There are 904 entire homes listed across Airbnb
in Sheffield and the surrounding area, with 399 private bedrooms
and 44 serviced apartments.
The neighbourhood with the most listings is South Yorkshire,
with 249 entire homes
costing an average of £118 per night.
The second most populated neighbourhood for whole rental properties is
Walkley with 65 listings
, followed by
Nether Edge with 56 entire homes
.
Entire Homes
904
Private Rooms
399
Serviced Apartments
44
Shared Rooms
2
1
Bed Homes
369
2
Bed Homes
281
3
Bed Homes
151
4
Bed Homes
73
5
Bed Homes
22
6+
Bed Homes
14
Doorstep Analytics provides in-depth vacation rental datasets, covering pricing, availability, text descriptions and guest reviews.
Access the full dataset or submit an analytics request to answer your specific questions.
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Basic Pricing
The figures below represent the average nightly price in GBP over the first five consecutive available nights within the next two months.
This reflects the standard Airbnb rate shown when no specific check-in or check-out dates are selected and is based on two guests by default.
For approximately 20% of listings with no upcoming availability, these criteria are not met and no pricing data is recorded.
Complete weekly pricing and daily availability data are available upon request.
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
Campervan: £72
Boat: £131
Barn: £219
Farm stay: £564
Average Price for Private Rooms
£57.17
Average Price for Serviced Apartments
£125.88
Avg. Price for Private Rooms
£57.17
Avg. Price for Serviced Apartments
£125.88
Reviews
Airbnb review scores in Sheffield (4.72) are
significantly below
the average Airbnb review score across all locations (4.754).
There are 225 listings with zero reviews. While some of these will be new properties, it is
possible many are lets only offered for a very short time window, or are junk listings.
Rating per Airbnb Listing
Number of Reviews on each Listing
Hosts
Over half of
Airbnb listings offer self check-in through lockboxes, keypads, or similar.
This suggests these properties are either regularly rented on Airbnb or managed professionally.
15% of hosts have more than one listing in Sheffield, indicating a business presence.
Additionally, 31% of hosts are superhosts; a status awarded by Airbnb for hosts with at least 10 reservations,
an average rating of 4.8 or higher, a fast response rate, and low cancellation rate.
of hosts welcome guests with lockboxes, keypads, smart locks or other self check-in methods
Neighbourhoods
Neighbourhood information is sourced from host input on Airbnb's platform.
When this data is unavailable, a k-nearest neighbours (kNN) machine learning model assigns each listing to its most probable neighbourhood.
Translated city names and names of large regions are filtered out where possible.
Total
All Entire Homes
1-Bed Homes
2-Bed Homes
3-Bed Homes
Private Rooms
Reviews
Count
Count
Avg. Price
Count
Avg. Price
Count
Avg. Price
Count
Avg. Price
Count
Avg. Price
Avg. Score
South Yorkshire
411
249
£118
89
£85
59
£118
45
£148
155
£54
4.73
Walkley
108
65
£120
28
£95
18
£118
12
£135
40
£71
4.64
Nether Edge
78
56
£133
22
£92
17
£121
6
£161
21
£70
4.81
Highfield
54
30
£155
13
£123
5
£165
4
£150
22
£39
4.57
Broomhall
49
35
£137
10
£105
15
£153
4
£204
2
£57
4.78
Crookes
35
28
£126
9
£112
12
£124
3
£138
6
£71
4.82
Hillsborough
26
11
£126
1
£76
4
£104
5
£130
14
£55
4.86
Heeley
23
10
£152
1
£177
4
£120
3
£150
13
£51
4.61
Show All ▼
Download Data
Airbnb Overview
Basic property, host and review data for all Airbnb listings
Airbnb Pricing
Pricing per weekend and weekday, for the next 50 weeks
Airbnb Availability
Daily check-in and check-out availability, per listing
Airbnb Reviews
All review text and scores
Airbnb Descriptions
Text descriptions of property space, location and host details
Airbnb Amenities
Amenities featured in each property
Data Dictionary
Verbose descriptions of all fields
Access complete datasets
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