Yearly USD Exchange Rates by Country (1971+) - Free Download
993 yearly foreign exchange rate observations for 21 currencies against USD, 1971+. Source: US Federal Reserve (FRED) via datasets/exchange-rates. Note: AUD/EUR/GBP/IEP/NZD expressed as USD per unit; others as units per USD. Contains 993 records. Download in Excel, CSV, PDF formats.
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💡 Key Takeaways
- Contains 993 records / 3 fields
- Available for free download in Excel, CSV, and PDF formats
- Data sourced from: https://github.com/datasets/exchange-rates
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⚠️ Showing first 500 of 993 records. Download the file for complete data.
| Year | Country | Exchange Rate |
|---|---|---|
| 1971 | Australia | 0.8803 |
| 1972 | Australia | 0.8387 |
| 1973 | Australia | 0.7047 |
| 1974 | Australia | 0.695 |
| 1975 | Australia | 0.7647 |
| 1976 | Australia | 0.8187 |
| 1977 | Australia | 0.9024 |
| 1978 | Australia | 0.874 |
| 1979 | Australia | 0.8947 |
| 1980 | Australia | 0.8776 |
| 1981 | Australia | 0.8699 |
| 1982 | Australia | 0.9838 |
| 1983 | Australia | 1.1094 |
| 1984 | Australia | 1.137 |
| 1985 | Australia | 1.428 |
| 1986 | Australia | 1.4905 |
| 1987 | Australia | 1.4257 |
| 1988 | Australia | 1.2753 |
| 1989 | Australia | 1.2628 |
| 1990 | Australia | 1.2809 |
| 1991 | Australia | 1.2842 |
| 1992 | Australia | 1.3602 |
| 1993 | Australia | 1.4708 |
| 1994 | Australia | 1.3669 |
| 1995 | Australia | 1.3501 |
| 1996 | Australia | 1.2775 |
| 1997 | Australia | 1.3446 |
| 1998 | Australia | 1.5896 |
| 1999 | Australia | 1.5494 |
| 2000 | Australia | 1.7197 |
| 2001 | Australia | 1.9346 |
| 2002 | Australia | 1.8392 |
| 2003 | Australia | 1.5328 |
| 2004 | Australia | 1.3578 |
| 2005 | Australia | 1.3111 |
| 2006 | Australia | 1.3271 |
| 2007 | Australia | 1.1918 |
| 2008 | Australia | 1.1714 |
| 2009 | Australia | 1.2615 |
| 2010 | Australia | 1.087 |
| 2011 | Australia | 0.9679 |
| 2012 | Australia | 0.9653 |
| 2013 | Australia | 1.0327 |
| 2014 | Australia | 1.1069 |
| 2015 | Australia | 1.3294 |
| 2016 | Australia | 1.3432 |
| 2017 | Australia | 1.3036 |
| 2018 | Australia | 1.3367 |
| 2019 | Australia | 1.4384 |
| 2020 | Australia | 1.4495 |
| 2021 | Australia | 1.3307 |
| 2022 | Australia | 1.4386 |
| 2023 | Australia | 1.5051 |
| 2024 | Australia | 1.5158 |
| 2025 | Australia | 1.5504 |
| 1995 | Brazil | 0.9161 |
