données locales

Paru le : 21/02/2023

Full set of local data Employment area 2020 of Cannes (9304)

Detailed figures
Paru le : Paru le 21/02/2023
- February 2023

Growth and structure of the population in 2019

Employment area 2020 of Cannes (9304)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 428 638 100,0 433 539 100,0 434 029 100,0
0 to 14 years old 70 387 16,4 69 202 16,0 68 241 15,7
15 to 29 years old 66 320 15,5 67 451 15,6 62 757 14,5
30 to 44 years old 86 806 20,3 80 607 18,6 77 977 18,0
45 to 59 years old 85 093 19,9 87 261 20,1 89 463 20,6
60 to 74 years old 70 491 16,4 75 018 17,3 79 437 18,3
75 and over 49 542 11,6 53 999 12,5 56 155 12,9
  • 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 16,4 16,0 15,7
15 to 29 years old 15,5 15,6 14,5
30 to 44 years old 20,3 18,6 18,0
45 to 59 years old 19,9 20,1 20,6
60 to 74 years old 16,4 17,3 18,3
75 and over 11,6 12,5 12,9
  • 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 227 083 271 161 311 733 357 500 384 062 428 638 433 539 434 029
Average density (inhab / km²) 181,9 217,2 249,7 286,3 307,6 343,3 347,2 347,6
  • (*) 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 % 2,6 2,0 1,7 0,8 1,2 0,2 0,0
due to the natural balance in % –0,1 –0,2 –0,1 0,0 0,0 0,1 –0,0
due to the apparent balance of inflows and outflows in % 2,6 2,2 1,8 0,8 1,2 0,1 0,0
Natality rate (‰) 11,7 10,7 11,5 11,9 11,3 11,3 10,8
Mortality rate (‰) 12,4 12,6 12,4 11,7 10,8 10,2 11,0
  • 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 206 098 100,0 227 931 100,0
0 to 14 years old 34 891 16,9 33 350 14,6
15 to 29 years old 32 305 15,7 30 452 13,4
30 to 44 years old 37 919 18,4 40 058 17,6
45 to 59 years old 42 672 20,7 46 791 20,5
60 to 74 years old 36 126 17,5 43 310 19,0
75 to 89 years old 19 925 9,7 27 893 12,2
90 years and over 2 260 1,1 6 077 2,7
0 to 19 years old 46 754 22,7 44 293 19,4
20 to 64 years old 113 400 55,0 120 933 53,1
65 and over 45 943 22,3 62 705 27,5
  • 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: 429 162 100,0 429 790 100,0
In the same house 379 514 88,4 382 336 89,0
In another house in the same town 19 341 4,5 18 528 4,3
In another town 30 308 7,1 28 926 6,7
  • 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 40,7 59,3
15 to 24 years old 35,2 64,8
25 to 54 years old 40,8 59,2
55 years old and over 35,7 64,3
  • 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 357 775 100,0 364 368 100,0 365 635 100,0
Farmer operators 849 0,2 623 0,2 657 0,2
Craftsmen, traders, business leaders 18 521 5,2 20 628 5,7 20 616 5,6
Managers and higher intellectual professions 32 600 9,1 34 851 9,6 37 020 10,1
Middle-level occupations 45 722 12,8 47 013 12,9 47 277 12,9
Services employee 61 156 17,1 61 644 16,9 60 548 16,6
Blue-collar workers 33 958 9,5 33 546 9,2 31 170 8,5
Retirees 107 596 30,1 112 101 30,8 112 019 30,6
Other people with no professional activity 57 373 16,0 53 963 14,8 56 328 15,4
  • 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 171 023 194 612 100,0 100,0 100,0
Farmer operators 428 229 0,0 0,2 0,2
Craftsmen, traders, business leaders 14 391 6 224 1,0 8,9 3,6
Managers and higher intellectual professions 22 283 14 737 2,0 18,0 4,5
Middle-level occupations 20 528 26 749 7,3 22,1 5,3
Services employee 16 495 44 052 16,3 26,4 7,0
Blue-collar workers 25 490 5 680 10,3 13,6 3,1
