données locales

Paru le : 02/09/2025

Full set of local data Municipality of Cannes (06029)

Detailed figures
Paru le :Paru le02/09/2025
- September 2025

The data presented are disseminated according to the 2025 geography.

For statistical confidentiality reasons, some indicators may not be provided.

Growth and structure of the population in 2022

Municipality of Cannes (06029)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 72 607 100,0 74 152 100,0 74 040 100,0
0 to 14 years old 10 166 14,0 10 315 13,9 9 996 13,5
15 to 29 years old 10 791 14,9 10 835 14,6 10 684 14,4
30 to 44 years old 12 812 17,6 12 318 16,6 11 679 15,8
45 to 59 years old 13 614 18,8 14 023 18,9 14 557 19,7
60 to 74 years old 13 206 18,2 13 728 18,5 14 315 19,3
75 and over 12 019 16,6 12 932 17,4 12 810 17,3
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2011 2016 2022
0 to 14 years old 14,0 13,9 13,5
15 to 29 years old 14,9 14,6 14,4
30 to 44 years old 17,6 16,6 15,8
45 to 59 years old 18,8 18,9 19,7
60 to 74 years old 18,2 18,5 19,3
75 and over 16,6 17,4 17,3
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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)
Population and average density 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Population 67 187 70 527 72 259 68 676 67 304 70 610 72 607 74 152 74 040
Average density (inhab / km²) 3 424,4 3 594,6 3 682,9 3 500,3 3 430,4 3 598,9 3 700,7 3 779,4 3 773,7
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % 0,7 0,3 –0,6 –0,2 0,7 0,6 0,4 –0,0
due to the natural balance in % –0,3 –0,6 –0,7 –0,6 –0,5 –0,3 –0,3 –0,4
due to the apparent balance of inflows and outflows in % 1,0 1,0 0,0 0,4 1,2 0,8 0,7 0,4
Natality rate (‰) 11,4 9,8 10,0 10,9 11,1 11,7 11,0 10,5
Mortality rate (‰) 14,7 16,0 16,8 16,7 16,2 14,4 14,2 14,6
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 33 814 100,0 40 226 100,0
0 to 14 years old 5 121 15,1 4 875 12,1
15 to 29 years old 5 267 15,6 5 417 13,5
30 to 44 years old 5 546 16,4 6 133 15,2
45 to 59 years old 6 713 19,9 7 844 19,5
60 to 74 years old 6 270 18,5 8 045 20,0
75 to 89 years old 4 307 12,7 6 405 15,9
90 years and over 591 1,7 1 507 3,7
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T3bis - Population by age and sex in 2022

POP T3bis - Population by age and sex in 2022
Age Male % Female %
Ensemble 33 814 100,0 40 226 100,0
0 to 19 years old 7 204 21,3 6 863 17,1
20 to 64 years old 17 518 51,8 19 909 49,5
65 and over 9 092 26,9 13 455 33,4
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2011 % 2016 % 2022 %
People one year old and over, previously living 71 883 100,0 73 512 100,0 73 466 100,0
In the same house 63 375 88,2 66 084 89,9 66 802 90,9
In another house in the same town 3 519 4,9 3 685 5,0 2 971 4,0
In another town 4 989 6,9 3 743 5,1 3 692 5,0
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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 46,7 53,3
15 to 24 years old 40,3 59,7
25 to 54 years old 47,8 52,2
55 years old and over 39,5 60,5
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T5 - Population aged 15 years and over by current or previous socio-professional group

