Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Bellevigny (85019)

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Paru le :12/09/2022

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This municipality has experienced contour changes since 2010:

  • 01/01/2016 – Belleville-sur-Vie devient commune déléguée (chef-lieu) au sein de Bellevigny (85019) (commune nouvelle).
  • 01/01/2016 – Création de la commune nouvelle de Bellevigny en lieu et place des communes de Belleville-sur-Vie (85019) et de Saligny (85279) 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 3 534 3 727 3 896
Labor force in % 80,7 81,6 79,9
 including people in work in % 76,8 75,3 74,5
 including unemployed workers in % 3,9 6,3 5,5
Economically inactive people in % 19,3 18,4 20,1
 including pupils, students or interns in % 6,8 6,6 8,6
 including retirees in % 7,9 8,5 8,1
 including other economically inactive people in % 4,6 3,3 3,3
  • 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 3 896 3 114 79,9 2 901 74,5
 15 to 24 years old 659 307 46,5 259 39,4
 25 to 54 years old 2 488 2 416 97,1 2 282 91,7
 55 to 64 years old 749 392 52,3 359 48,0
Male 1 937 1 567 80,9 1 475 76,1
 15 to 24 years old 339 172 50,8 153 45,2
 25 to 54 years old 1 227 1 211 98,7 1 150 93,8
 55 to 64 years old 371 185 49,7 171 46,2
Female 1 959 1 546 79,0 1 426 72,8
 15 to 24 years old 320 134 42,0 106 33,3
 25 to 54 years old 1 261 1 205 95,6 1 132 89,8
 55 to 64 years old 378 207 54,8 188 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 74,5
Unemployed workers 5,5
Retirees 8,1
Pupils, students or interns 8,6
Other economically inactive people 3,3
  • 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 2 872 2 744 3 056 2 872 3 154 2 898
including
 Farmer operators 60 56 36 36 20 20
 Handicrafters, traders and business leaders 124 120 184 184 146 141
 Managers and higher intellectual professions 308 296 268 264 366 356
 Middle-level occupations 724 688 812 784 812 757
 Services employee 836 792 860 788 837 757
 Blue-collar workers 820 792 892 816 953 867
  • 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 139 235 213
Unemployment rate in % 4,9 7,7 6,8
Unemployment of the 15-24 aged 12,4 18,6 15,4
Unemployment of the 25-54 aged 3,9 6,4 5,5
Unemployment of the 55-64 aged 4,3 8,7 8,3
  • 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 14,4
BEPC brevet des collèges or DNB 9,2
CAP, BEP or equivalent 6,9
Baccalauréat, brevet professionnel or equivalent 7,5
2 years at university 4,9
3 to 4 years at university 4,2
5 years and over at university 4,6
  • 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 2 336 2 403 2 524
People in work living in the area 2 718 2 809 2 916
Employment concentration indicator 86,0 85,5 86,5
Activity rate of 15 years old and over in % 70,0 69,2 65,4
  • 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 2 336 100,0 2 403 100,0 2 524 100,0
Employee 2 115 90,5 2 178 90,6 2 267 89,9
 including women 904 38,7 907 37,7 1 005 39,8
 including part-time workers 310 13,3 303 12,6 300 11,9
Non-employee 221 9,5 225 9,4 256 10,1
 including women 62 2,7 69 2,9 103 4,1
 including part-time workers 21 0,9 21 0,9 32 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 2 493 100,0
Farmer operators 30 1,2
Handicrafters, traders, business leaders 149 6,0
Managers and higher intellectual professions 203 8,1
Middle-level occupations 673 27,0
Services employee 531 21,3
Blue-collar workers 907 36,4
  • 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 2,5 1,7 1,2
Handicrafters, traders, business leaders 5,0 6,0 6,0
Managers and higher intellectual professions 8,3 6,7 8,1
Middle-level occupations 25,8 22,8 27,0
Services employee 22,1 23,8 21,3
Blue-collar workers 36,3 38,9 36,4
  • 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 2 243 100,0 2 417 100,0 2 493 100,0 46,4 91,3
Agriculture 83 3,7 77 3,2 50 2,0 20,0 39,9
Industry 495 22,1 514 21,3 588 23,6 35,9 98,3
Construction 281 12,5 306 12,7 223 9,0 9,5 86,2
Wholesale and retail trade/transports/accommodations and food service activities 1 019 45,4 1 167 48,3 1 199 48,1 46,0 90,2
Public administration/education/healthcare/social work 365 16,3 352 14,6 432 17,3 83,9 93,4
  • 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 24,8 16,8
Industry 35,7 50,9
Construction 11,1 0,0
Wholesale and retail trade, transports, accommodations and food service activities 46,1 45,0
Public administration, education, healthcare, social work 86,0 53,2
  • 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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