Retirees 49 647 62 372 0,0 0,2 68,0
Other people without professional activity 21 761 34 567 62,9 10,5 8,3
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Employment area 2020 of Cannes (9304)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 194 091 100,0 200 881 100,0 203 792 100,0 419 560 424 304 423 717
One-person households (male and female) 69 077 35,6 75 786 37,7 79 699 39,1 69 077 75 786 79 699
 Single Male 27 037 13,9 30 094 15,0 32 432 15,9 27 037 30 094 32 432
 Single Female 42 040 21,7 45 692 22,7 47 267 23,2 42 040 45 692 47 267
Other households without families 5 362 2,8 5 152 2,6 3 450 1,7 12 217 11 716 7 784
Family households: 119 652 61,6 119 943 59,7 120 644 59,2 338 265 336 802 336 235
 Couple with no children 54 093 27,9 54 086 26,9 53 776 26,4 111 747 111 326 110 544
 Couple with children 47 969 24,7 47 099 23,4 46 670 22,9 181 854 177 676 175 380
 Single parent 17 590 9,1 18 758 9,3 20 198 9,9 44 664 47 800 50 310
  • 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 2,71 2,53 2,38 2,29 2,21 2,16 2,11 2,08
  • (*) 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 2,1 3,2 3,4
20 to 24 years old 15,1 16,3 17,8
25 to 39 years old 15,0 15,9 16,2
40 to 54 years old 13,4 15,0 15,9
55 to 64 years old 21,3 22,7 23,9
65 to 79 years old 29,2 29,8 30,5
80 and over 48,6 49,1 49,1
  • 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 2,5 2,0 1,4
20 to 24 years old 23,5 23,2 19,4
25 to 39 years old 67,8 66,4 65,6
40 to 54 years old 71,6 69,6 69,4
55 to 64 years old 70,6 68,5 67,1
65 to 79 years old 64,6 64,5 65,2
80 and over 39,6 39,6 41,2
  • 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 43,7
Civil partnership 4,6
In cohabitation 10,4
Widowed 8,3
Divorced 8,4
Single 24,7
  • 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 203 792 100,0 423 717 100,0
Farmer operators 454 0,2 1 200 0,3
Craftsmen, traders, business leaders 14 965 7,3 39 412 9,3
Managers and higher intellectual professions 24 724 12,1 61 715 14,6
Middle-level occupations 28 808 14,1 68 551 16,2
Services employee 35 220 17,3 80 284 18,9
Blue-collar workers 20 353 10,0 52 834 12,5
Retirees 68 039 33,4 102 790 24,3
Other people with no professional activity 11 229 5,5 16 932 4,0
  • 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 0,2
Handicrafters, traders, business leaders 7,3
Managers and higher intellectual professions 12,1
Middle-level occupations 14,1
Services employee 17,3
Blue-collar workers 10,0
Retirees 33,4
Unemployed persons 5,5
  • 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 120 820 100,0 121 078 100,0 121 955 100,0
Couple with children 48 167 39,9 47 282 39,1 46 865 38,4
Single parent 18 092 15,0 19 195 15,9 20 773 17,0
Male single parent 2 656 2,2 3 032 2,5 3 564 2,9
Female single parent 15 436 12,8 16 163 13,3 17 209 14,1
Couple with no children 54 561 45,2 54 600 45,1 54 318 44,5
  • 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 120 820 100,0 121 078 100,0 121 955 100,0
No children 60 754 50,3 61 140 50,5 62 901 51,6
1 child 28 682 23,7 29 058 24,0 29 363 24,1
2 children 23 339 19,3 23 192 19,2 22 120 18,1
3 children 6 533 5,4 6 178 5,1 5 995 4,9
4 children and over 1 513 1,3 1 510 1,2 1 577 1,3
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Employment area 2020 of Cannes (9304)

