données locales

Paru le : 21/02/2023

Full set of local data Employment area 2020 of La Tarentaise (8413)

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

Growth and structure of the population in 2019

Employment area 2020 of La Tarentaise (8413)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 111 318 100,0 113 156 100,0 113 382 100,0
0 to 14 years old 20 879 18,8 20 862 18,4 19 657 17,3
15 to 29 years old 19 159 17,2 18 166 16,1 16 791 14,8
30 to 44 years old 25 128 22,6 23 727 21,0 22 250 19,6
45 to 59 years old 23 437 21,1 24 449 21,6 25 041 22,1
60 to 74 years old 14 277 12,8 16 601 14,7 19 154 16,9
75 and over 8 438 7,6 9 350 8,3 10 488 9,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 18,8 18,4 17,3
15 to 29 years old 17,2 16,1 14,8
30 to 44 years old 22,6 21,0 19,6
45 to 59 years old 21,1 21,6 22,1
60 to 74 years old 12,8 14,7 16,9
75 and over 7,6 8,3 9,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 82 295 86 287 89 905 96 884 101 575 111 318 113 156 113 382
Average density (inhab / km²) 34,0 35,7 37,1 40,0 42,0 46,0 46,8 46,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 0,7 0,6 0,9 0,5 1,0 0,3 0,0
due to the natural balance in % 0,7 0,5 0,5 0,5 0,5 0,4 0,2
due to the apparent balance of inflows and outflows in % –0,0 0,1 0,5 0,0 0,5 –0,1 –0,2
Natality rate (‰) 16,9 13,9 13,5 13,1 12,8 11,8 10,5
Mortality rate (‰) 10,0 9,4 8,7 8,2 7,9 7,6 8,1
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 56 459 100,0 56 923 100,0
0 to 14 years old 9 975 17,7 9 683 17,0
15 to 29 years old 8 989 15,9 7 802 13,7
30 to 44 years old 11 196 19,8 11 054 19,4
45 to 59 years old 12 745 22,6 12 296 21,6
60 to 74 years old 9 460 16,8 9 695 17,0
75 to 89 years old 3 736 6,6 5 444 9,6
90 years and over 359 0,6 949 1,7
0 to 19 years old 13 264 23,5 12 528 22,0
20 to 64 years old 33 311 59,0 31 986 56,2
65 and over 9 884 17,5 12 408 21,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 111 825 100,0 112 291 100,0
In the same house 97 990 87,6 100 063 89,1
In another house in the same town 5 874 5,3 5 165 4,6
In another town 7 961 7,1 7 063 6,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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 45,2 54,8
15 to 24 years old 35,4 64,6
25 to 54 years old 43,9 56,1
55 years old and over 39,4 60,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 90 586 100,0 92 073 100,0 93 753 100,0
Farmer operators 608 0,7 547 0,6 559 0,6
Craftsmen, traders, business leaders 5 302 5,9 5 276 5,7 5 520 5,9
Managers and higher intellectual professions 4 444 4,9 4 699 5,1 5 190 5,5
Middle-level occupations 14 438 15,9 15 128 16,4 15 784 16,8
Services employee 17 065 18,8 17 542 19,1 16 316 17,4
Blue-collar workers 14 047 15,5 14 013 15,2 13 563 14,5
Retirees 21 814 24,1 23 276 25,3 24 921 26,6
Other people with no professional activity 12 868 14,2 11 591 12,6 11 901 12,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 46 324 47 429 100,0 100,0 100,0
Farmer operators 444 115 0,3 0,8 0,4
Craftsmen, traders, business leaders 3 773 1 747 0,7 9,0 3,6
Managers and higher intellectual professions 2 968 2 222 0,4 8,6 3,3
Middle-level occupations 8 320 7 464 9,8 27,0 6,6
Services employee 3 399 12 918 16,9 25,7 7,6
Blue-collar workers 11 128 2 435 17,6 21,4 5,3
Retirees 11 684 13 238 0,0 0,2 65,7
Other people without professional activity 4 610 7 291 54,2 7,3 7,5
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Employment area 2020 of La Tarentaise (8413)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 47 896 100,0 50 490 100,0 52 206 100,0 108 495 110 981 111 307
One-person households (male and female) 16 007 33,4 17 719 35,1 19 491 37,3 16 007 17 719 19 491
 Single Male 7 863 16,4 8 332 16,5 9 515 18,2 7 863 8 332 9 515
 Single Female 8 143 17,0 9 386 18,6 9 976 19,1 8 143 9 386 9 976
Other households without families 947 2,0 966 1,9 794 1,5 2 242 2 297 1 854
Family households: 30 943 64,6 31 806 63,0 31 922 61,1 90 246 90 965 89 962
 Couple with no children 12 869 26,9 13 797 27,3 14 131 27,1 26 218 28 187 28 841
 Couple with children 14 347 30,0 13 844 27,4 13 214 25,3 54 464 52 263 49 629
 Single parent 3 727 7,8 4 164 8,2 4 576 8,8 9 564 10 515 11 492
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 3,26 3,07 2,78 2,57 2,37 2,27 2,20 2,13
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 1,9 2,1 1,6
20 to 24 years old 16,0 16,9 16,8
25 to 39 years old 15,4 16,3 17,4
40 to 54 years old 14,3 15,6 16,3
55 to 64 years old 19,5 21,5 24,2
65 to 79 years old 28,8 28,5 29,1
80 and over 50,3 48,2 50,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 2,7 2,7 2,3
20 to 24 years old 30,7 31,8 26,6
25 to 39 years old 69,4 69,6 68,8
40 to 54 years old 73,9 72,5 71,6
55 to 64 years old 74,1 72,2 70,0
65 to 79 years old 64,4 65,8 66,6
80 and over 32,7 37,8 37,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 42,7
Civil partnership 5,6
In cohabitation 13,0
Widowed 7,1
Divorced 6,4
Single 25,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM T2 - Households by socioprofessional classification of the reference person in 2019

