données locales

Paru le : 21/02/2023

Full set of local data Employment area 2020 of Marseille (9312)

Detailed figures
Paru le :Paru le21/02/2023
- February 2023

Growth and structure of the population in 2019

Employment area 2020 of Marseille (9312)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 1 201 316 100,0 1 206 886 100,0 1 232 793 100,0
0 to 14 years old 216 302 18,0 218 647 18,1 220 774 17,9
15 to 29 years old 234 573 19,5 223 595 18,5 221 549 18,0
30 to 44 years old 242 585 20,2 235 363 19,5 232 220 18,8
45 to 59 years old 233 146 19,4 233 633 19,4 238 116 19,3
60 to 74 years old 163 969 13,6 178 887 14,8 196 968 16,0
75 and over 110 741 9,2 116 760 9,7 123 167 10,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 18,0 18,1 17,9
15 to 29 years old 19,5 18,5 18,0
30 to 44 years old 20,2 19,5 18,8
45 to 59 years old 19,4 19,4 19,3
60 to 74 years old 13,6 14,8 16,0
75 and over 9,2 9,7 10,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP T1 - Population since 1968: population and average density (residents per square kilometre)

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 1 051 354 1 123 007 1 132 595 1 104 249 1 128 634 1 201 316 1 206 886 1 232 793
Average density (inhab / km²) 1 125,6 1 202,3 1 212,5 1 182,2 1 208,3 1 286,1 1 292,1 1 319,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 0,9 0,1 –0,3 0,2 0,7 0,1 0,4
due to the natural balance in % 0,4 0,2 0,3 0,2 0,4 0,5 0,5
due to the apparent balance of inflows and outflows in % 0,6 –0,1 –0,6 –0,0 0,3 –0,4 –0,1
Natality rate (‰) 14,6 12,6 13,2 12,9 13,3 13,8 13,8
Mortality rate (‰) 10,7 10,4 10,4 10,4 9,2 8,7 8,9
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 585 266 100,0 647 527 100,0
0 to 14 years old 112 665 19,3 108 108 16,7
15 to 29 years old 109 680 18,7 111 869 17,3
30 to 44 years old 110 811 18,9 121 408 18,7
45 to 59 years old 113 796 19,4 124 319 19,2
60 to 74 years old 90 873 15,5 106 096 16,4
75 to 89 years old 43 036 7,4 63 421 9,8
90 years and over 4 404 0,8 12 306 1,9
0 to 19 years old 150 551 25,7 144 395 22,3
20 to 64 years old 329 770 56,3 358 720 55,4
65 and over 104 945 17,9 144 411 22,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 1 191 656 100,0 1 217 992 100,0
In the same house 1 062 541 89,2 1 092 079 89,7
In another house in the same town 80 185 6,7 76 968 6,3
In another town 48 929 4,1 48 945 4,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP G3 - Home address 1 year before for people living in another house, by age in %

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 68,0 32,0
15 to 24 years old 52,8 47,2
25 to 54 years old 61,8 38,2
55 years old and over 61,2 38,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP G3 - Home address 1 year before for people living in another house, by age in %

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T5 - Population aged 15 years and over by socioprofessional classification