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 116 461 159 907 196 917 236 432 262 734 290 396 304 158 316 562
Main residences 81 967 105 023 128 138 152 803 169 711 194 100 200 802 203 816
Second homes 20 886 38 024 54 262 66 701 72 793 79 040 84 079 95 866
Vacant dwellings 13 608 16 860 14 517 16 928 20 230 17 256 19 277 16 881
  • (*) 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 290 396 100,0 304 158 100,0 316 562 100,0
Main residences 194 100 66,8 200 802 66,0 203 816 64,4
Second homes 79 040 27,2 84 079 27,6 95 866 30,3
Vacant dwellings 17 256 5,9 19 277 6,3 16 881 5,3
Houses 90 052 31,0 93 359 30,7 95 810 30,3
Flats 197 700 68,1 207 955 68,4 218 657 69,1
  • 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 194 100 100,0 200 802 100,0 203 816 100,0
1 room 17 862 9,2 19 908 9,9 17 996 8,8
2 rooms 41 045 21,1 43 930 21,9 45 497 22,3
3 rooms 60 405 31,1 61 529 30,6 62 701 30,8
4 rooms 42 114 21,7 42 838 21,3 42 665 20,9
5 rooms and over 32 674 16,8 32 596 16,2 34 957 17,2
  • 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 3,3 3,2 3,3
Houses 4,4 4,4 4,5
Flats 2,7 2,6 2,7
  • 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 9,1
Non-over-occupied 90,9
  • 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 201 053 100,0
before 1919 12 968 6,4
from 1919 to 1945 10 791 5,4
from 1946 to 1970 48 643 24,2
from 1971 to 1990 78 288 38,9
from 1991 to 2005 32 056 15,9
from 2006 to 2015 18 308 9,1
  • 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 5 571 7 270
from 1919 to 1945 4 561 6 167
from 1946 to 1970 13 202 35 215
from 1971 to 1990 24 723 53 103
from 1991 to 2005 14 547 17 178
from 2006 to 2015 5 787 12 267
  • 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 203 816 100,0 423 634 3,3 1,6
Less than 2 years 25 419 12,5 51 057 2,7 1,4
From 2 to 4 years 43 264 21,2 93 997 2,9 1,3
From 5 to 9 years 37 073 18,2 85 167 3,2 1,4
10 years and over 98 059 48,1 193 413 3,6 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 12,5
From 2 to 4 years 21,2
From 5 to 9 years 18,2
From 10 to 19 years 22,1
From 20 to 29 years 12,4
30 years and over 13,6
  • 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 194 100 100,0 200 802 100,0 203 816 100,0 423 634 13,6
Homeowner 110 423 56,9 114 048 56,8 116 699 57,3 247 430 17,2
Tenant 74 421 38,3 78 507 39,1 79 909 39,2 161 980 8,5
(including social sector housing) 16 170 8,3 17 202 8,6 19 703 9,7 46 612 13,4
Housed for free 9 255 4,8 8 247 4,1 7 208 3,5 14 224 12,1
  • 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 194 100 100,0 200 802 100,0 203 816 100,0
Bathroom including a shower or a bath 188 864 97,3 194 848 97,0 198 490 97,4
Collective central heating 49 941 25,7 50 647 25,2 50 980 25,0
Individual central heating 57 453 29,6 55 316 27,5 54 711 26,8
Individual electric heating 72 113 37,2 79 446 39,6 86 538 42,5
  • 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 194 100 100,0 200 802 100,0 203 816 100,0
At least one parking spot 137 570 70,9 145 532 72,5 150 214 73,7
At least one car 160 764 82,8 166 304 82,8 170 179 83,5
1 car 99 661 51,3 102 777 51,2 105 014 51,5
2 cars and over 61 103 31,5 63 528 31,6 65 165 32,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Employment area 2020 of Cannes (9304)