| 1996 | Brazil | 1.0051 |
| 1997 | Brazil | 1.0779 |
| 1998 | Brazil | 1.1605 |
| 1999 | Brazil | 1.8207 |
| 2000 | Brazil | 1.8301 |
| 2001 | Brazil | 2.3527 |
| 2002 | Brazil | 2.9213 |
| 2003 | Brazil | 3.075 |
| 2004 | Brazil | 2.9262 |
| 2005 | Brazil | 2.4352 |
| 2006 | Brazil | 2.1738 |
| 2007 | Brazil | 1.9461 |
| 2008 | Brazil | 1.8326 |
| 2009 | Brazil | 1.9976 |
| 2010 | Brazil | 1.76 |
| 2011 | Brazil | 1.6723 |
| 2012 | Brazil | 1.9535 |
| 2013 | Brazil | 2.157 |
| 2014 | Brazil | 2.3512 |
| 2015 | Brazil | 3.336 |
| 2016 | Brazil | 3.4839 |
| 2017 | Brazil | 3.191 |
| 2018 | Brazil | 3.6513 |
| 2019 | Brazil | 3.944 |
| 2020 | Brazil | 5.1587 |
| 2021 | Brazil | 5.3958 |
| 2022 | Brazil | 5.1605 |
| 2023 | Brazil | 4.9946 |
| 2024 | Brazil | 5.3872 |
| 2025 | Brazil | 5.5891 |
| 1971 | Canada | 1.0099 |
| 1972 | Canada | 0.9907 |
| 1973 | Canada | 1.0002 |
| 1974 | Canada | 0.978 |
| 1975 | Canada | 1.0175 |
| 1976 | Canada | 0.9863 |
| 1977 | Canada | 1.0633 |
| 1978 | Canada | 1.1405 |
| 1979 | Canada | 1.1713 |
| 1980 | Canada | 1.1693 |
| 1981 | Canada | 1.199 |
| 1982 | Canada | 1.2344 |
| 1983 | Canada | 1.2325 |
| 1984 | Canada | 1.2952 |
| 1985 | Canada | 1.3659 |
| 1986 | Canada | 1.3896 |
| 1987 | Canada | 1.3259 |
| 1988 | Canada | 1.2306 |
| 1989 | Canada | 1.1842 |
| 1990 | Canada | 1.1668 |
| 1991 | Canada | 1.146 |
| 1992 | Canada | 1.2085 |
| 1993 | Canada | 1.2902 |
| 1994 | Canada | 1.3664 |
| 1995 | Canada | 1.3725 |
| 1996 | Canada | 1.3638 |
| 1997 | Canada | 1.3849 |
| 1998 | Canada | 1.4836 |
| 1999 | Canada | 1.4858 |
| 2000 | Canada | 1.4855 |
| 2001 | Canada | 1.5487 |
| 2002 | Canada | 1.5704 |
| 2003 | Canada | 1.4008 |
| 2004 | Canada | 1.3017 |
| 2005 | Canada | 1.2115 |
| 2006 | Canada | 1.134 |
| 2007 | Canada | 1.0734 |
| 2008 | Canada | 1.066 |
| 2009 | Canada | 1.1412 |
| 2010 | Canada | 1.0298 |
| 2011 | Canada | 0.9887 |
| 2012 | Canada | 0.9995 |
| 2013 | Canada | 1.03 |
| 2014 | Canada | 1.1043 |
| 2015 | Canada | 1.2791 |
| 2016 | Canada | 1.3243 |
| 2017 | Canada | 1.2984 |
| 2018 | Canada | 1.2957 |
| 2019 | Canada | 1.3269 |
| 2020 | Canada | 1.3422 |
| 2021 | Canada | 1.2533 |
| 2022 | Canada | 1.3014 |
| 2023 | Canada | 1.3494 |
| 2024 | Canada | 1.3699 |
| 2025 | Canada | 1.3973 |
| 1981 | China | 1.71 |
| 1982 | China | 1.8979 |
| 1983 | China | 1.981 |
| 1984 | China | 2.3303 |
| 1985 | China | 2.9434 |
| 1986 | China | 3.4616 |
