Coimbra vs Malta: Labour market - FUAs — Labour force
Labour market - FUAs — Labour force over time
- Coimbra
- Malta
How they compare
Malta currently reports 307,137 Persons against 137,707 Persons in Coimbra, a difference of 169,430 Persons.
That makes Malta's figure about 2.2 times Coimbra's.
The two have swapped places 1 time across 24 shared years of data; in 2000 it was Coimbra ahead.
Coimbra ranks 5th and Malta ranks 2nd of 5 groups.
Across the 3 decades both report, Coimbra averaged higher in 1 and Malta in 2.
Head to head by decade
| Decade | Coimbra | Malta | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 156,517 Persons | 150,729 Persons | 5,788 Persons | Coimbra |
| 2010s | 141,072 Persons | 195,482 Persons | 54,410 Persons | Malta |
| 2020s | 133,979 Persons | 267,779 Persons | 133,800 Persons | Malta |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labour market - fuas — labour force, Coimbra or Malta?
- Malta, at 307,137 Persons against 137,707 Persons in Coimbra as of 2024.
- What is the difference in labour market - fuas — labour force between Coimbra and Malta?
- 169,430 Persons, with Malta ahead.
- How many years of comparable data are there for Coimbra and Malta?
- 24 years are reported by both, from 2000 to 2023.
- How do Coimbra and Malta rank globally for labour market - fuas — labour force?
- Coimbra ranks 5th and Malta ranks 2nd of 5 groups.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Labour market - FUAs — Labour force. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate. Data sources and methodology When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data (European Commission, GHSL Data Package 2023). FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. employment) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution. When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (US Bureau of Labor Statistics), and then aggregated by FUA. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Labour market - FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org