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Real Estate Prices 2026 for Berlin Gatow

Gatow on the western outskirts is idyllically located on the Havel and offers village character with single-family homes. The nature-oriented neighborhood with water sports opportunities, historic village center and quiet atmosphere is ideal for families and sailors.

Avg. transaction price per sqm
Compared to last year, the sale price for resale apartments remained unchanged
Calculation basis: Notarized transactions (as of May 2026)
Avg. purchase asking price per sqm
€5,070
+€640
Compared to last year, the purchase listing price for resale apartments increased by 14%
Calculation basis: Listings on real estate portals (as of May 2026)
Avg. rental asking price per sqm
€16
+€1
Compared to last year, the rental listing price for resale apartments increased by 7%
Calculation basis: Listings on real estate portals (as of May 2026)
Development of Square Meter Prices in the Gatow district (Resale Apartments)
Avg. transaction price per m² of living space, calculated from all notarized sales in the respective period. Source: Gutachterausschuss (Berlin valuation board) (as of May 2026)
Data table: Avg. transaction price per sqm
PeriodAvg. transaction price per sqm
2012€1,240 per sqm
2013
2014
2015
2016
2017€2,530 per sqm
2018
2019
2020
2021€3,850 per sqm
2022
2023€4,660 per sqm
2024
2025€4,070 per sqm
2026
Transaction Data Over Time in the Gatow district (Resale Apartments)
Development of sales volume, living space, prices, availability, and construction periods over 15 years. Source: Gutachterausschuss (Berlin valuation board) (as of May 2026)
Number of transactions
Total number of sales per year
3
Data table: Number of transactions
PeriodNumber of transactions
20121
2013
2014
20151
2016
20173
2018
20197
20205
202111
20222
20237
20242
20258
20263
Avg. living space
Average living space per sale per year
Data table: Avg. living space
PeriodAvg. living space
201261 sqm
2013
2014
2015
2016
201781 sqm
2018
2019
2020
202183 sqm
2022
2023140 sqm
2024
202566 sqm
2026
Avg. transaction price
Average sale price per transaction per year
Data table: Avg. transaction price
PeriodAvg. transaction price
2012€75,000
2013
2014
2015€80,000
2016
2017€103,000
2018
2019
2020
2021€321,900
2022
2023€650,000
2024
2025€255,700
2026
Availability at Transaction
Share of apartments by availability at the time of transaction
Data table: Vacant, Tenant purchase, Occupied
PeriodVacantTenant purchaseOccupied
2012100%0%0%
2013
2014
2015000
2016
2017100%0%0%
2018
2019100%
202080%20%
2021100%
2022100%
202386%14%
2024100%
2025100%
2026100%
Transactions by Building Age
Distribution of transactions by building age class for selected year
Data table: Share
CategoryShare
until 19182%
1919–194910%
1950–19640%
1965–19720%
1973–199075%
1991–200213%
2003–20130%
from 20140%
Listing Data Over Time in the Gatow district (Resale Apartments)
Details on listed apartments over the last 15 years. Source: Listings on real estate portals (as of May 2026)
Number of purchase listings
Total number of listed apartments per year
5
Data table: Number of purchase listings
PeriodNumber of purchase listings
201219
20138
201410
201513
20167
20174
201810
20192
202023
202115
20228
202310
202418
20259
20265
Avg. price difference
Difference between listing and sale price
Data table: Avg. price difference
PeriodAvg. price difference
201248 %
2013
2014
2015
2016
201718 %
2018
2019
2020
20210 %
2022
20236 %
2024
20259 %
2026
Avg. rental asking price per sqm
Average listed rental price per m²
€16
Data table: Avg. rental asking price per sqm
PeriodAvg. rental asking price per sqm
2012
2013
2014€9 per sqm
2015€9 per sqm
2016€9 per sqm
2017€9 per sqm
2018€10 per sqm
2019€11 per sqm
2020€11 per sqm
2021€10 per sqm
2022€14 per sqm
2023€14 per sqm
2024€16 per sqm
2025€15 per sqm
2026€16 per sqm

Data sources: Gutachterausschuss für Grundstückswerte in Berlin (transaction data) and IMV Immobilien-Marktdaten-Vertriebs GmbH (asking-price data). Own calculation, aggregation and presentation across Berlin’s spatial levels (borough, district, neighborhood). The figures shown are based on a model-based analysis and do not replace official statistics; despite careful processing, deviations cannot be ruled out.

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