Unadjusted gender gap in median earnings in Italy
Italy: Unadjusted gender gap in median earnings was 5.6% in 2014. ▼ Falling
Unadjusted gender gap in median earnings in Italy, 1986–2014
Source: OECD (2017) – processed by Our World in Data. Measured in %.
Analysis
The most recent figure for unadjusted gender gap in median earnings in Italy is 5.6%, measured in 2014. That is the lowest value across all 15 years on record.
The figure is down 49.5% on the previous year and down 16.4% over ten years.
Over the whole period, unadjusted gender gap in median earnings in Italy peaked at 17.2% in 1986 and was at its lowest, 5.6%, in 2014.
That places Italy 27th out of 29 countries with data for 2014, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 15 years of available data.
Unadjusted gender gap in median earnings in Italy, year by year
| Year | % | Change |
|---|---|---|
| 1986 | 17.2% | — |
| 1987 | 15.6% | -9.3% |
| 1989 | 11.1% | -28.8% |
| 1991 | 10.0% | -9.9% |
| 1993 | 11.5% | +15.0% |
| 1995 | 14.6% | +27.0% |
| 1998 | 7.7% | -47.3% |
| 2000 | 8.5% | +10.4% |
| 2002 | 10.3% | +21.2% |
| 2004 | 6.7% | -35.0% |
| 2006 | 7.7% | +14.9% |
| 2008 | 11.8% | +53.2% |
| 2010 | 9.9% | -16.1% |
| 2012 | 11.1% | +12.1% |
| 2014 | 5.6% | -49.5% |
Italy compared with similar countries
- Italy's 5.6% is below the median for high income countries, which is 14.4%, 39% of the median. (27 countries reporting)
- Italy's 5.6% is below the median for Europe & Central Asia, which is 13.7%, 41% of the median. (18 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 14.6% | 11.1% | 17.2% | 3 |
| 1990s | 10.9% | 7.7% | 14.6% | 4 |
| 2000s | 9.0% | 6.7% | 11.8% | 5 |
| 2010s | 8.9% | 5.6% | 11.1% | 3 |
Countries ranked near Italy
- 24 Greece 6.2% compare
- 25 New Zealand 6.1% compare
- 26 Denmark 5.8% compare
- 28 Costa Rica 3.7% compare
- 29 Belgium 3.3% compare
More work & labour data for Italy
- Population - Est. & Proj. — Total Population - Both sexes, annual -0.6708 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Male, annual growth -0.6794 % change on previous year (2100)
- Population - Est. & Proj. — Total Population - Female, annual growth -0.662 % change on previous year (2100)
- Population - Est. & Proj. — Rural population, annual growth rate -2.03 % change on previous year (2050)
- Population - Est. & Proj. — Urban population, annual growth rate 0.0094 % change on previous year (2050)
- Population - Est. & Proj. — Urban population 44,671 1000 No (2050)
- Population - Est. & Proj. — Rural population 10,422 1000 No (2050)
- Population - Est. & Proj. — Total Population - Female 17,512 1000 No (2100)
- Population - Est. & Proj. — Total Population - Male 17,865 1000 No (2100)
- Population - Est. & Proj. — Total Population - Both sexes 35,377 1000 No (2100)
Frequently asked questions
- What is unadjusted gender gap in median earnings in Italy?
- Unadjusted gender gap in median earnings in Italy was 5.6% in 2014, according to OECD (2017) – processed by Our World in Data.
- What is the highest unadjusted gender gap in median earnings recorded in Italy?
- The highest recorded value was 17.2% in 1986.
- What is the lowest unadjusted gender gap in median earnings recorded in Italy?
- The lowest recorded value was 5.6% in 2014.
- How does Italy rank for unadjusted gender gap in median earnings?
- Italy ranks 27th out of 29 countries with data for 2014.
- Is unadjusted gender gap in median earnings rising or falling in Italy?
- Over the last ten years it is down 16.4%. The long-run trend across the full record is falling.
- Where does this Italy data come from?
- The figures come from OECD (2017) – processed by Our World in Data, published as part of Unadjusted gender gap in median earnings. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY 4.0 (Our World in Data).
About this data
The gender wage gap is unadjusted and is defined as the difference between median earnings of men and women relative to median earnings of men. Estimates refer to full-time employees and to self-employed workers.