Labour Market in Lithuania (edition 2021)

Earnings, working time and labour costs

 

Photo from Pixabay.com

IIn 2020, average gross monthly earnings in the whole economy (individual enterprises included) amounted to EUR 1,428.6 (compared to 2019, increased by 10.2 per cent): in the public sector – EUR 1,541.3 (by 12.5 per cent), in the private sector – EUR 1,379.1 (by 9.1 per cent).


Average gross monthly earnings

Created with Highcharts 6.1.4EUR651.5651.5671.4671.4693.4693.4721.3721.3750.3750.3800.2800.2854.8854.8946.2946.21,370.01,370.01,541.31,541.3557.9557.9583.8583.8621.1621.1654.9654.9696.1696.1761.3761.3833.7833.7914.1914.11,264.51,264.51,379.11,379.1 Whole economy including individual enterprisesPublic sectorPrivate sector including individual enterprises201120122013201420152016201720182019202005001,0001,5002,000

From 1 January 2019, the rates of the state social insurance contributions paid by the employer and the employee were changed. Gross earnings were indexed 1.289 times.

The latest and detailed data are available in the Database of Indicators

 

Average net monthly earnings

Created with Highcharts 6.1.4EUR504.9504.9519.4519.4535.5535.5558.8558.8580.0580.0620.9620.9670.0670.0735.1735.1864.4864.4977.0977.0436.5436.5455.4455.4482.7482.7511.0511.0541.0541.0593.3593.3655.5655.5713.1713.1803.8803.8885.0885.0 Whole economy including individual enterprisesPublic sectorPrivate sector including individual enterprises201120122013201420152016201720182019202002505007501,0001,250

The latest and detailed data are available in the Database of Indicators

 

In 2020, an increase in average gross monthly earnings in the whole economy was observed in all economic activities: from 4.7 per cent (in real estate activities) to 17.4 per cent (human health care and social work), except accommodation and food service activities where average gross monthly earnings decreased by 1.7 per cent.


Changes in average gross monthly earnings in the whole economy by economic activity, 2020
Compared to 2019

Created with Highcharts 6.1.4Per cent17.417.415.415.411.711.711.411.410.710.79.69.68.78.78.68.67.87.87.57.57.57.57.37.36.36.36.26.26.16.15.95.95.85.84.74.7-1.7-1.7QHDPOJNFGERCSMBAKLI-505101520

The latest and detailed data are available in the Database of Indicators

 

Average net monthly earnings (after taxes) in the whole economy amounted to EUR 913.1 and, compared to 2019, increased by 11.1 per cent. In the public sector, net monthly earnings increased by 13 per cent and amounted to EUR 977, in the private sector – by 10.1 per cent and totalled EUR 885.

In 2020, against 2019, index of real earnings in the whole economy totalled 109.8 per cent: in the public sector – 111.7 per cent, in the private sector – 108.8 per cent.


Changes in average monthly earnings in the whole economy
Compared to the previous year

Created with Highcharts 6.1.4Per centGrossNetReal2011201220132014201520162017201820192020-5051015

Change in earnings was calculated by eliminating the effect of the change of indexation in the existing gross earnings from 2019.

The latest and detailed data are available in the Database of Indicators

 

Changes in average gross monthly earnings by sector
Compared to the previous year

Created with Highcharts 6.1.4Per cent Whole economy including individual enterprisesPublic sectorPrivate sector including individual enterprises20112012201320142015201620172018201920200358101315

Change in earnings was calculated by eliminating the effect of the change of indexation in the existing gross earnings from 2019.

The latest and detailed data are available in the Database of Indicators

 

Changes in earnings were influenced by the following changes since 1 January 2020: increased basic wages for politicians, judges, civil servants, public service employees and employees of budgetary institutions, increased minimum monthly wage, increased wages for employees of health care institutions fighting against COVID‑19, kindergarten teachers, pre-school teachers, vocational teachers and lecturers, researchers, as well as bonuses paid to officials and staff who have managed emergency situation, changes in the procedure for the calculation of the tax-exempt amount of income and other reasons.

