Archive:European Neighbourhood Policy - East - labour market statistics

Data extracted in December 2017. Most recent data: Further Eurostat information, Main tables and Database. Planned article update: February 2019.

This article is part of an online publication; it presents information on a range of labour force statistics for the European Union (EU) and in the six countries that together form the European Neighbourhood Policy-East (ENP-East) region, namely, Armenia, Azerbaijan, Belarus, Georgia, Moldova and Ukraine. Note that data shown in this article for Georgia exclude the regions of Abkhazia and Tskhinvali region/South Ossetia over which the government of Georgia does not exercise effective control, and data for Moldova exclude areas over which the government of the Republic of Moldova does not exercise effective control. The latest data for Ukraine generally exclude the territories which are not under effective control of Ukrainian government and the illegally annexed Autonomous Republic of Crimea and the City of Sevastopol (see specific footnotes for precise coverage).

The article presents a range of labour market indicators such as activity rates, employment rates, an analysis of employment by economic activity and professional status, and statistics on unemployment.

Figure 1: Activity rates
(persons aged 15-64), 2016
(% of total population)
Source: Eurostat (lfsi_emp_a)

Figure 2: Gender gap for employment rates
(persons aged 15-64), 2006 and 2016
(percentage points difference, male employment rate - female employment rate)
Source: Eurostat (lfsi_emp_a) and (enpr_pslm)

Table 1: Analysis of employment
(persons aged 15 or more) by economic activity, 2006 and 2016
(% of total employment)
Source: Eurostat (lfsa_egana) and (lfsa_egan2)

Table 2: Analysis of employment
(persons aged 15 or more) by working status, 2006-2016
(% of total employment)
Source: Eurostat (lfsa_egaps)

Table 3: Unemployment rates
(persons aged 15-74), 2006-2016
(% of labour force)
Source: Eurostat (lfsa_urgan)

Table 4: Long-term unemployment rates
(persons aged 15-74), 2006-2016
(% of labour force)
Source: Eurostat (une_ltu_a)

Table 5: Employment and unemployment rates, 2006, 2011 and 2016
(%)
Source: Eurostat (lfsa_ergan), (une_rt_a) and (enpr_pslm)

Main statistical findings

Activity rates

Moldova stood out from the other ENP-East countries due to its relatively low activity rates

The proportion of the male population aged 15-64 across the EU-28 that was economically active (in other words, in work or actively seeking work and available to start work) stood at 78.6 % in 2016, while the corresponding rate for women was 67.3 %.

With the exception of Moldova (48.8 %), more than 70 % of the male population in each of the ENP-East countries was economically active in 2016. Georgia (83.1 %) and Belarus (80.5 %) recorded activity rates for men that were above the EU-28 average (see Figure 1).

Male activity rates were systematically higher than those recorded for women, both for the EU-28 and across all of the ENP-East countries. The gender gap in activity rates ranged from 3.1 percentage points in Moldova to 19.4 percentage points in Georgia; the corresponding gap was 11.3 percentage points in the EU-28.

Female activity rates for four of the six ENP-East countries were lower than the EU-28 average (72.9 %) in 2016; the two exceptions were Belarus (77.5 %) and Georgia (73.1 %). Moldova recorded the lowest female activity rate among the ENP-East countries (45.7 %) — repeating the pattern observed for men — and was the only ENP-East country where less than half of all men and women aged 15-64 were economically active.

Employment rates

The gender gap for employment rates in the ENP-East countries was higher in Armenia and Georgia than across the EU

The gender gap for EU-28 employment rates — among people aged 15-64 — decreased during the period 2006-2016. However, the EU-28 male employment rate (71.8 %) remained considerably higher than the corresponding rate for women (61.3 %) in 2016, despite the gap having fallen from 14.3 percentage points in 2006 to 10.5 points by 2016 (see Figure 2).