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 984 537 100,0 988 334 100,0 1 011 599 100,0
Farmer operators 825 0,1 618 0,1 561 0,1
Craftsmen, traders, business leaders 30 451 3,1 32 587 3,3 33 735 3,3
Managers and higher intellectual professions 80 669 8,2 88 542 9,0 95 491 9,4
Middle-level occupations 134 848 13,7 138 578 14,0 141 362 14,0
Services employee 168 816 17,1 165 872 16,8 164 015 16,2
Blue-collar workers 98 080 10,0 93 783 9,5 88 844 8,8
Retirees 246 909 25,1 253 916 25,7 257 988 25,5
Other people with no professional activity 223 938 22,7 214 438 21,7 229 602 22,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 471 950 539 649 100,0 100,0 100,0
Farmer operators 405 156 0,0 0,1 0,0
Craftsmen, traders, business leaders 24 590 9 145 0,7 5,3 2,0
Managers and higher intellectual professions 54 021 41 470 2,0 15,6 4,9
Middle-level occupations 62 493 78 869 7,0 23,1 5,8
Services employee 50 471 113 544 13,0 25,1 6,9
Blue-collar workers 74 043 14 801 7,5 13,7 3,4
Retirees 116 480 141 508 0,0 0,3 64,8
Other people without professional activity 89 446 140 156 69,9 16,7 12,1
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Employment area 2020 of Marseille (9312)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 516 975 100,0 531 153 100,0 556 664 100,0 1 170 580 1 175 978 1 203 398
One-person households (male and female) 183 727 35,5 197 536 37,2 218 895 39,3 183 727 197 536 218 895
 Single Male 72 255 14,0 81 611 15,4 93 073 16,7 72 255 81 611 93 073
 Single Female 111 472 21,6 115 925 21,8 125 821 22,6 111 472 115 925 125 821
Other households without families 16 901 3,3 17 279 3,3 12 953 2,3 40 251 40 752 30 070
Family households: 316 347 61,2 316 338 59,6 324 817 58,4 946 602 937 690 954 433
 Couple with no children 120 016 23,2 119 604 22,5 122 801 22,1 249 814 247 586 253 215
 Couple with children 133 846 25,9 131 641 24,8 130 885 23,5 525 283 512 610 510 551
 Single parent 62 485 12,1 65 094 12,3 71 131 12,8 171 505 177 494 190 667
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 2,98 2,79 2,64 2,49 2,33 2,26 2,21 2,16
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 4,2 4,8 5,9
20 to 24 years old 16,0 16,9 19,3
25 to 39 years old 15,1 15,5 17,0
40 to 54 years old 14,1 15,2 16,5
55 to 64 years old 21,4 23,4 24,9
65 to 79 years old 29,6 30,5 32,2
80 and over 50,1 50,1 49,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 2,0 1,9 1,9
20 to 24 years old 18,7 17,9 16,9
25 to 39 years old 61,3 61,6 60,2
40 to 54 years old 67,1 65,6 65,3
55 to 64 years old 67,6 65,2 63,5
65 to 79 years old 61,3 61,3 61,3
80 and over 35,7 36,5 38,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 40,1
Civil partnership 3,8
In cohabitation 9,9
Widowed 7,1
Divorced 8,2
Single 30,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM T2 - Households by socioprofessional classification of the reference person in 2019

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 556 664 100,0 1 203 398 100,0
Farmer operators 383 0,1 982 0,1
Craftsmen, traders, business leaders 24 571 4,4 67 456 5,6
Managers and higher intellectual professions 64 394 11,6 156 831 13,0
Middle-level occupations 88 698 15,9 212 254 17,6
Services employee 99 631 17,9 242 266 20,1
Blue-collar workers 60 875 10,9 168 270 14,0
Retirees 157 795 28,3 242 270 20,1
Other people with no professional activity 60 317 10,8 113 069 9,4
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,1
Handicrafters, traders, business leaders 4,4
Managers and higher intellectual professions 11,6
Middle-level occupations 15,9
Services employee 17,9
Blue-collar workers 10,9
Retirees 28,3
Unemployed persons 10,8
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 319 724 100,0 319 513 100,0 328 695 100,0
Couple with children 134 330 42,0 132 032 41,3 131 429 40,0
Single parent 64 150 20,1 66 886 20,9 73 232 22,3
Male single parent 8 065 2,5 9 064 2,8 11 383 3,5
Female single parent 56 084 17,5 57 822 18,1 61 849 18,8
Couple with no children 121 245 37,9 120 595 37,7 124 034 37,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM T4 - Families by number of children under 25 years old

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 319 724 100,0 319 513 100,0 328 695 100,0
No children 142 802 44,7 143 092 44,8 151 237 46,0
1 child 79 478 24,9 80 214 25,1 80 802 24,6
2 children 64 794 20,3 64 908 20,3 64 856 19,7
3 children 22 680 7,1 22 257 7,0 22 319 6,8
4 children and over 9 970 3,1 9 041 2,8 9 480 2,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Employment area 2020 of Marseille (9312)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Altogether 380 014 436 434 469 167 497 663 529 669 572 785 597 256 635 547
Main residences 343 375 392 739 419 932 432 501 471 615 516 981 531 087 556 752
Second homes 14 876 14 869 19 253 23 110 20 033 19 585 24 823 30 712
Vacant dwellings 21 763 28 826 29 982 42 052 38 021 36 219 41 346 48 083
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2008 % 2013 % 2019 %
Altogether 572 785 100,0 597 256 100,0 635 547 100,0
Main residences 516 981 90,3 531 087 88,9 556 752 87,6
Second homes 19 585 3,4 24 823 4,2 30 712 4,8
Vacant dwellings 36 219 6,3 41 346 6,9 48 083 7,6
Houses 158 424 27,7 161 182 27,0 167 607 26,4
Flats 408 471 71,3 430 467 72,1 463 299 72,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 516 981 100,0 531 087 100,0 556 752 100,0
1 room 35 581 6,9 37 183 7,0 41 228 7,4
2 rooms 85 401 16,5 88 671 16,7 99 540 17,9
3 rooms 161 792 31,3 171 125 32,2 182 572 32,8
4 rooms 144 209 27,9 146 785 27,6 145 526 26,1
5 rooms and over 89 999 17,4 87 323 16,4 87 886 15,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 3,4 3,4 3,3
Houses 4,3 4,3 4,3
Flats 3,1 3,0 3,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 9,3
Non-over-occupied 90,7
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG T5 - Main residences in 2019 by completion period

