Categories in Neu-Ulm
Auto Electrical ServiceAuto glassAuto paintingAuto Parts StoreBody repairBrake ShopCar Accessories StoreCar Detailing ServiceCar Inspection StationCar rentalCar repairCar Repair and MaintenanceCar WashGas StationMotorcycle Parts StoreMotorcycle repairNew car dealersOil Change ServiceTire repair shopTire ShopTruck Repair ShopTrucks and trailer rentalTrucks and trailersUsed car dealersAwning SupplierBearing SupplierBeauty Product SupplierBeverage DistributorBuilding Materials SupplierCommercial PrinterConstruction Equipment SupplierDigital PrinterDoor ManufacturerElectronics WholesalerFarmingFood ProducerForklift DealerFurniture MakerHandicraftHeating Equipment SupplierHoney FarmHydraulic Equipment SupplierHydraulic Repair ServiceIndustrial & Construction ManufacturingIndustrial Equipment SupplierLumber StoreMachine ConstructionMachine ShopMachines WholesaleMachining Manufacturer
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Industries
Business Distribution by Industry in Neu-Ulm
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Corporate management | 363 | 26 years |
| Shopping | 311 | 30 years |
| Restaurants | 278 | — |
| Health and medical | 266 | — |
| Real estate | 216 | — |
| Electronics stores | 171 | 27 years |
| Car repair | 155 | — |
| Financial services | 122 | — |
| Lawyers legal | 106 | — |
Neu-Ulm Facts
| Area | 16.4 km² |
| Population | 40,177 |
| Male Population | 19,587 (48.8%) |
| Female Population | 20,590 (51.2%) |
| Population change (1975 to 2020) | +30.9% |
| Population change (2000 to 2020) | +13.1% |
| Median Age | 43.4 years (Male: 42.4, Female: 44.4) |
| GDP per capita (PPP) | $106,601 (2022) |
| Area Codes | 7307, 7308, 731 |
| Neighborhoods | Schwaighofen, Offenhausen, Pfuhl, Burlafingen, Ludwigsfeld |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 48.39279, 10.01112 |
| Postal Codes | 89231, 89233, 89290 |
Map of Neu-Ulm
Interactive Map
Neu-Ulm Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 30,690 | 32,423 | 35,533 | 36,726 | 40,177 | 39,961 | 39,848 |
| Population Density | 1,874.2 / km² | 1,980 / km² | 2,170 / km² | 2,242.8 / km² | 2,453.6 / km² | 2,440.4 / km² | 2,433.5 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridNeu-Ulm Population change from 2000 to 2020
Increase of 13.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Neu-Ulm | +30.9% | +23.9% | +13.1% |
| Bavaria | — | — | — |
| Germany | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Neu-Ulm Median Age
Median Age: 43.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Neu-Ulm | 43.4 yrs | 44.4 yrs | 42.4 yrs |
| Bavaria | 43.8 yrs | 44.9 yrs | 42.8 yrs |
| Germany | 44.8 yrs | 46 yrs | 43.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Neu-Ulm Population Density
Population Density: 2,454 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Neu-Ulm | 40,177 | 16.4 km² | 2,454 / km² |
| Bavaria | 12.7 million | 70,548.3 km² | 180 / km² |
| Germany | 80.7 million | 358,179.8 km² | 225 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Neu-Ulm Historical and Projected Population
Estimated Population from 1300 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.
Neighborhoods in Neu-Ulm
Percentage of businesses by neighborhood in Neu-Ulm
Postal Codes
Percentage of businesses by Postal Codes in Neu-Ulm
Price Distribution
Business distribution by price for Neu-Ulm
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4
Neu-Ulm Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $74,119 | $79,417 | $86,620 | $89,340 | $96,945 | $104,064 | $102,406 | $106,601 |
| Total GDP | $6.9B | $7.6B | $8.5B | $8.8B | $9.5B | $10.3B | $10.1B | $10.4B |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Neu-Ulm CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Neu-Ulm | 398,206 tn | 9.91 tn | 24,317.9 tons/km² |
| Bavaria | 124,278,407 tn | 9.81 tn | 1,761.6 tons/km² |
| Germany | 755,339,039 tn | 9.36 tn | 2,108.8 tons/km² |
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Neu-Ulm CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 398,206 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 9.91 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 24,317.9 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (10) |
| Earthquake | Low (2) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 12/25/08 | 7:21 PM | 3.1 | 54.5 km | 10,000 m | Germany | usgs.gov |
| 9/1/07 | 6:43 PM | 3 | 73.6 km | 10,000 m | Germany | usgs.gov |
| 8/16/07 | 9:36 AM | 3.4 | 79.3 km | 6,000 m | Germany | usgs.gov |
| 9/13/05 | 6:54 PM | 3.1 | 76.4 km | 9,000 m | Germany | usgs.gov |
| 11/23/04 | 5:41 PM | 3.7 | 78.9 km | 10,000 m | Germany | usgs.gov |
| 6/22/04 | 1:49 AM | 3.2 | 83.5 km | 8,500 m | Germany | usgs.gov |
| 4/18/04 | 3:21 AM | 3.1 | 91.3 km | 33,000 m | Germany | usgs.gov |
| 4/8/04 | 3:09 AM | 3.2 | 72.1 km | 8,000 m | Germany | usgs.gov |
| 9/10/03 | 12:45 PM | 3 | 71.2 km | 24,000 m | Germany | usgs.gov |
| 9/3/03 | 2:28 AM | 3.4 | 72.2 km | 18,000 m | Germany | usgs.gov |
Source: U.S. Geological Survey (USGS)
Neu-Ulm
Neu-Ulm is the capital of the Neu-Ulm district and a town in Swabia, Bavaria. Neighbouring towns include Ulm, Senden, Pfaffenhofen an der Roth, Holzheim, Nersingen and Elchingen. The population is 51,110 (30 June 2005).
Neu-Ulm Wikipedia Page
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.