Underserved areas

Find underserved areas: where many people live and your business is missing

To find underserved areas in Spain, write 'where many people live and there is no gym' into the brief. Claro sorts premises on the market by residents within a 10-minute walk per similar business within 600 m and prints the inputs on every result, for example '22,800 residents within a 10-min walk; no gym found within 600 m'. Example figures.

Updated 11 October 2026 · Casafari

  1. You write

    Where many people live in Zaragoza and there is no supermarket within 600 m, street level, 400–900 m²

  2. Claro reads

    • Zaragoza
    • Shop / retail
    • Rent or buy
    • 400–900 m²
    • Street level
    • Suited to: supermarket
    • No supermarket within 600 m
    • Biggest supply gap first

  3. Claro answers Example

    • Residents per supermarketLocation data: 27,400 residents, 10-min walk; no supermarket in 600 m
    • Street level Met“local a pie de calle”
    • 400–900 m² MetListing: 620 m²

Open the map, compare up to five side by side, mark a shortlist, or refine the brief with another segment or a competitor distance of your own.

Use this brief

What a white spot is here

In Claro by Casafari, a white spot (zona sin competencia, an area with no direct competitor) is a premises on the market where many people live within a 10-minute walk and few or no businesses like yours operate within 600 m.

Both numbers are measured, and both are printed on the result. Residents come from location data supplied by a Casafari group company. Similar businesses are counted within 600 m of each premises, for the segment you name.

The output is a ranked list of premises you could rent or buy, not a heat map. Each result carries its residents-per-business line next to the verdicts for your other criteria, as in the example above. It is one of the use cases where one sentence replaces a separate location study.

  • Residents within a 10-minute walk of the premises (location data)
  • Similar businesses within 600 m, for the segment you name
  • Residents per similar business: the order of the list
  • Both inputs shown on every result, where location figures are available

Why it starts from premises, not from a map

A neighbourhood with many residents and no supermarket is only an opening today if there is a premises there to rent or buy. Claro starts from the listings it holds, so every white spot it shows is a unit you can visit.

New listings are added every night and withdrawn units are removed, so the ranking moves as premises come and go. Each result links to the agency's own listing page.

A map tells you where demand might sit. A ranked list of available premises tells you where to send someone next week.

  • Every result is a premises on the market, not a grid cell
  • The list follows the market: new listings every night
  • Each premises links to the agency's own listing

Add the premises you need and the people you want

A white spot is only useful if the unit fits. Add the physical criteria to the same sentence: size range, rent ceiling, street level (a pie de calle), frontage, shop window, corner unit, ceiling height, loading access. Claro marks each one met, not met or not stated, quoting the listing.

Then describe the residents you want. Claro can apply age bands, high-income share and spending power as criteria, and footfall a day if passing trade matters too. The footfall and catchment use case shows these figures as criteria, and the footfall guide explains what 'people a day within a 5-minute walk' measures.

With access, add 'away from our own stores' to keep the new opening clear of your network. Your store list stays private to your account; on the free search that criterion shows as locked.

  • The premises: m², rent ceiling, street level, frontage, shop window, ceiling height
  • The people: age bands, high-income share, spending power
  • The street: footfall a day, if passing trade matters
  • Your network: away from your own stores, with access

Which businesses count as similar

Similar means the segment you name in the brief: gym, burger, fast food, coffee, bakery, pharmacy, supermarket, fashion or pizza. You can also name a chain, for example a rival burger chain, and Claro counts that chain instead.

For pharmacies the figure is a count of pharmacies nearby and nothing more. Claro does not apply the regional planning rules that decide where a new pharmacy may open.

If you need a hard rule rather than a ranking, write the distance as a criterion. The no competitor nearby use case shows 'no gym within 500 m' marked met or not met, naming the nearest one when Claro finds it.

  • Nine segments: gym, burger, fast food, coffee, bakery, pharmacy, supermarket, fashion, pizza
  • Or a chain you name in the brief
  • A competitor criterion of your own: any distance from 1 to 1,000 m

What 'none found' means

'No supermarket found within 600 m' is a finding from the data, not a guarantee. A business that opened recently, or trades under a name the data does not recognise, may not appear.

A competitor criterion you add to the brief is measured in a straight line. With access, the top 20 results are re-checked on foot.

If location figures are not yet available for a premises, Claro marks the criterion not stated rather than guessing; figures for recently added premises fill in over the following days. The methodology explains how each fact is kept with its source. Walk the street before you commit.

  • A finding from the data at the time of the search
  • Missing figures are not stated, never assumed
  • With access: competitor checks re-checked on foot for the top 20 results
  • Always visit before you commit

Questions

How do I find areas with many residents and no gym?

Write it as one sentence, for example 'where many people live in Valencia and there is no gym'. Claro ranks premises on the market by residents within a 10-minute walk per gym within 600 m and shows both figures on every result. Add ceiling height or open plan; the gym premises guide explains why.

How does Claro rank underserved areas?

Claro ranks premises, not areas: residents within a 10-minute walk of each premises, divided by the number of similar businesses within 600 m. Both inputs appear on every result, so you can check the order yourself. Both come from measured location data from a Casafari group company, shown where available.

Which businesses count as similar?

Similar means the segment you name: gym, burger, fast food, coffee, bakery, pharmacy, supermarket, fashion or pizza, or a chain you name in the brief. Claro counts those within 600 m of each premises. For pharmacies it is a count only; Claro does not apply the regional rules on where a pharmacy may open.

Is a white spot a guarantee of demand?

No. A white spot is a finding from the data: many residents and few or no similar businesses within 600 m when Claro ran the search. It is not a forecast. Narrow it with age bands, high-income share or spending power, then visit the street before you commit to a premises.

Can I limit it to a province?

Yes. Name a city, a province, a district or several of them in the brief, or name no place and Claro searches all of Spain. The ranking by residents per similar business works the same way at every scale, and the inputs are shown on every result.

Run your free search

Write where many people live and which business is missing, or use the Zaragoza brief above. Run one free search on the homepage, no sign-up: ranked premises with the residents-per-business line, a verdict per criterion and the evidence behind it.

Search premises