LOG T5 - Main residences in 2019 by completion period
Number %
Principal residences build before 2016 546 599 100,0
before 1919 56 679 10,4
from 1919 to 1945 61 275 11,2
from 1946 to 1970 178 068 32,6
from 1971 to 1990 134 726 24,6
from 1991 to 2005 61 176 11,2
from 2006 to 2015 54 675 10,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 13 966 42 235
from 1919 to 1945 20 265 40 727
from 1946 to 1970 29 622 147 642
from 1971 to 1990 47 106 86 688
from 1991 to 2005 26 645 33 981
from 2006 to 2015 12 101 42 012
  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T6 - Main residence tenure in 2019

LOG T6 - Main residence tenure in 2019
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 556 752 100,0 1 203 528 3,3 1,5
Less than 2 years 72 350 13,0 144 109 2,7 1,4
From 2 to 4 years 122 303 22,0 272 996 2,9 1,3
From 5 to 9 years 97 059 17,4 240 793 3,3 1,3
10 years and over 265 040 47,6 545 630 3,7 1,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 13,0
From 2 to 4 years 22,0
From 5 to 9 years 17,4
From 10 to 19 years 18,7
From 20 to 29 years 12,2
30 years and over 16,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 516 981 100,0 531 087 100,0 556 752 100,0 1 203 528 14,6
Homeowner 253 524 49,0 259 897 48,9 270 524 48,6 594 454 19,7
Tenant 247 515 47,9 256 682 48,3 272 566 49,0 581 600 9,6
(including social sector housing) 80 084 15,5 84 745 16,0 83 245 15,0 207 448 15,2
Housed for free 15 941 3,1 14 508 2,7 13 662 2,5 27 474 12,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2008 % 2013 % 2019 %
Altogether 516 981 100,0 531 087 100,0 556 752 100,0
Bathroom including a shower or a bath 497 641 96,3 512 393 96,5 535 233 96,1
Collective central heating 121 253 23,5 124 614 23,5 128 438 23,1
Individual central heating 187 740 36,3 174 877 32,9 171 293 30,8
Individual electric heating 171 339 33,1 200 360 37,7 232 820 41,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2008 % 2013 % 2019 %
Altogether 516 981 100,0 531 087 100,0 556 752 100,0
At least one parking spot 231 800 44,8 243 828 45,9 267 581 48,1
At least one car 381 063 73,7 389 601 73,4 407 520 73,2
1 car 249 332 48,2 256 652 48,3 270 226 48,5
2 cars and over 131 731 25,5 132 949 25,0 137 294 24,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Employment area 2020 of Marseille (9312)

FOR T1 - Enrollment by age and sex in 2019

FOR T1 - Enrollment by age and sex in 2019
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 59 342 43 212 72,8 72,0 73,6
6 to 10 years old 74 936 72 717 97,0 97,0 97,1
11 to 14 years old 58 127 56 924 97,9 98,0 97,9
15 to 17 years old 42 558 40 428 95,0 94,6 95,4
18 to 24 years old 105 715 60 600 57,3 54,5 60,1
25 to 29 years old 73 276 8 311 11,3 10,9 11,8
30 years old and over 790 470 9 425 1,2 1,1 1,2
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 72,6 72,3 72,8
6 to 10 years old 98,6 98,5 97,0
11 to 14 years old 99,0 98,9 97,9
15 to 17 years old 95,8 95,7 95,0
18 to 24 years old 57,7 58,1 57,3
25 to 29 years old 10,3 10,3 11,3
30 years old and over 1,3 1,2 1,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 893 256 415 276 477 981
Proportion of graduates in percentage
No diploma or primary education certificate 23,1 22,3 23,8
BEPC brevet des collèges or DNB 5,9 5,5 6,3
CAP, BEP or equivalent 21,0 23,9 18,4
Baccalauréat, brevet professionnel or equivalent 17,2 16,6 17,8
2 years at university 10,8 9,8 11,6
3 to 4 years at university 9,7 8,1 11,1
5 years and over at university 12,3 13,8 11,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 32,0 23,1
BEPC brevet des collèges or DNB 7,1 5,9
CAP, BEP or equivalent 20,1 21,0
Baccalauréat, brevet professionnel or equivalent 15,9 17,2
2 years and over at university 24,8 32,8
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

