Doorda UK Population Data | Geodemographic Data | Linked to 2.2M+ Postcodes from 173 Data Sources | Location Intelligence and Analytics product image in hero

Doorda UK Population Data | Geodemographic Data | Linked to 2.2M+ Postcodes from 173 Data Sources | Location Intelligence and Analytics

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urn
change_date
msoa
period
total_annual_income_average
total_annual_income_upper_confidence_limit
total_annual_income_lower_confidence_limit
total_annual_income_confidence_interval
net_annual_income_average
net_annual_income_upper_confidence_limit
net_annual_income_lower_confidence_limit
net_annual_income_confidence_interval
net_annual_income_before_housing_average
net_annual_income_before_housing_upper_confidence_limit
net_annual_income_before_housing_lower_confidence_limit
net_annual_income_before_housing_confidence_interval
net_annual_income_after_housing_average
net_annual_income_after_housing_upper_confidence_limit
net_annual_income_after_housing_lower_confidence_limit
net_annual_income_after_housing_confidence_interval
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Volume
2.2M
Postcodes
Data Quality
100%
UK Coverage
Avail. Format
.csv
File
Coverage
1
Country

Data Dictionary

[Sample] Household Income
Attribute Type Example Mapping
urn
Integer 7300
change_date
DateTime 2020-03-05T00:00:00+00:00
msoa
String E02002501
period
DateTime 2018-01-01T00:00:00+00:00
total_annual_income_average
Float 29700.0
total_annual_income_upper_confidence_limit
Float 35600.0
total_annual_income_lower_confidence_limit
Float 24800.0
total_annual_income_confidence_interval
Float 10800.0
net_annual_income_average
Float 27400.0
net_annual_income_upper_confidence_limit
Float 32300.0
net_annual_income_lower_confidence_limit
Float 23300.0
net_annual_income_confidence_interval
Float 9000.0
net_annual_income_before_housing_average
Float 24200.0
net_annual_income_before_housing_upper_confidence_limit
Float 27500.0
net_annual_income_before_housing_lower_confidence_limit
Float 21300.0
net_annual_income_before_housing_confidence_interval
Float 6200.0
net_annual_income_after_housing_average
Float 19100.0
net_annual_income_after_housing_upper_confidence_limit
Float 20900.0
net_annual_income_after_housing_lower_confidence_limit
Float 17500.0
net_annual_income_after_housing_confidence_interval
Float 3400.0
[Sample] Postcode Index
Attribute Type Example Mapping
urn
Integer 2109820
change_date
DateTime 2023-11-29T00:00:00+00:00
String SN11 8UY Postal Code
postcode_introduce
DateTime 1980-01-01T00:00:00+00:00
postcode_terminated
DateTime
oa_2001
String E00162886
oa_classification_2001
String 4B1
oa_classification_2001_description
String Prospering older families
oa_2011
String E00162886
oa_classification_2011
String 6A3
oa_classification_2011_description
String Suburban achievers
lsoa_2001
String E01031938
lsoa_2001_description
String North Wiltshire 012D
lsoa_2011
String E01031938
lsoa_2011_description
String Wiltshire 013D
msoa_2001
String E02006655
msoa_2001_description
String North Wiltshire 012
msoa_2011
String E02006655
msoa_2011_description
String Wiltshire 013
rural_urban_classification_2001
Integer 7
rural_urban_classification_2001_description
String (England/Wales) Village – less sparse: OA falls within th...
rural_urban_classification_2011
String E1
rural_urban_classification_2011_description
String (England/Wales) Rural village
easting
Integer 404040
northing
Integer 170084
easting_northing_quality
Integer 1
Float 51.4297 Latitude
Float -1.943773 Longitude
local_authority_district
String E06000054
local_authority_district_description
String Wiltshire
country
String E92000001
country_description
String England
region
String E12000009
region_description
String South West
county
String E99999999