Among the ENP-East countries, the gender gap (between male and female employment rates) in 2016 was lowest in Moldova (1.7 percentage points), while Belarus, Azerbaijan and Ukraine also recorded gaps that were smaller than the EU-28 average. By 2016, the gender gap had narrowed slightly to 12.9 percentage points in Georgia and fallen rapidly to 14.9 percentage points in Armenia; nevertheless both of these ENP-East countries recorded gender gaps that were above the EU-28 average.

The narrowing gender gap in Armenia reflected a rapidly increasing female employment rate that rose from 33.1 % in 2006 to close to half (45.3 %) of the female working-age population in 2016. The gender gap also narrowed in all of the other ENP-East countries; it should be noted that the large change in Belarus reflects, at least in part, a major methodological change..

Analysis of employment by economic activity

Agriculture, forestry and fishing accounted for a relatively high — but generally falling — share of total employment in many of the ENP-East countries

Table 1 shows an analysis of the structure of employment for 2006 and 2016. Within the EU-28, services accounted for 71.6 % of those employed (aged 15 or more) in 2016. The share of services within total employment rose over the most recent 10-year period for which data are available, gaining just over 5 percentage points.

In most of the ENP-East countries, services also accounted for the largest proportion of the workforce, albeit with considerably lower shares than in the EU-28, and for an increasing share of the workforce. Indeed, services employed the highest share of total employment among all ENP-East countries except for Georgia, where the share for agriculture, forestry and fishing was higher. In 2016, services accounted for more than half of all those employed in the economies of Ukraine, Belarus and Armenia, while the shares in Azerbaijan and Moldova were only slightly less than half.

High shares of the workforce in agriculture, forestry and fishing were recorded in Georgia, Azerbaijan, Moldova and Armenia; agriculture, forestry and fishing was the second largest employer in each of these countries apart from Georgia where it was the largest. As such, Belarus and Ukraine were the only ENP-East countries to record a distribution of employment across economic activities that broadly resembled the structure of the workforce in the EU-28 in so far as the largest shares of the workforce were in services and industry. However, in these two countries the share of the workforce in construction was smaller than that in agriculture, forestry and fishing, whereas the reverse situation was observed for the EU-28.

A comparison of the structure in 2006 with that in 2016 is available for five of the ENP-East countries and this shows a general fall in the share in agriculture, forestry and fishing activities (although not in Moldova), a rise in the share in services, and more mixed developments for industry and construction. There was a rapid restructuring of the labour market in Ukraine between 2006 and 2016, although this may in part reflect a change in geographical coverage. The proportion of those working in agriculture, forestry and fishing activities fell strongly, as did the share in industry to a lesser extent, while the share of the workforce employed in services rose greatly and in construction more moderately.

Analysis of employment by professional status

Self-employed and family workers occupied close to one out of every six jobs in the EU-28 in 2016; employees accounted for the remainder of the workforce (see Table 2). The relative share of the self-employed and family workers in total employment in the EU-28 fell 1.3 percentage points between 2006 and 2016, with small increases in 2009 and 2010 more than offset by relatively large falls in 2008, 2015 and 2016 and smaller falls in other years.

The structure of employment by working status was quite different in most of the ENP-East countries. The relative importance of self-employed and family workers rose to a high of 57.6 % of the total workforce in Georgia and was also over one third in Armenia (42.0 %) and Moldova (37.0 %). These high figures reflect, to some degree, the relative weight of agricultural activities in these countries, with work spread across numerous small-scale, family-run farms and cooperatives. By contrast, the structure of employment in Ukraine (the largest of the ENP-East countries) closely resembled that observed in the EU-28.

Unemployment rates

Male, youth and long-term unemployment appear to be more susceptible to cyclical economic changes than overall unemployment. Indeed, social policymakers often face the challenge of remedying these situations by designing ways to increase employment opportunities for various groups of society, those working in particular economic activities, or those living in specific regions.

When there is an economic downturn, it usually takes several months before the unemployment rate begins to rise. Once the economy starts to pick up again, employers usually remain cautious about hiring new workers and there may again be a lag of several months before unemployment rates start to fall. While the largest contractions in economic activity were recorded in 2009 (as a result of the global financial and economic crisis), it was not uncommon for unemployment rates to increase not just in 2009 but also in 2010. In fact, the EU-28’s unemployment rate rose from a low of 7.0 % in 2008 to peak at 10.8 % in 2013, before falling in each of three consecutive years to 8.6 % in 2016 (see Table 3).