Labor force, employment and unemployment within the sense of the census in 2019

Employment area 2020 of Marseille (9312)

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 775 173 763 636 762 664
Labor force in % 67,0 68,6 68,9
 including people in work in % 56,5 57,2 58,3
 including unemployed workers in % 10,5 11,5 10,6
Economically inactive people in % 33,0 31,4 31,1
 including pupils, students or interns in % 12,5 11,8 11,9
 including retirees in % 7,7 6,8 5,2
 including other economically inactive people in % 12,9 12,7 13,9
  • 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 762 664 525 636 68,9 444 602 58,3
 15 to 24 years old 148 273 49 984 33,7 34 843 23,5
 25 to 54 years old 467 318 393 127 84,1 336 908 72,1
 55 to 64 years old 147 072 82 525 56,1 72 850 49,5
Male 367 656 266 186 72,4 225 584 61,4
 15 to 24 years old 74 348 26 521 35,7 18 049 24,3
 25 to 54 years old 223 541 198 406 88,8 171 355 76,7
 55 to 64 years old 69 767 41 260 59,1 36 180 51,9
Female 395 008 259 451 65,7 219 018 55,4
 15 to 24 years old 73 925 23 463 31,7 16 795 22,7
 25 to 54 years old 243 778 194 722 79,9 165 553 67,9
 55 to 64 years old 77 305 41 265 53,4 36 670 47,4
  • 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 58,3
Unemployed workers 10,6
Retirees 5,2
Pupils, students or interns 11,9
Other economically inactive people 13,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 518 954 437 863 524 527 437 060 525 849 444 818
including
 Farmer operators 762 736 547 516 524 495
 Handicrafters, traders and business leaders 29 613 26 125 31 315 27 943 32 338 29 590
 Managers and higher intellectual professions 79 698 75 588 86 745 82 390 92 976 88 356
 Middle-level occupations 134 025 121 804 137 016 123 227 139 467 125 758
 Services employee 167 655 137 749 164 189 133 580 161 855 133 052
 Blue-collar workers 97 311 75 861 92 698 69 405 87 573 67 566
  • 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 81 152 87 469 81 035
Unemployment rate in % 15,6 16,7 15,4
Unemployment of the 15-24 aged 28,0 34,2 30,3
Unemployment of the 25-54 aged 14,6 15,2 14,3
Unemployment of the 55-64 aged 10,4 11,5 11,7
  • 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 28,5
BEPC brevet des collèges or DNB 21,5
CAP, BEP or equivalent 18,9
Baccalauréat, brevet professionnel or equivalent 16,2
2 years at university 10,8
3 to 4 years at university 9,5
5 years and over at university 7,8
  • 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 471 165 477 927 484 829
People in work living in the area 442 521 444 040 453 634
Employment concentration indicator 106,5 107,6 106,9
Activity rate of 15 years old and over in % 53,2 53,8 52,9
  • 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 471 165 100,0 477 927 100,0 484 829 100,0
Employee 417 423 88,6 418 109 87,5 420 746 86,8
 including women 206 678 43,9 209 358 43,8 210 890 43,5
 including part-time workers 73 259 15,5 72 182 15,1 70 501 14,5
Non-employee 53 742 11,4 59 818 12,5 64 084 13,2
 including women 18 544 3,9 21 721 4,5 24 461 5,0
 including part-time workers 6 105 1,3 8 025 1,7 9 311 1,9
  • 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 485 575 100,0
Farmer operators 557 0,1
Handicrafters, traders, business leaders 32 186 6,6
Managers and higher intellectual professions 100 019 20,6
Middle-level occupations 139 671 28,8
Services employee 140 792 29,0
Blue-collar workers 72 348 14,9
  • 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 0,2 0,1 0,1
Handicrafters, traders, business leaders 6,0 6,3 6,6
Managers and higher intellectual professions 17,8 19,5 20,6
Middle-level occupations 28,2 28,6 28,8
Services employee 30,8 29,7 29,0
Blue-collar workers 16,9 15,7 14,9
  • 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 470 216 100,0 476 766 100,0 485 575 100,0 48,5 88,0
Agriculture 1 272 0,3 986 0,2 966 0,2 29,1 53,7
Industry 42 881 9,1 42 585 8,9 41 411 8,5 27,7 92,3
Construction 28 774 6,1 28 441 6,0 28 428 5,9 13,2 76,7
Wholesale and retail trade/transports/accommodations and food service activities 232 101 49,4 235 950 49,5 239 601 49,3 43,5 86,1
Public administration/education/healthcare/social work 165 188 35,1 168 804 35,4 175 170 36,1 66,2 91,7
  • 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 29,2 29,1
Industry 27,6 28,1
Construction 15,6 5,6
Wholesale and retail trade, transports, accommodations and food service activities 45,0 34,2
Public administration, education, healthcare, social work 67,0 57,3
  • 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.

