données locales

Paru le : 21/02/2023

Full set of local data Employment area 2020 of Vitré (5319)

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

Growth and structure of the population in 2019

Employment area 2020 of Vitré (5319)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 87 000 100,0 91 801 100,0 95 380 100,0
0 to 14 years old 19 156 22,0 20 538 22,4 20 418 21,4
15 to 29 years old 15 305 17,6 14 597 15,9 14 888 15,6
30 to 44 years old 19 478 22,4 19 781 21,5 19 138 20,1
45 to 59 years old 15 827 18,2 17 442 19,0 19 418 20,4
60 to 74 years old 9 788 11,3 10 980 12,0 12 926 13,6
75 and over 7 446 8,6 8 463 9,2 8 592 9,0
  • 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 22,0 22,4 21,4
15 to 29 years old 17,6 15,9 15,6
30 to 44 years old 22,4 21,5 20,1
45 to 59 years old 18,2 19,0 20,4
60 to 74 years old 11,3 12,0 13,6
75 and over 8,6 9,2 9,0
  • 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 62 703 63 419 66 643 70 637 75 676 87 000 91 801 95 380
Average density (inhab / km²) 56,7 57,4 60,3 63,9 68,5 78,7 83,1 86,3
  • (*) 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 % 0,2 0,7 0,7 0,8 1,6 1,1 0,6
due to the natural balance in % 0,7 0,6 0,5 0,5 0,7 0,7 0,4
due to the apparent balance of inflows and outflows in % –0,6 0,2 0,2 0,3 0,8 0,4 0,3
Natality rate (‰) 18,1 16,1 14,7 13,8 15,5 14,8 12,1
Mortality rate (‰) 10,8 10,6 9,4 8,7 8,3 7,9 8,4
  • 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 47 617 100,0 47 763 100,0
0 to 14 years old 10 384 21,8 10 034 21,0
15 to 29 years old 7 747 16,3 7 140 14,9
30 to 44 years old 9 591 20,1 9 547 20,0
45 to 59 years old 10 072 21,2 9 346 19,6
60 to 74 years old 6 364 13,4 6 562 13,7
75 to 89 years old 3 147 6,6 4 262 8,9
90 years and over 312 0,7 872 1,8
0 to 19 years old 13 445 28,2 12 913 27,0
20 to 64 years old 26 889 56,5 25 638 53,7
65 and over 7 282 15,3 9 212 19,3
  • 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: 90 473 100,0 94 331 100,0
In the same house 81 223 89,8 84 862 90,0
In another house in the same town 2 668 2,9 2 589 2,7
In another town 6 583 7,3 6 881 7,3
  • 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 31,3 68,7
15 to 24 years old 19,5 80,5
25 to 54 years old 26,9 73,1
55 years old and over 34,5 65,5
  • 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 67 970 100,0 71 260 100,0 74 785 100,0
Farmer operators 2 262 3,3 1 896 2,7 1 985 2,7
Craftsmen, traders, business leaders 2 302 3,4 2 317 3,3 2 359 3,2
Managers and higher intellectual professions 3 576 5,3 4 040 5,7 4 553 6,1
Middle-level occupations 8 686 12,8 10 072 14,1 11 044 14,8
Services employee 10 560 15,5 11 389 16,0 11 792 15,8
Blue-collar workers 14 949 22,0 15 647 22,0 15 140 20,2
Retirees 17 902 26,3 18 280 25,7 19 384 25,9
Other people with no professional activity 7 733 11,4 7 617 10,7 8 529 11,4
  • 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 37 198 37 586 100,0 100,0 100,0
Farmer operators 1 318 667 0,1 3,4 2,5
Craftsmen, traders, business leaders 1 634 725 0,4 4,9 1,8
Managers and higher intellectual professions 2 817 1 736 0,9 10,4 2,0
Middle-level occupations 5 455 5 589 8,0 24,1 4,4
Services employee 2 106 9 686 13,7 23,2 6,4
