Demographic indicators by access to city typology β Deaths in Malta
Malta: Demographic indicators by access to city typology β Deaths was 7.35 Per 1 000 inhabitants in 2024. β¬ Flat
Demographic indicators by access to city typology β Deaths in Malta, 2001β2024
Source: Organisation for Economic Co-operation and Development. Measured in Per 1 000 inhabitants.
Analysis
The most recent figure for demographic indicators by access to city typology β deaths in Malta is 7.35 Per 1 000 inhabitants, measured in 2024.
That represents a change of down 0.4% on the previous year and down 4.0% over ten years.
Over the whole period, demographic indicators by access to city typology β deaths in Malta peaked at 8.11 Per 1 000 inhabitants in 2012 and was at its lowest, 7.06 Per 1 000 inhabitants, in 2004.
Malta ranks 26th of 35 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 7.6 Per 1 000 inhabitants | 7.06 Per 1 000 inhabitants | 7.95 Per 1 000 inhabitants | 9 |
| 2010s | 7.62 Per 1 000 inhabitants | 7.18 Per 1 000 inhabitants | 8.11 Per 1 000 inhabitants | 10 |
| 2020s | 7.72 Per 1 000 inhabitants | 7.35 Per 1 000 inhabitants | 8.08 Per 1 000 inhabitants | 5 |
Countries ranked near Malta
More population data for Malta
- Population growth rate by level of development -0.805 (2100)
- Projected population under age 5 11,503 (2100)
- Population density 1,125 (2100)
- Population growth rate -0.805 (2100)
- Projected population under age 5, annual growth rate -1.02 % change on previous year (2100)
- Fertility and wanted fertility 1.01 (2024)
- Refugee population by country or territory of asylum 7,814 (2024)
- Fertility vs unmet contraception 1.01 (2024)
- Fertility vs contraception 1.01 (2024)
- Natural population growth 0.0533 (2023)
Frequently asked questions
- What is demographic indicators by access to city typology β deaths in Malta?
- Demographic indicators by access to city typology β deaths in Malta was 7.35 Per 1 000 inhabitants in 2024, according to Organisation for Economic Co-operation and Development.
- What is the highest demographic indicators by access to city typology β deaths recorded in Malta?
- The highest recorded value was 8.11 Per 1 000 inhabitants in 2012.
- What is the lowest demographic indicators by access to city typology β deaths recorded in Malta?
- The lowest recorded value was 7.06 Per 1 000 inhabitants in 2004.
- How does Malta rank for demographic indicators by access to city typology β deaths?
- Malta ranks 26th out of 35 countries with data for 2024.
- Is demographic indicators by access to city typology β deaths rising or falling in Malta?
- Over the last ten years it is down 4.0%. The long-run trend across the full record is flat.
- Where does this Malta data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Demographic indicators by access to city typology β Deaths. Statizoid updates them automatically from the source API.
Download this data
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About this data
<p>This data set provides indicators on demography by territorial typology according to the population's access to cities.</p> <p><strong>Data source and definition</strong></p> <p>The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p>The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.</p> <p><strong> Territorial typology on population's access to cities</strong></p> <p style="text-align: justify;">Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region. The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) – composed of urban centres and their commuting areas – and classifies small (TL3) regions (<a>Fadic et al., 2019</a>) according to the following criteria:</p> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table <a>(xlsx)</a>. Maps of For more information, see the OECD Territorial grid <a>(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a>http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li><a>OECD Regions and Cities Statistical Atlas</a> </li> <li>The report <a>OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact: <a>RegionStat@oecd.org</a></p>