Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Longny les Villages (61230)

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Paru le :12/09/2022

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This municipality has experienced contour changes since 2010:

  • 01/01/2016 – Longny-au-Perche devient commune déléguée (chef-lieu) au sein de Longny les Villages (61230) (commune nouvelle).
  • 01/01/2016 – Création de la commune nouvelle de Longny les Villages en lieu et place des communes de La Lande-sur-Eure (61220), de Longny-au-Perche (61230), de Malétable (61247), de Marchainville (61250), de Monceaux-au-Perche (61280), de Moulicent (61296), de Neuilly-sur-Eure (61305) et de Saint-Victor-de-Réno (61458) 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 1 888 1 783 1 683
Labor force in % 71,4 72,4 73,6
 including people in work in % 62,0 63,8 64,0
 including unemployed workers in % 9,4 8,6 9,6
Economically inactive people in % 28,6 27,6 26,4
 including pupils, students or interns in % 6,4 5,7 7,1
 including retirees in % 12,8 13,7 12,1
 including other economically inactive people in % 9,5 8,2 7,3
  • 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 1 683 1 239 73,6 1 078 64,0
 15 to 24 years old 259 134 51,8 94 36,3
 25 to 54 years old 948 880 92,9 787 83,0
 55 to 64 years old 476 224 47,1 197 41,3
Male 829 639 77,1 545 65,8
 15 to 24 years old 130 78 60,2 58 44,4
 25 to 54 years old 462 440 95,1 387 83,6
 55 to 64 years old 237 121 51,2 101 42,6
Female 855 600 70,2 533 62,3
 15 to 24 years old 130 56 43,4 37 28,2
 25 to 54 years old 486 441 90,8 400 82,4
 55 to 64 years old 239 103 43,0 96 40,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 64,0
Unemployed workers 9,6
Retirees 12,1
Pupils, students or interns 7,1
Other economically inactive people 7,3
  • 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 1 341 1 165 1 236 1 060 1 203 1 008
including
 Farmer operators 56 56 44 44 56 56
 Handicrafters, traders and business leaders 165 165 107 82 94 77
 Managers and higher intellectual professions 100 100 94 76 70 58
 Middle-level occupations 200 192 234 217 202 187
 Services employee 344 300 357 314 408 360
 Blue-collar workers 464 352 401 328 373 270
  • 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 177 153 161
Unemployment rate in % 13,1 11,9 13,0
Unemployment of the 15-24 aged 22,1 25,2 30,0
Unemployment of the 25-54 aged 12,2 10,1 10,6
Unemployment of the 55-64 aged 9,8 11,3 12,3
  • 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 18,6
BEPC brevet des collèges or DNB 12,2
CAP, BEP or equivalent 13,9
Baccalauréat, brevet professionnel or equivalent 12,8
2 years at university 9,7
3 to 4 years at university 4,9
5 years and over at university 6,4
  • 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 962 964 895
People in work living in the area 1 180 1 155 1 102
Employment concentration indicator 81,5 83,4 81,3
Activity rate of 15 years old and over in % 50,3 49,7 49,5
  • 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 962 100,0 964 100,0 895 100,0
Employee 720 74,8 721 74,8 665 74,3
 including women 393 40,9 368 38,2 381 42,6
 including part-time workers 161 16,7 142 14,7 130 14,5
Non-employee 242 25,2 243 25,2 230 25,7
 including women 80 8,3 94 9,7 85 9,5
 including part-time workers 9 0,9 31 3,2 31 3,5
  • 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 920 100,0
Farmer operators 56 6,1
Handicrafters, traders, business leaders 93 10,1
Managers and higher intellectual professions 61 6,7
Middle-level occupations 133 14,4
Services employee 301 32,7
Blue-collar workers 275 29,9
  • 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 6,4 4,9 6,1
Handicrafters, traders, business leaders 16,7 11,9 10,1
Managers and higher intellectual professions 7,2 6,0 6,7
Middle-level occupations 12,1 14,5 14,4
Services employee 25,1 26,0 32,7
Blue-collar workers 32,5 36,6 29,9
  • 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 951 100,0 975 100,0 920 100,0 54,7 81,6
Agriculture 93 9,7 85 8,7 73 7,9 55,0 25,6
Industry 221 23,3 229 23,5 208 22,7 35,0 90,6
Construction 72 7,6 77 7,9 50 5,5 9,0 60,4
Wholesale and retail trade/transports/accommodations and food service activities 325 34,2 328 33,7 248 26,9 45,4 71,5
Public administration/education/healthcare/social work 240 25,2 255 26,2 340 37,0 80,3 98,5
  • 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 48,5 57,2
Industry 36,0 24,8
Construction 14,8 0,0
Wholesale and retail trade, transports, accommodations and food service activities 50,6 32,4
Public administration, education, healthcare, social work 81,5 0,0
  • 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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