Blue-collar workers 11 115 4 025 20,3 29,7 7,2
Retirees 9 035 10 349 0,0 0,1 70,8
Other people without professional activity 3 719 4 811 56,7 4,3 4,9
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Employment area 2020 of Vitré (5319)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 34 321 100,0 36 649 100,0 38 991 100,0 85 232 90 015 93 345
One-person households (male and female) 9 461 27,6 10 353 28,2 11 740 30,1 9 461 10 353 11 740
 Single Male 4 482 13,1 5 216 14,2 5 853 15,0 4 482 5 216 5 853
 Single Female 4 979 14,5 5 136 14,0 5 887 15,1 4 979 5 136 5 887
Other households without families 491 1,4 555 1,5 451 1,2 1 223 1 384 1 093
Family households: 24 369 71,0 25 742 70,2 26 800 68,7 74 548 78 279 80 512
 Couple with no children 10 113 29,5 10 782 29,4 11 347 29,1 20 479 21 835 22 879
 Couple with children 12 504 36,4 12 894 35,2 12 867 33,0 49 399 50 993 50 835
 Single parent 1 752 5,1 2 066 5,6 2 586 6,6 4 671 5 450 6 798
  • 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 3,31 3,20 2,99 2,82 2,60 2,48 2,45 2,40
  • (*) 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 2,2 2,8 2,7
20 to 24 years old 14,6 15,0 14,1
25 to 39 years old 11,4 11,1 12,1
40 to 54 years old 9,7 10,6 12,2
55 to 64 years old 13,3 16,0 16,8
65 to 79 years old 24,0 22,3 22,9
80 and over 50,0 48,3 48,5
  • 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 1,7 1,4 1,1
20 to 24 years old 37,1 35,8 31,3
25 to 39 years old 79,5 79,1 77,8
40 to 54 years old 82,9 81,3 79,0
55 to 64 years old 82,0 78,9 79,4
65 to 79 years old 69,9 72,9 73,1
80 and over 34,5 39,1 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 48,0
Civil partnership 7,4
In cohabitation 11,3
Widowed 6,6
Divorced 4,2
Single 22,6
  • 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 38 991 100,0 93 345 100,0
Farmer operators 1 356 3,5 3 946 4,2
Craftsmen, traders, business leaders 1 572 4,0 4 782 5,1
Managers and higher intellectual professions 2 876 7,4 8 515 9,1
Middle-level occupations 6 301 16,2 17 722 19,0
Services employee 5 588 14,3 14 814 15,9
Blue-collar workers 9 562 24,5 25 171 27,0
Retirees 10 823 27,8 16 955 18,2
Other people with no professional activity 913 2,3 1 441 1,5
  • 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 3,5
Handicrafters, traders, business leaders 4,0
Managers and higher intellectual professions 7,4
Middle-level occupations 16,2
Services employee 14,3
Blue-collar workers 24,5
Retirees 27,8
Unemployed persons 2,3
  • 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 24 415 100,0 25 793 100,0 26 866 100,0
Couple with children 12 511 51,2 12 898 50,0 12 876 47,9
Single parent 1 772 7,3 2 087 8,1 2 637 9,8
Male single parent 302 1,2 430 1,7 675 2,5
Female single parent 1 469 6,0 1 657 6,4 1 962 7,3
Couple with no children 10 132 41,5 10 808 41,9 11 353 42,3
  • 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 24 415 100,0 25 793 100,0 26 866 100,0
No children 11 215 45,9 11 821 45,8 12 389 46,1
1 child 4 612 18,9 4 743 18,4 4 990 18,6
2 children 5 531 22,7 6 098 23,6 6 403 23,8
3 children 2 510 10,3 2 651 10,3 2 578 9,6
4 children and over 547 2,2 480 1,9 506 1,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Employment area 2020 of Vitré (5319)

