Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Saint-Bonnet-en-Champsaur (05132)

Detailed figures

Paru le :12/09/2022

This municipality has experienced contour changes since 2010:

  • 01/01/2013 – Saint-Bonnet-en-Champsaur devient commune déléguée (chef-lieu) au sein de Saint-Bonnet-en-Champsaur (05132) (commune nouvelle).
  • 01/01/2013 – Création de la commune nouvelle de Saint-Bonnet-en-Champsaur en lieu et place des communes de Bénévent-et-Charbillac (05020), des Infournas (05067) et de Saint-Bonnet-en-Champsaur (05132) devenues déléguées.

In the case of a merger, when the geography of the source indicated under the table / graph is after the date of the merger, the data correspond to those of the new municipality.

EMP T1 - Population aged 15 to 64 by economic activity status

EMP T1 - Population aged 15 to 64 by economic activity status
2008 2013 2019
Altogether 1 176 1 201 1 173
Labor force in % 72,6 75,0 73,9
 including people in work in % 66,3 68,7 68,2
 including unemployed workers in % 6,2 6,2 5,7
Economically inactive people in % 27,4 25,0 26,1
 including pupils, students or interns in % 8,5 8,3 9,6
 including retirees in % 10,7 8,2 9,1
 including other economically inactive people in % 8,2 8,5 7,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 1 173 867 73,9 800 68,2
 15 to 24 years old 176 57 32,2 45 25,4
 25 to 54 years old 672 626 93,2 590 87,7
 55 to 64 years old 326 184 56,4 166 50,9
Male 571 436 76,3 409 71,7
 15 to 24 years old 89 35 38,9 31 34,4
 25 to 54 years old 308 301 97,7 288 93,5
 55 to 64 years old 174 100 57,7 90 52,0
Female 603 431 71,5 391 64,9
 15 to 24 years old 86 22 25,3 14 16,1
 25 to 54 years old 364 326 89,4 302 82,8
 55 to 64 years old 152 83 54,9 75 49,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 68,2
Unemployed workers 5,7
Retirees 9,1
Pupils, students or interns 9,6
Other economically inactive people 7,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 872 797 927 856 754 725
including
 Farmer operators 47 43 41 41 65 50
 Handicrafters, traders and business leaders 95 87 96 91 89 89
 Managers and higher intellectual professions 55 47 132 132 84 84
 Middle-level occupations 280 256 233 218 199 199
 Services employee 213 206 319 284 213 213
 Blue-collar workers 181 158 106 91 104 89
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 73 75 67
Unemployment rate in % 8,5 8,3 7,7
Unemployment of the 15-24 aged 22,8 25,0 21,1
Unemployment of the 25-54 aged 7,0 6,4 5,9
Unemployment of the 55-64 aged 7,6 9,4 9,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 12,5
BEPC brevet des collèges or DNB 25,6
CAP, BEP or equivalent 7,0
Baccalauréat, brevet professionnel or equivalent 8,2
2 years at university 7,4
3 to 4 years at university 2,7
5 years and over at university 3,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 659 749 724
People in work living in the area 786 832 818
Employment concentration indicator 83,8 90,1 88,6
Activity rate of 15 years old and over in % 54,3 55,1 52,8
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 659 100,0 749 100,0 724 100,0
Employee 488 74,1 564 75,2 536 74,0
 including women 266 40,3 331 44,1 301 41,6
 including part-time workers 141 21,4 133 17,7 136 18,8
Non-employee 171 25,9 185 24,8 189 26,0
 including women 53 8,1 62 8,3 66 9,2
 including part-time workers 12 1,8 25 3,4 25 3,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 685 100,0
Farmer operators 53 7,7
Handicrafters, traders, business leaders 95 13,9
Managers and higher intellectual professions 57 8,4
Middle-level occupations 181 26,4
Services employee 228 33,2
Blue-collar workers 71 10,4
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 5,5 5,4 7,7
Handicrafters, traders, business leaders 11,3 14,3 13,9
Managers and higher intellectual professions 4,5 15,4 8,4
Middle-level occupations 24,3 21,2 26,4
Services employee 33,6 37,0 33,2
Blue-collar workers 20,8 6,7 10,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 717 100,0 752 100,0 685 100,0 51,2 72,0
Agriculture 71 10,0 59 7,8 68 9,9 34,0 29,5
Industry 41 5,8 22 2,9 15 2,2 100,0 33,3
Construction 123 17,2 43 5,8 48 7,0 0,0 47,7
Wholesale and retail trade/transports/accommodations and food service activities 228 31,8 331 44,0 232 33,9 55,3 72,1
Public administration/education/healthcare/social work 254 35,4 297 39,5 322 47,0 57,3 86,2
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 25,8 37,4
Industry 100,0 100,0
Construction 0,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 64,6 31,1
Public administration, education, healthcare, social work 55,8 66,5
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.