15 January 2025
Statistics Jersey have today released an analysis of the 2017 inward migrant cohort.
Inward migrant analysis - 2017 cohort
The report includes:
characteristics of inward migrants
proportion of inward migrants remaining resident in Jersey over time
characteristics of inward migrants who remained resident and those who left
movement of inward migrants between industries
average earnings of inward migrants over time
new experimental statistics enabling analysis by residential and employment statuses, and self-declared nationality
Summary
When compared to the population who were resident at the end of 2017, people who migrated to Jersey in 2017 were more likely to be:
younger adults aged 16 to 39 years (60%, compared to 30% of residents)
those with Registered (64%, compared to 7% of residents) or Licensed (11%, compared to 2% of residents) status
those with a nationality other than Jersey or British, making up just under half (48%) of inward migrants aged 20 years and over (compared to 22% of residents)
working in hotels, restaurants and bars (29% of working migrants, compared to 8% of working residents)
Five years after migration in 2017 (a period which included Brexit and the COVID-19 pandemic), two-fifths (43%) of inward migrants remained resident in Jersey. Some of the groups least likely to remain were:
young working age adults aged 16 to 29 years (33%)
people with Registered status (at the point of inward migration) (32%)
people of Polish (22%) and other European (27%) nationalities, compared to Jersey or British (52%) and Portuguese or Madeiran (49%) who were more likely to remain
Of inward migrants who initially worked in a low earnings industry, by six years later:
17% moved to a medium or high earnings industry
17% remained in a low earnings industry
66% were either not resident after five years or not working
For 2017 inward migrants who remained for five years and had earnings at both two and six years after migration, their earnings increased by 47% over that period. Adjusted for inflation, this increase was 16%. Notable insights when broken down by different characteristics included:
those with rest of world (non-European) nationalities had the highest average earnings
males had higher average earnings than females
younger age groups tended to have a higher percentage increase in earnings over time
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