Characteristics of employment in the sense of the census in 2019

Employment area 2020 of Marseille (9312)

ACT T1 - Population aged 15 years or over having a job by status in 2019

ACT T1 - Population aged 15 years or over having a job by status in 2019
Number % of which% part-time of which% women
Altogether 453 544 100,0 16,9 49,1
Employees 391 583 86,3 17,3 50,8
Non-employees 61 961 13,7 14,7 38,8
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 230 785 100 222 759 100
Employees 192 839 83,6 198 743 89,2
 Tenured personnel and open-ended employment contracts 164 117 71,1 170 130 76,4
 Fixed-term employment contracts 17 541 7,6 20 554 9,2
 Temporary employment 4 510 2,0 1 647 0,7
 Assisted jobs 1 365 0,6 2 126 1,0
 Apprentice ship contract - Traineeship 5 307 2,3 4 287 1,9
Non-employees 37 946 16,4 24 015 10,8
 Independents 21 686 9,4 17 698 7,9
 Employers 16 065 7,0 5 972 2,7
 Caregivers 195 0,1 346 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 189 785 9,3 195 995 24,3
15 to 24 years old 16 909 27,6 15 880 39,1
25 to 54 years old 144 471 7,3 147 582 22,5
55 to 64 years old 28 405 8,6 32 533 25,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G1 - Proportion of partial time employees aged 15 years or over by sex

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 8,7 9,0 9,7
Female 27,4 26,4 24,6
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G1 - Proportion of partial time employees aged 15 years or over by sex

  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 442 329 100 443 827 100 453 544 100
working :
in their residential zone 301 429 68,1 304 050 68,5 304 320 67,1
in another zone 140 900 31,9 139 777 31,5 149 224 32,9
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 2,6
Walking 7,9
Bicycle 1,4
Motorized two-wheeled vehicles 4,6
Car or truck 62,9
Public transports 20,6
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

Births and Deaths of people with usual residence in the area, 2014-2021

Employment area 2020 of Marseille (9312)

RFD G1 - Births and Deaths of people with usual residence in the area

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021
Domiciled deaths 10 258 10 974 11 006 11 236 11 097 11 242 12 783 12 868
Domiciled births 16 754 16 893 16 570 16 643 16 587 16 532 16 087 16 014
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

RFD G1 - Births and Deaths of people with usual residence in the area

  • Source: Insee, civil status statistics in geography as of 01/01/2022.

Household income and poverty in 2020

Employment area 2020 of Marseille (9312)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 531 361
Number of people in tax households 1 178 574
Median disposable income (per consumption unit in euros) 21 350
Share of actually taxed tax households (in %) 49,2
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 20,8
Less than 30 years old 30,1
30 to 39 years old 24,1
40 to 49 years old 23,8
50 to 59 years old 21,6
60 to 74 years old 15,3
75 and over 13,2
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 20,8
Homeowner 7,1
Tenant 35,0
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 72,1
including wages 62,4
including unemployment pensions 3,6
including self-employed income 6,1
Retirement pension or annuity 27,3
Capital income (real estate, financial, others) 9,3
Social benefits 8,5
including child benefit 2,4
including income support 4,2
including housing benefit 1,9
Tax –17,2
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 21 350
Inter-decile ratio 3,8
1st decile (in euros) 10 310
9th decile (in euros) 39 130
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

Employment area 2020 of Marseille (9312)

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 15,9 14,5 17,0
Managerial staff* 26,0 23,2 27,7
Middle-level occupations 16,3 15,0 17,6
Services employee 11,6 11,5 11,7
Blue-collar workers 12,0 10,3 12,3
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –14,5
Managerial staff* –16,3
Middle-level occupations –14,8
Services employee –2,3
Blue-collar workers –15,9
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL T1 - Average net hourly wage (in euros) by age in 2020

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 10,8 10,5 11,1
26 to 50 years old 15,7 14,6 16,5
50 years old or over 18,3 15,9 20,1
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –5,5
26 to 50 years old –11,7
50 years old and over –20,8
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

