# List of prefecture-level cities by GDP per capita

This list ranks the prefecture-level cities of China by GDP per capita in Renminbi (人民币), aka yuan (元).

## Methodology[edit]

According to the administrative divisions of China, there are three level of cities: municipalities, prefecture-level cities, and county-level cities. A prefecture-level city (地级市) 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 rural or less-urbanized areas usually many times the size of the central, built-up core.

Prefecture-level cities nearly always contain multiple counties, county-level cities, 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" (市区 shìqū) is used.

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 an inflated GDP per capita.

## 2017 List[edit]

GDPpc rank |
cities | provinces | GDPpc (CNY) |
GDPpc (USD) |
GDP (CNY) (millions) |
GDP (USD) (millions) |
---|---|---|---|---|---|---|

Macau^{[1]} |
Macau | 522,691 | 77,415 | 341,364 | 50,559 | |

Hong Kong^{[1]} |
Hong Kong | 311,197 | 46,091 | 2,306,948 | 341,679 | |

1 | Shenzhen^{[2]} |
Guangdong | 183,544 | 27,184 | 2,249,006 | 333,097 |

2 | Dongying^{[3]} |
Shandong | 177,962 | 26,358 | 381,435 | 56,494 |

3 | Ordos^{[4]} |
Inner mongolia | 173,609 | 25,713 | 357,981 | 53,020 |

4 | Karamay^{[5]} |
Xinjiang | 168,146 | 24,904 | 74,450 | 11,027 |

5 | Suzhou^{[6]} |
Jiangsu | 162,388 | 24,051 | 1,731,951 | 256,517 |

6 | Wuxi^{[6]} |
Jiangsu | 160,706 | 23,802 | 1,051,180 | 155,689 |

7 | Zhuhai^{[2]} |
Guangdong | 155,502 | 23,031 | 267,518 | 39,622 |

8 | Guangzhou^{[2]} |
Guangdong | 150,678 | 22,317 | 2,150,315 | 318,480 |

9 | Nanjing^{[6]} |
Jiangsu | 141,103 | 20,899 | 1,171,510 | 173,511 |

10 | Changzhou^{[6]} |
Jiangsu | 140,435 | 20,800 | 661,842 | 98,025 |

11 | Hangzhou^{[7]} |
Zhejiang | 135,113 | 20,011 | 1,260,336 | 186,667 |

12 | Changsha^{[8]} |
Hunan | 131,207 | 19,433 | 1,021,013 | 151,221 |

13 | Baotou^{[4]} |
Inner mongolia | 130,877 | 19,384 | 375,303 | 55,586 |

Beijing^{[9]} |
Beijing | 128,994 | 19,105 | 2,801,494 | 414,926 | |

Shanghai^{[9]} |
Shanghai | 126,634 | 18,756 | 3,063,299 | 453,701 | |

14 | Zhenjiang^{[6]} |
Jiangsu | 125,962 | 18,656 | 401,036 | 59,397 |

15 | Weihai^{[3]} |
Shandong | 124,463 | 18,434 | 351,291 | 52,029 |

16 | Foshan^{[2]} |
Guangdong | 124,324 | 18,413 | 939,852 | 139,200 |

17 | Ningbo^{[7]} |
Zhejiang | 123,955 | 18,359 | 984,206 | 145,769 |

18 | Wuhan^{[10]} |
Hubei | 123,831 | 18,340 | 1,341,034 | 198,619 |

19 | Qingdao^{[3]} |
Shandong | 119,215 | 17,657 | 1,102,411 | 163,277 |

20 | Yangzhou^{[6]} |
Jiangsu | 112,559 | 16,671 | 506,492 | 75,016 |

Tianjin^{[9]} |
Tianjin | 118,944 | 17,617 | 1,854,919 | 274,730 | |

21 | Xiamen^{[11]} |
Fujian | 109,753 | 16,255 | 435,172 | 64,453 |

22 | Nantong^{[6]} |
Jiangsu | 105,903 | 15,685 | 773,464 | 114,557 |

23 | Zhongshan^{[2]} |
Guangdong | 105,711 | 15,657 | 343,031 | 50,806 |

