Malta vs Porto: Economy - FUAs — Employment at place of work
Economy - FUAs — Employment at place of work over time
- Malta
- Porto
How they compare
Porto currently reports 658,315 Persons against 289,458 Persons in Malta, a difference of 368,857 Persons.
That makes Porto's figure about 2.3 times Malta's.
Across all 23 years both countries report, Porto has been ahead every year.
Malta ranks 2nd and Porto ranks 2nd of 2 countries.
Porto has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Malta | Porto | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 154,091 Persons | 631,424 Persons | 477,333 Persons | Porto |
| 2010s | 196,511 Persons | 589,500 Persons | 392,989 Persons | Porto |
| 2020s | 261,015 Persons | 635,802 Persons | 374,787 Persons | Porto |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher economy - fuas — employment at place of work, Malta or Porto?
- Porto, at 658,315 Persons against 289,458 Persons in Malta as of 2022.
- What is the difference in economy - fuas — employment at place of work between Malta and Porto?
- 368,857 Persons, with Porto ahead.
- How many years of comparable data are there for Malta and Porto?
- 23 years are reported by both, from 2000 to 2022.
- How do Malta and Porto rank globally for economy - fuas — employment at place of work?
- Malta ranks 2nd and Porto ranks 2nd of 2 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Economy - FUAs — Employment at place of work. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity. Data sources and methodology When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) 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. GDP) 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, GDP estimates are available at the county-level (US Bureau of Economic Analysis), 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 (Economy - 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