POP T5 - Population aged 15 years and over by current or previous socio-professional group
Socioprofessional group 2011 % 2016 % 2022 %
Altogether 62 471 100,0 63 837 100,0 64 111 100,0
Farmer operators 59 0,1 46 0,1 6 0,0
Craftsmen, traders, business leaders 2 840 4,5 3 057 4,8 3 306 5,2
Managers and higher intellectual professions 3 654 5,8 3 818 6,0 4 667 7,3
Middle-level occupations 6 467 10,4 6 573 10,3 6 513 10,2
Services employee 11 644 18,6 11 746 18,4 11 043 17,2
Blue-collar workers 5 895 9,4 5 367 8,4 5 523 8,6
Retirees 22 041 35,3 22 302 34,9 22 665 35,4
Other people with no professional activity 9 871 15,8 10 926 17,1 10 389 16,2
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 28 625 35 486 100,0 100,0 100,0
Farmer operators 6 0 0,0 0,0 0,0
Craftsmen, traders, business leaders 2 237 1 069 1,1 8,9 3,2
Managers and higher intellectual professions 2 659 2 008 1,5 13,2 4,1
Middle-level occupations 2 958 3 555 7,4 18,8 4,1
Services employee 3 246 7 797 18,3 29,6 7,5
Blue-collar workers 4 473 1 050 9,0 15,3 3,4
Retirees 9 250 13 415 0,0 0,2 70,4
Other people with no professional activity 3 795 6 593 62,6 14,0 7,4
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Municipality of Cannes (06029)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 37 420 100,0 38 011 100,0 38 464 100,0 71 004 71 907 71 994
One-person households (male and female) 17 490 46,7 18 061 47,5 18 566 48,3 17 490 18 061 18 566
 Single Male 6 599 17,6 6 631 17,4 7 113 18,5 6 599 6 631 7 113
 Single Female 10 891 29,1 11 430 30,1 11 453 29,8 10 891 11 430 11 453
Other households without families 1 137 3,0 891 2,3 571 1,5 2 488 2 041 1 192
Family households : 18 793 50,2 19 059 50,1 19 327 50,2 51 027 51 805 52 236
 Couple without children 8 923 23,8 8 733 23,0 8 834 23,0 18 184 17 745 17 974
 Couple with children 6 251 16,7 6 256 16,5 6 095 15,8 23 734 23 871 23 249
 Single parent 3 619 9,7 4 070 10,7 4 397 11,4 9 108 10 189 11 013
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Average number of occupants per main residence 2,51 2,30 2,16 2,02 1,94 1,92 1,90 1,89 1,88
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G1 - Growth estimates of 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 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2011 2016 2022
15 to 19 years old 4,0 4,4 4,9
20 to 24 years old 16,2 16,4 19,2
25 to 39 years old 19,4 20,0 20,6
40 to 54 years old 21,7 21,7 21,3
55 to 64 years old 31,0 30,8 32,7
65 to 79 years old 38,5 39,1 38,1
80 and above 56,2 54,4 54,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

FAM G3 - People aged 15 and over reporting living as a couple
2011 2016 2022
15 to 19 years old 2,8 2,1 1,5
20 to 24 years old 24,5 17,9 15,8
25 to 39 years old 62,3 57,9 58,4
40 to 54 years old 58,8 58,2 60,1
55 to 64 years old 60,3 57,6 55,2
65 to 79 years old 55,0 55,8 57,3
80 and above 35,1 39,0 38,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

FAM G4 - Marital status of the population aged 15 years or over in 2022
%
Married 38,1
Civil partnership 3,5
In cohabitation 9,2
Widowed 9,4
Divorced 10,4
Single 29,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM T2 - Households by socioprofessionnal group of the reference person in 2022

FAM T2 - Households by socioprofessionnal group of the reference person in 2022
Socioprofessional group Number of households % Household population %
Altogether 38 464 100,0 71 994 100,0
including farmer operators 5 0,0 20 0,0
including craftsmen, traders, business leaders 2 452 6,4 5 809 8,1
including managers and higher intellectual professions 3 412 8,9 6 899 9,6
including intermediate professions 4 344 11,3 9 066 12,6
including employees 6 958 18,1 15 049 20,9
including workers 3 920 10,2 10 122 14,1
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 0,0
Handicrafters, traders, business leaders 6,4
Managers and higher intellectual professions 8,9
Intermediate professions 11,3
Employees 18,1
Workers 10,2
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 18 902 100,0 19 175 100,0 19 542 100,0
Couple with children 6 257 33,1 6 256 32,6 6 108 31,3
Single parent 3 693 19,5 4 170 21,7 4 519 23,1
 Male single parent 429 2,3 545 2,8 702 3,6
 Female single parent 3 264 17,3 3 625 18,9 3 817 19,5
Couple without children 8 953 47,4 8 748 45,6 8 915 45,6
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM T3bis - Detailed composition of families composed of couples with child(ren)

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2022 %
Altogether 6 108 100,0
Traditional family 5 252 86,0
Blended family 856 14,0
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 18 902 100,0 19 175 100,0 19 542 100,0
Without any 10 002 52,9 10 126 52,8 10 563 54,1
1 child 4 551 24,1 4 673 24,4 4 568 23,4
2 children 3 083 16,3 3 054 15,9 3 116 15,9
3 children 961 5,1 1 000 5,2 986 5,0
4 children or above 306 1,6 321 1,7 309 1,6
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Municipality of Cannes (06029)

LOG T1 - Growth estimates of the number of housings by category since 1968

LOG T1 - Growth estimates of the number of housings by category since 1968
Housing category 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Altogether 39 892 48 510 54 356 58 255 63 503 67 105 70 362 71 284 72 789
Principal residences 25 923 29 861 32 640 33 159 33 597 35 855 37 418 38 017 38 322
Second dwellings and occasional dwellings 7 868 12 907 17 355 20 047 23 560 25 673 28 443 31 010 32 393
Vacant accommodations 6 101 5 742 4 361 5 049 6 346 5 577 4 501 2 257 2 073
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.