county_description
String (pseudo) England (UA/MD/LB)
county_electoral_division
String E99999999
county_electoral_division_description
String
ward
String E05013414
ward_description
String Calne Rural
statistical_ward
String 46UCHY
statistical_ward_description
String Hilmarton
census_area_statistics_ward
String 46UCHY
census_area_statistics_ward_description
String Hilmarton
parish
String E04011666
parish_description
String Cherhill
national_park
String E65000001
national_park_description
String
postcode_user_type
Integer 0
workplace_zone
String E33050606
bua
String E34001349
bua_description
String Cherhill BUA
bua_sub_division
String E35999999
bua_sub_division_description
String England (not covered)
ccg_ons_code
String E38000231
ccg_nhs_code
String 92G
ccg_description
String NHS Bath and North East Somerset, Swindon and Wiltshire CCG
strategic_health_authority
String E18000010
strategic_health_authority_description
String South West
nhs_region
String E40000006
nhs_region_description
String South West
primary_care_trust
String E16000140
primary_care_trust_description
String Wiltshire
national_cancer_vanguard
String E56000033
national_cancer_vanguard_description
String Somerset, Wiltshire, Avon and Gloucestershire
standard_statistical_region
Integer 6
standard_statistical_region_description
String South West
westminster_parliamentary_constituency
String E14000860
westminster_parliamentary_constituency_description
String North Wiltshire
european_electoral_region
String E15000009
european_electoral_region_description
String South West
local_learning_and_skills_council
String E24000036
local_learning_and_skills_council_description
String Wiltshire and Swindon
travel_to_work_area
String E30000276
travel_to_work_area_description
String Swindon
lau2
String E06000054
lau2_description
String
local_enterprise_partnership_primary
String E37000033
local_enterprise_partnership_primary_description
String Swindon and Wiltshire
local_enterprise_partnership_secondary
String
local_enterprise_partnership_secondary_description
String
police_force_area
String E23000038
police_force_area_description
String Wiltshire
sustainability_transformation_partnership
String E54000040
sustainability_transformation_partnership_description
String Bath and North East Somerset, Swindon and Wiltshire
index_multiple_deprivation
Integer 21300
[Sample] Population Estimates
Attribute Type Example Mapping
urn
Integer 1812483
change_date
DateTime 2021-10-12T00:00:00+00:00
oa
String W00008592
period
DateTime 2020-01-01T00:00:00+00:00
total_male
Float 140.0
male_age_0
Float 2.0
male_age_1
Float 0.0
male_age_2
Float 0.0
male_age_3
Float 3.0
male_age_4
Float 3.0
male_age_5
Float 0.0
male_age_6
Float 0.0
male_age_7
Float 4.0
male_age_8
Float 2.0
male_age_9
Float 0.0
male_age_10
Float 0.0
male_age_11
Float 3.0
male_age_12
Float 0.0
male_age_13
Float 2.0
male_age_14
Float 1.0
male_age_15
Float 0.0
male_age_16
Float 0.0
male_age_17
Float 1.0
male_age_18
Float 2.0
male_age_19
Float 1.0
male_age_20
Float 3.0
male_age_21
Float 1.0
male_age_22
Float 2.0
male_age_23
Float 2.0
male_age_24
Float 0.0
male_age_25
Float 1.0
male_age_26
Float 3.0
male_age_27
Float 1.0
male_age_28
Float 1.0
male_age_29
Float 2.0
male_age_30
Float 0.0
male_age_31
Float 2.0
male_age_32
Float 1.0
male_age_33
Float 1.0
male_age_34
Float 2.0
male_age_35
Float 0.0
male_age_36
Float 2.0
male_age_37
Float 2.0
male_age_38
Float 3.0
male_age_39
Float 0.0
male_age_40
Float 0.0
male_age_41
Float 0.0
male_age_42
Float 1.0
male_age_43
Float 0.0
male_age_44
Float 1.0
male_age_45
Float 2.0
male_age_46
Float 4.0
male_age_47
Float 2.0
male_age_48
Float 2.0
male_age_49
Float 1.0
male_age_50
Float 2.0
male_age_51
Float 3.0
male_age_52
Float 3.0
male_age_53
Float 2.0
male_age_54
Float 1.0
male_age_55
Float 0.0
male_age_56
Float 5.0
