373:
1365:
1266:
1043:
911:
903:
243:
112:
58:
22:
17:
5116:
Communiqué on major data of the Seventh National Census of Yunnan
5714:
Communiqué of the Seventh National Population Census of Shuozhou
5447:
Communiqué on major data of the Seventh National Census of Lhasa
2883:
1992:
1959:
1497:
309:
5777:
5395:
Communiqué of the Seventh National Population Census of Taiyuan
4089:"Communiqué of the Seventh National Population Census (No. 3)"
3886:"Communiqué of the Seventh National Population Census (No. 2)"
6692:
Prefecture-level divisions of the People's Republic of China
4085:
Communiqué of the Seventh National Population Census (No. 3)
3882:
Communiqué of the Seventh National Population Census (No. 2)
66:
has the second highest GDP per capita in China (US$ 53,606).
81:
has the third highest GDP per capita in China (US$ 26,223).
3729:
List of Chinese administrative divisions by GDP per capita
33:
by GDP per capita over ten thousand US dollars, including
3851:
The GDP2020 data of Hong Kong and Macau are from the IMF
4125:(Press release). National Bureau of Statistics of China
118:
Prefecture-level cities nearly always contain multiple
25:
has the highest GDP per capita in China (US$ 78,962).
3880:
The population data of Hong Kong and Macau are from
3774:
List of the largest administrative divisions by GRDP
6179:
6006:
5968:
5910:
5851:
5816:
3739:List of prefecture-level divisions of China by GDP
4268:
4266:
4264:
4262:
4260:
4258:
4256:
4227:
4225:
4223:
4221:
4219:
4217:
4215:
5608:The population data of Shizuishan are from the
4967:
4965:
4963:
4934:
4932:
4930:
4428:
4426:
4424:
4422:
4420:
4418:
4416:
4414:
4412:
4383:
4381:
4379:
4377:
4375:
4373:
4371:
4369:
4367:
4342:
4340:
4338:
4336:
4334:
4332:
4303:
4301:
4299:
4297:
4295:
4293:
3724:List of Chinese administrative divisions by GDP
5556:The population data of Changchun are from the
5527:
5525:
5496:
5494:
5260:
5258:
5256:
5227:
5225:
5223:
5084:
5082:
5080:
5078:
5049:
5047:
5045:
5043:
4772:
4770:
4768:
4739:
4737:
4735:
4043:
4041:
3992:
3990:
3734:List of Chinese prefecture-level cities by GDP
5789:
5712:The population data of Shuozhou are from the
5341:The population data of Nyingchi are from the
5141:
5139:
5110:
5108:
4638:
4636:
4634:
4632:
4630:
4628:
4626:
4624:
4622:
4593:
4591:
4589:
4587:
4585:
4583:
4581:
4579:
4577:
4039:
4037:
4035:
4033:
4031:
4029:
4027:
4025:
4023:
4021:
3988:
3986:
3984:
3982:
3980:
3978:
3976:
3974:
3972:
3970:
3830:(Press release). China NBS. February 28, 2021
3759:List of twin towns and sister cities in China
2911:
1591:
502:
337:
238:
205:
8:
5660:The population data of Guiyang are from the
5393:The population data of Taiyuan are from the
5197:
5195:
5166:
5164:
4906:
4904:
4902:
4900:
4871:
4869:
4867:
4865:
4839:
4837:
4835:
4833:
4804:
4802:
4800:
4798:
4709:
4707:
4705:
4703:
4701:
4672:
4670:
4668:
4666:
4664:
4551:
4549:
4547:
4545:
4543:
4514:
4512:
4510:
4508:
4506:
3859:(Press release). International Monetary Fund
6627:*Top country subdivisions by GDP per capita
3944:
3942:
3940:
3938:
3853:World Economic Outlook Database, April 2021
89:of China, there are three level of cities:
6677:Lists of administrative divisions of China
5796:
5782:
5774:
5445:The population data of Lhasa are from the
4189:
4187:
4185:
4183:
4181:
4179:
4150:
4148:
4146:
4144:
4142:
4140:
3909:
3907:
3905:
3903:
3043:
2185:
1096:
733:
144:
4075:
4073:
4071:
4069:
3876:
3874:
3857:"International Monetary Fund, April 2021"
3847:
3845:
6642:Lists of countries by financial rankings
4914:"zh:河南省各市2020年GDP成绩单出炉：郑州突破1.2万亿，洛阳位居第二"
156:
69:
3811:
5940:Latin American and Caribbean countries
4977:(Press release). baidu.com. 2021-01-16
4916:(Press release). om.qq.com. 2021-08-18
4123:"Home - Regional - annual by Province"
4112:
4110:
4108:
4106:
5456:. lasa-eveningnews.com.cn. 2021-06-08
5094:(Press release). sohu.com. 2021-04-10
5029:(Press release). sohu.com. 2021-04-04
3779:List of cities in China by population
3749:List of cities in China by population
29:The scope listed in the table is top
7:
5027:"zh:2020年河北省各市GDP，唐山全方位领先，石家庄人均排名第3"
4718:2020年湖南各市州GDP 长沙突破1.2万亿位居榜首 岳阳排名第二 榜
4279:. stats.guangdong.gov.cn. 2021-02-09
5092:"zh:2020年江西各市GDP排行榜：南昌总量最大 赣州增速最高"
35:direct-administered municipalities
14:
5769:PRC National Bureau of Statistics
3794:Administrative divisions of China
6630:*Top country metropolitan by GDP
6624:*Top country subdivisions by GDP
4647:2020年福建各市GDP排名，福州、泉州双双破万亿，厦门暂居第三
5619:. shizuishan.gov.cn. 2021-06-03
3784:List of renminbi exchange rates
6687:Economy of China-related lists
6650:List of international rankings
6043:Latin America & Caribbean
5892:Private consumption per capita
5567:. Changchun.gov.cn. 2021-06-02
5269:2020年四川省各市GDP排名情况出炉：绵阳突破3000亿元
5206:2020年甘肃省各市州GDP 兰州市一枝独秀 庆阳市排名第二
4489:2020年青海各市州GDP 西宁排名第一 黄南州名义增速最快
4436:2020年浙江各市GDP，绍兴破6000亿，舟山增速全省领先
4242:. guangdong.gov.cn. 2021-05-15
40:special administrative regions
1:
5747:. Shuozhou.gov.cn. 2021-05-03
4949:. Liaoning.gov.cn. 2021-05-30
4398:. zhejiang.gov.cn. 2021-05-13
4318:. shandong.gov.cn. 2021-05-21
5930:European Union member states
5695:. guiyang.gov.cn. 2021-04-16
5671:. Guiyang.gov.cn. 2021-05-31
5536:2020年广西各市GDP 南宁人均仅排第四 梧州突破千亿
5511:. Guangxi.gov.cn. 2021-05-13
5428:. taiyuan.gov.cn. 2021-03-25
5404:. taiyuan.gov.cn. 2021-06-01
5242:. sichuan.gov.cn. 2021-05-26
5064:. Jiangxi.gov.cn. 2021-05-26
4781:2020年陕西省各市区GDP 西安突破万亿 榆林排名第二
4007:. jiangsu.gov.cn. 2021-05-18
179:
162:
155:
137:an inflated GDP per capita.
