données locales

Paru le : 06/11/2025

Full set of local data Urban unit 2020 of Nantes (44701)

Detailed figures
Paru le :Paru le06/11/2025
- November 2025

The data presented is published in Geography 2024 or 2025, depending on the source.

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

Growth and structure of the population in 2022

Urban unit 2020 of Nantes (44701)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 593 563 100,0 637 739 100,0 683 313 100,0
0 to 14 years old 102 730 17,3 112 447 17,6 117 485 17,2
15 to 29 years old 137 775 23,2 145 210 22,8 156 122 22,8
30 to 44 years old 116 049 19,6 126 866 19,9 141 334 20,7
45 to 59 years old 115 907 19,5 117 211 18,4 120 639 17,7
60 to 74 years old 74 039 12,5 85 383 13,4 92 798 13,6
75 and over 47 063 7,9 50 621 7,9 54 936 8,0
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2011 2016 2022
0 to 14 years old 17,3 17,6 17,2
15 to 29 years old 23,2 22,8 22,8
30 to 44 years old 19,6 19,9 20,7
45 to 59 years old 19,5 18,4 17,7
60 to 74 years old 12,5 13,4 13,6
75 and over 7,9 7,9 8,0
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

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

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
Population and average density 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Population 410 110 459 796 473 858 504 049 554 646 579 048 593 563 637 739 683 313
Average density (inhab / km²) 822,5 922,1 950,3 1 010,9 1 112,4 1 161,3 1 190,4 1 279,0 1 370,4
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % 1,7 0,4 0,8 1,1 0,6 0,5 1,4 1,2
due to the natural balance in % 1,1 0,8 0,7 0,7 0,6 0,6 0,6 0,5
due to the apparent balance of inflows and outflows in % 0,6 –0,4 0,1 0,4 0,0 –0,1 0,9 0,6
Natality rate (‰) 19,9 16,6 14,6 13,7 12,9 12,5 12,7 12,6
Mortality rate (‰) 8,8 8,2 7,6 7,1 6,8 6,7 6,8 7,2
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 330 303 100,0 353 010 100,0
0 to 14 years old 60 437 18,3 57 049 16,2
15 to 29 years old 78 307 23,7 77 814 22,0
30 to 44 years old 71 127 21,5 70 207 19,9
45 to 59 years old 58 603 17,7 62 036 17,6
60 to 74 years old 41 650 12,6 51 148 14,5
75 to 89 years old 18 242 5,5 28 749 8,1
90 years and over 1 938 0,6 6 007 1,7
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T3bis - Population by age and sex in 2022

POP T3bis - Population by age and sex in 2022
Age Male % Female %
Ensemble 330 303 100,0 353 010 100,0
0 to 19 years old 83 836 25,4 80 946 22,9
20 to 64 years old 200 427 60,7 204 274 57,9
65 and over 46 040 13,9 67 789 19,2
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2011 % 2016 % 2022 %
People one year old and over, previously living 586 245 100,0 629 345 100,0 675 357 100,0
In the same house 498 292 85,0 530 524 84,3 581 380 86,1
In another house in the same town 33 272 5,7 42 907 6,8 40 751 6,0
In another town 54 681 9,3 55 914 8,9 53 226 7,9
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 52,4 47,6
15 to 24 years old 35,9 64,1
25 to 54 years old 44,5 55,5
55 years old and over 49,7 50,3
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