LOG T1bis - Categories of housings

LOG T1bis - Categories of housings
Category of housing 2011 2016 2022
Principal residences 53,2 53,3 52,6
Second dwellings and occasional dwellings 40,4 43,5 44,5
Vacant dwellings 6,4 3,2 2,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T2 - Types of housings

LOG T2 - Types of housings
Type of housing 2011 % 2016 % 2022 %
Altogether 70 362 100,0 71 284 100,0 72 789 100,0
Houses 6 092 8,7 5 230 7,3 4 883 6,7
Flats 63 547 90,3 65 759 92,2 67 491 92,7
Others 723 1,0 295 0,4 414 0,6
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T2bis - Contributions to the change in the number of principal residences

LOG T2bis - Contributions to the change in the number of principal residences
Contributions 2011-2016 % 2016-2022 %
Total change 599 0,9 305 0,4
due to the household size effect 112 0,2 257 0,4
due to the demographic effect 487 0,7 48 0,1
  • Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
Number of rooms 2011 % 2016 % 2022 %
Altogether 37 418 100,0 38 017 100,0 38 322 100,0
1 room 4 849 13,0 4 778 12,6 4 461 11,6
2 rooms 10 758 28,8 10 683 28,1 11 098 29,0
3 rooms 13 147 35,1 13 566 35,7 13 984 36,5
4 rooms 6 225 16,6 6 514 17,1 6 115 16,0
5 rooms or above 2 438 6,5 2 477 6,5 2 665 7,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 2,8 2,8 2,8
House 4,0 4,1 4,3
Flat 2,7 2,7 2,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4bis - Dwelling occupancy index

LOG T4bis - Dwelling occupancy index
Occupancy index 2011 2016 2022
Standard occupancy 36,0 36,6 38,0
Moderate over-occupation 20,0 19,1 18,3
Severe over-occupation 2,4 2,1 2,1
Moderate under-occupation 27,5 28,2 27,4
Severe under-occupation 10,0 10,0 9,7
Very severe under-occupation 4,1 3,9 4,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 38 218 100,0
Before 1919 2 527 6,6
From 1919 to 1945 3 206 8,4
From 1946 to 1970 12 871 33,7
From 1971 to 1990 12 200 31,9
From 1991 to 2005 4 737 12,4
From 2006 to 2019 2 678 7,0
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

LOG G1 - Principal residences in 2022 by completion period and housing category
House Flat
Before 1919 359 2 147
From 1919 to 1945 805 2 385
From 1946 to 1970 1 117 11 575
From 1971 to 1990 581 11 544
From 1991 to 2005 315 4 394
From 2006 to 2018 208 2 467
  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T6 - Length of residence in the main residences in 2022

LOG T6 - Length of residence in the main residences in 2022
Length of residence Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 38 322 100,0 72 000 2,8 1,5
Less than 2 years ago 4 307 11,2 7 902 2,4 1,3
From 2 to 4 years ago 8 419 22,0 16 349 2,6 1,3
From 5 to 9 years ago 7 627 19,9 15 620 2,7 1,3
10 years ago or above 17 969 46,9 32 128 3,1 1,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

LOG G2 - Length of residence of households in 2022
Share of households in%
Less than 2 years ago 11,2
From 2 to 4 years ago 22,0
From 5 to 9 years ago 19,9
From 10 to 19 years ago 21,2
From 20 to 29 years ago 12,5
30 years ago or above 13,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T7 - Principal residences by housing tenure

LOG T7 - Principal residences by housing tenure
2011 2016 2022
Housing tenure Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 37 418 100,0 38 017 100,0 38 322 100,0 72 000 13,7
Homeowner 17 022 45,5 17 456 45,9 18 119 47,3 32 397 17,0
Tenant 18 585 49,7 19 192 50,5 18 987 49,5 37 595 10,6
including public tenants 5 166 13,8 6 386 16,8 6 334 16,5 14 870 16,2
Housed for free 1 811 4,8 1 368 3,6 1 216 3,2 2 008 13,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T8M - Comfort of principal residences: primary heating fuel

