Choosing a data vintage (and keeping comparisons fair)

Choosing a data vintage (and keeping comparisons fair)

Choosing a data vintage (and keeping comparisons fair)

Choosing a data vintage (and keeping comparisons fair) Nothing torpedoes a territory comparison faster than mixing data years.

Population Explorer provides annually updated, global gridded population datasets. This quick guide helps you pick - and stick to - the right vintage so your datasets are defensible across markets.

What “vintage” means

The population data year you set in Layers → Settings.

Guidance

  • Keep one vintage across all territories you compare

  • Use LandScan for 2016–2023 comparability; WorldPop for 2024+ recency and placement detail

  • Always state vintage + source in deliverables

Use cases

  • Territory management — franchise, sales, service; sizing, balancing, and fairness checks.

  • Retail & site selection — store/clinic shortlists, cannibalization risk, white-space discovery.

  • Public services & health — coverage planning for schools, vaccination sites, and outreach.

  • Infrastructure & utilities — demand estimation for telecom, broadband, water, and transport.

  • Emergency & humanitarian — population-at-risk screening, logistics staging, and access.

  • Policy & research — comparable geographies when admin boundaries differ or change.

Need More Help?

If you run into issues, please contact us.

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Looking to Map Smarter Territories?

Use Population Explorer's powerful tools to turn insights into action.

No credit card required • Free trial account • Cancel anytime

Looking to Map Smarter Territories?

Use Population Explorer's powerful tools to turn insights into action.

No credit card required • Free trial account • Cancel anytime

© 2025 Population Explorer. All rights reserved.

© 2025 Population Explorer. All rights reserved.

© 2025 Population Explorer. All rights reserved.