Average gross monthly earnings remained the highest in enterprises engaged in information and communication and financial and insurance activities (1.8 and 1.7 times respectively higher than the national average). More than half (75.7 per cent) of the employees of enterprises engaged in different economic activities (manufacturing; water supply; sewerage; waste management and remediation; education; wholesale and retail trade; construction; transportation and storage activities, construction, etc.) received less than the national average gross monthly earnings.

In 2020, the lowest – EUR 889.7 – earnings were received by the employees of enterprises engaged in accommodation and food service activities (2.9 times lower compared to information and communication enterprises, where the earnings were the highest, and by 37.7 per cent lower than the national average), other service activities – EUR 1,128.7 (respectively, 2.3 times and by 18.7 per cent lower), and arts, entertainment and recreation – 1,132.6 (respectively, 2.3 times and by 20.7 per cent lower).


Average gross monthly earnings in the whole economy by sex and economic activity, 2020

Created with Highcharts 6.1.4EUREUR1,428.61,428.62,564.92,564.92,451.92,451.91,768.01,768.01,765.31,765.31,748.91,748.91,638.01,638.01,582.61,582.61,414.61,414.61,337.01,337.01,331.81,331.81,288.81,288.81,282.61,282.61,257.51,257.51,211.71,211.71,188.81,188.81,179.51,179.51,132.61,132.61,128.71,128.7889.7889.71,514.81,514.82,866.02,866.03,090.73,090.71,806.21,806.21,967.01,967.01,790.01,790.02,133.92,133.91,580.51,580.51,567.51,567.51,359.61,359.61,404.91,404.91,465.31,465.31,266.91,266.91,252.51,252.51,257.81,257.81,228.01,228.01,234.81,234.81,215.31,215.31,260.51,260.5983.1983.11,341.61,341.62,075.72,075.72,089.62,089.61,652.71,652.71,624.41,624.41,711.01,711.01,553.01,553.01,594.01,594.01,204.91,204.91,278.41,278.41,313.31,313.31,141.41,141.41,348.01,348.01,299.31,299.31,151.51,151.51,101.81,101.81,111.31,111.31,088.51,088.51,058.61,058.6857.0857.0 TotalMenWomen A–SJKDMOQBCEPGHFLANRSI02004006008001,0001,2001,4001,6001,8002,0002,2002,4002,6002,8003,0003,2003,400

The latest and detailed data are available in the Database of Indicators

 

Changes in average gross monthly earnings in the whole economy by sex and economic activity, 2020

Created with Highcharts 6.1.4Per centPer cent10.310.37.07.06.06.07.07.011.711.77.37.39.39.38.08.018.518.5-5.6-5.69.09.03.53.53.03.06.76.78.08.010.910.911.511.520.720.73.93.94.44.410.110.13.53.56.86.87.37.312.612.68.08.03.73.77.67.64.84.8-0.5-0.510.410.46.66.66.86.86.06.09.39.310.510.511.411.416.716.79.49.46.96.9MenWomen A–SABCDEFGHIJKLMNOPQRS-8-6-4-2024681012141618202224

The latest and detailed data are available in the Database of Indicators

 

In 2020, the biggest average gross monthly earnings were in the Capital Region (EUR 1,590.6), and against 2019, increased by 9.5 per cent. Gross monthly earnings in the Central and Western Lithuania region increased by 10.7 per cent and totalled EUR 1,304.7. Over the year, gross monthly earnings gap between these two regions totalled EUR 285.9.

In 2020, against the previous year, the average gross monthly earnings in the whole economy increased in all counties – from 8.1 per cent in Alytus county to 13.2 per cent in Šiauliai county.


Average monthly earnings by county, 2020

Created with Highcharts 6.1.4EUR1,590.61,590.61,419.21,419.21,350.51,350.51,243.81,243.81,224.81,224.81,210.51,210.51,184.81,184.81,173.31,173.31,166.41,166.41,142.01,142.01,004.91,004.9907.8907.8868.8868.8808.3808.3797.5797.5789.4789.4774.9774.9768.3768.3764.4764.4750.6750.6GrossNetVilnius countyKaunas countyKlaipėda countyTelšiai countyPanevėžys countyŠiauliai countyUtena countyMarijampolė countyAlytus countyTauragė county05001,0001,5002,000

The latest and detailed data are available in the Database of Indicators

 

In 2020, against 2019, average gross monthly earnings increased in all municipalities – from 1 per cent in Druskininkai municipality to 15.5 per cent in Kalvarija municipality.

