données locales

Paru le : 17/06/2025

Full set of local data Department of Alpes-Maritimes (06)

Detailed figures
Paru le :Paru le17/06/2025
- June 2025

The data presented are disseminated according to the 2024 or 2025 geography, depending on the source. For statistical confidentiality reasons, some indicators may not be provided.

Growth and structure of the population in 2021

Department of Alpes-Maritimes (06)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2010 % 2015 % 2021 %
Altogether 1 078 729 100,0 1 082 440 100,0 1 103 941 100,0
0 to 14 years old 172 070 16,0 170 213 15,7 171 539 15,5
15 to 29 years old 178 937 16,6 175 126 16,2 171 312 15,5
30 to 44 years old 208 776 19,4 198 062 18,3 196 810 17,8
45 to 59 years old 213 364 19,8 216 869 20,0 221 727 20,1
60 to 74 years old 177 116 16,4 189 193 17,5 200 989 18,2
75 and over 128 465 11,9 132 977 12,3 141 564 12,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2010 2015 2021
0 to 14 years old 16,0 15,7 15,5
15 to 29 years old 16,6 16,2 15,5
30 to 44 years old 19,4 18,3 17,8
45 to 59 years old 19,8 20,0 20,1
60 to 74 years old 16,4 17,5 18,2
75 and over 11,9 12,3 12,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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 2010 2015 2021
Population 722 070 816 681 881 198 971 829 1 011 326 1 078 729 1 082 440 1 103 941
Average density (inhab / km²) 168,0 190,0 205,0 226,1 235,3 251,0 251,8 256,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024.
  • Sources: Insee, RP1967 to 1999 counts, RP2010 to RP2021 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 2010 2010 to 2015 2015 to 2021
Average annual change in population in % 1,8 1,1 1,2 0,4 0,6 0,1 0,3
due to the natural balance in % –0,2 –0,2 –0,1 –0,0 0,0 0,1 –0,0
due to the apparent balance of inflows and outflows in % 1,9 1,3 1,3 0,5 0,6 –0,0 0,3
Natality rate (‰) 11,1 10,6 11,6 11,2 11,1 11,2 10,7
Mortality rate (‰) 12,7 12,8 12,7 11,6 10,8 10,2 10,9
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024
  • Sources: Insee, RP1968 to 1999 counts, RP2010 to RP2021 main holdings - Civil status

POP T3 - Population by age and sex in 2021

POP T3 - Population by age and sex in 2021
Age Male % Female %
Altogether 521 727 100,0 582 214 100,0
0 to 14 years old 87 667 16,8 83 873 14,4
15 to 29 years old 86 105 16,5 85 207 14,6
30 to 44 years old 94 682 18,1 102 127 17,5
45 to 59 years old 106 101 20,3 115 626 19,9
60 to 74 years old 91 844 17,6 109 144 18,7
75 to 89 years old 49 704 9,5 71 264 12,2
90 years and over 5 623 1,1 14 972 2,6
0 to 19 years old 118 982 22,8 113 119 19,4
20 to 64 years old 287 837 55,2 310 307 53,3
65 and over 114 908 22,0 158 787 27,3
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2015 % 2021 %
People one year old and over, previously living: 1 070 966 100,0 1 093 311 100,0
In the same house 950 798 88,8 978 807 89,5
In another house in the same town 55 122 5,1 51 941 4,8
In another town 65 046 6,1 62 563 5,7
  • Source: Insee, RP2015, RP2021 main operations, geography as of 01/01/2024.

