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Treptow-Köpenick, Berlin

Germany · Comprehensive city data and intelligence

61
Overall Score

Treptow-Köpenick is the largest borough of Berlin by area, characterized by its extensive forests, rivers, and lakes, most notably the Müggelsee. Historically known as an industrial hub and the site of the famous 'Captain of Köpenick' hoax, it has transformed into a sought-after residential and green technology district. People move here to escape the dense urban bustle of central Berlin while maintaining access to a high quality of life surrounded by nature.

About Berlin

Berlin, Germany's capital and largest city with 3.7 million inhabitants, is a global hub of culture, politics, media, and science, known for its diverse and progressive character. Its economy is primarily service-based, with key industries including IT, healthcare, biotechnology, media, creative arts, and transportation, alongside a growing manufacturing sector. Living in Berlin is generally considered more affordable than other major European capitals, though rent is the largest expense, and the city experiences a moderately continental climate with warm summers and cold, often snowy, winters. The lifestyle is often described as relaxed and open-minded, with excellent public transport and abundant green spaces.

278,000
Population
$54K
Avg Salary
92
Cost Index
61.1
Quality Score
How this 61/100 was calculated five components, with every reading behind them
Component Readings used Points Weight Contributes
Safety Safety score: 78 / 100 78.0 30% 23.4
Affordability Cost of living index (100 = national baseline): 92.0 53.8 25% 13.4
Economy & jobs Median household income: $56,000 Income needed to live here: $48,000 Unemployment rate: 6.2% 46.7 20% 9.3
Growth Population growth rate: 0.9% Job growth rate: 1.8% 51.8 15% 7.8
Business climate assessment Business climate assessment: 72 / 100 72.0 10% 7.2
Overall score 61.1

Provenance. These figures were produced by the research pass recorded as Tier 1 (fast) (q=52, partial — below threshold), last refreshed 17 October 2026. They are researched estimates drawn from public sources, not a licensed data feed.

Each component is scored against fixed published endpoints, so this number is comparable with any other city and does not move as the dataset grows. Scoring framework 2026.10 — full methodology, weights and accepted ranges.

Businesses in Treptow-Köpenick

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Quality Scores

Business
72
Livability
82
Affordability
68
Growth
74

Cost of Living

The cost of living in Treptow-Köpenick is slightly below Berlin's central districts but has risen steadily in recent years due to high demand for lakeside and green-space living. Housing and rental prices drive the bulk of monthly expenses, though everyday goods, groceries, and local dining remain closely aligned with broader German metropolitan averages. Energy and utility costs are subject to national regulatory trends, impacting overall household budgets.

Average Rent
$1,450/mo
Groceries
$420/mo
Transport
$95/mo
Utilities
$220/mo
Healthcare
$200/mo
Gym membership (monthly)
$45.00
Cinema ticket
$13.00
Restaurant meal (mid-range)
$20.00
Monthly groceries
$380.00
Doctor visit (without insurance)
$120.00

Salary Insights

Treptow-Köpenick's economy is increasingly driven by technology, research, and specialized manufacturing, bolstered by innovation parks such as the WISTA site in nearby Adlershof. Major employers include academic institutions, aerospace technology firms, and healthcare providers, creating a robust local job market. The remote work scene thrives here, supported by numerous co-working spaces and cafes that cater to Berlin's digital nomad and tech professional population.

The average salary in Treptow-Köpenick is $54,000 per year. You would need approximately $48,000 to live comfortably.

Top Industries

Healthcare and Social Services +2.10% Tourism and Hospitality +2.40% Public Administration and Education +1.50% Manufacturing and Engineering +1.10% Technology and Research +3.20%

Climate

🌡️
Avg Temp
☀️
Summer High
❄️
Winter Low
🌧️
"
Annual Rain
💧
70.00%
Humidity
🌤️
Sunny Days

Transport

Public transportation is well-integrated, with S-Bahn lines, trams, and buses connecting the borough efficiently to central Berlin. Walkability varies by neighborhood; historic centers and modern residential quarters are pedestrian-friendly, while more sprawling forest-adjacent areas lean toward cycling or car usage. Commute times to central business districts average around 30 to 45 minutes.