POP T5 - Population aged 15 years and over by current or previous socio-professional group
Socioprofessional group 2011 % 2016 % 2022 %
Altogether 490 673 100,0 525 013 100,0 565 502 100,0
Farmer operators 536 0,1 490 0,1 391 0,1
Craftsmen, traders, business leaders 12 893 2,6 15 759 3,0 17 041 3,0
Managers and higher intellectual professions 62 929 12,8 76 552 14,6 102 208 18,1
Middle-level occupations 84 519 17,2 90 603 17,3 96 291 17,0
Services employee 77 388 15,8 78 362 14,9 79 985 14,1
Blue-collar workers 49 840 10,2 47 518 9,1 48 040 8,5
Retirees 114 223 23,3 121 219 23,1 126 519 22,4
Other people with no professional activity 88 344 18,0 94 510 18,0 95 026 16,8
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 270 344 295 158 100,0 100,0 100,0
Farmer operators 296 95 0,0 0,1 0,1
Craftsmen, traders, business leaders 11 658 5 383 0,6 4,8 1,8
Managers and higher intellectual professions 60 333 41 875 4,7 29,8 8,0
Middle-level occupations 42 511 53 781 11,2 26,2 6,5
Services employee 22 775 57 210 15,3 18,9 6,4
Blue-collar workers 38 565 9 476 8,2 11,9 3,6
Retirees 52 944 73 575 0,0 0,1 68,6
Other people with no professional activity 41 263 53 763 60,1 8,3 5,1
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Urban unit 2020 of Nantes (44701)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 275 520 100,0 301 326 100,0 332 257 100,0 578 127 622 111 666 705
One-person households (male and female) 112 266 40,7 128 294 42,6 150 369 45,3 112 266 128 294 150 369
 Single Male 47 157 17,1 55 084 18,3 68 637 20,7 47 157 55 084 68 637
 Single Female 65 108 23,6 73 211 24,3 81 732 24,6 65 108 73 211 81 732
Other households without families 8 427 3,1 8 387 2,8 7 950 2,4 19 399 19 688 18 391
Family households : 154 827 56,2 164 646 54,6 173 938 52,4 446 462 474 129 497 946
 Couple without children 68 145 24,7 71 805 23,8 75 614 22,8 137 946 145 414 153 087
 Couple with children 64 760 23,5 67 828 22,5 69 329 20,9 251 177 263 477 269 304
 Single parent 21 922 8,0 25 013 8,3 28 994 8,7 57 338 65 238 75 554
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Average number of occupants per main residence 3,19 2,94 2,67 2,50 2,29 2,17 2,10 2,06 2,01
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G1 - Growth estimates of households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

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

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2011 2016 2022
15 to 19 years old 12,6 15,0 16,6
20 to 24 years old 33,4 35,6 37,9
25 to 39 years old 22,6 23,5 26,5
40 to 54 years old 16,1 17,7 19,0
55 to 64 years old 22,8 24,4 26,3
65 to 79 years old 28,8 30,0 31,9
80 and above 52,7 51,8 50,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

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

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

FAM G3 - People aged 15 and over reporting living as a couple
2011 2016 2022
15 to 19 years old 2,4 2,1 2,4
20 to 24 years old 24,2 21,9 21,3
25 to 39 years old 64,1 63,4 60,7
40 to 54 years old 71,6 69,4 68,1
55 to 64 years old 71,4 69,4 66,9
65 to 79 years old 67,2 67,2 65,4
80 and above 36,8 38,1 41,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

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

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

FAM G4 - Marital status of the population aged 15 years or over in 2022
%
Married 36,0
Civil partnership 7,8
In cohabitation 11,3
Widowed 5,2
Divorced 6,2
Single 33,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

FAM T2 - Households by socioprofessionnal group of the reference person in 2022
Socioprofessional group Number of households % Household population %
Altogether 332 257 100,0 666 705 100,0
including farmer operators 274 0,1 777 0,1
including craftsmen, traders, business leaders 11 927 3,6 33 089 5,0
including managers and higher intellectual professions 68 617 20,7 164 982 24,7
including intermediate professions 61 178 18,4 131 471 19,7
including employees 50 396 15,2 103 184 15,5
including workers 33 776 10,2 77 561 11,6
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

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

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 0,1
Handicrafters, traders, business leaders 3,6
Managers and higher intellectual professions 20,7
Intermediate professions 18,4
Employees 15,2
Workers 10,2
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

