données locales

Paru le : 21/02/2023

Full set of local data inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

Detailed figures
Paru le :Paru le21/02/2023
- February 2023

Growth and structure of the population in 2019

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 77 125 100,0 86 455 100,0 90 562 100,0
0 to 14 years old 14 297 18,5 16 786 19,4 17 869 19,7
15 to 29 years old 15 509 20,1 17 054 19,7 17 137 18,9
30 to 44 years old 17 693 22,9 20 767 24,0 21 818 24,1
45 to 59 years old 15 192 19,7 15 625 18,1 16 611 18,3
60 to 74 years old 9 559 12,4 10 881 12,6 11 292 12,5
75 and over 4 876 6,3 5 343 6,2 5 835 6,4
  • 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 18,5 19,4 19,7
15 to 29 years old 20,1 19,7 18,9
30 to 44 years old 22,9 24,0 24,1
45 to 59 years old 19,7 18,1 18,3
60 to 74 years old 12,4 12,6 12,5
75 and over 6,3 6,2 6,4
  • 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 40 419 53 638 58 040 65 657 68 307 77 125 86 455 90 562
Average density (inhab / km²) 517,0 686,1 742,4 839,8 873,7 986,5 1 105,8 1 158,4
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • 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 % 4,1 1,1 1,6 0,4 1,4 2,3 0,8
due to the natural balance in % 0,9 0,7 0,7 0,7 0,7 0,9 0,9
due to the apparent balance of inflows and outflows in % 3,2 0,4 0,9 –0,3 0,6 1,4 –0,1
Natality rate (‰) 16,9 14,4 14,1 14,1 13,6 14,8 14,9
Mortality rate (‰) 8,0 7,0 7,1 7,0 6,5 6,1 5,9
  • 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 44 535 100,0 46 027 100,0
0 to 14 years old 9 219 20,7 8 650 18,8
15 to 29 years old 8 530 19,2 8 607 18,7
30 to 44 years old 11 038 24,8 10 779 23,4
45 to 59 years old 8 234 18,5 8 377 18,2
60 to 74 years old 5 210 11,7 6 081 13,2
75 to 89 years old 2 148 4,8 3 053 6,6
90 years and over 155 0,3 479 1,0
0 to 19 years old 11 524 25,9 10 759 23,4
20 to 64 years old 27 391 61,5 27 798 60,4
65 and over 5 619 12,6 7 470 16,2
  • 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: 85 090 100,0 89 234 100,0
In the same house 73 103 85,9 77 265 86,6
In another house in the same town 3 288 3,9 3 585 4,0
In another town 8 698 10,2 8 384 9,4
  • 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 36,9 63,1
15 to 24 years old 23,4 76,6
25 to 54 years old 30,0 70,0
55 years old and over 29,6 70,4
  • 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 62 800 100,0 69 720 100,0 72 450 100,0
Farmer operators 90 0,1 53 0,1 104 0,1
Craftsmen, traders, business leaders 2 316 3,7 2 507 3,6 2 571 3,5
Managers and higher intellectual professions 5 089 8,1 6 234 8,9 5 829 8,0
Middle-level occupations 9 928 15,8 11 545 16,6 11 774 16,3
Services employee 12 921 20,6 15 235 21,9 16 264 22,4
Blue-collar workers 9 831 15,7 10 493 15,1 10 463 14,4
Retirees 13 038 20,8 13 457 19,3 13 696 18,9
Other people with no professional activity 9 587 15,3 10 196 14,6 11 750 16,2
  • 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 35 276 37 175 100,0 100,0 100,0
Farmer operators 89 15 0,0 0,2 0,1
Craftsmen, traders, business leaders 1 923 648 1,2 4,5 2,7
Managers and higher intellectual professions 3 496 2 333 2,2 11,3 4,6
Middle-level occupations 5 622 6 152 9,1 23,1 6,6
Services employee 5 116 11 147 22,0 29,6 9,2
Blue-collar workers 8 585 1 879 11,0 19,7 6,1
Retirees 6 035 7 661 0,0 0,1 62,1
Other people without professional activity 4 410 7 341 54,5 11,4 8,7
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 35 693 100,0 39 950 100,0 42 240 100,0 76 299 85 746 89 409
One-person households (male and female) 13 941 39,1 15 850 39,7 17 618 41,7 13 941 15 850 17 618
 Single Male 6 124 17,2 7 023 17,6 8 480 20,1 6 124 7 023 8 480
 Single Female 7 818 21,9 8 827 22,1 9 138 21,6 7 818 8 827 9 138
Other households without families 742 2,1 1 157 2,9 978 2,3 1 712 2 625 2 182
Family households: 21 009 58,9 22 943 57,4 23 644 56,0 60 646 67 271 69 609
 Couple with no children 8 731 24,5 8 960 22,4 9 035 21,4 17 826 18 395 18 589
 Couple with children 8 908 25,0 10 127 25,3 10 265 24,3 33 986 38 980 39 983
 Single parent 3 370 9,4 3 856 9,7 4 344 10,3 8 834 9 896 11 037
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 2,92 2,62 2,46 2,37 2,24 2,14 2,15 2,12
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

