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Alan Grant

@vespucci_editor Yes I think almost all in my sample are sole traders too, and squeezed into physically very small premises in many cases.

One thing I've also realised, and that is especially relevant to hairdressers, is that there are far more businesses on small side streets than I used to think. It's partly because I tend to pass by at night when all shops on a side street may be shuttered, whereas shops on main thoroughfares are more likely to be open.

5 comments
SK53

@alan @vespucci_editor Also back in 2018 mapping of hairdressers in the UK 🇬🇧 was, if anything accelerating: sk53-osm.blogspot.com/2018/07/. Second only to convenience stores then, but fast catching up now (26k vs. 30k).

#OpenStreetMap #RetailMapping #hairdressers #AccumulationCurves.

Graphs showing number of shops mapped over time on OpenStreetMap in the UK to mid-2018. The graphs represent the most popular shop=* values at this time.
SK53

@alan Looks like we only have ~50% mapped in the UK 🇬🇧. Rule of thumb from Nottingham figures suggest 1 hairdresser per thousand people, which gives an estimate of roughly 60k (assuming under 5s don't use them), which is close to figures here nhbf.co.uk/documents/industry-

SK53 replied to SK53

@alan the other approach is bavk-of-the-envelope. If we assume 60 million customers getting hair done 4 times a year and taking 20 minutes, we get 80 million person hours or roughly 50,000 FTEs. Obviously very conservative values, but given most salons are sole traders it gives a reasonable approximation.

I'm now going to have to get my hair cut so I can interrogate my hairdresser about her customer mix.

SK53 replied to SK53

In summary: ways to estimate country totals for POIs:

* Official statistics (e.g. VAT registered businesses)
* Govt #OpenData (e.g., UK Food Hygiene)
* Trade bodies & trade journals
* Extrapolation from well-mapped places on #OpenStreetMap
* Ball park estimates from first principles with a bit of introspection.

MT @alan

In summary: ways to estimate country totals for POIs:

* Official statistics (e.g. VAT registered businesses)
* Govt #OpenData (e.g., UK Food Hygiene)
* Trade bodies & trade journals
* Extrapolation from well-mapped places on #OpenStreetMap
* Ball park estimates from first principles with a bit of introspection.

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