Four-yearly Wage Structure Survey National Results: Wage distribution Averages and percentiles, by age and years working there Units: euros ,Average,Percentile 10,Percentile 25,Percentile 50,Percentile 75,Percentile 90, Both sexes, All,22,790.20,8,643.66,13,602.53,19,017.09,28,255.45,40,811.42, Less than 1 year,15,373.41,6,066.08,9,870.75,14,226.99,18,301.74,24,616.48, 1 to 3 years,19,043.67,7,475.00,12,063.29,16,443.65,23,047.23,32,693.41, 4 to 10 years,22,663.86,10,080.11,14,452.27,19,407.60,27,697.30,38,491.10, 11 to 20 years,28,576.22,13,200.40,17,883.17,24,450.23,35,247.15,49,154.28, 21 to 29 years,34,127.38,17,133.68,22,230.53,30,614.15,42,319.76,56,788.99, 30 years and over,33,393.12,12,065.26,22,085.28,31,000.16,42,889.69,56,330.66, Women, All,19,735.22,7,001.27,11,462.43,16,536.10,24,751.72,36,249.13, Less than 1 year,13,128.26,4,919.87,7,733.32,11,982.33,16,034.91,21,816.65, 1 to 3 years,16,565.58,6,275.44,10,224.10,14,353.71,20,237.06,29,144.38, 4 to 10 years,19,914.07,8,125.14,12,305.94,17,104.82,24,249.71,34,818.72, 11 to 20 years,25,306.24,10,509.40,15,524.32,21,970.89,31,725.66,43,936.09, 21 to 29 years,30,977.66,15,220.94,20,858.28,27,867.95,38,860.72,50,284.92, 30 years and over,31,021.29,15,509.09,22,144.35,28,396.44,38,786.86,48,557.10, Men, All,25,479.74,11,391.44,15,770.16,21,206.99,31,164.24,44,725.21, Less than 1 year,17,362.77,8,162.90,12,282.37,15,955.07,19,817.83,26,408.80, 1 to 3 years,21,637.91,10,151.63,14,363.28,18,482.08,25,599.91,35,880.00, 4 to 10 years,25,173.41,13,192.08,16,562.94,21,594.33,30,000.00,41,213.88, 11 to 20 years,31,109.96,15,623.18,19,600.93,26,535.19,37,223.64,52,928.98, 21 to 29 years,36,180.76,18,031.62,23,506.21,32,854.99,44,875.91,60,131.00, 30 years and over,34,840.30,7,626.18,22,019.18,32,714.91,45,477.63,59,524.47, Notes: 1) '..'=The corresponding data is not provided because the number of sampling observations is less than 100 When the box is marked with a '-' sign before the data, this indicates that the number of sampling observations is between 100 and 500, and thus the figure is unreliable and must be interpreted cautiously. Source: National Statistics Institute