| 1987 | China | 3.7314 |
| 1988 | China | 3.7314 |
| 1989 | China | 3.7673 |
| 1990 | China | 4.7921 |
| 1991 | China | 5.3337 |
| 1992 | China | 5.5206 |
| 1993 | China | 5.7795 |
| 1994 | China | 8.6397 |
| 1995 | China | 8.37 |
| 1996 | China | 8.3389 |
| 1997 | China | 8.3193 |
| 1998 | China | 8.3008 |
| 1999 | China | 8.2783 |
| 2000 | China | 8.2784 |
| 2001 | China | 8.277 |
| 2002 | China | 8.2771 |
| 2003 | China | 8.2772 |
| 2004 | China | 8.2768 |
| 2005 | China | 8.1936 |
| 2006 | China | 7.9723 |
| 2007 | China | 7.6058 |
| 2008 | China | 6.9477 |
| 2009 | China | 6.8307 |
| 2010 | China | 6.7696 |
| 2011 | China | 6.463 |
| 2012 | China | 6.3093 |
| 2013 | China | 6.1478 |
| 2014 | China | 6.162 |
| 2015 | China | 6.2827 |
| 2016 | China | 6.64 |
| 2017 | China | 6.7569 |
| 2018 | China | 6.609 |
| 2019 | China | 6.9081 |
| 2020 | China | 6.9042 |
| 2021 | China | 6.4508 |
| 2022 | China | 6.729 |
| 2023 | China | 7.0809 |
| 2024 | China | 7.1957 |
| 2025 | China | 7.1875 |
| 1971 | Denmark | 7.4048 |
| 1972 | Denmark | 6.9531 |
| 1973 | Denmark | 6.0447 |
| 1974 | Denmark | 6.0925 |
| 1975 | Denmark | 5.7481 |
| 1976 | Denmark | 6.0461 |
| 1977 | Denmark | 6.005 |
| 1978 | Denmark | 5.5162 |
| 1979 | Denmark | 5.2623 |
| 1980 | Denmark | 5.6346 |
| 1981 | Denmark | 7.1351 |
| 1982 | Denmark | 8.3444 |
| 1983 | Denmark | 9.1484 |
| 1984 | Denmark | 10.3541 |
| 1985 | Denmark | 10.5983 |
| 1986 | Denmark | 8.0955 |
| 1987 | Denmark | 6.8478 |
| 1988 | Denmark | 6.7412 |
| 1989 | Denmark | 7.321 |
| 1990 | Denmark | 6.1899 |
| 1991 | Denmark | 6.4038 |
| 1992 | Denmark | 6.0372 |
| 1993 | Denmark | 6.4863 |
| 1994 | Denmark | 6.3561 |
| 1995 | Denmark | 5.5999 |
| 1996 | Denmark | 5.8003 |
| 1997 | Denmark | 6.6092 |
| 1998 | Denmark | 6.703 |
| 1999 | Denmark | 6.99 |
| 2000 | Denmark | 8.0953 |
| 2001 | Denmark | 8.3323 |
| 2002 | Denmark | 7.8862 |
| 2003 | Denmark | 6.5774 |
| 2004 | Denmark | 5.9891 |
| 2005 | Denmark | 5.9953 |
| 2006 | Denmark | 5.9422 |
| 2007 | Denmark | 5.4413 |
| 2008 | Denmark | 5.0885 |
| 2009 | Denmark | 5.3574 |
| 2010 | Denmark | 5.6265 |
| 2011 | Denmark | 5.3535 |
| 2012 | Denmark | 5.7922 |
| 2013 | Denmark | 5.617 |
| 2014 | Denmark | 5.6151 |
| 2015 | Denmark | 6.7263 |
| 2016 | Denmark | 6.7276 |
| 2017 | Denmark | 6.5957 |
| 2018 | Denmark | 6.3131 |
| 2019 | Denmark | 6.6703 |
| 2020 | Denmark | 6.543 |
| 2021 | Denmark | 6.2897 |