In 2020, the largest average gross monthly earnings were in Vilnius city (EUR 1,604.2), and the smallest – in Zarasai district municipality (EUR 992.9). Over the year, gross earnings gap between Vilnius city and Zarasai district municipality totalled EUR 650.3.

In 15 municipalities, the average gross monthly earnings did not reach EUR 1,100. In Vilnius city, Kaunas city and Klaipėda city municipalities, the average gross monthly earnings exceeded the average gross monthly earnings in the whole economy (by EUR 215, EUR 38 and EUR 31 respectively).

In 2020, difference in earnings in the whole economy was observed in all economic activities. The highest earnings were recorded for wholesale and retail trade; repair of motor vehicles and motorcycles in Kaunas county (EUR 1,400.1), the lowest – in Tauragė county (EUR 845.8). Peak in the earnings was most noticeable in enterprises engaged in transportation and storage activities in Klaipėda county (EUR 1,431.2), while the lowest – in Marijampolė county (EUR 996.4). Employees in construction enterprises received the highest earnings in Vilnius county (EUR 1,362.3 EUR), the lowest – in Utena county (EUR 1,021.5). Peak in the earnings was recorded in education institutions in Vilnius county (EUR 1,438.1), while the lowest – in Utena county (EUR 1,123).

The highest earnings gap among the counties was most noticeable in information and communication activities (EUR 1,768) between Vilnius and Telšiai counties.

In 2020, employees of enterprises engaged in information and communication as well as financial and insurance activities in Vilnius county earned the highest net earnings (after taxes): on average – EUR 1,633.9 and EUR 1,556.7 respectively. Professionals of enterprises engaged in information and communication activities in Kaunas county ranked third: on average – EUR 1,446.6 (after taxes) in 2020.

Employees in enterprises engaged in mining and quarrying activities in Marijampolė county were paid the lowest net earnings: on average – EUR 467.3.


Over the year, gross monthly earnings of employees of budgetary institutions increased by 13.7 per cent and was by EUR 106.1 higher than the national average, yet by 0.4 per cent lower than in the public sector. Gross monthly earnings of employees of budgetary institutions increased in all counties, with the highest growth recorded in Šiauliai county (16.5 per cent) and the lowest – in Alytus county (12.2 per cent). In all counties, the average gross monthly earnings of employees of budgetary institutions were higher than the county average – from 5.5 per cent (in Telšiai county) to 16 per cent (in Tauragė county).


Average gross monthly earnings of employees of budgetary institutions by county, 2020

The latest and detailed data are available in the Database of Indicators

 

Photo from Unsplash.com

Labour statistics indicators are presented by six enterprise size groups which are classified according to the number of employees (individual enterprises included). In 2020, against 2019, average gross monthly earnings in enterprises of different size were different: the highest growth was recorded in enterprises having 250–499 employees – 11.8 per cent, in enterprises having 1 thousand and more employees and in enterprises having 1–9 employees, average gross monthly earnings over the year increased by 11.2 and 10 per cent respectively. Over the year, the average gross monthly earnings in enterprises having 50–249 employees and 10–49 employees increased by 9.9 and 9.5 per cent respectively, while the lowest growth was recorded in enterprises having 500–999 employees – 9.3 per cent.

In 2020, average gross monthly earnings in enterprises having 250–499 employees amounted to EUR 1,626.7 and by 62.2 per cent exceeded the earnings in the smallest enterprises (having 1–9 employees). Average gross monthly earnings of employees in the smallest enterprises totalled EUR 1,002.9 and was by 29.8 per cent lower than the national average; average earnings of employees of the enterprises placed in the second group by the enterprise size remained behind the national level by 6.1 per cent. Average earnings of employees in the remaining four groups exceeded the national level.