male_age_57
Float 4.0
male_age_58
Float 2.0
male_age_59
Float 1.0
male_age_60
Float 2.0
male_age_61
Float 3.0
male_age_62
Float 2.0
male_age_63
Float 2.0
male_age_64
Float 2.0
male_age_65
Float 0.0
male_age_66
Float 2.0
male_age_67
Float 4.0
male_age_68
Float 0.0
male_age_69
Float 1.0
male_age_70
Float 1.0
male_age_71
Float 2.0
male_age_72
Float 2.0
male_age_73
Float 2.0
male_age_74
Float 1.0
male_age_75
Float 5.0
male_age_76
Float 4.0
male_age_77
Float 0.0
male_age_78
Float 2.0
male_age_79
Float 1.0
male_age_80
Float 2.0
male_age_81
Float 4.0
male_age_82
Float 4.0
male_age_83
Float 1.0
male_age_84
Float 1.0
male_age_85
Float 0.0
male_age_86
Float 0.0
male_age_87
Float 0.0
male_age_88
Float 1.0
male_age_89
Float 0.0
male_age_90_plus
Float 0.0
total_female
Float 126.0
female_age_0
Float 1.0
female_age_1
Float 0.0
female_age_2
Float 0.0
female_age_3
Float 1.0
female_age_4
Float 0.0
female_age_5
Float 0.0
female_age_6
Float 0.0
female_age_7
Float 0.0
female_age_8
Float 0.0
female_age_9
Float 1.0
female_age_10
Float 0.0
female_age_11
Float 0.0
female_age_12
Float 1.0
female_age_13
Float 0.0
female_age_14
Float 1.0
female_age_15
Float 0.0
female_age_16
Float 2.0
female_age_17
Float 0.0
female_age_18
Float 0.0
female_age_19
Float 3.0
female_age_20
Float 1.0
female_age_21
Float 1.0
female_age_22
Float 0.0
female_age_23
Float 1.0
female_age_24
Float 2.0
female_age_25
Float 0.0
female_age_26
Float 1.0
female_age_27
Float 3.0
female_age_28
Float 0.0
female_age_29
Float 0.0
female_age_30
Float 1.0
female_age_31
Float 1.0
female_age_32
Float 1.0
female_age_33
Float 0.0
female_age_34
Float 0.0
female_age_35
Float 0.0
female_age_36
Float 2.0
female_age_37
Float 1.0
female_age_38
Float 1.0
female_age_39
Float 0.0
female_age_40
Float 1.0
female_age_41
Float 3.0
female_age_42
Float 1.0
female_age_43
Float 0.0
female_age_44
Float 0.0
female_age_45
Float 0.0
female_age_46
Float 1.0
female_age_47
Float 2.0
female_age_48
Float 1.0
female_age_49
Float 2.0
female_age_50
Float 1.0
female_age_51
Float 5.0
female_age_52
Float 3.0
female_age_53
Float 3.0
female_age_54
Float 1.0
female_age_55
Float 3.0
female_age_56
Float 2.0
female_age_57
Float 1.0
female_age_58
Float 3.0
female_age_59
Float 0.0
female_age_60
Float 2.0
female_age_61
Float 1.0
female_age_62
Float 3.0
female_age_63
Float 2.0
female_age_64
Float 2.0
female_age_65
Float 0.0
female_age_66
Float 2.0
female_age_67
Float 0.0
female_age_68
Float 2.0
female_age_69
Float 0.0
female_age_70
Float 1.0
female_age_71
Float 9.0
female_age_72
Float 2.0
female_age_73
Float 3.0
female_age_74
Float 2.0
female_age_75
Float 2.0
female_age_76
Float 0.0
female_age_77
Float 3.0
female_age_78
Float 3.0
female_age_79
Float 2.0
female_age_80
Float 6.0
female_age_81
Float 3.0
female_age_82
Float 2.0
female_age_83
Float 3.0
female_age_84
Float 5.0
female_age_85
Float 0.0
female_age_86
Float 2.0
female_age_87
Float 2.0
female_age_88
Float 0.0
female_age_89
Float 0.0
female_age_90_plus
Float 3.0
[Sample] Household Spend Food
Attribute Type Example Mapping
urn
Integer 69
change_date
DateTime 2023-05-31T00:00:00+00:00
income_decile
Float 9.0
period
DateTime 2022-01-01T00:00:00+00:00
bread_rice_and_cereal
Float 7.4
pasta
Float 0.6
buns_cakes_and_biscuits
Float 5.8
savoury_pastry
Float 1.3
beef
Float 2.3
pork
Float 0.6
lamb
Float 0.6
poultry
Float 2.9
bacon_and_ham
Float 1.0
other_meat
Float 8.4
fish
Float 4.1
milk
Float 2.1
cheese
Float 3.2
eggs
Float 1.0
other_dairy_products
Float 3.3
butter
Float 0.6
margarine_veg_fats_and_peanut_butter
Float 0.7
cooking_oil_and_fats
Float 0.5
fresh_fruit
Float 5.2
chilled_or_frozen_fruits
Float 0.7
fried_fruit_and_nuts
Float 1.2
preserved_fruit_and_fruit_based_products
Float 0.2
fresh_vegetables
Float 6.0
fried_vegetables
other_preserved_processed_vegetables
Float 3.1
potatoes
