Archive:Employment - quarterly statistics

Data extracted in October 2021

Planned article update: January 2022

Highlights

In the second quarter of 2021, half of employed young people worked under temporary contract in the EU.

Across EU Member States, almost 7 in 10 people with a low educational attainment level were employed in Portugal against less than 3 in 10 in Slovakia in the second quarter of 2021.

Gender gap in EU employment was the lowest among native-born people with mixed and foreign background (6 p.p. and 8 p.p.) and exceeded 10 p.p. among native-born with native background and foreign-born people in the second quarter of 2021.

Temporary contracts by country, Q2 2021
(in % of total employees aged 20-64, seasonally adjusted data)
Source: Eurostat (lfsi_pt_q)

The second quarter of 2021 marked an important phase in the recovery of the European economy and labour market. This is the beginning of the general reduction of distancing measures generated by the health crisis due to the COVID-19 pandemic. Many EU Member States announced the end, partially or entirely, of financial assistance to businesses to mitigate the negative effects of the COVID-19 crisis on employment and businesses. In the second quarter, the rebound of the economy was initiated and clearly visible in the development of employment in comparison with the first quarter of 2021.

This article gives an overview of employment at EU level, as well as at national level in the individual Member States, three EFTA countries (Iceland, Norway and Switzerland) and one candidate country (Serbia), focusing on the two first quarters of 2021. The results come from the European Union Labour Force Survey (EU-LFS). It also provides, for the first time, an insight into the quarterly results collected on the employment of the first and second generations of migrants. Furthermore, this article depicts employment in general and specifically by gender, age and level of educational attainment. A complementary analysis in this article focuses on temporary contracts and part-time work in the second quarter of 2021. This article ends with an overview of the employment of the first and second generation of migrants based on a new set of quarterly indicators.

This article is part of the publication Labour market in the light of the COVID-19 pandemic.

Note: Please note that figures presented in this article may differ in some cases from the source data due to continuous revision of the Eurostat database (Employment and unemployment (Labour Force Survey)).

Full article

Employment in an upward trend, specifically for women aged 25 to 54

In the EU, employment of women aged 25 to 54 increased by 1.2 p.p., the highest increase recorded from Q1 2021 to Q2 2021

In the second quarter of 2021, the share of employed people in the total population aged 20 to 64 reached 72.8 %, recording an increase of 0.7 percentage points (p.p.) from the previous quarter (see Figure 1). The total employment rate masks a significant difference between men and women. While 78.3 % of men aged 20-64 were employed, the employment rate of women was 67.2 %. Therefore, the gender gap was 11.1 p.p. in the second quarter of 2021.

In the EU, slightly less than 1 in 3 young people aged 15 to 24 were employed (32.3 %). The male employment rate in this age group was 34.9 % against 29.6 % for women. The gender gap was narrower for young people (5.3 p.p.) than for the reference population (aged 20-64). Employment of men and women increased to the same extent between the first and the second quarter of 2021 (+0.9 p.p. for both). In the second quarter of 2021, young employed people accounted for 7.7 % of the total employment aged 15 to 64.
Around 8 in 10 people aged 25 to 54 were employed in the EU in the second quarter of 2021 (80.3 %). The employment rate of men was 85.7 % and 74.8 % for women, showing a difference of 10.9 p.p. between men and women aged 25 to 54. The employment rate of women increased by 1.2 p.p. against 0.8 p.p. for men between the first and the second quarter of 2021. People aged 25 to 54 corresponded to 73.4 % of the total employment aged 15 to 64 in the same period.
The lowest increases between the two quarters were registered among people aged 55 to 64, the share of employed men and of employed women both increased by 0.6 p.p. to reach 66.7 % and 54.0 % respectively. Employed people in this age group also show the largest gender gap compared to the other two groups with a difference between men and women of 12.7 p.p. Employed people aged 55 to 64 represented almost one fifth of the total employment aged 15 to 64 (18.9 %).

Figure 1: Employment rate by sex and age group in the EU, Q1 and Q2 2021
(in % of the total population, seasonally adjusted data)
Source: Eurostat (lfsi_emp_q)

Employment increased in 25 out of 27 EU Member States from Q1 2021 to Q2 2021

In order to provide an overview of employment at national level, Figure 2 presents the employment rate of people aged 20 to 64 by country and sex in the second quarter of 2021. This figure clearly shows that the employment rates are not homogeneous across the EU, firstly between countries and secondly between men and women in many EU Member States. In the Netherlands and in Sweden, more than 8 in 10 people aged 20 to 64 were employed (82.0 % and 80.8 %, respectively) while the share of employed people stood below 70 % in Greece (61.2 %), Italy (62.0 %), Romania (66.8 %), Spain (67.2 %) and Croatia (67.8 %).

