Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Rives de l'Yon (85213)

Detailed figures

Paru le :12/09/2022

This municipality has experienced contour changes since 2010:

  • 01/01/2016 – Saint-Florent-des-Bois devient commune déléguée (chef-lieu) au sein de Rives de l'Yon (85213) (commune nouvelle).
  • 01/01/2016 – Création de la commune nouvelle de Rives de l'Yon en lieu et place des communes de Chaillé-sous-les-Ormeaux (85043) et de Saint-Florent-des-Bois (85213) 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 2 457 2 553 2 552
Labor force in % 75,7 75,7 77,1
 including people in work in % 71,4 69,7 71,7
 including unemployed workers in % 4,2 6,1 5,4
Economically inactive people in % 24,3 24,3 22,9
 including pupils, students or interns in % 9,0 8,8 6,7
 including retirees in % 10,7 10,7 10,4
 including other economically inactive people in % 4,7 4,8 5,9
  • 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 2 552 1 968 77,1 1 830 71,7
 15 to 24 years old 383 201 52,5 168 44,0
 25 to 54 years old 1 573 1 473 93,7 1 389 88,4
 55 to 64 years old 597 294 49,2 272 45,6
Male 1 287 1 009 78,4 948 73,7
 15 to 24 years old 198 112 56,4 96 48,3
 25 to 54 years old 802 758 94,6 722 90,1
 55 to 64 years old 287 139 48,4 131 45,6
Female 1 265 959 75,8 882 69,7
 15 to 24 years old 184 89 48,2 73 39,4
 25 to 54 years old 771 715 92,7 667 86,6
 55 to 64 years old 310 155 50,0 142 45,7
  • 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 71,7
Unemployed workers 5,4
Retirees 10,4
Pupils, students or interns 6,7
Other economically inactive people 5,9
  • 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 1 909 1 834 1 872 1 730 2 059 1 877
including
 Farmer operators 36 36 71 71 55 55
 Handicrafters, traders and business leaders 87 79 74 70 126 121
 Managers and higher intellectual professions 155 143 118 118 136 136
 Middle-level occupations 479 467 486 462 448 438
 Services employee 507 492 542 510 631 560
 Blue-collar workers 641 617 573 500 641 565
  • 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 104 155 137
Unemployment rate in % 5,6 8,0 7,0
Unemployment of the 15-24 aged 15,3 20,9 16,1
Unemployment of the 25-54 aged 4,2 6,7 5,7
Unemployment of the 55-64 aged 6,0 6,8 7,3
  • 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 14,3
BEPC brevet des collèges or DNB 13,8
CAP, BEP or equivalent 6,7
Baccalauréat, brevet professionnel or equivalent 6,4
2 years at university 5,3
3 to 4 years at university 4,7
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 821 848 808
People in work living in the area 1 758 1 792 1 845
Employment concentration indicator 46,7 47,4 43,8
Activity rate of 15 years old and over in % 61,2 60,3 59,1
  • 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 821 100,0 848 100,0 808 100,0
Employee 663 80,9 675 79,6 647 80,1
 including women 387 47,2 428 50,4 417 51,6
 including part-time workers 252 30,7 234 27,6 200 24,8
Non-employee 157 19,1 173 20,4 161 19,9
 including women 56 6,8 63 7,4 49 6,1
 including part-time workers 15 1,8 27 3,2 14 1,7
  • 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 824 100,0
Farmer operators 65 7,9
Handicrafters, traders, business leaders 60 7,3
Managers and higher intellectual professions 19 2,3
Middle-level occupations 173 21,0
Services employee 340 41,3
Blue-collar workers 166 20,1
  • 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 4,5 6,7 7,9
Handicrafters, traders, business leaders 7,0 5,8 7,3
Managers and higher intellectual professions 5,5 1,8 2,3
Middle-level occupations 20,5 25,3 21,0
Services employee 35,9 32,0 41,3
Blue-collar workers 26,6 28,5 20,1
  • 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 798 100,0 891 100,0 824 100,0 60,3 82,9
Agriculture 57 7,1 97 10,9 91 11,0 27,8 27,9
Industry 93 11,7 59 6,6 36 4,4 41,4 100,0
Construction 94 11,8 115 13,0 43 5,2 0,0 88,3
Wholesale and retail trade/transports/accommodations and food service activities 254 31,8 220 24,7 198 24,0 44,1 71,9
Public administration/education/healthcare/social work 301 37,7 400 44,8 456 55,4 81,1 96,7
  • 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 40,2 23,0
Industry 41,4
Construction 0,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 54,2 18,1
Public administration, education, healthcare, social work 82,7 33,1
  • 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.