Active business count by trade in Saint-Escobille, retail density, top concentrated businesses. To measure the market BEFORE launching — not validate it after.
Population (INSEE)
454 inhabitants
Distinct active businesses
56 NAF codes represented
See all trades
Trade
Businesses
Agriculture, élevage (01.11Z)
9
Commerce de détail (47.91B)
4
Travaux de construction spécialisés (43.99C)
3
Programmation informatique (62.02A)
3
Services aux bâtiments et paysagers (81.30Z)
3
Arts et spectacles (90.03A)
3
Most represented business
Agriculture, élevage (01.11Z) (9 establishments)
Establishment density (all activities)
224.7 active establishments per 1,000 inhabitants
"Business / inhabitant" ratio method
The pop/nb_etabs ratio per business is the most used saturation indicator. Common benchmarks: 1 bakery / 2 000 inhabitants (Observatoire Franchise), 1 pharmacy / 2 500 inhabitants (national first-licence quota, art. L.5125-4 CSP), 1 hairdresser / 750 inhabitants. Beyond the raw ratio, look at dynamics (creations / cessions BODACC).
Reading the ratios
Above the trade's benchmark: contested market. Below: room to take. Check the trend with openings and closures over the last 24 months.
Market-positioning support in Saint-Escobille?
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FAQ
How to read Saint-Escobille density?
The SIRENE count covers every declared activity — shops, but also property companies, holdings and sole traders — so it runs high by nature. To gauge saturation, look at the per-business breakdown below and the creation / closure dynamics (BODACC).
Why not indicate "saturated / not saturated"?
No universal ratio allows a verdict. Saturation depends on business, district, purchasing power (Filosofi income), and recent dynamics. NTYB gives the numbers, you keep the reading.
When does the per-inhabitant ratio not make sense?
For destination retail (car dealer, specialty store) which captures a catchment area larger than the town. Then catchment (vertical /chalandise/) is relevant.