LOG T8M - Comfort of principal residences: primary heating fuel
Fuel 2011 % 2016 % 2022 %
Town gas - district heating network 17 927 47,9 17 565 46,2 16 675 43,5
Fuel oil 3 653 9,8 3 030 8,0 2 617 6,8
Electricity 14 818 39,6 16 202 42,6 17 962 46,9
Bottled or tank gas 260 0,7 159 0,4 102 0,3
Other (wood, solar, geothermal, etc.) 759 2,0 1 061 2,8 966 2,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9 - Household automotive equipment

LOG T9 - Household automotive equipment
Equipment 2011 % 2016 % 2022 %
At least one car 26 244 70,1 27 204 71,6 27 508 71,8
 1 car 20 527 54,9 21 366 56,2 21 221 55,4
 2 cars or above 5 717 15,3 5 838 15,4 6 286 16,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9bis - Parking space reserved for personal use

LOG T9bis - Parking space reserved for personal use
Parking space 2011 % 2016 % 2022 %
All principal residences 37 418 100,0 38 017 100,0 38 322 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 21 183 56,6 22 452 59,1 23 451 61,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Municipality of Cannes (06029)

FOR T1 - Schooling by age and sex in 2022

FOR T1 - Schooling by age and sex in 2022
Age Total Scholarized population Scholarized population in %
Altogether Male Female
2 to 5 years old 2 516 1 867 74,2 75,0 73,2
6 to 10 years old 3 390 3 307 97,6 96,9 98,2
11 to 14 years old 3 001 2 936 97,8 97,4 98,3
15 to 17 years old 2 319 2 156 93,0 93,7 92,3
18 to 24 years old 4 919 2 391 48,6 44,4 53,0
25 to 29 years old 3 446 246 7,1 6,6 7,6
30 years old or above 53 360 487 0,9 0,9 0,9
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 71,5 71,1 74,2
6 to 10 years old 98,7 97,3 97,6
11 to 14 years old 99,1 98,3 97,8
15 to 17 years old 94,5 94,7 93,0
18 to 24 years old 44,7 47,9 48,6
25 to 29 years old 5,5 5,9 7,1
30 years old or above 0,8 0,9 0,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR G1 - Schooling rate by age (in %)

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022
Altogether Male Female
Proportion of unschooled aged 15 years or above 58 764 26 172 32 592
Proportion of graduates in percentage
No diploma or primary education certificate 21,4 21,3 21,4
BEPC brevet des collèges or DNB 7,2 6,2 8,0
CAP, BEP or equivalent 19,7 22,3 17,6
Baccalauréat, brevet professionnel or equivalent 20,5 18,8 21,9
2 years at university 9,8 8,6 10,8
3 to 4 years at university 10,0 8,6 11,1
5 years or more at university 11,4 14,2 9,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
2011 2022
No diploma or primary education certificate 30,8 21,4
BEPC brevet des collèges or DNB 8,5 7,2
CAP, BEP or equivalent 19,5 19,7
Baccalauréat, brevet professionnel or equivalent 18,9 20,5
2 years or more at university 22,3 31,2
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

Active population, employment and unemployment within the meaning of the census in 2022

