Back to Top

 Skip navigation

Distribution

This release has been compiled during the COVID-19 crisis. The results contained in this release reflect some of the economic impacts of the COVID-19 situation.

Open in Excel:

Impact of COVID-19 on earnings statistics

The COVID-19 pandemic and the restrictions applied in response to it had a significant impact on the Labour Market in 2020. Earnings statistics for 2020 and comparisons with earlier years are impacted by changes in the composition of the labour market across 2020 and when compared to 2019 and earlier years. As shown in the Main Results chapter, the level of earnings has also been impacted by COVID-19 income support schemes introduced in 2020.

These factors should be taken into account when considering the results presented in this publication.

In 2020, 39.8% of all employments earned between €400 and €800 per week

As is typical in earnings distributions, a relatively small number of high earners result in a positively skewed earnings distribution of employees in Ireland. In a positively skewed earnings distribution, mean earnings are greater than median earnings as the mean is increased by those higher earners. In such cases median earnings (the middle earner in the economy or sector) may be a more reflective figure of the average earnings of employees in the economy or sector. 

Figure 3.1 below shows the weekly earnings at each percentile on the earnings distribution for 2020. It also highlights the Mean and Median earnings for that year.

In 2020 the median weekly earnings were €629.46 (half of all jobs earned more than this amount and half earned less). 

Mean weekly earnings in 2020 were €801.41. Figure 3.1 below illustrates that 64% of employees earned less than the mean, while 36% earned more than the mean.

X-axis labelWeekly earningsMeanMedian
195801629
2121801629
3144801629
4162801629
5180801629
6195801629
7208801629
8221801629
9226801629
10235801629
11248801629
12260801629
13272801629
14285801629
15297801629
16308801629
17320801629
18332801629
19344801629
20354801629
21364801629
22375801629
23384801629
24394801629
25403801629
26412801629
27422801629
28431801629
29440801629
30449801629
31458801629
32466801629
33475801629
34483801629
35492801629
36500801629
37509801629
38518801629
39527801629
40536801629
41544801629
42554801629
43563801629
44572801629
45581801629
46590801629
47600801629
48610801629
49619801629
50629801629
51640801629
52650801629
53661801629
54673801629
55683801629
56695801629
57708801629
58720801629
59732801629
60744801629
61757801629
62767801629
63780801629
64794801629
65808801629
66823801629
67838801629
68853801629
69868801629
70885801629
71902801629
72921801629
73940801629
74960801629
75980801629
761002801629
771026801629
781050801629
791076801629
801103801629
811132801629
821160801629
831192801629
841223801629
851259801629
861296801629
871335801629
881376801629
891421801629
901473801629
911532801629
921598801629
931676801629
941768801629
951889801629
962058801629
972303801629
982714801629
993571801629

Figure 3.2 presents the distribution of employments by weekly earnings and sex.

It shows a greater proportion of female employees at the lower end of the distribution, when compared to male employees.

X-axis labelMalesFemales
€500.10.18
€1501.994.29
€3008.5215.46
€45012.3617.48
€60017.4916.32
€75014.7712.07
€90010.989.87
€10507.566.66
€12005.435.13
€13504.323.93
€15003.542.6
€16502.761.66
€18002.111.07
€19501.50.72
€21001.110.49
€22500.870.37
€24000.680.27
€25500.540.2

Figure 3.3 presents the distribution of employees by weekly earnings and age group.

The 15-24 year-old age group has the highest proportion of employees at the lower end of the distribution.

As age increases the distribution of earnings flattens out, meaning a smaller proportion of employees in the lower end of the distribution. This trend continues up to the 50-59 years age group, where there is a small reversal of the trend, while for the 60 years and over age group there is a more significant movement in the proportion of employments back the lower end of the distribution. 

X-axis label15 - 24yrs25 - 29yrs30 - 39yrs40 - 49yrs50 - 59yrs60yrs and overTotal
€500.330.060.060.070.120.460.14
€1509.771.481.431.742.516.283.13
€30032.348.577.157.5410.1717.8911.95
€45028.5417.5812.0811.1312.4915.4214.89
€60016.6323.8517.8315.2514.914.0216.92
€7507.2217.2615.1113.6413.3112.0613.43
€9003.0813.6112.1710.9110.779.7610.43
€10501.117.29.368.037.295.967.11
€12000.463.687.196.645.54.285.28
€13500.222.294.796.064.83.24.13
€15000.111.523.434.444.052.353.07
€16500.060.932.333.153.221.952.22
€18000.040.561.622.342.341.471.6
€19500.020.361.151.711.580.911.12
€21000.010.270.831.221.130.650.8
€22500.010.180.650.950.880.550.62
€24000.010.140.490.750.660.350.47
€25500.010.10.40.60.490.280.37
Table 3.1 Weekly earnings by decile (every 10th percentile)

Table 3.1 above shows the earnings at every 10th percentile in each of the years 2013 to 2020.

Figure 3.4 and Table 3.2 below present the percentage change in earnings (year on year) at every 10th percentile.

Between 2013 and 2014 there were small increases in the lower percentiles and small decreases in the higher percentiles.

