Should I stay or should I go? What we can learn from working patterns of Central and Eastern European labour migrants about the nature of present-day migration

Figures & data

Table 1. Numbers and background characteristics by origin, cohort June 2010.

Origin	Number (× 1000)	Share (%)	Average age	Share men (%)	Share temporary contract (%)	Hourly pay (€)
Eastern Europe	144	1.9	33	60	71	10.38
Rest of EU	180	2.4	40	57	36	18.65
Western excl. EU	104	1.4	43	49	32	17.56
Non-Western	323	4.4	40	53	37	14.43
Turkey/Morocco	148	2.0	38	63	32	13.51
Netherlands	6470	87.6	39	53	27	16.88
Total	7386	100.0

Figure 1. Share of employees employed in the months June 2010 – December 2015 (monthly observations) June 2010 cohort.

Figure 2. Number of months worked in a calendar year, Central and Eastern European labour migrants, June 2010 cohort.

Table 2. Numbers and background characteristics by working pattern type in 2010, June 2010 cohort of labour migrants from Central and Eastern Europe.

Working pattern type	Number (× 1000)	Share (%)	Average age	Share men (%)	Share temporary contract (%)	Hourly pay (€)
Registered
Short-term work	3	2.4	30	52	75	10.33
Long-term work	62	43.4	34	48	62	11.66
Not registered
Short-term work	24	16.4	30	63	80	8.88
Long-term work	54	37.7	33	72	78	9.56

Figure 3. ‘Short-term work and registered’ working pattern in 2010 and trend in the subsequent period 2011–2015, Central and Eastern European labour migrants, June 2010 cohort (N = 3399).

Figure 4. ‘Short-term work and not registered’ working pattern type in 2010 and trend in the subsequent period 2011–2015, Central and Eastern European labour migrants, June 2010 cohort (N = 23,632).

Figure 5. ‘Long-term work and registered’ working pattern type in 2010 and trend in the subsequent period 2011–2015, Central and Eastern European labour migrants, June 2010 cohort (N = 62,452).

Figure 6. ‘Long-term work and not registered’ working pattern type in 2010 and trend in the subsequent period 2011–2015, Central and Eastern European labour migrants, June 2010 cohort 2010 (N = 54,220).

Table 3. Results of multinomial logistic regression analysis: relationship between background characteristics and working pattern type in 2010, Central and Eastern European labour migrants, June 2010 cohort.

	Long-term work and registered		Short-term work and registered		Short-term work and not registered
	Exp (B)	St. Err.	Exp. (B)	St. Err.	Exp (B)	St. Err.
Age (log)
Age	0.766	0.023	0.410	0.065	0.373	0.029
Sex (reference = male)
Female	2.361	0.014	2.042	0.037	1.343	0.017
Hourly pay June 2010 (log)
Hourly pay	3.407	0.025	0.555	0.051	0.445	0.029
Contract (reference = permanent)
Temporary	0.685	0.015	0.913	0.043	1.083	0.021
Sector (reference = industry)
Agriculture	0.278	0.037	0.502	0.104	2.898	0.064
Temporary agency	0.343	0.034	0.549	0.094	1.191	0.063
Construction	0.718	0.070	1.956	0.107	0.914	0.136
Retail	0.714	0.038	0.653	0.109	1.147	0.070
Transport	0.220	0.038	0.166	0.135	0.774	0.069
Financial services	1.556	0.054	2.467	0.126	1.429	0.096
Healthcare	29.902	0.233	26.615	0.277	2.057	0.358
Education	21.054	0.320	38.060	0.377	0.426	1.052
Other, of which cleaning	1.318	0.045	2.382	0.149	1.134	0.082

Note: Reference category is ‘long-term work and unregistered’.