From the first to the second quarter of 2021, the highest increases were reported in Slovenia (+2.8 p.p.), Greece (+2.1 p.p.), Belgium and Luxembourg (both +1.5 p.p.). Substantial increases, of more than 1 p.p., were found in Sweden, Finland, Portugal and Ireland. The share of employed people also increased in France, Cyprus, Czechia, Bulgaria and Austria but to a lesser extent: the increases in these countries did not exceed 0.5 p.p. Only in two EU Member States (i.e. Estonia and Romania), the employment rate decreased from the first to the second quarter of 2021 (-1.4 p.p. and -0.3 p.p.).

The highest employment rate registered among men in Czechia

In all EU countries, the share of employed men was higher than the share of employed women. Although the three widest gender gaps in employment are observed among countries with the lowest employment rates, this relationship between both is not seen in all countries. The largest differences between the employment rate of men and women were found in Romania, Italy, Greece, Malta and Czechia, all showing a gender gap exceeding 15 p.p., Czechia and Malta showing relatively high employment rates, 79.4 % and 78.0 % respectively. In contrast, Estonia, Latvia, Finland and Lithuania recorded the narrowest gaps between men and women, all below 5 p.p. Czechia, the Netherlands and Malta reported the highest employment rates of men with respectively 87.1 %, 86.0 % and 85.8 % while the highest female employment rates in the second quarter of 2021 were 78.2 % in Sweden, 78.0 % in the Netherlands and 76.3 % in Lithuania.

Figure 2: Employment rate by sex and country, Q2 2021
(in % of the total population aged 20-64, seasonally adjusted data)
Source: Eurostat (lfsi_emp_q)

Around half of people with a low educational level in employment

Slovakia, Romania, Poland and Bulgaria recorded the largest employment differences between people with a low and a high educational attainment level in Q2 2021

Another way of looking at employment according to the educational attainment level is to show the distribution of people in employment and in the total population according to the level of education as displayed in Figure 3. The objective here is to investigate if there are differences regarding the level of education in the employed population compared to the total population (employed and not employed). Figure 3 presents this distribution for both men and women and for the total. In the whole population aged 20 to 64, around 1 in 5 persons had a low educational attainment level (20.3 %) but among employed people, only 15.0 % had a low educational attainment level, so this category seems under-represented in the employed population. The low educational attainment level refers to the attainment of lower secondary education, at most. With respect to people with a medium educational attainment level (corresponding to at most upper secondary or post-secondary non-tertiary education), they show approximately the same proportion in the population as well as in employment, 47.9 % against 47.6 %. People with a high level of educational attainment level, i.e. tertiary education, accounted for 31.7 % of the total population but for 37.4 % of total employment.

The largest differences were found among women with a low and a high level of education. The share of women with a low level of education in the female population was 19.4 % but they accounted only for 12.3 % of employed women. At the opposite end of the scale, more than 40 % (42.5 % exactly) of employed women had a high level of education but compared to the total female population, they accounted for slightly more than one third (34.4 %).

Figure 3: Comparison of the share of people by education level in total employment and in the population, EU, Q2 2021
(in %, people aged 20-64, seasonally adjusted data)
Source: Eurostat (lfsi_educ_q)

At EU level, the employment rate of people with a low level of education is 54.3 %, 72.4 % among people with a medium level of education and 84.8 % for people with a high level of education. In fact, the EU countries show very disparate employment rates for people with a low educational attainment level. More than 60 % of people with a low educational attainment level were employed in Portugal (68.7 %), the Netherlands (66.2 %), Malta (64.8 %), Cyprus (63.8 %), Germany (61.1 %), Luxembourg (60.6 %) and Estonia (60.3 %), but less than 45 % in Slovakia (25.3 %), Romania (41.7 %), Croatia (43.4 %) and Belgium (43.8 %). The largest differences between the share of employed people with a high and a low educational attainment level were found in Slovakia (59.8 p.p.), Romania (47.0 p.p.), Poland (43.4 p.p.), Bulgaria (43.0 p.p.), Croatia (40.9 p.p.) and Belgium (40.4 p.p.). Based on the most recent data, people aged 25-64 with a low education attainment level are more likely to be aged between 55 and 64 than people with a higher level of education. Indeed, people between 55 and 64 years old accounted for more than one third (34.2 %) of people aged 25 to 64 with a low level of education against one fourth (25.6 % %) for the population regardless of the level of education.

