Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Vair-sur-Loire (44163)

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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-Herblon devient commune déléguée (chef-lieu) au sein de Vair-sur-Loire (44163) (commune nouvelle).
  • 01/01/2016 – Création de la commune nouvelle de Vair-sur-Loire en lieu et place des communes d'Anetz (44004) et de Saint-Herblon (44163) 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 2 559 2 738 2 875
Labor force in % 78,7 80,8 79,1
 including people in work in % 72,8 74,3 73,7
 including unemployed workers in % 5,9 6,5 5,4
Economically inactive people in % 21,3 19,2 20,9
 including pupils, students or interns in % 5,4 6,6 8,9
 including retirees in % 10,2 8,4 7,8
 including other economically inactive people in % 5,7 4,1 4,1
  • 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 2 875 2 274 79,1 2 120 73,7
 15 to 24 years old 456 186 40,8 148 32,5
 25 to 54 years old 1 923 1 846 96,0 1 740 90,5
 55 to 64 years old 496 242 48,8 232 46,8
Male 1 463 1 198 81,9 1 123 76,8
 15 to 24 years old 235 108 46,0 88 37,4
 25 to 54 years old 978 954 97,5 906 92,6
 55 to 64 years old 250 136 54,4 129 51,6
Female 1 412 1 076 76,2 997 70,6
 15 to 24 years old 221 78 35,3 60 27,1
 25 to 54 years old 945 892 94,4 834 88,3
 55 to 64 years old 246 106 43,1 103 41,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 73,7
Unemployed workers 5,4
Retirees 7,8
Pupils, students or interns 8,9
Other economically inactive people 4,1
  • 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 2 033 1 861 2 170 1 967 2 280 2 120
including
 Farmer operators 38 38 50 50 55 55
 Handicrafters, traders and business leaders 80 73 129 129 120 120
 Managers and higher intellectual professions 141 133 203 203 225 220
 Middle-level occupations 553 511 622 578 570 555
 Services employee 553 511 494 455 610 560
 Blue-collar workers 664 595 662 553 695 610
  • 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 150 178 154
Unemployment rate in % 7,4 8,0 6,8
Unemployment of the 15-24 aged 17,9 23,7 20,4
Unemployment of the 25-54 aged 6,1 6,6 5,7
Unemployment of the 55-64 aged 7,3 7,0 4,1
  • 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 14,4
BEPC brevet des collèges or DNB 8,2
CAP, BEP or equivalent 5,7
Baccalauréat, brevet professionnel or equivalent 8,5
2 years at university 5,5
3 to 4 years at university 4,4
5 years and over at university 3,8
  • 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 963 971 960
People in work living in the area 1 870 2 041 2 129
Employment concentration indicator 51,5 47,6 45,1
Activity rate of 15 years old and over in % 67,5 66,9 63,4
  • 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 963 100,0 971 100,0 960 100,0
Employee 810 84,1 821 84,6 818 85,2
 including women 359 37,3 378 38,9 389 40,6
 including part-time workers 162 16,9 170 17,5 159 16,6
Non-employee 153 15,9 150 15,4 142 14,8
 including women 43 4,4 49 5,0 47 4,9
 including part-time workers 14 1,4 17 1,7 8 0,8
  • 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 999 100,0
Farmer operators 45 4,5
Handicrafters, traders, business leaders 52 5,2
Managers and higher intellectual professions 62 6,2
Middle-level occupations 261 26,1
Services employee 255 25,5
Blue-collar workers 324 32,4
  • 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 3,3 4,7 4,5
Handicrafters, traders, business leaders 6,2 8,3 5,2
Managers and higher intellectual professions 6,6 10,8 6,2
Middle-level occupations 25,3 27,3 26,1
Services employee 21,9 16,5 25,5
Blue-collar workers 36,7 32,4 32,4
  • 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 917 100,0 1 047 100,0 999 100,0 48,3 86,3
Agriculture 50 5,5 70 6,7 63 6,3 27,9 20,4
Industry 307 33,5 326 31,2 253 25,3 40,8 96,0
Construction 85 9,3 162 15,5 117 11,7 21,3 86,3
Wholesale and retail trade/transports/accommodations and food service activities 288 31,4 333 31,9 345 34,5 40,8 86,6
Public administration/education/healthcare/social work 187 20,4 155 14,8 222 22,2 88,7 93,2
  • 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 58,3 20,1
Industry 38,4 100,0
Construction 24,7 0,0
Wholesale and retail trade, transports, accommodations and food service activities 41,2 38,2
Public administration, education, healthcare, social work 90,3 67,1
  • 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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