[TCRED-ENTREPRISES-EFF-OPE] Public bodies and business headcount
Updated by provider on March 13, 2025 (12:00 AM).
[FREQ] Frequency
- [A] Annual
[INDICATEUR] Indicators
- [DEPENSES_RECHERCHE_DEVELOPPEMENT_ENTREPRISES] Domestic expenditure on research and development in companies
- [DEPENSES_RECHERCHE_DEVELOPPEMENT_PUBLICS] Domestic expenditure on research and development in public bodies
- [EFFECTIFS_RECHERCHE_DEVELOPPEMENT_ENTREPRISES] Research and development workforce in companies
- [EFFECTIFS_RECHERCHE_DEVELOPPEMENT_PUBLICS] Research and development workforce in public bodies
[NATURE] Nature
- [VALEUR_ABSOLUE] Absolute value
[AGENTS_ECO] Health institutions
- [B] Enterprises
- [D] Public bodies
- [SO] Not applicable
[EFFECTIFS] Public bodies and business headcount
- [EFFAPE] Other personnel in companies
- [EFFCHE] Researchers in public bodies
- [EFFCHS] Researchers in companies
- [EFFITA] Engineers, technicians and administrative staff
- [EFFTOE] Total in companies
- [EFFTOT] Total in public bodies
- [SO] Not applicable
[REF_AREA] Geographic areas
- [D99] All the French overseas departments
- [FE] France
- [FM] Metropolitan France
- [F_H_IDF] Metropolitan France excluding Île-de-France
- [R11] Île-de-France
- [R24] Centre-Val de Loire
- [R27] Bourgogne-Franche-Comté
- [R28] Normandie
- [R32] Hauts-de-France
- [R44] Grand Est
- [R52] Pays de la Loire
- [R53] Bretagne
- [R75] Nouvelle-Aquitaine
- [R76] Occitanie
- [R84] Auvergne-Rhône-Alpes
- [R93] Provence-Alpes-Côte d'Azur
- [R94] Corse
- [RI] Undetermined region
[UNIT_MEASURE] Unit
- [EUROS] euros
- [INDIVIDUS_TEMPS_PLEIN] individuals full-time equivalent
[CORRECTION] Seasonal adjustment
- [BRUT] Uncorrected
[SERIE_ARRETEE] Stopped_series
- [FALSE] nO
- [TRUE] yes
Search filters
Frequency [FREQ] (1)
Indicators [INDICATEUR] (4)
Nature [NATURE] (1)
Health institutions [AGENTS_ECO] (3)
Public bodies and business headcount [EFFECTIFS] (7)
Geographic areas [REF_AREA] (18)
Unit [UNIT_MEASURE] (2)
Seasonal adjustment [CORRECTION] (1)
Stopped_series [SERIE_ARRETEE] (2)
This dataset has 288 series:
- from
- 2020=29
- to
- 2022=29
- min:
- 29
- max:
- 29
- avg:
- 29
- σ:
- 0
- from
- 2009=11
- to
- 2019=23
- min:
- 10
- max:
- 33
- avg:
- 19.091
- σ:
- 6.345
- from
- 2020=34,625
- to
- 2022=38,965
- min:
- 34,625
- max:
- 38,965
- avg:
- 36,689.333
- σ:
- 1,778.088
- from
- 2009=26,426
- to
- 2019=35,220
- min:
- 26,426
- max:
- 35,220
- avg:
- 30,977.182
- σ:
- 2,566.041
- from
- 2020=34,596
- to
- 2022=38,936
- min:
- 34,596
- max:
- 38,936
- avg:
- 36,660
- σ:
- 1,778.128
- from
- 2009=26,415
- to
- 2019=35,197
- min:
- 26,415
- max:
- 35,197
- avg:
- 30,958.091
- σ:
- 2,560.797
- from
- 2020=19,621
- to
- 2022=23,029
- min:
- 19,621
- max:
- 23,029
- avg:
- 21,346.667
- σ:
- 1,391.648
- from
- 2009=15,300
- to
- 2019=20,288
- min:
- 15,300
- max:
- 20,288
- avg:
- 17,927.818
- σ:
- 1,477.532
- from
- 2020=14,975
- to
- 2022=15,907
- min:
- 14,975
- max:
- 15,907
- avg:
- 15,313.667
- σ:
- 420.949
- from
- 2009=11,115
- to
- 2019=14,909
- min:
- 11,115
- max:
- 14,909
- avg:
- 13,030.182
- σ:
- 1,091.238
Showing results 1 - 10 / 288