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 17 326 12 495 72,1 73,0 71,3
6 to 10 years old 23 683 23 116 97,6 97,5 97,8
11 to 14 years old 18 961 18 610 98,2 98,2 98,1
15 to 17 years old 14 409 13 848 96,1 95,5 96,8
18 to 24 years old 26 940 12 546 46,6 44,7 48,7
25 to 29 years old 21 408 1 230 5,7 5,5 6,0
30 years old and over 303 031 2 633 0,9 0,8 0,9
  • 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 72,0 72,8 72,1
6 to 10 years old 98,9 98,4 97,6
11 to 14 years old 99,2 99,2 98,2
15 to 17 years old 95,8 96,3 96,1
18 to 24 years old 47,8 46,1 46,6
25 to 29 years old 5,3 5,4 5,7
30 years old and over 0,7 0,8 0,9
  • 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 335 531 156 161 179 370
Proportion of graduates in percentage
No diploma or primary education certificate 20,4 19,6 21,0
BEPC brevet des collèges or DNB 6,7 5,8 7,4
CAP, BEP or equivalent 21,9 25,0 19,3
Baccalauréat, brevet professionnel or equivalent 18,2 17,0 19,3
2 years at university 10,6 9,2 11,9
3 to 4 years at university 9,8 8,3 11,0
5 years and over at university 12,4 15,1 10,1
  • 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 27,9 20,4
BEPC brevet des collèges or DNB 7,7 6,7
CAP, BEP or equivalent 20,6 21,9
Baccalauréat, brevet professionnel or equivalent 18,0 18,2
2 years and over at university 25,8 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 Cannes (9304)