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 49,1 50,9
15 to 24 years old 39,6 60,4
25 to 54 years old 47,3 52,7
55 years old and over 41,9 58,1
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
socioprofessional classification 2010 % 2015 % 2021 %
Altogether 906 853 100,0 912 499 100,0 934 576 100,0
Farmer operators 1 846 0,2 1 469 0,2 1 339 0,1
Craftsmen, traders, business leaders 42 989 4,7 45 643 5,0 49 229 5,3
Managers and higher intellectual professions 77 917 8,6 81 745 9,0 92 443 9,9
Middle-level occupations 119 072 13,1 120 871 13,2 126 016 13,5
Services employee 161 315 17,8 159 662 17,5 156 305 16,7
Blue-collar workers 86 567 9,5 81 917 9,0 79 543 8,5
Retirees 268 049 29,6 274 963 30,1 273 574 29,3
Other people with no professional activity 149 099 16,4 146 230 16,0 156 127 16,7
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021
socioprofessional classification Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 435 405 499 171 100,0 100,0 100,0
Farmer operators 859 480 0,0 0,2 0,1
Craftsmen, traders, business leaders 34 545 14 684 1,2 8,3 3,5
Managers and higher intellectual professions 53 036 39 407 2,2 17,1 5,2
Middle-level occupations 55 512 70 503 8,1 23,2 5,8
Services employee 45 413 110 892 16,1 26,5 7,6
Blue-collar workers 65 599 13 944 9,0 13,6 3,5
Retirees 120 962 152 612 0,0 0,2 65,1
Other people without professional activity 59 478 96 649 63,3 10,9 9,3
  • Source: Insee, RP2021 additional operation, geography as of 01/01/2024.

Couples – Family – Households in 2021

Department of Alpes-Maritimes (06)

FAM T1 - Households by composition

FAM T1 - Households by composition
household type Number of households Household population
2010 % 2015 % 2021 % 2010 2015 2021
Altogether 497 889 100,0 506 687 100,0 527 396 100,0 1 054 562 1 056 402 1 080 313
One-person households (male and female) 189 083 38,0 200 246 39,5 217 384 41,2 189 083 200 246 217 384
 Single Male 74 541 15,0 79 827 15,8 88 009 16,7 74 541 79 827 88 009
 Single Female 114 542 23,0 120 419 23,8 129 374 24,5 114 542 120 419 129 374
Other households without families 14 505 2,9 13 740 2,7 7 930 1,5 32 800 31 665 16 929
Family households : 294 302 59,1 292 701 57,8 302 082 57,3 832 679 824 491 846 001
 Couple without children 130 081 26,1 127 938 25,3 131 131 24,9 268 348 263 581 269 003
 Couple with children 117 316 23,6 114 841 22,7 114 799 21,8 444 210 434 129 435 012
 Single parent 46 904 9,4 49 922 9,9 56 152 10,6 120 121 126 781 141 986
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

FAM T1bis - The detailed composition of single-family households.

FAM T1bis - The detailed composition of single-family households.
Single-family households Number of households % Household population
Altogether 298 500 100,0 827 513
Couple without children 129 401 42,8 261 132
Couple with children 113 399 37,5 426 658
Couples with only children of the couple 100 098 33,1 372 686
Couples with at least one child of only one member of the couple 13 301 4,4 53 972
Single-parent family 55 700 18,4 139 723
Single man with child(ren) 13 677 4,5 32 481
Single woman with child(ren) 42 023 13,9 107 242
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Average number of occupants per main residence 2,66 2,47 2,33 2,26 2,17 2,12 2,08 2,05
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 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 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 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
2010 2015 2021
15 to 19 years old 3,7 4,7 6,0
20 to 24 years old 17,4 17,5 19,8
25 to 39 years old 16,4 16,3 17,7
40 to 54 years old 15,0 16,3 16,8
55 to 64 years old 23,0 24,3 25,5
65 to 79 years old 30,4 31,6 32,5
80 and above 50,4 50,1 49,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G3 - Proportion of couple families aged 15 years or over

FAM G3 - Proportion of couple families aged 15 years or over
2010 2015 2021
15 to 19 years old 2,2 1,9 1,5
20 to 24 years old 21,8 19,7 18,6
25 to 39 years old 65,7 64,1 63,5
40 to 54 years old 69,4 67,4 68,2
55 to 64 years old 68,2 66,2 64,9
65 to 79 years old 63,0 62,5 63,0
80 and above 37,9 38,7 41,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G3 - Proportion of couple families aged 15 years or over

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

FAM G4 - Marital status of the population aged 15 years or over in 2021
%
Married 42,1
Civil partnership 4,7
In cohabitation 10,1
Widowed 7,6
Divorced 8,6
Single 26,9
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM T2 - Households by socio-economic classification of the reference person in 2021