5970:Gross national income (GNI)
5376:. Linzhi.gov.cn. 2021-05-11
5352:. linzhi.gov.cn. 2021-06-17
4608:. Fujian.gov.cn. 2021-05-20
3670:
3637:
3604:
3571:
3538:
3505:
3472:
3439:
3406:
3373:
3340:
3307:
3274:
3241:
3208:
3175:
3142:
3109:
3076:
3010:
2977:
2944:
2878:
2845:
2812:
2779:
2746:
2713:
2680:
2647:
2614:
2581:
2548:
2515:
2482:
2449:
2416:
2383:
2350:
2317:
2284:
2251:
2218:
2152:
2119:
2086:
2053:
2020:
1987:
1954:
1921:
1888:
1855:
1822:
1789:
1756:
1723:
1690:
1657:
1624:
1558:
1525:
1492:
1459:
1426:
1393:
1360:
1327:
1294:
1261:
1228:
1195:
1162:
1129:
1063:
1030:
997:
964:
931:
898:
865:
832:
799:
766:
700:
667:
634:
601:
568:
535:
469:
436:
403:
370:
304:
271:
101:. A prefecture-level city (
6718:
5480:. lhasa.gov.cn. 2021-04-12
5006:. Hebei.gov.cn. 2021-05-14
4886:. henan.gov.cn. 2021-05-21
4819:. anhui.gov.cn. 2021-05-18
4687:. Hunan.gov.cn. 2021-05-26
4529:. hubei.gov.cn. 2021-05-26
3682:
3679:
3674:
3649:
3646:
3641:
3616:
3613:
3608:
3583:
3580:
3575:
3550:
3547:
3542:
3517:
3514:
3509:
3484:
3481:
3476:
3451:
3448:
3443:
3418:
3415:
3410:
3385:
3382:
3377:
3352:
3349:
3344:
3319:
3316:
3311:
3286:
3283:
3278:
3253:
3250:
3245:
3220:
3217:
3212:
3187:
3184:
3179:
3154:
3151:
3146:
3121:
3118:
3113:
3088:
3085:
3080:
3055:
3052:
3047:
3022:
3019:
3014:
2989:
2986:
2981:
2956:
2953:
2948:
2923:
2920:
2915:
2890:
2887:
2882:
2857:
2854:
2849:
2824:
2821:
2816:
2791:
2788:
2783:
2758:
2755:
2750:
2725:
2722:
2717:
2692:
2689:
2684:
2659:
2656:
2651:
2626:
2623:
2618:
2593:
2590:
2585:
2560:
2557:
2552:
2527:
2524:
2519:
2494:
2491:
2486:
2461:
2458:
2453:
2428:
2425:
2420:
2395:
2392:
2387:
2362:
2359:
2354:
2329:
2326:
2321:
2296:
2293:
2288:
2263:
2260:
2255:
2230:
2227:
2222:
2197:
2194:
2189:
2164:
2161:
2156:
2131:
2128:
2123:
2098:
2095:
2090:
2065:
2062:
2057:
2032:
2029:
2024:
1999:
1996:
1991:
1966:
1963:
1958:
1933:
1930:
1925:
1900:
1897:
1892:
1867:
1864:
1859:
1834:
1831:
1826:
1801:
1798:
1793:
1768:
1765:
1760:
1735:
1732:
1727:
1702:
1699:
1694:
1669:
1666:
1661:
1636:
1633:
1628:
1603:
1600:
1595:
1570:
1567:
1562:
1537:
1534:
1529:
1504:
1501:
1496:
1471:
1468:
1463:
1438:
1435:
1430:
1405:
1402:
1397:
1372:
1369:
1364:
1339:
1336:
1331:
1306:
1303:
1298:
1273:
1270:
1265:
1240:
1237:
1232:
1207:
1204:
1199:
1174:
1171:
1166:
1141:
1138:
1133:
1108:
1105:
1100:
1075:
1072:
1067:
1042:
1039:
1034:
1009:
1006:
1001:
976:
973:
968:
943:
940:
935:
910:
907:
902:
877:
874:
869:
844:
841:
836:
811:
808:
803:
778:
775:
770:
745:
742:
737:
712:
709:
704:
679:
676:
671:
646:
643:
638:
613:
610:
605:
580:
577:
572:
547:
544:
539:
514:
511:
506:
481:
478:
473:
448:
445:
440:
415:
412:
407:
382:
379:
374:
349:
346:
341:
316:
313:
308:
283:
280:
275:
250:
247:
242:
217:
214:
209:
6637:
3769:List of capitals in China
172:
169:
166:
163:
6028:Commonwealth of Nations
5902:Ten largest historically
5743:
5719:
5691:
5667:
5639:
5615:
5587:
5563:
5535:
5507:
5476:
5452:
5424:
5400:
5372:
5348:
5320:
5296:
5268:
5238:
5205:
5177:
5121:
5060:
5002:
4945:
4882:
4847:
4815:
4780:
4750:
4717:
4683:
4646:
4604:
4559:
4525:
4488:
4463:
4435:
4394:
4349:
4314:
4275:
4238:
4197:
4161:
4051:
4003:
3952:
3921:新疆维吾尔自治区第七次全国人口普查公报（第二号）
3920:
167:Prefecture-level cities
87:administrative divisions
6697:Lists of cities in Asia
6136:Former Soviet Republics
5853:Purchasing power parity
5324:. baidu.com. 2021-04-02
5300:. baidu.com. 2021-06-01
5297:2020年大庆市第七次全国人口普查主要数据公报
4201:. Sohu.comn. 2021-06-07
4165:. baidu.com. 2021-05-20
4055:. Sohu.comn. 2021-03-16
3956:. Sohu.comn. 2021-04-23
3764:Sub-provincial division
3754:List of cities in China
3719:Historical GDP of China
95:prefecture-level cities
6702:Lists of cities by GDP
6092:nominal and per capita
5723:. sohu.com. 2021-06-04
5643:. sohu.com. 2021-05-25
5640:石嘴山市2020年国民经济和社会发展统计公报
5539:. sohu.com. 2021-04-15
5272:. sohu.com. 2021-02-02
5209:. sohu.com. 2021-04-21
5181:. sohu.com. 2021-05-24
4851:. sohu.com. 2021-04-08
4784:. sohu.com. 2021-04-20
4754:. sohu.com. 2021-05-21
4721:. sohu.com. 2021-04-13
4650:. sohu.com. 2021-04-09
4563:. sohu.com. 2021-04-11
4492:. sohu.com. 2021-07-10
4467:. sohu.com. 2021-06-16
4439:. sohu.com. 2021-04-06
4353:. sohu.com. 2021-02-04
82:
67:
26:
6180:Subnational divisions
5744:2020年朔州市国民经济和社会发展统计公报
5692:贵阳市2020年国民经济和社会发展统计公报
5588:长春市2020年国民经济和社会发展统计公报
5477:拉萨市2020年国民经济和社会发展统计公报
5425:2020年太原市国民经济和社会发展统计公报
5373:2020年林芝市国民经济和社会发展统计公报
5321:2020年大庆市国民经济和社会发展统计公报
3924:. qq.comn. 2021-06-14
3744:Prefecture-level city
73:
62:
49:United States dollars
21:
5616:石嘴山市第七次全国人口普查公报（第二号）
5591:. qq.com. 2021-06-21
5125:. gmw.cn. 2021-05-14
4975:"zh:辽宁省各市2020年GDP公布"
4848:2020年安徽省各市GDP，合肥一枝独秀
6120:Asia & Pacific
6007:Countries by region
5897:Per person employed
5668:贵阳市第七次全国人口普查公报（第一号）
5564:长春市第七次全国人口普查公报（第一号）
5239:四川省第七次全国人口普查公报（第二号）
5178:甘肃省第七次全国人口普查公报（第二号）
5148:"zh:2020年12月云南统计月报"
5061:江西省第七次全国人口普查公报（第二号）
5003:河北省第七次全国人口普查公报（第二号）
4946:辽宁省第七次全国人口普查公报（第二号）
4883:河南省第七次全国人口普查公报（第二号）
4816:安徽省第七次全国人口普查公报（第二号）
4684:湖南省第七次全国人口普查公报（第二号）
4605:福建省第七次全国人口普查公报（第二号）
4526:湖北省第七次全国人口普查公报（第二号）
4464:青海省第七次全国人口普查公报（第二号）
4315:山东省第七次全国人口普查公报（第二号）
4239:广东省第七次全国人口普查公报（第二号）
4198:2020年内蒙古自治区各市盟GDP排名
4004:江苏省第七次全国人口普查公报（第二号）
153:
150:2020 Chinese census
124:county-level cities
99:county-level cities
6396:nominal per capita
6159:nominal per capita
6097:PPP and per capita
6072:nominal per capita
5983:Nominal per capita
5945:Oceanian countries
5935:European countries
5880:Past and projected
5843:Sector composition
5831:Past and projected
5805:Lists of countries
5453:拉萨市第七次全国人口普查主要数据公报
5349:林芝市第七次全国人口普查主要数据公报
5122:云南省第七次全国人口普查主要数据公报
4751:陕西省第七次全国人口普查主要数据公报
4276:2020年4季度(广东)各市生产总值
4116:The GDP data of 4
2191:Changji Prefecture
145:
83:
68:
27:
6664:
6663:
5998:Disposable income
5993:Per capita growth
5960:Industrial growth
5920:African countries
5508:广西第七次全国人口普查主要数据公报
4162:内蒙古各盟市第七次人口普查数据出炉
3818:According to the
3704:
3703:
2719:Taizhou, Zhejiang
199:GDP (USD million)
196:GDP (CNY million)
85:According to the
6709:
6655:Lists by country
5955:1980–2010 growth
5798:
5791:
5784:
5775:
5756:
5755:
5753:
5752:
5738:
5732:
5731:
5729:
5728:
5710:
5704:
5703:
5701:
5700:
5686:
5680:
5679:
5677:
5676:
5658:
5652:
5651:
5649:
5648:
5634:
5628:
5627:
5625:
5624:
5606:
5600:
5599:
5597:
5596:
5582:
5576:
5575:
5573:
5572:
5554:
5548:
5547:
5545:
5544:
5529:
5520:
5519:
5517:
5516:
5498:
5489:
5488:
5486:
5485:
5471:
5465:
5464:
5462:
5461:
5443:
5437:
5436:
5434:
5433:
5419:
5413:
5412:
5410:
5409:
5391:
5385:
5384:
5382:
5381:
5367:
5361:
5360:
5358:
5357:
5339:
5333:
5332:
5330:
5329:
5315:
5309:
5308:
5306:
5305:
5287:
5281:
5280:
5278:
5277:
5262:
5251:
5250:
5248:
5247:
5229:
5218:
5217:
5215:
5214:
5199:
5190:
5189:
5187:
5186:
5168:
5159:
5158:
5156:
5155:
5143:
5134:
5133:
5131:
5130:
5112:
5103:
5102:
5100:
5099:
5086:
5073:
5072:
5070:
5069:
5051:
5038:
5037:
5035:
5034:
5021:
5015:
5014:
5012:
5011:
4993:
4987:
4986:
4984:
4982:
4969:
4958:
4957:
4955:
4954:
4936:
4925:
4924:
4922:
4921:
4908:
4895:
4894:
4892:
4891:
4873:
4860:
4859:
4857:
4856:
4841:
4828:
4827:
4825:
4824:
4806:
4793:
4792:
4790:
4789:
4774:
4763:
4762:
4760:
4759:
4741:
4730:
4729:
4727:
4726:
4711:
4696:
4695:
4693:
4692:
4674:
4659:
4658:
4656:
4655:
4640:
4617:
4616:
4614:
4613:
4595:
4572:
4571:
4569:
4568:
4560:2020年湖北省各市GDP排行榜
4553:
4538:
4537:
4535:
4534:
4516:
4501:
4500:
4498:
4497:
4482:
4476:
4475:
4473:
4472:
4454:
4448:
4447:
4445:
4444:
4430:
4407:
4406:
4404:
4403:
4395:浙江省第七次人口普查主要数据公报
4385:
4362:
4361:
4359:
4358:
4344:
4327:
4326:
4324:
4323:
4305:
4288:
4287:
4285:
4284:
4270:
4251:
4250:
4248:
4247:
4229:
4210:
4209:
4207:
4206:
4191:
4174:
4173:
4171:
4170:
4152:
4135:
4134:
4132:
4130:
4114:
4101:
4100:
4098:
4096:
4077:
4064:
4063:
4061:
4060:
4052:2020年江苏省各市GDP排名榜
4045:
4016:
4015:
4013:
4012:
3994:
3965:
3964:
3962:
3961:
3946:
3933:
3932:
3930:
3929:
3911:
3898:
3897:
3895:
3893:
3878:
3869:
3868:
3866:
3864:
3849:
3840:
3839:
3837:
3835:
3816:
3714:Economy of China
1069:Taizhou, Jiangsu
739:Haixi Prefecture
159:
154:
133:shìqū) is used.