Municipality of Cannes (06029)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2011 2016 2022
Altogether 41 770 41 770 41 497
Working age adult in % 72,2 72,9 73,5
 Working age adults with a job in % 60,8 59,5 62,1
 Unemployed workers in % 11,4 13,4 11,3
Economically inactive people in % 27,8 27,1 26,5
 Pupils, students or interns in % 8,7 9,2 9,4
 Retirees in % 7,7 5,9 5,0
 Other economically inactive people in % 11,4 12,1 12,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 41 497 30 480 73,5 25 784 62,1
 15 to 24 years old 7 238 2 958 40,9 2 137 29,5
 25 to 54 years old 24 845 21 638 87,1 18 505 74,5
 55 to 64 years old 9 414 5 885 62,5 5 142 54,6
Male 19 601 15 221 77,7 13 032 66,5
 15 to 24 years old 3 687 1 583 42,9 1 120 30,4
 25 to 54 years old 11 613 10 716 92,3 9 303 80,1
 55 to 64 years old 4 300 2 922 68,0 2 609 60,7
Female 21 896 15 259 69,7 12 752 58,2
 15 to 24 years old 3 551 1 375 38,7 1 017 28,7
 25 to 54 years old 13 231 10 922 82,5 9 203 69,6
 55 to 64 years old 5 114 2 963 57,9 2 532 49,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 62,1
Unemployed workers 11,3
Retirees 5,0
Pupils, students or interns 9,4
Other economically inactive people 12,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 30 174 25 418 30 418 24 819 30 236 25 786
including farmer operators 50 50 38 38 6 6
including handicrafters, traders and business leaders 2 661 2 380 2 891 2 652 3 009 2 872
including managers and higher intellectual professions 3 559 3 363 3 696 3 491 4 384 4 060
including intermediate professions 6 346 5 521 6 480 5 465 6 319 5 555
including employees 11 444 9 497 11 549 9 075 10 683 8 784
including workers 5 823 4 608 5 283 4 098 5 395 4 510
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2011 2016 2022
Number of unemployed workers 4 748 5 596 4 696
Unemployment rate in % 15,8 18,4 15,4
Unemployment of the 15-24 aged 32,3 34,2 27,7
Unemployment of the 25-54 aged 13,5 16,9 14,5
Unemployment of the 55-64 aged 14,8 15,3 12,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 22,0
BEPC brevet des collèges or DNB 19,7
CAP, BEP or equivalent 15,1
Baccalauréat, brevet professionnel or equivalent 16,5
2 years at university 12,7
3 to 4 years at university 12,7
5 years or more at university 10,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 39 040 38 026 38 834
Working age adult living in the area 26 046 25 472 26 891
Occupational concentration by industry 149,9 149,3 144,4
employment rate of 15 years old or above in % 49,3 48,7 49,4
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations holdings, place of residence and place of work, geography as of 01/01/2025.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2011 % 2016 % 2022 %
Altogether 39 040 100,0 38 026 100,0 38 834 100,0
Employee 32 993 84,5 31 719 83,4 31 340 80,7
 including women 16 838 43,1 16 411 43,2 16 605 42,8
 including part time jobs 5 648 14,5 5 346 14,1 4 670 12,0
Non-employee 6 047 15,5 6 307 16,6 7 494 19,3
 including women 2 229 5,7 2 341 6,2 3 023 7,8
 including part time jobs 722 1,9 801 2,1 1 143 2,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 38 961 100,0
Farmer operators 6 0,0
Handicrafters, traders, business leaders 4 497 11,5
Managers and higher intellectual professions 7 118 18,3
Intermediate professions 9 559 24,5
Employees 12 496 32,1
Workers 5 285 13,6
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 0,1 0,1 0,0
Handicrafters, traders, business leaders 9,4 10,5 11,5
Managers and higher intellectual professions 16,0 17,2 18,3
Intermediate professions 24,0 24,1 24,5
Employees 35,4 35,0 32,1
Workers 15,1 13,2 13,6
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 38 794 100,0 37 756 100,0 38 961 100,0 50,7 81,9
Agriculture 93 0,2 70 0,2 96 0,2 44,7 90,5
Industry 1 937 5,0 1 684 4,5 1 820 4,7 33,6 88,0
Construction 1 947 5,0 1 922 5,1 2 334 6,0 11,5 59,7
Wholesale and retail trade/transports/accommodations and food service activities 24 078 62,1 23 042 61,0 23 303 59,8 47,1 79,7
Public administration/education/human health/social work 10 739 27,7 11 038 29,2 11 408 29,3 68,8 90,1
  • Sources : Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022
Employees Non-employees
Agriculture 44,8 44,1
Industry 32,7 39,7
Construction 15,8 5,1
Wholesale and retail trade, transports, accommodations and food service activities 48,9 39,8
Public administration, education, human health, social work 70,0 57,3
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

Characteristics of employment in the sense of the census in 2022

Municipality of Cannes (06029)

