données locales

Paru le : 02/09/2025

Full set of local data Urban unit 2020 of Grenoble (38701)

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

The data presented are disseminated according to the 2025 geography.

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

Growth and structure of the population in 2022

Urban unit 2020 of Grenoble (38701)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 442 720 100,0 449 232 100,0 456 093 100,0
0 to 14 years old 74 894 16,9 77 140 17,2 75 138 16,5
15 to 29 years old 107 427 24,3 104 918 23,4 108 074 23,7
30 to 44 years old 85 653 19,3 84 969 18,9 84 968 18,6
45 to 59 years old 79 519 18,0 79 992 17,8 79 828 17,5
60 to 74 years old 57 959 13,1 62 368 13,9 65 014 14,3
75 and over 37 268 8,4 39 845 8,9 43 072 9,4
  • 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 16,9 17,2 16,5
15 to 29 years old 24,3 23,4 23,7
30 to 44 years old 19,3 18,9 18,6
45 to 59 years old 18,0 17,8 17,5
60 to 74 years old 13,1 13,9 14,3
75 and over 8,4 8,9 9,4
  • 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 340 711 398 009 403 208 413 371 428 177 436 476 442 720 449 232 456 093
Average density (inhab / km²) 951,6 1 111,6 1 126,1 1 154,5 1 195,9 1 219,0 1 236,5 1 254,7 1 273,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • 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 % 2,3 0,2 0,3 0,4 0,3 0,3 0,3 0,3
due to the natural balance in % 1,2 0,9 0,8 0,7 0,7 0,7 0,7 0,4
due to the apparent balance of inflows and outflows in % 1,0 –0,7 –0,5 –0,3 –0,4 –0,4 –0,4 –0,2
Natality rate (‰) 19,6 15,4 14,7 13,6 13,2 13,5 13,4 11,9
Mortality rate (‰) 7,2 6,5 6,6 6,7 6,4 6,4 6,7 7,6
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 222 381 100,0 233 712 100,0
0 to 14 years old 38 371 17,3 36 767 15,7
15 to 29 years old 55 744 25,1 52 330 22,4
30 to 44 years old 42 539 19,1 42 429 18,2
45 to 59 years old 39 252 17,7 40 576 17,4
60 to 74 years old 29 369 13,2 35 645 15,3
75 to 89 years old 15 394 6,9 21 833 9,3
90 years and over 1 713 0,8 4 132 1,8
  • 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 222 381 100,0 233 712 100,0
0 to 19 years old 55 074 24,8 53 144 22,7
20 to 64 years old 132 058 59,4 131 534 56,3
65 and over 35 249 15,9 49 034 21,0
  • 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 436 754 100,0 443 729 100,0 451 179 100,0
In the same house 374 191 85,7 379 651 85,6 391 422 86,8
In another house in the same town 21 591 4,9 23 959 5,4 22 073 4,9
In another town 40 972 9,4 40 120 9,0 37 684 8,4
  • 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 45,4 54,6
15 to 24 years old 29,9 70,1
25 to 54 years old 38,9 61,1
55 years old and over 40,2 59,8
  • 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 367 795 100,0 372 587 100,0 380 894 100,0
Farmer operators 301 0,1 232 0,1 256 0,1
Craftsmen, traders, business leaders 9 824 2,7 10 289 2,8 10 707 2,8
Managers and higher intellectual professions 50 806 13,8 52 566 14,1 60 555 15,9
Middle-level occupations 56 520 15,4 57 237 15,4 57 689 15,1
Services employee 55 906 15,2 56 428 15,1 54 380 14,3
Blue-collar workers 37 147 10,1 33 898 9,1 33 697 8,8
Retirees 84 123 22,9 87 240 23,4 89 163 23,4
Other people with no professional activity 73 167 19,9 74 697 20,0 74 446 19,5
  • 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 183 508 197 386 100,0 100,0 100,0
Farmer operators 176 80 0,0 0,1 0,0
Craftsmen, traders, business leaders 7 662 3 044 0,5 4,5 2,0