Average gross monthly earnings by sector and enterprise size class in the whole economy, 2020

Created with Highcharts 6.1.4EUR913.1913.1671.7671.7863.8863.81,476.21,476.21,626.71,626.71,600.61,600.61,608.21,608.2977.0977.0949.0949.01,245.71,245.71,382.81,382.81,701.61,701.61,757.61,757.61,782.31,782.3885.0885.0668.7668.71,362.91,362.91,538.01,538.01,583.61,583.61,535.31,535.31,414.11,414.1 Whole economy including individual enterprisesPublic sectorPrivate sector including individual enterprises Total1–9 employees10–49 employees50–249 employees250–499 employees500–999 employees1 000 and more employees05001,0001,5002,000

The latest and detailed data are available in the Database of Indicators

 

Average gross monthly earnings in the public and private sector, 2020

Created with Highcharts 6.1.4EUREUR1,541.31,541.32,679.22,679.22,199.82,199.81,808.01,808.01,796.31,796.31,700.51,700.51,661.11,661.11,563.41,563.41,540.41,540.41,540.41,540.41,419.61,419.61,400.31,400.31,343.61,343.61,333.31,333.31,321.71,321.71,317.51,317.51,242.31,242.31,173.61,173.61,379.11,379.12,442.02,442.02,586.32,586.31,755.11,755.11,675.61,675.61,247.61,247.61,551.71,551.71,227.41,227.41,416.11,416.11,413.91,413.91,150.91,150.91,216.31,216.31,118.61,118.61,310.41,310.41,288.81,288.81,158.51,158.51,208.11,208.11,026.91,026.9889.7889.7Public sectorPrivate sector including individual enterprises A–SKJMDFQHB–CCAESPGNLRI02004006008001,0001,2001,4001,6001,8002,0002,2002,4002,6002,8003,000

____________________
Accommodation and food service activities in public sector – category not applicable.

The latest and detailed data are available in the Database of Indicators

 

Changes in average gross hourly earnings¹ by economic activity, 2020
Compared to the previous year

Created with Highcharts 6.1.4Per cent19.519.514.014.010.710.79.59.59.09.08.88.88.58.57.77.77.67.66.66.66.66.66.46.46.36.36.36.35.35.35.15.14.84.84.84.84.64.63.73.7-3.1-3.1QHDO A–SPJNFGREB–CCBMAKSLI-50510152025

____________________
¹ Excluding individual enterprises.

The latest and detailed data are available in the Database of Indicators

 

Number of hours paid and worked per employee by economic activity, 2020

Created with Highcharts 6.1.4h167.70168.60168.50168.50168.50168.50168.50168.50168.50168.40168.40168.40168.40168.30168.30168.20168.20168.20168.10165.40163.70149.90156.80153.40154.20151.00152.40131.70154.70153.50154.60153.90154.30149.80150.80150.80153.50155.90144.10142.90143.80145.10Number of hours paid per employeeNumber of hours worked per employee A–SMEFGHIJNABKOB–CCDLRSPQ0102030405060708090100110120130140150160170180

The latest and detailed data are available in the Database of Indicators

 

In October 2020 employees working full-time and receiving a minimum monthly wage in the whole economy (individual enterprises included) accounted for 2.5 per cent (25.3 thousand) of the total number of full-time employees: in the public sector – 1.6 per cent (4.7 thousand), private sector – 2.9 per cent (20.6 thousand). Against the same period in 2019, the proportion of such employees remained almost unchanged: in the whole economy – decreased by 0.1 percentage point, in the public sector – decreased by 0.4 percentage points, in the private sector – increased by 0.1 percentage point. This was influenced by the increased (from 1 January 2020) minimum monthly wage (MMW), the impact of coronavirus infection (COVID‑19) on economy, and other reasons.

The largest number of employees working full-time and receiving minimum monthly wage was recorded in enterprises engaged in accommodation and food service and real estate activities: in October 2020, the share of such employees accounted for 9.7 per cent of total number of full-time employees engaged in these activities, which is by 2.5 percentage points more than in accommodation and food service activity and by 0.1 percentage point more than in real estate activities a year ago.

In October 2020, the first quarter of employees working full-time in the whole economy earned up to EUR 886, the second quarter – from EUR 886 to EUR 1,200, the third quarter – from EUR 1,200 to EUR 1,716, the last quarter – EUR 1,716 and more.


