MacroDataHub

France business creations (raw): other services

France business creations (raw): other services stood at 9,453 units in Aug 2026, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the Business demography table (Value · Monthly), with a complete series running from Jan 2000 to Aug 2026. The complete series with an interactive chart, free to download.

Source: INSEE – Institut national de la statistique et des études économiques (BDM)Last updated: Curated by Bui Thanh Phuc
Loading chart data…

This indicator in the Business demography table

Indicator08-202607-202606-202605-202604-202603-202602-202601-202612-202511-2025
Raw data
Other service activities - All items - Monthly raw data9,45310,64011,54610,56610,69812,18911,56512,4218,8959,329
Micro-entrepreneurs - Other service activities - Monthly raw data7,4958,2479,2008,5608,6169,7949,1869,8606,9657,519

Understanding france business creations (raw): other services

Personal service providers, repair technicians, and membership organizations registering their operational status without seasonal adjustments are enumerated in this raw miscellaneous service measure. The count aggregates unadjusted monthly entries for diverse service activities, capturing raw administrative flows before any smoothing models are applied. Excluded from this raw tally are manufacturing concerns, wholesale traders, logistics providers, and corporate financial institutions.

Analyzing this raw dataset requires accounting for unadjusted calendar quirks, such as the varying number of working days and holiday closures that occur throughout the year. Observers must rely on year-on-year comparisons rather than direct month-on-month shifts to evaluate true underlying momentum, because seasonal troughs and peaks repeat reliably every annual cycle. Comparing these raw figures directly against seasonally adjusted benchmarks will introduce severe analytical errors.

Frequently asked questions

What does the raw designation indicate about this service series?
The figures reflect unadjusted administrative counts without statistical smoothing for working days or seasonal holidays.
Why is year-on-year comparison preferred when reading raw data?
It matches equivalent months across different years, neutralizing predictable seasonal distortions inherent in unadjusted counts.
Which industries are omitted from this particular raw service count?
Distributive trades, manufacturing, construction, and corporate financial services.

You may also be interested in