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 264 790 262 888 257 140
Labor force in % 72,3 74,8 75,7
 including people in work in % 63,9 65,0 65,5
 including unemployed workers in % 8,4 9,7 10,3
Economically inactive people in % 27,7 25,2 24,3
 including pupils, students or interns in % 9,0 9,0 9,0
 including retirees in % 8,4 7,1 5,7
 including other economically inactive people in % 10,4 9,2 9,6
  • 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 257 140 194 757 75,7 168 359 65,5
 15 to 24 years old 41 349 16 311 39,4 11 709 28,3
 25 to 54 years old 160 198 143 925 89,8 126 147 78,7
 55 to 64 years old 55 593 34 522 62,1 30 504 54,9
Male 125 264 98 361 78,5 85 960 68,6
 15 to 24 years old 21 633 9 068 41,9 6 425 29,7
 25 to 54 years old 77 745 72 174 92,8 64 341 82,8
 55 to 64 years old 25 887 17 119 66,1 15 194 58,7
Female 131 875 96 397 73,1 82 400 62,5
 15 to 24 years old 19 716 7 243 36,7 5 284 26,8
 25 to 54 years old 82 453 71 751 87,0 61 806 75,0
 55 to 64 years old 29 706 17 403 58,6 15 310 51,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 65,5
Unemployed workers 10,3
Retirees 5,7
Pupils, students or interns 9,0
Other economically inactive people 9,6
  • 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 191 357 169 383 196 507 171 018 195 012 168 646
including
 Farmer operators 781 757 553 540 590 582
 Handicrafters, traders and business leaders 17 772 16 622 19 661 18 329 19 406 18 414
 Managers and higher intellectual professions 32 167 30 675 34 065 32 482 36 094 34 327
 Middle-level occupations 45 382 41 020 46 441 41 545 46 603 41 579
 Services employee 60 497 51 942 60 882 51 215 59 479 49 037
 Blue-collar workers 33 627 28 367 33 123 26 906 30 749 24 708
  • 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 22 182 25 606 26 398
Unemployment rate in % 11,6 13,0 13,6
Unemployment of the 15-24 aged 23,2 29,1 28,2
Unemployment of the 25-54 aged 10,3 11,3 12,4
Unemployment of the 55-64 aged 10,3 11,2 11,6
  • 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 21,5
BEPC brevet des collèges or DNB 18,5
CAP, BEP or equivalent 15,4
Baccalauréat, brevet professionnel or equivalent 15,5
2 years at university 10,9
3 to 4 years at university 9,4
5 years and over at university 6,9
  • 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 171 974 174 780 172 573
People in work living in the area 171 867 174 441 172 564
Employment concentration indicator 100,1 100,2 100,0
Activity rate of 15 years old and over in % 54,2 54,9 54,4
  • 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 171 974 100,0 174 780 100,0 172 573 100,0
Employee 143 718 83,6 143 481 82,1 141 033 81,7
 including women 72 159 42,0 72 688 41,6 71 734 41,6
 including part-time workers 24 753 14,4 23 141 13,2 22 156 12,8
Non-employee 28 256 16,4 31 300 17,9 31 540 18,3
 including women 9 770 5,7 11 233 6,4 12 141 7,0
 including part-time workers 2 939 1,7 4 165 2,4 4 807 2,8
  • 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 173 354 100,0
Farmer operators 632 0,4
Handicrafters, traders, business leaders 19 332 11,2
Managers and higher intellectual professions 36 646 21,1
Middle-level occupations 42 162 24,3
Services employee 49 722 28,7
Blue-collar workers 24 860 14,3
  • 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 0,5 0,3 0,4
Handicrafters, traders, business leaders 9,9 11,0 11,2
Managers and higher intellectual professions 18,4 19,8 21,1
Middle-level occupations 24,1 24,0 24,3
Services employee 30,5 29,4 28,7
Blue-collar workers 16,7 15,5 14,3
  • 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 172 100 100,0 174 829 100,0 173 354 100,0 48,8 83,3
Agriculture 1 282 0,7 949 0,5 971 0,6 35,3 40,8
Industry 16 654 9,7 14 664 8,4 14 377 8,3 35,9 90,1
Construction 13 151 7,6 12 958 7,4 11 697 6,7 11,9 60,8
Wholesale and retail trade/transports/accommodations and food service activities 94 713 55,0 98 487 56,3 97 824 56,4 45,1 81,9
Public administration/education/healthcare/social work 46 299 26,9 47 771 27,3 48 485 28,0 69,3 90,3
  • 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 34,3 36,0
Industry 36,6 29,7
Construction 15,7 5,9
Wholesale and retail trade, transports, accommodations and food service activities 46,5 38,8
Public administration, education, healthcare, social work 70,4 59,6
  • 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 Cannes (9304)

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 172 533 100,0 15,7 48,8
Employees 140 544 81,5 15,8 51,2
Non-employees 31 988 18,5 15,2 38,0
  • 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 88 351 100 84 182 100
Employees 68 531 77,6 72 013 85,5
 Tenured personnel and open-ended employment contracts 60 263 68,2 62 473 74,2
 Fixed-term employment contracts 5 215 5,9 7 212 8,6
 Temporary employment 1 248 1,4 537 0,6
 Assisted jobs 307 0,3 607 0,7
 Apprentice ship contract - Traineeship 1 498 1,7 1 183 1,4
Non-employees 19 820 22,4 12 168 14,5
 Independents 11 426 12,9 8 659 10,3
 Employers 8 291 9,4 3 289 3,9
 Caregivers 103 0,1 221 0,3
  • 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 67 512 7,0 70 904 23,1
15 to 24 years old 5 968 22,4 4 925 31,8
25 to 54 years old 51 026 4,8 53 185 20,9
55 to 64 years old 10 517 9,2 12 795 28,9
  • 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 7,5 7,3 7,6
Female 27,0 24,9 23,7
  • 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 171 777 100 174 368 100 172 533 100
working :
in their residential zone 73 774 42,9 74 348 42,6 70 847 41,1
in another zone 98 003 57,1 100 021 57,4 101 686 58,9
  • 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 4,4
Walking 6,6
Bicycle 1,1
Motorized two-wheeled vehicles 5,5
Car or truck 75,2
Public transports 7,2
  • 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 Cannes (9304)