ACT T1 - Population aged 15 years or over having a job by status in 2022

ACT T1 - Population aged 15 years or over having a job by status in 2022
Employment status Number % of which % part-time of which % women
Altogether 26 884 100,0 15,0 49,3
Employees 21 598 80,3 15,0 51,2
Non-employees 5 286 19,7 14,9 41,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022
Employment status and conditions Male % Female %
Altogether 13 633 100 13 252 100
Employees 10 549 77,4 11 049 83,4
 Tenured personnel and open-ended employment contracts 8 802 64,6 9 206 69,5
 Fixed-term employment contracts 1 226 9,0 1 394 10,5
 Temporary employment 242 1,8 99 0,7
 Assisted jobs 25 0,2 33 0,2
 Apprentice ship contract - Traineeship 254 1,9 317 2,4
Non-employees 3 084 22,6 2 203 16,6
 Independents 1 972 14,5 1 614 12,2
 Employers 1 097 8,0 562 4,2
 Caregivers 14 0,1 27 0,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022
Age Male of which% part-time Female of which% part-time
Altogether 10 252 7,2 10 704 21,1
15 to 24 years old 1 034 19,0 953 33,1
25 to 54 years old 7 309 5,3 7 722 19,0
55 to 64 years old 1 908 8,1 2 028 23,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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
2011 2016 2022
Male 8,6 9,7 7,8
Female 25,8 24,5 21,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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
Work Area 2011 % 2016 % 2022 %
Altogether 26 033 100 25 468 100 26 884 100
Working in their residential zone 16 595 63,7 16 564 65,0 17 034 63,4
Working in another zone 9 438 36,3 8 904 35,0 9 850 36,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

ACT G2 - Proportion of transports used to go to work in 2022
Percentage
None 5,6
Walking 13,4
Bicycle 2,7
Motorized two-wheeled vehicles 7,3
Car or truck 56,1
Public transports 14,9
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

Births and Deaths of people with usual residence in the area, 2015-2024

Municipality of Cannes (06029)

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
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Domiciled deaths 1 075 1 074 1 033 1 075 1 093 1 052 1 171 1 171 1 155 1 061
Domiciled births 791 793 794 787 829 770 704 721 674 689
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2025.

Household income and poverty in 2021

Municipality of Cannes (06029)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 39 423
Number of people in tax households 73 691
Median disposable income (per consumption unit in euros) 21 210
Share of actually taxed tax households (in %) 50
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Less than 30 years old 25
30 to 39 years old 24
40 to 49 years old 27
50 to 59 years old 22
60 to 74 years old 19
75 and over 14
Altogether 21
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Homeowner 12
Tenant 29
Altogether 21
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income Share in %
Work income 60,1
   Wages 50,4
   Unemployment pensions 4,0
   Self-employed income 5,7
Retirement pension or annuity 36,3
Capital income (real estate, financial, others) 17,0
Social benefits 5,5
   Child benefit 1,4
   Income support 2,9
   Housing benefit 1,2
Tax –18,9
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 21 210
Inter-decile ratio 4,0
1st decile (in euros) 10 500
9th decile (in euros) 42 160
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2023

Municipality of Cannes (06029)

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023
Altogether Female Male
Altogether 2 636 2 413 2 837
Managerial staff* 4 411 4 016 4 635
Intermediate professions 2 713 2 576 2 856
Employees 2 056 2 025 2 104
Workers 2 082 1 799 2 143
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023
Pay gap (%)
Altogether –14,9
Managerial staff* –13,4
Intermediate professions –9,8
Employees –3,8
Workers –16,0
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023
Age Altogether Female Male
Less than 25 years old 1 838 1 810 1 866
25 to 39 years old 2 376 2 284 2 461
40 to 49 years old 2 806 2 543 3 037
50 to 54 years old 2 956 2 674 3 212
55 years old or older 3 077 2 640 3 450
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023
Pay gap (%)
Less than 25 years old –3,0
25 to 39 years old –7,2
40 to 49 years old –16,3
50 to 54 years old –16,8
55 years old or older –23,5
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

Establishment characteristics at the end of 2023

Municipality of Cannes (06029)

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 4 759 100,0 607 3 562 320 189 81
Agriculture, forestry and fishing 10 0,2 3 6 0 1 0
Industrial economy 155 3,3 18 116 15 5 1
Building industry 330 6,9 57 251 20 2 0
Trade, transport, various services 3 850 80,9 497 2 932 238 136 47
General government, education, healthcare, social action 414 8,7 32 257 47 45 33
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 employees and more
Altogether 35 516 100,0 9 822 4 294 5 674 3 647 12 079
Agriculture, forestry and fishing 64 0,2 20 0 44 0 0
Industrial economy 2 618 7,4 355 203 116 0 1 944
Building industry 934 2,6 624 258 52 0 0
Trade, transport, various services 20 961 59,0 8 161 3 207 4 057 2 275 3 261
General government, education, healthcare, social action 10 939 30,8 662 626 1 405 1 372 6 874
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
%
General government, education, healthcare, social action 8,7
Trade, transport, various services 80,9
Building industry 6,9
Industrial economy 3,3
Agriculture, forestry and fishing 0,2
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

