Navigation menu for this statistical subject
Mobile Version
HK$ Million
YearMonthMain countries/territoriesAll countries/ territories *
The Mainland of ChinaUSATaiwanJapanSingaporeKoreaMalaysiaIndiaVietnamThailand
2017 4,135,974 543,935 419,050 381,868 349,130 308,728 143,539 266,047 141,277 143,777 8,232,902
2018 4,473,570 587,924 424,617 389,282 383,277 336,181 224,156 226,735 149,354 152,690 8,879,505
2019 4,268,945 516,906 418,728 373,613 362,656 276,626 196,562 192,991 158,586 141,356 8,404,126
2018 Dec 365,159 51,771 33,057 32,764 29,969 24,021 18,447 14,990 12,772 13,037 731,125
2019 Jan 361,153 44,511 32,311 28,521 29,765 19,573 17,914 14,648 11,582 11,917 707,701
Feb 225,692 34,565 23,291 25,461 27,065 18,098 13,013 14,563 8,116 9,663 506,182
Mar 366,664 48,595 36,187 32,711 30,432 26,171 19,430 17,546 13,413 12,173 746,524
Apr 346,296 40,876 32,015 31,196 29,962 21,277 17,187 13,537 10,069 11,537 678,126
May 363,243 44,094 35,884 29,997 31,556 23,742 16,416 16,019 11,874 12,781 720,839
Jun 335,376 46,185 34,631 31,542 28,386 23,227 15,529 17,059 13,490 11,691 674,401
Jul 362,637 46,723 35,452 33,029 28,153 21,587 15,652 16,543 12,624 11,214 709,408
Aug 379,727 48,534 37,662 32,255 31,830 25,906 14,230 15,800 14,591 11,937 733,504
Sep 383,364 41,023 36,825 33,056 28,979 23,765 14,607 21,007 15,902 11,813 727,010
Oct 373,561 42,254 38,389 32,082 31,925 24,580 19,387 16,980 14,803 12,091 727,645
Nov 389,516 41,649 37,148 31,812 34,002 24,776 16,397 14,730 15,997 12,529 744,708
Dec 383,901 40,333 39,025 32,279 30,638 24,063 16,854 15,029 16,221 12,043 735,048
2020 Jan 277,385 32,485 31,278 24,285 29,122 20,301 14,932 12,425 11,008 9,279 569,386
Feb 232,016 30,354 32,456 26,550 28,911 21,784 15,442 10,065 12,573 10,301 515,666

Year-on-year % change
YearMonthMain countries/territoriesAll countries/ territories *
The Mainland of ChinaUSATaiwanJapanSingaporeKoreaMalaysiaIndiaVietnamThailand
2017 +7.1 +2.5 +14.3 +5.1 +8.1 +23.4 +21.8 +27.0 +11.7 +10.1 +8.4
2018 +8.2 +8.1 +1.3 +1.9 +9.8 +8.9 +56.2 -14.8 +5.7 +6.2 +7.9
2019 -4.6 -12.1 -1.4 -4.0 -5.4 -17.7 -12.3 -14.9 +6.2 -7.4 -5.4
2018 Dec -6.5 +0.1 -23.9 -9.7 +5.6 -21.7 +12.8 -32.0 -6.1 -1.7 -6.4
2019 Jan -2.8 -7.2 -13.0 -7.8 +2.3 -28.6 +2.1 -34.9 -13.6 +4.1 -3.3
Feb -7.7 -6.2 -13.2 -2.8 +15.7 -19.0 -8.5 -19.1 +6.7 -11.4 -5.2
Mar -1.9 +5.3 -19.4 +0.4 -4.2 -9.1 -7.5 -12.5 +12.6 -8.3 -0.6
Apr -1.4 -12.9 -13.6 -6.0 +4.6 -26.1 -4.0 -22.8 -7.8 +0.5 -4.1
May -4.0 -8.8 -0.7 -6.7 -3.9 -21.5 -5.6 -2.7 0.0 -5.2 -3.4
Jun -8.4 -4.3 +0.2 -5.5 -17.0 -18.7 -17.2 -5.6 +8.1 -14.3 -8.2
Jul -5.6 -10.4 +0.5 -1.1 -16.9 -24.8 -28.3 -7.8 -1.4 -9.0 -7.3
Aug -8.8 -11.7 +5.3 -3.2 -9.2 -12.5 -28.5 -24.6 +2.4 -13.5 -8.9
Sep -6.8 -20.2 +4.8 -2.3 -16.6 -26.2 -21.5 -16.2 +11.6 -14.9 -8.9
Oct -10.8 -22.2 +5.3 -6.2 -4.2 -23.0 +1.9 -12.9 +5.4 -7.1 -10.4
Nov -1.3 -18.9 +14.2 -7.4 -6.6 +4.0 -16.5 -9.2 +21.6 -0.1 -3.7
Dec +5.1 -22.1 +18.1 -1.5 +2.2 +0.2 -8.6 +0.3 +27.0 -7.6 +0.5
2020 Jan -23.2 -27.0 -3.2 -14.9 -2.2 +3.7 -16.6 -15.2 -4.9 -22.1 -19.5
Feb +2.8 -12.2 +39.3 +4.3 +6.8 +20.4 +18.7 -30.9 +54.9 +6.6 +1.9

Notes : *Including total trade with other countries/territories.
 Hong Kong's external merchandise trade statistics are compiled based on information contained in import/export declarations. The Hong Kong Special Administrative Region is a separate customs territory, as stated in "The Basic Law of the Hong Kong Special Administrative Region of the People's Republic of China". Import/export declaration is also required of Hong Kong's trade with the mainland of China, and statistics relating to this are included in Hong Kong's external merchandise trade statistics.
 The sums of the monthly figures may differ from the cumulative totals because adjustments relating to earlier months of a particular year are incorporated in the cumulative totals of that year only.
Source : Trade Analysis Section (2),
Census and Statistics Department
(Enquiry telephone no. : 2582 4915
 Enquiry e-mail : trade@censtatd.gov.hk)


Download longer data series
- Excel format
- CSV format		 | Customize Statistical Table
(to generate customized tables by selecting statistical/classification variables and time period)