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

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

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 2,8 2,3 3,0
20 to 24 years old 19,9 22,0 23,6
25 to 39 years old 20,2 21,1 22,9
40 to 54 years old 18,5 19,6 20,7
55 to 64 years old 26,2 25,9 29,0
65 to 79 years old 33,4 32,3 34,0
80 and over 52,8 53,8 49,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 3,2 2,7 2,7
20 to 24 years old 33,9 31,6 25,2
25 to 39 years old 65,2 64,0 63,1
40 to 54 years old 68,2 66,2 65,6
55 to 64 years old 67,7 65,8 62,9
65 to 79 years old 62,2 62,8 60,8
80 and over 35,0 35,8 40,7
  • 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 42,8
Civil partnership 2,5
In cohabitation 11,7
Widowed 4,9
Divorced 9,0
Single 29,2
  • 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 42 240 100,0 89 409 100,0
Farmer operators 65 0,2 156 0,2
Craftsmen, traders, business leaders 1 863 4,4 5 002 5,6
Managers and higher intellectual professions 4 035 9,6 9 487 10,6
Middle-level occupations 7 700 18,2 17 208 19,2
Services employee 10 074 23,8 21 875 24,5
Blue-collar workers 7 678 18,2 19 261 21,5
Retirees 8 530 20,2 12 628 14,1
Other people with no professional activity 2 296 5,4 3 793 4,2
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,2
Handicrafters, traders, business leaders 4,4
Managers and higher intellectual professions 9,6
Middle-level occupations 18,2
Services employee 23,8
Blue-collar workers 18,2
Retirees 20,2
Unemployed persons 5,4
  • 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 21 173 100,0 23 219 100,0 23 896 100,0
Couple with children 8 943 42,2 10 184 43,9 10 294 43,1
Single parent 3 434 16,2 3 988 17,2 4 483 18,8
Male single parent 473 2,2 599 2,6 801 3,4
Female single parent 2 961 14,0 3 388 14,6 3 682 15,4
Couple with no children 8 795 41,5 9 047 39,0 9 119 38,2
  • 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 21 173 100,0 23 219 100,0 23 896 100,0
No children 9 735 46,0 10 186 43,9 10 494 43,9
1 child 5 385 25,4 6 210 26,7 6 011 25,2
2 children 4 327 20,4 4 809 20,7 5 163 21,6
3 children 1 376 6,5 1 592 6,9 1 657 6,9
4 children and over 350 1,7 423 1,8 572 2,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 15 075 22 888 26 426 30 601 34 670 39 722 44 575 49 322
Main residences 13 613 19 961 23 222 27 255 30 018 35 698 39 893 42 243
Second homes 671 771 1 118 1 457 1 715 1 329 1 691 2 977
Vacant dwellings 791 2 156 2 086 1 889 2 937 2 695 2 991 4 102
  • (*) 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 39 722 100,0 44 575 100,0 49 322 100,0
Main residences 35 698 89,9 39 893 89,5 42 243 85,6
Second homes 1 329 3,3 1 691 3,8 2 977 6,0
Vacant dwellings 2 695 6,8 2 991 6,7 4 102 8,3
Houses 11 357 28,6 12 014 27,0 12 394 25,1
Flats 27 985 70,5 32 124 72,1 36 538 74,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 35 698 100,0 39 893 100,0 42 243 100,0
1 room 3 549 9,9 3 698 9,3 4 192 9,9
2 rooms 6 222 17,4 7 796 19,5 8 420 19,9
3 rooms 9 397 26,3 10 679 26,8 11 737 27,8
4 rooms 8 080 22,6 8 738 21,9 8 809 20,9
5 rooms and over 8 451 23,7 8 983 22,5 9 085 21,5
  • 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 3,5 3,4 3,4
Houses 5,0 5,0 5,1
Flats 2,9 2,9 2,8
  • 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 8,0