Number of full-time employees¹ in the whole economy by sector and gross earnings size class, October 2020
Full-time employees – 100 per cent

Created with Highcharts 6.1.425,31225,312171,688171,688138,229138,229227,309227,309146,341146,341127,338127,338116,342116,34254,12654,1264,7084,70828,91728,91734,21534,21555,36355,36362,10762,10755,94455,94444,56044,56014,84714,84720,60420,604142,771142,771104,014104,014171,946171,94684,23484,23471,39471,39471,78271,78239,27939,279 Whole economy including individual enterprisesPublic sectorPrivate sector including individual enterprisesMMW and underMore than MMW butunder or equal EUR 800EUR 801–1,000EUR 1,001–1,300EUR 1,301–1,600EUR 1,601–2,000EUR 2,001–3,000EUR 3,001 and more050,000100,000150,000200,000250,000

____________________
¹ Compared to the total number of employees in the respective sector.

The latest and detailed data are available in the Database of Indicators

 

In October 2020, the largest share of employees working full-time and receiving minimum monthly wage was recorded in small (having 1–9 employees) enterprises – 11.3 per cent of the total number of full-time employees in the small enterprises, or by 0.3 percentage points more than a year ago.


Minimum monthly wage and average gross monthly earnings

Created with Highcharts 6.1.4EUR231.7231.7237.7237.7289.6289.6292.2292.2312.5312.5365.0365.0380.0380.0400.0400.0555.0555.0607.0607.0592.5592.5615.1615.1646.3646.3677.4677.4714.1714.1774.0774.0840.4840.4924.1924.11,296.41,296.41,428.61,428.6Minimum monthly wageAverage gross monthly earnings201120122013201420152016201720182019202005001,0001,5002,000

In 2019, minimum monthly wage and average gross monthly earnings were indexed 1.289 times due to the changed rates of state social insurance contributions paid by the employer and employee.

The latest and detailed data are available in the Database of Indicators

 

In Lithuania, as of 1 January 2021, minimum monthly wage totalled EUR 642 (as of 1 January 2020, EUR 607) and, against the same period last year, increased by EUR 35. In Latvia, minimum monthly increased by EUR 70 and, as of 1 January 2021, amounted to EUR 500, while in Estonia – remained unchanged and totalled EUR 584.

In Luxembourg as well as in Ireland and Netherlands, as of 1 January 2021, minimum monthly wage exceeded minimum monthly wage in Lithuania 3.4 and 2.6 times respectively. The highest minimum monthly wage was in Luxembourg (EUR 2,202), Ireland (EUR 1,724), the Netherlands (EUR 1,685), Belgium (EUR 1,626), Germany (EUR 1,569), France (EUR 1,555), while the lowest – in Bulgaria (EUR 332).


Minimum monthly wage in the EU countries, 1 January 2021

Created with Highcharts 6.1.4EUR2,2022,2021,7241,7241,6851,6851,6261,6261,5691,5691,5551,5551,1081,1081,0241,024785785776776758758642642623623614614584584579579563563500500458458442442332332LuxembourgIrelandNetherlandsBelgiumGermanyFranceSpainSloveniaMaltaPortugalGreece LithuaniaSlovakiaPolandEstoniaCzechiaCroatiaLatviaRomaniaHungaryBulgaria05001,0001,5002,0002,500

Source: Eurostat's database

 

Photo from Pixabay.com

In 2020, the gender pay gap in the whole economy¹, except for agriculture, forestry and fishing enterprises, stood at 12.1 per cent and, against 2019, decreased by 0.3 percentage points.
____________________
¹ In enterprises with 10 and more employees.

In 2020, the highest gender pay gap was recorded in enterprises engaged in financial and insurance activities – 33.8 per cent, information and communication – 28.8 per cent, human health and social work activities – 27.1 per cent. In enterprises engaged in transportation and storage, as well as construction activities, the women’s average gross hourly earnings exceeded the men’s average gross hourly earnings and therefore the gap was negative and accounted for minus 3.5 and minus 1.8 per cent respectively.

The gender pay gap was influenced by social and economic rather than legal factors – number of men and women in particular economic activity, their occupation, education, age, length of service and other reasons.