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

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

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 155 273 100,0 165 177 100,0 174 660 100,0
Couple with children 64 833 41,8 67 897 41,1 69 388 39,7
Single parent 22 142 14,3 25 310 15,3 29 409 16,8
 Male single parent 3 464 2,2 4 432 2,7 5 669 3,2
 Female single parent 18 678 12,0 20 878 12,6 23 740 13,6
Couple without children 68 298 44,0 71 970 43,6 75 864 43,4
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2022 %
Altogether 69 388 100,0
Traditional family 63 481 91,5
Blended family 5 906 8,5
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 155 273 100,0 165 177 100,0 174 660 100,0
Without any 73 711 47,5 78 018 47,2 83 206 47,6
1 child 34 479 22,2 36 473 22,1 38 547 22,1
2 children 32 461 20,9 35 015 21,2 37 142 21,3
3 children 11 479 7,4 12 361 7,5 12 012 6,9
4 children or above 3 144 2,0 3 310 2,0 3 753 2,1
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Urban unit 2020 of Nantes (44701)

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

LOG T1 - Growth estimates of the number of housings by category since 1968
Housing category 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Altogether 134 023 167 485 187 313 215 739 253 023 275 542 296 112 327 988 363 106
Principal residences 124 723 151 858 173 057 197 456 236 746 260 306 275 524 301 380 331 882
Second dwellings and occasional dwellings 1 952 2 964 3 469 5 041 3 975 3 672 6 136 9 244 12 343
Vacant accommodations 7 348 12 663 10 787 13 242 12 302 11 564 14 452 17 364 18 881
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.

LOG T1bis - Categories of housings

LOG T1bis - Categories of housings
Category of housing 2011 2016 2022
Principal residences 93,0 91,9 91,4
Second dwellings and occasional dwellings 2,1 2,8 3,4
Vacant dwellings 4,9 5,3 5,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T2 - Types of housings

LOG T2 - Types of housings
Type of housing 2011 % 2016 % 2022 %
Altogether 296 112 100,0 327 988 100,0 363 106 100,0
Houses 126 263 42,6 132 803 40,5 137 684 37,9
Flats 167 537 56,6 192 078 58,6 221 830 61,1
Others 2 312 0,8 3 107 0,9 3 591 1,0
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

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

LOG T2bis - Contributions to the change in the number of principal residences
Contributions 2011-2016 % 2016-2022 %
Total change 25 856 8,7 30 502 9,3
due to the household size effect 4 515 1,5 8 319 2,5
due to the demographic effect 21 341 7,2 22 183 6,8
  • Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
Number of rooms 2011 % 2016 % 2022 %
Altogether 275 524 100,0 301 380 100,0 331 882 100,0
1 room 24 814 9,0 27 243 9,0 29 916 9,0
2 rooms 46 485 16,9 53 763 17,8 63 301 19,1
3 rooms 57 554 20,9 65 275 21,7 74 590 22,5
4 rooms 61 247 22,2 63 534 21,1 65 761 19,8
5 rooms or above 85 424 31,0 91 565 30,4 98 314 29,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 3,7 3,7 3,7
House 5,0 5,0 5,1
Flat 2,8 2,8 2,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4bis - Dwelling occupancy index

LOG T4bis - Dwelling occupancy index
Occupancy index 2011 2016 2022
Standard occupancy 24,8 26,3 27,7
Moderate over-occupation 11,1 10,9 11,1
Severe over-occupation 0,4 0,4 0,4
Moderate under-occupation 24,2 24,1 24,0
Severe under-occupation 19,5 18,0 16,4
Very severe under-occupation 20,0 20,3 20,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 324 863 100,0
Before 1919 19 377 6,0
From 1919 to 1945 16 617 5,1
From 1946 to 1970 62 341 19,2
From 1971 to 1990 95 884 29,5
From 1991 to 2005 58 699 18,1
From 2006 to 2019 71 945 22,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

LOG G1 - Principal residences in 2022 by completion period and housing category
House Flat
Before 1919 9 832 9 461
From 1919 to 1945 10 513 6 032
From 1946 to 1970 24 011 37 831
From 1971 to 1990 44 456 50 863
From 1991 to 2005 22 677 35 130
From 2006 to 2018 18 051 52 965
  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

LOG T6 - Length of residence in the main residences in 2022
Length of residence Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 331 882 100,0 666 726 3,7 1,8
Less than 2 years ago 56 724 17,1 96 869 2,7 1,6
From 2 to 4 years ago 85 552 25,8 170 057 3,1 1,6
From 5 to 9 years ago 62 846 18,9 146 049 3,7 1,6
10 years ago or above 126 760 38,2 253 751 4,5 2,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