RES G2 - Distribution of establishments by workforce size at the end of 2023
%
50 or more employees 1,7
20 to 49 employees 4,0
10 to 19 employees 6,7
1 to 9 employees 74,8
0 employee 12,8
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T3 - Establishments according to the spheres of the economy at the end of 2023

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 4 759 100,0 35 516 100,0
Productive sphere 1 132 23,8 7 511 21,1
of which public domain 3 0,1 38 0,1
Presential sphere 3 627 76,2 28 005 78,9
of which public domain 74 1,6 7 719 21,7
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 3 418 100,0
Employers of childminders 327 9,6
Employers of other employees 3 091 90,4
  • Scope: private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

Business and establishment set-ups in 2024

Municipality of Cannes (06029)

DEN T1 - Business set-ups by sector of activity in 2024

DEN T1 - Business set-ups by sector of activity in 2024
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 2 189 71,7 6,3 21,3 0,8
Industry 55 85,5 3,6 10,9 0,0
Construction 216 71,8 10,2 18,1 0,0
Wholesale and retail trade/transports/accommodations and food service activities 603 70,3 5,5 23,9 0,3
Information/communication 98 70,4 4,1 24,5 1,0
Finance and insurance activities 65 9,2 15,4 67,7 7,7
Real estate activities 153 43,8 8,5 44,4 3,3
Professional/scientific/technical activites/administrative and support service activities 578 76,3 5,9 17,1 0,7
Public administration/education/healthcare/social work 140 85,0 7,1 7,9 0,0
Other service activities 281 85,8 3,2 11,0 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 1 448 1 276 1 311 1 271 1 328 1 325 1 529 1 717 1 830 2 106 2 236 2 227 2 189
Sole proprietorship 970 849 864 807 807 837 1 064 1 224 1 335 1 490 1 524 1 592 1 569
SARL 367 268 240 176 190 152 153 135 134 132 147 131 137
SAS 92 138 194 263 309 317 286 331 333 466 520 476 466
Other societies 19 21 13 25 22 19 26 27 28 18 45 28 17
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T2 - Establishment set-ups by economic sectors in 2024

DEN T2 - Establishment set-ups by economic sectors in 2024
Sector of activity Altogether %
Altogether 2 612 100,0
Industry 67 2,6
Construction 219 8,4
Wholesale and retail trade/transports/accommodations and food service activities 769 29,4
Information/communication 102 3,9
Finance and insurance activities 74 2,8
Real estate activities 257 9,8
Professional/scientific/technical activites/administrative and support service activities 640 24,5
Public administration/education/healthcare/social work 168 6,4
Other service activities by the number of business creations including free lancers 316 12,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Establishment set-ups 1 696 1 476 1 476 1 404 1 494 1 483 1 725 1 933 2 025 2 393 2 503 2 464 2 612
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Number of legal entities and establishments in 2022

Municipality of Cannes (06029)

DEN T3 - Number of economically active legal units by economic sector in 2022

DEN T3 - Number of economically active legal units by economic sector in 2022
Sector of activity Number %
Altogether 11 453 100,0
Industry 363 3,2
Construction 998 8,7
Wholesale and retail trade/transports/accommodations and food service activities 3 014 26,3
Information/communication 282 2,5
Finance and insurance activities 563 4,9
Real estate activities 1 626 14,2
Professional/scientific/technical activites/administrative and support service activities 2 190 19,1
Public administration/education/human health/social work 1 313 11,5
Other service activities 1 104 9,6
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T4 - Number of economically active establishments by economic sector in 2022

DEN T4 - Number of economically active establishments by economic sector in 2022
Sector of activity Number %
Altogether 12 921 100,0
Industry 395 3,1
Construction 1 049 8,1
Wholesale and retail trade/transports/accommodations and food service activities 3 658 28,3
Information/communication 314 2,4
Finance and insurance activities 653 5,1
Real estate activities 1 723 13,3
Professional/scientific/technical activites/administrative and support service activities 2 516 19,5
Public administration/education/human health/social work 1 432 11,1
Other service activities 1 181 9,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Facilities and services for the population in 2024

Municipality of Cannes (06029)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 21
Grocery store, convenience store 87
Bakery and pastry shop 80
Service station 11
Electric vehicle charging station 26
Hair salon 208
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024
Healthcare professionals and pharmacies Number
General practitioner 115
Dentist 83
Physiotherapist 160
Nurse 174
Psychologist 39
Pharmacy 38
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T3 - Number of educationals institutions or libraries in 2024

