The article lists China's province-level divisions by gross domestic product (GDP). Each province's GDP is listed in both the national currency renminbi (CN¥), and at nominal U.S. dollar values according to annual average exchange rates.

Map

  >$1 trillion   $500 billion - $1.0 trillion   $250 - $500 billion   <$250 billion
List of 31 provincial-level administrative divisions in mainland China by Nominal GDP in 2022 (at current prices, billions of GDP)[1]
Average annual exchange rate in 2022: CNY 6.7261 per U.S. dollar[2]
(PPP no longer included in the table for frequent changes in its index)
Rank ProvincesGDP
(CN¥)
GDP
(US$)
Growth
at current
prices (%)
Real
growth
(%)
Share
(%)
China (Mainland)121,020.7217,992.705.33.0100
1 Guangdong12,911.861,919.673.51.910.67
2 Jiangsu12,287.561,826.854.72.810.15
3 Shandong8,743.511,299.945.53.97.22
4 Zhejiang7,771.541,155.435.03.16.42
5 Henan6,134.51912.055.63.15.07
6 Sichuan5,674.98843.734.92.94.69
7 Hubei5,373.49798.907.34.34.44
8 Fujian5,310.99789.617.14.74.39
9 Hunan4,867.04723.616.54.54.02
10 Anhui4,504.50669.705.83.53.72
11 Shanghai4,465.28663.872.3-0.23.69
12 Hebei4,237.04629.944.93.83.50
13 Beijing4,161.10618.651.40.73.44
14 Shaanxi3,277.27487.258.84.32.71
15 Jiangxi3,207.47476.877.54.72.65
16 Chongqing2,912.90433.073.72.62.41
17 Liaoning2,897.51430.795.12.12.39
18 Yunnan2,895.42430.486.64.32.39
19 Guangxi2,630.09391.034.32.92.17
20 Shanxi2,564.26381.2412.14.42.12
21 Inner Mongolia2,315.87344.319.44.21.91
22 Guizhou2,016.46299.803.61.21.67
23 Xinjiang1,774.13263.778.83.21.47
24 Tianjin1,631.13242.514.01.01.35
25 Heilongjiang1,590.10236.417.02.71.31
26 Jilin1,307.02194.32-0.7-1.91.08
27 Gansu1,120.16166.549.54.50.93
28 Hainan681.82101.374.80.20.56
29 Ningxia506.9675.3710.54.00.42
30 Qinghai361.0153.676.62.30.30
31 Tibet213.2631.712.51.10.18

Main Year (Nominal GDP)

GDP by national currency (renminbi) in main years

GDP in 31 provinces of mainland China by Chinese yuan (billions)[3]
year20212020201520102000
China (mainland)114,923.70101,356.7068,885.8241,211.9310,028.01
Guangdong12,471.9511,115.167,473.244,594.461,081.02
Jiangsu11,739.2410,280.777,125.594,138.39855.37
Shandong8,287.527,279.825,528.883,392.25827.81
Zhejiang7,404.086,468.914,350.772,739.99616.48
Henan5,807.145,425.943,708.412,265.50505.30
Sichuan5,408.804,850.163,034.201,722.48392.82
Hubei5,009.124,300.453,034.401,622.69354.54
Fujian4,956.614,360.862,681.951,500.25376.45
Hunan4,571.354,154.262,853.861,557.43355.15
Shanghai4,365.323,896.332,688.701,791.54481.22
Anhui4,256.523,806.152,383.121,324.98312.53
Beijing4,104.563,594.332,477.911,496.40327.78
Hebei4,039.713,601.382,639.841,800.36462.82
Shaanxi3,012.172,601.411,789.88984.52180.40
Jiangxi2,982.782,578.201,678.09938.32200.31
Chongqing2,807.732,504.141,604.05806.53182.21
Liaoning2,756.952,501.142,021.031,389.63466.91
Yunnan2,716.162,455.571,496.00773.53203.01
Guangxi2,520.912,212.091,479.78855.24208.00
Shanxi2,287.041,783.561,183.64890.39184.57
Inner Mongolia2,116.601,725.801,294.90819.99153.91
Guizhou1,945.861,786.041,054.10451.90102.99
Xinjiang1,631.161,380.07930.69536.02136.36
Tianjin1,568.511,400.801,087.95683.08159.17
Heilongjiang1,485.821,363.341,169.00830.83285.55
Jilin1,316.381,225.601,001.80641.05175.14
Gansu1,022.55897.97655.66394.37105.29
Hainan650.41556.62373.42202.0552.68
Ningxia458.82395.63257.94157.1729.50
Qinghai338.51300.98201.10114.4226.37
Tibet208.02190.27104.3051.2911.78