Float 0.7
other_tuber_vegetables
Float 2.5
sugar
Float 0.6
jams_and_marmalades
Float 0.5
chocolate
Float 2.9
confectionery
Float 1.1
edible_ice_and_ice_cream
Float 1.2
other_food
Float 4.1
coffee
Float 1.3
tea
Float 0.6
cocoa_and_powdered_chocolate
Float 0.2
fruit_and_vegetable_juices
Float 1.6
mineral_spring_water
Float 0.5
soft_drinks
Float 3.0
[Sample] Deprivation Indices
Attribute Type Example Mapping
urn
Integer 3
change_date
DateTime 2019-09-27T00:00:00+00:00
lsoa
String E01031351
period
DateTime 2019-01-01T00:00:00+00:00
imd_rank
Integer 21496
imd_decile
Integer 6
income_rank
Integer 22492
income_decile
Integer 6
employment_rank
Integer 20663
employment_decile
Integer 6
health_disability_rank
Integer 21271
health_disability_decile
Integer 6
education_rank
Integer 10364
education_decile
Integer 3
access_to_service_rank
Integer 27442
access_to_service_decile
Integer 8
living_environment_rank
Integer 19181
living_environment_decile
Integer 5
crime_rank
Integer 12742
crime_decile
Integer 3
[Sample] Reported Crime
Attribute Type Example Mapping
urn
Integer 80329326
change_date
DateTime 2024-01-25T00:00:00+00:00
lsoa
String E01004661
period
DateTime 2023-12-01T00:00:00+00:00
crime_id
String
police_force_reporting
String Metropolitan Police Service
police_force_area
String Metropolitan Police Service
Float -0.169111 Longitude
Float 51.519247 Longitude
crime_location_approx
String On or near Praed Street
crime_type
String Anti-social behaviour
crime_last_outcome
String
easting
Integer 527129
northing
Integer 181625
[Sample] Universal Credit Claimants
Attribute Type Example Mapping
urn
Integer 28697607
change_date
DateTime 2024-01-01T00:00:00+00:00
oa
String E00066187
period
DateTime 2024-01-01T00:00:00+00:00
total_claimants
Float 0.0
total_male
Float 0.0
male_16_to_19
Float 0.0
male_20_to_24
Float 0.0
male_25_to_29
Float 0.0
male_30_to_34
Float 0.0
male_35_to_39
Float 0.0
male_40_to_44
Float 0.0
male_45_to_49
Float 0.0
male_50_to_54
Float 0.0
male_55_to_59
Float 0.0
male_60_to_65
Float 0.0
male_over_65
Float 0.0
total_female
Float 0.0
female_16_to_19
Float 0.0
female_20_to_24
Float 0.0
female_25_to_29
Float 0.0
female_30_to_34
Float 0.0
female_35_to_39
Float 0.0
female_40_to_44
Float 0.0
female_45_to_49
Float 0.0
female_50_to_54
Float 0.0
female_55_to_59
Float 0.0
female_60_to_65
Float 0.0
female_over_65
Float 0.0
[Sample] Household Tenure
Attribute Type Example Mapping
urn
Integer 232395
change_date
DateTime 2023-03-21T00:00:00+00:00
oa
String E00000122
period
DateTime 2021-03-21T00:00:00+00:00
total_household
Integer 117
total_household_owned
Integer 59
household_tenure_owned_outright
Integer 23
household_tenure_owned_with_mortgage_loan
Integer 36
household_tenure_shared_ownership
Integer 10
total_household_social_rented
Integer 19
household_tenure_rented_from_council
Integer 18
household_tenure_other_social_rented
Integer 1
total_household_private_rented
Integer 29
household_tenure_private_landlord_or_agency
Integer 17
household_tenure_employer_of_household_member
Integer
household_tenure_relative_or_friend_of_household_member
Integer
household_tenure_other_private_rental
Integer 12
household_tenure_living_rent_free
Integer 0
[Sample] Pension Credit
Attribute Type Example Mapping
urn
Integer 4327501
change_date
DateTime 2023-08-01T00:00:00+00:00
oa
String E00066187
period
DateTime 2023-08-01T00:00:00+00:00
total_claimants
Float 0.0
total_male
Float 0.0
male_under_65
Float 0.0
male_65_to_69
Float 0.0
male_70_to_74
Float 0.0
male_75_to_79
Float 0.0
male_80_to_84
Float 0.0
male_85_to_89
Float 0.0
male_90_and_over
Float 0.0
total_female
Float 0.0
female_under_65
Float 0.0
female_65_to_69
Float 0.0
female_70_to_74
Float 0.0
female_75_to_79
Float 0.0
female_80_to_84
Float 0.0
female_85_to_89
Float 0.0
female_90_and_over
Float 0.0