Non-over-occupied 92,0
  • 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 40 594 100,0
before 1919 898 2,2
from 1919 to 1945 1 575 3,9
from 1946 to 1970 8 166 20,1
from 1971 to 1990 14 562 35,9
from 1991 to 2005 7 337 18,1
from 2006 to 2015 8 057 19,8
  • 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 599 292
from 1919 to 1945 807 762
from 1946 to 1970 2 244 5 875
from 1971 to 1990 3 682 10 727
from 1991 to 2005 1 905 5 355
from 2006 to 2015 1 264 6 760
  • 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 42 243 100,0 89 435 3,4 1,6
Less than 2 years 6 805 16,1 13 030 2,7 1,4
From 2 to 4 years 10 894 25,8 23 203 2,9 1,4
From 5 to 9 years 8 149 19,3 19 826 3,3 1,4
10 years and over 16 396 38,8 33 376 4,1 2,0
  • 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 16,1
From 2 to 4 years 25,8
From 5 to 9 years 19,3
From 10 to 19 years 18,1
From 20 to 29 years 8,8
30 years and over 11,9
  • 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 35 698 100,0 39 893 100,0 42 243 100,0 89 435 11,8
Homeowner 18 454 51,7 19 497 48,9 19 892 47,1 43 514 17,4
Tenant 16 344 45,8 19 523 48,9 21 492 50,9 44 255 6,6
(including social sector housing) 5 574 15,6 6 496 16,3 6 582 15,6 16 774 10,5
Housed for free 901 2,5 873 2,2 859 2,0 1 666 10,0
  • 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 35 698 100,0 39 893 100,0 42 243 100,0
Bathroom including a shower or a bath 34 483 96,6 38 346 96,1 40 435 95,7
Collective central heating 16 286 45,6 16 849 42,2 18 653 44,2
Individual central heating 10 288 28,8 11 688 29,3 12 894 30,5
Individual electric heating 7 408 20,8 9 309 23,3 9 247 21,9
  • 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 35 698 100,0 39 893 100,0 42 243 100,0
At least one parking spot 24 558 68,8 28 408 71,2 31 192 73,8
At least one car 30 181 84,5 33 347 83,6 35 116 83,1
1 car 18 830 52,7 21 162 53,0 22 238 52,6
2 cars and over 11 351 31,8 12 185 30,5 12 878 30,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 5 166 3 565 69,0 69,3 68,7
6 to 10 years old 5 927 5 742 96,9 96,8 97,0
11 to 14 years old 4 251 4 164 98,0 97,3 98,7
15 to 17 years old 2 846 2 725 95,8 95,9 95,6
18 to 24 years old 6 777 2 638 38,9 36,4 41,5
25 to 29 years old 7 514 476 6,3 4,9 7,6
30 years old and over 55 555 853 1,5 1,4 1,6
  • 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 68,3 66,3 69,0
6 to 10 years old 98,0 97,9 96,9
11 to 14 years old 98,5 97,6 98,0
15 to 17 years old 94,8 93,6 95,8
18 to 24 years old 34,4 37,2 38,9
25 to 29 years old 5,3 5,5 6,3
30 years old and over 0,9 1,2 1,5
  • 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 66 001 32 068 33 934
Proportion of graduates in percentage
No diploma or primary education certificate 21,0 19,2 22,8
BEPC brevet des collèges or DNB 5,1 4,5 5,7
CAP, BEP or equivalent 24,6 28,2 21,3
Baccalauréat, brevet professionnel or equivalent 18,4 18,6 18,3
2 years at university 10,7 9,8 11,6
3 to 4 years at university 9,8 8,4 11,2
5 years and over at university 10,3 11,4 9,3
  • 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 27,4 21,0
BEPC brevet des collèges or DNB 5,7 5,1
CAP, BEP or equivalent 25,9 24,6
Baccalauréat, brevet professionnel or equivalent 16,3 18,4
2 years and over at university 24,7 30,9
  • 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

