Labor force, employment and unemployment within the sense of the census in 2019 Municipality of Saint-Maximin-la-Sainte-Baume (83116)
tableauEMP T1 - Population aged 15 to 64 by economic activity status
2008 | 2013 | 2019 | |
---|---|---|---|
Altogether | 9 006 | 9 873 | 10 604 |
Labor force in % | 68,5 | 72,1 | 72,2 |
including people in work in % | 60,2 | 62,5 | 61,9 |
including unemployed workers in % | 8,2 | 9,6 | 10,3 |
Economically inactive people in % | 31,5 | 27,9 | 27,8 |
including pupils, students or interns in % | 9,7 | 9,3 | 10,6 |
including retirees in % | 9,1 | 9,3 | 7,7 |
including other economically inactive people in % | 12,7 | 9,3 | 9,6 |
- Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.
tableauEMP 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 | 10 604 | 7 654 | 72,2 | 6 567 | 61,9 |
15 to 24 years old | 1 916 | 736 | 38,4 | 502 | 26,2 |
25 to 54 years old | 6 245 | 5 651 | 90,5 | 4 979 | 79,7 |
55 to 64 years old | 2 443 | 1 266 | 51,8 | 1 085 | 44,4 |
Male | 5 123 | 3 906 | 76,2 | 3 447 | 67,3 |
15 to 24 years old | 952 | 405 | 42,6 | 283 | 29,8 |
25 to 54 years old | 3 010 | 2 849 | 94,7 | 2 595 | 86,2 |
55 to 64 years old | 1 162 | 651 | 56,0 | 569 | 49,0 |
Female | 5 480 | 3 748 | 68,4 | 3 119 | 56,9 |
15 to 24 years old | 965 | 331 | 34,3 | 218 | 22,6 |
25 to 54 years old | 3 235 | 2 802 | 86,6 | 2 385 | 73,7 |
55 to 64 years old | 1 281 | 615 | 48,0 | 516 | 40,3 |
- Source: Insee, RP2019 main operation, geography as of 01/01/2022.
tableauEMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%) | |
---|---|
People in work | 61,9 |
Unemployed workers | 10,3 |
Retirees | 7,7 |
Pupils, students or interns | 10,6 |
Other economically inactive people | 9,6 |
- Source: Insee, RP2019 main operation, geography as of 01/01/2022.
graphiqueEMP G1 - Population aged 15 to 64 by economic activity status in 2019

- Source: Insee, RP2019 main operation, geography as of 01/01/2022.
tableauEMP 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 | 6 179 | 5 435 | 7 113 | 6 169 | 7 644 | 6 553 |
including | ||||||
Farmer operators | 50 | 45 | 49 | 49 | 51 | 51 |
Handicrafters, traders and business leaders | 489 | 454 | 687 | 608 | 710 | 673 |
Managers and higher intellectual professions | 876 | 846 | 974 | 918 | 1 162 | 1 089 |
Middle-level occupations | 1 467 | 1 332 | 1 971 | 1 811 | 2 104 | 1 881 |
Services employee | 1 913 | 1 630 | 2 168 | 1 809 | 2 265 | 1 867 |
Blue-collar workers | 1 323 | 1 127 | 1 192 | 974 | 1 242 | 993 |
- Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.
tableauEMP T4 - Unemployment of the 15-64 aged population
2008 | 2013 | 2019 | |
---|---|---|---|
Number of unemployed workers | 742 | 948 | 1 087 |
Unemployment rate in % | 12,0 | 13,3 | 14,2 |
Unemployment of the 15-24 aged | 22,9 | 33,7 | 31,8 |
Unemployment of the 25-54 aged | 10,0 | 10,9 | 11,9 |
Unemployment of the 55-64 aged | 14,8 | 10,7 | 14,3 |
- Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.
tableauEMP 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 | 25,4 |
BEPC brevet des collèges or DNB | 27,8 |
CAP, BEP or equivalent | 14,4 |
Baccalauréat, brevet professionnel or equivalent | 16,2 |
2 years at university | 8,6 |
3 to 4 years at university | 8,4 |
5 years and over at university | 8,9 |
- Source: Insee, RP2019 main operation, geography as of 01/01/2022.