Managers and higher intellectual professions 36 070 24 485 4,8 27,1 7,7
Middle-level occupations 26 374 31 315 9,3 24,2 6,9
Services employee 15 550 38 830 13,7 20,4 6,7
Blue-collar workers 27 509 6 188 7,4 13,2 4,1
Retirees 38 225 50 938 0,0 0,1 66,2
Other people with no professional activity 31 940 42 506 64,4 10,3 6,4
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Urban unit 2020 of Grenoble (38701)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 200 457 100,0 208 710 100,0 218 094 100,0 429 005 437 170 444 157
One-person households (male and female) 78 006 38,9 86 277 41,3 96 360 44,2 78 006 86 277 96 360
 Single Male 33 632 16,8 37 621 18,0 43 987 20,2 33 632 37 621 43 987
 Single Female 44 375 22,1 48 656 23,3 52 373 24,0 44 375 48 656 52 373
Other households without families 8 561 4,3 7 801 3,7 6 836 3,1 20 292 18 874 16 309
Family households : 113 889 56,8 114 631 54,9 114 898 52,7 330 707 332 020 331 488
 Couple without children 48 451 24,2 48 425 23,2 49 273 22,6 98 855 98 563 100 585
 Couple with children 47 984 23,9 47 615 22,8 45 609 20,9 185 904 185 153 178 490
 Single parent 17 454 8,7 18 592 8,9 20 017 9,2 45 948 48 304 52 413
  • 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 3,15 2,90 2,70 2,53 2,31 2,20 2,14 2,09 2,04
  • (*) 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 10,6 13,7 15,5
20 to 24 years old 26,3 29,8 32,1
25 to 39 years old 18,3 19,7 22,2
40 to 54 years old 16,0 17,3 18,5
55 to 64 years old 22,9 24,9 27,1
65 to 79 years old 29,1 30,2 32,2
80 and above 50,5 50,8 49,6
  • 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 2,3 2,2 2,8
20 to 24 years old 20,8 19,1 20,1
25 to 39 years old 64,5 63,2 61,1
40 to 54 years old 68,7 67,8 67,3
55 to 64 years old 68,9 67,0 65,4
65 to 79 years old 65,4 65,4 63,9
80 and above 39,3 40,6 42,4
  • 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 37,2
Civil partnership 6,0
In cohabitation 10,6
Widowed 5,5
Divorced 7,2
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 218 094 100,0 444 157 100,0
including farmer operators 166 0,1 461 0,1
including craftsmen, traders, business leaders 7 550 3,5 20 886 4,7
including managers and higher intellectual professions 40 960 18,8 93 880 21,1
including intermediate professions 36 543 16,8 81 866 18,4
including employees 31 819 14,6 71 690 16,1
including workers 23 491 10,8 60 935 13,7
  • 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 3,5
Managers and higher intellectual professions 18,8
Intermediate professions 16,8
Employees 14,6
Workers 10,8
  • 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 114 442 100,0 115 168 100,0 115 582 100,0
Couple with children 48 052 42,0 47 700 41,4 45 695 39,5
Single parent 17 725 15,5 18 837 16,4 20 317 17,6
 Male single parent 3 116 2,7 3 690 3,2 4 052 3,5
 Female single parent 14 609 12,8 15 146 13,2 16 265 14,1
Couple without children 48 665 42,5 48 631 42,2 49 570 42,9
  • 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 45 695 100,0
Traditional family 41 276 90,3
Blended family 4 419 9,7
  • 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 114 442 100,0 115 168 100,0 115 582 100,0
Without any 54 210 47,4 54 975 47,7 56 177 48,6
1 child 25 720 22,5 25 530 22,2 24 660 21,3
2 children 24 101 21,1 23 899 20,8 23 719 20,5
3 children 8 132 7,1 8 331 7,2 8 210 7,1
4 children or above 2 279 2,0 2 433 2,1 2 817 2,4
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Urban unit 2020 of Grenoble (38701)

