Armenia vs Luxembourg: Population and built-up density - Cities and FUAs — Urbanised area
Population and built-up density - Cities and FUAs — Urbanised area over time
- Armenia
- Luxembourg
How they compare
Armenia currently reports 11 Square kilometres against 7 Square kilometres in Luxembourg, a difference of 4 Square kilometres.
That makes Armenia's figure about 1.6 times Luxembourg's.
The two have swapped places 2 times across 12 shared years of data; in 1975 it was Armenia ahead.
Armenia ranks 1st and Luxembourg ranks 2nd of 2 countries.
Armenia has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Armenia | Luxembourg | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 5 Square kilometres | 4 Square kilometres | 1 Square kilometres | Armenia |
| 1980s | 5.5 Square kilometres | 5 Square kilometres | 0.5 Square kilometres | Armenia |
| 1990s | 6.5 Square kilometres | 5.5 Square kilometres | 1 Square kilometres | Armenia |
| 2000s | 8.5 Square kilometres | 6 Square kilometres | 2.5 Square kilometres | Armenia |
| 2010s | 9.5 Square kilometres | 7 Square kilometres | 2.5 Square kilometres | Armenia |
| 2020s | 10 Square kilometres | 7 Square kilometres | 3 Square kilometres | Armenia |
| 2030s | 11 Square kilometres | 7 Square kilometres | 4 Square kilometres | Armenia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher population and built-up density - cities and fuas — urbanised area, Armenia or Luxembourg?
- Armenia, at 11 Square kilometres against 7 Square kilometres in Luxembourg as of 2030.
- What is the difference in population and built-up density - cities and fuas — urbanised area between Armenia and Luxembourg?
- 4 Square kilometres, with Armenia ahead.
- How many years of comparable data are there for Armenia and Luxembourg?
- 12 years are reported by both, from 1975 to 2030.
- How do Armenia and Luxembourg rank globally for population and built-up density - cities and fuas — urbanised area?
- Armenia ranks 1st and Luxembourg ranks 2nd of 2 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Population and built-up density - Cities and FUAs — Urbanised area. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides indicators of population density and built-up area in FUAs and cities. Data sources and methodology FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHSL built-up surface grids (European Commission, GHSL Data Package 2023). Population counts are extracted from the Population by age and sex - FUAs and cities dataset. GHSL is used as it provides harmonised, globally consistent coverage at fine spatial resolution (100 m), enabling the production of comparable subnational indicators on built-up areas. These estimates may differ from official subnational built-up statistics due to differences in methodologies, such as top down remote-sensing based estimations versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify built up areas. 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 (Population and built-up density - Cities and 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