Characteristics of establishments at the end of 2020

Employment area 2020 of Marseille (9312)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 42 770 100,0 4 333 31 318 3 539 2 097 1 483
Agriculture, forestry and fishing 143 0,3 41 94 6 2 0
Industrial economy 2 303 5,4 161 1 550 304 166 122
Building industry 4 968 11,6 659 3 810 288 142 69
Trade, transport, various services 30 197 70,6 3 184 22 783 2 284 1 265 681
including trade and car repair 9 112 21,3 739 7 190 691 347 145
Administration publique, enseignement, santé, action sociale 5 159 12,1 288 3 081 657 522 611
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 496 552 100,0 92 842 47 253 63 708 60 373 232 376
Agriculture, forestry and fishing 408 0,1 278 85 45 0 0
Industrial economy 40 686 8,2 5 637 4 062 5 148 4 775 21 064
Building industry 26 513 5,3 10 512 3 770 4 309 3 265 4 657
Trade, transport, various services 238 466 48,0 66 716 30 185 38 023 26 352 77 190
including trade and car repair 58 831 11,8 23 014 9 013 10 316 6 886 9 602
Administration publique, enseignement, santé, action sociale 190 479 38,4 9 699 9 151 16 183 25 981 129 465
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 12,1
Trade, transport, various services* 70,6
Building industry* 11,6
Industrial economy* 5,4
Agriculture, forestry and fishing* 0,3
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 3,5
20 to 49 employees 4,9
10 to 19 employees 8,3
1 to 9 employee(s) 73,2
0 employee 10,1
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 42 770 100,0 496 552 100,0
Productive sphere* 13 174 30,8 147 903 29,8
of which public domain* 22 0,1 5 292 1,1
Presential sphere 29 596 69,2 348 649 70,2
of which public domain* 1 199 2,8 120 967 24,4
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 42 770 100,0 496 552 100,0
Agriculture, forestry and fishing 143 0,3 408 0,1
Manufacture of food, drink and tobacco products 772 1,8 6 665 1,3
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 127 0,3 3 414 0,7
Manufacture of transport equipment 35 0,1 8 894 1,8
Manufacture of other industrial products 1 130 2,6 12 982 2,6
Extractive industries, energy, water, waste management and pollution control 239 0,6 8 731 1,8
Building industry 4 968 11,6 26 513 5,3
Trade ; repair of automobiles and motorcycles 9 112 21,3 58 831 11,8
Transportation and warehousing 1 649 3,9 38 202 7,7
Accommodation and catering 4 112 9,6 22 134 4,5
Information and communication 1 164 2,7 10 832 2,2
Financial and insurance activities 1 891 4,4 16 164 3,3
Real estate activities 1 212 2,8 7 059 1,4
Scientific and technical activities; administrative and support services 7 153 16,7 67 681 13,6
General government, education, human healthcare and social action 5 159 12,1 190 479 38,4
Other service activities 3 904 9,1 17 563 3,5
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 38 486 100,0
Employers of childminders 11 166 29,0
Employers of other employees 27 320 71,0
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

Employment area 2020 of Marseille (9312)

DEN T1 - Business set-ups by sector of activity in 2021

DEN T1 - Business set-ups by sector of activity in 2021
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 28 246 100,0 20 870 73,9
Industry 942 3,3 672 71,3
Construction 2 716 9,6 1 633 60,1
Wholesale and retail trade/transports/accommodations and food service activities 10 385 36,8 8 024 77,3
Information/communication 1 168 4,1 854 73,1
Finance and insurance activities 673 2,4 97 14,4
Real estate activities 1 029 3,6 391 38,0
Professional/scientific/technical activites/administrative and support service activities 6 060 21,5 4 548 75,0
Public administration/education/healthcare/social work 2 661 9,4 2 335 87,7
Other service activities 2 612 9,2 2 316 88,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 13 448 12 785 12 583 12 155 12 471 13 674 16 917 20 178 20 927 28 246
Sole proprietorship 9 296 8 623 8 235 7 802 7 705 8 496 11 556 14 436 15 144 20 870
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T3 - Number of legal units by economic sector on the 31st of December 2020

DEN T3 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 131 432 100,0
Industry 6 147 4,7
Construction 16 379 12,5
Wholesale and retail trade/transports/accommodations and food service activities 38 792 29,5
Information/communication 4 568 3,5
Finance and insurance activities 4 315 3,3
Real estate activities 6 167 4,7
Professional/scientific/technical activites/administrative and support service activities 24 781 18,9
Public administration/education/human health/social work 20 661 15,7
Other service activities 9 622 7,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T4 - Business set-ups by economic sectors in 2021

