Doorda UK Health Data | Demographic Patient Data: 20 Data Sources | Local Health Insights for 1.8M Postcodes

oa	postcode	female_18_to_24_smoker	male_18_to_24_smoker	female_25_to_29_smoker	male_25_to_29_smoker	female_30_to_34_smoker	male_30_to_34_smoker	female_35_to_39_smoker	male_35_to_39_smoker	female_40_to_44_smoker	male_40_to_44_smoker	female_45_to_49_smoker	male_45_to_49_smoker	female_50_to_54_smoker	male_50_to_54_smoker	female_55_to_59_smoker	male_55_to_59_smoker	female_60_to_64_smoker	male_60_to_64_smoker	female_65_to_69_smoker	male_65_to_69_smoker	female_70_to_74_smoker	male_70_to_74_smoker	female_75_to_79_smoker	male_75_to_79_smoker	female_80_to_84_smoker	male_80_to_84_smoker	female_85_plus_smoker	male_85_plus_smoker
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Volume

1.8M

Postcodes

Data Quality

100%

UK Coverage

Avail. Format

.csv

File

Coverage

Country

[Sample] Health Smoking Propensity

Attribute	Type	Example	Mapping
oa	String	E00056750
postcode	String	LS19 7EN	Postal Code
female_18_to_24_smoker	Float	0.210758697
male_18_to_24_smoker	Float	0.312919024
female_25_to_29_smoker	Float	0.172603282
male_25_to_29_smoker	Float	0.314970591
female_30_to_34_smoker	Float	0.153762414
male_30_to_34_smoker	Float	0.290941907
female_35_to_39_smoker	Float	0.159296167
male_35_to_39_smoker	Float	0.269501668
female_40_to_44_smoker	Float	0.162987722
male_40_to_44_smoker	Float	0.254487041
female_45_to_49_smoker	Float	0.182737586
male_45_to_49_smoker	Float	0.247450076
female_50_to_54_smoker	Float	0.201597852
male_50_to_54_smoker	Float	0.234922362
female_55_to_59_smoker	Float	0.218614018
male_55_to_59_smoker	Float	0.229160602
female_60_to_64_smoker	Float	0.20418405
male_60_to_64_smoker	Float	0.206313427
female_65_to_69_smoker	Float	0.161956048
male_65_to_69_smoker	Float	0.173615642
female_70_to_74_smoker	Float	0.116861935
male_70_to_74_smoker	Float	0.133676997
female_75_to_79_smoker	Float	0.078307721
male_75_to_79_smoker	Float	0.095573297
female_80_to_84_smoker	Float	0.068869307
male_80_to_84_smoker	Float	0.086068193
female_85_plus_smoker	Float	0.066380055
male_85_plus_smoker	Float	0.083979159

