Italy unemployment rate history: choose a year or date to look up past values. Preview the observations and download your selection.
- History starts
- January 2004
- History ends
- August 2026
- Frequency
- Monthly observations
- Unit
- Percent
Download history
Preview
12 observations · January 2023 to December 2023
| Date or period | Value · Percent | Source |
|---|---|---|
| January 2023 | 7.9% | Italian National Institute of Statistics (Istat); Eurostat |
| February 2023 | 7.8% | Italian National Institute of Statistics (Istat); Eurostat |
| March 2023 | 7.9% | Italian National Institute of Statistics (Istat); Eurostat |
| April 2023 | 7.9% | Italian National Institute of Statistics (Istat); Eurostat |
| May 2023 | 7.8% | Italian National Institute of Statistics (Istat); Eurostat |
| June 2023 | 7.5% | Italian National Institute of Statistics (Istat); Eurostat |
| July 2023 | 7.8% | Italian National Institute of Statistics (Istat); Eurostat |
| August 2023 | 7.6% | Italian National Institute of Statistics (Istat); Eurostat |
| September 2023 | 7.7% | Italian National Institute of Statistics (Istat); Eurostat |
| October 2023 | 7.7% | Italian National Institute of Statistics (Istat); Eurostat |
| November 2023 | 7.5% | Italian National Institute of Statistics (Istat); Eurostat |
| December 2023 | 7.1% | Italian National Institute of Statistics (Istat); Eurostat |
Italy unemployment rate history by year
Full history →| Year | Average | High | Low | Change |
|---|---|---|---|---|
| 2026 (to date) | 5.8% | 6.2%August 2026 | 5.5%January 2026 | ▲ +0.7 |
| 2025 | 6.0% | 6.5%January 2025 | 5.7%December 2025 | ▼ −0.8 |
| 2024 | 6.6% | 7.3%February 2024 | 6.1%September 2024 | ▼ −0.7 |
| 2023 | 7.7% | 7.9%March 2023 | 7.1%December 2023 | ▼ −0.8 |
| 2022 | 8.1% | 8.5%January 2022 | 7.8%October 2022 | ▼ −0.6 |
| 2021 | 9.5% | 10.3%April 2021 | 8.9%December 2021 | ▼ −1.2 |
| 2020 | 9.3% | 10.2%July 2020 | 7.6%March 2020 | ▲ +0.2 |
| 2019 | 9.9% | 10.4%February 2019 | 9.5%October 2019 | ▼ −0.5 |
| 2018 | 10.6% | 11.0%January 2018 | 10.3%August 2018 | ▼ −0.7 |
| 2017 | 11.3% | 11.7%January 2017 | 10.9%December 2017 | ▼ −0.8 |
| 2016 | 11.7% | 11.9%November 2016 | 11.5%May 2016 | ▲ +0.2 |
| 2015 | 12.0% | 12.5%March 2015 | 11.4%November 2015 | ▼ −0.7 |
| 2014 | 12.8% | 13.1%November 2014 | 12.4%June 2014 | ▼ −0.5 |
| 2013 | 12.3% | 12.7%December 2013 | 12.0%March 2013 | ▲ +0.7 |
| 2012 | 10.9% | 11.7%December 2012 | 9.7%January 2012 | ▲ +2.0 |
| 2011 | 8.6% | 9.7%December 2011 | 8.0%April 2011 | ▲ +1.6 |
| 2010 | 8.5% | 8.8%April 2010 | 8.2%December 2010 | ▼ −0.3 |
| 2009 | 7.9% | 8.5%December 2009 | 7.2%January 2009 | ▲ +1.3 |
| 2008 | 6.8% | 7.1%November 2008 | 6.5%March 2008 | ▲ +0.3 |
| 2007 | 6.2% | 6.6%December 2007 | 5.9%April 2007 | ▲ +0.4 |
How to read this
Rows keep their published observation periods. A date selects the observation whose period includes it. Monthly and quarterly figures are not daily prices. Missing periods stay missing. The CSV keeps the period and its end date.
API
GET /v1/economics/ITA/unemployment/observations
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Common questions
What does the download contain?
The CSV contains the selected published observations, their dates, values, units and source. Values are in Percent.
Why are some dates missing?
This series follows its publication frequency. Gaps are left empty, and no daily values are invented between observations.