Doorda UK Residential Real Estate Data | Property Data & Rental Data | 34M+ Addresses from 20 Data Sources | Business Intelligence and Analytics product image in hero

Doorda UK Residential Real Estate Data | Property Data & Rental Data | 34M+ Addresses from 20 Data Sources | Business Intelligence and Analytics

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#
urn
change_date
dar
dars
udprn
building_reference_number
current_energy_rating
potential_energy_rating
current_energy_efficiency
potential_energy_efficiency
property_type
built_form
inspection_date
lodgement_date
transaction_type
environment_impact_current
environment_impact_potential
energy_consumption_current
energy_consumption_potential
co2_emissions_current
co2_emiss_curr_per_floor_area
co2_emissions_potential
lighting_cost_current
lighting_cost_potential
heating_cost_current
heating_cost_potential
hot_water_cost_current
hot_water_cost_potential
total_floor_area
energy_tariff
mains_gas_flag
floor_level
flat_top_storey
flat_storey_count
main_heating_controls
multi_glaze_proportion
glazed_type
glazed_area
extension_count
number_habitable_rooms
number_heated_rooms
low_energy_lighting
number_open_fireplaces
hotwater_description
hot_water_energy_eff
hot_water_env_eff
floor_description
floor_energy_eff
floor_env_eff
windows_description
windows_energy_eff
windows_env_eff
walls_description
walls_energy_eff
walls_env_eff
secondheat_description
sheating_energy_eff
sheating_env_eff
roof_description
roof_energy_eff
roof_env_eff
mainheat_description
mainheat_energy_eff
mainheat_env_eff
mainheatcont_description
mainheatc_energy_eff
mainheatc_env_eff
lighting_description
lighting_energy_eff
lighting_env_eff
main_fuel
wind_turbine_count
heat_loss_corridoor
unheated_corridor_length
floor_height
photo_supply
solar_water_heating_flag
mechanical_ventilation
tenure
fixed_lighting_outlets_count
low_energy_fixed_light_count
construction_age_band
uprn
uprn_source
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Sign In To Preview Data
#
urn
change_date
dar
dars
udprn
title_number
tenure
property_type
postcode
price_paid
overseas_ownership
status
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx
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... xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx
Sign In To Preview Data
#
urn
change_date
dar
dars
udprn
source
department_name
organisation_name
address_division
building_name
building_number
road
road_sub
post_town_sub_division
post_town_division
post_town
postcode
country
built
commercial
residential
shared_letter_box
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx
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Sign In To Preview Data
#
urn
change_date
dar
dars
udprn
doorda_person_number
company_status
appointment_type
appointment_date
resignation_date
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx
2 xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx
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... xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx
Sign In To Preview Data
#
urn
change_date
dar
dars
udprn
transaction_price
transaction_date
property_type
new_build
tenure
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx
2 Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx
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Sign In To Preview Data
Volume
34M
Addresses
Data Quality
100%
UK Coverage
Avail. Format
.csv
File
Coverage
1
Country

