Establishments characteristics at the end of 2019 inter-communality metropolis of CA du Libournais (200070092)

Detailed figures

Paru le :21/04/2022

RES T1 - Active employer establishments by aggregated sector of activity and size at the end of 2019

RES 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 2 980 100,0 273 2 197 282 137 91
Agriculture, forestry and fishing 302 10,1 37 239 23 3 0
Industrial economy 209 7,0 19 134 26 15 15
Building industry 358 12,0 39 284 22 9 4
Trade, transport, various services 1 689 56,7 164 1 285 143 70 27
including trade and car repair 584 19,6 36 445 61 33 9
Public administration, education, healthcare, social action 422 14,2 14 255 68 40 45
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2 - Employee positions by aggregated sector of activity and establishments size at the end of 2019

RES 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 28 654 100,0 6 621 3 794 4 280 3 883 10 076
Agriculture, forestry and fishing 1 176 4,1 779 290 107 0 0
Industrial economy 4 171 14,6 503 352 454 348 2 514
Building industry 1 938 6,8 814 299 278 155 392
Trade, transport, various services 10 420 36,4 3 661 1 925 2 178 1 243 1 413
including trade and car repair 4 306 15,0 1 445 796 995 415 655
Public administration, education, healthcare, social action 10 949 38,2 864 928 1 263 2 137 5 757
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregated sector of activity at the end of 2019

RES G1 - Distribution of active employer establishments by aggregated sector of activity at the end of 2019
%
Public administration, education, healthcare, social action 14,2
Trade, transport, various services 56,7
Building industry 12,0
Industrial economy 7,0
Agriculture, forestry and fishing 10,1
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES 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.

RES G2 - Distribution of active employer establishments by size at the end of 2019

RES G2 - Distribution of active employer establishments by size at the end of 2019
%
50 and more employees 3,1
20 to 49 employees 4,6
10 to 19 employees 9,5
1 to 9 employee(s) 73,7
0 employee 9,2
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES 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.

RES T3 - Active employer establishments according to the domains of the economy at the end of 2019

RES T3 - Active employer establishments according to the domains of the economy at the end of 2019
Establishments Employee positions
Number % Number %
Altogether 2 980 100,0 28 654 100,0
Productive domain 1 027 34,5 8 842 30,9
of which public domain 0 0,0 0 0,0
Presential domain 1 953 65,5 19 812 69,1
of which public domain 190 6,4 8 407 29,3
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2019

RES T5 - Individual employers at the end of 2019
Individual employers
Number %
Altogether 5 369 100,0
Employers of childminders 2 004 37,3
Employers of other employees 3 365 62,7
  • 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

Establishment :

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.

Remarque :

The population of establishments is relatively stable over time and is less affected by corporate and financial restructuring than that of companies.

Head office :

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).

Post of work :

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.

Remarque :

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.

Economic sphere :

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.

Remarque :

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.