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 4 540 4 962 4 803 4 880 4 960 5 014 5 131 5 569
Domiciled births 4 796 4 669 4 754 4 681 4 621 4 506 4 454 4 522
  • 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 Cannes (9304)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 213 372
Number of people in tax households 450 378
Median disposable income (per consumption unit in euros) 23 250
Share of actually taxed tax households (in %) 55,0
  • 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 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 14,5
Less than 30 years old 19,4
30 to 39 years old 15,8
40 to 49 years old 16,4
50 to 59 years old 15,0
60 to 74 years old 12,2
75 and over 11,4
  • 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 14,5
Homeowner 8,1
Tenant 24,2
  • 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 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 70,3
including wages 60,6
including unemployment pensions 3,8
including self-employed income 5,9
Retirement pension or annuity 30,2
Capital income (real estate, financial, others) 13,9
Social benefits 4,7
including child benefit 1,4
including income support 2,3
including housing benefit 1,0
Tax –19,1
  • 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) 23 250
Inter-decile ratio 3,7
1st decile (in euros) 11 780
9th decile (in euros) 43 420
  • 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 Cannes (9304)

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 17,4 15,3 19,1
Managerial staff* 28,7 24,9 30,7
Middle-level occupations 16,4 15,5 17,2
Services employee 12,0 11,8 12,4
Blue-collar workers 12,2 10,6 12,5
  • * 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 –19,9
Managerial staff* –18,9
Middle-level occupations –9,9
Services employee –4,5
Blue-collar workers –14,9
  • * 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 10,7 10,5 11,0
26 to 50 years old 17,0 15,3 18,3
50 years old or over 20,4 16,9 23,3
  • 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 –4,9
26 to 50 years old –16,6
50 years old and over –27,8
  • 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 Cannes (9304)

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 20 104 100,0 2 119 15 311 1 394 780 500
Agriculture, forestry and fishing 155 0,8 29 117 6 3 0
Industrial economy 1 072 5,3 75 769 120 62 46
Building industry 2 413 12,0 296 1 917 141 49 10
Trade, transport, various services 14 644 72,8 1 601 11 403 910 487 243
including trade and car repair 4 066 20,2 361 3 227 272 144 62
Administration publique, enseignement, santé, action sociale 1 820 9,1 118 1 105 217 179 201
  • 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 164 301 100,0 42 739 18 475 23 603 20 830 58 654
Agriculture, forestry and fishing 452 0,3 293 69 90 0 0
Industrial economy 16 222 9,9 2 636 1 617 1 922 1 650 8 397
Building industry 9 220 5,6 5 102 1 855 1 369 572 322
Trade, transport, various services 93 545 56,9 31 567 12 074 14 543 9 427 25 934
including trade and car repair 25 148 15,3 9 917 3 567 4 462 2 664 4 538
Administration publique, enseignement, santé, action sociale 44 862 27,3 3 141 2 860 5 679 9 181 24 001
  • 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* 9,1
Trade, transport, various services* 72,8
Building industry* 12,0
Industrial economy* 5,3
Agriculture, forestry and fishing* 0,8
  • 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 2,5
20 to 49 employees 3,9
10 to 19 employees 6,9
1 to 9 employee(s) 76,2
0 employee 10,5
  • 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 20 104 100,0 164 301 100,0
Productive sphere* 6 155 30,6 59 478 36,2
of which public domain* 15 0,1 1 553 0,9
Presential sphere 13 949 69,4 104 823 63,8
of which public domain* 454 2,3 30 259 18,4
  • 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 20 104 100,0 164 301 100,0
Agriculture, forestry and fishing 155 0,8 452 0,3
Manufacture of food, drink and tobacco products 290 1,4 1 854 1,1
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 60 0,3 2 695 1,6
Manufacture of transport equipment 18 0,1 2 181 1,3
Manufacture of other industrial products 614 3,1 7 947 4,8
Extractive industries, energy, water, waste management and pollution control 90 0,4 1 545 0,9
Building industry 2 413 12,0 9 220 5,6
Trade ; repair of automobiles and motorcycles 4 066 20,2 25 148 15,3
Transportation and warehousing 449 2,2 5 468 3,3
Accommodation and catering 2 250 11,2 12 688 7,7
Information and communication 638 3,2 13 214 8,0
Financial and insurance activities 825 4,1 3 354 2,0
Real estate activities 1 101 5,5 2 934 1,8
Scientific and technical activities; administrative and support services 3 791 18,9 24 565 15,0
General government, education, human healthcare and social action 1 820 9,1 44 862 27,3
Other service activities 1 524 7,6 6 174 3,8
  • 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 21 654 100,0
Employers of childminders 4 611 21,3
Employers of other employees 17 043 78,7
  • 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 Cannes (9304)