GDP by US dollar in main years

GDP in 31 provinces of mainland China by US dollar (billions)[2]
CN¥ per US dollar6.45156.89766.22846.76958.2784
year20212020201520102000
China (mainland)17,813.4914,694.4911,059.956,087.881,211.35
Guangdong1,933.191,611.451,199.87678.70130.58
Jiangsu1,819.611,490.491,144.05611.33103.33
Shandong1,284.591,055.41887.69501.11100.00
Zhejiang1,147.65937.85698.54404.7674.47
Henan900.12786.64595.40334.6661.04
Sichuan838.38703.17487.16254.4547.45
Hubei776.43623.47487.19239.7142.83
Fujian768.29632.23430.60221.6245.47
Hunan708.57602.28458.20230.0742.90
Shanghai676.64564.88431.68264.6558.13
Anhui659.77551.81382.62195.7337.75
Beijing636.22521.10397.84221.0539.59
Hebei626.17522.12423.84265.9555.91
Shaanxi466.89377.15287.37145.4321.79
Jiangxi462.34373.78269.43138.6124.20
Chongqing435.21363.05257.54119.1422.01
Liaoning427.33362.61324.49205.2856.40
Yunnan421.01356.00240.19114.2724.52
Guangxi390.75320.70237.59126.3425.13
Shanxi354.50258.58190.04131.5322.30
Inner Mongolia328.08250.20207.90121.1318.59
Guizhou301.61258.94169.2466.7612.44
Xinjiang252.83200.08149.4379.1816.47
Tianjin243.12203.09174.68100.9119.23
Heilongjiang230.31197.65187.69122.7334.49
Jilin204.04177.68160.8494.7021.16
Gansu158.50130.19105.2758.2612.72
Hainan100.8280.7059.9529.856.36
Ningxia71.1257.3641.4123.223.56
Qinghai52.4743.6432.2916.903.19
Tibet32.2427.5816.757.581.42

GDP by PPP intl dollar in main years

GDP in 31 provinces of mainland China
by purchasing power parity (intl$ billions)
reference only here for the frequent changes in the ppp indicator
(WEO published on April 7, 2023, by IMF[4])
CN¥ per intl dollar4.03554.17694.23883.87073.32582.7286
year202220212020201520102000
China (mainland)29,989.0327,514.1123,911.6517,796.7312,391.583,675.15
Guangdong3,199.572,985.932,622.241,930.721,381.46396.18
Jiangsu3,044.872,810.512,425.401,840.901,244.33313.48
Shandong2,166.651,984.131,717.421,428.391,019.98303.38
Zhejiang1,925.791,772.631,526.121,124.03823.86225.93
Henan1,520.141,390.301,280.07958.07681.19185.19
Sichuan1,406.261,294.931,144.23783.89517.91143.96
Hubei1,331.551,199.241,014.54783.94487.91129.93
Fujian1,316.071,186.671,028.80692.89451.09137.96
Hunan1,206.061,094.44980.06737.30468.29130.16
Anhui1,116.221,019.06897.93615.68398.39114.54
Shanghai1,106.501,045.11919.21694.63538.68176.36
Hebei1,049.94967.16849.62682.01541.33169.62
Beijing1,031.12982.68847.96640.17449.94120.13
Shaanxi812.11721.15613.71462.42296.0366.11
Jiangxi794.81714.11608.24433.54282.1373.41
Chongqing721.82672.20590.77414.41242.5166.78
Liaoning718.01660.05590.06522.14417.83171.12
Yunnan717.49650.28579.31386.49232.5874.40
Guangxi651.74603.54521.87382.30257.1576.23
Shanxi635.43547.54420.77305.79267.7267.64
Inner Mongolia573.87506.74407.14334.54246.5556.41
Guizhou499.68465.86421.36272.33135.8837.74
Xinjiang439.63390.52325.58240.44161.1749.97
Tianjin404.20375.52330.47281.07205.3958.33
Heilongjiang394.03355.72321.63302.01249.81104.65
Jilin323.88315.16289.14258.82192.7564.19
Gansu277.58244.81211.85169.39118.5838.59
Hainan168.96155.72131.3296.4760.7519.31
Ningxia125.63109.8593.3466.6447.2610.81
Qinghai89.4681.0471.0151.9534.409.66
Tibet52.8549.8044.8926.9515.424.32