Azerbaijan recorded a relatively low unemployment rate and an uninterrupted decline in its unemployment rate over the period 2006-2014, with a small increase recorded in 2015 and stability in 2016. The labour markets of the remaining ENP-East countries for which comparable data are available (data for Belarus from 2006-2015 are not considered comparable as they are based upon registered unemployment, whereas 2016 data are based on a survey) were more affected by the global financial and economic crisis as their unemployment rates peaked in 2009 or 2010, after which there were signs that the labour market was moving to a more balanced position. In Armenia and Ukraine (in both of which the age coverage diverges somewhat from the 15-74 years standard), this situation reversed in 2014 when the unemployment rate rose again, while Armenia and Moldova both recorded increases in their unemployment rates in 2015.

The data available for 2016 show there were considerable differences in the latest annual unemployment rates of the ENP-East countries: rates in Armenia, Georgia and Ukraine were at a higher level than in the EU-28; rates in Belarus and Azerbaijan were between one half and two thirds the rate in the EU-28; the rate in Moldova was less than half the rate in the EU-28.

One in eight economically active women in Armenia had been unemployed for more than a year

Long-term unemployment is often viewed as a key indicator by policymakers, because it provides information in relation to structural weaknesses that may affect social cohesion and, ultimately, economic growth. The long-term unemployment rate in the EU-28 in 2016 was 3.9 % of the male labour force and 4.0 % of the female labour force — see Table 4.

In 2016, the long-term unemployment rate was lower than the EU-28 average in several of the ENP-East countries (note again that the data presented for Belarus for 2006-2015 are not considered as comparable as they are based upon registered unemployment). Particularly low rates were recorded in Belarus and Moldova (less than 2.0 % for both men and women). The level of long-term unemployment was also below the EU-28 average in Ukraine (persons aged 15-70) for both men and women, while it was lower for men (but not for women) in Azerbaijan. By contrast, long-term unemployment rates for both men and women were above the EU-28 average in Georgia and Armenia; the share of the female labour force that had been unemployed for more than 12 months was particularly high in Armenia where it was over 10.0 % for both men and women.

Youth unemployment rates were between two and three times as high as the unemployment rate for the whole population in the EU-28 and the ENP-East countries

Table 5 provides a summary of developments in labour markets with data for 2006, 2011 and 2016. Aside from long-term unemployment rates, another indicator that has received a great deal of attention in recent years is the youth unemployment rate. More than one fifth (21.7 %) of the EU-28’s labour force aged 15-24 was without work in 2011, but this had fallen to 18.7 % by 2016; nevertheless this remained more than double the rate (8.6 %) for the whole labour force.

Across the ENP-East countries, youth unemployment rates were also consistently higher than overall unemployment rates. The difference was least marked in Belarus, where the youth unemployment rate was 10.7 % in 2016, less than double the 5.8 % rate for the population as a whole. In the five other ENP-East countries, the youth unemployment rate was between 2.0 and 2.7 times as high as the overall rate. The highest youth unemployment rates in the ENP-East countries in 2016 were in Armenia, Georgia and Ukraine, all above the rate in the EU-28, while the lowest rate was in Belarus.

Data sources and availability

The data for ENP-East countries are supplied by and under the responsibility of the national statistical authorities of each country on a voluntary basis. The data that are presented in this article result from an annual data collection cycle that has been established by Eurostat. These statistics are available free-of-charge on Eurostat’s website, together with a range of different indicators covering most socio-economic areas.

The main source for European labour force statistics is the European Union labour force survey (EU LFS). This household survey is carried out in all EU Member States in accordance with European legislation; it provides figures at least each quarter.

The economically active population (labour force) comprises employed and unemployed persons. The EU LFS defines persons in employment as those aged 15 and over, who, during the reference week, performed some work, even for just one hour per week, for pay, profit or family gain. The labour force also includes people who were not at work but had a job or business from which they were temporarily absent, for example, because of illness, holidays, industrial disputes, education or training.