| 2022 | Denmark | 7.0786 |
| 2023 | Denmark | 6.89 |
| 2024 | Denmark | 6.8955 |
| 2025 | Denmark | 6.6137 |
| 1999 | Euro | 0.9387 |
| 2000 | Euro | 1.0832 |
| 2001 | Euro | 1.1171 |
| 2002 | Euro | 1.0578 |
| 2003 | Euro | 0.8833 |
| 2004 | Euro | 0.804 |
| 2005 | Euro | 0.8033 |
| 2006 | Euro | 0.796 |
| 2007 | Euro | 0.7293 |
| 2008 | Euro | 0.6791 |
| 2009 | Euro | 0.7176 |
| 2010 | Euro | 0.7541 |
| 2011 | Euro | 0.7178 |
| 2012 | Euro | 0.7777 |
| 2013 | Euro | 0.753 |
| 2014 | Euro | 0.752 |
| 2015 | Euro | 0.9012 |
| 2016 | Euro | 0.9032 |
| 2017 | Euro | 0.8849 |
| 2018 | Euro | 0.8462 |
| 2019 | Euro | 0.8933 |
| 2020 | Euro | 0.8764 |
| 2021 | Euro | 0.8453 |
| 2022 | Euro | 0.9493 |
| 2023 | Euro | 0.9245 |
| 2024 | Euro | 0.9242 |
| 2025 | Euro | 0.8845 |
| 1981 | Hong Kong | 5.5901 |
| 1982 | Hong Kong | 6.0698 |
| 1983 | Hong Kong | 7.257 |
| 1984 | Hong Kong | 7.8189 |
| 1985 | Hong Kong | 7.7912 |
| 1986 | Hong Kong | 7.8038 |
| 1987 | Hong Kong | 7.7986 |
| 1988 | Hong Kong | 7.8068 |
| 1989 | Hong Kong | 7.8008 |
| 1990 | Hong Kong | 7.7899 |
| 1991 | Hong Kong | 7.7712 |
| 1992 | Hong Kong | 7.7402 |
| 1993 | Hong Kong | 7.7357 |
| 1994 | Hong Kong | 7.729 |
| 1995 | Hong Kong | 7.7357 |
| 1996 | Hong Kong | 7.7345 |
| 1997 | Hong Kong | 7.7431 |
| 1998 | Hong Kong | 7.7467 |
| 1999 | Hong Kong | 7.7594 |
| 2000 | Hong Kong | 7.7924 |
| 2001 | Hong Kong | 7.7997 |
| 2002 | Hong Kong | 7.7996 |
| 2003 | Hong Kong | 7.7875 |
| 2004 | Hong Kong | 7.7891 |
| 2005 | Hong Kong | 7.7775 |
| 2006 | Hong Kong | 7.7681 |
| 2007 | Hong Kong | 7.8016 |
| 2008 | Hong Kong | 7.7862 |
| 2009 | Hong Kong | 7.7514 |
| 2010 | Hong Kong | 7.7687 |
| 2011 | Hong Kong | 7.7841 |
| 2012 | Hong Kong | 7.7569 |
| 2013 | Hong Kong | 7.7565 |
| 2014 | Hong Kong | 7.7545 |
| 2015 | Hong Kong | 7.7524 |
| 2016 | Hong Kong | 7.762 |
| 2017 | Hong Kong | 7.7926 |
| 2018 | Hong Kong | 7.8376 |
| 2019 | Hong Kong | 7.8351 |
| 2020 | Hong Kong | 7.7559 |
| 2021 | Hong Kong | 7.7727 |
| 2022 | Hong Kong | 7.8306 |
| 2023 | Hong Kong | 7.8292 |
| 2024 | Hong Kong | 7.803 |
| 2025 | Hong Kong | 7.7956 |
| 1973 | India | 7.6541 |
| 1974 | India | 8.0289 |
| 1975 | India | 8.4086 |
| 1976 | India | 8.9715 |
| 1977 | India | 8.7683 |
| 1978 | India | 8.1979 |
| 1979 | India | 8.1564 |
| 1980 | India | 7.8868 |
| 1981 | India | 8.6807 |
| 1982 | India | 9.4847 |
| 1983 | India | 10.1041 |
| 1984 | India | 11.3465 |
