Locations
Locations: map and district data for southern Bavaria
32 districts and independent cities compared – building land, construction activity, population, income and housing stock as map, ranking and time series.
Data as of: 10 Oct 2026 · updated daily from the time series databases of the sources
Map
Locations compared
Select key figure: the map colours the districts and independent cities in six classes, the table sorts them in descending order.
Latest available annual value per location. Clicking a location opens its profile. Source: Statistical Offices of the Federation and the Länder, Regional Database Germany; own calculations.
Profiles
All location profiles
Per location: population, construction activity, building land, housing stock, labour market and income as time series.
- Aichach-Friedberg district
- Altötting district
- Augsburg
- Augsburg district
- Bad Tölz-Wolfratshausen district
- Dachau district
- Dingolfing-Landau district
- Ebersberg district
- Eichstätt district
- Erding district
- Freising district
- Fürstenfeldbruck district
- Ingolstadt
- Kelheim district
- Landsberg am Lech district
- Landshut
- Landshut district
- Miesbach district
- Mühldorf am Inn district
- Munich
- Munich district
- Neuburg-Schrobenhausen district
- Passau
- Passau district
- Pfaffenhofen an der Ilm district
- Regensburg
- Regensburg district
- Rosenheim
- Rosenheim district
- Rottal-Inn district
- Starnberg district
- Weilheim-Schongau district
- Bavaria
Munich metropolitan region
City and surrounding area over time
Population growth over 5 years
%Change in the number of inhabitants compared with five years earlier, in percent. A value of 2.3 % means: 2.3 percent more inhabitants than five years earlier; a negative value means a decline.
- Munich (city)1.13 %2025 · −0.27 percentage points vs. prior year
- Munich district1.23 %2025 · +0.11 percentage points vs. prior year
- Erding district1.13 %2025 · −0.28 percentage points vs. prior year
- Freising district2.27 %2025 · −0.26 percentage points vs. prior year
Completed dwellings per 1,000 inhabitants
per 1,000 inhabitantsConstruction intensity: completed dwellings in new residential buildings per 1,000 inhabitants. A value of 3.8 means: for every 1,000 inhabitants there are 3.8 new dwellings per year. This makes locations of different sizes comparable.
- Munich (city)3.9 per 1,000 inhabitants2024 · approx. −35.6 % vs. prior year
- Munich district4.0 per 1,000 inhabitants2024 · approx. −16.3 % vs. prior year
- Erding district3.7 per 1,000 inhabitants2024 · approx. −28.0 % vs. prior year
- Freising district3.8 per 1,000 inhabitants2024 · approx. −13.4 % vs. prior year
Purchase value, developed building land
€/m²Average purchase value per m² of the developed building plots sold in the year (statistics on purchase values for building land). The value is not a standard land value: it depends on the location and size of the plots actually sold and therefore fluctuates. Gaps mean: statistically blocked or no sales.
- Munich (city)3,455.08 €/m²2025 · approx. +61.8 % vs. prior year
- Munich district1,612.49 €/m²2025 · approx. −0.1 % vs. prior year
- Erding district448.30 €/m²2025 · approx. +24.2 % vs. prior year
- Freising district748.34 €/m²2025 · approx. +23.4 % vs. prior year
Disposable income per inhabitant
€Disposable income of private households per inhabitant and year in euros, i.e. income after taxes and social contributions including government transfers (national accounts of the Länder). The value is an average per inhabitant and says nothing about individual households.
- Munich (city)35,467 €2022 · approx. +5.6 % vs. prior year
- Munich district35,832 €2022 · approx. +6.1 % vs. prior year
- Erding district28,846 €2022 · approx. +7.0 % vs. prior year
- Freising district27,682 €2022 · approx. +5.8 % vs. prior year
Unemployment rate
%Share of unemployed persons in all civilian labour force members in percent, annual average. A value of 3.3 % means: out of 1,000 labour force members, on average 33 are registered as unemployed.
- Munich (city)5.40 %2025 · +0.60 percentage points vs. prior year
- Munich district3.50 %2025 · +0.30 percentage points vs. prior year
- Erding district2.80 %2025 · +0.40 percentage points vs. prior year
- Freising district3.30 %2025 · +0.30 percentage points vs. prior year
Living space per inhabitant
m²Total living space of the housing stock divided by the number of inhabitants, in m² per inhabitant. A value of 47.6 means: each inhabitant has 47.6 m² of living space available on paper.
- Munich (city)40.1 m²2024 · approx. −0.4 % vs. prior year
- Munich district47.0 m²2024 · approx. +0.3 % vs. prior year
- Erding district50.0 m²2024 · approx. +0.5 % vs. prior year
- Freising district47.6 m²2024 · approx. +0.3 % vs. prior year
Location types
Price development by city and space type
The Bundesbank and the Federal Statistical Office do not publish price indices for individual districts. The indices by city category and spatial type show how comparable locations have developed.
Condominiums by city category
2022=100
- 7 major cities94.62025 · approx. +1.5 % vs. prior year
- 127 cities95.12025 · approx. +1.5 % vs. prior year
- Districts and independent cities96.92025 · approx. +1.5 % vs. prior year
Houses by city category
2022=100
- 7 major cities94.02025 · approx. +0.3 % vs. prior year
- 127 cities95.72025 · approx. +0.7 % vs. prior year
- Districts and independent cities100.42025 · approx. +1.2 % vs. prior year
Multi-family houses by space type
2022=100
- Metropolises98.4Q2 2026 · approx. +2.1 % vs. prior year
- Regiopoles and large cities97.5Q2 2026 · approx. +3.1 % vs. prior year
- Central cities, medium-sized towns102.3Q2 2026 · approx. +2.3 % vs. prior year
- Urban areas96.2Q2 2026 · approx. −3.0 % vs. prior year
Office property by space type
2022=100
- Metropolises83.6Q2 2026 · approx. −1.9 % vs. prior year
- Regiopoles and large cities92.8Q2 2026 · approx. −2.0 % vs. prior year
- Central cities, medium-sized towns92.3Q2 2026 · approx. +2.2 % vs. prior year
- Urban areas90.5Q2 2026 · approx. −0.3 % vs. prior year
Residential property Munich and top-7 cities
2022=100
- Munich98.4Q1 2026 · approx. +3.5 % vs. prior year
- Top-7 cities99.7Q1 2026 · approx. +2.7 % vs. prior year
Retail property by space type
2022=100
- Metropolises83.4Q2 2026 · approx. +1.2 % vs. prior year
- Regiopoles and large cities88.2Q2 2026 · approx. +1.3 % vs. prior year
- Central cities, medium-sized towns94.0Q2 2026 · approx. +0.1 % vs. prior year
- Urban areas86.9Q2 2026 · approx. −1.8 % vs. prior year
Context
Location data in valuation
The market value is determined under § 194 BauGB by the price that could be achieved in the ordinary course of business on the valuation date. Decisive are the general value conditions on the valuation date: the totality of circumstances relevant to price formation, such as the general economic situation, capital market conditions and the economic and demographic developments of the area (§ 2 para. 2 ImmoWertV). They enter the valuation procedure through the input data and the market adjustment (§ 7 ImmoWertV).
Location is one of the features affecting value (§ 2 para. 3, § 5 para. 4 ImmoWertV). The location profiles provide the macro location for this: population, income, labour market, construction activity and housing stock of the district. Standard land values, property yields and cost approach factors are published by the competent expert committee (Gutachterausschuss) (§ 193 para. 5, § 196 BauGB); it is named in each profile.
The expert office STRECKEL values property in the Munich metropolitan region and investment property across Germany: Valuation locations.