Quarterly – Index, 2015=100 – Nominal effective exchange rate - 19 trading partners (euro area from 2015) – Austria [Q.I15.NEER_EA19.AT]
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Source
- Provider
- Eurostat
- Dataset
- Industrial countries' effective exchange rates - quarterly data
- Series ID
- [Eurostat/ert_eff_ic_q/Q.I15.NEER_EA19.AT]
- Updated on DBnomics on
- November 16, 2023 (12:15 PM)
Dimensions
- Frequency [FREQ]
- Quarterly [Q]
- Unit of measure [unit]
- Index, 2015=100 [I15]
- Exchange rate [exch_rt]
- Nominal effective exchange rate - 19 trading partners (euro area from 2015) [NEER_EA19]
- Geopolitical entity (reporting) [geo]
- Austria [AT]
Period | Value | OBS_STATUS |
---|---|---|
1994-Q1 | 99.67567 | |
1994-Q2 | 99.6781 | |
1994-Q3 | 100.34843 | |
1994-Q4 | 100.50622 | |
1995-Q1 | 102.34324 | |
1995-Q2 | 103.59908 | |
1995-Q3 | 102.27684 | |
1995-Q4 | 102.2926 | |
1996-Q1 | 101.55624 | |
1996-Q2 | 100.57033 | |
1996-Q3 | 100.50429 | |
1996-Q4 | 100.00369 | |
1997-Q1 | 99.69886 | |
1997-Q2 | 99.7331 | |
1997-Q3 | 99.47831 | |
1997-Q4 | 99.62382 | |
1998-Q1 | 99.86518 | |
1998-Q2 | 99.91435 | |
1998-Q3 | 99.94624 | |
1998-Q4 | 100.24869 | |
1999-Q1 | 100.27266 | |
1999-Q2 | 100.33685 | |
1999-Q3 | 100.32717 | |
1999-Q4 | 100.28742 | |
2000-Q1 | 100.27406 | |
2000-Q2 | 100.29279 | |
2000-Q3 | 100.31864 | |
2000-Q4 | 100.34532 | |
2001-Q1 | 100.39949 | |
2001-Q2 | 100.37949 | |
2001-Q3 | 100.39642 | |
2001-Q4 | 100.40747 | |
2002-Q1 | 100.3829 | |
2002-Q2 | 100.42468 | |
2002-Q3 | 100.46565 | |
2002-Q4 | 100.4212 | |
2003-Q1 | 100.44351 | |
2003-Q2 | 100.44436 | |
2003-Q3 | 100.47055 | |
2003-Q4 | 100.46342 | |
2004-Q1 | 100.45589 | |
2004-Q2 | 100.44428 | |
2004-Q3 | 100.45001 | |
2004-Q4 | 100.43594 | |
2005-Q1 | 100.399 | |
2005-Q2 | 100.41846 | |
2005-Q3 | 100.40937 | |
2005-Q4 | 100.40331 | |
2006-Q1 | 100.36098 | |
2006-Q2 | 100.37135 | |
2006-Q3 | 100.37768 | |
2006-Q4 | 100.29835 | |
2007-Q1 | 100.23106 | |
2007-Q2 | 100.20333 | |
2007-Q3 | 100.19567 | |
2007-Q4 | 100.18934 | |
2008-Q1 | 100.16933 | |
2008-Q2 | 100.07567 | |
2008-Q3 | 100.01336 | |
2008-Q4 | 100.01731 | |
2009-Q1 | 100.00067 | |
2009-Q2 | 100.00083 | |
2009-Q3 | 99.99927 | |
2009-Q4 | 100.00144 | |
2010-Q1 | 100.00151 | |
2010-Q2 | 100.00128 | |
2010-Q3 | 100.00156 | |
2010-Q4 | 100.00173 | |
2011-Q1 | 100.00027 | |
2011-Q2 | 100.00165 | |
2011-Q3 | 100.00167 | |
2011-Q4 | 99.99928 | |
2012-Q1 | 99.99813 | |
2012-Q2 | 99.99796 | |
2012-Q3 | 99.99731 | |
2012-Q4 | 99.99732 | |
2013-Q1 | 99.99869 | |
2013-Q2 | 99.9992 | |
2013-Q3 | 99.99989 | |
2013-Q4 | 99.99998 | |
2014-Q1 | 100 | |
2014-Q2 | 100 | |
2014-Q3 | 100 | |
2014-Q4 | 100 | |
2015-Q1 | 100 | |
2015-Q2 | 100 | |
2015-Q3 | 100 | |
2015-Q4 | 100 | |
2016-Q1 | 100 | |
2016-Q2 | 100 | |
2016-Q3 | 100 | |
2016-Q4 | 100 | |
2017-Q1 | 100 | |
2017-Q2 | 100 | |
2017-Q3 | 100 | |
2017-Q4 | 100 | |
2018-Q1 | 100 | |
2018-Q2 | 100 | |
2018-Q3 | 100 | |
2018-Q4 | 100 | |
2019-Q1 | 100 | |
2019-Q2 | 100 | |
2019-Q3 | 100 | |
2019-Q4 | 100 | |
2020-Q1 | 100 | |
2020-Q2 | 100 | |
2020-Q3 | 100 | |
2020-Q4 | 100 | |
2021-Q1 | 100 | |
2021-Q2 | 100 | |
2021-Q3 | 100 | |
2021-Q4 | 100 | |
2022-Q1 | 100 | |
2022-Q2 | 100 | |
2022-Q3 | 100 | |
2022-Q4 | 100 | |
2023-Q1 | 100 | |
2023-Q2 | 100 | |
2023-Q3 | 100 |