| 1985 | India | 12.3318 |
| 1986 | India | 12.5967 |
| 1987 | India | 12.9469 |
| 1988 | India | 13.8995 |
| 1989 | India | 16.2131 |
| 1990 | India | 17.4922 |
| 1991 | India | 22.7116 |
| 1992 | India | 28.1558 |
| 1993 | India | 31.2911 |
| 1994 | India | 31.3939 |
| 1995 | India | 32.4181 |
| 1996 | India | 35.506 |
| 1997 | India | 36.3645 |
| 1998 | India | 41.3561 |
| 1999 | India | 43.1274 |
| 2000 | India | 44.9975 |
| 2001 | India | 47.22 |
| 2002 | India | 48.6257 |
| 2003 | India | 46.5908 |
| 2004 | India | 45.261 |
| 2005 | India | 44.0002 |
| 2006 | India | 45.1861 |
| 2007 | India | 41.1774 |
| 2008 | India | 43.3859 |
| 2009 | India | 48.3324 |
| 2010 | India | 45.6507 |
| 2011 | India | 46.5782 |
| 2012 | India | 53.3743 |
| 2013 | India | 58.5149 |
| 2014 | India | 60.9953 |
| 2015 | India | 64.1073 |
| 2016 | India | 67.1572 |
| 2017 | India | 65.0659 |
| 2018 | India | 68.3734 |
| 2019 | India | 70.3777 |
| 2020 | India | 74.1429 |
| 2021 | India | 73.9351 |
| 2022 | India | 78.5792 |
| 2023 | India | 82.5708 |
| 2024 | India | 83.6566 |
| 2025 | India | 87.1468 |
| 1971 | Japan | 347.7857 |
| 1972 | Japan | 303.125 |
| 1973 | Japan | 271.3055 |
| 1974 | Japan | 291.8446 |
| 1975 | Japan | 296.7849 |
| 1976 | Japan | 296.4544 |
| 1977 | Japan | 268.6194 |
| 1978 | Japan | 210.3854 |
| 1979 | Japan | 219.0168 |
| 1980 | Japan | 226.6309 |
| 1981 | Japan | 220.6281 |
| 1982 | Japan | 249.0601 |
| 1983 | Japan | 237.5535 |
| 1984 | Japan | 237.4622 |
| 1985 | Japan | 238.4673 |
| 1986 | Japan | 168.3496 |
| 1987 | Japan | 144.6023 |
| 1988 | Japan | 128.1742 |
| 1989 | Japan | 138.0738 |
| 1990 | Japan | 144.9987 |
| 1991 | Japan | 134.5909 |
| 1992 | Japan | 126.7801 |
| 1993 | Japan | 111.0755 |
| 1994 | Japan | 102.179 |
| 1995 | Japan | 93.9649 |
| 1996 | Japan | 108.78 |
| 1997 | Japan | 121.0581 |
| 1998 | Japan | 130.9892 |
| 1999 | Japan | 113.7342 |
| 2000 | Japan | 107.804 |
| 2001 | Japan | 121.568 |
| 2002 | Japan | 125.2204 |
| 2003 | Japan | 115.9387 |
| 2004 | Japan | 108.1508 |
| 2005 | Japan | 110.1069 |
| 2006 | Japan | 116.3121 |
| 2007 | Japan | 117.7623 |
| 2008 | Japan | 103.3906 |
| 2009 | Japan | 93.6827 |
| 2010 | Japan | 87.7817 |
| 2011 | Japan | 79.6967 |
| 2012 | Japan | 79.818 |
| 2013 | Japan | 97.5971 |
| 2014 | Japan | 105.7398 |
| 2015 | Japan | 121.0491 |
| 2016 | Japan | 108.6569 |
| 2017 | Japan | 112.0986 |
| 2018 | Japan | 110.3974 |
