How many Airbnbs are there in Hannover?
There are 1,916 entire homes listed across Airbnb in Hannover and the surrounding area, with 713 private bedrooms
and 19 serviced apartments.
The neighbourhood with the most listings is Hanover,
with 309 entire homes
costing an average of €186 per night.
The second most populated neighbourhood for whole rental properties is
List with 214 listings, followed by
Laatzen with 194 entire homes.
Average Price per night per Bedrooms
for entire homes and serviced apartments
Average Price per night per Bedrooms
for entire homes and serviced apartments
Average Price per night per Max. Guests
for entire homes and serviced apartments
Average Price per Review Score
Average Price for Other Property Types
Airbnbs charging cleaning fee
54.3%
Avg. Airbnb cleaning fee
€47.12
Airbnbs charging taxes
3.6%
Avg. Price for Private Rooms
€101.77
Avg. Price for Serviced Apartments
€162.72
Basic pricing is taken from the date of data collection for 1 guest.
This is the average price over the first 5 consecutive days the listing is available for, within the next two months.
Where these conditions are not satisfied, no pricing data is recorded. Full weekly pricing and daily availability data is available on request.
All prices are in EUR.
Doorbll offers comprehensive holiday rental datasets, including detailed pricing, availability, and estimated income. You can access the complete dataset directly or request a tailored analytics report to address specific questions and insights.
Reviews
Rating per Airbnb Listing
Number of Reviews on each Listing
Airbnb review scores in Hannover (4.81) are
above
the average Airbnb review score across all locations (4.754)
Around a quarter of
Airbnb listings use self-check in, with lockboxes, keypads or similar. This implies the property
is in regular use as an Airbnb listing, or is run as part of a professional business.
13% of hosts have more than one listing in Hannover, also suggesting
they are a business.
Hosts
Hosts listed as superhosts
24.0%
Hosts with more than 1 listing
12.6%
27%
of listings welcome guests with lockboxes or other self check-in methods
Hosts with Most Listings
27%
of listings welcome guests with lockboxes or other self check-in methods
|
Total |
|
Count |
Hanover |
414 |
309 |
€186 |
128 |
€118 |
92 |
€179 |
51 |
€231 |
105 |
€114 |
4.78 |
List |
280 |
214 |
€152 |
125 |
€119 |
67 |
€164 |
10 |
€376 |
64 |
€84 |
4.80 |
Laatzen |
274 |
194 |
€220 |
76 |
€170 |
64 |
€188 |
27 |
€304 |
72 |
€169 |
4.81 |
Südstadt |
209 |
168 |
€205 |
96 |
€149 |
45 |
€235 |
12 |
€379 |
37 |
€83 |
4.82 |
None |
188 |
139 |
€167 |
67 |
€130 |
36 |
€153 |
22 |
€243 |
46 |
€106 |
4.86 |
Döhren |
161 |
106 |
€179 |
54 |
€148 |
31 |
€216 |
17 |
€212 |
54 |
€91 |
4.82 |
Bemerode |
157 |
112 |
€249 |
51 |
€139 |
30 |
€272 |
14 |
€304 |
44 |
€107 |
4.87 |
Nordstadt |
142 |
93 |
€168 |
43 |
€146 |
27 |
€132 |
10 |
€324 |
48 |
€104 |
4.85 |
Linden-Mitte |
111 |
83 |
€147 |
49 |
€105 |
17 |
€161 |
9 |
€239 |
24 |
€70 |
4.80 |
Linden-Limmer |
107 |
72 |
€172 |
32 |
€127 |
21 |
€176 |
9 |
€221 |
35 |
€73 |
4.76 |
Ricklingen |
91 |
63 |
€215 |
32 |
€135 |
18 |
€154 |
5 |
€478 |
28 |
€80 |
4.77 |
Misburg-Nord |
89 |
63 |
€132 |
41 |
€120 |
10 |
€163 |
9 |
€119 |
26 |
€122 |
4.82 |
Langenhagen |
72 |
54 |
€167 |
22 |
€91 |
12 |
€108 |
6 |
€300 |
17 |
€60 |
4.80 |
Bothfeld |
67 |
40 |
€126 |
27 |
€96 |
6 |
€236 |
5 |
€164 |
26 |
€59 |
4.87 |
Vinnhorst |
57 |
25 |
€130 |
10 |
€67 |
10 |
€110 |
3 |
€175 |
30 |
€110 |
4.91 |
Seelze |
52 |
38 |
€113 |
23 |
€107 |
9 |
€105 |
5 |
€147 |
14 |
€65 |
4.70 |
Garbsen |
51 |
38 |
€122 |
18 |
€83 |
9 |
€105 |
9 |
€196 |
12 |
€70 |
4.77 |
Ronnenberg |
47 |
43 |
€147 |
21 |
€103 |
16 |
€151 |
2 |
€508 |
4 |
€92 |
4.83 |
Isernhagen |
39 |
31 |
€114 |
15 |
€99 |
12 |
€139 |
0 |
- |
6 |
€48 |
4.84 |
Hemmingen |
37 |
19 |
€183 |
13 |
€125 |
2 |
€64 |
3 |
€413 |
18 |
€115 |
4.82 |
Gehrden |
15 |
12 |
€110 |
3 |
€80 |
6 |
€82 |
3 |
€239 |
3 |
€41 |
4.82 |
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Neighbourhoods are provided by user input in Airbnb. Where this data is not provided on Airbnb, a kNN
machine learning model categorises listings into their most likely neighbourhood. Translated city names and names of large regions are removed where possible.