Description

Explore Doorda's UK Geodemographic Data, offering insights into 2.2M+ Postcodes, linked to 230k Output Areas sourced from 173 data sources. Unlock location intelligence and targeted marketing capabilities.
Doorda's UK Geodemographic Data provides a comprehensive database of over 2.2 million Postcodes, linked to 230 thousand Output Areas sourced from 173 data sources, offering unparalleled insights for location intelligence and modelling purposes. Volume and stats: - 2.2M Postcodes locations - 230K Comparable output areas linked to postcodes - Consolidated UK census from England & Wales, Scotland and Northern Ireland Our Geodemographic Data offers a multitude of use cases: - Market Analysis - Competitor Analysis - Targeted Marketing - Customer Segmentation - Location Planning The key benefits of leveraging our Geodemographic 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

2.2 million Postcodes
173 Data Sources
23,000 Comparable Areas

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

Related Searches

Related Products

Frequently asked questions

What is Doorda UK Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics?

Explore Doorda’s UK Geodemographic Data, offering insights into 2.2M+ Postcodes, linked to 230k Output Areas sourced from 173 data sources. Unlock location intelligence and targeted marketing capabilities.

What is Doorda UK Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics used for?

This product has 5 key use cases. Doorda recommends using the data for Data Enrichment, Data Modeling, Location Planning, Data Augmentation, and Data Driven Marketing. Global businesses and organizations buy Demographic Data from Doorda to fuel their analytics and enrichment.

Who can use Doorda UK Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Demographic 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 Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics cover?

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

How much does Doorda UK Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics cost?

Pricing information for Doorda UK Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location 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 Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics?

Businesses can buy Demographic 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 Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location 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 Population Data Geodemographic Data Linked to 2.2M+ Postcodes from 173 Data Sources Location Intelligence and Analytics?

This product has 3 related products. These alternatives include Global Demographic data Geodemographic data Consumer data Audience targeting data, Doorda UK Vulnerability Data Location Data 1.8M Postcodes from 30 Data Sources Location Intelligence and Analytics, and Demographic Data Append (Income, Home Value, Financial Data, etc) Enrichment, USA, CCPA Compliant. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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