B · Housing data
Existing rent (Census 2022)
View on the mapMean net cold rent of existing leases on the reference date 15 May 2022, weighted by rented dwellings. Existing rent, not the asking rent for new contracts. The cell-key method adds slight noise. No update until the register-based census in 2031. Under 30 rented dwellings: no data. Source: Statistical Offices of the Federation and the Länder, Census 2022.
Kieze compared
Average net cold rent of existing leases per planning area (Census 2022). The values appear side by side without judgement.
Highest values
Existing rent, not asking rent. Reference date 15 May 2022. The values carry slight noise for data protection. There is no update until the register-based census in 2031. View source
Source
- Provider
- Destatis · Zensus 2022
- Licence
- dl-de/by
- Data as of
- 2022-05
- Features
- 542
Values
- Unit
- €/m²
- Scale
- Higher = higher existing rent, without judgement (planning areas run from about 5 to 13.5 €/m²)
Calculation
Mean net cold rent in €/m² from the 2022 census, reference date 15 May 2022. The Federal Statistical Office provides values per 100 m grid cell with the number of rented dwellings. We assign each cell to a planning area by its centre point and compute the mean weighted by dwellings. Kiez and district values come from the same cells, not from averaging planning-area values.
- Aggregation
- LOR planning area
- Maintenance
- Statistical Offices of the Federation and the Länder · Census 2022
- Update frequency
- one-off (Census 2022), next update with the register-based census in 2031
Coverage gaps
- Planning areas with fewer than 30 rented dwellings show “no data”.
- Cells with a high estimation error (over 15 %, flag KLAMMERN) enter the area mean but never appear as a single value.
What we don't show
- Existing rent, not asking rent. New leases can be considerably higher.
- Reference date 2022. The cell-key method adds slight noise, so single cells and sums are not exact. No update until the register-based census in 2031.
Related layers
Frequently asked questions
Night-time noise disturbs the sleep phases in which the cardiovascular system and nerves recover. The World Health Organization recommends a guideline value of 40 dB for night-time noise (LNIGHT). The Berlin noise mapping therefore reports LDEN and LNIGHT separately.
LDEN stands for “Level Day-Evening-Night” and is a noise average weighted over 24 hours. Evening and night levels count with penalties of 5 and 10 dB, because noise is more disturbing then. The value serves as a uniform comparison standard across the EU.
The strategic noise mapping shows road, rail, aircraft and industrial noise separately. The map shows total traffic noise from road, rail and air traffic (LDEN), combined per planning area.
The Senate Department for Urban Mobility, Transport, Climate Action and the Environment takes suggestions on strategic noise reduction into the action plan. Complaints about specific sources (construction sites, businesses) go to the responsible Bezirk office (Bezirksamt) or public order office (Ordnungsamt). On the methodology page we link to the official points of contact.
The open Berlin data provides one noise class per planning area (for example “medium” or “high”), not point values. We reproduce the value exactly as published, so as not to suggest a precision that the dataset does not contain.
For each planning area, the Senate Department calculates how many square metres of green space near homes are available per resident within the catchment area. The benchmark is 6 square metres per person. Whether a planning area reaches or misses this value determines the category “high”, “moderate” or “low”.
Trees and larger green spaces lower the air temperature through shading and evaporation. Urban climate analyses show that densely built neighbourhoods with little vegetation stay measurably warmer on summer days than areas with comparable buildings and more greenery. The climate category on this map reflects that.
Stop density is a first, rough indicator of connectivity. It says nothing about frequency, routes or accessibility. In Berlin, a high density often correlates with inner-city locations and interchange hubs, a low density with outer-city areas.
Not at present. The value counts stops within the area boundaries and divides them by the area. We are gradually extending the indicator with walking distances and station categories. The methodology page documents every extension.
We count U-Bahn, S-Bahn, tram and bus stops of the BVG and S-Bahn Berlin GmbH together. Regional rail stations are reported additionally, because they are relevant for commuting.
Live data requires server caching and licence costs, and is often available only for a short time. We deliberately rely on static aggregates from open datasets that we can check and version.
Rents depend on year of construction, fittings, location and reference dates. The Berlin Mietspiegel provides ranges per residential area and age-of-building class, not point values per address. On the methodology page we link to the official Mietspiegel calculator.
The standard land value (Bodenrichtwert) describes an average land price per square metre, verified by the Berlin Committee of Valuation Experts (Gutachterausschuss). The Mietspiegel describes the local comparative rents for housing. Both values apply to areas, not to individual addresses.
PET is a bioclimatic indicator. It states which air temperature in an enclosed room would correspond to the perceived temperature outdoors. Wind, humidity and radiation feed into it. The value is suited to comparing heat stress across urban areas.
The German Weather Service (Deutscher Wetterdienst) counts a day with a maximum temperature of 30 degrees Celsius or more as a hot day. The number of hot days per year in Berlin has risen markedly since the 1990s, as documented in the 1991-2020 climate normal period.
A climate normal period is a 30-year reference period that the World Meteorological Organization uses to make weather averages comparable. For Berlin, we use the current period 1991-2020 as the basis for comparison.
Asphalt and stone store heat and release it again at night. Heavily sealed neighbourhoods cool down less well than neighbourhoods with vegetation or open water. The urban climate analysis treats sealing as one factor among several.