In the 2014-2015 period there were increases in all the percentiles displayed, with the highest increase (1.9%) in the 10th percentile.

Between 2015 and 2016 there were again increases in all the percentiles displayed, but the most significant increases were in the lowest 3 percentiles shown (10th, 20th and 30th), which experienced increases in earnings of 3.7%, 4% and 3.6% respectively.

There were significant increases in all percentiles displayed for both the 2016-2017, 2017-2018 and 2018-2019 periods. 

Between 2019 and 2020 there was very strong increases in all the percentiles displayed. However, when considering these results it should be taken into account that the COVID-19 pandemic and the restrictions applied in response to it had a significant impact on the Labour Market in 2020. Earnings statistics for 2020 and comparisons with earlier years are impacted by changes in the composition of the labour market across 2020 and when compared to 2019 and earlier years. The level of earnings has also been impacted by COVID-19 income support schemes introduced in 2020.

X-axis label2014-20152015-20162016-20172017-20182018-20192019-2020
10th1.915836101882623.689014451809182.708933717579252.698704213855724.9873329690526911.3271823988644
20th1.357566765578633.95227987996782.816306414137863.047319044032045.2764486975013211.7725034717839
30th1.286546400497633.570531252617192.989218328840963.452066267109835.631451123254417.56095224409636
40th0.9966701637549542.578867737054852.59768849752343.18206201051394.936782565296956.13332804882882
50th0.6959506610588081.711931073234682.498895109015933.007491780600424.362082497601825.19753994250953
60th0.4701427782598521.102335003062052.332841500349452.965683670526814.380831650476855.12335305664213
70th0.2436851483073040.5750581592911092.006393429841212.817906188692714.060215586668315.31748961148748
80th0.7566803157583730.6001696814806222.190616996022742.786551197147243.91237547702835.24935134310134
90th1.35479975850270.7203672522794642.789102235539943.546550877623683.651787368031115.26217978042087
2011-20122012-20132013-20142014-20152015-20162016-20172017-2018
10th-1.90.4668482187517360.7744647895115310.9331942690893324.367215967803342.86086503387182.796494249962
20th-0.60.8213625373346690.9381061541174240.7861360539463964.000554669624922.23.28440965427266
30th-1.20.7098052162429760.778560891657110.9297660676045543.437718214535113.227397829360753.5138466182056
40th-0.80.9590565198041910.4121575455687590.7967865138943652.312667407068662.737160249451943.3831237440179
50th-0.50.980084534598280.2321330652531590.4212484271568281.730587637103232.773959765088072.92661745549283
60th-0.40.632580188388854-0.1972989920927540.2697152664970610.9628610729023552.567363003330293.24694492000708
70th-0.30.654021399682581-0.6637590122452020.1625683234981690.7169512319803672.301767564618262.93588678168761
80th0.20.542802685008703-0.3018751287863220.6117788088914720.6542795221808012.433772807053353.04738944620995
90th-0.1-0.101355631572297-0.6785034876347411.954446785417870.6974395904597142.936009452442393.75393630919567
Table 3.2 Percentage change in weekly earnings by decile (every 10th percentile)

Figure 3.5 and Table 3.3 show that, in 2020, 24.7% of all employments earned less than €400 per week. Employments earning between €400 and €800 per week accounted for 39.8% of all employments. Over a third (35.5%) of all employments earned more than €800 per week while 8.0% of employments earned €1,600 or more per week.

The economic sector with the highest proportion of employments earning less than €400 per week was the Accommodation & food services sector (65.1%), while the Information & communication sector (28.5%) had the highest proportion of employments earning €1,600 or more per week.

X-axis labelLess than €400€400-<€800€800-<€1200€1200-<€1600€1600 or more
B-E Industry9.446.121.910.911.6
F Construction17.949.323.55.73.5
G Wholesale & retail39.542.69.63.94.4
H Transporation & storage1749.422.76.54.4
I Accommodation & food services65.131.42.60.60.4
J Information & communication726.921.615.928.5
K-L Financial, insurance & real estate10.432.923.71320
M Professional, scientific & technical services13.641.120.710.414.2
N Administrative & support services28.551.611.63.74.6
O Public administration & defence6.236.730.7188.4
P Education20.130.926.716.26.1
Q Human health & social work25.238.823.58.14.4
R-S Arts, entertainment & recreation52.734.77.32.62.7
Total24.739.818.88.78
Table 3.3 Distribution of employees by weekly earnings in each economic sector, 2020

Table 3.4 below presents the proportion of employments for each main economic sector by decile for the year 2020. The deciles are calculated based on the earnings of all employments.

Looking at the table we see that the sectors with the highest proportion of employments whose earnings are in the bottom decile of earnings are the Accommodation & food services sector (28%) and the Arts, entertainment, recreation & other service activities sector (25%).

At the other end of the earnings distribution, the sectors with the highest proportion of employments whose earnings are in the top decile of earnings are the Information & communication sector (33%) and the Financial, insurance & real estate sector (23%).

Table 3.4 Proportion of employees in each economic sector by decile, 2020

Go to: Economic Sector and Firm Size

Why you can Trust the CSO

Learn about our data and confidentiality safeguards, and the steps we take to produce statistics that can be trusted by all.