Gender pay gap in the whole economy by economic activity, 2020

Created with Highcharts 6.1.4Per cent12.112.113.013.033.833.828.828.827.127.124.124.123.523.515.915.913.713.712.512.512.012.010.910.910.910.910.810.88.88.84.64.63.63.62.52.5-1.8-1.8-3.5-3.5 B–S B–S(–O)KJQCGMISLERNDOBPFH-10010203040

The latest and detailed data are available in the Database of Indicators

 

In 2020, the highest gender pay gap in the whole economy, except for agriculture, forestry and fishing enterprises, as well as public administration and defence; compulsory social security, was recorded in the employees’ age group of 35-44 (17.5 per cent), while the lowest – in the employees’ age group over 65 years (7.6 per cent).

In 2020, the gender pay gap in the whole economy, except for agriculture, forestry and fishing enterprises, as well as public administration and defence; compulsory social security, stood at 13 per cent (in the public sector – 11, in the private sector – 15.7 per cent) and, against 2019, decreased by 0.3 percentage points: in the public sector – by 3, and in the private sector – by 1.3 percentage points.


Gender pay gap by employees’ age, 2019–2020

Created with Highcharts 6.1.4Per cent13.313.311.311.312.912.916.916.99.89.89.59.59.89.813.013.013.613.614.014.017.517.511.011.08.98.97.67.620192020 TotalLess than 25 years25–34 years35–44 years45–54 years55-64 years65 years and more05101520

The latest and detailed data are available in the Database of Indicators

 

In 2019, the gender pay gap in the EU stood at 14.1 per cent and, against 2018, decreased by 0.3 percentage points.

In 2019, the lowest gender pay gap was recorded in Luxembourg (1.3* per cent), Romania (3.3e per cent) and Italy (4.7* per cent), while the highest – in Estonia (21.7* per cent) and Latvia (21.2* per cent).


Gender pay gap in the EU countries², 2019

Created with Highcharts 6.1.4Per cent1.31.33.33.34.74.75.85.87.97.98.58.510.110.110.410.410.610.611.311.311.511.511.611.611.811.811.911.913.313.314.014.014.114.114.614.616.516.516.616.618.218.218.418.418.918.919.219.219.919.921.221.221.721.7Luxembourg* RomaniaᵉItaly*Belgium*Slovenia*Poland*Cyprus*Greece³Portugal*Ireland³Croatia*Malta*Sweden*Spain* Lithuania*DenmarkBulgaria*Netherlands*France*Finland*Hungary⁴SlovakiaCzechia⁵Germany*Austria*Latvia*Estonia*0510152025

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² In enterprises with 10 and more employees, except for agriculture, forestry and fishing enterprises, as well as public administration and defence; compulsory social security.

³ Ireland and Greece – 2018.

⁴ Data is not comparable, break in time series.

⁵ Czechia enterprises with 1 and more employees, except for agriculture, forestry and fishing enterprises, as well as public administration and defence; compulsory social security.

* Provisional data.

ᵉ Eurostat's estimate.

Source: Eurostat's database

 

Composition of gross remuneration by sector, 2020
EUR, thousand

The latest and detailed data are available in the Database of Indicators

 

Photo from Pixabay.com

 

The latest and detailed data are available in the Database of Indicators

 

In 2020, labour costs per hour worked in industrial, construction and service enterprises totalled EUR 9.81 and, against 2019, increased by 7.6 per cent. The increase in labour costs per hour worked was recorded in all enterprises, except the enterprises engaged in accommodation and food service activities where labour costs per hour worked decreased by 3.8 per cent. The largest growth was observed in enterprises engaged in human health and social work (19 per cent), electricity, gas, steam and air conditioning supply (10.3 per cent) activities.

The lowest growth was recorded in enterprises engaged in real estate activities (2.1 per cent), professional, scientific and technical activities (4.8 per cent).

In Lithuania, gross earnings and remuneration in kind per hour worked in industrial, construction and service enterprises (except public administration and defence; compulsory social security) having 10 and more employees were lower than in other EU member states (except Croatia, Poland, Latvia, Hungary and Bulgaria) and amounted to EUR 9.77 in 2020. Earnings in Denmark and Luxembourg exceeded those in Lithuania 4 times, while in Belgium, the Netherlands, Ireland, Germany, Finland, Austria, Sweden and France – approximately 3 times.


