Establishments characteristics at the end of 2019 inter-communality metropolis of Sud Vendée Littoral (200073260)
tableauRES T1 - Active employer establishments by aggregated sector of activity and size at the end of 2019
| Total | % | 0 employee | 1 to 9 employee(s) | 10 to 19 employees | 20 to 49 employees | 50 and more employees | |
|---|---|---|---|---|---|---|---|
| Altogether | 1 853 | 100,0 | 287 | 1 305 | 132 | 90 | 39 |
| Agriculture, forestry and fishing | 204 | 11,0 | 33 | 169 | 2 | 0 | 0 |
| Industrial economy | 127 | 6,9 | 7 | 72 | 20 | 14 | 14 |
| Building industry | 229 | 12,4 | 16 | 182 | 18 | 11 | 2 |
| Trade, transport, various services | 1 061 | 57,3 | 224 | 737 | 63 | 30 | 7 |
| including trade and car repair | 358 | 19,3 | 81 | 236 | 25 | 12 | 4 |
| Public administration, education, healthcare, social action | 232 | 12,5 | 7 | 145 | 29 | 35 | 16 |
- Scope: excluding the defense sector and individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
tableauRES T2 - Employee positions by aggregated sector of activity and establishments size at the end of 2019
| Total | % | 1 to 9 employeee(s) | 10 to 19 employees | 20 to 49 employees | 50 to 99 employees | 100 and more employees | |
|---|---|---|---|---|---|---|---|
| Altogether | 12 939 | 100,0 | 3 807 | 1 734 | 2 809 | 1 535 | 3 054 |
| Agriculture, forestry and fishing | 315 | 2,4 | 284 | 31 | 0 | 0 | 0 |
| Industrial economy | 2 885 | 22,3 | 266 | 295 | 472 | 330 | 1 522 |
| Building industry | 1 303 | 10,1 | 603 | 218 | 315 | 167 | 0 |
| Trade, transport, various services | 4 604 | 35,6 | 2 069 | 819 | 898 | 277 | 541 |
| including trade and car repair | 2 059 | 15,9 | 749 | 334 | 366 | 69 | 541 |
| Public administration, education, healthcare, social action | 3 832 | 29,6 | 585 | 371 | 1 124 | 761 | 991 |
- Scope: excluding the defense sector and individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
tableauRES G1 - Distribution of active employer establishments by aggregated sector of activity at the end of 2019
| % | |
|---|---|
| Public administration, education, healthcare, social action | 12,5 |
| Trade, transport, various services | 57,3 |
| Building industry | 12,4 |
| Industrial economy | 6,9 |
| Agriculture, forestry and fishing | 11,0 |
- Scope: excluding the defense sector and individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
graphiqueRES G1 - Distribution of active employer establishments by aggregated sector of activity at the end of 2019
- Scope: excluding the defense sector and individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
tableauRES G2 - Distribution of active employer establishments by size at the end of 2019
| % | |
|---|---|
| 50 and more employees | 2,1 |
| 20 to 49 employees | 4,9 |
| 10 to 19 employees | 7,1 |
| 1 to 9 employee(s) | 70,4 |
| 0 employee | 15,5 |
- Scope: excluding the defense sector and individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
graphiqueRES G2 - Distribution of active employer establishments by size at the end of 2019
- Scope: excluding the defense sector and individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
tableauRES T3 - Active employer establishments according to the domains of the economy at the end of 2019
| Establishments | Employee positions | |||
|---|---|---|---|---|
| Number | % | Number | % | |
| Altogether | 1 853 | 100,0 | 12 939 | 100,0 |
| Productive domain | 540 | 29,1 | 4 513 | 34,9 |
| of which public domain | 0 | 0,0 | 0 | 0,0 |
| Presential domain | 1 313 | 70,9 | 8 426 | 65,1 |
| of which public domain | 119 | 6,4 | 2 771 | 21,4 |
- Scope: excluding the defense sector and individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
tableauRES T5 - Individual employers at the end of 2019
| Individual employers | ||
|---|---|---|
| Number | % | |
| Altogether | 3 712 | 100,0 |
| Employers of childminders | 1 331 | 35,9 |
| Employers of other employees | 2 381 | 64,1 |
- Scope: individual employers.
- Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.
Avertissement
INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should relate to areas "of sufficient size" (several thousand salaried positions), in order to limit the errors which could be due to occasional erroneous declarations on the part of certain establishments.
The status of municipal data from Flores differs in particular from that of Employment estimates, which are subject to full validation by experts and which are disseminated at a more aggregated level (department and employment area at the finest level). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.
Sources
Pay and salaried employment localized file (Flores) is a set of microeconomic data files that describe paid employment and compensation at establishment level. The main objective is to serve as a basis for national or local studies, to describe the economic fabric of a given territory down to the level of the municipality.
A general presentation of the source Flores is accessible in the section "Definitions, Methods and quality" of the insee.fr site.
Définitions
A local unit is a production unit that is geographically individual but legally dependent on a legal unit.An establishment produces goods or services: it can be a factory, a bakery, a clothing store, one of the hotels of a hotel chain, the "shop" of a repairer of computer hardware ...
The establishment or production unit is the most suitable level for a geographical approach to the economy.
The population of establishments is relatively stable over time and is less affected by corporate and financial restructuring than that of companies.
When a legal unit runs its business in several establishment, one of them has the status of main establishment (sole proprietorship) or head office (company).
In employment and wage statistics, a job (or position) corresponds to the relationship of an employee and an establishment during a given period of time. Thus, an employee who works in two establishments (on a given date or over a certain period of time, such as a year) occupies two positions. Conversely, several employment contracts between the employee and the same establishment (on a given date or successively over a certain period of time) constitute a single position.
The concept of main position allows for only one position per employee. An employee's main position is the most remunerative position. The concept of an "additional" position makes it possible to exclude from certain statistics positions with a low volume of work and a low level of associated remuneration.
In the general case, a position is considered to be "non-additional" if the remuneration is higher than 3 monthly minimum wage rates or if the duration of employment exceeds 30 days and 120 hours and the number of hours/duration ratio is higher than 1.5.
The job is the basic statistical unit for the results from the "All-employee" files, DADS (annual declaration of social data), Siasp (System for information on civil servants), Clap (local knowledge of the productive system) and Flores (pay and salaried employment localized file), which succeeds Clap from 2017.
The partition of the economy in two spheres, "presential" and "productive", enables a better understanding of the spatial activities' logic and highlights the openness of local production systems.
It also helps provide an analysis grid for the outsourcing processes and the other economic changes taking place in the territories.
The "presential" activities are activities implemented locally for the production of goods and services aiming at the satisfaction of the needs of persons present in the area, whether residents or tourists.
Productive activities are determined by difference. These are activities that produce goods mainly consumed outside the area and services activities provided mainly to the companies of the productive sphere.
As of June 2015, the name "productive sphere" replaces that of "non- presential sphere". The distribution of activities is not affected.
As of January 2010, this new definition replaces the old one with its three spheres: "productive", "residential" and "public".
Champ
The Flores system (Localized remuneration and salaried employment file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments that ceased their activity during the year.
The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.
Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.
Géographie
The 2019 data are disseminated according to the geography in effect on January 1, 2022.