graphiqueEMP 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.
tableauEMP T5 - Employment and activity
2008 | 2013 | 2019 | |
---|---|---|---|
Number of jobs in the area | 3 820 | 4 961 | 5 179 |
People in work living in the area | 5 457 | 6 237 | 6 695 |
Employment concentration indicator | 70,0 | 79,5 | 77,4 |
Activity rate of 15 years old and over in % | 55,4 | 56,4 | 55,6 |
- 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.
tableauEMP T6 - Employment by working status
2008 | % | 2013 | % | 2019 | % | |
---|---|---|---|---|---|---|
Altogether | 3 820 | 100,0 | 4 961 | 100,0 | 5 179 | 100,0 |
Employee | 3 112 | 81,5 | 3 882 | 78,2 | 4 005 | 77,3 |
including women | 1 586 | 41,5 | 2 139 | 43,1 | 2 341 | 45,2 |
including part-time workers | 741 | 19,4 | 981 | 19,8 | 977 | 18,9 |
Non-employee | 709 | 18,5 | 1 079 | 21,8 | 1 174 | 22,7 |
including women | 276 | 7,2 | 418 | 8,4 | 454 | 8,8 |
including part-time workers | 84 | 2,2 | 152 | 3,1 | 201 | 3,9 |
- Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.
tableauEMP T7 - Employment by socioprofessional activity in 2019
Number | % | |
---|---|---|
Altogether | 5 177 | 100,0 |
Farmer operators | 78 | 1,5 |
Handicrafters, traders, business leaders | 679 | 13,1 |
Managers and higher intellectual professions | 676 | 13,0 |
Middle-level occupations | 1 190 | 23,0 |
Services employee | 1 741 | 33,6 |
Blue-collar workers | 813 | 15,7 |
- Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.
tableauEMP G3 - Employment by socioprofessional activity
2008 | 2013 | 2019 | |
---|---|---|---|
Farmer operators | 1,1 | 1,2 | 1,5 |
Handicrafters, traders, business leaders | 11,1 | 12,0 | 13,1 |
Managers and higher intellectual professions | 11,5 | 13,1 | 13,0 |
Middle-level occupations | 24,0 | 27,2 | 23,0 |
Services employee | 32,0 | 33,1 | 33,6 |
Blue-collar workers | 20,3 | 13,5 | 15,7 |
- Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.
graphiqueEMP G3 - Employment by socioprofessional activity

- Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.
tableauEMP T8 - Employment by economic sectors
2008 | 2013 | 2019 | ||||||
---|---|---|---|---|---|---|---|---|
Number | % | Number | % | Number | % | including women in % | including employees % | |
Altogether | 3 775 | 100,0 | 4 789 | 100,0 | 5 177 | 100,0 | 54,1 | 79,7 |
Agriculture | 72 | 1,9 | 73 | 1,5 | 137 | 2,6 | 23,7 | 47,1 |
Industry | 223 | 5,9 | 245 | 5,1 | 201 | 3,9 | 23,8 | 82,0 |
Construction | 413 | 10,9 | 394 | 8,2 | 393 | 7,6 | 15,4 | 55,0 |
Wholesale and retail trade/transports/accommodations and food service activities | 1 740 | 46,1 | 2 106 | 44,0 | 2 628 | 50,8 | 52,8 | 77,7 |
Public administration/education/healthcare/social work | 1 328 | 35,2 | 1 970 | 41,1 | 1 818 | 35,1 | 70,0 | 90,1 |
- Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.
tableauEMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees | Non-employees | |
---|---|---|
Agriculture | 23,4 | 23,9 |
Industry | 22,2 | 30,9 |
Construction | 18,1 | 12,2 |
Wholesale and retail trade, transports, accommodations and food service activities | 56,9 | 38,6 |
Public administration, education, healthcare, social work | 70,6 | 64,8 |
- Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.
graphiqueEMP 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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