LOG G2 - Length of residence of households in 2022
Share of households in%
Less than 2 years ago 17,1
From 2 to 4 years ago 25,8
From 5 to 9 years ago 18,9
From 10 to 19 years ago 15,8
From 20 to 29 years ago 9,5
30 years ago or above 12,9
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

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

LOG T7 - Principal residences by housing tenure

LOG T7 - Principal residences by housing tenure
2011 2016 2022
Housing tenure Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 275 524 100,0 301 380 100,0 331 882 100,0 666 726 12,0
Homeowner 143 992 52,3 155 290 51,5 163 446 49,2 367 754 18,1
Tenant 127 775 46,4 142 300 47,2 164 379 49,5 291 402 6,1
including public tenants 45 560 16,5 48 978 16,3 56 553 17,0 121 559 10,2
Housed for free 3 757 1,4 3 790 1,3 4 057 1,2 7 570 8,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T8M - Comfort of principal residences: primary heating fuel

LOG T8M - Comfort of principal residences: primary heating fuel
Fuel 2011 % 2016 % 2022 %
Town gas - district heating network 161 995 58,8 173 462 57,6 191 881 57,8
Fuel oil 9 842 3,6 7 554 2,5 5 032 1,5
Electricity 94 662 34,4 107 829 35,8 119 505 36,0
Bottled or tank gas 1 686 0,6 1 466 0,5 1 448 0,4
Other (wood, solar, geothermal, etc.) 7 338 2,7 11 069 3,7 14 017 4,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9 - Household automotive equipment

LOG T9 - Household automotive equipment
Equipment 2011 % 2016 % 2022 %
At least one car 220 792 80,1 240 358 79,8 260 419 78,5
 1 car 139 664 50,7 153 228 50,8 171 717 51,7
 2 cars or above 81 129 29,4 87 130 28,9 88 702 26,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9bis - Parking space reserved for personal use

LOG T9bis - Parking space reserved for personal use
Parking space 2011 % 2016 % 2022 %
All principal residences 275 524 100,0 301 380 100,0 331 882 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 180 919 65,7 205 170 68,1 229 479 69,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Urban unit 2020 of Nantes (44701)

FOR T1 - Schooling by age and sex in 2022

FOR T1 - Schooling by age and sex in 2022
Age Total Scholarized population Scholarized population in %
Altogether Male Female
2 to 5 years old 30 947 22 246 71,9 72,0 71,8
6 to 10 years old 39 802 38 689 97,2 97,3 97,1
11 to 14 years old 31 502 30 918 98,1 98,2 98,1
15 to 17 years old 23 969 23 024 96,1 95,3 96,8
18 to 24 years old 80 156 51 705 64,5 61,2 67,7
25 to 29 years old 51 997 6 566 12,6 12,1 13,1
30 years old or above 409 706 5 848 1,4 1,3 1,5
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 73,2 71,6 71,9
6 to 10 years old 98,9 97,5 97,2
11 to 14 years old 99,3 98,5 98,1
15 to 17 years old 97,1 96,8 96,1
18 to 24 years old 65,5 64,8 64,5
25 to 29 years old 11,1 11,9 12,6
30 years old or above 1,3 1,3 1,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR G1 - Schooling rate by age (in %)

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

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

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022
Altogether Male Female
Proportion of unschooled aged 15 years or above 478 685 228 303 250 381
Proportion of graduates in percentage
No diploma or primary education certificate 12,4 10,5 14,2
BEPC brevet des collèges or DNB 4,0 3,4 4,5
CAP, BEP or equivalent 19,1 20,7 17,7
Baccalauréat, brevet professionnel or equivalent 16,3 16,2 16,4
2 years at university 13,5 13,5 13,4
3 to 4 years at university 14,2 12,9 15,4
5 years or more at university 20,5 22,7 18,4
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
2011 2022
No diploma or primary education certificate 18,7 12,4
BEPC brevet des collèges or DNB 5,4 4,0
CAP, BEP or equivalent 23,1 19,1
Baccalauréat, brevet professionnel or equivalent 17,3 16,3
2 years or more at university 35,5 48,1
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