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 118 003 141 906 155 120 173 611 194 541 204 644 218 043 233 207 247 195
Principal residences 103 975 132 326 144 352 158 240 180 022 192 280 200 516 208 696 217 838
Second dwellings and occasional dwellings 2 738 2 756 3 049 4 840 3 568 2 634 3 167 5 547 6 580
Vacant accommodations 11 290 6 824 7 719 10 531 10 951 9 730 14 360 18 963 22 776
  • (*) 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 92,0 89,5 88,1
Second dwellings and occasional dwellings 1,5 2,4 2,7
Vacant dwellings 6,6 8,1 9,2
  • 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 218 043 100,0 233 207 100,0 247 195 100,0
Houses 47 407 21,7 48 428 20,8 49 718 20,1
Flats 167 655 76,9 181 856 78,0 194 572 78,7
Others 2 982 1,4 2 923 1,3 2 904 1,2
  • 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 8 180 3,8 9 142 3,9
due to the household size effect 4 379 2,0 5 717 2,5
due to the demographic effect 3 801 1,7 3 426 1,5
  • 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 200 516 100,0 208 696 100,0 217 838 100,0
1 room 18 863 9,4 19 745 9,5 19 790 9,1
2 rooms 29 849 14,9 31 562 15,1 34 170 15,7
3 rooms 49 481 24,7 53 278 25,5 57 381 26,3
4 rooms 53 889 26,9 55 065 26,4 56 304 25,8
5 rooms or above 48 434 24,2 49 046 23,5 50 193 23,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 3,6 3,5 3,5
House 5,1 5,1 5,1
Flat 3,2 3,1 3,1
  • 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 26,3 26,7 26,6
Moderate over-occupation 12,6 12,4 12,0
Severe over-occupation 0,6 0,5 0,6
Moderate under-occupation 27,5 27,4 28,0
Severe under-occupation 18,8 18,5 18,3
Very severe under-occupation 14,3 14,5 14,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 214 784 100,0
Before 1919 10 985 5,1
From 1919 to 1945 12 391 5,8
From 1946 to 1970 65 248 30,4
From 1971 to 1990 63 338 29,5
From 1991 to 2005 30 103 14,0
From 2006 to 2019 32 719 15,2
  • 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 4 217 6 654
From 1919 to 1945 3 801 8 477
From 1946 to 1970 9 684 55 194
From 1971 to 1990 16 634 45 942
From 1991 to 2005 7 245 22 335
From 2006 to 2018 4 762 27 383
  • 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 217 838 100,0 444 084 3,5 1,7
Less than 2 years ago 35 989 16,5 64 794 2,7 1,5
From 2 to 4 years ago 52 700 24,2 108 643 3,1 1,5
From 5 to 9 years ago 37 933 17,4 90 760 3,5 1,5
10 years ago or above 91 217 41,9 179 888 4,1 2,1
  • 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 16,5
From 2 to 4 years ago 24,2
From 5 to 9 years ago 17,4
From 10 to 19 years ago 16,6
From 20 to 29 years ago 10,0
30 years ago or above 15,2
  • 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 200 516 100,0 208 696 100,0 217 838 100,0 444 084 13,2
Homeowner 101 929 50,8 105 903 50,7 108 978 50,0 234 470 19,3
Tenant 93 926 46,8 98 535 47,2 104 395 47,9 201 143 7,0
including public tenants 32 682 16,3 33 652 16,1 36 435 16,7 86 266 11,3
Housed for free 4 661 2,3 4 258 2,0 4 466 2,1 8 472 9,3
  • 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 124 862 62,3 132 490 63,5 139 851 64,2
Fuel oil 12 339 6,2 9 488 4,5 7 054 3,2
Electricity 54 858 27,4 57 048 27,3 60 213 27,6
Bottled or tank gas 1 665 0,8 1 696 0,8 1 497 0,7
Other (wood, solar, geothermal, etc.) 6 792 3,4 7 974 3,8 9 225 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 155 348 77,5 160 612 77,0 164 821 75,7
 1 car 98 937 49,3 103 703 49,7 108 453 49,8
 2 cars or above 56 410 28,1 56 909 27,3 56 368 25,9
  • 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 200 516 100,0 208 696 100,0 217 838 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 104 836 52,3 111 405 53,4 117 645 54,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Urban unit 2020 of Grenoble (38701)