FAM T2 - Households by socio-economic classification of the reference person in 2021
Number of households % Household population %
Altogether 527 396 100,0 1 080 313 100,0
Farmer operators 1 000 0,2 2 419 0,2
Craftsmen, traders, business leaders 35 151 6,7 92 427 8,6
Managers and higher intellectual professions 63 242 12,0 150 422 13,9
Intermediate professions 77 888 14,8 179 541 16,6
Employees 92 809 17,6 210 159 19,5
Workers 53 061 10,1 139 701 12,9
Retirees 168 498 31,9 251 130 23,2
Other people without professional activity 35 745 6,8 54 514 5,0
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

FAM G5 - Households by socio-economic classification of the reference person in 2021
%
Farmer operators 0,2
Handicrafters, traders, business leaders 6,7
Managers and higher intellectual professions 12,0
Intermediate professions 14,8
Employees 17,6
Workers 10,1
Retirees 31,9
Unemployed persons 6,8
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM T3 - Families composition

FAM T3 - Families composition
2010 % 2015 % 2021 %
Altogether 297 116 100,0 295 648 100,0 305 636 100,0
Couple with children 117 761 39,6 115 292 39,0 115 259 37,7
Single parent 48 160 16,2 51 298 17,4 57 837 18,9
 Male single parent 7 192 2,4 8 321 2,8 10 731 3,5
 Female single parent 40 968 13,8 42 977 14,5 47 107 15,4
Couple without children 131 194 44,2 129 059 43,7 132 540 43,4
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

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) 2021 %
Altogether 115 259 100,0
Traditional family 101 650 88,2
Blended family 13 609 11,8
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2010 % 2015 % 2021 %
Altogether 297 116 100,0 295 648 100,0 305 636 100,0
Without any 147 982 49,8 148 306 50,2 155 990 51,0
1 child 72 727 24,5 72 918 24,7 73 715 24,1
2 children 56 268 18,9 54 762 18,5 55 480 18,2
3 children 15 532 5,2 15 179 5,1 15 527 5,1
4 children or above 4 607 1,6 4 484 1,5 4 924 1,6
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

Housing in 2021

Department of Alpes-Maritimes (06)

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
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Altogether 347 046 444 099 522 088 605 843 666 644 730 491 757 924 788 916
Principal residences 263 847 321 767 368 955 420 375 455 535 497 801 506 698 525 827
Secondary residences 48 911 81 681 112 285 135 113 146 026 171 768 187 112 197 490
Vacant accommodations 34 288 40 651 40 848 50 355 65 083 60 922 64 113 65 598
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

LOG T2 - Types and categories of housings

LOG T2 - Types and categories of housings
2010 % 2015 % 2021 %
Altogether 730 491 100,0 757 924 100,0 788 916 100,0
Principal residence 497 801 68,1 506 698 66,9 525 827 66,7
Secondary residences 171 768 23,5 187 112 24,7 197 490 25,0
Vacant accommodations 60 922 8,3 64 113 8,5 65 598 8,3
houses 178 458 24,4 182 431 24,1 184 694 23,4
flats 545 499 74,7 569 351 75,1 598 832 75,9
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
2010 % 2015 % 2021 %
Altogether 497 801 100,0 506 698 100,0 525 827 100,0
1 room 51 727 10,4 55 048 10,9 54 289 10,3
2 rooms 116 516 23,4 119 826 23,6 126 563 24,1
3 rooms 160 741 32,3 164 112 32,4 169 704 32,3
4 rooms 103 239 20,7 101 563 20,0 103 545 19,7
5 rooms or above 65 577 13,2 66 149 13,1 71 726 13,6
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
2010 2015 2021
All main residences 3,1 3,1 3,1
House 4,3 4,3 4,4
Flat 2,7 2,7 2,7
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2010 2015 2021
Over-occupied 11,7 11,8 10,9
Non-over-occupied 88,3 88,2 89,1
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

LOG T5 - Principal residences in 2021 by completion period

LOG T5 - Principal residences in 2021 by completion period
Number %
Principal residences build before 2019 519 370 100,0
before 1919 39 498 7,6
from 1919 to 1945 40 398 7,8
from 1946 to 1970 136 993 26,4
from 1971 to 1990 187 066 36,0
from 1991 to 2005 67 601 13,0
from 2006 to 2015 47 813 9,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

LOG G1 - Principal residences in 2021 by completion period and housing category
House Flat
before 1919 12 340 26 785
from 1919 to 1945 11 923 28 147
from 1946 to 1970 26 248 109 861
from 1971 to 1990 46 032 140 196
from 1991 to 2005 24 638 42 329
from 2006 to 2018 12 876 34 216
  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T6 - Housing tenure of the main residences in 2021