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

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

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

Urban unit 2020 of Nantes (44701)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2011 2016 2022
Altogether 402 549 422 741 451 999
Working age adult in % 71,9 73,8 76,1
 Working age adults with a job in % 63,3 63,8 67,8
 Unemployed workers in % 8,6 10,0 8,3
Economically inactive people in % 28,1 26,2 23,9
 Pupils, students or interns in % 14,3 14,2 13,2
 Retirees in % 7,6 5,7 4,3
 Other economically inactive people in % 6,2 6,3 6,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 451 999 343 821 76,1 306 257 67,8
 15 to 24 years old 104 125 43 087 41,4 34 864 33,5
 25 to 54 years old 276 418 255 320 92,4 229 542 83,0
 55 to 64 years old 71 455 45 415 63,6 41 851 58,6
Male 223 826 175 298 78,3 156 395 69,9
 15 to 24 years old 51 713 22 942 44,4 18 651 36,1
 25 to 54 years old 138 656 130 477 94,1 117 665 84,9
 55 to 64 years old 33 458 21 879 65,4 20 079 60,0
Female 228 172 168 523 73,9 149 862 65,7
 15 to 24 years old 52 412 20 145 38,4 16 214 30,9
 25 to 54 years old 137 763 124 842 90,6 111 877 81,2
 55 to 64 years old 37 997 23 535 61,9 21 771 57,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 67,8
Unemployed workers 8,3
Retirees 4,3
Pupils, students or interns 13,2
Other economically inactive people 6,4
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 289 252 254 957 311 781 269 446 345 164 309 549
including farmer operators 521 478 474 410 374 348
including handicrafters, traders and business leaders 12 697 11 699 15 394 14 315 16 668 15 882
including managers and higher intellectual professions 62 535 59 833 75 888 72 088 101 212 97 187
including intermediate professions 84 091 76 139 90 217 80 586 95 799 88 155
including employees 77 018 66 751 77 758 65 519 79 327 68 672
including workers 49 652 40 056 47 265 36 529 47 522 39 305
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2011 2016 2022
Number of unemployed workers 34 449 42 341 37 564
Unemployment rate in % 11,9 13,6 10,9
Unemployment of the 15-24 aged 23,2 26,3 19,1
Unemployment of the 25-54 aged 10,6 12,3 10,1
Unemployment of the 55-64 aged 7,9 9,3 7,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 27,0
BEPC brevet des collèges or DNB 22,5
CAP, BEP or equivalent 13,6
Baccalauréat, brevet professionnel or equivalent 14,2
2 years at university 7,8
3 to 4 years at university 8,3
5 years or more at university 6,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 324 752 345 673 395 544
Working age adult living in the area 256 508 271 857 309 039
Occupational concentration by industry 126,6 127,2 128,0
employment rate of 15 years old or above in % 59,3 59,8 61,3
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations holdings, place of residence and place of work, geography as of 01/01/2025.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2011 % 2016 % 2022 %
Altogether 324 752 100,0 345 673 100,0 395 544 100,0
Employee 295 869 91,1 312 015 90,3 354 059 89,5
 including women 147 622 45,5 155 756 45,1 174 570 44,1
 including part time jobs 60 959 18,8 60 449 17,5 60 771 15,4
Non-employee 28 883 8,9 33 659 9,7 41 484 10,5
 including women 10 400 3,2 12 845 3,7 17 003 4,3
 including part time jobs 4 390 1,4 5 494 1,6 7 294 1,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 397 723 100,0
Farmer operators 457 0,1
Handicrafters, traders, business leaders 19 279 4,8
Managers and higher intellectual professions 112 979 28,4
Intermediate professions 118 215 29,7
Employees 91 007 22,9
Workers 55 785 14,0
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 0,2 0,2 0,1
Handicrafters, traders, business leaders 4,2 5,0 4,8
Managers and higher intellectual professions 21,5 23,7 28,4
Intermediate professions 30,2 30,4 29,7
Employees 27,0 25,5 22,9
Workers 16,8 15,2 14,0
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