[Sample] Health Biological Age

Attribute	Type	Example	Mapping
oa	String	E00056758
postcode	String	LS19 7JL	Postal Code
female_18_to_24_bio_age	Float	20.89
male_18_to_24_bio_age	Float	20.8
female_25_to_29_bio_age	Float	26.45
male_25_to_29_bio_age	Float	25.88
female_30_to_34_bio_age	Float	31.36
male_30_to_34_bio_age	Float	30.57
female_35_to_39_bio_age	Float	36.36
male_35_to_39_bio_age	Float	35.71
female_40_to_44_bio_age	Float	41.47
male_40_to_44_bio_age	Float	41.04
female_45_to_49_bio_age	Float	46.65
male_45_to_49_bio_age	Float	46.45
female_50_to_54_bio_age	Float	51.75
male_50_to_54_bio_age	Float	51.82
female_55_to_59_bio_age	Float	56.92
male_55_to_59_bio_age	Float	57.08
female_60_to_64_bio_age	Integer	62
male_60_to_64_bio_age	Float	62.15
female_65_to_69_bio_age	Float	67.13
male_65_to_69_bio_age	Float	67.13
female_70_to_74_bio_age	Float	72.12
male_70_to_74_bio_age	Float	72.06
female_75_to_79_bio_age	Float	77.11
male_75_to_79_bio_age	Float	76.99
female_80_to_84_bio_age	Float	81.99
male_80_to_84_bio_age	Float	81.99
female_85_plus_bio_age	Float	86.87
male_85_plus_bio_age	Integer	87
female_18_to_24_bio_age_diff	Float	-0.11
male_18_to_24_bio_age_diff	Float	-0.2
female_25_to_29_bio_age_diff	Float	-0.55
male_25_to_29_bio_age_diff	Float	-1.12
female_30_to_34_bio_age_diff	Float	-0.64
male_30_to_34_bio_age_diff	Float	-1.43
female_35_to_39_bio_age_diff	Float	-0.64
male_35_to_39_bio_age_diff	Float	-1.29
female_40_to_44_bio_age_diff	Float	-0.53
male_40_to_44_bio_age_diff	Float	-0.96
female_45_to_49_bio_age_diff	Float	-0.35
male_45_to_49_bio_age_diff	Float	-0.55
female_50_to_54_bio_age_diff	Float	-0.25
male_50_to_54_bio_age_diff	Float	-0.18
female_55_to_59_bio_age_diff	Float	-0.08
male_55_to_59_bio_age_diff	Float	0.08
female_60_to_64_bio_age_diff	Integer	0
male_60_to_64_bio_age_diff	Float	0.15
female_65_to_69_bio_age_diff	Float	0.13
male_65_to_69_bio_age_diff	Float	0.13
female_70_to_74_bio_age_diff	Float	0.12
male_70_to_74_bio_age_diff	Float	0.06
female_75_to_79_bio_age_diff	Float	0.11
male_75_to_79_bio_age_diff	Float	-0.01
female_80_to_84_bio_age_diff	Float	-0.01
male_80_to_84_bio_age_diff	Float	-0.01
female_85_plus_bio_age_diff	Float	-0.13
male_85_plus_bio_age_diff55055	Integer	0

[Sample] Health Mortality Smr

Attribute	Type	Example	Mapping
oa	String	E00056754
postcode	String	LS19 7PZ	Postal Code
female_18_to_24_smr	Float	0.97
male_18_to_24_smr	Float	0.97
female_25_to_29_smr	Float	0.93
male_25_to_29_smr	Float	0.93
female_30_to_34_smr	Float	0.91
male_30_to_34_smr	Float	0.91
female_35_to_39_smr	Float	0.91
male_35_to_39_smr	Float	0.92
female_40_to_44_smr	Float	0.91
male_40_to_44_smr	Float	0.92
female_45_to_49_smr	Float	0.93
male_45_to_49_smr	Float	0.92
female_50_to_54_smr	Float	0.96
male_50_to_54_smr	Float	0.92
female_55_to_59_smr	Float	0.98
male_55_to_59_smr	Float	0.92
female_60_to_64_smr	Float	0.99
male_60_to_64_smr	Float	0.92
female_65_to_69_smr	Float	0.99
male_65_to_69_smr	Float	0.93
female_70_to_74_smr	Float	0.98
male_70_to_74_smr	Float	0.94
female_75_to_79_smr	Float	0.98
male_75_to_79_smr	Float	0.98
female_80_to_84_smr	Float	0.98
male_80_to_84_smr	Float	1.04
female_85_plus_smr	Float	0.98
male_85_plus_smr	Float	1.12