42:
6717:
6716:
6712:
6711:
6710:
6708:
6707:
6706:
6682:Cities in China
6667:
6666:
6665:
6660:
6659:
6633:
6175:
6002:
5964:
5906:
5854:
5847:
5812:
5802:
5765:
5760:
5759:
5750:
5748:
5745:
5741:
5739:
5735:
5726:
5724:
5721:
5717:
5711:
5707:
5698:
5696:
5693:
5689:
5687:
5683:
5674:
5672:
5669:
5665:
5659:
5655:
5646:
5644:
5641:
5637:
5635:
5631:
5622:
5620:
5617:
5613:
5607:
5603:
5594:
5592:
5589:
5585:
5583:
5579:
5570:
5568:
5565:
5561:
5555:
5551:
5542:
5540:
5537:
5533:
5530:
5523:
5514:
5512:
5509:
5505:
5499:
5492:
5483:
5481:
5478:
5474:
5472:
5468:
5459:
5457:
5454:
5450:
5444:
5440:
5431:
5429:
5426:
5422:
5420:
5416:
5407:
5405:
5402:
5398:
5392:
5388:
5379:
5377:
5374:
5370:
5368:
5364:
5355:
5353:
5350:
5346:
5340:
5336:
5327:
5325:
5322:
5318:
5316:
5312:
5303:
5301:
5298:
5294:
5288:
5284:
5275:
5273:
5270:
5266:
5263:
5254:
5245:
5243:
5240:
5236:
5230:
5221:
5212:
5210:
5207:
5203:
5200:
5193:
5184:
5182:
5179:
5175:
5169:
5162:
5153:
5151:
5146:
5144:
5137:
5128:
5126:
5123:
5119:
5113:
5106:
5097:
5095:
5090:
5087:
5076:
5067:
5065:
5062:
5058:
5052:
5041:
5032:
5030:
5025:
5022:
5018:
5009:
5007:
5004:
5000:
4994:
4990:
4980:
4978:
4973:
4970:
4961:
4952:
4950:
4947:
4943:
4937:
4928:
4919:
4917:
4912:
4909:
4898:
4889:
4887:
4884:
4880:
4874:
4863:
4854:
4852:
4849:
4845:
4842:
4831:
4822:
4820:
4817:
4813:
4807:
4796:
4787:
4785:
4782:
4778:
4775:
4766:
4757:
4755:
4752:
4748:
4742:
4733:
4724:
4722:
4719:
4715:
4712:
4699:
4690:
4688:
4685:
4681:
4675:
4662:
4653:
4651:
4648:
4644:
4641:
4620:
4611:
4609:
4606:
4602:
4596:
4575:
4566:
4564:
4561:
4557:
4554:
4541:
4532:
4530:
4527:
4523:
4517:
4504:
4495:
4493:
4490:
4486:
4483:
4479:
4470:
4468:
4465:
4461:
4455:
4451:
4442:
4440:
4437:
4433:
4431:
4410:
4401:
4399:
4396:
4392:
4386:
4365:
4356:
4354:
4351:
4350:2020年山东省各市GDP公布
4347:
4345:
4330:
4321:
4319:
4316:
4312:
4306:
4291:
4282:
4280:
4277:
4273:
4271:
4254:
4245:
4243:
4240:
4236:
4230:
4213:
4204:
4202:
4199:
4195:
4192:
4177:
4168:
4166:
4163:
4159:
4153:
4138:
4128:
4126:
4121:
4115:
4104:
4094:
4092:
4087:
4078:
4067:
4058:
4056:
4053:
4049:
4046:
4019:
4010:
4008:
4005:
4001:
3995:
3968:
3959:
3957:
3954:
3950:
3947:
3936:
3927:
3925:
3922:
3918:
3912:
3901:
3891:
3889:
3884:
3879:
3872:
3862:
3860:
3855:
3850:
3843:
3833:
3831:
3826:
3817:
3813:
3808:
3803:
3789:Provincial city
3709:
3049:Xilingol League
184:Name in Chinese
174:Reference index
170:GDP per capita
157:
147:
143:
57:
37:
12:
11:
5:
6715:
6713:
6705:
6704:
6699:
6694:
6689:
6684:
6679:
6669:
6668:
6662:
6661:
6658:
6657:
6652:
6646:
6645:
6644:
6638:
6635:
6634:
6621:
6620:
6615:
6610:
6605:
6600:
6595:
6590:
6589:
6588:
6583:
6573:
6572:
6571:
6566:
6561:
6554:United Kingdom
6551:
6546:
6541:
6536:
6531:
6526:
6521:
6516:
6511:
6506:
6505:
6504:
6494:
6489:
6484:
6479:
6474:
6469:
6464:
6459:
6454:
6449:
6444:
6439:
6438:
6437:
6427:
6422:
6417:
6412:
6411:
6410:
6400:
6399:
6398:
6388:
6387:
6386:
6381:
6376:
6366:
6365:
6364:
6359:
6349:
6344:
6339:
6338:
6337:
6332:
6322:
6317:
6316:
6315:
6305:
6300:
6295:
6293:Czech Republic
6290:
6285:
6280:
6279:
6278:
6273:
6268:
6258:
6257:
6256:
6246:
6245:
6244:
6234:
6229:
6224:
6219:
6214:
6209:
6204:
6199:
6194:
6189:
6183:
6181:
6177:
6176:
6174:
6173:
6172:
6171:
6163:
6162:
6161:
6156:
6151:
6149:PPP per capita
6146:
6138:
6133:
6132:
6131:
6126:
6118:
6113:
6112:
6111:
6101:
6100:
6099:
6094:
6086:
6085:
6084:
6078:South America
6076:
6075:
6074:
6069:
6064:
6058:North America
6056:
6055:
6054:
6049:
6041:
6040:
6039:
6034:
6026:
6025:
6024:
6019:
6010:
6008:
6004:
6003:
6001:
6000:
5995:
5990:
5985:
5980:
5978:PPP per capita
5974:
5972:
5966:
5965:
5963:
5962:
5957:
5952:
5947:
5942:
5937:
5932:
5927:
5922:
5916:
5914:
5908:
5907:
5905:
5904:
5899:
5894:
5889:
5888:
5887:
5877:
5876:
5875:
5865:
5859:
5857:
5849:
5848:
5846:
5845:
5840:
5839:
5838:
5828:
5822:
5820:
5814:
5813:
5803:
5801:
5800:
5793:
5786:
5778:
5772:
5771:
5764:
5763:External links
5761:
5758:
5757:
5733:
5720:朔州市第七次全国人口普查公报
5705:
5681:
5653:
5629:
5601:
5577:
5549:
5521:
5490:
5466:
5438:
5414:
5401:太原市第七次全国人口普查公报
5386:
5362:
5334:
5310:
5282:
5252:
5219:
5191:
5160:
5135:
5104:
5074:
5039:
5016:
4988:
4959:
4926:
4896:
4861:
4829:
4794:
4764:
4731:
4697:
4660:
4618:
4573:
4539:
4502:
4477:
4449:
4408:
4363:
4328:
4289:
4252:
4211:
4175:
4136:
4118:municipalities
4102:
4081:municipalities
4065:
4017:
3966:
3934:
3899:
3870:
3841:
3810:
3809:
3807:
3804:
3802:
3801:
3796:
3791:
3786:
3781:
3776:
3771:
3766:
3761:
3756:
3751:
3746:
3741:
3736:
3731:
3726:
3721:
3716:
3710:
3708:
3705:
3702:
3701:
3698:
3695:
3692:
3689:
3686:
3681:
3678:
3673:
3669:
3668:
3665:
3662:
3659:
3656:
3653:
3648:
3645:
3640:
3636:
3635:
3632:
3629:
3626:
3623:
3620:
3615:
3612:
3607:
3603:
3602:
3599:
3596:
3593:
3590:
3587:
3582:
3579:
3574:
3570:
3569:
3566:
3563:
3560:
3557:
3554:
3549:
3546:
3541:
3537:
3536:
3533:
3530:
3527:
3524:
3521:
3516:
3513:
3508:
3504:
3503:
3500:
3497:
3494:
3491:
3488:
3483:
3480:
3475:
3471:
3470:
3467:
3464:
3461:
3458:
3455:
3450:
3447:
3442:
3438:
3437:
3434:
3431:
3428:
3425:
3422:
3417:
3414:
3409:
3405:
3404:
3401:
3398:
3395:
3392:
3389:
3384:
3381:
3376:
3372:
3371:
3368:
3365:
3362:
3359:
3356:
3351:
3348:
3343:
3339:
3338:
3335:
3332:
3329:
3326:
3323:
3318:
3315:
3310:
3306:
3305:
3302:
3299:
3296:
3293:
3290:
3285:
3282:
3277:
3273:
3272:
3269:
3266:
3263:
3260:
3257:
3252:
3249:
3244:
3240:
3239:
3236:
3233:
3230:
3227:
3224:
3219:
3216:
3211:
3207:
3206:
3203:
3200:
3197:
3194:
3191:
3186:
3183:
3178:
3174:
3173:
3170:
3167:
3164:
3161:
3158:
3153:
3150:
3145:
3141:
3140:
3137:
3134:
3131:
3128:
3125:
3120:
3117:
3112:
3108:
3107:
3104:
3101:
3098:
3095:
3092:
3087:
3084:
3079:
3075:
3074:
3071:
3068:
3065:
3062:
3059:
3057:Inner Mongolia
3054:
3051:
3046:
3042:
3041:
3038:
3035:
3032:
3029:
3026:
3021:
3018:
3013:
3009:
3008:
3005:
3002:
2999:
2996:
2993:
2988:
2985:
2980:
2976:
2975:
2972:
2969:
2966:
2963:
2960:
2955:
2952:
2947:
2943:
2942:
2939:
2936:
2933:
2930:
2927:
2922:
2919:
2914:
2910:
2909:
2906:
2903:
2900:
2897:
2894:
2889:
2886:
2881:
2877:
2876:
2873:
2870:
2867:
2864:
2861:
2856:
2853:
2848:
2844:
2843:
2840:
2837:
2834:
2831:
2828:
2823:
2820:
2815:
2811:
2810:
2807:
2804:
2801:
2798:
2795:
2790:
2787:
2782:
2778:
2777:
2774:
2771:
2768:
2765:
2762:
2757:
2754:
2749:
2745:
2744:
2741:
2738:
2735:
2732:
2729:
2724:
2721:
2716:
2712:
2711:
2708:
2705:
2702:
2699:
2696:
2691:
2688:
2683:
2679:
2678:
2675:
2672:
2669:
2666:
2663:
2658:
2655:
2650:
2646:
2645:
2642:
2639:
2636:
2633:
2630:
2625:
2622:
2617:
2613:
2612:
2609:
2606:
2603:
2600:
2597:
2592:
2589:
2584:
2580:
2579:
2576:
2573:
2570:
2567:
2564:
2562:Inner Mongolia
2559:
2556:
2551:
2547:
2546:
2543:
2540:
2537:
2534:
2531:
2526:
2523:
2518:
2514:
2513:
2510:
2507:
2504:
2501:
2498:
2493:
2490:
2485:
2481:
2480:
2477:
2474:
2471:
2468:
2465:
2460:
2457:
2452:
2448:
2447:
2444:
2441:
2438:
2435:
2432:
2427:
2424:
2419:
2415:
2414:
2411:
2408:
2405:
2402:
2399:
2394:
2391:
2386:
2382:
2381:
2378:
2375:
2372:
2369:
2366:
2361:
2358:
2353:
2349:
2348:
2345:
2342:
2339:
2336:
2333:
2328:
2325:
2320:
2316:
2315:
2312:
2309:
2306:
2303:
2300:
2295:
2292:
2287:
2283:
2282:
2279:
2276:
2273:
2270:
2267:
2262:
2259:
2254:
2250:
2249:
2246:
2243:
2240:
2237:
2234:
2229:
2226:
2221:
2217:
2216:
2213:
2210:
2207:
2204:
2201:
2196:
2193:
2188:
2184:
2183:
2180:
2177:
2174:
2171:
2168:
2163:
2160:
2155:
2151:
2150:
2147:
2144:
2141:
2138:
2135:
2130:
2127:
2122:
2118:
2117:
2114:
2111:
2108:
2105:
2102:
2097:
2094:
2089:
2085:
2084:
2081:
2078:
2075:
2072:
2069:
2064:
2061:
2056:
2052:
2051:
2048:
2045:
2042:
2039:
2036:
2031:
2028:
2023:
2019:
2018:
2015:
2012:
2009:
2006:
2003:
1998:
1995:
1990:
1986:
1985:
1982:
1979:
1976:
1973:
1970:
1965:
1962:
1957:
1953:
1952:
1949:
1946:
1943:
1940:
1937:
1932:
1929:
1924:
1920:
1919:
1916:
1913:
1910:
1907:
1904:
1899:
1896:
1891:
1887:
1886:
1883:
1880:
1877:
1874:
1871:
1866:
1863:
1858:
1854:
1853:
1850:
1847:
1844:
1841:
1838:
1833:
1830:
1825:
1821:
1820:
1817:
1814:
1811:
1808:
1805:
1800:
1797:
1792:
1788:
1787:
1784:
1781:
1778:
1775:
1772:
1767:
1764:
1759:
1755:
1754:
1751:
1748:
1745:
1742:
1739:
1734:
1731:
1726:
1722:
1721:
1718:
1715:
1712:
1709:
1706:
1701:
1698:
1693:
1689:
1688:
1685:
1682:
1679:
1676:
1673:
1671:Inner Mongolia
1668:
1665:
1660:
1656:
1655:
1652:
1649:
1646:
1643:
1640:
1635:
1632:
1627:
1623:
1622:
1619:
1616:
1613:
1610:
1607:
1602:
1599:
1594:
1590:
1589:
1586:
1583:
1580:
1577:
1574:
1569:
1566:
1561:
1557:
1556:
1553:
1550:
1547:
1544:
1541:
1539:Inner Mongolia
1536:
1533:
1528:
1524:
1523:
1520:
1517:
1514:
1511:
1508:
1503:
1500:
1495:
1491:
1490:
1487:
1484:
1481:
1478:
1475:
1470:
1467:
1462:
1458:
1457:
1454:
1451:
1448:
1445:
1442:
1437:
1434:
1429:
1425:
1424:
1421:
1418:
1415:
1412:
1409:
1404:
1401:
1396:
1392:
1391:
1388:
1385:
1382:
1379:
1376:
1371:
1368:
1363:
1359:
1358:
1355:
1352:
1349:
1346:
1343:
1338:
1335:
1330:
1326:
1325:
1322:
1319:
1316:
1313:
1310:
1305:
1302:
1297:
1293:
1292:
1289:
1286:
1283:
1280:
1277:
1272:
1269:
1264:
1260:
1259:
1256:
1253:
1250:
1247:
1244:
1239:
1236:
1234:Yulin, Shaanxi
1231:
1227:
1226:
1223:
1220:
1217:
1214:
1211:
1206:
1203:
1198:
1194:
1193:
1190:
1187:
1184:
1181:
1178:
1173:
1170:
1165:
1161:
1160:
1157:
1154:
1151:
1148:
1145:
1140:
1137:
1132:
1128:
1127:
1124:
1121:
1118:
1115:
1112:
1110:Inner Mongolia
1107:
1104:
1099:
1095:
1094:
1091:
1088:
1085:
1082:
1079:
1074:
1071:
1066:
1062:
1061:
1058:
1055:
1052:
1049:
1046:
1041:
1038:
1033:
1029:
1028:
1025:
1022:
1019:
1016:
1013:
1008:
1005:
1000:
996:
995:
992:
989:
986:
983:
980:
975:
972:
967:
963:
962:
959:
956:
953:
950:
947:
942:
939:
934:
930:
929:
926:
923:
920:
917:
914:
909:
906:
901:
897:
896:
893:
890:
887:
884:
881:
876:
873:
868:
864:
863:
860:
857:
854:
851:
848:
843:
840:
835:
831:
830:
827:
824:
821:
818:
815:
810:
807:
802:
798:
797:
794:
791:
788:
785:
782:
777:
774:
769:
765:
764:
761:
758:
755:
752:
749:
744:
741:
736:
732:
731:
728:
725:
722:
719:
716:
711:
708:
703:
699:
698:
695:
692:
689:
686:
683:
678:
675:
670:
666:
665:
662:
659:
656:
653:
650:
645:
642:
637:
633:
632:
629:
626:
623:
620:
617:
612:
609:
604:
600:
599:
596:
593:
590:
587:
584:
579:
576:
571:
567:
566:
563:
560:
557:
554:
551:
546:
543:
538:
534:
533:
530:
527:
524:
521:
518:
513:
510:
505:
501:
500:
497:
494:
491:
488:
485:
480:
477:
472:
468:
467:
464:
461:
458:
455:
452:
447:
444:
439:
435:
434:
431:
428:
425:
422:
419:
414:
411:
406:
402:
401:
398:
395:
392:
389:
386:
384:Inner Mongolia
381:
378:
373:
369:
368:
365:
362:
359:
356:
353:
348:
345:
340:
336:
335:
332:
329:
326:
323:
320:
315:
312:
307:
303:
302:
299:
296:
293:
290:
287:
282:
279:
274:
270:
269:
266:
263:
260:
257:
254:
249:
246:
241:
237:
236:
233:
230:
227:
224:
221:
216:
213:
208:
204:
203:
200:
197:
194:
191:
188:
185:
182:
178:
177:
171:
168:
165:
161:
160:
142:
139:
91:municipalities
56:
53:
13:
10:
9:
6:
4:
3:
2:
6714:
6703:
6700:
6698:
6695:
6693:
6690:
6688:
6685:
6683:
6680:
6678:
6675:
6674:
6672:
6656:
6653:
6651:
6648:
6647:
6643:
6640:
6639:
6636:
6632:
6631:
6628:
6625:
6619:
6616:
6614:
6611:
6609:
6606:
6604:
6601:
6599:
6596:
6594:
6591:
6587:
6584:
6582:
6579:
6578:
6577:
6576:United States
6574:
6570:
6567:
6565:
6562:
6560:
6557:
6556:
6555:
6552:
6550:
6547:
6545:
6542:
6540:
6537:
6535:
6532:
6530:
6527:
6525:
6522:
6520:
6517:
6515:
6512:
6510:
6507:
6503:
6500:
6499:
6498:
6495:
6493:
6490:
6488:
6485:
6483:
6480:
6478:
6475:
6473:
6470:
6468:
6465:
6463:
6460:
6458:
6455:
6453:
6450:
6448:
6445:
6443:
6440:
6436:
6433:
6432:
6431:
6428:
6426:
6423:
6421:
6418:
6416:
6413:
6409:
6406:
6405:
6404:
6401:
6397:
6394:
6393:
6392:
6389:
6385:
6382:
6380:
6377:
6375:
6372:
6371:
6370:
6367:
6363:
6360:
6358:
6355:
6354:
6353:
6350:
6348:
6345:
6343:
6340:
6336:
6333:
6331:
6328:
6327:
6326:
6323:
6321:
6318:
6314:
6311:
6310:
6309:
6306:
6304:
6301:
6299:
6296:
6294:
6291:
6289:
6286:
6284:
6281:
6277:
6274:
6272:
6269:
6267:
6264:
6263:
6262:
6259:
6255:
6252:
6251:
6250:
6247:
6243:
6240:
6239:
6238:
6235:
6233:
6230:
6228:
6225:
6223:
6220:
6218:
6215:
6213:
6212:Baltic States
6210:
6208:
6205:
6203:
6200:
6198:
6195:
6193:
6190:
6188:
6185:
6184:
6182:
6178:
6170:
6167:
6166:
6164:
6160:
6157:
6155:
6152:
6150:
6147:
6145:
6142:
6141:
6139:
6137:
6134:
6130:
6127:
6125:
6122:
6121:
6119:
6117:
6114:
6110:
6107:
6106:
6105:
6102:
6098:
6095:
6093:
6090:
6089:
6087:
6083:
6080:
6079:
6077:
6073:
6070:
6068:
6065:
6063:
6060:
6059:
6057:
6053:
6050:
6048:
6045:
6044:
6042:
6038:
6035:
6033:
6030:
6029:
6027:
6023:
6020:
6018:
6015:
6014:
6012:
6011:
6009:
6005:
5999:
5996:
5994:
5991:
5989:
5986:
5984:
5981:
5979:
5976:
5975:
5973:
5971:
5967:
5961:
5958:
5956:
5953:
5951:
5948:
5946:
5943:
5941:
5938:
5936:
5933:
5931:
5928:
5926:
5923:
5921:
5918:
5917:
5915:
5913:
5909:
5903:
5900:
5898:
5895:
5893:
5890:
5886:
5883:
5882:
5881:
5878:
5874:
5871:
5870:
5869:
5866:
5864:
5861:
5860:
5858:
5856:
5850:
5844:
5841:
5837:
5834:
5833:
5832:
5829:
5827:
5824:
5823:
5821:
5819:
5815:
5810:
5806:
5799:
5794:
5792:
5787:
5785:
5780:
5779:
5776:
5770:
5767:
5766:
5762:
5746:
5737:
5734:
5722:
5715:
5709:
5706:
5694:
5685:
5682:
5670:
5663:
5657:
5654:
5642:
5633:
5630:
5618:
5611:
5605:
5602:
5590:
5581:
5578:
5566:
5559:
5553:
5550:
5538:
5528:
5526:
5522:
5510:
5503:
5497:
5495:
5491:
5479:
5470:
5467:
5455:
5448:
5442:
5439:
5427:
5418:
5415:
5403:
5396:
5390:
5387:
5375:
5366:
5363:
5351:
5344:
5338:
5335:
5323:
5314:
5311:
5299:
5292:
5286:
5283:
5271:
5261:
5259:
5257:
5253:
5241:
5234:
5228:
5226:
5224:
5220:
5208:
5198:
5196:
5192:
5180:
5173:
5167:
5165:
5161:
5149:
5142:
5140:
5136:
5124:
5117:
5111:
5109:
5105:
5093:
5085:
5083:
5081:
5079:
5075:
5063:
5056:
5050:
5048:
5046:
5044:
5040:
5028:
5020:
5017:
5005:
4998:
4992:
4989:
4976:
4968:
4966:
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4960:
4948:
4941:
4935:
4933:
4931:
4927:
4915:
4907:
4905:
4903:
4901:
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4878:
4872:
4870:
4868:
4866:
4862:
4850:
4840:
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4836:
4834:
4830:
4818:
4811:
4805:
4803:
4801:
4799:
4795:
4783:
4773:
4771:
4769:
4765:
4753:
4746:
4740:
4738:
4736:
4732:
4720:
4710:
4708:
4706:
4704:
4702:
4698:
4686:
4679:
4673:
4671:
4669:
4667:
4665:
4661:
4649:
4639:
4637:
4635:
4633:
4631:
4629:
4627:
4625:
4623:
4619:
4607:
4600:
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4540:
4528:
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4509:
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4491:
4481:
4478:
4466:
4459:
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4450:
4438:
4429:
4427:
4425:
4423:
4421:
4419:
4417:
4415:
4413:
4409:
4397:
4390:
4384:
4382:
4380:
4378:
4376:
4374:
4372:
4370:
4368:
4364:
4352:
4343:
4341:
4339:
4337:
4335:
4333:
4329:
4317:
4310:
4304:
4302:
4300:
4298:
4296:
4294:
4290:
4278:
4269:
4267:
4265:
4263:
4261:
4259:
4257:
4253:
4241:
4234:
4228:
4226:
4224:
4222:
4220:
4218:
4216:
4212:
4200:
4190:
4188:
4186:
4184:
4182:
4180:
4176:
4164:
4157:
4151:
4149:
4147:
4145:
4143:
4141:
4137:
4124:
4119:
4113:
4111:
4109:
4107:
4103:
4090:
4086:
4082:
4076:
4074:
4072:
4070:
4066:
4054:
4044:
4042:
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4038:
4036:
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4028:
4026:
4024:
4022:
4018:
4006:
3999:
3993:
3991:
3989:
3987:
3985:
3983:
3981:
3979:
3977:
3975:
3973:
3971:
3967:
3955:
3953:2020年新疆各市州GDP
3945:
3943:
3941:
3939:
3935:
3923:
3916:
3910:
3908:
3906:
3904:
3900:
3887:
3883:
3877:
3875:
3871:
3858:
3854:
3848:
3846:
3842:
3829:
3824:
3821:
3815:
3812:
3805:
3800:
3797:
3795:
3792:
3790:
3787:
3785:
3782:
3780:
3777:
3775:
3772:
3770:
3767:
3765:
3762:
3760:
3757:
3755:
3752:
3750:
3747:
3745:
3742:
3740:
3737:
3735:
3732:
3730:
3727:
3725:
3722:
3720:
3717:
3715:
3712:
3711:
3706:
3699:
3696:
3693:
3690:
3687:
3685:
3677:
3671:
3666:
3663:
3660:
3657:
3654:
3652:
3644:
3638:
3633:
3630:
3627:
3624:
3621:
3619:
3611:
3605:
3600:
3597:
3594:
3591:
3588:
3586:
3578:
3577:Fangchenggang
3572:
3567:
3564:
3561:
3558:
3555:
3553:
3545:
3539:
3534:
3531:
3528:
3525:
3522:
3520:
3512:
3506:
3501:
3498:
3495:
3492:
3489:
3487:
3479:
3473:
3468:
3465:
3462:
3459:
3456:
3454:
3446:
3440:
3435:
3432:
3429:
3426:
3423:
3421:
3413:
3407:
3402:
3399:
3396:
3393:
3390:
3388:
3380:
3374:
3369:
3366:
3363:
3360:
3357:
3355:
3347:
3341:
3336:
3333:
3330:
3327:
3324:
3322:
3314:
3308:
3303:
3300:
3297:
3294:
3291:
3289:
3281:
3275:
3270:
3267:
3264:
3261:
3258:
3256:
3248:
3242:
3237:
3234:
3231:
3228:
3225:
3223:
3215:
3209:
3204:
3201:
3198:
3195:
3192:
3190:
3182:
3176:
3171:
3168:
3165:
3162:
3159:
3157:
3149:
3143:
3138:
3135:
3132:
3129:
3126:
3124:
3116:
3110:
3105:
3102:
3099:
3096:
3093:
3091:
3083:
3077:
3072:
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3063:
3060:
3058:
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3033:
3030:
3027:
3025:
3017:
3011:
3006:
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3000:
2997:
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2984:
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2964:
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2926:
2918:
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2907:
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2879:
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2827:
2819:
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2802:
2799:
2796:
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2780:
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2753:
2747:
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2200:
2192:
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2178:
2175:
2172:
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2167:
2159:
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2148:
2145:
2142:
2139:
2136:
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2126:
2120:
2115:
2112:
2109:
2106:
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2101:
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2070:
2068:
2060:
2054:
2049:
2046:
2043:
2040:
2037:
2035:
2027:
2021:
2016:
2013:
2010:
2007:
2004:
2002:
1994:
1988:
1983:
1980:
1977:
1974:
1971:
1969:
1961:
1955:
1950:
1947:
1944:
1941:
1938:
1936:
1928:
1922:
1917:
1914:
1911:
1908:
1905:
1903:
1895:
1889:
1884:
1881:
1878:
1875:
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1829:
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1526:
1521:
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1507:
1499:
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1328:
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1320:
1317:
1314:
1311:
1309:
1301:
1295:
1290:
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1224:
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1218:
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1202:
1196:
1191:
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1182:
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1177:
1169:
1163:
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1144:
1136:
1130:
1125:
1122:
1119:
1116:
1113:
1111:
1103:
1097:
1092:
1089:
1086:
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1080:
1078:
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1037:
1031:
1026:
1023:
1020:
1017:
1014:
1012:
1004:
998:
993:
990:
987:
984:
981:
979:
971:
965:
960:
957:
954:
951:
948:
946:
938:
932:
927:
924:
921:
918:
915:
913:
905:
899:
894:
891:
888:
885:
882:
880:
872:
866:
861:
858:
855:
852:
849:
847:
839:
833:
828:
825:
822:
819:
816:
814:
806:
800:
795:
792:
789:
786:
783:
781:
773:
767:
762:
759:
756:
753:
750:
748:
740:
734:
729:
726:
723:
720:
717:
715:
707:
701:
696:
693:
690:
687:
684:
682:
674:
668:
663:
660:
657:
654:
651:
649:
641:
635:
630:
627:
624:
621:
618:
616:
608:
602:
597:
594:
591:
588:
585:
583:
575:
569:
564:
561:
558:
555:
552:
550:
542:
536:
531:
528:
525:
522:
519:
517:
509:
503:
498:
495:
492:
489:
486:
484:
476:
470:
465:
462:
459:
456:
453:
451:
443:
437:
432:
429:
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423:
420:
418:
410:
404:
399:
396:
393:
390:
387:
385:
377:
371:
366:
363:
360:
357:
354:
352:
344:
338:
333:
330:
327:
324:
321:
319:
311:
305:
300:
297:
294:
291:
288:
286:
278:
272:
267:
264:
261:
258:
255:
253:
245:
239:
234:
231:
228:
225:
222:
220:
212:
206:
201:
198:
195:
192:
189:
186:
183:
180:
175:
151:
140:
138:
134:
132:
129:
125:
121:
116:
114:
110:
107:
104:
100:
96:
92:
88:
80:
76:
72:
65:
61:
54:
52:
50:
46:
41:
36:
32:
24:
20:
16:
6622:
6524:South Africa
6509:Saudi Arabia
6088:Arab League
5925:Asian states
5749:. Retrieved
5736:
5725:. Retrieved
5713:
5708:
5697:. Retrieved
5684:
5673:. Retrieved
5661:
5656:
5645:. Retrieved
5632:
5621:. Retrieved
5609:
5604:
5593:. Retrieved
5580:
5569:. Retrieved
5557:
5552:
5541:. Retrieved
5513:. Retrieved
5501:
5482:. Retrieved
5469:
5458:. Retrieved
5446:
5441:
5430:. Retrieved
5417:
5406:. Retrieved
5394:
5389:
5378:. Retrieved
5365:
5354:. Retrieved
5342:
5337:
5326:. Retrieved
5313:
5302:. Retrieved
5290:
5285:
5274:. Retrieved
5244:. Retrieved
5232:
5211:. Retrieved
5183:. Retrieved
5171:
5152:. Retrieved
5127:. Retrieved
5115:
5096:. Retrieved
5066:. Retrieved
5054:
5031:. Retrieved
5019:
5008:. Retrieved
4996:
4991:
4979:. Retrieved
4951:. Retrieved
4939:
4918:. Retrieved
4888:. Retrieved
4876:
4853:. Retrieved
4821:. Retrieved
4809:
4786:. Retrieved
4756:. Retrieved
4744:
4723:. Retrieved
4689:. Retrieved
4677:
4652:. Retrieved
4610:. Retrieved
4598:
4565:. Retrieved
4531:. Retrieved
4519:
4494:. Retrieved
4480:
4469:. Retrieved
4457:
4452:
4441:. Retrieved
4400:. Retrieved
4388:
4355:. Retrieved
4320:. Retrieved
4308:
4281:. Retrieved
4244:. Retrieved
4232:
4203:. Retrieved
4167:. Retrieved
4155:
4127:. Retrieved
4093:. Retrieved
4084:
4057:. Retrieved
4009:. Retrieved
3997:
3958:. Retrieved
3926:. Retrieved
3914:
3890:. Retrieved
3881:
3861:. Retrieved
3852:
3832:. Retrieved
3822:
3819:
3814:
2925:municipality
2430:Heilongjiang
1605:municipality
516:municipality
351:municipality
173:
135:
117:
84:
28:
15:
6544:Switzerland
6529:South Korea
6477:Philippines
6447:Netherlands
6276:prefectures
6109:subdivision
5988:Real income
5912:Growth rate
3799:Global city
3445:Lianyungang
2974:12,952,907
2941:32,054,159
2347:20,937,757
1918:10,466,625
1720:12,600,574
1621:13,866,009
1102:Alxa League
1060:10,047,914
994:10,071,722
928:12,326,518
697:18,676,605
664:11,936,010
532:24,870,895
499:17,560,061
466:12,748,262
367:21,893,095
202:Population
55:Methodology
31:prefectures
6671:Categories
6559:per capita
6502:per capita
6435:per capita
6415:Kazakhstan
6408:per capita
6374:per capita
6362:per capita
6330:per capita
6313:per capita
6266:per capita
6254:per capita
5950:Per capita
5885:per capita
5873:per capita
5863:Per capita
5836:per capita
5826:Per capita
5751:2021-08-26
5727:2021-08-26
5699:2021-08-26
5675:2021-08-26
5647:2021-08-26
5623:2021-08-26
5595:2021-08-26
5571:2021-08-26
5543:2021-08-24
5515:2021-08-24
5484:2021-08-24
5460:2021-08-24
5432:2021-08-26
5408:2021-08-26
5380:2021-08-24
5356:2021-08-24
5328:2021-08-26
5304:2021-08-26
5276:2021-08-24
5246:2021-08-24
5213:2021-08-24
5185:2021-08-24
5154:2021-08-24
5129:2021-08-24
5098:2021-08-24
5068:2021-08-24
5033:2021-08-24
5010:2021-08-24
4981:August 24,
4953:2021-08-24
4920:2021-08-24
4890:2021-08-24
4855:2021-08-24
4823:2021-08-24
4788:2021-08-24
4758:2021-08-24
4725:2021-08-24
4691:2021-08-24
4654:2021-08-24
4612:2021-08-24
4567:2021-08-24
4533:2021-08-24
4496:2021-08-23
4471:2021-08-23
4443:2021-08-23
4402:2021-08-23
4357:2021-08-23
4322:2021-08-23
4283:2021-08-23
4246:2021-08-23
4205:2021-08-23
4169:2021-08-23
4129:August 23,
4095:August 23,
4059:2021-08-23
4011:2021-08-23
3960:2021-08-23
3928:2021-08-23
3892:August 23,
3863:August 23,
3834:August 23,
3806:References
3700:1,593,444
3667:3,456,161
3634:6,042,852
3601:1,046,068
3568:2,282,581
3535:4,600,276
3502:5,279,102
3469:4,599,360
3436:2,034,872
3403:4,418,060
3370:9,572,903
3337:2,276,184
3304:5,987,018
3247:Shizuishan
3238:7,056,699
3205:9,027,781
3172:9,066,906
3139:2,596,927
3106:2,680,645
3073:1,107,075
3040:3,987,054
3007:4,157,934
2908:4,704,138
2842:5,304,061
2809:4,379,998
2776:5,051,922
2743:6,622,888
2710:3,902,738
2677:8,460,088
2611:9,083,790
2578:3,446,100
2512:4,054,369
2479:3,210,714
2446:2,781,562
2413:3,146,789