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

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 322 055 100,0 345 560 100,0 397 723 100,0 48,2 90,4
Agriculture 1 464 0,5 1 528 0,4 1 626 0,4 36,8 69,2
Industry 30 600 9,5 29 645 8,6 34 080 8,6 30,9 94,1
Construction 18 658 5,8 19 152 5,5 22 845 5,7 16,4 83,3
Wholesale and retail trade/transports/accommodations and food service activities 173 769 54,0 193 979 56,1 229 197 57,6 44,1 89,6
Public administration/education/human health/social work 97 564 30,3 101 256 29,3 109 975 27,7 69,0 92,9
  • Sources : Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022
Employees Non-employees
Agriculture 45,4 17,5
Industry 30,7 34,6
Construction 18,7 5,1
Wholesale and retail trade, transports, accommodations and food service activities 44,8 38,3
Public administration, education, human health, social work 69,5 63,1
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

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

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

Characteristics of employment in the sense of the census in 2022

Urban unit 2020 of Nantes (44701)

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

ACT T1 - Population aged 15 years or over having a job by status in 2022
Employment status Number % of which % part-time of which % women
Altogether 308 963 100,0 18,3 48,9
Employees 271 896 88,0 18,3 49,8
Non-employees 37 067 12,0 18,2 42,4
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022
Employment status and conditions Male % Female %
Altogether 157 886 100 151 077 100
Employees 136 545 86,5 135 351 89,6
 Tenured personnel and open-ended employment contracts 113 060 71,6 112 011 74,1
 Fixed-term employment contracts 10 872 6,9 15 332 10,1
 Temporary employment 4 834 3,1 1 826 1,2
 Assisted jobs 809 0,5 605 0,4
 Apprentice ship contract - Traineeship 6 971 4,4 5 577 3,7
Non-employees 21 342 13,5 15 726 10,4
 Independents 11 621 7,4 11 667 7,7
 Employers 9 579 6,1 3 862 2,6
 Caregivers 142 0,1 197 0,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022
Age Male of which% part-time Female of which% part-time
Altogether 135 771 9,7 134 505 26,5
15 to 24 years old 17 778 26,5 15 610 36,9
25 to 54 years old 101 651 6,8 99 342 24,1
55 to 64 years old 16 342 9,2 19 554 30,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2011 2016 2022
Male 9,5 9,6 9,9
Female 33,2 30,5 26,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
Work Area 2011 % 2016 % 2022 %
Altogether 256 461 100 271 827 100 308 963 100
Working in their residential zone 108 787 42,4 119 286 43,9 138 748 44,9
Working in another zone 147 675 57,6 152 542 56,1 170 216 55,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

ACT G2 - Proportion of transports used to go to work in 2022
Percentage
None 3,9
Walking 6,0
Bicycle 9,7
Motorized two-wheeled vehicles 1,9
Car or truck 57,8
Public transports 20,7
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

Urban unit 2020 of Nantes (44701)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Domiciled deaths 4 490 4 498 4 568 4 653 4 720 4 970 5 073 5 052 4 934 4 917
Domiciled births 7 920 8 013 8 252 8 240 8 365 8 313 8 391 8 212 7 725 7 619
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

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

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

Household income and poverty in 2021

Urban unit 2020 of Nantes (44701)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 292 976
Number of people in tax households 624 283
Median disposable income (per consumption unit in euros) 24 990
Share of actually taxed tax households (in %) 58,9
  • 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 21,7
30 to 39 years old 14,3
40 to 49 years old 13,7
50 to 59 years old 11,8
60 to 74 years old 9,1
75 and over 7,1
Altogether 12,8
  • 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 5,0
Tenant 27,2
Altogether 12,8
  • 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 80,3
   Wages 72,2
   Unemployment pensions 3,2
   Self-employed income 4,9
Retirement pension or annuity 23,6
Capital income (real estate, financial, others) 8,8
Social benefits 5,1
   Child benefit 1,7
   Income support 2,3
   Housing benefit 1,1
Tax –17,8
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) 24 990
Inter-decile ratio 3,4
1st decile (in euros) 12 720
9th decile (in euros) 43 170
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2023

Urban unit 2020 of Nantes (44701)

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

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023
Altogether Female Male
Altogether 2 703 2 456 2 879
Managerial staff* 3 877 3 535 4 053
Intermediate professions 2 550 2 396 2 685
Employees 1 980 1 964 2 016
Workers 2 002 1 775 2 053
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