[Sample] Health Life Expectancy

Attribute	Type	Example	Mapping
oa	String	E00056750
postcode	String	LS19 7EN	Postal Code
female_18_to_24_life_exp	Float	62.01
male_18_to_24_life_exp	Float	57.68
female_25_to_29_life_exp	Float	56.47
male_25_to_29_life_exp	Float	52.04
female_30_to_34_life_exp	Float	51.84
male_30_to_34_life_exp	Float	47.4
female_35_to_39_life_exp	Float	47.04
male_35_to_39_life_exp	Float	42.8
female_40_to_44_life_exp	Float	42.03
male_40_to_44_life_exp	Float	38.09
female_45_to_49_life_exp	Float	36.76
male_45_to_49_life_exp	Float	33.29
female_50_to_54_life_exp	Float	31.43
male_50_to_54_life_exp	Float	28.3
female_55_to_59_life_exp	Float	26.6
male_55_to_59_life_exp	Float	23.62
female_60_to_64_life_exp	Float	22.29
male_60_to_64_life_exp	Float	19.55
female_65_to_69_life_exp	Float	18.21
male_65_to_69_life_exp	Float	15.71
female_70_to_74_life_exp	Float	14.39
male_70_to_74_life_exp	Float	12.22
female_75_to_79_life_exp	Float	10.85
male_75_to_79_life_exp	Integer	9
female_80_to_84_life_exp	Float	7.75
male_80_to_84_life_exp	Float	6.26
female_85_plus_life_exp	Float	5.31
male_85_plus_life_exp	Float	4.18
female_18_to_24_life_exp_diff	Float	-0.28
male_18_to_24_life_exp_diff	Float	-0.92
female_25_to_29_life_exp_diff	Float	0.09
male_25_to_29_life_exp_diff	Float	-0.74
female_30_to_34_life_exp_diff	Float	0.37
male_30_to_34_life_exp_diff	Float	-0.55
female_35_to_39_life_exp_diff	Float	0.45
male_35_to_39_life_exp_diff	Float	-0.36
female_40_to_44_life_exp_diff	Float	0.26
male_40_to_44_life_exp_diff	Float	-0.35
female_45_to_49_life_exp_diff	Float	-0.25
male_45_to_49_life_exp_diff	Float	-0.51
female_50_to_54_life_exp_diff	Float	-0.92
male_50_to_54_life_exp_diff	Float	-0.95
female_55_to_59_life_exp_diff	Float	-1.22
male_55_to_59_life_exp_diff	Float	-1.26
female_60_to_64_life_exp_diff	Float	-1.15
male_60_to_64_life_exp_diff	Float	-1.17
female_65_to_69_life_exp_diff	Float	-1.01
male_65_to_69_life_exp_diff	Float	-1.07
female_70_to_74_life_exp_diff	Float	-0.87
male_70_to_74_life_exp_diff	Float	-0.96
female_75_to_79_life_exp_diff	Float	-0.77
male_75_to_79_life_exp_diff	Float	-0.95
female_80_to_84_life_exp_diff	Float	-0.7
male_80_to_84_life_exp_diff	Float	-0.94
female_85_plus_life_exp_diff	Float	-0.61
male_85_plus_life_exp_diff55047	Float	-0.87

[Sample] Health Obesity Propensity

Attribute	Type	Example	Mapping
oa	String	E00056750
postcode	String	LS19 7EN	Postal Code
female_18_to_24_obese	Float	0.1993
male_18_to_24_obese	Float	0.203
female_25_to_29_obese	Float	0.2501
male_25_to_29_obese	Float	0.2186
female_30_to_34_obese	Float	0.2971
male_30_to_34_obese	Float	0.2561
female_35_to_39_obese	Float	0.2989
male_35_to_39_obese	Float	0.2804
female_40_to_44_obese	Float	0.3094
male_40_to_44_obese	Float	0.3252
female_45_to_49_obese	Float	0.3238
male_45_to_49_obese	Float	0.346
female_50_to_54_obese	Float	0.3476
male_50_to_54_obese	Float	0.3829
female_55_to_59_obese	Float	0.3865
male_55_to_59_obese	Float	0.4142
female_60_to_64_obese	Float	0.3952
male_60_to_64_obese	Float	0.4194
female_65_to_69_obese	Float	0.3613
male_65_to_69_obese	Float	0.3958
female_70_to_74_obese	Float	0.3542
male_70_to_74_obese	Float	0.3484
female_75_to_79_obese	Float	0.3502
male_75_to_79_obese	Float	0.3261
female_80_to_84_obese	Float	0.321
male_80_to_84_obese	Float	0.2463
female_85_plus_obese	Float	0.2733
male_85_plus_obese	Float	0.1854