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 19 609 14 117 72,0 72,1 71,8
6 to 10 years old 25 423 24 606 96,8 96,5 97,1
11 to 14 years old 20 532 20 140 98,1 98,1 98,0
15 to 17 years old 15 601 14 891 95,4 95,0 95,9
18 to 24 years old 59 139 40 036 67,7 64,6 71,0
25 to 29 years old 33 334 5 330 16,0 16,3 15,6
30 years old or above 272 881 4 218 1,5 1,4 1,6
  • 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 70,0 71,1 72,0
6 to 10 years old 98,2 97,3 96,8
11 to 14 years old 99,1 98,3 98,1
15 to 17 years old 96,3 95,9 95,4
18 to 24 years old 68,4 69,8 67,7
25 to 29 years old 16,0 16,4 16,0
30 years old or above 1,5 1,6 1,5
  • 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 316 480 152 133 164 347
Proportion of graduates in percentage
No diploma or primary education certificate 17,6 16,3 18,8
BEPC brevet des collèges or DNB 4,0 3,5 4,3
CAP, BEP or equivalent 18,3 20,3 16,3
Baccalauréat, brevet professionnel or equivalent 15,5 15,2 15,8
2 years at university 11,9 11,1 12,7
3 to 4 years at university 11,9 9,8 13,9
5 years or more at university 20,8 23,6 18,1
  • 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 24,4 17,6
BEPC brevet des collèges or DNB 4,8 4,0
CAP, BEP or equivalent 18,1 18,3
Baccalauréat, brevet professionnel or equivalent 15,4 15,5
2 years or more at university 37,3 44,6
  • 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 Grenoble (38701)

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 295 861 293 348 296 672
Working age adult in % 71,3 72,0 73,3
 Working age adults with a job in % 62,9 62,6 65,2
 Unemployed workers in % 8,4 9,4 8,2
Economically inactive people in % 28,7 28,0 26,7
 Pupils, students or interns in % 15,5 16,0 15,4
 Retirees in % 6,2 5,1 4,1
 Other economically inactive people in % 7,0 6,9 7,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 296 672 217 498 73,3 193 308 65,2
 15 to 24 years old 74 740 28 409 38,0 22 627 30,3
 25 to 54 years old 171 706 155 815 90,7 140 027 81,6
 55 to 64 years old 50 226 33 274 66,2 30 654 61,0
Male 148 760 112 977 75,9 100 919 67,8
 15 to 24 years old 38 377 15 676 40,8 12 583 32,8
 25 to 54 years old 86 421 80 917 93,6 73 307 84,8
 55 to 64 years old 23 963 16 384 68,4 15 029 62,7
Female 147 912 104 521 70,7 92 389 62,5
 15 to 24 years old 36 363 12 733 35,0 10 044 27,6
 25 to 54 years old 85 286 74 898 87,8 66 720 78,2
 55 to 64 years old 26 263 16 890 64,3 15 625 59,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 65,2
Unemployed workers 8,2
Retirees 4,1
Pupils, students or interns 15,4
Other economically inactive people 7,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 211 064 186 285 211 247 183 782 217 519 194 076
including farmer operators 244 242 208 191 228 219
including handicrafters, traders and business leaders 9 580 8 909 9 932 9 129 10 260 9 753
including managers and higher intellectual professions 50 204 48 060 51 739 49 305 59 441 57 040
including intermediate professions 56 156 51 321 56 675 51 283 57 160 52 824
including employees 55 509 47 820 55 833 47 137 53 594 46 400
including workers 36 961 29 933 33 593 26 737 33 320 27 839
  • 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 24 766 27 621 24 190
Unemployment rate in % 11,7 13,1 11,1
Unemployment of the 15-24 aged 23,9 25,3 20,4
Unemployment of the 25-54 aged 10,2 11,9 10,1
Unemployment of the 55-64 aged 7,3 8,6 7,9
  • 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 23,7
BEPC brevet des collèges or DNB 18,6
CAP, BEP or equivalent 13,5
Baccalauréat, brevet professionnel or equivalent 13,5
2 years at university 7,6
3 to 4 years at university 8,2
5 years or more at university 6,5
  • 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 231 241 228 776 240 402
Working age adult living in the area 187 934 186 180 196 342
Occupational concentration by industry 123,0 122,9 122,4
employment rate of 15 years old or above in % 57,8 57,5 57,9
  • 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 231 241 100,0 228 776 100,0 240 402 100,0
Employee 209 579 90,6 206 195 90,1 214 408 89,2
 including women 101 815 44,0 100 546 43,9 104 095 43,3
 including part time jobs 43 329 18,7 41 737 18,2 39 900 16,6
Non-employee 21 662 9,4 22 581 9,9 25 994 10,8
 including women 7 722 3,3 8 238 3,6 10 000 4,2
 including part time jobs 3 239 1,4 3 616 1,6 4 697 2,0
  • 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 239 912 100,0
Farmer operators 266 0,1
Handicrafters, traders, business leaders 12 314 5,1
Managers and higher intellectual professions 72 013 30,0
Intermediate professions 67 602 28,2
Employees 55 126 23,0
Workers 32 591 13,6
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 0,2 0,1 0,1
Handicrafters, traders, business leaders 4,7 4,9 5,1
Managers and higher intellectual professions 26,2 27,3 30,0
Intermediate professions 28,2 28,8 28,2
Employees 24,9 24,9 23,0
Workers 15,7 14,0 13,6
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