2380:1,202,499
2314:1,154,223
2281:1,212,203
2248:2,726,181
2215:1,613,585
2182:5,260,951
2149:4,556,230
2116:6,709,629
2083:5,054,328
1984:2,249,502
1951:6,255,007
1885:1,079,353
1852:7,717,983
1819:1,389,691
1786:7,450,785
1753:3,367,579
1654:2,159,930
1588:5,400,868
1555:2,709,378
1522:3,644,420
1489:2,906,548
1456:2,723,637
1423:4,017,607
1390:9,369,881
1357:2,486,450
1324:7,102,116
1291:9,202,432
1258:3,624,750
1225:5,270,977
1192:9,498,863
1159:8,782,285
1093:4,512,762
1027:8,291,268
961:5,163,970
895:7,726,635
862:1,157,817
829:3,210,418
796:9,404,283
730:4,559,797
631:2,193,518
598:2,439,585
565:5,278,121
433:9,314,685
400:2,153,638
334:7,462,135
235:7,474,200
148:(based on
6384:regencies
6369:Indonesia
6202:Australia
6192:Argentina
4083:are from
3618:Guangdong
3412:Sanmenxia
3387:Guangdong
3379:Zhongshan
3148:Changchun
2968:1,002,039
2935:2,500,279
2917:Chongqing
2341:1,771,670
2257:Panzhihua
2158:Xiangyang
2059:Zhangzhou
2026:Jiayuguan
1902:Guangdong
1714:1,200,304
1696:Zhengzhou
1615:1,408,373
1384:1,004,572
1285:1,014,091
1186:1,081,647
1176:Guangdong
1153:1,015,866
1054:1,214,252
1021:1,002,002
988:1,240,056
922:1,561,610
889:1,003,630
805:Zhenjiang
790:1,240,870
691:2,501,911
681:Guangdong
673:Guangzhou
658:1,610,580
582:Guangdong
541:Changzhou
526:3,870,058
493:2,767,024
483:Guangdong
460:2,017,050
427:1,481,795
361:3,610,260
328:1,237,048
229:2,379,265
211:Hong Kong
141:2020 list
64:Hong Kong
6603:Thailand
6598:Tanzania
6581:counties
6564:counties
6519:Slovakia
6487:Portugal
6467:Pakistan
6442:Mongolia
6425:Malaysia
6283:Colombia
6232:Bulgaria
6165:Oceania
5811:rankings
3707:See also
3676:Shuozhou
3511:Jiujiang
3354:Zhejiang
3321:Zhejiang
3271:751,389
3189:Liaoning
3181:Shenyang
2892:Shandong
2875:867,891
2727:Zhejiang
2644:238,936
2620:Nyingchi
2545:438,026
2521:Jinchang
2496:Xinjiang
2224:Xiangtan
2199:Xinjiang
2092:Yancheng
2050:312,663
2017:673,383
2001:Xinjiang
1927:Nanchang
1894:Dongguan
1828:Tangshan
1803:Liaoning
1770:Liaoning
1737:Zhejiang
1687:556,621
1630:Maanshan
1572:Zhejiang
1473:Shandong
1308:Shandong
1275:Shandong
1209:Zhejiang
1201:Shaoxing
1135:Quanzhou
1126:262,361
1036:Changsha
978:Shandong
846:Zhejiang
838:Zhoushan
780:Zhejiang
763:468,216
706:Yangzhou
648:Zhejiang
640:Hangzhou
615:Shandong
607:Dongying
508:Shanghai
475:Shenzhen
301:490,348
285:Xinjiang
268:683,218
187:Province
120:counties
79:Xinjiang
45:renminbi
6613:Vietnam
6549:Ukraine
6492:Romania
6452:Nigeria
6347:Hungary
6325:Germany
6320:Georgia
6303:Finland
6288:Croatia
6222:Belgium
6217:Belarus
6207:Austria
6197:Armenia
6187:Albania
6154:nominal
6140:Europe
6124:nominal
6067:nominal
6052:nominal
6037:nominal
6022:nominal
6013:Africa
5818:Nominal
3694:110,050
3661:240,410
3651:Sichuan
3628:422,179
3610:Huizhou
3585:Guangxi
3562:160,148
3552:Shaanxi
3529:324,050
3519:Jiangxi
3496:374,910
3478:Changde
3463:327,707
3453:Jiangsu
3430:145,071
3397:315,159
3364:687,090
3346:Wenzhou
3331:163,910
3298:431,165
3288:Guizhou
3280:Guiyang
3255:Ningxia
3232:512,836
3214:Luoyang
3199:657,160
3166:663,803
3133:190,641
3115:Jingmen
3100:200,740
3082:Nanping
3034:303,210
3016:Chuzhou
3001:317,694
2991:Guangxi
2983:Liuzhou
2971:145,278
2958:Shaanxi
2938:362,496
2902:367,354
2836:415,325
2818:Taiyuan
2803:344,923
2785:Xuchang
2770:400,155
2752:Yueyang
2737:526,270
2704:310,580
2686:Zhuzhou
2671:673,379
2653:Kunming
2608:106,124
2605:731,977
2595:Jiangsu
2572:280,070
2506:333,732
2473:264,397
2440:230,110
2407:261,900
2374:100,133
2364:Jiangxi
2344:256,861
2331:Sichuan
2323:Chengdu
2298:Jiangxi
2290:Yingtan
2275:104,082
2265:Sichuan
2242:234,310
2209:138,725
2176:460,197
2143:402,537
2133:Jiangsu
2125:Huai'an
2110:595,340
2100:Jiangsu
2077:454,561
1978:205,815
1945:574,551
1935:Jiangxi
1915:139,911
1912:965,019
1879:100,523
1849:104,545
1846:721,090
1813:130,360
1783:101,928
1780:703,040
1747:320,140
1717:174,023
1675:101,171
1648:218,690
1642:101,249
1618:204,189
1609:101,570
1597:Tianjin
1582:550,950
1576:102,011
1564:Jiaxing
1549:278,736
1543:102,878
1516:375,302
1510:102,980
1483:301,779
1477:103,827
1450:287,090
1444:105,407
1432:Longyan
1417:426,142
1411:106,069
1399:Yichang
1387:145,645
1378:107,213
1351:270,219
1345:108,677
1333:Sanming
1321:113,324
1318:781,642
1312:110,058
1288:147,025
1279:110,198
1252:408,966
1246:112,826
1242:Shaanxi
1219:600,070
1213:113,844
1189:156,820
1180:113,871
1156:147,282
1147:115,672
1114:116,176
1087:531,200
1081:117,711
1077:Jiangsu
1057:176,045
1048:120,846
1024:145,272
1015:120,850
991:179,786
982:123,123
970:Qingdao
955:638,402
949:123,626
925:226,406
916:126,687
892:145,508
883:129,892
879:Jiangsu
871:Nantong
856:151,210
850:130,599
823:422,000
817:131,447
813:Jiangsu
793:179,904
784:131,947
751:132,377
747:Qinghai
724:604,833
718:132,645
714:Jiangsu
694:362,732
685:133,960
661:233,505
652:134,935
625:298,119
619:135,909
592:348,194
586:142,727
562:113,163
559:780,530
553:147,880
549:Jiangsu
529:561,089
520:155,606
496:401,169
487:157,575
463:292,436
454:158,222
450:Jiangsu
430:214,834
421:159,082
417:Jiangsu
409:Nanjing
394:353,366
388:164,079
364:523,423
355:164,904
343:Beijing
331:179,350
322:165,777
318:Jiangsu
289:180,872
277:Karamay
262:174,813
256:255,907
232:344,941
223:320,366
176:(2020)
75:Karamay
6608:Turkey
6593:Taiwan
6586:cities
6569:cities
6539:Sweden
6514:Serbia
6497:Russia
6482:Poland
6462:Norway
6430:Mexico
6379:cities
6342:Greece
6335:cities
6308:France
6271:cities
6242:cities
6237:Canada
6227:Brazil
5716:, see
5664:, see
5612:, see
5560:, see
5504:, see
5449:, see
5397:, see
5345:, see
5293:, see
5235:, see
5174:, see
5118:, see
5057:, see
4999:, see
4942:, see
4879:, see
4812:, see
4747:, see
4680:, see
4601:, see
4522:, see
4460:, see
4391:, see
4311:, see
4235:, see
4158:, see
4000:, see
3917:, see
3697:15,955
3691:10,013
3688:69,064
3684:Shanxi
3664:34,855
3658:10,085
3655:69,560
3643:Deyang
3631:61,208
3625:10,129
3622:69,864
3598:10,624
3595:73,281
3592:10,157
3589:70,054
3565:23,219
3559:10,172
3556:70,161
3544:Yan'an
3532:46,981
3526:10,213
3523:70,441
3499:54,355
3493:10,296
3490:71,018
3466:47,512
3460:10,330
3457:71,251
3433:21,033
3427:10,336
