Datasets

 

Tracking Underrepresentation by Area (TUNDRA)

TUNDRA integration was developed in direct response to university feedback about the inefficiencies of manually retrieving area classification codes.

Previously, staff had to copy an address, visit a government site, extract the relevant TUNDRA codes, and paste them into statutory returns – an error-prone and time-consuming process.

Now, when a student or staff member enters and selects an address, the TUNDRA data is automatically returned. This eliminates the need to switch between systems, reduces the risk of errors, and significantly speeds up the returns process.

Try It

Using the form below, enter your postcode or start typing an address to see results returned. Select an address and you will see the TUNDRA data returned.

Datasets

TUNDRA

TUNDRA (tracking underrepresentation by area) classifies local areas in England into five groups (quintiles) based on the proportion of 16 year old state-funded mainstream school pupils who progress to higher education at 18 or 19.

  • Quintile 1 – lowest participation
  • Quintile 5 – highest participation

It uses both 2011 MSOA (middle super output area) and LSOA (lower super output area) codes to define local areas, helping to identify where participation is lowest.

Unlike POLAR4, TUNDRA focuses specifically on state-funded mainstream school pupils in England, giving a sharper, more targeted view of access to higher education.

What sets TUNDRA apart:

  • Tracks students from GCSEs at 16 to higher education at 18–19 through data-linking, which POLAR4 doesn’t do.
  • Focuses solely on pupils in state-funded schools. POLAR4 includes all school types.
  • England-specific – POLAR4 is UK-wide.
  • POLAR does not use LSOAs, which hide the quintile of an area if there are less than 30 people in it.
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