Taiwan, China – TWN - LFS - Labour force survey – Age (Youth, adults): 15+ – Sex: Total – Quarterly [TWN.BA_1733.AGE_YTHADULT_YGE15.SEX_T.Q]
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Source
- Provider
- International Labour Organization
- Dataset
- Unemployment rate by sex and age, seasonally adjusted series (%)
- Series ID
- [ILO/UNE_DEA1_SEX_AGE_RT/TWN.BA_1733.AGE_YTHADULT_YGE15.SEX_T.Q]
- Updated by DBnomics on
- September 21, 2020
Dimensions
- Reference area [ref_area]
- Taiwan, China [TWN]
- Source [source]
- TWN - LFS - Labour force survey [BA_1733]
- Classification 1 [classif1]
- Age (Youth, adults): 15+ [AGE_YTHADULT_YGE15]
- Sex [sex]
- Sex: Total [SEX_T]
- Frequency [frequency]
- Quarterly [Q]
| Period | Value |
|---|---|
| 2000-Q1 | 2.8764 |
| 2000-Q2 | 2.9485 |
| 2000-Q3 | 3.0216 |
| 2000-Q4 | 3.0984 |
| 2001-Q1 | 3.717 |
| 2001-Q2 | 4.404 |
| 2001-Q3 | 5.0247 |
| 2001-Q4 | 5.1518 |
| 2002-Q1 | 5.1754 |
| 2002-Q2 | 5.1831 |
| 2002-Q3 | 5.1921 |
| 2002-Q4 | 5.1664 |
| 2003-Q1 | 5.1459 |
| 2003-Q2 | 5.0707 |
| 2003-Q3 | 4.9521 |
| 2003-Q4 | 4.7895 |
| 2004-Q1 | 4.6159 |
| 2004-Q2 | 4.4936 |
| 2004-Q3 | 4.3922 |
| 2004-Q4 | 4.2638 |
| 2005-Q1 | 4.2358 |
| 2005-Q2 | 4.1536 |
| 2005-Q3 | 4.0856 |
| 2005-Q4 | 4.0203 |
| 2006-Q1 | 3.9416 |
| 2006-Q2 | 3.9087 |
| 2006-Q3 | 3.8843 |
| 2006-Q4 | 3.8958 |
| 2007-Q1 | 3.8985 |
| 2007-Q2 | 3.922 |
| 2007-Q3 | 3.8969 |
| 2007-Q4 | 3.9061 |
| 2008-Q1 | 3.9226 |
| 2008-Q2 | 3.9578 |
| 2008-Q3 | 4.0096 |
| 2008-Q4 | 4.6764 |
| 2009-Q1 | 5.6398 |
| 2009-Q2 | 5.988 |
| 2009-Q3 | 5.9587 |
| 2009-Q4 | 5.8344 |
| 2010-Q1 | 5.6546 |
| 2010-Q2 | 5.3613 |
| 2010-Q3 | 5.0643 |
| 2010-Q4 | 4.7882 |
| 2011-Q1 | 4.5767 |
| 2011-Q2 | 4.407 |
| 2011-Q3 | 4.2945 |
| 2011-Q4 | 4.2482 |
| 2012-Q1 | 4.2136 |
| 2012-Q2 | 4.2366 |
| 2012-Q3 | 4.2382 |
| 2012-Q4 | 4.2322 |
| 2013-Q1 | 4.218 |
| 2013-Q2 | 4.1921 |
| 2013-Q3 | 4.1672 |
| 2013-Q4 | 4.124 |
| 2014-Q1 | 4.0779 |
| 2014-Q2 | 3.9924 |
| 2014-Q3 | 3.9159 |
| 2014-Q4 | 3.8364 |
| 2015-Q1 | 3.7559 |
| 2015-Q2 | 3.7636 |
| 2015-Q3 | 3.7856 |
| 2015-Q4 | 3.863 |
| 2016-Q1 | 3.9216 |
| 2016-Q2 | 3.9432 |
| 2016-Q3 | 3.9333 |
| 2016-Q4 | 3.872 |
| 2017-Q1 | 3.8331 |
| 2017-Q2 | 3.7636 |
| 2017-Q3 | 3.7349 |
| 2017-Q4 | 3.714 |
| 2018-Q1 | 3.6978 |
| 2018-Q2 | 3.7101 |
| 2018-Q3 | 3.7086 |
| 2018-Q4 | 3.7148 |
| 2019-Q1 | 3.7222 |
| 2019-Q2 | 3.7296 |
| 2019-Q3 | 3.737 |
| 2019-Q4 | 3.7356 |