24 | Zhoushan^{[7]} |
Zhejiang | 104,882 | 15,534 | 121,978 | 18,066 |

25 | Yantai^{[3]} |
Shandong | 103,771 | 15,369 | 734,353 | 108,764 |

26 | Taizhou, Jiangsu^{[6]} |
Jiangsu | 102,058 | 15,116 | 474,453 | 70,271 |

27 | Shaoxing^{[7]} |
Zhejiang | 101,588 | 15,046 | 507,837 | 75,215 |

28 | Zibo^{[3]} |
Shandong | 101,569 | 15,043 | 477,136 | 70,668 |

29 | Dalian^{[12]} |
Liaoning | 100,033 | 14,816 | 698,980 | 103,525 |

30 | Yulin^{[13]} |
Shaanxi | 99,076 | 14,674 | 336,129 | 49,784 |

31 | Jinan^{[3]} |
Shandong | 98,275 | 14,555 | 715,163 | 105,922 |

32 | Yichang^{[10]} |
Hubei | 98,076 | 14,526 | 385,717 | 57,128 |

33 | Daqing^{[14]} |
Heilongjiang | 97,677 | 14,467 | 268,052 | 39,701 |

34 | Jiaxing^{[7]} |
Zhejiang | 94,510 | 13,998 | 438,052 | 64,879 |

35 | Xinyu^{[15]} |
Jiangxi | 94,165 | 13,947 | 110,851 | 16,418 |

36 | Zhengzhou^{[16]} |
Henan | 93,792 | 13,891 | 919,377 | 136,168 |

37 | Fuzhou^{[11]} |
Fujian | 93,047 | 13,781 | 708,552 | 104,943 |

38 | Panzhihua^{[17]} |
Sichuan | 92,584 | 13,712 | 114,425 | 16,947 |

39 | Nanchang^{[15]} |
Jiangxi | 92,353 | 13,678 | 500,319 | 74,102 |

40 | Dongguan^{[2]} |
Guangdong | 91,329 | 13,527 | 758,209 | 112,297 |

41 | Hefei^{[18]} |
Anhui | 88,456 | 13,101 | 700,305 | 103,721 |

42 | Hohhot^{[4]} |
Inner mongolia | 88,457 | 13,101 | 274,372 | 40,637 |

43 | Quanzhou^{[11]} |
Fujian | 87,613 | 12,976 | 754,783 | 111,790 |

44 | Chengdu^{[17]} |
Sichuan | 86,911 | 12,872 | 1,388,939 | 205,714 |

45 | Changchun^{[19]} |
Jilin | 86,465 | 12,806 | 649,502 | 96,197 |

46 | Jiayuguan | Gansu | 84,677 | 12,541 | 20,987 | 3,108 |

47 | Tangshan^{[20]} |
Hebei | 82,971 | 12,289 | 653,010 | 96,716 |

48 | Huzhou^{[7]} |
Zhejiang | 82,952 | 12,286 | 247,613 | 36,674 |

49 | Sanming^{[11]} |
Fujian | 82,134 | 12,165 | 210,264 | 31,142 |

50 | Longyan^{[11]} |
Fujian | 81,713 | 12,102 | 215,313 | 31,890 |

51 | Yinchuan | Ningxia | 81,656 | 12,094 | 180,317 | 26,707 |

52 | Ezhou^{[10]} |
Hubei | 81,629 | 12,090 | 90,592 | 13,417 |

53 | Wuhu^{[18]} |
Anhui | 80,458 | 11,917 | 296,326 | 43,888 |

54 | Huizhou^{[2]} |
Guangdong | 80,205 | 11,879 | 383,058 | 56,734 |

55 | Fangchenggang^{[21]} |
Guangxi | 79,351 | 11,753 | 74,162 | 10,984 |

56 | Xi'an^{[13]} |
Shaanxi | 78,368 | 11,607 | 747,189 | 110,665 |

57 | Urumqi^{[5]} |
Xinjiang | 77,930 | 11,542 | 273,065 | 40,443 |

58 | Taiyuan | Shanxi | 77,536 | 11,484 | 338,218 | 50,093 |

59 | Hami^{[5]} |
Xinjiang | 77,496 | 11,478 | 48,001 | 7,109 |

60 | Panjin^{[12]} |
Liaoning | 75,682 | 11,209 | 108,720 | 16,102 |

61 | Xuzhou^{[6]} |
Jiangsu | 75,611 | 11,199 | 660,595 | 97,840 |

62 | Maanshan^{[18]} |
Anhui | 74,709 | 11,065 | 171,009 | 25,328 |

63 | Guiyang^{[22]} |
Guizhou | 74,493 | 11,033 | 353,796 | 52,400 |

64 | Beihai^{[21]} |
Guangxi | 74,378 | 11,016 | 122,984 | 18,215 |

65 | Wuhai^{[4]} |
Inner mongolia | 73,268 | 10,852 | 41,008 | 6,074 |

