What is the latest nominal unit labour cost, annual change figure in Malta?

3.5% in 2025, rank 13 of 33 European countries. The EU27 figure is 3.3%.

What does nominal unit labour cost, annual change measure?

Nominal unit labour cost, annual change, in %. A lower value indicates a more favourable situation.

Where does the nominal unit labour cost, annual change data come from?

Eurostat, dataset nama_10_lp_ulc («Labour productivity and unit labour costs - annual data»). RAC-EU downloads it from Eurostat's official API and checks it every day.

How often is nominal unit labour cost, annual change updated?

Annual. The latest period published is 2025; RAC-EU adds new data and revisions on the day Eurostat publishes them.

Nominal unit labour cost, annual change in Malta i

Name: Nominal unit labour cost, annual change in Malta: 3.5% in 2025
Creator: Eurostat
License: https://ec.europa.eu/eurostat/about-us/policies/copyright

Basic · Annual · %

Source: Eurostat (nama_10_lp_ulc), retrieved 2026-10-16 · View on Eurostat · See technical sheet

3.5%

Malta · 2025

Year-on-year change-4.1 pp

Previous period7.6% 2024

Rank in Europe13 of 33

EU273.3%

Spain4.4%

Trend

Country ranking → Malta →

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About this indicator

What is the latest nominal unit labour cost, annual change figure in Malta?: 3.5% in 2025, rank 13 of 33 European countries. The EU27 figure is 3.3%.
What does nominal unit labour cost, annual change measure?: Nominal unit labour cost, annual change, in %. A lower value indicates a more favourable situation.
Where does the nominal unit labour cost, annual change data come from?: Eurostat, dataset nama_10_lp_ulc («Labour productivity and unit labour costs - annual data»). RAC-EU downloads it from Eurostat's official API and checks it every day.
How often is nominal unit labour cost, annual change updated?: Annual. The latest period published is 2025; RAC-EU adds new data and revisions on the day Eurostat publishes them.

The full series since 2001, the chart and the analysis are in the Basic plan. See plans · Full methodology sheet →