SNAPSHOT / BERLIN

3,624 unique listings · 30-day calendar · 2026-05-20 → 2026-06-18 City-wide occupancy · 59.9% booked across the window Median price · €149/night · p25 €113 · p75 €210 · p90 €295 47% of hosts are Superhost · median rating 4.86 / 5 106,620 day-rows of availability captured · 37 map cells 3,624 unique listings · 30-day calendar · 2026-05-20 → 2026-06-18 City-wide occupancy · 59.9% booked across the window Median price · €149/night · p25 €113 · p75 €210 · p90 €295

Public Snapshot · Berlin

Airbnb Berlin 3,624 listings 30-day calendar

An anonymous statistical snapshot of Berlin's short-term rental market, captured in a single pass on 2026-05-20. Pricing, occupancy, property mix and host signals across the full city — 3,624 unique listings, 106,620 day-rows of forward availability. No personal data, no host identities — only the aggregate market view.

scraped 2026-05-20 window 2026-05-20 → 2026-06-18 coverage 99.9% source airbnb.com (public)

berlin_snapshot.txt

window = 2026-05-20 → 2026-06-18 listings = 3,624 // unique, deduped day_rows = 106,620 occupancy = 59.9% // booked across window price_p50 = €149/night // median price_p90 = €295/night superhost = 47% rating = 4.86 // median, out of 5 cells = 37 // recursive bbox split, depth ≤ 3 errors = 0.1% // 4 listings unreachable

Headline · Counts

At a glance

Four core numbers from the Berlin snapshot. Every chart and example below derives from these.

Unique Listings

3,624

deduplicated across 37 bbox cells · 99.9% page-data coverage

Forward Day-Rows

106,620

30 days × 3,624 listings · per-day available / bookable / min-nights

City Occupancy

59.9%

share of day-slots already booked over the 30-day window

Median Price

€149

per night, decoded from search-time stay totals

Chart · Occupancy by Date

Day-by-day booking pressure

Share of the 3,624-listing population that is already booked on each individual night. Weekend peaks (Friday–Saturday) reach 80–93%; mid-week troughs settle around 41–46%.

2026-05-20 → 2026-06-18 · occupancy per night

% of listings booked · n=3,624

Wed 2026-05-2083.7%

Thu 2026-05-2171.7%

Fri 2026-05-2283.8%

Sat 2026-05-2393.2%

Sun 2026-05-2473.7%

Mon 2026-05-2554.6%

Tue 2026-05-2651.3%

Wed 2026-05-2753.4%

Thu 2026-05-2861.3%

Fri 2026-05-2974.9%

Sat 2026-05-3080.4%

Sun 2026-05-3153.7%

Mon 2026-06-0145.0%

Tue 2026-06-0243.6%

Wed 2026-06-0346.1%

Thu 2026-06-0454.2%

Fri 2026-06-0559.2%

Sat 2026-06-0658.2%

Sun 2026-06-0745.2%

Mon 2026-06-0846.2%

Tue 2026-06-0951.0%

Wed 2026-06-1058.9%

Thu 2026-06-1169.0%

Fri 2026-06-1278.9%

Sat 2026-06-1380.0%

Sun 2026-06-1452.7%

Mon 2026-06-1544.1%

Tue 2026-06-1641.1%

Wed 2026-06-1741.7%

Thu 2026-06-1844.8%

Distributions

Price & capacity shape

Per-night EUR is decoded from Airbnb's search-time stay totals (5/6/7-night default windows). Capacity comes from the public listing pages.

Per-night price brackets

EUR · n=3,596 priced listings

< €500.3%

€50 – €753.8%

€75 – €10011.5%

€100 – €15035.0%

€150 – €20021.7%

€200 – €30018.3%

€300 – €5007.3%

€500+2.1%

p25

€113

median

€149

p75

€210

p90

€295

Person capacity

max guests per listing · n=3,618

2 guests40.7%

3 guests12.6%

4 guests24.3%

5 guests5.8%

6 guests9.2%

7 guests1.9%

8 guests2.4%

9+ guests3.4%

65% of Berlin's STR supply fits 2–4 guests. The largest single-listing capacity in the snapshot is 16 guests (n=7).