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 52 206 100,0 111 307 100,0
Farmer operators 394 0,8 1 008 0,9
Craftsmen, traders, business leaders 3 732 7,1 9 800 8,8
Managers and higher intellectual professions 3 495 6,7 8 845 7,9
Middle-level occupations 9 787 18,7 23 429 21,0
Services employee 8 859 17,0 20 260 18,2
Blue-collar workers 9 147 17,5 22 374 20,1
Retirees 14 995 28,7 22 717 20,4
Other people with no professional activity 1 798 3,4 2 874 2,6
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,8
Handicrafters, traders, business leaders 7,1
Managers and higher intellectual professions 6,7
Middle-level occupations 18,7
Services employee 17,0
Blue-collar workers 17,5
Retirees 28,7
Unemployed persons 3,4
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 31 081 100,0 31 978 100,0 32 126 100,0
Couple with children 14 367 46,2 13 873 43,4 13 244 41,2
Single parent 3 791 12,2 4 222 13,2 4 646 14,5
Male single parent 628 2,0 869 2,7 1 188 3,7
Female single parent 3 163 10,2 3 353 10,5 3 459 10,8
Couple with no children 12 923 41,6 13 883 43,4 14 236 44,3
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM T4 - Families by number of children under 25 years old

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 31 081 100,0 31 978 100,0 32 126 100,0
No children 14 731 47,4 15 537 48,6 16 332 50,8
1 child 7 113 22,9 7 461 23,3 7 219 22,5
2 children 6 711 21,6 6 703 21,0 6 338 19,7
3 children 2 059 6,6 1 881 5,9 1 819 5,7
4 children and over 468 1,5 396 1,2 417 1,3
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Employment area 2020 of La Tarentaise (8413)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Altogether 36 467 53 901 74 459 99 715 113 788 128 806 136 596 142 532
Main residences 24 396 27 204 31 539 37 093 41 898 47 907 50 491 52 244
Second homes 8 585 19 524 39 426 59 592 68 468 76 625 79 734 84 158
Vacant dwellings 3 486 7 173 3 494 3 030 3 422 4 274 6 371 6 130
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2008 % 2013 % 2019 %
Altogether 128 806 100,0 136 596 100,0 142 532 100,0
Main residences 47 907 37,2 50 491 37,0 52 244 36,7
Second homes 76 625 59,5 79 734 58,4 84 158 59,0
Vacant dwellings 4 274 3,3 6 371 4,7 6 130 4,3
Houses 36 882 28,6 39 486 28,9 41 160 28,9
Flats 89 793 69,7 95 207 69,7 100 127 70,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 47 907 100,0 50 491 100,0 52 244 100,0
1 room 2 386 5,0 2 307 4,6 2 086 4,0
2 rooms 6 254 13,1 6 633 13,1 6 841 13,1
3 rooms 11 239 23,5 11 549 22,9 11 927 22,8
4 rooms 12 743 26,6 13 431 26,6 14 007 26,8
5 rooms and over 15 286 31,9 16 571 32,8 17 383 33,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 3,9 3,9 4,0
Houses 4,7 4,8 4,8
Flats 3,1 3,1 3,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 3,4
Non-over-occupied 96,6
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG T5 - Main residences in 2019 by completion period

LOG T5 - Main residences in 2019 by completion period
Number %
Principal residences build before 2016 51 142 100,0
before 1919 4 403 8,6
from 1919 to 1945 2 429 4,7
from 1946 to 1970 10 887 21,3
from 1971 to 1990 16 092 31,5
from 1991 to 2005 10 119 19,8
from 2006 to 2015 7 212 14,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 3 177 1 195
from 1919 to 1945 1 444 966
from 1946 to 1970 4 685 6 117
from 1971 to 1990 7 488 8 403
from 1991 to 2005 5 485 4 554
from 2006 to 2015 3 686 3 465
  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T6 - Main residence tenure in 2019

LOG T6 - Main residence tenure in 2019
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 52 244 100,0 111 394 4,0 1,9
Less than 2 years 6 297 12,1 13 013 3,2 1,6
From 2 to 4 years 10 023 19,2 22 508 3,5 1,5
From 5 to 9 years 8 888 17,0 21 490 3,8 1,6
10 years and over 27 036 51,7 54 382 4,3 2,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 12,1
From 2 to 4 years 19,2
From 5 to 9 years 17,0
From 10 to 19 years 19,7
From 20 to 29 years 11,8
30 years and over 20,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 47 907 100,0 50 491 100,0 52 244 100,0 111 394 16,3
Homeowner 27 576 57,6 29 322 58,1 31 208 59,7 68 910 21,5
Tenant 17 829 37,2 18 638 36,9 18 868 36,1 38 250 8,3
(including social sector housing) 8 159 17,0 8 159 16,2 8 278 15,8 17 816 11,5
Housed for free 2 502 5,2 2 530 5,0 2 168 4,1 4 234 11,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2008 % 2013 % 2019 %
Altogether 47 907 100,0 50 491 100,0 52 244 100,0
Bathroom including a shower or a bath 46 716 97,5 49 131 97,3 50 723 97,1
Collective central heating 10 907 22,8 11 200 22,2 11 604 22,2
Individual central heating 14 843 31,0 14 856 29,4 16 122 30,9
Individual electric heating 13 087 27,3 14 537 28,8 15 579 29,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2008 % 2013 % 2019 %
Altogether 47 907 100,0 50 491 100,0 52 244 100,0
At least one parking spot 34 213 71,4 36 466 72,2 38 406 73,5
At least one car 41 870 87,4 44 617 88,4 46 697 89,4
1 car 23 440 48,9 24 593 48,7 25 565 48,9
2 cars and over 18 430 38,5 20 024 39,7 21 132 40,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Employment area 2020 of La Tarentaise (8413)