LOG T6 - Housing tenure of the main residences in 2021
Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 525 827 100,0 1 078 244 3,1 1,5
Less than 2 years ago 65 759 12,5 126 300 2,5 1,3
From 2 to 4 years ago 111 743 21,3 237 740 2,8 1,3
From 5 to 9 years ago 94 283 17,9 216 180 3,0 1,3
10 years ago or above 254 043 48,3 498 024 3,5 1,8
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

LOG G2 - Households’ Housing tenure in 2021
Share of households in%
Less than 2 years ago 12,5
From 2 to 4 years ago 21,3
From 5 to 9 years ago 17,9
From 10 to 19 years ago 20,0
From 20 to 29 years ago 13,0
30 years ago or above 15,3
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T7 - Principal residences by occupational status

LOG T7 - Principal residences by occupational status
2010 2015 2021
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 497 801 100,0 506 698 100,0 525 827 100,0 1 078 244 14,2
Homeowner 272 716 54,8 277 345 54,7 291 802 55,5 608 922 18,1
Tenant 203 264 40,8 209 712 41,4 215 715 41,0 434 702 9,1
(including public tenants) 41 524 8,3 45 557 9,0 51 986 9,9 126 171 14,1
Housed for free 21 821 4,4 19 642 3,9 18 311 3,5 34 620 12,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T8M - Principal residences by material comfort

LOG T8M - Principal residences by material comfort
2010 % 2015 % 2021 %
Altogether 497 801 100,0 506 698 100,0 525 827 100,0
Bathroom including a shower or a bath 481 968 96,8 488 987 96,5 508 374 96,7
Collective central heating 156 769 31,5 155 537 30,7 160 413 30,5
Individual central heating 128 093 25,7 124 295 24,5 123 708 23,5
Individual electric heating 179 930 36,1 196 831 38,8 215 432 41,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2010 % 2015 % 2021 %
Altogether 497 801 100,0 506 698 100,0 525 827 100,0
At least one parking spot 313 466 63,0 322 319 63,6 341 781 65,0
At least one car 385 038 77,3 391 780 77,3 406 620 77,3
1 car 255 182 51,3 258 462 51,0 269 104 51,2
2 cars or above 129 856 26,1 133 318 26,3 137 516 26,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

Education and training in 2021

Department of Alpes-Maritimes (06)

FOR T1 - Enrollment by age and sex in 2021

FOR T1 - Enrollment by age and sex in 2021
Age Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 43 973 32 078 72,9 73,3 72,6
6 to 10 years old 58 779 57 153 97,2 97,1 97,4
11 to 14 years old 48 309 47 295 97,9 97,8 98,0
15 to 17 years old 35 909 34 271 95,4 94,6 96,3
18 to 24 years old 79 467 43 008 54,1 50,3 58,1
25 to 29 years old 55 936 5 515 9,9 9,3 10,4
30 years old and over 761 089 8 282 1,1 1,0 1,2
  • Source: Insee, RP2021 principal exploitation, geography at the 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
Age 2010 2015 2021
2 to 5 years old 71,9 72,0 72,9
6 to 10 years old 98,6 97,9 97,2
11 to 14 years old 99,1 98,7 97,9
15 to 17 years old 95,7 95,9 95,4
18 to 24 years old 52,3 52,8 54,1
25 to 29 years old 7,7 8,4 9,9
30 years old and over 0,9 1,0 1,1
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Diploma Altogether Male Female
Proportion of unschooled aged 15 years or above 841 326 390 494 450 832
Proportion of graduates in percentage
No diploma or primary education certificate 19,2 18,6 19,7
BEPC brevet des collèges or DNB 6,5 5,9 7,1
CAP, BEP or equivalent 21,3 24,4 18,5
Baccalauréat, brevet professionnel or equivalent 18,3 17,3 19,1
2 years at university 10,8 9,6 11,8
3 to 4 years at university 10,6 8,9 12,1
5 years and over at university 13,3 15,2 11,6
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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 %)
2010 2021
No diploma or primary education certificate 27,2 19,2
BEPC brevet des collèges or DNB 7,7 6,5
CAP, BEP or equivalent 20,2 21,3
Baccalauréat, brevet professionnel or equivalent 18,2 18,3
2 years and over at university 26,7 34,7
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