Figure 4: Employment rate by education level and country, Q2 2021
(in % of the total population aged 20-64, seasonally adjusted data)
Source: Eurostat (lfsi_educ_q)

Prevalence of temporary contracts among young employed people, part-time among women

Nearly one quarter of employed people in Spain and in the Netherlands had a temporary contract in Q2 2021

One relevant finding in the second quarter of 2021 refers to the share of temporary contracts (see Figure 5). Temporary contracts accounted for 13.0 % of employees in the EU. This share reached 24.7 % in Spain and 23.1 % in the Netherlands which means that almost 1 in 4 employees aged 20-64 were employed with a temporary contract in these two countries. The lowest shares were observed in Estonia (1.7 %), Lithuania (1.9 %), Romania and Latvia (both 2.4 %), Bulgaria (3.2 %) and in Slovakia (3.7 %). No clear link is visible between the level of employment and the share of temporary contracts in a country (see the attached Excel file for further details).

Figure 5: Temporary contracts by country, Q2 2021
(in % of total employees aged 20-64, seasonally adjusted data)
Source: Eurostat (lfsi_pt_q)

However, the disparity between the different age groups is very high. Almost 1 in 2 employees aged 15 to 24 (49.0 %) had a temporary contract, 11.9 % for people aged 25 to 54 and 6.3 % for people aged 55 to 64. Furthermore, the latest quarterly results show that the share of temporary contracts among young people (aged 15-24) is quite specific across countries. For example, it equals or exceeds 60 % in Spain, which recorded the highest share with 69.4 %, the Netherlands (66.6 %), Slovenia (64.7 %), Italy (61.7 %) and Portugal (60.0 %) while temporary contracts amounted to less than 15 % in Bulgaria (8.5 %), Lithuania (8.7 %), Romania (8.8 %), Hungary (13.2 %), Slovakia (13.5 %) and Malta (14.7 %).

Figure 6: Share of employees with temporary contract by age group and country, Q2 2021
(in % of total employees, seasonally adjusted data)
Source: Eurostat (lfsi_pt_q)

More than 1 in 4 men working part-time would like to work more, this share drops to less than 1 in 6 among women working part-time

In all EU countries, more women than men tended to work part-time, Romania was the only exception. In the EU, 28.4 % of employed women worked part-time but only 7.6 % of men in the second quarter of 2021. 15.9 % of women working part-time wanted to work more hours while this percentage was 25.6 % for part-time working men. Figure 7 shows the share of men and women working part-time as well as the share of underemployed part-time workers in the total male and female employment. For women, the highest shares of employed women working part-time were observed in the Netherlands (62.7 %), in Austria (49.9 %), Germany (48.0 %), Belgium (38.5 %) and Italy (31.3 %) while less than 5 % of employed women worked part-time in Bulgaria (1.6 %), Romania (2.6 %) and Slovakia (4.7 %). Regarding employed men, the highest shares of part-time workers in total employment were recorded in the Netherlands (17.6 %), Denmark (11.6 %), Sweden (11.2 %), Austria (10.8 %), Belgium (10.2 %) and Germany (10.1 %).

Among part-time working men, more than half wanted to work more in Greece (66.0 %), Cyprus (58.8 %), Spain (56.8 %) and Croatia (53.3 %) but less than one fifth in the Netherlands, Slovenia, Denmark, Austria, Germany and Czechia. Among female part-timers, more than 40 % wanted to work more in Greece (54.4 %), Cyprus (47.8 %), Spain (46.2 %) and Croatia (42.9 %) while it was less than 10 % of part-time working women in Austria, Germany and Czechia.

Figure 7: Share of employed people working part-time and underemployed part-time workers by country, Q2 2021 (in % of total employment, people aged 20-64, seasonally adjusted data
Source: Eurostat (lfsi_pt_q)

First and second generation of migrants: education as a critical factor for employment

Starting from the first quarter of 2021, the EU-LFS provides quarterly indicators on the employment of the second generation of migrants. However, unlike the first sections of this article, data is not seasonally adjusted, meaning that no corrections regarding the volatility due to seasonal effects have been applied. The concept of migration used in this section is explained in a diagram here and at the bottom of this article in written form (see 'definitions').