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 10 715 100,0 7 894 73,7
Industry 452 4,2 334 73,9
Construction 1 009 9,4 636 63,0
Wholesale and retail trade/transports/accommodations and food service activities 2 871 26,8 2 096 73,0
Information/communication 575 5,4 421 73,2
Finance and insurance activities 236 2,2 38 16,1
Real estate activities 773 7,2 403 52,1
Professional/scientific/technical activites/administrative and support service activities 2 790 26,0 2 180 78,1
Public administration/education/healthcare/social work 784 7,3 703 89,7
Other service activities 1 225 11,4 1 083 88,4
  • 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 7 265 6 651 6 577 6 235 6 611 6 433 7 861 8 832 9 026 10 715
Sole proprietorship 5 218 4 699 4 580 4 199 4 220 4 203 5 367 6 413 6 701 7 894
  • 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 69 322 100,0
Industry 3 338 4,8
Construction 9 772 14,1
Wholesale and retail trade/transports/accommodations and food service activities 17 601 25,4
Information/communication 2 600 3,8
Finance and insurance activities 2 302 3,3
Real estate activities 5 815 8,4
Professional/scientific/technical activites/administrative and support service activities 14 234 20,5
Public administration/education/human health/social work 7 731 11,2
Other service activities 5 929 8,6
  • 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 11 982 100,0
Industry 517 4,3
Construction 1 085 9,1
Wholesale and retail trade/transports/accommodations and food service activities 3 285 27,4
Information/communication 634 5,3
Finance and insurance activities 278 2,3
Real estate activities 904 7,5
Professional/scientific/technical activites/administrative and support service activities 3 020 25,2
Public administration/education/healthcare/social work 955 8,0
Other service activities by the number of business creations including free lancers 1 304 10,9
  • 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 8 524 7 578 7 443 7 152 7 534 7 480 8 920 9 909 10 070 11 982
  • 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 76 597 100,0
Industry 3 842 5,0
Construction 10 129 13,2
Wholesale and retail trade/transports/accommodations and food service activities 20 515 26,8
Information/communication 2 847 3,7
Finance and insurance activities 2 710 3,5
Real estate activities 6 503 8,5
Professional/scientific/technical activites/administrative and support service activities 15 399 20,1
Public administration/education/human health/social work 8 390 11,0
Other service activities 6 262 8,2
  • 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 Cannes (9304)

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 228 10 473
1 star 5 184
2 stars 38 1 119
3 stars 81 2 818
4 stars 62 4 257
5 stars 14 1 626
Non-ranked 28 469
  • 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 31 3 041
1 star 0 0
2 stars 5 380
3 stars 15 1 594
4 stars 8 882
5 stars 0 0
Non-ranked 3 185
  • 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 61 16 349
Tourist accommodations 50 11 826
Holiday villages or private homes 10 4 303
Youth hostels 1 220
  • (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.