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

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 230 280 100,0 229 032 100,0 239 912 100,0 47,4 90,2
Agriculture 580 0,3 439 0,2 478 0,2 31,9 49,8
Industry 33 043 14,3 30 416 13,3 31 990 13,3 28,9 95,8
Construction 12 706 5,5 11 945 5,2 12 799 5,3 12,2 75,8
Wholesale and retail trade/transports/accommodations and food service activities 111 489 48,4 110 264 48,1 115 806 48,3 42,9 88,7
Public administration/education/human health/social work 72 462 31,5 75 968 33,2 78 840 32,9 67,3 92,8
  • 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 25,9 37,8
Industry 29,0 26,0
Construction 14,5 5,1
Wholesale and retail trade, transports, accommodations and food service activities 43,8 35,8
Public administration, education, human health, social work 67,8 61,1
  • 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 Grenoble (38701)

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 196 316 100,0 19,2 47,7
Employees 174 116 88,7 19,3 48,8
Non-employees 22 200 11,3 18,8 39,3
  • 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 102 579 100 93 737 100
Employees 89 105 86,9 85 011 90,7
 Tenured personnel and open-ended employment contracts 72 129 70,3 68 554 73,1
 Fixed-term employment contracts 9 968 9,7 11 945 12,7
 Temporary employment 2 526 2,5 929 1,0
 Assisted jobs 413 0,4 464 0,5
 Apprentice ship contract - Traineeship 4 069 4,0 3 119 3,3
Non-employees 13 473 13,1 8 726 9,3
 Independents 7 382 7,2 6 366 6,8
 Employers 5 897 5,7 2 221 2,4
 Caregivers 194 0,2 139 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 88 279 9,2 84 081 29,2
15 to 24 years old 11 960 23,0 9 657 41,5
25 to 54 years old 63 879 6,6 60 456 26,9
55 to 64 years old 12 440 9,0 13 968 31,0
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2011 2016 2022
Male 8,7 9,3 9,4
Female 33,9 32,7 29,6
  • 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 187 852 100 186 155 100 196 316 100
Working in their residential zone 63 261 33,7 64 493 34,6 66 294 33,8
Working in another zone 124 590 66,3 121 663 65,4 130 022 66,2
  • 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 3,6
Walking 7,8
Bicycle 13,4
Motorized two-wheeled vehicles 0,9
Car or truck 54,8
Public transports 19,4
  • 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 Grenoble (38701)

