Population and built-up density - Cities and FUAs — Urbanised area in Weimar
Weimar: Population and built-up density - Cities and FUAs — Urbanised area was 5 Square kilometres in 2030. ▲ Rising
Population and built-up density - Cities and FUAs — Urbanised area in Weimar, 1975–2030
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
In 2030, population and built-up density - cities and fuas — urbanised area in Weimar stood at 5 Square kilometres. That is the highest value across all 12 years on record.
Compared with earlier readings it is unchanged over ten years.
Over the whole period, population and built-up density - cities and fuas — urbanised area in Weimar peaked at 5 Square kilometres in 2005 and was at its lowest, 3 Square kilometres, in 1975.
That places Weimar 1189th out of 1372 regions with data for 2030, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 12 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3 Square kilometres | 3 Square kilometres | 3 Square kilometres | 1 |
| 1980s | 3 Square kilometres | 3 Square kilometres | 3 Square kilometres | 2 |
| 1990s | 4 Square kilometres | 4 Square kilometres | 4 Square kilometres | 2 |
| 2000s | 4.5 Square kilometres | 4 Square kilometres | 5 Square kilometres | 2 |
| 2010s | 5 Square kilometres | 5 Square kilometres | 5 Square kilometres | 2 |
| 2020s | 5 Square kilometres | 5 Square kilometres | 5 Square kilometres | 2 |
| 2030s | 5 Square kilometres | 5 Square kilometres | 5 Square kilometres | 1 |
Frequently asked questions
- What is population and built-up density - cities and fuas — urbanised area in Weimar?
- Population and built-up density - cities and fuas — urbanised area in Weimar was 5 Square kilometres in 2030, according to Organisation for Economic Co-operation and Development.
- What is the highest population and built-up density - cities and fuas — urbanised area recorded in Weimar?
- The highest recorded value was 5 Square kilometres in 2005.
- What is the lowest population and built-up density - cities and fuas — urbanised area recorded in Weimar?
- The lowest recorded value was 3 Square kilometres in 1975.
- How does Weimar rank for population and built-up density - cities and fuas — urbanised area?
- Weimar ranks 1189th out of 1372 regions with data for 2030.
- Is population and built-up density - cities and fuas — urbanised area rising or falling in Weimar?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Weimar data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Population and built-up density - Cities and FUAs — Urbanised area. Statizoid updates them automatically from the source API.
Download this data
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About this data
<p align="justify">This dataset provides indicators of population density and built-up area in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHSL built-up surface grids <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Population counts are extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> 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. </p> <p align="justify"> 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. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e6">Population and built-up density - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>