Appendix

GDP figures for Hong Kong and Macau SARs are given in both US dollars and in their respective local currencies (Hong Kong dollars and Macanese patacas). PPP figures are given in Int'l. dollars.[5]

Appendix
Historical GDP of Hong Kong SAR
Historical GDP of Hong Kong SAR (in million)
(based on IMF WEO October 2022)[5]
YearHK$Nominal
(US$)
PPP
(Int'l.$)
20222,872,569368,373518,743
20212,869,682369,158488,461
20202,651,000341,319439,459
20192,921,247372,989490,880
20182,845,320363,031480,494
20172,662,530341,679456,118
20162,490,620320,877431,063
20152,398,280309,359417,319
20142,260,010291,438403,274
20132,138,310275,673385,146
20122,037,060262,601367,119
20111,934,430248,484354,188
20101,776,330228,644331,004
20091,659,250214,048306,451
20081,707,490219,279311,800
20071,650,760211,583299,479
20061,503,350193,515273,935
20051,412,130181,556248,418
20041,316,950169,085224,339
20031,256,670161,370200,973
20021,297,340166,336191,458
20011,321,140169,381185,405
20001,337,500171,643180,414
19991,285,950165,734163,908
19981,308,070168,858157,624
19971,373,080177,349165,612
19961,235,300159,718154,905
19951,119,010144,652145,906
19941,049,610135,812139,596
1993931,008120,354128,897
1992807,128104,272118,562
1991691,32388,960109,116
1990599,25876,92999,853
1989536,55968,79092,700
1988466,07759,70887,217
1987394,77150,62377,638
1986320,52641,07666,814
1985278,12735,70058,949
1984261,99233,51156,737
1983217,28229,90749,781
1982196,00532,29145,187
1981173,57731,05541,364
1980143,62028,86234,607
Historical GDP of Macau SAR
Historical GDP of Macau SAR(in million)
(based on IMF WEO October 2022)[5]
YearMOP$Nominal
(US$)
PPP
(Int'l.$)
2022187,99223,42040,369
2021239,40629,90548,591
2020210,29426,34840,049
2019445,32855,13677,700
2018440,31654,54577,334
2017405,79050,55972,228
2016362,35545,32264,610
2015362,21445,36264,465
2014442,07055,34881,350
2013411,86551,55280,810
2012343,81843,03271,418
2011294,34736,70864,148
2010225,05228,12451,643
2009171,46721,47540,752
2008167,76020,91739,917
2007147,38318,34137,870
2006118,33814,79032,224
200596,87212,09227,602
200484,92010,58624,772
200365,7338,19519,031
200258,8257,32316,734
200154,7186,81115,120

See also

Notes

This is a list of the first-level administrative divisions of Mainland China (including all provinces, autonomous regions, and municipalities) in order of their total gross domestic product.

References

  1. GDP-2022 is a preliminary data "Home - Regional - Quarterly by Province" (Press release). China NBS.
  2. 1 2 For the exchange rate of the latest year, refer to the Statistical Communiqué of that year "Statistical communiqué of the People's Republic of China on the national economic and social development" (Press release). China NBS. Retrieved May 13, 2023.; Refer to the national statistical database for the historical exchange rates "national data - annual - foreign tarde and economic cooperation - reference exchange rate of renminbi (period average)" (Press release). China NBS. Retrieved May 13, 2023., and the historical exchange rates published on the statistical yearbooks "statistical yearbooks (Chinese / English)" (Press release). China NBS. Retrieved May 13, 2023.
  3. see China national data "regional - annual by province - national accounts - gross regional product" (Press release). China NBS. Retrieved May 13, 2023.
  4. the purchasing power parity indicator in World Economic Outlook published on April 7, 2023 by International Monetary Fund "World Economic Outlook data" (Press release). International Monetary Fund. April 7, 2023. Retrieved May 13, 2023.
  5. 1 2 3 ("Download WEO Data: October 2022 Edition" (Press release). International Monetary Fund.)
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