66 | Taizhou, Zhejiang^{[7]} |
Zhejiang | 71,950 | 10,656 | 438,822 | 64,993 |

67 | Kunming^{[23]} |
Yunnan | 71,906 | 10,650 | 485,764 | 71,946 |

68 | Lhasa^{[24]} |
Tibet | 70,787 | 10,484 | 47,916 | 7,097 |

69 | Xiangtan^{[8]} |
Hunan | 70,481 | 10,439 | 200,525 | 29,699 |

70 | Yancheng^{[6]} |
Jiangsu | 70,216 | 10,400 | 508,269 | 75,279 |

71 | Putian^{[11]} |
Fujian | 69,936 | 10,358 | 202,466 | 29,987 |

72 | Tongling^{[18]} |
Anhui | 69,935 | 10,358 | 112,210 | 16,619 |

73 | Shenyang^{[12]} |
Liaoning | 69,754 | 10,331 | 578,470 | 85,676 |

74 | Zhangzhou^{[11]} |
Fujian | 69,528 | 10,298 | 352,853 | 52,261 |

75 | Jinhua^{[7]} |
Zhejiang | 69,445 | 10,285 | 384,862 | 57,001 |

76 | Liuzhou^{[21]} |
Guangxi | 69,249 | 10,256 | 275,564 | 40,813 |

77 | Rizhao^{[3]} |
Shandong | 69,062 | 10,229 | 200,888 | 29,753 |

78 | Yingtan^{[15]} |
Jiangxi | 68,834 | 10,195 | 80,080 | 11,861 |

79 | Xiangyang^{[10]} |
Hubei | 68,535 | 10,151 | 406,490 | 60,205 |

80 | Huai'an^{[6]} |
Jiangsu | 67,909 | 10,058 | 332,888 | 49,304 |

## See also[edit]

## References[edit]

- ^
^{a}^{b}The gdp and gdp per capita data for Hong kong and Macau SAR, according to IMF World Economic Outlook (IMF WEO) Database "Download WEO Data: April 2019 Edition" (Press release). International Monetary Fund. April 9, 2019. Retrieved May 8, 2019. - ^
^{a}^{b}^{c}^{d}^{e}^{f}^{g}All GDP2017 data of the cities in Guangdong is based on*Guangdong Statistical Yearbook*("Guangdong Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}^{d}^{e}^{f}^{g}All GDP2017 data of the cities in Shandong is based on*Shandong Statistical Yearbook*("Shandong Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}^{d}All GDP2017 data of the cities in Inner mongolia is based on*Inner Mongolia Statistical Yearbook*("Inner Mongolia Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}The GDPpc data of the cities in Xinjiang is based on year end population and GDP, published on the local statistical communiqué of cities in Xinjiang on the 2017 National Economic and Social Development of the cities. ("local statistical communiqué of cities in Xinjiang on the 2017 National Economic and Social Development" (Press release). www.tjcn.org. April 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}^{d}^{e}^{f}^{g}^{h}^{i}^{j}^{k}All GDP2017 data of the cities in Jiangsu is based on*Jiangsu Statistical Yearbook*("Jiangsu Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}^{d}^{e}^{f}^{g}^{h}All GDP2017 data of the cities in Zhejiang is based on*Zhejiang Statistical Yearbook*("Zhejiang Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}All GDP2017 data of the cities in Hunan is based on*Hunan Statistical Yearbook*("Hunan Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}The gdp and gdp per capita data for four direct-administered municipalities, according to*China NBS national data*("China NBS national data" (Press release). National Bureau of Statistics of China. April 1, 2019. Retrieved May 8, 2019.) The average exchange rate is 6.7518 Chinese yuan per US dollar in 2017 "China Statistical Yearbook (Annual Data)" (Press release). National Bureau of Statistics of China. Retrieved May 8, 2019. - ^