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 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

Active population, employment and unemployment within the meaning of the census in 2021

Department of Alpes-Maritimes (06)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2010 2015 2021
Altogether 670 369 657 142 658 706
Working age adult in % 72,5 74,2 75,1
 including working age adults with a job in % 64,3 64,0 66,2
 including unemployed workers in % 8,2 10,2 8,9
Economically inactive people in % 27,5 25,8 24,9
 including pupils, students or interns in % 9,9 10,1 10,1
 including retirees in % 8,0 6,3 5,3
 including other economically inactive people in % 9,6 9,5 9,5
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 658 706 494 891 75,1 436 239 66,2
 15 to 24 years old 115 376 45 020 39,0 34 125 29,6
 25 to 54 years old 399 662 357 816 89,5 319 468 79,9
 55 to 64 years old 143 668 92 054 64,1 82 646 57,5
Male 319 153 249 011 78,0 221 502 69,4
 15 to 24 years old 58 719 24 523 41,8 18 384 31,3
 25 to 54 years old 192 567 178 790 92,8 161 899 84,1
 55 to 64 years old 67 867 45 698 67,3 41 219 60,7
Female 339 553 245 880 72,4 214 737 63,2
 15 to 24 years old 56 657 20 498 36,2 15 741 27,8
 25 to 54 years old 207 095 179 027 86,4 157 569 76,1
 55 to 64 years old 75 801 46 356 61,2 41 427 54,7
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

EMP G1 - Population aged 15 to 64 by economic activity category in 2021
Population (%)
Working age adults who have a job 66,2
Unemployed workers 8,9
Retirees 5,3
Pupils, students or interns 10,1
Other economically inactive people 9,5
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T3 - Population aged 15 to 64 by socio-economic classification

EMP T3 - Population aged 15 to 64 by socio-economic classification
Socio-economic classification 2010 including working people 2015 including working people 2021 including working people
Altogether 486 482 431 514 487 084 419 977 496 651 439 989
including nd nd nd nd nd nd
 Farmer operators 1 691 1 626 1 307 1 272 1 171 1 147
 Handicrafters, traders and business leaders 41 149 38 526 43 220 40 104 46 229 44 111
 Managers and higher intellectual professions 76 299 72 799 79 525 75 334 89 090 84 832
 Intermediate professions 117 915 107 612 119 144 106 554 123 612 112 528
 Employees 159 500 138 265 157 246 131 774 153 020 130 939
 Workers 85 703 72 686 80 840 64 940 78 142 66 432
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

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 2010 2015 2021
Number of unemployed workers 54 999 67 154 58 651
Unemployment rate in % 11,3 13,8 11,9
Unemployment of the 15-24 aged 24,5 30,0 24,2
Unemployment of the 25-54 aged 9,9 12,2 10,7
Unemployment of the 55-64 aged 9,1 11,2 10,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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 18,4
BEPC brevet des collèges or DNB 16,5
CAP, BEP or equivalent 12,9
Baccalauréat, brevet professionnel or equivalent 13,7
2 years at university 9,2
3 to 4 years at university 9,0
5 years or more at university 7,3
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2010 2015 2021
Number of jobs in the area 417 210 408 143 423 091
Working age adult living in the area 438 043 429 820 448 904
Occupational concentration by industry 95,2 95,0 94,2
employment rate of 15 years old or above in % 54,4 54,5 54,5
  • 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, RP2010, RP2015 and RP2021, main holdings, place of residence and place of work, geography as of 01/01/2024.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2010 % 2015 % 2021 %
Altogether 417 210 100,0 408 143 100,0 423 091 100,0
Employee 348 900 83,6 336 789 82,5 344 728 81,5
 including women 178 940 42,9 175 121 42,9 179 301 42,4
 including partial time jobs 61 470 14,7 57 902 14,2 54 594 12,9
Non-employee 68 310 16,4 71 354 17,5 78 363 18,5
 including women 23 798 5,7 25 837 6,3 30 389 7,2
 including partial time jobs 7 839 1,9 10 261 2,5 11 970 2,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main workplaces, geography as of 01/01/2024.