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 52 652 58 109 59 603
Labor force in % 77,2 79,2 79,3
 including people in work in % 67,7 67,0 66,8
 including unemployed workers in % 9,5 12,2 12,5
Economically inactive people in % 22,8 20,8 20,7
 including pupils, students or interns in % 7,3 7,4 7,5
 including retirees in % 5,9 4,8 3,1
 including other economically inactive people in % 9,6 8,6 10,1
  • 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 59 603 47 284 79,3 39 812 66,8
 15 to 24 years old 9 623 4 706 48,9 3 516 36,5
 25 to 54 years old 40 995 36 627 89,3 31 135 75,9
 55 to 64 years old 8 985 5 951 66,2 5 161 57,4
Male 29 696 24 887 83,8 21 242 71,5
 15 to 24 years old 4 908 2 480 50,5 1 862 37,9
 25 to 54 years old 20 515 19 321 94,2 16 716 81,5
 55 to 64 years old 4 273 3 086 72,2 2 664 62,3
Female 29 907 22 397 74,9 18 570 62,1
 15 to 24 years old 4 715 2 225 47,2 1 654 35,1
 25 to 54 years old 20 480 17 307 84,5 14 419 70,4
 55 to 64 years old 4 712 2 865 60,8 2 497 53,0
  • 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 66,8
Unemployed workers 12,5
Retirees 3,1
Pupils, students or interns 7,5
Other economically inactive people 10,1
  • 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 40 326 35 275 46 252 39 011 47 151 39 856
including
 Farmer operators 78 73 49 49 96 95
 Handicrafters, traders and business leaders 2 269 2 029 2 374 2 087 2 466 2 268
 Managers and higher intellectual professions 5 026 4 822 6 152 5 766 5 726 5 404
 Middle-level occupations 9 891 8 917 11 473 10 234 11 679 10 261
 Services employee 12 886 11 040 15 144 12 415 16 184 13 372
 Blue-collar workers 9 800 8 394 10 450 8 462 10 363 8 457
  • 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 4 991 7 093 7 472
Unemployment rate in % 12,3 15,4 15,8
Unemployment of the 15-24 aged 21,7 25,1 25,3
Unemployment of the 25-54 aged 11,1 14,4 15,0
Unemployment of the 55-64 aged 10,5 13,1 13,3
  • 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 24,2
BEPC brevet des collèges or DNB 23,6
CAP, BEP or equivalent 16,8
Baccalauréat, brevet professionnel or equivalent 16,2
2 years at university 11,6
3 to 4 years at university 12,0
5 years and over at university 9,3
  • 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 28 045 28 674 27 981
People in work living in the area 35 896 39 327 40 268
Employment concentration indicator 78,1 72,9 69,5
Activity rate of 15 years old and over in % 65,1 66,6 65,7
  • 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 28 045 100,0 28 674 100,0 27 981 100,0
Employee 24 597 87,7 25 108 87,6 24 414 87,3
 including women 13 132 46,8 13 531 47,2 13 028 46,6
 including part-time workers 5 109 18,2 5 484 19,1 5 065 18,1
Non-employee 3 448 12,3 3 566 12,4 3 568 12,7
 including women 1 103 3,9 1 238 4,3 1 260 4,5
 including part-time workers 410 1,5 563 2,0 620 2,2
  • 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 28 135 100,0
Farmer operators 89 0,3
Handicrafters, traders, business leaders 2 250 8,0
Managers and higher intellectual professions 3 605 12,8
Middle-level occupations 7 469 26,5
Services employee 9 221 32,8
Blue-collar workers 5 502 19,6
  • 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 0,3 0,3 0,3
Handicrafters, traders, business leaders 7,4 7,2 8,0
Managers and higher intellectual professions 12,1 12,7 12,8
Middle-level occupations 27,0 27,3 26,5
Services employee 31,3 32,3 32,8
Blue-collar workers 21,9 20,1 19,6
  • 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 27 992 100,0 28 458 100,0 28 135 100,0 50,6 87,9
Agriculture 127 0,5 219 0,8 190 0,7 27,9 56,5
Industry 4 432 15,8 3 375 11,9 3 199 11,4 39,9 93,6
Construction 1 723 6,2 1 723 6,1 1 725 6,1 8,0 69,4
Wholesale and retail trade/transports/accommodations and food service activities 14 126 50,5 14 601 51,3 14 453 51,4 47,5 86,6
Public administration/education/healthcare/social work 7 584 27,1 8 539 30,0 8 570 30,5 68,8 92,5
  • 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 40,3 11,9
Industry 40,4 33,1
Construction 10,0 3,2
Wholesale and retail trade, transports, accommodations and food service activities 49,3 35,8
Public administration, education, healthcare, social work 70,7 45,7
  • 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