Property Mix

What kind of stays are listed?

Authoritative property type comes from each listing's own page metadata, not the search-card heading.

Property type breakdown

% of 3,620 enriched listings

Entire rental unit51.5%

Private room (rental unit)8.8%

Entire home5.5%

Entire condo4.9%

Private room (home)4.2%

Hotel room3.9%

Entire serviced apartment3.6%

Entire loft2.0%

Entire guesthouse1.5%

Houseboat1.2%

Other (29 types)12.9%

Per-Listing Signals

How busy is the average host?

Distribution of the 30-day occupancy across listings, alongside review density and quality.

Occupancy distribution

% of nights booked over 30 days · n=3,624

0% booked1.4%

1 – 25%12.9%

26 – 50%22.2%

51 – 75%26.5%

76 – 99%25.9%

100% booked9.2%

335 listings are fully booked across all 30 nights · 49 have zero nights booked.

Review count distribution

cumulative reviews per listing · n=3,354 with reviews

median

p75

124

p90

283

0 reviews7.5%

1 – 1017.1%

11 – 5029.5%

51 – 20030.0%

200+15.9%

Mean rating 4.79 / 5 · median 4.86 · 65% of listings rated ≥ 4.8 · top single-listing review count: 2,759.

Anonymous Examples

Twelve sample rows

A spread of property types, price tiers and districts. No host names, no exact addresses, no listing identifiers — only the aggregate market-facing facts that already appear on every public Airbnb search result.

#	Property type	District quadrant	Guests	€/night	Rating	Reviews	Superhost	30-day occupancy
01	Private room in rental unit	Mitte / Charlottenburg	2	€140	4.91	35	✓	53%
02	Entire home	Neukölln / Friedrichshain	8	€314	4.90	51	✓	63%
03	Private room in townhouse	Schöneberg / Steglitz	3	€115	4.67	114	—	80%
04	Entire rental unit	Schöneberg / Steglitz	2	€125	4.83	113	—	86%
05	Entire condo	Mitte / Charlottenburg	6	€134	4.86	102	✓	93%
06	Entire rental unit	Pankow / Prenzlauer Berg	4	€246	4.98	42	✓	76%
07	Private room in rental unit	Mitte / Charlottenburg	4	€100	4.79	38	—	73%
08	Entire condo	Schöneberg / Steglitz	4	€133	4.67	178	—	40%
09	Private room in houseboat	Pankow / Prenzlauer Berg	3	€139	4.79	29	✓	36%
10	Private room in B&B	Mitte / Charlottenburg	2	€95	4.48	195	—	60%
11	Entire loft	Schöneberg / Steglitz	2	€198	4.85	231	✓	40%
12	Entire cottage	Schöneberg / Steglitz	2	€156	4.85	316	✓	80%

Methodology

How the snapshot was captured

Single-pass observation against airbnb.com's public listing pages. No login, no scraping of host-private fields, no reviews body text.

Coverage strategy

Berlin's bounding box was divided recursively into lat/lng map cells. Any cell that returned the platform's per-query result ceiling was sub-divided into four; cells that exhausted were terminated. 37 cells total, max depth 3.

Calendar window

For every unique listing the public availability calendar was queried for the next 30 days starting 2026-05-20. 106,620 day-rows captured with available / bookable / min-nights / max-nights fields per row.

Privacy

Only fields that appear on every public search result and listing page were retained: property type, capacity, price, rating, review count, geo-quadrant. No host names, no profile data, no reviews text.

Price handling

Search returns stay totals (5/6/7-night defaults). All per-night figures shown above are decoded by dividing the total by the qualifier-supplied stay length. Top-end outliers (single listing at €11,692/night) excluded from medians.

Geo aggregation

Districts on this page are simplified into four quadrants relative to Berlin's geometric center (52.50N, 13.42E). Finer-grained borough breakdowns exist in the source dataset but are not published here.

Refresh

This page is a point-in-time snapshot, not a live feed. The exact figures above will drift as Berlin's calendar continues to fill. Subsequent runs are independent passes against the same bounding box.