FOR T1 - Enrollment by age and sex in 2019

FOR T1 - Enrollment by age and sex in 2019
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 5 007 3 603 72,0 70,6 73,4
6 to 10 years old 6 950 6 790 97,7 97,5 97,9
11 to 14 years old 5 495 5 419 98,6 98,4 98,9
15 to 17 years old 4 290 4 121 96,1 96,0 96,1
18 to 24 years old 6 467 1 942 30,0 28,6 31,9
25 to 29 years old 6 034 175 2,9 2,3 3,5
30 years old and over 76 934 532 0,7 0,7 0,7
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 72,9 72,1 72,0
6 to 10 years old 99,1 98,8 97,7
11 to 14 years old 99,4 99,4 98,6
15 to 17 years old 96,5 96,7 96,1
18 to 24 years old 29,9 29,8 30,0
25 to 29 years old 2,2 2,1 2,9
30 years old and over 0,6 0,6 0,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 86 955 42 987 43 967
Proportion of graduates in percentage
No diploma or primary education certificate 19,6 17,1 22,0
BEPC brevet des collèges or DNB 5,7 4,6 6,7
CAP, BEP or equivalent 30,5 37,2 23,9
Baccalauréat, brevet professionnel or equivalent 18,3 18,2 18,3
2 years at university 11,6 10,3 12,8
3 to 4 years at university 8,5 6,6 10,2
5 years and over at university 6,0 5,9 6,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 27,8 19,6
BEPC brevet des collèges or DNB 6,5 5,7
CAP, BEP or equivalent 29,3 30,5
Baccalauréat, brevet professionnel or equivalent 17,1 18,3
2 years and over at university 19,4 26,0
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

Labor force, employment and unemployment within the sense of the census in 2019

Employment area 2020 of La Tarentaise (8413)

EMP T1 - Population aged 15 to 64 by economic activity status

EMP T1 - Population aged 15 to 64 by economic activity status
2008 2013 2019
Altogether 73 442 73 406 71 432
Labor force in % 76,2 77,9 78,7
 including people in work in % 71,8 72,3 72,9
 including unemployed workers in % 4,4 5,6 5,8
Economically inactive people in % 23,8 22,1 21,3
 including pupils, students or interns in % 7,2 6,6 7,1
 including retirees in % 7,9 7,8 7,0
 including other economically inactive people in % 8,8 7,6 7,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 71 432 56 215 78,7 52 088 72,9
 15 to 24 years old 10 757 5 204 48,4 4 365 40,6
 25 to 54 years old 45 236 41 978 92,8 39 230 86,7
 55 to 64 years old 15 440 9 033 58,5 8 493 55,0
Male 36 601 29 593 80,9 27 627 75,5
 15 to 24 years old 5 839 3 023 51,8 2 562 43,9
 25 to 54 years old 22 944 21 875 95,3 20 631 89,9
 55 to 64 years old 7 818 4 696 60,1 4 434 56,7
Female 34 832 26 622 76,4 24 461 70,2
 15 to 24 years old 4 918 2 181 44,3 1 803 36,7
 25 to 54 years old 22 292 20 104 90,2 18 599 83,4
 55 to 64 years old 7 622 4 337 56,9 4 059 53,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 72,9
Unemployed workers 5,8
Retirees 7,0
Pupils, students or interns 7,1
Other economically inactive people 7,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 55 740 52 550 56 913 52 811 56 431 52 250
including