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 3 061 3 152 3 339 3 213 3 381 4 066 3 566 3 738 3 454 3 541
Domiciled births 5 802 5 707 5 721 5 470 5 282 5 172 5 012 4 947 4 659 4 784
  • 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 Grenoble (38701)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 195 226
Number of people in tax households 412 994
Median disposable income (per consumption unit in euros) 24 110
Share of actually taxed tax households (in %) 57,8
  • 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

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Less than 30 years old 25,4
30 to 39 years old 17,1
40 to 49 years old 16,8
50 to 59 years old 13,8
60 to 74 years old 9,9
75 and over 9,2
Altogether 14,9
  • 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

  • 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 29,1
Altogether 14,9
  • 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 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 76,2
   Wages 69,4
   Unemployment pensions 2,6
   Self-employed income 4,2
Retirement pension or annuity 26,9
Capital income (real estate, financial, others) 9,1
Social benefits 5,3
   Child benefit 1,8
   Income support 2,3
   Housing benefit 1,2
Tax –17,5
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) 24 110
Inter-decile ratio 3,5
1st decile (in euros) 12 070
9th decile (in euros) 42 790
  • 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 Grenoble (38701)

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 2 968 2 637 3 185
Managerial staff* 4 292 3 821 4 530
Intermediate professions 2 659 2 475 2 810
Employees 1 994 1 972 2 038
Workers 2 097 1 832 2 147
  • * 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 –17,2
Managerial staff* –15,7
Intermediate professions –11,9
Employees –3,3
Workers –14,7
  • * 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 1 842 1 780 1 885
25 to 39 years old 2 563 2 408 2 665
40 to 49 years old 3 217 2 875 3 440
50 to 54 years old 3 499 2 984 3 820
55 years old or older 3 629 2 962 4 067
  • 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 –5,5
25 to 39 years old –9,7
40 to 49 years old –16,4
50 to 54 years old –21,9
55 years old or older –27,2
  • 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 Grenoble (38701)

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 15 840 100,0 1 481 10 880 1 599 1 146 734
Agriculture, forestry and fishing 39 0,2 7 29 1 1 1
Industrial economy 1 052 6,6 51 597 159 137 108
Building industry 1 622 10,2 215 1 142 133 102 30
Trade, transport, various services 11 188 70,6 1 124 8 031 1 032 664 337
General government, education, healthcare, social action 1 939 12,2 84 1 081 274 242 258
  • 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 244 541 100,0 34 380 21 459 35 155 27 883 125 664
Agriculture, forestry and fishing 224 0,1 73 11 40 0 100
Industrial economy 33 857 13,8 2 297 2 172 4 103 3 062 22 223
Building industry 10 688 4,4 3 294 1 737 2 986 1 607 1 064
Trade, transport, various services 113 221 46,3 24 960 13 778 20 534 12 575 41 374
General government, education, healthcare, social action 86 551 35,4 3 756 3 761 7 492 10 639 60 903
  • 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 12,2
Trade, transport, various services 70,6
Building industry 10,2
Industrial economy 6,6
Agriculture, forestry and fishing 0,2
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

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

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

RES G2 - Distribution of establishments by workforce size at the end of 2023
%
50 or more employees 4,6
20 to 49 employees 7,2
10 to 19 employees 10,1
1 to 9 employees 68,7
0 employee 9,3
  • 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 15 840 100,0 244 541 100,0
Productive sphere 5 360 33,8 100 089 40,9
of which public domain 30 0,2 5 516 2,3
Presential sphere 10 480 66,2 144 452 59,1
of which public domain 648 4,1 62 138 25,4
  • 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 24 109 100,0
Employers of childminders 5 885 24,4
Employers of other employees 18 224 75,6
  • 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 Grenoble (38701)