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 40 264 100,0 23,2 46,6
Employees 36 442 90,5 23,5 47,6
Non-employees 3 821 9,5 19,8 36,5
  • 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 21 511 100 18 752 100
Employees 19 086 88,7 17 356 92,6
 Tenured personnel and open-ended employment contracts 16 563 77,0 14 861 79,3
 Fixed-term employment contracts 1 242 5,8 1 683 9,0
 Temporary employment 819 3,8 432 2,3
 Assisted jobs 59 0,3 85 0,5
 Apprentice ship contract - Traineeship 403 1,9 296 1,6
Non-employees 2 426 11,3 1 396 7,4
 Independents 1 317 6,1 975 5,2
 Employers 1 080 5,0 380 2,0
 Caregivers 28 0,1 40 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 18 966 11,7 17 245 35,9
15 to 24 years old 1 760 24,2 1 606 32,7
25 to 54 years old 14 991 9,9 13 353 35,0
55 to 64 years old 2 215 14,2 2 287 43,8
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 7,5 9,5 12,0
Female 32,1 35,0 36,2
  • 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 35 888 100 39 314 100 40 264 100
working :
in their residential zone 7 920 22,1 8 105 20,6 7 860 19,5
in another zone 27 968 77,9 31 209 79,4 32 404 80,5
  • 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 2,3
Walking 7,4
Bicycle 4,6
Motorized two-wheeled vehicles 5,9
Car or truck 63,2
Public transports 16,7
  • 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

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 503 560 545 522 487 485 627 571
Domiciled births 1 351 1 337 1 308 1 272 1 314 1 400 1 270 1 227
  • 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

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 36 580
Number of people in tax households 79 741
Median disposable income (per consumption unit in euros) 26 500
Share of actually taxed tax households (in %) 42,2
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV 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 16,5
Less than 30 years old 20,0
30 to 39 years old 16,6
40 to 49 years old 18,1
50 to 59 years old 16,5
60 to 74 years old 14,8
75 and over 11,8
  • 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 16,5
Homeowner 6,3
Tenant 27,3
  • 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 84,4
including wages 77,4
including unemployment pensions 4,2
including self-employed income 2,8
Retirement pension or annuity 19,7
Capital income (real estate, financial, others) 7,3
Social benefits 3,4
including child benefit 1,1
including income support 1,5
including housing benefit 0,8
Tax –14,8
  • 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) 26 500
Inter-decile ratio 5,9
1st decile (in euros) 10 850
9th decile (in euros) 63 780
  • 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

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 13,4 12,6 14,0
Managerial staff* 24,0 22,9 24,6
Middle-level occupations 15,1 14,4 15,8
Services employee 11,0 11,0 11,2
Blue-collar workers 12,0 10,6 12,3
  • * 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 –10,0
Managerial staff* –6,9
Middle-level occupations –8,8
Services employee –1,8
Blue-collar workers –14,0
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

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

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

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 10,5 10,3 10,6
26 to 50 years old 13,3 12,6 13,8
50 years old or over 15,1 13,9 16,0
  • 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 –2,8
26 to 50 years old –8,6
50 years old and over –13,5
  • 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