 Farmer operators 585 584 518 517 549 548
 Handicrafters, traders and business leaders 5 210 5 070 5 158 5 044 5 298 5 169
 Managers and higher intellectual professions 4 394 4 304 4 593 4 422 5 096 4 931
 Middle-level occupations 14 341 13 847 15 001 14 276 15 598 14 880
 Services employee 17 028 15 847 17 439 15 870 16 140 14 673
 Blue-collar workers 14 007 12 898 13 927 12 682 13 457 12 049
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 3 239 4 112 4 126
Unemployment rate in % 5,8 7,2 7,3
Unemployment of the 15-24 aged 11,9 15,8 16,1
Unemployment of the 25-54 aged 5,0 6,2 6,5
Unemployment of the 55-64 aged 4,8 6,1 6,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 15,8
BEPC brevet des collèges or DNB 10,6
CAP, BEP or equivalent 7,8
Baccalauréat, brevet professionnel or equivalent 6,7
2 years at university 4,5
3 to 4 years at university 4,3
5 years and over at university 5,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 57 113 57 587 57 672
People in work living in the area 53 052 53 653 52 924
Employment concentration indicator 107,7 107,3 109,0
Activity rate of 15 years old and over in % 62,2 62,6 60,9
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 57 113 100,0 57 587 100,0 57 672 100,0
Employee 47 113 82,5 46 712 81,1 46 422 80,5
 including women 21 973 38,5 22 773 39,5 22 535 39,1
 including part-time workers 9 442 16,5 9 073 15,8 8 385 14,5
Non-employee 10 000 17,5 10 875 18,9 11 250 19,5
 including women 3 240 5,7 3 689 6,4 3 994 6,9
 including part-time workers 1 613 2,8 1 906 3,3 1 924 3,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 57 762 100,0
Farmer operators 574 1,0
Handicrafters, traders, business leaders 5 505 9,5
Managers and higher intellectual professions 5 319 9,2
Middle-level occupations 16 431 28,4
Services employee 16 877 29,2
Blue-collar workers 13 056 22,6
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 1,1 0,9 1,0
Handicrafters, traders, business leaders 9,4 9,4 9,5
Managers and higher intellectual professions 8,0 8,3 9,2
Middle-level occupations 26,2 26,9 28,4
Services employee 31,4 31,2 29,2
Blue-collar workers 23,9 23,2 22,6
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 57 063 100,0 57 508 100,0 57 762 100,0 45,7 81,9
Agriculture 909 1,6 850 1,5 865 1,5 23,3 34,4
Industry 6 227 10,9 6 136 10,7 5 986 10,4 20,7 94,0
Construction 4 897 8,6 4 636 8,1 4 768 8,3 9,4 72,8
Wholesale and retail trade/transports/accommodations and food service activities 30 050 52,7 31 578 54,9 30 894 53,5 48,2 82,3
Public administration/education/healthcare/social work 14 980 26,3 14 307 24,9 15 247 26,4 63,0 81,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 30,8 19,3
Industry 19,8 35,3
Construction 11,4 3,9
Wholesale and retail trade, transports, accommodations and food service activities 50,2 38,7
Public administration, education, healthcare, social work 68,9 36,2
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