Explore Doorda's UK Health Data, offering insights into 1.8M postcodes sourced from 20 data sources. These cover Obesity, Smoking, and Life expectancy to name a few. Unlock local health insights and analytics capabilities.

Doorda's UK Health Data provides a comprehensive database covering 1.8M postcodes sourced from 20 data sources, offering unparalleled insights for local area health insights and analytics purposes. Volume and stats: - 1.8M Postcodes - UK Coverage - Age and Gender bands Our Health Data offers a multitude of use cases: - Market Analysis - Geodemographic Insights - Risk Management - Location Planning The key benefits of leveraging our Health 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.

Europe (1)

United Kingdom

1.8 million	Postcodes
20	Data Sources
5	Unique Datasets

Free sample available

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

Request detailed pricing

Self-reported by the provider

100%

UK Coverage

Methods

Frequency

Format

Data Augmentation Address Data Enrichment

Healthcare Market Analysis

Healthcare Utilization Population Health Benchmarking

Demographic Data Patient Data Clinical Data Geodemographic Data Segmentation Data

Free sample preview

API available

Pricing available upon request

Pricing available upon request

Pricing available upon request

What is Doorda UK Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes?

Explore Doorda’s UK Health Data, offering insights into 1.8M postcodes sourced from 20 data sources. These cover Obesity, Smoking, and Life expectancy to name a few. Unlock local health insights and analytics capabilities.

What is Doorda UK Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes used for?

This product has 5 key use cases. Doorda recommends using the data for Data Augmentation, Address Data Enrichment, Healthcare Market Analysis, Healthcare Utilization, and Population Health Benchmarking. Global businesses and organizations buy Demographic Data from Doorda to fuel their analytics and enrichment.

Who can use Doorda UK Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes?

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 Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes cover?

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

How much does Doorda UK Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes cost?

Pricing information for Doorda UK Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes 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 Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes?

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 Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes?

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 Health Data Demographic Patient Data: 20 Data Sources Local Health Insights for 1.8M Postcodes?

This product has 3 related products. These alternatives include Doorda UK Vulnerability Data Location Data 1.8M Postcodes from 30 Data Sources Location Intelligence and Analytics, Demographic Data Append B2C, USA, CCPA Compliant, Basic, Household and Financial, Lifestyle and Interests Insights and more, and Demographic Data Asia & MENA Make Informed Business Decisions with High Quality and Granular Insights. 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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Monthly License	Available
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Doorda UK Health Data | Demographic Patient Data: 20 Data Sources | Local Health Insights for 1.8M Postcodes

Data Dictionary

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Demographic Data Append B2C, USA, CCPA Compliant, Basic, Household and Financial, Lifestyle and Interests Insights and more

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Demographic Data | Asia | 401M Verified Identity & Lifestyle Records Across 7 Markets 1datapipe

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Doorda UK Health Data | Demographic Patient Data: 20 Data Sources | Local Health Insights for 1.8M Postcodes

Data Dictionary

Description

Country Coverage

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Doorda UK Vulnerability Data | Location Data | 1.8M Postcodes from 30 Data Sources | Location Intelligence and Analytics

Demographic Data Append B2C, USA, CCPA Compliant, Basic, Household and Financial, Lifestyle and Interests Insights and more

Demographic Data | Asia & MENA | Make Informed Business Decisions with High Quality and Granular Insights

Demographic Data | Asia | 401M Verified Identity & Lifestyle Records Across 7 Markets 1datapipe

Frequently asked questions

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Trusted Data on Demand