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 2 499 100,0 247 1 792 218 157 85
Agriculture, forestry and fishing 23 0,9 3 16 4 0 0
Industrial economy 117 4,7 4 68 19 13 13
Building industry 275 11,0 55 195 17 7 1
Trade, transport, various services 1 806 72,3 174 1 371 127 97 37
including trade and car repair 682 27,3 65 488 63 46 20
Administration publique, enseignement, santé, action sociale 278 11,1 11 142 51 40 34
  • 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 23 967 100,0 5 771 2 959 4 671 3 232 7 334
Agriculture, forestry and fishing 107 0,4 49 58 0 0 0
Industrial economy 2 996 12,5 250 242 473 638 1 393
Building industry 1 095 4,6 545 242 230 78 0
Trade, transport, various services 12 477 52,1 4 456 1 713 2 779 1 727 1 802
including trade and car repair 6 096 25,4 1 811 829 1 360 879 1 217
Administration publique, enseignement, santé, action sociale 7 292 30,4 471 704 1 189 789 4 139
  • 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* 11,1
Trade, transport, various services* 72,3
Building industry* 11,0
Industrial economy* 4,7
Agriculture, forestry and fishing* 0,9
  • 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 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 3,4
20 to 49 employees 6,3
10 to 19 employees 8,7
1 to 9 employee(s) 71,7
0 employee 9,9
  • 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 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 2 499 100,0 23 967 100,0
Productive sphere* 554 22,2 5 467 22,8
of which public domain* 0 0,0 0 0,0
Presential sphere 1 945 77,8 18 500 77,2
of which public domain* 88 3,5 4 363 18,2
  • 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 T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 2 985 100,0
Employers of childminders 1 132 37,9
Employers of other employees 1 853 62,1
  • 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

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 1 431 100,0 1 058 73,9
Industry 34 2,4 24 70,6
Construction 139 9,7 86 61,9
Wholesale and retail trade/transports/accommodations and food service activities 608 42,5 467 76,8
Information/communication 43 3,0 36 83,7
Finance and insurance activities 28 2,0 4 14,3
Real estate activities 100 7,0 53 53,0
Professional/scientific/technical activites/administrative and support service activities 230 16,1 167 72,6
Public administration/education/healthcare/social work 94 6,6 83 88,3
Other service activities 155 10,8 138 89,0
  • 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 694 698 654 578 574 662 699 962 1 305 1 431
Sole proprietorship 530 522 491 409 409 463 461 720 1 023 1 058
  • 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 6 247 100,0
Industry 252 4,0
Construction 859 13,8
Wholesale and retail trade/transports/accommodations and food service activities 1 996 32,0
Information/communication 150 2,4
Finance and insurance activities 203 3,2
Real estate activities 399 6,4
Professional/scientific/technical activites/administrative and support service activities 927 14,8
Public administration/education/human health/social work 822 13,2
Other service activities 639 10,2
  • 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 1 593 100,0
Industry 46 2,9
Construction 143 9,0
Wholesale and retail trade/transports/accommodations and food service activities 682 42,8
Information/communication 46 2,9
Finance and insurance activities 32 2,0
Real estate activities 114 7,2
Professional/scientific/technical activites/administrative and support service activities 261 16,4
Public administration/education/healthcare/social work 102 6,4
Other service activities by the number of business creations including free lancers 167 10,5
  • 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 800 818 753 656 652 753 782 1 067 1 430 1 593
  • 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 7 198 100,0
Industry 305 4,2
Construction 901 12,5
Wholesale and retail trade/transports/accommodations and food service activities 2 466 34,3
Information/communication 165 2,3
Finance and insurance activities 268 3,7
Real estate activities 454 6,3
Professional/scientific/technical activites/administrative and support service activities 1 038 14,4
Public administration/education/human health/social work 919 12,8
Other service activities 682 9,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

inter-communality metropolis of CA Annemasse-Les Voirons-Agglomération (200011773)

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 20 1 083
1 star 0 0
2 stars 3 137
3 stars 9 574
4 stars 4 214
5 stars 0 0
Non-ranked 4 158
  • 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 0 0
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • 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 4 911
Tourist accommodations 4 911
Holiday villages or private homes 0 0
Youth hostels 0 0
  • (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.