Characteristics of employment in the sense of the census in 2019

Employment area 2020 of La Tarentaise (8413)

ACT T1 - Population aged 15 years or over having a job by status in 2019

ACT T1 - Population aged 15 years or over having a job by status in 2019
Number % of which% part-time of which% women
Altogether 52 917 100,0 17,6 46,9
Employees 42 359 80,0 18,0 49,6
Non-employees 10 558 20,0 16,1 35,9
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 28 115 100 24 801 100
Employees 21 352 75,9 21 006 84,7
 Tenured personnel and open-ended employment contracts 15 606 55,5 14 775 59,6
 Fixed-term employment contracts 4 624 16,4 5 707 23,0
 Temporary employment 510 1,8 108 0,4
 Assisted jobs 86 0,3 144 0,6
 Apprentice ship contract - Traineeship 526 1,9 273 1,1
Non-employees 6 763 24,1 3 795 15,3
 Independents 3 884 13,8 2 399 9,7
 Employers 2 854 10,1 1 340 5,4
 Caregivers 25 0,1 55 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 21 166 6,7 20 806 28,9
15 to 24 years old 2 310 15,2 1 657 27,3
25 to 54 years old 15 905 4,9 15 860 27,5
55 to 64 years old 2 952 9,7 3 288 36,5
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 7,0 6,8 7,1
Female 34,3 32,5 29,2
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 53 042 100 53 630 100 52 917 100
working :
in their residential zone 25 882 48,8 25 464 47,5 24 302 45,9
in another zone 27 159 51,2 28 166 52,5 28 615 54,1
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 5,5
Walking 12,0
Bicycle 1,1
Motorized two-wheeled vehicles 0,5
Car or truck 75,4
Public transports 5,4
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

Births and Deaths of people with usual residence in the area, 2014-2021

Employment area 2020 of La Tarentaise (8413)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021
Domiciled deaths 820 936 878 975 958 1 001 1 200 1 006
Domiciled births 1 273 1 213 1 160 1 142 1 156 1 048 974 1 048
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2022.

