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Version: 1.0.0 | Published: 3 Dec 2025 | Updated: 43 days ago
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SDR Sample Bulk Dataset

Dataset

Summary

Theme:
  • Environment
  • Transport
  • Health
Description:
A sample dataset for the sdr@1.0.0 schema
Access Tier:
  • Safeguarded
  • Controlled

Documentation

Documentation:
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Synthetic Data:
  • A synthetic version is available for testing purposes
  • A synthetic version is available for demonstrations

Coverage

Spatial

Spatial Coverage:
  • United Kingdom
  • Canada
Geographical Levels:
  • county
  • local authority district
  • national park

Temporal

Start Date:
20 March 2018
End Date:
19 August 2021
Frequency:
IRREGULAR
Date of Latest Release:
12 August 2025
Date of First Release:
14 March 2023
Temporal Aggregation:
  • Monthly
  • Point-in-Time

Location

Lower Left Latitude:
-30
Lower Left Longitude:
-30
Upper Right Latitude:
30
Upper Right Longitude:
30

Provenance

Origin

Purpose:
Data were originally collected for administrative purposes.
Source:
  • Administrative data
  • Web-scraped data
Collection Situation:
  • Secondary Care - In Patients
  • Collected manually on street survey
Collection Status:
Complete
Method of Collection:
The E-food desert index gives a modeled measures of the extent to which neighbourhoods exhibit characteristics associated with food deserts based on data in the 2011 census paired with historic data (2011-2020). Open data were used in combination with web-scraped data to capture food store accessibility. 12 indicators are combined across 4 domains, using an index calculation to capture food access.
Weighting:
The four domains all contribute 1/4 of the weighting of the overall index. The weightings of the indicators that make up each domain are outlined below. Proximity to and density of grocery retail facilities - Nearest large store (1/6) - Average distance to stores (1/6) - Count of stores within 1km (1/3) - Accessibility Index (1/3) Transport and accessibility - Drive time (1/3) - Accessibility via public transport (1/3) - Average travel distance (1/3) Neighbourhood socio-economic and demographic - No Car (1/3) - Pensioners (1/3) - Income Deprivation (1/3) E-commerce - Online groceries availability (1/2) - Propensity to shop online (1/2

Author 1

Affiliation Person:
Sample University
Family Name Person:
Smith
Given Name Person:
John

Author 2

Affiliation Person:
Sample University
Family Name Person:
Brown
Given Name Person:
Jock

Access and Governance

Usage

Data Use Requirements:
  • General research use
  • Publication required
  • Geographical restriction

Access

Access Service:
  • Safe Rooms, SafePods
  • Assured Organisational Connectivity – office based
  • Assured Organisational Connectivity – remote access
  • Safe Rooms
Jurisdiction:
  • England
  • Northern Ireland
  • Scotland
Data Controller:
  • Office for National Statistics
  • National Centre for Social Research
Data Processor:
UK Data Service
Licence:
Open Government V3
Delivery Lead Time:
10-12 weeks

Format and Standards

Language:
  • English
  • Gaelic; Scottish Gaelic
  • Irish
Format:
  • text/json
  • text/xml
Estimated Dataset Size:
20-30 MB
Vocabulary Encoding Scheme:
  • SNOMED CT
  • ICD-10
Conforms To:
  • OMOP
  • LOINC

Observations

Name
Population Type
Value
Description
Variable Measured
Unit Code
Observation Date
Median height of women in San Antonio, Texas in 2014
StatisticalVariable Median_Height_Person_Female in San Antonio, Texas, for time period 2014
160
An Observation of the StatisticalVariable Median_Height_Person_Female in location: San Antonio, Texas, for time period: 2014
Median Hight Person Female
CMT
20 January 2014