Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Mareuil en Périgord (24253)

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Paru le :12/09/2022

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This municipality has experienced contour changes since 2010:

  • 01/01/2017 – Mareuil devient commune déléguée (chef-lieu) au sein de Mareuil en Périgord (24253) (commune nouvelle).
  • 01/01/2017 – Création de la commune nouvelle de Mareuil en Périgord en lieu et place des communes de Beaussac (24033), de Champeaux-et-la-Chapelle-Pommier (24099), des Graulges (24203), de Léguillac-de-Cercles (24235), de Mareuil (24253), de Monsec (24283), de Puyrenier (24344), de Saint-Sulpice-de-Mareuil (24503) et de Vieux-Mareuil (24579) 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 1 452 1 455 1 193
Labor force in % 68,8 69,1 74,9
 including people in work in % 62,0 62,1 65,7
 including unemployed workers in % 6,9 7,0 9,2
Economically inactive people in % 31,2 30,9 25,1
 including pupils, students or interns in % 5,8 6,1 5,5
 including retirees in % 15,3 16,8 11,4
 including other economically inactive people in % 10,1 8,0 8,2
  • 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 1 193 893 74,9 784 65,7
 15 to 24 years old 149 74 50,0 53 35,6
 25 to 54 years old 673 626 93,0 558 82,9
 55 to 64 years old 370 192 51,9 172 46,5
Male 602 473 78,6 410 68,2
 15 to 24 years old 74 44 60,2 27 37,3
 25 to 54 years old 341 325 95,5 292 85,7
 55 to 64 years old 188 103 55,0 91 48,6
Female 591 420 71,1 373 63,2
 15 to 24 years old 75 30 40,0 26 34,0
 25 to 54 years old 333 301 90,5 266 80,1
 55 to 64 years old 183 89 48,7 81 44,4
  • 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 65,7
Unemployed workers 9,2
Retirees 11,4
Pupils, students or interns 5,5
Other economically inactive people 8,2
  • 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 997 897 956 871 824 770
including
 Farmer operators 84 84 71 71 47 42
 Handicrafters, traders and business leaders 148 128 154 150 108 103
 Managers and higher intellectual professions 61 53 48 44 83 78
 Middle-level occupations 148 144 165 153 130 125
 Services employee 253 229 274 242 234 224
 Blue-collar workers 287 259 244 211 217 197
  • 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 100 102 109
Unemployment rate in % 10,0 10,1 12,2
Unemployment of the 15-24 aged 16,1 17,8 28,8
Unemployment of the 25-54 aged 9,1 9,6 10,9
Unemployment of the 55-64 aged 10,2 8,8 10,3
  • 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 19,3
BEPC brevet des collèges or DNB 11,7
CAP, BEP or equivalent 13,9
Baccalauréat, brevet professionnel or equivalent 10,3
2 years at university 9,7
3 to 4 years at university 6,7
5 years and over at university 6,1
  • 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 939 864 758
People in work living in the area 918 929 814
Employment concentration indicator 102,3 93,0 93,1
Activity rate of 15 years old and over in % 46,0 46,3 45,3
  • 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 939 100,0 864 100,0 758 100,0
Employee 701 74,6 632 73,1 547 72,1
 including women 353 37,6 347 40,2 317 41,8
 including part-time workers 124 13,2 112 13,0 103 13,6
Non-employee 238 25,4 232 26,9 211 27,9
 including women 76 8,1 74 8,5 70 9,2
 including part-time workers 20 2,1 36 4,2 47 6,2
  • 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 758 100,0
Farmer operators 43 5,7
Handicrafters, traders, business leaders 140 18,4
Managers and higher intellectual professions 80 10,5
Middle-level occupations 100 13,2
Services employee 251 33,1
Blue-collar workers 144 19,0
  • 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 8,5 9,2 5,7
Handicrafters, traders, business leaders 12,8 15,0 18,4
Managers and higher intellectual professions 4,8 5,0 10,5
Middle-level occupations 18,1 16,1 13,2
Services employee 27,3 26,7 33,1
Blue-collar workers 28,6 28,0 19,0
  • 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 939 100,0 968 100,0 758 100,0 50,8 70,7
Agriculture 100 10,7 143 14,8 57 7,5 20,5 24,5
Industry 254 27,0 230 23,8 144 19,1 45,5 67,0
Construction 87 9,3 58 5,9 63 8,3 7,7 15,8
Wholesale and retail trade/transports/accommodations and food service activities 208 22,1 253 26,1 238 31,4 45,9 71,1
Public administration/education/healthcare/social work 290 30,9 284 29,4 255 33,7 75,7 96,2
  • 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 63,7 6,5
Industry 53,3 29,8
Construction 0,0 9,2
Wholesale and retail trade, transports, accommodations and food service activities 50,0 35,7
Public administration, education, healthcare, social work 76,7 51,7
  • 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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