^{a}^{b}^{c}^{d}All GDP2017 data of the cities in Hubei is based on*Hubei Statistical Yearbook*("Hubei Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}^{d}^{e}^{f}^{g}All GDP2017 data of the cities in Fujian is based on*Fujian Statistical Yearbook*("Fujian Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}All GDP2017 data of the cities in Liaoning is based on*Liaoning Statistical Yearbook*("Liaoning Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}All GDP2017 data of the cities in Shaanxi is based on*Shaanxi Statistical Yearbook*("Shaanxi Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) **^**All GDP2017 data of the cities in Heilongjiang is based on*Heilongjiang Statistical Yearbook*("Heilongjiang Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.)- ^
^{a}^{b}^{c}All GDP2017 data of the cities in Jiangxi is based on*Jiangxi Statistical Yearbook*("Jiangxi Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) **^**All GDP2017 data of the cities in Henan is based on*Henan Statistical Yearbook*("Henan Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.)- ^
^{a}^{b}All GDP2017 data of the cities in Sichuan is based on*Sichuan Statistical Yearbook*("Sichuan Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) - ^
^{a}^{b}^{c}^{d}All GDP2017 data of the cities in Anhui is based on*Anhui Statistical Yearbook*("Anhui Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) **^**All GDP2017 data of the cities in Jilin is based on*Jilin Statistical Yearbook*("Jilin Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.)**^**All GDP2017 data of the cities in Hebei is based on*Hebei Economic Yearbook*("Hebei Economic Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.)- ^
^{a}^{b}^{c}All GDP2017 data of the cities in Guangxi is based on*Guangxi Statistical Yearbook*("Guangxi Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.) **^**All GDP2017 data of the cities in Guizhou is based on*Guizhou Statistical Yearbook*("Guizhou Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.)**^**All GDP2017 data of the cities in Yunnan is based on*Yunnan Statistical Yearbook*("Yunnan Statistical Yearbook 2018" (Press release). China Statistics Press. September 1, 2018. Retrieved May 6, 2019.)**^**Lhasa' GDP was 47.916 billion Chinese yuan (7.097 billion US dollars) in 2017. The year end population was 665,500 in 2016 and 688,300 in 2017, and mid-year population of 676,900 in 2017. Based on the mid-year population, Lhasa' GDP per capita was CNY70,787 or $10,484. 拉萨市2017年GDP总量479.16亿元；2016年末常住人口66.55万人、2017年末常住人口68.83万人，2017年中常住人口67.69万人。基于年中常住人口计算，2017年拉萨市人均GDP为70,787元人民币，折合10,484美元。