Labour costs per hour actually worked and their structure in the whole economy by economic activity, 2019–2020

NACE Rev. 2

Kind of economic activity

 

Labour costs (hourly), EUR

Structure of labour costs, per cent

Gross wages and salaries in cash and in kind

Other labour costs

Total

10 and more employees

Total

10 and more employees

Total

10 and more employees

B–S

Industry, construction and services

2020

9.81

10.22

97.4

97.4

2.6

2.6

2019

9.12

9.5

94.8

94.8

5.2

5.2

B

Mining and quarrying

2020

10.9

11.21

95.4

95.4

4.6

4.6

2019

10.31

10.6

95.6

95.6

4.4

4.4

C

Manufacturing

2020

9.5

9.77

99.3

99.3

0.7

0.7

2019

9.04

9.29

96.6

96.6

3.4

3.4

D

Electricity, gas, steam and air conditioning supply

2020

11.99

12.34

95.9

95.9

4.1

4.1

2019

10.87

11.19

95.2

95.2

4.8

4.8

E

Water supply; sewerage, waste management and remediation activities

2020

9.08

9.18

96.8

96.8

3.2

3.2

2019

8.48

8.57

96.2

96.3

3.8

3.7

F

Construction

2020

8.55

9.1

97.5

97.5

2.5

2.5

2019

7.91

8.42

95.2

95.3

4.8

4.7

G

Wholesale and retail trade; repair of motor vehicles and motorcycle

2020

8.84

9.37

100,0

100,0

0,0

0,0

2019

8.31

8.81

96.1

96.1

3.9

3.9

H

Transportation and storage

2020

9.68

10.12

89.1

89.1

10.9

10.9

2019

9.06

9.47

82.4

82.3

17.6

17.7

I

Accommodation and food service activities

2020

5.77

6.05

112.1

112.1

-12.1

-12.1

2019

6,00

6.29

95.8

95.8

4.2

4.2

J

Information and communication

2020

17.29

19.12

96.2

96.2

3.8

3.8

2019

15.97

17.65

95.8

95.7

4.2

4.3

K

Financial and insurance activities

2020

17.49

18.12

93.7

93.7

6.3

6.3

2019

16.63

17.23

93.9

93.9

6.1

6.1

L

Real estate activities

2020

7.86

9.19

98.6

98.6

1.4

1.4

2019

7.7

9.01

95.9

95.9

4.1

4.1

M

Professional, scientific and technical activities

2020

11.66

13.94

97,0

97,0

3,0

3,0

2019

11.13

13.31

96.1

96.1

3.9

3.9

N

Administrative and support service activities

2020

8.2

8.31

99.9

99.9

0.1

0.1

2019

7.6

7.7

97.6

97.5

2.4

2.5

O

Public administration and defence; compulsory social security

2020

12.02

12,00

95.8

95.8

4.2

4.2

2019

11.14

11.13

95.4

95.3

4.6

4.7

P

Education

2020

9.29

9.36

96.6

96.6

3.4

3.4

2019

8.65

8.72

96.4

96.4

3.6

3.6

Q

Human health and social work activities

2020

11.63

11.7

98,0

98,0

2,0

2,0

2019

9.77

9.83

96.9

96.9

3.1

3.1

R

Arts, entertainment and recreation

2020

7.76

7.97

99.5

99.5

0.5

0.5

2019

7.12

7.31

96.7

96.7

3.3

3.3

S

Other service activities

2020

7.37

8.63

102.2

102.2

-2.2

-2.2

2019

6.76

7.92

97,0

96.9

3,0

3.1

The latest and detailed data are available in the Database of Indicators

 

Photo from Pixabay.com

In 2020, low wage trap indicator of the one-earner married couple with two children stood at 77.9 per cent, a single person without children – 42.2 per cent. This indicator shows the share of individual income tax and social security contributions payable by an employee in gross earnings when the gross earnings of the employee increase from 33 to 67 per cent of average gross earnings in the business sector of the economy and the employee loses social benefits. In case of high low wage trap indicator, employed persons lose quite a considerable share of earned income after taxes and social benefits, which potentially results in the decrease of motivation to work more working hours or search for a better paid job.


