Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Crêts en Belledonne (38439)

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Paru le :12/09/2022

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This municipality has experienced contour changes since 2010:

  • 01/01/2016 – Saint-Pierre-d'Allevard (commune chef-lieu) est rattachée à Crêts en Belledonne (38439) (commune nouvelle).
  • 01/01/2016 – Création de la commune nouvelle de Crêts en Belledonne en lieu et place des communes de Morêtel-de-Mailles (38262) et de Saint-Pierre-d'Allevard (38439).

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 1 967 2 072 2 072
Labor force in % 74,1 78,2 78,6
 including people in work in % 69,4 71,1 72,5
 including unemployed workers in % 4,7 7,1 6,1
Economically inactive people in % 25,9 21,8 21,4
 including pupils, students or interns in % 7,9 8,1 8,4
 including retirees in % 8,6 6,8 6,5
 including other economically inactive people in % 9,4 6,9 6,5
  • 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 2 072 1 628 78,6 1 502 72,5
 15 to 24 years old 323 140 43,3 107 33,2
 25 to 54 years old 1 369 1 282 93,7 1 205 88,0
 55 to 64 years old 380 205 54,0 190 50,0
Male 1 050 837 79,7 777 73,9
 15 to 24 years old 175 84 47,8 66 37,9
 25 to 54 years old 681 647 95,0 613 90,0
 55 to 64 years old 194 107 55,0 97 50,2
Female 1 021 790 77,4 725 71,0
 15 to 24 years old 148 56 38,0 41 27,7
 25 to 54 years old 687 635 92,4 592 86,1
 55 to 64 years old 186 99 53,0 92 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 72,5
Unemployed workers 6,1
Retirees 6,5
Pupils, students or interns 8,4
Other economically inactive people 6,5
  • 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 1 455 1 355 1 642 1 479 1 693 1 524
including
 Farmer operators 4 4 25 25 41 41
 Handicrafters, traders and business leaders 92 88 49 49 77 77
 Managers and higher intellectual professions 234 230 284 272 266 261
 Middle-level occupations 342 319 464 420 501 460
 Services employee 388 353 403 379 435 379
 Blue-collar workers 394 362 392 336 357 306
  • 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 93 148 126
Unemployment rate in % 6,4 9,1 7,7
Unemployment of the 15-24 aged 17,2 29,1 23,3
Unemployment of the 25-54 aged 5,3 7,2 6,1
Unemployment of the 55-64 aged 4,3 7,5 7,5
  • 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 10,4
BEPC brevet des collèges or DNB 15,1
CAP, BEP or equivalent 9,8
Baccalauréat, brevet professionnel or equivalent 7,9
2 years at university 6,8
3 to 4 years at university 4,4
5 years and over at university 4,4
  • 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 634 608 568
People in work living in the area 1 369 1 484 1 510
Employment concentration indicator 46,3 40,9 37,6
Activity rate of 15 years old and over in % 61,1 64,5 62,6
  • 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 634 100,0 608 100,0 568 100,0
Employee 542 85,4 478 78,7 447 78,7
 including women 262 41,2 237 39,0 213 37,4
 including part-time workers 132 20,8 117 19,3 95 16,8
Non-employee 93 14,6 129 21,3 121 21,3
 including women 28 4,4 51 8,3 56 9,8
 including part-time workers 11 1,7 17 2,8 24 4,3
  • 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 620 100,0
Farmer operators 31 5,0
Handicrafters, traders, business leaders 56 9,0
Managers and higher intellectual professions 52 8,3
Middle-level occupations 109 17,6
Services employee 173 27,9
Blue-collar workers 200 32,2
  • 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 0,6 4,3 5,0
Handicrafters, traders, business leaders 8,7 8,0 9,0
Managers and higher intellectual professions 9,9 11,1 8,3
Middle-level occupations 19,2 20,1 17,6
Services employee 23,3 25,3 27,9
Blue-collar workers 38,3 31,3 32,2
  • 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 636 100,0 569 100,0 620 100,0 46,6 79,5
Agriculture 8 1,2 39 6,8 36 5,8 28,5 14,4
Industry 208 32,7 168 29,4 104 16,9 19,4 90,4
Construction 64 10,1 22 3,8 54 8,8 9,7 62,7
Wholesale and retail trade/transports/accommodations and food service activities 193 30,3 152 26,8 207 33,3 38,9 75,4
Public administration/education/healthcare/social work 163 25,7 189 33,2 219 35,3 79,1 93,1
  • 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 0,0 33,3
Industry 16,1 50,8
Construction 15,4 0,0
Wholesale and retail trade, transports, accommodations and food service activities 38,6 39,8
Public administration, education, healthcare, social work 77,5 100,0
  • 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.
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