Employment statistics are frequently reported as employment rates to discount the changing size of countries’ populations over time and to facilitate comparisons between countries of different sizes. These rates are typically published for the working age population, which is generally considered to be those aged 15-64 years, as well as for those aged 20-64 (to take account of the increasing proportion of young people who remain in education).

Eurostat publishes unemployment statistics based on a definition of unemployment provided by the International Labour Organisation (ILO) for which there are three criteria, namely: being without work, actively seeking work, and being available for work.

Tables in this article use the following notation:

Value in italics	data value is forecasted, provisional or estimated and is therefore likely to change;
:	not available, confidential or unreliable value;
–	not applicable.

Context

Labour market statistics are increasingly used to support policymaking and to provide an opportunity to monitor participation in the labour market. In the aftermath of the global financial and economic crisis, these statistics have been used to monitor the knock-on effects of the crisis on labour markets (which notoriously lag behind fluctuations in economic activity).

In March 2010, the European Commission launched the Europe 2020 strategy for smart, sustainable and inclusive growth. One of the headline targets for the strategy is to raise the employment rate for women and men aged 20-64 years old to 75 % by 2020. EU Member States may set their own national targets in the light of these headline targets and draw up national reform programmes that include the actions they aim to undertake in order to implement the strategy.

The slow pace of recovery from the financial and economic crisis in the EU and mounting evidence of rising unemployment led the European Commission to make a set of proposals on 18 April 2012 for measures to boost jobs through a dedicated employment package. In December 2012, in the face of high and still rising youth unemployment in several EU Member States, the European Commission proposed a Youth employment package (COM(2012) 727 final). Efforts to reduce youth unemployment continued in 2013 as the European Commission presented a Youth employment initiative (COM(2013) 144 final) designed to reinforce and accelerate measures outlined in the Youth employment package. It aimed to support, in particular, young people not in education, employment or training in regions with a youth unemployment rate above 25 %. There followed another Communication titled ‘Working together for Europe's young people — A call to action on youth unemployment’ (COM(2013) 447 final) which is designed to accelerate the implementation of the youth guarantee and provide help to EU Member States and businesses so they may recruit more young people. One of the main priorities of the College of Commissioners that entered into office in 2014 is to focus on boosting jobs, growth and investment.

In June 2016, the European Commission adopted a Skills Agenda for Europe (COM(2016) 381/2) under the heading ‘Working together to strengthen human capital, employability and competitiveness’. This is intended to ensure that people develop the skills necessary for now and the future, in order to boost employability, competitiveness and growth across the EU.

On 18 November 2015, the High Representative for Foreign Affairs and Security Policy and the European Commission jointly presented a review of the European Neighbourhood Policy (SWD(2015) 500 final) which underlined a new approach for the EU in relation to its eastern and southern neighbours, based on stabilising the region in political, economic, and security-related terms.

In cooperation with its ENP partners, Eurostat has the responsibility ‘to promote and implement the use of European and internationally recognised standards and methodology for the production of statistics, necessary for developing and monitoring policy achievements in all policy areas’. Eurostat undertakes the task of coordinating EU efforts to increase the statistical capacity of the ENP countries. Additional information on the policy context of the ENP is provided here.

Further Eurostat information

Publications

Database

Eastern European Neighbourhood Policy Country (ENP-East) (enpr), see:

Population and social conditions (enpr_ps)

ENP countries: labour market (enpr_pslm)

Employment and unemployment (Labour Force Survey) (employ), see:

LFS main indicators (lfsi)

Employment and activity - LFS adjusted series (lfsi_emp)

Unemployment - LFS adjusted series (une)

LFS series - detailed annual survey results (lfsa)

Dedicated section

Methodology / Metadata

Eastern European Neighbourhood Policy countries (ENP-East) (ESMS metadata file — enpr_esms)

Source data for tables and figures (MS Excel)

European Neighbourhood Policy - East countries — labour market: tables and figures

External links