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 31 119 100,0
Industry 1 084 3,5
Construction 2 852 9,2
Wholesale and retail trade/transports/accommodations and food service activities 11 464 36,8
Information/communication 1 303 4,2
Finance and insurance activities 749 2,4
Real estate activities 1 210 3,9
Professional/scientific/technical activites/administrative and support service activities 6 541 21,0
Public administration/education/healthcare/social work 3 106 10,0
Other service activities by the number of business creations including free lancers 2 810 9,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 15 455 14 239 14 178 13 679 14 050 15 537 19 048 22 246 23 105 31 119
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T5 - Number of legal units by economic sector on the 31st of December 2020

DEN T5 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 145 520 100,0
Industry 7 301 5,0
Construction 16 878 11,6
Wholesale and retail trade/transports/accommodations and food service activities 44 327 30,5
Information/communication 4 960 3,4
Finance and insurance activities 5 182 3,6
Real estate activities 7 119 4,9
Professional/scientific/technical activites/administrative and support service activities 26 948 18,5
Public administration/education/human health/social work 22 684 15,6
Other service activities 10 121 7,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Employment area 2020 of Marseille (9312)

TOU T1 - Number and capacity of hotels on the 1st of January 2023

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 183 10 559
1 star 4 148
2 stars 41 2 184
3 stars 66 3 713
4 stars 27 2 887
5 stars 5 409
Non-ranked 40 1 218
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T2 - Number and capacity of campsites on the 1st of January 2023

TOU T2 - Number and capacity of campsites on the 1st of January 2023
Campsites Pitch
Altogether 16 2 951
1 star 2 139
2 stars 5 557
3 stars 4 970
4 stars 3 1 161
5 stars 0 0
Non-ranked 2 124
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 45 9 735
Tourist accommodations 35 7 528
Holiday villages or private homes 4 1 602
Youth hostels 6 605
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2022.

Définitions

Declarative judgments of birth: Any birth occurring on French territory must be the subject of a declaration to the Civil register within three days of giving birth, giving rise to an act. If this declaration has not been made within this legal period, it is the subject of a declaration of birth giving rise to a transcription in the civil status registers.

Declarations of death: When death is insured but the body could not be found (plane crash, disappearance at sea ...), a declaratory judgment of death is drawn up which results in transcription on the civil status registers.

Tax household: Household made up of the grouping of tax households listed in the same dwelling. Its existence in a given year is due to the fact that at least an independent declaration of income coincides with the occupation of a dwelling known to the Housing Tax. Households made up of people who do not have their fiscal independence (mainly students) are counted in households where they declare their income even if they occupy independent accommodation.

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

Market activity: The activity of a company is qualified as market if its operating expenses are normally covered for more than 50 % through the sale of its production. The activity of an establishment is market if this establishment contributes essentially to the production of a good or service considered to be market, either by nature or because its selling price exceeds 50 % of its production costs.

Public domain: An establishment belongs to this area if it is part of a legal category 7 enterprise (legal person or body subject to administrative law) or if more than half of its workforce is part of the State civil service.

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

Champ

Population censuses

The data are offered to users in particular for comparing municipalities, grouping variable categories or obtaining results on personalized sets of municipalities.

Derived from calculations linked to sampling techniques, the data in terms of numbers are provided with several decimal places; these must be used for all calculations carried out, in order to avoid rounding errors.

For more information on the population census, consult the page of presentation of the population census.

The data come either from the main farm (princ.) or from the complementary farm (compl).

For more methodological information, you can consult the sheets "Tips on using census results".

These sheets present the characteristics of the population census and deal with their consequences on the use of the data. They specify in particular the changes affecting the main statistical variables and their comparability with previous censuses.

Civil register

Annual statistics concerning domiciled births are drawn up from the statistical bulletins of civil status, drawn up by the mayors, at the time and in the municipality where the births take place. They relate to births having taken place in all the municipalities of France. Births that took place abroad or in the overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the mother's domicile in France.

The statistics include declarative judgments of birth, but do not take into account stillbirths.

Annual statistics concerning domiciled deaths are drawn up from civil status statistics bulletins drawn up by the mayors, at the time and in the municipality where the deaths took place. They relate to deaths that have occurred in all municipalities in France. Deaths having occurred abroad or in overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the deceased's domicile in France.

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

The scope covered is that of all ordinary tax households: it excludes people who are homeless or living in institutions (prison, home, retirement home, etc.).

The share of taxed households is calculated on the basis of households whose declared income is positive or zero.

Other indicators are calculated on the basis of households with positive or zero disposable income.