EQUIP T3 - Number of educationals institutions or libraries in 2024
Educational or cultural institutions Number
Nursery and primary school 32
Middle school 7
General and/or technological upper secondary school 8
Vocational or agricultural upper secondary school 6
Library 5
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Municipality of Cannes (06029)

TOU T1 - Number and capacity of hotels on the 1st of January 2025

TOU T1 - Number and capacity of hotels on the 1st of January 2025
Number of stars Hotels Rooms
Altogether 95 5 399
1 star 1 47
2 stars 15 393
3 stars 30 868
4 stars 34 2 322
5 stars 7 1 565
Non-ranked 8 204
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T2 - Number and capacity of campsites on the 1st of January 2025

TOU T2 - Number and capacity of campsites on the 1st of January 2025
Number of stars Campsites Pitches
Altogether 1 223
1 star 0 0
2 stars 0 0
3 stars 1 223
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025
Type of accomodation Accommodation Number of bed places (1)
Altogether 15 2 711
Tourist accommodations 13 2 367
Holiday villages or private homes 1 124
Youth hostels or sports center 1 220
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

Voters in 2024

Municipality of Cannes (06029)

REU - Number of voters registered on the main electoral roll by election

REU - Number of voters registered on the main electoral roll by election
Municipal election 2020 Departmental and regional election 2021 Presidential election 2022 European election 2024
48 489 48 946 51 035 51 599
  • Note : The data on voters is extracted at the close of registration for the mentioned election.
  • Source : Insee, Unique electoral register.

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.

Wage in full-time equivalent (FTE) :

Wage in full-time equivalent (FTE) is a wage converted to a full-time throughout the full year, regardless of the actual workload. For an employee who has held a job for six months at 80% and has earned a total of 10 000 euros, the wage in FTE is 10 000 / (0.5 * 0.8) = 25 000 euros per year.

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.

Other definitions are accessible on insee.fr, as well as the concepts specific to the population census.

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 birthsare 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 deathsare 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 (BTS)

The scope corresponds to employees in the private sector, including beneficiaries of subsidised contracts and professionalisation contracts; excluding apprentices, trainees, agricultural employees and employees of private individuals.

Business Demography Information System (SIDE)

The indicators relate to the creation and inventory of businesses and establishments in all non-agricultural productive and market activities. This scope includes financial activities.

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

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

The number of companies or legal entities in year N corresponds to the number of economically active companies or legal entities in 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.

Permanent database of facilities

The permanent database of facilities (BPE) is a database intended for statistical purposes. It lists a wide range of facilities and services, whether commercial or not, that are accessible to the public throughout France as of January 1st each year.

The permanent database of facilities (BPE) is powered by different sources : sources used.

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.

Unique electoral register

The unique electoral register covers all french territories except New Caledonia.

The scope concerns voters registered on the main electoral list.

The main electoral lists, maintained by the municipalities, record french voters associated with them who are eligible to participate in elections governed by the provisions of the electoral code, as well as any other consultations based on these lists.

Géographie

Population censuses 2011, 2016, 2022: dissemination in the municipalities of France outside Mayotte in geography on 2025;

Vital statistics: distribution to all municipalities in France in geography as of 2025;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2025;

All employees databases (BTS), 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 01/01/2025;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2025;

Business Demography Information System (SIDE) - Business and establishment set-ups: distribution to all municipalities in France, in geography as of 01/01/2025;

Business Demography Information System (SIDE) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2024;

Permanent database of facilities: coverage across all municipalities in France, geography as of 01/01/2025. The data cover metropolitan France and the five overseas departments (DOM);

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2025

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.

Confidentiality and precautions of the All Employees databases (BTS)

Data from the All Employees databases are subject to statistical confidentiality.

No statistics are published for areas with fewer than 2,000 inhabitants.

In addition, each box in the table must contain at least 5 employees and no employee may represent more than 80% of the total payroll for the box. Similarly, in the case of workplace data, no box should relate to fewer than 3 establishments (or companies) and no establishment (or company) should account for more than 85% of the total payroll in the box.

As a result of these constraints, results from certain areas with more than 2,000 inhabitants were excluded from the distribution.

The salary data in the All employees database has not been assessed or validated at a geographical level finer than that of the départements. Beyond that level, the data must therefore be used with caution.

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.