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 7 209 78,0 6,5 14,6 0,9
Industry 303 85,5 3,6 10,9 0,0
Construction 641 61,5 11,9 21,2 5,5
Wholesale and retail trade/transports/accommodations and food service activities 1 812 78,0 5,8 16,1 0,1
Information/communication 548 83,4 3,1 13,3 0,2
Finance and insurance activities 208 6,7 19,7 66,8 6,7
Real estate activities 216 59,7 16,2 22,7 1,4
Professional/scientific/technical activites/administrative and support service activities 1 834 78,8 7,0 14,1 0,2
Public administration/education/healthcare/social work 810 92,3 3,6 3,8 0,2
Other service activities 837 91,3 3,2 5,3 0,2
  • 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 4 013 4 026 4 270 3 846 4 169 4 797 5 572 6 479 6 584 7 395 7 059 6 759 7 209
Sole proprietorship 2 856 2 914 3 067 2 641 2 923 3 482 4 316 5 122 5 242 5 690 5 435 5 344 5 624
SARL 844 672 593 500 430 424 399 398 363 471 459 391 469
SAS 210 337 519 620 701 774 740 827 884 1 104 1 037 946 1 054
Other societies 103 103 91 85 115 117 117 132 95 130 128 78 62
  • 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 8 308 100,0
Industry 359 4,3
Construction 710 8,5
Wholesale and retail trade/transports/accommodations and food service activities 2 199 26,5
Information/communication 569 6,8
Finance and insurance activities 221 2,7
Real estate activities 420 5,1
Professional/scientific/technical activites/administrative and support service activities 2 007 24,2
Public administration/education/healthcare/social work 915 11,0
Other service activities by the number of business creations including free lancers 908 10,9
  • 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 4 685 4 622 4 802 4 461 4 697 5 373 6 136 7 073 7 148 7 995 7 719 7 342 8 308
  • 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

Urban unit 2020 of Grenoble (38701)

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 38 098 100,0
Industry 1 941 5,1
Construction 4 554 12,0
Wholesale and retail trade/transports/accommodations and food service activities 7 763 20,4
Information/communication 1 713 4,5
Finance and insurance activities 1 495 3,9
Real estate activities 2 454 6,4
Professional/scientific/technical activites/administrative and support service activities 7 632 20,0
Public administration/education/human health/social work 6 990 18,3
Other service activities 3 556 9,3
  • 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 43 327 100,0
Industry 2 254 5,2
Construction 4 847 11,2
Wholesale and retail trade/transports/accommodations and food service activities 9 143 21,1
Information/communication 2 014 4,6
Finance and insurance activities 1 818 4,2
Real estate activities 2 597 6,0
Professional/scientific/technical activites/administrative and support service activities 9 065 20,9
Public administration/education/human health/social work 7 733 17,8
Other service activities 3 856 8,9
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Facilities and services for the population in 2024

Urban unit 2020 of Grenoble (38701)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 71
Grocery store, convenience store 267
Bakery and pastry shop 271
Service station 45
Electric vehicle charging station 66
Hair salon 581
  • 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 526
Dentist 285
Physiotherapist 965
Nurse 680
Psychologist 399
Pharmacy 153
  • 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 275
Middle school 44
General and/or technological upper secondary school 24
Vocational or agricultural upper secondary school 9
Library 61
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Urban unit 2020 of Grenoble (38701)

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 55 3 064
1 star 3 176
2 stars 8 544
3 stars 23 1 114
4 stars 13 984
5 stars 0 0
Non-ranked 8 246
  • 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 3 137
1 star 0 0
2 stars 1 64
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 2 73
  • 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 13 2 834
Tourist accommodations 12 2 704
Holiday villages or private homes 0 0
Youth hostels or sports center 1 130
  • (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 inventory of businesses and establishments in all non-agricultural productive and market activities. This scope includes financial activities.

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

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

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

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Permanent database of facilities

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

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

Hotel occupancy survey

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

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

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

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

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

Unique electoral register

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

The scope concerns voters registered on the main electoral list.

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

Géographie

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

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

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

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

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

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

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

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

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

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Confidentiality and precautions of the All Employees databases (BTS)

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

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

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

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

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

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

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

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