Household income and poverty in 2020

Employment area 2020 of La Tarentaise (8413)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 51 001
Number of people in tax households 110 132
Median disposable income (per consumption unit in euros) 22 810
Share of actually taxed tax households (in %) 54,9
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 11,2
Less than 30 years old 15,4
30 to 39 years old 13,1
40 to 49 years old 13,5
50 to 59 years old 11,0
60 to 74 years old 8,1
75 and over 8,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 11,2
Homeowner 6,3
Tenant 20,0
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 72,6
including wages 61,0
including unemployment pensions 4,0
including self-employed income 7,6
Retirement pension or annuity 27,4
Capital income (real estate, financial, others) 11,9
Social benefits 4,0
including child benefit 1,7
including income support 1,6
including housing benefit 0,7
Tax –15,9
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 22 810
Inter-decile ratio 2,9
1st decile (in euros) 12 950
9th decile (in euros) 37 400
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

Employment area 2020 of La Tarentaise (8413)

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 15,2 13,4 16,4
Managerial staff* 24,7 21,2 26,5
Middle-level occupations 16,5 14,7 17,8
Services employee 12,2 11,9 13,0
Blue-collar workers 14,0 11,3 14,4
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –18,3
Managerial staff* –20,1
Middle-level occupations –17,0
Services employee –8,4
Blue-collar workers –21,5
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL T1 - Average net hourly wage (in euros) by age in 2020

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 11,2 10,4 11,7
26 to 50 years old 15,1 13,4 16,1
50 years old or over 17,1 14,4 18,9
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –11,6
26 to 50 years old –16,8
50 years old and over –23,9
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

Characteristics of establishments at the end of 2020

Employment area 2020 of La Tarentaise (8413)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 7 456 100,0 1 491 5 100 452 282 131
Agriculture, forestry and fishing 180 2,4 92 85 3 0 0
Industrial economy 348 4,7 30 216 46 40 16
Building industry 768 10,3 160 506 60 32 10
Trade, transport, various services 5 549 74,4 1 151 3 910 295 141 52
including trade and car repair 1 477 19,8 235 1 103 82 41 16
Administration publique, enseignement, santé, action sociale 611 8,2 58 383 48 69 53
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 47 172 100,0 14 420 5 982 8 594 5 018 13 158
Agriculture, forestry and fishing 173 0,4 142 31 0 0 0
Industrial economy 5 978 12,7 826 592 1 219 439 2 902
Building industry 4 057 8,6 1 494 822 967 553 221
Trade, transport, various services 26 130 55,4 10 680 3 917 4 219 1 710 5 604
including trade and car repair 7 020 14,9 3 419 1 086 1 241 760 514
Administration publique, enseignement, santé, action sociale 10 834 23,0 1 278 620 2 189 2 316 4 431
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 8,2
Trade, transport, various services* 74,4
Building industry* 10,3
Industrial economy* 4,7
Agriculture, forestry and fishing* 2,4
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 1,8
20 to 49 employees 3,8
10 to 19 employees 6,1
1 to 9 employee(s) 68,4
0 employee 20,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 7 456 100,0 47 172 100,0
Productive sphere* 1 415 19,0 10 191 21,6
of which public domain* 1 0,0 8 0,0
Presential sphere 6 041 81,0 36 981 78,4
of which public domain* 311 4,2 8 440 17,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 7 456 100,0 47 172 100,0
Agriculture, forestry and fishing 180 2,4 173 0,4
Manufacture of food, drink and tobacco products 119 1,6 870 1,8
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 13 0,2 232 0,5
Manufacture of transport equipment 1 0,0 1 0,0
Manufacture of other industrial products 149 2,0 3 888 8,2
Extractive industries, energy, water, waste management and pollution control 66 0,9 987 2,1
Building industry 768 10,3 4 057 8,6
Trade ; repair of automobiles and motorcycles 1 477 19,8 7 020 14,9
Transportation and warehousing 242 3,2 4 818 10,2
Accommodation and catering 1 677 22,5 6 671 14,1
Information and communication 47 0,6 141 0,3
Financial and insurance activities 213 2,9 745 1,6
Real estate activities 314 4,2 1 038 2,2
Scientific and technical activities; administrative and support services 1 092 14,6 3 824 8,1
General government, education, human healthcare and social action 611 8,2 10 834 23,0
Other service activities 487 6,5 1 873 4,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 4 934 100,0
Employers of childminders 2 408 48,8
Employers of other employees 2 526 51,2
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