| 2019 | Japan | 109.0188 |
| 2020 | Japan | 106.7754 |
| 2021 | Japan | 109.8429 |
| 2022 | Japan | 131.4589 |
| 2023 | Japan | 140.5001 |
| 2024 | Japan | 151.4551 |
| 2025 | Japan | 149.5686 |
| 1971 | Malaysia | 3.0318 |
| 1972 | Malaysia | 2.8085 |
| 1973 | Malaysia | 2.4468 |
| 1974 | Malaysia | 2.407 |
| 1975 | Malaysia | 2.4029 |
| 1976 | Malaysia | 2.5422 |
| 1977 | Malaysia | 2.4625 |
| 1978 | Malaysia | 2.3168 |
| 1979 | Malaysia | 2.1883 |
| 1980 | Malaysia | 2.1768 |
| 1981 | Malaysia | 2.3048 |
| 1982 | Malaysia | 2.3356 |
| 1983 | Malaysia | 2.3205 |
| 1984 | Malaysia | 2.3428 |
| 1985 | Malaysia | 2.4807 |
| 1986 | Malaysia | 2.5831 |
| 1987 | Malaysia | 2.5186 |
| 1988 | Malaysia | 2.619 |
| 1989 | Malaysia | 2.7079 |
| 1990 | Malaysia | 2.7049 |
| 1991 | Malaysia | 2.7503 |
| 1992 | Malaysia | 2.5463 |
| 1993 | Malaysia | 2.5738 |
| 1994 | Malaysia | 2.6237 |
| 1995 | Malaysia | 2.5073 |
| 1996 | Malaysia | 2.5154 |
| 1997 | Malaysia | 2.8173 |
| 1998 | Malaysia | 3.9254 |
| 1999 | Malaysia | 3.8 |
| 2000 | Malaysia | 3.8 |
| 2001 | Malaysia | 3.8 |
| 2002 | Malaysia | 3.8 |
| 2003 | Malaysia | 3.8 |
| 2004 | Malaysia | 3.8 |
| 2005 | Malaysia | 3.7869 |
| 2006 | Malaysia | 3.6661 |
| 2007 | Malaysia | 3.4354 |
| 2008 | Malaysia | 3.3292 |
| 2009 | Malaysia | 3.5231 |
| 2010 | Malaysia | 3.2175 |
| 2011 | Malaysia | 3.0564 |
| 2012 | Malaysia | 3.0862 |
| 2013 | Malaysia | 3.1488 |
| 2014 | Malaysia | 3.2697 |
| 2015 | Malaysia | 3.9041 |
| 2016 | Malaysia | 4.1372 |
| 2017 | Malaysia | 4.2982 |
| 2018 | Malaysia | 4.0307 |
| 2019 | Malaysia | 4.1416 |
| 2020 | Malaysia | 4.2029 |
| 2021 | Malaysia | 4.1439 |
| 2022 | Malaysia | 4.3982 |
| 2023 | Malaysia | 4.5577 |
| 2024 | Malaysia | 4.5747 |
| 2025 | Malaysia | 4.2809 |
| 1993 | Mexico | 3.1237 |
| 1994 | Mexico | 3.3853 |
| 1995 | Mexico | 6.4467 |
| 1996 | Mexico | 7.6004 |
| 1997 | Mexico | 7.9177 |
| 1998 | Mexico | 9.1521 |
| 1999 | Mexico | 9.5533 |
| 2000 | Mexico | 9.4586 |
| 2001 | Mexico | 9.3366 |
| 2002 | Mexico | 9.6633 |
| 2003 | Mexico | 10.7925 |
| 2004 | Mexico | 11.2897 |
| 2005 | Mexico | 10.8938 |
| 2006 | Mexico | 10.9056 |
| 2007 | Mexico | 10.9281 |
| 2008 | Mexico | 11.1425 |
| 2009 | Mexico | 13.4979 |
| 2010 | Mexico | 12.6237 |
| 2011 | Mexico | 12.427 |
| 2012 | Mexico | 13.1539 |
| 2013 | Mexico | 12.7584 |
| 2014 | Mexico | 13.3022 |
| 2015 | Mexico | 15.8735 |
| 2016 | Mexico | 18.6674 |