Figure 8: Employment rate by migration status, education level and sex, Q2 2021, EU
(in % of the total population aged 20-64, not seasonally adjusted data)
Source: Eurostat (lfsq_erganedm)

At EU level, the employment rate varied quite significantly according to the migration status (see Figure 8). The highest employment rate was recorded for the native-born people with mixed background. Indeed, slightly more than three quarters were employed in the second quarter of 2021 (75.1 %). They were closely followed by the native-born people with native background who recorded an employment rate of 74.7 %. The native-born people with foreign background had an employment rate of 71.0 % in the second quarter of 2021. Around two thirds of foreign-born people (66.5 %) were employed in the same period.

Regardless of the migration status, the share of employed men was always higher than the share of employed women but the difference varied according to the migration status. The widest gender gap was reported by the foreign-born people (16.9 p.p.) as a result of a male employment rate of 75.2 % versus a female employment rate of 58.3 %. Ranking second were the native-born people with native background with a gap of 10.4 p.p. The second generation of migrants had the narrowest gender gaps: the native-born people with foreign background recorded a difference of 7.6 p.p. between the employment rate of men and women and the native-born people with mixed background showed the smallest gender gap with a difference of 5.8 p.p. Based on 23 EU Member States for which data on native-born people with native and mixed background is available, the majority of countries (18 exactly) do not follow the EU pattern. In most of countries, the highest employment rate was recorded for the native-born people with native background, followed by some of the other categories of migration status, as shown in Figure 9.

Figure 9: Employment rate of native-born people with native, mixed and foreign background and of foreign-born people by country, Q2 2021
(in % of the total population aged 20-64, not seasonally adjusted data)
Source: Eurostat (lfsq_erganedm)

This basic description of the employment rate is here below complemented by the employment rate and the share of people by educational attainment level for each migration status.

Considering people with a low educational attainment level, the foreign-born people registered the highest employment rate (56.0 %) in the second quarter of 2021, followed by the native-born people with mixed background (55.7 %), the native-born people with native background (53.5 %) and the native-born with foreign background (53.2 %). However, this pattern is not observed in people with a medium or a high level of education, which deviates substantially. Among people with a medium or a high educational attainment level, the native-born people with native background had the highest employment rate for both categories (73.8 % for the medium level of education and 87.4 % for the high level of education). They were followed by the native-born people with mixed background with 71.4 % and 86.1 % respectively, by the native-born people with foreign background (70.3 % and 83.7 %) and finally, by the foreign-born people which employment rate was 68.0 % for the medium level and 76.6 % for the high level.

The total employment rate of migration category is also impacted by the share of people having attained a certain level of education. It can be noticed that one third of foreign-born people (33.6 %) had a low level of education, this is more than the double of the share of the native-born people with mixed background who had attained a low level of education (12.0 %). This high share of people with a low level of education impacts consequently the total employment rate of the foreign-born people. By contrast, more than one third of the native-born people with mixed background (37.7 %) had a high level of education which is substantially more than the other categories. Given people with a high level of education are more likely employed, this may impact positively on the total employment rate of this category (see Figure 10).

The widest gender gaps were reported by people with a low level of education especially among foreign-born people and native-born people with native background, both having differences in the employment rate of men and women of more than 20 p.p. (respectively, 24.4 p.p. and 22.5 p.p.).

Based on more detailed LFS data collected in the past, migrants having a foreign background with EU or non EU origins would likely record different results with respect to their employment rate. However, current quarterly data do not include such detailed information. The publication on First and second-generation immigrants - statistics on labour market indicators presents some 2014 employment indicators according to this criteria.

Figure 10: Share of people by education level, migration status and sex, EU, Q2 2021
(in % of the total population aged 20-64, not seasonally adjusted data)
Source: Eurostat (lfsq_pganedm)

Source data for tables and graphs

Employment (general) Q2 2021: tables and figures

Data sources

All figures in this article are based on seasonally adjusted quarterly results from the European Union Labour Force Survey (EU-LFS) except for the last section on the first and second generations of migrants.

Source: The European Union Labour Force Survey (EU-LFS) is the largest European household sample survey providing quarterly and annual results on labour participation of people aged 15 and over as well as on persons outside the labour force. It covers residents in private households. Conscripts in military or community service are not included in the results. The EU-LFS is based on the same target populations and uses the same definitions in all countries, which means that the results are comparable between countries.