Data Dictionary

[Sample] Residential Energy Performance.csv
Attribute Type Example Mapping
urn
Integer 21324434
change_date
DateTime 2024-03-31T00:00:00+00:00
dar
String D1000S5UC
dars
String D1000S5UC-00001
udprn
Float 1329306.0
String ## **** *** **** *****, *********, **# #** Address
building_reference_number
Integer 10005791944
current_energy_rating
String D
potential_energy_rating
String B
current_energy_efficiency
Float 61.0
potential_energy_efficiency
Float 83.0
property_type
String House
built_form
String Semi-Detached
inspection_date
DateTime 2024-03-29T00:00:00+00:00
lodgement_date
DateTime 2024-03-31T00:00:00+00:00
transaction_type
String marketed sale
environment_impact_current
Float 55.0
environment_impact_potential
Float 81.0
energy_consumption_current
Float 306.0
energy_consumption_potential
Float 132.0
co2_emissions_current
Float 4.0
co2_emiss_curr_per_floor_area
Float 54.0
co2_emissions_potential
Float 1.8
lighting_cost_current
Float 142.0
lighting_cost_potential
Float 104.0
heating_cost_current
Float 1324.0
heating_cost_potential
Float 907.0
hot_water_cost_current
Float 143.0
hot_water_cost_potential
Float 89.0
total_floor_area
Float 75.0
energy_tariff
String Single
mains_gas_flag
Boolean t
floor_level
flat_top_storey
flat_storey_count
main_heating_controls
multi_glaze_proportion
Float 90.0
glazed_type
String double glazing, unknown install date
glazed_area
String Normal
extension_count
Float 1.0
number_habitable_rooms
Float 4.0
number_heated_rooms
Float 4.0
low_energy_lighting
Float 64.0
number_open_fireplaces
Float 0.0
hotwater_description
String From main system
hot_water_energy_eff
String Good
hot_water_env_eff
String Good
floor_description
String Suspended, no insulation (assumed)
floor_energy_eff
floor_env_eff
windows_description
String Mostly double glazing
windows_energy_eff
String Average
windows_env_eff
String Average
walls_description
String Cavity wall, as built, no insulation (assumed)
walls_energy_eff
String Poor
walls_env_eff
String Poor
secondheat_description
String Room heaters, mains gas
sheating_energy_eff
String
sheating_env_eff
String
roof_description
String Pitched, 270 mm loft insulation
roof_energy_eff
String Good
roof_env_eff
String Good
mainheat_description
String Boiler and radiators, mains gas
mainheat_energy_eff
String Good
mainheat_env_eff
String Good
mainheatcont_description
String Programmer and room thermostat
mainheatc_energy_eff
String Average
mainheatc_env_eff
String Average
lighting_description
String Low energy lighting in 64% of fixed outlets
lighting_energy_eff
String Good
lighting_env_eff
String Good
main_fuel
String mains gas (not community)
wind_turbine_count
Float 0.0
heat_loss_corridoor
unheated_corridor_length
floor_height
Float 2.59
photo_supply
Float 0.0
solar_water_heating_flag
Boolean f
mechanical_ventilation
String natural
tenure
String Owner-occupied
fixed_lighting_outlets_count
Float 11.0
low_energy_fixed_light_count
construction_age_band
String England and Wales: 1930-1949
uprn
Integer 100010731777
uprn_source
String Energy Assessor
[Sample] Commercial Owners.csv
Attribute Type Example Mapping
urn
Integer 5602733
change_date
DateTime 2024-04-01T00:00:00+00:00
dar
String D100ESNCS
dars
String D100ESNCS-00001
udprn
Integer 24686577
title_number
String TT151027
tenure
String Freehold
property_type
String PROPERTY
String **********, ****** ****, ********* **## #** Address
postcode
String TN17 2PL
price_paid
Float 370000.0
overseas_ownership
Boolean f
status
String active
[Sample] Core Address List.csv
Attribute Type Example Mapping
urn
Integer 31792657
change_date
DateTime 2024-04-01T00:00:00+00:00
dar
String D10001W17
dars
String D10001W17-00001
udprn
Integer 55734183
source
String PAF
String ## ********* ****, *********, ********, **## #** Address
department_name
String
organisation_name
String
address_division
String
building_name
String
building_number
Integer 31
road
String FERROCHIE ROAD
road_sub
String
post_town_sub_division
String
post_town_division
String GRANDHOME
post_town
String ABERDEEN
postcode
String AB22 9AU
country
String Scotland
Float 57.191328 Latitude
Float -2.1334 Longitude
built
Boolean t
commercial
Boolean
residential
Boolean
shared_letter_box
Boolean f
[Sample] Correspondence Addresses.csv
Attribute Type Example Mapping
urn
Integer 17141662
change_date
String 29/03/2024
dar
String D10006YWQ
dars
String D10006YWQ-00001
udprn
Integer 312550
String ## ******* **** ****** *****, ***** *****, ********, ****... Address
Integer 9843408 Company ID
doorda_person_number
String DS09443205
company_status
String Active
appointment_type
String Current Director
appointment_date
String 27/10/2015
resignation_date
Date
[Sample] Residential Property Sale.csv
Attribute Type Example Mapping
urn
Integer 5879638
change_date
DateTime 2023-12-28T00:00:00+00:00
dar
String D1001EYIV
dars
String D1001EYIV-00001
udprn
Integer 672119
String #, ****** **** ********, **********, **** ******, **## #** Address
transaction_price
Integer 142500
transaction_date
DateTime 2023-12-28T00:00:00+00:00
property_type
String terraced
new_build
Boolean f
tenure
String freehold

Description

Explore Doorda's UK Residential Real Estate Data, offering insights into 34M+ Addresses sourced from 20 data sources. Unlock business intelligence and analytics capabilities.
Doorda's UK Residential Real Estate Data provides a comprehensive database of over 34 million addresses sourced from 20 data sources, offering unparalleled insights for business intelligence and analytics purposes. Volume and stats: - 34M Addressable locations - 6M Addresses linked to Commercial Owner - 24M Energy Performance Inspections Our Residential Real Estate Data offers a multitude of use cases: - Market Analysis - Competitor Analysis - Lead Generation - Risk Management - Location Planning The key benefits of leveraging our Residential Real Estate Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.

Country Coverage

Europe (1)
United Kingdom

Volume

34 million Addresses
20 Data Sources
24 million Energy Inspections

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
UK Coverage

Delivery

Methods
UI Export
REST API
Frequency
monthly
quarterly
Format
.csv

Use Cases

Categories

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Frequently asked questions

What is Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics?

Explore Doorda’s UK Residential Real Estate Data, offering insights into 34M+ Addresses sourced from 20 data sources. Unlock business intelligence and analytics capabilities.

What is Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics used for?

This product has 5 key use cases. Doorda recommends using the data for Address Validation, Real Estate Insights, Location Planning, Data Augmentation, and Address Data Enrichment. Global businesses and organizations buy Energy Consumption Data from Doorda to fuel their analytics and enrichment.

Who can use Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Energy Consumption Data. Get in touch with Doorda to see what their data can do for your business and find out which integrations they provide.

Which countries does Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics cover?

This product includes data covering 1 country like United Kingdom. Doorda is headquartered in United Kingdom.

How much does Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics cost?

Pricing information for Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics is available by getting in contact with Doorda. Connect with Doorda to get a quote and arrange custom pricing models based on your data requirements.

How can I get Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics?

Businesses can buy Energy Consumption Data from Doorda and get the data via UI Export and REST API. Depending on your data requirements and subscription budget, Doorda can deliver this product in .csv format.

What is the data quality of Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics?

Doorda has reported that this product has the following quality and accuracy assurances: 100% UK Coverage. You can compare and assess the data quality of Doorda using Datarade’s data marketplace.

What are similar products to Doorda UK Residential Real Estate Data Property Data & Rental Data 34M+ Addresses from 20 Data Sources Business Intelligence and Analytics?

This product has 3 related products. These alternatives include CrawlBee Apartments.com Rental Data Real Estate Data Property Listings, McGRAW 1.3 MM Real Estate Professionals Data U.S. Real Estate Marketing Data for Mailing Lists, and BatchData Property Data Search/Lookup API - Residential Real Estate Data and Commercial Real Estate Data. You can compare the best Energy Consumption Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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