35 min
Avg Commute
70.00/10
Transit Score
65.00/10
Walkability
Medium
Car Dependency

Pros & Cons

Advantages
Extensive green spaces and water bodies cover a large portion of the borough, offering unmatched outdoor recreation.
Crime rates are notably lower than Berlin's central nightlife districts, ensuring a secure environment.
Proximity to the Adlershof science and technology park fosters strong local employment in high-tech sectors.
Well-connected S-Bahn and tram networks provide efficient transit to central Berlin despite the suburban feel.
Rich cultural history, including the charming Köpenick old town and baroque Köpenick Palace.
Drawbacks
Rental prices and housing availability have tightened significantly over recent years due to high demand.
Commuting times to western or northern parts of Berlin can be lengthy due to geographic distance.
Nightlife and dining options are more subdued compared to inner-city districts like Kreuzberg or Neukölln.
Certain residential areas exhibit high car dependency due to sprawling suburban layouts.
Local bridge and road infrastructure experiences congestion during peak commuting hours.

Questions about Treptow-Köpenick

What people ask about living in and moving to Treptow-Köpenick, Berlin.

Gathering the most common questions about Treptow-Köpenick…

Frequently Asked Questions

The consumer market basket tracks everyday necessities, including staple grocery items (such as milk, bread, eggs, and produce), residential energy bills (electricity, gas, and water), public and private transit costs, routine outpatient medical care, and standard consumer goods and services to ensure a representative monthly budget.

Even in close geographic proximity, local tax jurisdictions, municipal utility rates, zoning laws, and micro-housing markets can create wide cost discrepancies. For example, a city with strict land-use regulations or higher local sales taxes will typically exhibit elevated housing and consumer goods costs compared to an adjacent county with looser zoning and lower tax burdens.

Even in close geographic proximity, local tax jurisdictions, municipal utility rates, zoning laws, and micro-housing markets can create wide cost discrepancies. For example, a city with strict land-use regulations or higher local sales taxes will typically exhibit elevated housing and consumer goods costs compared to an adjacent county with looser zoning and lower tax burdens.

Local tax climates significantly shift a city's affordability score by directly affecting disposable income. Urblytica factors in state income tax brackets, local municipal property tax millage rates, and combined sales taxes to measure the true tax drag on median household earnings.

Core economic indexes and consumer price metrics undergo a comprehensive quarterly recalibration. This update cycle integrates the latest Consumer Price Index (CPI) releases, municipal utility rate adjustments, and regional housing data feeds to ensure all index comparisons reflect current economic conditions.

Housing is weighted as the single largest component in Urblytica's cost-of-living algorithm, typically accounting for roughly 30% to 35% of the composite score. It incorporates both median monthly gross rent and median single-family home purchase prices relative to local median income levels.

Normalization involves adjusting raw economic inputs against localized purchasing power parities (PPPs) and population-weighted density scales. This ensures fair, apples-to-apples comparisons between dense metropolitan hubs and smaller suburban or rural towns.

Utility indexing applies a rolling annual average that captures seasonal climate variations, such as increased summer air conditioning loads in southern climates or heavier winter heating demands in northern regions, providing a realistic year-round average utility expense.

Remote workers leverage the index to calculate real purchasing power parity when moving from a high-cost-of-living area to a lower-cost region. By comparing index differentials against their fixed salary, users can determine if their net savings and lifestyle quality will improve post-relocation.

While the raw Cost of Living Index measures pure expense levels, it is frequently paired with Urblytica’s local wage index and median household income benchmarks. This combined view highlights whether local salaries keep pace with local consumer goods and housing expenses.

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