Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Val d'Anast (35168)

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Paru le :12/09/2022

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This municipality has experienced contour changes since 2010:

  • 01/01/2017 – Maure-de-Bretagne devient commune déléguée (chef-lieu) au sein de Val d'Anast (35168) (commune nouvelle).
  • 01/01/2017 – Création de la commune nouvelle de Val d'Anast en lieu et place des communes de Campel (35048) et de Maure-de-Bretagne (35168) 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 2 111 2 186 2 298
Labor force in % 75,4 78,2 78,7
 including people in work in % 68,9 70,0 70,6
 including unemployed workers in % 6,5 8,2 8,1
Economically inactive people in % 24,6 21,8 21,3
 including pupils, students or interns in % 7,0 6,4 8,0
 including retirees in % 11,1 8,8 8,0
 including other economically inactive people in % 6,5 6,5 5,3
  • 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 2 298 1 808 78,7 1 623 70,6
 15 to 24 years old 354 162 45,9 132 37,4
 25 to 54 years old 1 478 1 402 94,8 1 269 85,8
 55 to 64 years old 465 244 52,4 222 47,6
Male 1 208 970 80,3 884 73,2
 15 to 24 years old 199 96 48,5 74 37,4
 25 to 54 years old 765 748 97,8 697 91,1
 55 to 64 years old 244 125 51,4 112 46,1
Female 1 090 839 76,9 739 67,8
 15 to 24 years old 155 66 42,6 58 37,4
 25 to 54 years old 713 654 91,7 572 80,2
 55 to 64 years old 222 118 53,4 109 49,3
  • 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 70,6
Unemployed workers 8,1
Retirees 8,0
Pupils, students or interns 8,0
Other economically inactive people 5,3
  • 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 1 630 1 499 1 779 1 595 1 725 1 535
including
 Farmer operators 97 97 97 97 50 45
 Handicrafters, traders and business leaders 66 66 139 134 80 80
 Managers and higher intellectual professions 93 93 130 125 201 196
 Middle-level occupations 281 274 273 236 376 366
 Services employee 491 444 548 463 421 361
 Blue-collar workers 591 526 593 541 582 486
  • 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 138 180 186
Unemployment rate in % 8,7 10,5 10,3
Unemployment of the 15-24 aged 22,5 21,8 18,5
Unemployment of the 25-54 aged 7,4 9,4 9,5
Unemployment of the 55-64 aged 5,2 11,3 9,1
  • 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 17,4
BEPC brevet des collèges or DNB 20,5
CAP, BEP or equivalent 12,8
Baccalauréat, brevet professionnel or equivalent 8,6
2 years at university 5,6
3 to 4 years at university 6,7
5 years and over at university 5,3
  • 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 1 222 1 173 1 088
People in work living in the area 1 458 1 537 1 640
Employment concentration indicator 83,8 76,3 66,4
Activity rate of 15 years old and over in % 57,0 58,6 58,9
  • 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 1 222 100,0 1 173 100,0 1 088 100,0
Employee 994 81,3 950 81,0 872 80,1
 including women 532 43,6 528 45,0 497 45,7
 including part-time workers 218 17,8 229 19,5 195 17,9
Non-employee 228 18,7 223 19,0 216 19,9
 including women 95 7,8 80 6,8 91 8,3
 including part-time workers 15 1,2 24 2,0 14 1,3
  • 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 1 128 100,0
Farmer operators 45 4,0
Handicrafters, traders, business leaders 132 11,7
Managers and higher intellectual professions 112 9,9
Middle-level occupations 270 23,9
Services employee 304 27,0
Blue-collar workers 264 23,4
  • 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 7,1 6,6 4,0
Handicrafters, traders, business leaders 5,4 10,3 11,7
Managers and higher intellectual professions 9,3 8,2 9,9
Middle-level occupations 17,7 14,9 23,9
Services employee 29,3 28,6 27,0
Blue-collar workers 31,2 31,3 23,4
  • 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 1 310 100,0 1 182 100,0 1 128 100,0 57,8 79,5
Agriculture 109 8,3 110 9,3 81 7,2 31,0 43,9
Industry 121 9,2 133 11,2 114 10,1 40,3 86,8
Construction 155 11,8 142 12,0 179 15,9 23,3 71,0
Wholesale and retail trade/transports/accommodations and food service activities 551 42,0 436 36,9 398 35,3 58,4 80,6
Public administration/education/healthcare/social work 375 28,6 362 30,6 356 31,6 86,0 88,3
  • 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 56,4 11,1
Industry 41,3 33,2
Construction 28,8 9,7
Wholesale and retail trade, transports, accommodations and food service activities 60,5 49,9
Public administration, education, healthcare, social work 87,3 76,1
  • 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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