Municipalities without inhabitant or without inhabitant subject to the housing tax are not in the list of municipalities.

All employees databases

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units and the creation of businesses and establishments of all non-agricultural market activities. This field includes financial activities.

When a company has several establishments, it is located at its head office.

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

The number of business or establishment creations corresponds to the number of businesses or establishments created during year N.

Pay and salaried employment localized file (Flores)

The Flores system (Pay and salaried employment localized file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments which ceased their activity during the year.

The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.

Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.

The Flores device succeeds Clap, whose last vintage described the year 2015. The results from Flores and Clap are not comparable, and therefore should not be the subject of evolving comparative analyzes.

Specifically:

-Clap covered all active establishments, employers and non-employers. The number of establishments with zero staff at the end of the year was therefore much higher in Clap, because of this difference in field.

- Conversely, Clap only counted so-called non-ancillary jobs, that is to say those exceeding a certain threshold of remuneration and / or duration. This restriction has been removed in Flores, which counts all workstations.

Hotel occupancy survey

The scope covers tourist hotels, classified or not, with more than 5 bedrooms and campsites with more than 10 pitches, classified or not, including residential campsites. It also covers other collective tourist accommodation.

Statistics on the accommodation offer are established in conjunction with the regional tourism committees (CRT) and the general management of enterprises (DGE). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel business relate to the campsites offering sites for transient customers intended for tourists who do not choose to live there as well. only on campsites offering pitches rented year-round, that is to say to a single customer for the entire period when the campsite is open.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France. The distribution by star is not available for the 2013 vintage for hotels, because the classification being paid, the distribution by star was not significant.

The information on other collective accommodation in the overseas departments is of lower quality. Since 2018, the field concerning other collective accommodation in the overseas departments has been deleted. The workforce from other collective accommodation has been transferred to hotels.

Géographie

Population censuses 2008, 2013, 2019: dissemination in the municipalities of France outside Mayotte in geography on 01/01/2022;

Vital statistics: distribution to all municipalities in France in geography as of 01/01/2022;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2022;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2022;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2022;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2022

Release threshold for the population census

The population census makes it possible to know the diversity and evolution of the population of France. Insee thus provides statistics on inhabitants and dwellings, their number and their characteristics: distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc.

Data from additional census holdings are not disseminated for areas less than 2 000 inhabitants. In addition, numbers below 200 should be handled with care, as it cannot be significant.

Particularity of Civil register data

The data, for the municipalities of Paris (75056), Lyon (69123) and Marseille (13055), are presented for the entire municipality and for each municipal district.

For these municipalities, the municipal district of the domicile is not systematically informed about the statistical bulletin. Births are therefore only counted in the database at the level of the municipality and not of the municipal district. The sum of births in the arrondissements of Lyon (Marseille and Paris respectively) is therefore not always equal to the number of births in the municipality of Lyon (Marseille and Paris respectively).

Dissemination threshold and statistical confidentiality of the Localized Social and Fiscal File (FiLoSoFi)

Data from FiLoSoFi are subject to statistical confidentiality. No statistics are disseminated on very small areas (less than 50 households and less than 100 people).

Three indicators (median standard of living, counts in number of households and number of people) are proposed for areas with more than 50 households or more than 100 people.

In the largest areas (more than 1,000 households or more than 2 000 people), all indicators are generally offered. They are also disseminated on the sub-populations associated with a socio-demographic criterion (for example under 30 years) having a minimum number of at least 200 people and at least 11 households.

Poverty rates are disseminated for areas with more than 1,000 households or more than 2 000 ppeople in which there are at least 200 people and 11 poor households, as well as at least 200 people and 11 households above the poverty line.

They are distributed to sub-populations associated with a socio-demographic criterion (for example under 30s) with a minimum workforce of at least 200 people. and at least 11 poor households and at least 200 people and at least 11 households above the poverty line.

When the rates are in the ranges [0; 5] and [95; 100], the exact value is not displayed, it is replaced by the values ​​5 % and 95 % respectively.

The components of disposable income are disseminated over areas over 1 000 households or more than 2 000 people, provided that for each of the income components there are at least 11 households for which the component is non-zero.

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

Warning on the nature of municipal data and their use for the localized file of remunerations and salaried employment (Flores)

INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should focus on areas "of sufficient size" (several thousand salaried positions), in order to limit errors that could be due to occasional erroneous declarations by certain establishments.

Status of municipal data from Flores differs in particular from that of Employment Estimates, which are subject to full validation by experts and which are disseminated at a more aggregate level (department and employment area at the finest). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.