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

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

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023
Pay gap (%)
Altogether –14,7
Managerial staff* –12,8
Intermediate professions –10,8
Employees –2,6
Workers –13,5
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

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

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

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023
Age Altogether Female Male
Less than 25 years old 1 831 1 768 1 876
25 to 39 years old 2 467 2 310 2 576
40 to 49 years old 2 945 2 677 3 136
50 to 54 years old 3 080 2 711 3 342
55 years old or older 3 195 2 701 3 564
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023
Pay gap (%)
Less than 25 years old –5,8
25 to 39 years old –10,3
40 to 49 years old –14,6
50 to 54 years old –18,9
55 years old or older –24,2
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

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

Establishment characteristics at the end of 2023

Urban unit 2020 of Nantes (44701)

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 24 151 100,0 2 213 15 752 2 893 1 875 1 418
Agriculture, forestry and fishing 126 0,5 25 86 8 5 2
Industrial economy 1 247 5,2 79 657 230 155 126
Building industry 1 889 7,8 260 1 202 216 134 77
Trade, transport, various services 18 194 75,3 1 738 12 411 1 983 1 278 784
General government, education, healthcare, social action 2 695 11,2 111 1 396 456 303 429
  • 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 398 430 100,0 51 844 39 093 57 609 51 787 198 097
Agriculture, forestry and fishing 626 0,2 251 113 116 146 0
Industrial economy 33 786 8,5 2 760 3 112 4 840 3 719 19 355
Building industry 20 153 5,1 3 844 2 930 4 357 3 437 5 585
Trade, transport, various services 222 223 55,8 40 245 26 703 39 037 28 656 87 582
General government, education, healthcare, social action 121 642 30,5 4 744 6 235 9 259 15 829 85 575
  • 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 11,2
Trade, transport, various services 75,3
Building industry 7,8
Industrial economy 5,2
Agriculture, forestry and fishing 0,5
  • 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 5,9
20 to 49 employees 7,8
10 to 19 employees 12,0
1 to 9 employees 65,2
0 employee 9,2
  • 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 24 151 100,0 398 430 100,0
Productive sphere 9 328 38,6 154 636 38,8
of which public domain 39 0,2 2 223 0,6
Presential sphere 14 823 61,4 243 794 61,2
of which public domain 662 2,7 79 244 19,9
  • 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 42 711 100,0
Employers of childminders 11 938 28,0
Employers of other employees 30 773 72,0
  • 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

Urban unit 2020 of Nantes (44701)

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 11 335 75,6 8,4 14,2 1,8
Industry 493 83,4 5,9 10,8 0,0
Construction 769 52,0 12,5 21,5 14,0
Wholesale and retail trade/transports/accommodations and food service activities 2 590 77,5 8,0 14,3 0,3
Information/communication 984 78,5 5,9 15,5 0,1
Finance and insurance activities 422 14,9 28,4 44,1 12,6
Real estate activities 371 43,1 15,9 38,3 2,7
Professional/scientific/technical activites/administrative and support service activities 2 994 74,8 10,1 14,5 0,5
Public administration/education/healthcare/social work 1 274 93,1 3,4 3,1 0,4
Other service activities 1 438 92,8 3,0 4,2 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 5 707 5 637 6 279 6 200 6 719 7 471 8 034 9 771 9 961 12 251 11 590 10 956 11 335
Sole proprietorship 4 021 4 004 4 583 4 357 4 749 5 274 5 933 7 326 7 538 9 188 8 461 8 252 8 574
SARL 1 238 1 122 1 068 988 916 923 908 1 020 836 1 055 1 043 911 957
SAS 279 376 487 694 853 1 090 1 019 1 225 1 391 1 741 1 824 1 568 1 604
Other societies 169 135 141 161 201 184 174 200 196 267 262 225 200
  • 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 13 102 100,0
Industry 589 4,5
Construction 818 6,2
Wholesale and retail trade/transports/accommodations and food service activities 3 080 23,5
Information/communication 1 076 8,2
Finance and insurance activities 485 3,7
Real estate activities 634 4,8
Professional/scientific/technical activites/administrative and support service activities 3 357 25,6
Public administration/education/healthcare/social work 1 503 11,5
Other service activities by the number of business creations including free lancers 1 560 11,9
  • 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 6 699 6 404 7 112 7 036 7 750 8 520 9 158 11 122 11 056 13 635 12 840 12 240 13 102
  • 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 2023