3424:71,292
3400:45,692
3394:10,342
3391:71,334
3367:99,616
3361:10,406
3358:71,774
3334:23,764
3328:10,440
3325:72,011
3313:Quzhou
3301:62,511
3295:10,441
3292:72,017
3265:54,162
3262:10,451
3259:72,083
3235:74,352
3229:10,536
3226:72,674
3202:95,276
3196:10,554
3193:72,793
3169:96,240
3163:10,614
3160:73,212
3136:27,640
3130:10,643
3127:73,410
3103:29,104
3097:10,857
3094:74,885
3090:Fujian
3070:12,176
3067:83,984
3064:10,998
3061:75,861
3037:43,960
3031:11,026
3028:76,049
3004:46,060
2998:11,078
2995:76,407
2965:11,216
2962:77,360
2932:11,309
2929:78,002
2905:53,260
2899:11,322
2896:78,092
2869:67,816
2866:11,329
2863:78,139
2839:60,215
2833:11,353
2830:78,303
2826:Shanxi
2806:50,008
2800:11,417
2797:78,750
2773:58,015
2767:11,484
2764:79,208
2740:76,300
2734:11,521
2731:79,462
2707:45,029
2701:11,538
2698:79,580
2674:97,628
2668:11,540
2665:79,595
2661:Yunnan
2638:19,134
2635:11,610
2632:80,080
2602:11,683
2599:80,581
2587:Xuzhou
2575:40,605
2569:11,783
2566:81,272
2554:Hohhot
2539:35,860
2536:11,869
2533:81,867
2509:48,385
2503:11,934
2500:82,314
2488:Ürümqi
2476:38,333
2470:11,939
2467:82,348
2463:Fujian
2455:Putian
2443:33,362
2437:11,994
2434:82,727
2422:Daqing
2410:37,971
2404:12,067
2401:83,228
2397:Fujian
2389:Ningde
2377:14,517
2371:12,073
2368:83,271
2338:12,268
2335:84,616
2311:14,290
2308:98,566
2305:12,381
2302:85,396
2278:15,090
2272:12,448
2269:85,862
2245:33,971
2239:12,461
2236:85,948
2212:20,113
2206:12,465
2203:85,973
2179:66,720
2173:12,682
2170:87,474
2146:58,361
2140:12,809
2137:88,349
2113:86,314
2107:12,864
2104:88,729
2080:65,903
2074:13,039
2071:89,935
2067:Fujian
2044:28,160
2041:13,058
2038:90,065
2011:60,791
2008:13,089
2005:90,277
1981:29,840
1975:13,265
1972:91,493
1968:Yunnan
1948:83,300
1942:13,317
1939:91,855
1909:13,367
1906:92,200
1882:14,574
1876:13,503
1873:93,133
1843:13,546
1840:93,430
1816:18,900
1810:13,600
1807:93,805
1795:Panjin
1777:13,680
1774:94,358
1762:Dalian
1750:46,415
1744:13,783
1741:95,065
1729:Huzhou
1711:13,811
1708:95,258
1681:56,314
1678:14,668
1651:31,706
1645:14,679
1612:14,726
1585:79,878
1579:14,790
1552:40,412
1546:14,915
1531:Baotou
1519:54,412
1513:14,930
1486:43,753
1480:15,053
1465:Weihai
1453:41,623
1447:15,282
1440:Fujian
1420:61,783
1414:15,378
1381:15,544
1354:39,177
1348:15,756
1341:Fujian
1315:15,956
1300:Yantai
1282:15,977
1255:59,293
1249:16,358
1222:86,999
1216:16,505
1183:16,509
1168:Foshan
1150:16,770
1143:Fujian
1120:30,480
1117:16,843
1090:77,015
1084:17,066
1051:17,521
1018:17,521
1011:Fujian
1003:Fuzhou
985:17,851
958:92,557
952:17,924
945:Fujian
937:Xiamen
919:18,367
886:18,832
859:21,923
853:18,935
826:61,182
820:19,057
787:19,130
772:Ningbo
757:61,981
754:19,192
727:87,690
721:19,231
688:19,422
655:19,563
628:43,222
622:19,704
595:50,482
589:20,693
574:Zhuhai
556:21,440
523:22,560
490:22,846
457:22,939
442:Suzhou
424:23,064
397:51,232
391:23,789
358:23,908
325:24,035
298:12,858
295:88,690
292:26,223
265:25,344
259:37,101
226:46,446
97:, and
6534:Spain
6457:Nepal
6420:Kenya
6403:Japan
6391:Italy
6352:India
6298:Egypt
6261:China
6249:Chile
6104:ASEAN
5855:(PPP)
3486:Hunan
3420:Henan
3268:7,853
3222:Henan
3156:Jilin
3123:Hubei
3053:锡林郛勒盟
3024:Anhui
2950:Xi'an
2872:9,832
2859:Tibet
2851:Lhasa
2793:Henan
2760:Hunan
2694:Hunan
2641:2,774
2628:Tibet
2542:5,199
2529:Gansu
2356:Xinyu
2232:Hunan
2166:Hubei
2047:4,083
2034:Gansu
2014:8,814
1869:Hubei
1861:Ezhou
1836:Hebei
1704:Henan
1684:8,165
1663:Wuhai
1638:Anhui
1506:Anhui
1407:Hubei
1374:Anhui
1366:Hefei
1267:Jinan
1123:4,419
1044:Hunan
912:Hubei
904:Wuhan
760:8,986
376:Ordos
244:Macau
164:Rank
113:rural
23:Macau
6618:OECD
6472:Peru
6116:Asia
5868:Past
4983:2021
4131:2021
4097:2021
3894:2021
3865:2021
3836:2021
2884:Zibo
2558:呼和浩特
2492:乌鲁木齐
1993:Hami
1960:Yuxi
1498:Wuhu
1106:阿拉善盟
380:鄂尔多斯
310:Wuxi
281:克拉玛依
181:City
38:and
6357:PPP
6169:GDP
6144:PPP
6129:PPP
6082:PPP
6062:PPP
6047:PPP
6032:PPP
6017:PPP
5809:GDP
5807:by
5089:see
5024:see
4972:see
4911:see
3672:106
3639:105
3606:104
3581:防城港
3573:103
3540:102
3507:101
3474:100
3449:连云港
3416:三门峡
3251:石嘴山
2261:攀枝花
2195:昌吉州
2030:嘉峪关
1634:马鞍山
743:海西州
252:SAR
219:SAR
193:USD
190:CNY
77:in
6673::
5524:^
5493:^
5255:^
5222:^
5194:^
5163:^
5138:^
5107:^
5077:^
5042:^
4962:^
4929:^
4899:^
4864:^
4832:^
4797:^
4767:^
4734:^
4700:^
4663:^
4621:^
4576:^
4542:^
4505:^
4411:^
4366:^
4331:^
4292:^
4255:^
4214:^
4178:^
4139:^
4105:^
4068:^
4020:^
3969:^
3937:^
3902:^
3873:^
3844:^
3825:.
3680:朔州
3647:德阳
3614:惠州
3548:延安
3515:九江
3482:常德
3441:99
3408:98
3383:中山
3375:97
3350:温州
3342:96
3317:衢州
3309:95
3284:贵阳
3276:94
3243:93
3218:洛阳
3210:92
3185:沈阳
3177:91
3152:长春
3144:90
3119:荆门
3111:89
3086:南平
3078:88
3045:87
3020:滁州
3012:86
2987:柳州
2979:85
2954:西安
2946:84
2921:重庆
2913:83
2888:淄博
2880:82
2855:拉萨
2847:81
2822:太原
2814:80
2789:许昌
2781:79
2756:岳阳
2748:78
2723:台州
2715:77
2690:株洲
2682:76
2657:昆明
2649:75
2624:林芝
2616:74
2591:徐州
2583:73
2550:72
2525:金昌
2517:71
2484:70
2459:莆田
2451:69
2426:大庆
2418:68
2393:宁德
2385:67
2360:新余
2352:66
2327:成都
2319:65
2294:鹰潭
2286:64
2253:63
2228:湘潭
2220:62
2187:61
2162:襄阳
2154:60
2129:淮安
2121:59
2096:盐城
2088:58
2063:漳州
2055:57
2022:56
1997:哈密
1989:55
1964:玉溪
1956:54
1931:南昌
1923:53
1898:东莞
1890:52
1865:鄂州
1857:51
1832:唐山
1824:50
1799:盘锦
1791:49
1766:大连
1758:48
1733:湖州
1725:47
1700:郑州
1692:46
1667:乌海
1659:45
1626:44
1601:天津
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1568:嘉兴
1560:42
1535:包头
1527:41
1502:芜湖
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1469:威海
1461:39
1436:龙岩
1428:38
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1337:三明
1329:35
1304:烟台
1296:34
1271:济南
1263:33
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1197:31
1172:佛山
1164:30
1139:泉州
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1098:28
1073:泰州
1065:27
1040:长沙
1032:26
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999:25
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941:厦门
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867:21
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735:17
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545:常州
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