European aggregates: EU refers to the sum of the 27 EU Member States.

Country notes:

In Germany, the whole microcensus has been used to estimate a restricted set of indicators from the first quarter of 2020 for the production of LFS Main Indicators. These estimates have been used for both the publication of German results and the calculation of EU and EA aggregates. By contrast, EU and EA aggregates published in the detailed quarterly results (showing more and different breakdowns than the LFS Main Indicators) have been computed using only available data from the LFS subsample. As a consequence, small differences in the EU and EA aggregates in tables from both collections may be observed. For more information, see here. In 2021 Q1 only, data of one federal region, Bremen, is not included in the estimates, but national estimates are reweighted to respect population margins.
Spain and France have assessed the attachment to the job and included in employment those who have an unknown duration of absence but expect to return to the same job once the COVID-19 measures in place are lifted.

Definitions:

The concepts and definitions used in the Labour Force Survey follow the guidelines of the International Labour Organisation (ILO).

The migration status distinguishes between native-born people and migrants, and between the first and second generation migrants. Migrants are persons who established their usual residence in another country than they were born, for a period that is – or is expected to be – at least 12 months. The usual residence means the place at which a person normally spend the daily period of rest, regardless of temporary absence for purposes of recreation, holidays, visits to friend and relatives, business, medical treatment or religious pilgrimage or, by default, the place of legal or registered residence. Second-generation migrants refer to two different groups of immediate descendants of migrants. The first group, with a mixed background, is defined as persons who are born in the country of interview (native-born) and who have one foreign-born parent and one native-born parent. The second group, with a foreign background, is defined as persons who are native-born, with both parents being foreign-born.

Different articles on detailed technical and methodological information are linked from the overview page of the online publication EU Labour Force Survey.

Seasonally adjustment models: The methodological choices of Eurostat in terms of seasonal adjustment in the COVID period are summarised in the methodological paper: "Guidance on time series treatment in the context of the COVID-19 crisis". These choices assure the quality of the results and the optimal equilibrium between the risk of high revisions and the need for meaningful figures, as less as possible affected by random variability due to the COVID shock.

Context

The COVID-19 pandemic hit Europe in January and February 2020, with the first cases confirmed in Spain, France and Italy. COVID-19 infections have been diagnosed since then in all European Union (EU) Member States. To fight the pandemic, EU Member States have taken a wide variety of measures. From the second week of March 2020, most countries closed retail shops, with the exception of supermarkets, pharmacies and banks. Bars, restaurants and hotels were also closed. In Italy and Spain, non-essential production was stopped and several countries imposed regional or even national lock-down measures which further stifled economic activities in many areas. In addition, schools were closed, public events were cancelled and private gatherings (with numbers of persons varying from 2 to over 50) banned in most EU Member States.

The majority of the preventive measures were initially introduced during mid-March 2020. Consequently, the first quarter of 2020 was the first quarter in which the labour market across the EU was affected by COVID-19 measures taken by Member States.

In the following quarters of 2020, as well as 2021, the preventive measures against the pandemic were continuously lightened and re-enforced in accordance with the number of new cases of the disease. New waves of the pandemic began to appear regularly (e.g. peaks in October-November 2020 and March-April 2021). Furthermore, new strains of the virus with increased transmissibility emerged in late 2020, which additionally alarmed the health authorities. Nonetheless, as massive vaccination campaigns started all around the world in 2021, people began to anticipate improvement of the situation regarding the COVID-19 pandemic.

The quarterly data on employment allows to regularly report on the impact of the crisis due to the COVID-19 pandemic on employment. This specific article depicts employment in general and specifically by gender, age and level of educational attainment; it moreover provides results on the temporary contracts and part-time work and presents for the first time quarterly employment rates for the first and second generations of migrants. Another article focuses on the employed people and job starters by sector of economic activity and occupation.

Please note that in this exceptional context of the COVID-19 pandemic, employment and unemployment as defined by the International Labour Organisation (ILO) are not sufficient to describe the developments taking place in the labour market. In the first phase of the crisis, active measures to contain employment losses led to absences from work rather than dismissals, and individuals could not look for work or were not available due to the containment measures, thus not counting as unemployed. Only referring to unemployment might consequently underestimate the entire unmet demand for employment, also called the labour market slack, which is further analysed, with namely the evolution of the total volume of working hours, in the publication Labour market in the light of the COVID-19 pandemic.