Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Saint-Sauveur-Villages (50550)

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Paru le :12/09/2022

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This municipality has experienced contour changes since 2010:

  • 01/01/2019 – Saint-Sauveur-Lendelin devient commune déléguée (chef-lieu) au sein de Saint-Sauveur-Villages (50550) (commune nouvelle).
  • 01/01/2019 – Création de la commune nouvelle de Saint-Sauveur-Villages en lieu et place des communes d'Ancteville (50007), du Mesnilbus (50308), de La Ronde-Haye (50438), de Saint-Aubin-du-Perron (50449), de Saint-Michel-de-la-Pierre (50524), de Saint-Sauveur-Lendelin (50550) et de Vaudrimesnil (50622) 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 1 951 2 007 2 108
Labor force in % 69,9 73,9 74,8
 including people in work in % 65,2 68,1 68,2
 including unemployed workers in % 4,7 5,8 6,6
Economically inactive people in % 30,1 26,1 25,2
 including pupils, students or interns in % 10,8 9,7 9,3
 including retirees in % 11,0 8,8 7,9
 including other economically inactive people in % 8,2 7,5 8,0
  • 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 2 108 1 576 74,8 1 437 68,2
 15 to 24 years old 372 174 46,7 137 36,7
 25 to 54 years old 1 308 1 197 91,6 1 117 85,4
 55 to 64 years old 428 205 48,0 184 43,0
Male 1 096 837 76,4 770 70,2
 15 to 24 years old 205 107 52,3 87 42,2
 25 to 54 years old 655 612 93,5 575 87,9
 55 to 64 years old 236 118 49,9 108 45,6
Female 1 011 739 73,1 668 66,0
 15 to 24 years old 167 66 39,7 50 30,0
 25 to 54 years old 653 585 89,6 541 82,9
 55 to 64 years old 192 87 45,6 76 39,8
  • 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 68,2
Unemployed workers 6,6
Retirees 7,9
Pupils, students or interns 9,3
Other economically inactive people 8,0
  • 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 1 263 1 193 1 473 1 321 1 604 1 462
including
 Farmer operators 50 50 25 21 51 46
 Handicrafters, traders and business leaders 109 105 101 91 92 87
 Managers and higher intellectual professions 48 44 68 68 76 71
 Middle-level occupations 251 251 230 222 298 273
 Services employee 373 344 492 457 504 454
 Blue-collar workers 432 399 552 462 567 531
  • 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 92 117 139
Unemployment rate in % 6,8 7,9 8,8
Unemployment of the 15-24 aged 16,7 21,4 21,3
Unemployment of the 25-54 aged 5,5 6,6 6,7
Unemployment of the 55-64 aged 4,4 6,2 10,4
  • 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 9,3
BEPC brevet des collèges or DNB 11,9
CAP, BEP or equivalent 8,9
Baccalauréat, brevet professionnel or equivalent 8,7
2 years at university 5,4
3 to 4 years at university 10,2
5 years and over at university 9,5
  • 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 546 592 558
People in work living in the area 1 278 1 382 1 456
Employment concentration indicator 42,7 42,9 38,3
Activity rate of 15 years old and over in % 51,8 54,1 55,4
  • 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 546 100,0 592 100,0 558 100,0
Employee 378 69,3 426 72,0 418 74,9
 including women 241 44,2 273 46,1 273 48,8
 including part-time workers 121 22,2 120 20,2 128 22,9
Non-employee 167 30,7 166 28,0 140 25,1
 including women 50 9,1 56 9,5 46 8,2
 including part-time workers 8 1,5 11 1,9 13 2,4
  • 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 585 100,0
Farmer operators 51 8,7
Handicrafters, traders, business leaders 71 12,2
Managers and higher intellectual professions 51 8,7
Middle-level occupations 127 21,7
Services employee 184 31,5
Blue-collar workers 101 17,2
  • 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 12,0 3,2 8,7
Handicrafters, traders, business leaders 13,0 11,9 12,2
Managers and higher intellectual professions 7,1 5,0 8,7
Middle-level occupations 16,5 22,3 21,7
Services employee 29,1 38,3 31,5
Blue-collar workers 22,3 19,3 17,2
  • 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 483 100,0 495 100,0 585 100,0 52,0 76,5
Agriculture 91 18,8 33 6,7 66 11,3 38,5 23,1
Industry 42 8,7 40 8,1 20 3,4 0,0 100,0
Construction 32 6,6 17 3,5 51 8,7 9,8 39,8
Wholesale and retail trade/transports/accommodations and food service activities 119 24,7 166 33,6 166 28,5 42,7 66,5
Public administration/education/healthcare/social work 198 41,1 238 48,1 281 48,1 72,1 100,0
  • 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 50,1
Industry 0,0
Construction 0,0 16,3
Wholesale and retail trade, transports, accommodations and food service activities 50,5 27,3
Public administration, education, healthcare, social work 72,1
  • 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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