Employment area 2020 of La Tarentaise (8413)

DEN T1 - Business set-ups by sector of activity in 2021

DEN T1 - Business set-ups by sector of activity in 2021
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 2 094 100,0 1 419 67,8
Industry 93 4,4 70 75,3
Construction 235 11,2 160 68,1
Wholesale and retail trade/transports/accommodations and food service activities 463 22,1 230 49,7
Information/communication 59 2,8 54 91,5
Finance and insurance activities 34 1,6 3 8,8
Real estate activities 185 8,8 54 29,2
Professional/scientific/technical activites/administrative and support service activities 470 22,4 340 72,3
Public administration/education/healthcare/social work 294 14,0 278 94,6
Other service activities 261 12,5 230 88,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 1 475 1 399 1 491 1 415 1 360 1 398 1 666 1 828 1 815 2 094
Sole proprietorship 1 091 1 026 1 072 987 945 941 1 184 1 281 1 318 1 419
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T3 - Number of legal units by economic sector on the 31st of December 2020

DEN T3 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 18 443 100,0
Industry 671 3,6
Construction 2 145 11,6
Wholesale and retail trade/transports/accommodations and food service activities 4 642 25,2
Information/communication 201 1,1
Finance and insurance activities 411 2,2
Real estate activities 1 256 6,8
Professional/scientific/technical activites/administrative and support service activities 2 264 12,3
Public administration/education/human health/social work 5 416 29,4
Other service activities 1 437 7,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T4 - Business set-ups by economic sectors in 2021

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 2 535 100,0
Industry 114 4,5
Construction 262 10,3
Wholesale and retail trade/transports/accommodations and food service activities 657 25,9
Information/communication 67 2,6
Finance and insurance activities 36 1,4
Real estate activities 237 9,3
Professional/scientific/technical activites/administrative and support service activities 516 20,4
Public administration/education/healthcare/social work 350 13,8
Other service activities by the number of business creations including free lancers 296 11,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 2 023 1 830 1 926 1 820 1 785 1 912 2 122 2 288 2 237 2 535
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T5 - Number of legal units by economic sector on the 31st of December 2020

DEN T5 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 22 742 100,0
Industry 943 4,1
Construction 2 413 10,6
Wholesale and retail trade/transports/accommodations and food service activities 6 828 30,0
Information/communication 233 1,0
Finance and insurance activities 522 2,3
Real estate activities 1 701 7,5
Professional/scientific/technical activites/administrative and support service activities 2 684 11,8
Public administration/education/human health/social work 5 819 25,6
Other service activities 1 599 7,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Employment area 2020 of La Tarentaise (8413)

TOU T1 - Number and capacity of hotels on the 1st of January 2023

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 264 10 414
1 star 3 131
2 stars 40 1 235
3 stars 80 3 383
4 stars 57 2 930
5 stars 39 1 696
Non-ranked 45 1 039
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T2 - Number and capacity of campsites on the 1st of January 2023

TOU T2 - Number and capacity of campsites on the 1st of January 2023
Campsites Pitch
Altogether 27 1 993
1 star 3 244
2 stars 9 709
3 stars 7 449
4 stars 2 337
5 stars 0 0
Non-ranked 6 254
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 230 80 346
Tourist accommodations 170 58 222
Holiday villages or private homes 51 19 669
Youth hostels 9 2 455
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2022.

Définitions

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

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

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

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

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

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

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

Champ

Population censuses

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

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

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

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

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

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

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

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

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

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

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

All employees databases

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units and the creation of businesses and establishments of all non-agricultural market activities. This field includes financial activities.

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

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

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

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Hotel occupancy survey

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

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

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

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

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

Géographie

Population censuses 2008, 2013, 2019: dissemination in the municipalities of France outside Mayotte in geography on 01/01/2022;

Vital statistics: distribution to all municipalities in France in geography as of 01/01/2022;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2022;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2022;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2022;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2022

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

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

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

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