EMP T7 - Employment by socio-economic activity in 2021

EMP T7 - Employment by socio-economic activity in 2021
Socio-economic activity Number %
Altogether 427 444 100,0
Farmer operators 1 308 0,3
Handicrafters, traders, business leaders 46 563 10,9
Managers and higher intellectual professions 81 378 19,0
Intermediate professions 109 518 25,6
Employees 125 939 29,5
Workers 62 737 14,7
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

EMP G3 - Employment by socio-economic activity
2010 2015 2021
Farmer operators 0,4 0,4 0,3
Handicrafters, traders, business leaders 9,6 10,3 10,9
Managers and higher intellectual professions 16,7 17,8 19,0
Intermediate professions 24,9 25,3 25,6
Employees 31,7 31,1 29,5
Workers 16,6 15,1 14,7
  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2010 2015 2021
Number % Number % Number % including women in % including employees %
Altogether 417 695 100,0 408 158 100,0 427 444 100,0 49,6 82,8
Agriculture 2 425 0,6 2 135 0,5 1 968 0,5 38,2 40,4
Industry 30 787 7,4 28 587 7,0 29 164 6,8 36,2 88,6
Construction 31 922 7,6 29 826 7,3 29 968 7,0 11,9 64,5
Wholesale and retail trade/transports/accommodations and food service activities 225 077 53,9 217 979 53,4 232 765 54,5 45,4 80,7
Public administration/education/human health/social work 127 484 30,5 129 630 31,8 133 579 31,3 68,6 90,1
  • Sources : Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021
Employees Non-employees
Agriculture 39,5 37,3
Industry 36,5 33,3
Construction 15,7 5,1
Wholesale and retail trade, transports, accommodations and food service activities 47,0 38,6
Public administration, education, human health, social work 69,7 58,6
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

Characteristics of employment in the sense of the census in 2021

Department of Alpes-Maritimes (06)

ACT T1 - Population aged 15 years or over having a job by status in 2021

ACT T1 - Population aged 15 years or over having a job by status in 2021
Employment status Number % of which % part-time of which % women
Altogether 448 829 100,0 15,3 49,0
Employees 369 513 82,3 15,3 51,3
Non-employees 79 316 17,7 15,3 38,5
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021
Employment status and conditions Male % Female %
Altogether 228 697 100 220 132 100
Employees 179 946 78,7 189 566 86,1
 Tenured personnel and open-ended employment contracts 155 290 67,9 162 572 73,9
 Fixed-term employment contracts 14 780 6,5 20 029 9,1
 Temporary employment 4 339 1,9 1 661 0,8
 Assisted jobs 661 0,3 895 0,4
 Apprentice ship contract - Traineeship 4 877 2,1 4 410 2,0
Non-employees 48 751 21,3 30 566 13,9
 Independents 28 888 12,6 22 543 10,2
 Employers 19 588 8,6 7 564 3,4
 Caregivers 275 0,1 459 0,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021
Age Male of which% part-time Female of which% part-time
Altogether 176 635 7,4 185 899 21,5
15 to 24 years old 16 813 25,0 14 762 34,5
25 to 54 years old 129 827 5,1 135 851 19,3
55 to 64 years old 29 994 7,8 35 286 24,8
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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
Sex 2010 2015 2021
Male 7,9 8,3 8,2
Female 26,0 24,6 22,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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 2010 % 2015 % 2021 %
Altogether 437 852 100 429 718 100 448 829 100
working :
in their residential zone 216 698 49,5 213 028 49,6 213 182 47,5
in another zone 221 154 50,5 216 690 50,4 235 647 52,5
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

ACT G2 - Proportion of transports used to go to work in 2021
Mode of transport Percentage
None 4,2
Walking 8,9
Bicycle 1,9
Motorized two-wheeled vehicles 7,3
Car or truck 63,3
Public transports 14,3
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

Births and Deaths of people with usual residence in the area, 2014-2023

Department of Alpes-Maritimes (06)

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 2022 2023
Domiciled deaths 11 858 11 858 11 643 12 099 11 765 11 817 12 452 13 495 13 251 12 567
Domiciled births 12 068 12 068 11 956 11 888 11 631 11 580 11 216 11 407 11 227 10 380
  • Source: Insee, civil status statistics in geography as of 01/01/2024.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2024.