Low wage trap

Created with Highcharts 6.1.4Per cent26.426.426.526.526.726.726.826.827.127.127.327.327.427.425.825.841.641.642.242.292.492.485.085.085.285.282.982.977.077.060.260.242.742.772.572.579.079.077.977.9Single person without childrenOne-earner married couple, with two children20112012201320142015201620172018201920200255075100

The latest and detailed data are available in the Database of Indicators

 

Low wage trap in the EU countries, 2020
Single person without children, 100% of AW

Created with Highcharts 6.1.4Per cent10.310.320.420.422.422.423.423.426.026.026.526.528.528.529.529.530.230.231.031.031.131.131.431.432.932.933.533.534.034.034.734.738.138.138.638.638.838.842.042.042.242.243.943.944.344.346.346.349.349.349.649.651.651.658.458.4CyprusEstoniaBulgariaGreeceCroatiaSpainSwedenPolandIrelandSlovakiaCzechiaMaltaPortugalHungaryLatviaFinlandItalySlovenia EU 27Austria LithuaniaGermanyRomaniaFranceNetherlandsDenmarkLuxembourgBelgium020406080

Source: Eurostat's database

 

In 2020, in Lithuania, unemployment trap indicator stood at 86.1 per cent and, against 2019, decreased by 1.3 percentage points. This indicator shows the share of individual income tax and social security contributions payable by an employee in gross earnings when returns to employment, after being unemployed for a long time, and loses the social benefits. When the unemployment trap is high, it shows a low motivation of employee to join the labour market, in case of losing socials benefits and loosing part of gross earnings due to paid taxes. In 2020, the highest unemployment trap was recorded in Belgium (93 per cent), Luxembourg (92 per cent), Denmark (88.4 per cent), while the lowest – in Greece, Estonia and Slovakia (30.5, 31.4 and 45.5 per cent respectively). Average of the EU countries stood at 73.5 per cent.


Unemployment trap

Created with Highcharts 6.1.4Per cent68.568.566.666.664.464.461.561.581.681.679.579.588.388.386.886.887.487.486.186.12011201220132014201520162017201820192020020406080100

The latest and detailed data are available in the Database of Indicators

 

Unemployment trap in the EU countries, 2020

Created with Highcharts 6.1.4Per cent30.530.531.431.445.545.550.150.154.754.755.855.864.464.470.670.671.471.471.571.573.173.173.573.573.573.574.074.077.577.577.977.980.280.280.480.480.580.580.980.982.182.182.482.482.482.483.083.086.186.188.488.492.092.093.093.0GreeceEstoniaSlovakiaMaltaRomaniaIrelandCyprusAustriaFrancePolandGermany EU 27FinlandItalyHungarySwedenNetherlandsPortugalSloveniaCzechiaSpainBulgariaCroatiaLatvia LithuaniaDenmarkLuxembourgBelgium0255075100

Source: Eurostat's database

 

Photo from Unsplash.com

In 2020, the highest tax wedge on labour costs was recorded in Germany (45 per cent), Belgium (44.1 per cent), Hungary (43.6 per cent), and the lowest – in Cyprus (18.1 per cent), Ireland (24.1 per cent), Malta (28.1 per cent). In Lithuania, tax wedge on labour costs over the year decreased by 1.3 percentage points and stood at 33.5 per cent in 2020.


Tax wedge on labour costs

Created with Highcharts 6.1.4Per cent38.938.939.139.139.439.438.938.939.239.238.938.937.837.837.237.234.834.833.533.5201120122013201420152016201720182019202001020304050

The latest and detailed data are available in the Database of Indicators

 

Tax wedge on labour costs in the EU countries, 2020

Created with Highcharts 6.1.4Per cent45.045.044.144.143.643.642.742.741.641.640.540.540.140.140.040.040.040.039.339.338.838.838.338.338.138.137.137.135.835.835.335.334.934.934.634.634.134.134.034.033.533.533.133.132.432.429.929.929.029.028.128.124.124.118.118.1GermanyBelgiumHungaryAustriaCzechiaSwedenSloveniaFranceItaly EU 27SlovakiaRomaniaLatviaPortugalSpainGreeceBulgariaFinlandPolandCroatia LithuaniaEstoniaDenmarkLuxembourgNetherlandsMaltaIrelandCyprus01020304050