Urban unit 2020 of Nantes (44701)

DEN T3 - Number of economically active legal units by economic sector in 2023

DEN T3 - Number of economically active legal units by economic sector in 2023
Sector of activity Number %
Altogether 61 393 100,0
Industry 2 831 4,6
Construction 5 005 8,2
Wholesale and retail trade/transports/accommodations and food service activities 10 795 17,6
Information/communication 3 622 5,9
Finance and insurance activities 3 783 6,2
Real estate activities 4 083 6,7
Professional/scientific/technical activites/administrative and support service activities 14 329 23,3
Public administration/education/human health/social work 10 482 17,1
Other service activities 6 463 10,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T4 - Number of economically active establishments by economic sector in 2023

DEN T4 - Number of economically active establishments by economic sector in 2023
Sector of activity Number %
Altogether 71 266 100,0
Industry 3 267 4,6
Construction 5 472 7,7
Wholesale and retail trade/transports/accommodations and food service activities 13 308 18,7
Information/communication 4 303 6,0
Finance and insurance activities 4 469 6,3
Real estate activities 4 402 6,2
Professional/scientific/technical activites/administrative and support service activities 17 348 24,3
Public administration/education/human health/social work 11 685 16,4
Other service activities 7 012 9,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Facilities and services for the population in 2024

Urban unit 2020 of Nantes (44701)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 112
Grocery store, convenience store 242
Bakery and pastry shop 381
Service station 59
Electric vehicle charging station 104
Hair salon 716
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024
Healthcare professionals and pharmacies Number
General practitioner 774
Dentist 487
Physiotherapist 1 227
Nurse 489
Psychologist 745
Pharmacy 171
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T3 - Number of educationals institutions or libraries in 2024

EQUIP T3 - Number of educationals institutions or libraries in 2024
Educational or cultural institutions Number
Nursery and primary school 322
Middle school 69
General and/or technological upper secondary school 33
Vocational or agricultural upper secondary school 36
Library 40
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Urban unit 2020 of Nantes (44701)

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 93 5 536
1 star 9 455
2 stars 25 1 088
3 stars 33 2 156
4 stars 20 1 740
5 stars 1 17
Non-ranked 5 80
  • Source: Insee, territorial partners in geography as of 01/01/2025.

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

TOU T2 - Number and capacity of campsites on the 1st of January 2025
Number of stars Campsites Pitches
Altogether 2 263
1 star 0 0
2 stars 0 0
3 stars 1 111
4 stars 0 0
5 stars 1 152
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2025.

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

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025
Type of accomodation Accommodation Number of bed places (1)
Altogether 34 7 704
Tourist accommodations 32 7 405
Holiday villages or private homes 0 0
Youth hostels or sports center 2 299
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

Définitions

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

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

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

Wage in full-time equivalent (FTE) :

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

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

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

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

Champ

Population censuses

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

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

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

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

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

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

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (Filosofi)

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

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

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

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

All employees databases (BTS)

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

Business Demography Information System (Side)

The indicators relate to the creation and stock of companies and establishments in all non-agricultural productive and market activities. This field includes financial activities.

When referring to enterprises, all counts actually relate to legal units for this source. When a legal unit comprises several establishments, it is located at its head office.

The number of new enterprises or establishments corresponds to the number of legal units or establishments created during year N.

The number of businesses or establishments in year N corresponds to the number of legal units or economically active establishments in N.

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Permanent database of facilities

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

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

Hotel occupancy survey

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

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

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

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

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

Unique electoral register

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

The scope concerns voters registered on the main electoral list.

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

Géographie

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

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

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

All employees databases (BTS), file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2025;

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

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

Business Demography Information System (Side) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2025;

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

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

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Confidentiality and precautions of the All Employees databases (BTS)

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

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

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

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

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

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

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

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