Household income and poverty in 2021

Department of Alpes-Maritimes (06)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households
Number of people in tax households
Median disposable income (per consumption unit in euros)
Share of actually taxed tax households (in %)
  • 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
30 to 39 years old
40 to 49 years old
50 to 59 years old
60 to 74 years old
75 and over
Altogether
  • 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
Tenant
Altogether
  • 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
   Wages
   Unemployment pensions
   Self-employed income
Retirement pension or annuity
Capital income (real estate, financial, others)
Social benefits
   Child benefit
   Income support
   Housing benefit
Tax
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)
Inter-decile ratio
1st decile (in euros)
9th decile (in euros)
  • 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 2022

Department of Alpes-Maritimes (06)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022
Altogether Female Male
Altogether 16,9 15,3 18,1
Managerial staff * 28,4 25,1 30,3
Intermediate professions 17,2 16,0 18,4
Employees 12,4 12,2 12,6
Workers 12,6 11,0 12,9
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022
Difference (in%)
Altogether –15,9
Managerial staff * –17,1
Intermediate professions –12,8
Employees –3,3
Workers –14,8
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL T1 - Net average hourly wage (in euros) by age in 2022

SAL T1 - Net average hourly wage (in euros) by age in 2022
Age Altogether Female Male
15 to 25 years old 11,7 11,1 12,3
26 to 50 years old 16,6 15,3 17,6
50 years old or above 19,3 16,7 21,5
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022
Gender pay gap (in%)
15 to 25 years old –9,6
26 to 50 years old –13,1
50 years old or above –22,2
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

  • 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, file of employees at place of residence in geography as of 01/01/2024.

Establishment characteristics at the end of 2023

Department of Alpes-Maritimes (06)

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
Agriculture, forestry and fishing
Industrial economy
Building industry
Trade, transport, various services
General government, education, healthcare, social action
  • 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
Agriculture, forestry and fishing
Industrial economy
Building industry
Trade, transport, various services
General government, education, healthcare, social action
  • 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
Trade, transport, various services
Building industry
Industrial economy
Agriculture, forestry and fishing
  • 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
20 to 49 employees
10 to 19 employees
1 to 9 employees
0 employee
  • 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
Productive sphere
of which public domain
Presential sphere
of which public domain
  • 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
Employers of childminders
Employers of other employees
  • 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

Department of Alpes-Maritimes (06)

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
Industry
Construction
Wholesale and retail trade/transports/accommodations and food service activities
Information/communication
Finance and insurance activities
Real estate activities
Professional/scientific/technical activites/administrative and support service activities
Public administration/education/healthcare/social work
Other service activities
  • 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
Sole proprietorship
SARL
SAS
Other societies
  • 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
Industry
Construction
Wholesale and retail trade/transports/accommodations and food service activities
Information/communication
Finance and insurance activities
Real estate activities
Professional/scientific/technical activites/administrative and support service activities
Public administration/education/healthcare/social work
Other service activities by the number of business creations including free lancers
  • 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
  • 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

Department of Alpes-Maritimes (06)

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
Industry
Construction
Wholesale and retail trade/transports/accommodations and food service activities
Information/communication
Finance and insurance activities
Real estate activities
Professional/scientific/technical activites/administrative and support service activities
Public administration/education/human health/social work
Other service activities
  • 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
Industry
Construction
Wholesale and retail trade/transports/accommodations and food service activities
Information/communication
Finance and insurance activities
Real estate activities
Professional/scientific/technical activites/administrative and support service activities
Public administration/education/human health/social work
Other service activities
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Tourism in 2025

Department of Alpes-Maritimes (06)

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
1 star
2 stars
3 stars
4 stars
5 stars
Non-ranked
  • Source: Insee, territorial partners in geography as of 01/01/2024.

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 star
2 stars
3 stars
4 stars
5 stars
Non-ranked
  • Source: Insee, territorial partners in geography as of 01/01/2024.

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
Tourist accommodations
Holiday villages or private homes
Youth hostels or sports center
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2024.

Voters in 2024

Department of Alpes-Maritimes (06)

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
  • 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.

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 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

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.

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.

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 2010, 2015, 2021: dissemination in the municipalities of France outside Mayotte in geography on 2024;

Vital statistics: distribution to all municipalities in France in geography as of 2024;

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, 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 01/01/2024;

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;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2024

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.