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 19 976 21 547 24 734 27 712 31 139 37 588 40 467 43 178
Main residences 18 379 19 250 21 691 24 432 28 352 34 327 36 651 39 019
Second homes 605 844 1 420 1 353 1 216 929 858 903
Vacant dwellings 992 1 453 1 623 1 927 1 571 2 332 2 959 3 256
  • (*) 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 37 588 100,0 40 467 100,0 43 178 100,0
Main residences 34 327 91,3 36 651 90,6 39 019 90,4
Second homes 929 2,5 858 2,1 903 2,1
Vacant dwellings 2 332 6,2 2 959 7,3 3 256 7,5
Houses 31 260 83,2 33 602 83,0 35 812 82,9
Flats 6 146 16,4 6 699 16,6 7 061 16,4
  • 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 34 327 100,0 36 651 100,0 39 019 100,0
1 room 686 2,0 510 1,4 555 1,4
2 rooms 3 168 9,2 3 155 8,6 3 219 8,2
3 rooms 5 722 16,7 6 041 16,5 6 091 15,6
4 rooms 7 520 21,9 7 746 21,1 8 328 21,3
5 rooms and over 17 230 50,2 19 200 52,4 20 827 53,4
  • 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 4,5 4,6 4,6
Houses 4,9 5,0 5,0
Flats 2,7 2,8 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 1,1
Non-over-occupied 98,9
  • 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 37 949 100,0
before 1919 5 742 15,1
from 1919 to 1945 2 192 5,8
from 1946 to 1970 4 343 11,4
from 1971 to 1990 10 659 28,1
from 1991 to 2005 8 626 22,7
from 2006 to 2015 6 388 16,8
  • 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 5 156 554
from 1919 to 1945 1 933 256
from 1946 to 1970 3 520 804
from 1971 to 1990 8 801 1 696
from 1991 to 2005 7 318 1 285
from 2006 to 2015 5 190 1 179
  • 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 39 019 100,0 93 476 4,6 1,9
Less than 2 years 4 484 11,5 9 594 3,8 1,8
From 2 to 4 years 7 219 18,5 17 238 4,1 1,7
From 5 to 9 years 6 472 16,6 18 013 4,6 1,7
10 years and over 20 843 53,4 48 630 5,0 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 11,5
From 2 to 4 years 18,5
From 5 to 9 years 16,6
From 10 to 19 years 22,0
From 20 to 29 years 12,1
30 years and over 19,4
  • 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 34 327 100,0 36 651 100,0 39 019 100,0 93 476 16,0
Homeowner 22 893 66,7 25 067 68,4 27 208 69,7 69 980 20,0
Tenant 11 111 32,4 11 284 30,8 11 477 29,4 22 835 6,8
(including social sector housing) 3 295 9,6 3 210 8,8 3 204 8,2 6 353 9,2
Housed for free 323 0,9 299 0,8 334 0,9 661 12,9
  • 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 34 327 100,0 36 651 100,0 39 019 100,0
Bathroom including a shower or a bath 33 414 97,3 35 570 97,1 38 160 97,8
Collective central heating 1 291 3,8 1 161 3,2 1 162 3,0
Individual central heating 15 554 45,3 15 181 41,4 17 129 43,9
Individual electric heating 12 439 36,2 13 589 37,1 13 628 34,9
  • 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 34 327 100,0 36 651 100,0 39 019 100,0
At least one parking spot 26 457 77,1 28 675 78,2 31 609 81,0
At least one car 30 779 89,7 33 167 90,5 35 711 91,5
1 car 14 599 42,5 15 283 41,7 16 289 41,7
2 cars and over 16 180 47,1 17 884 48,8 19 422 49,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Employment area 2020 of Vitré (5319)

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 5 137 4 058 79,0 79,7 78,3
6 to 10 years old 7 299 7 181 98,4 98,4 98,3
11 to 14 years old 5 858 5 775 98,6 98,6 98,6
15 to 17 years old 4 191 4 096 97,7 97,1 98,4
18 to 24 years old 5 821 2 213 38,0 35,8 40,6
25 to 29 years old 4 875 128 2,6 1,9 3,4
30 years old and over 60 075 348 0,6 0,4 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 81,0 79,4 79,0
6 to 10 years old 98,9 99,0 98,4
11 to 14 years old 99,6 99,2 98,6
15 to 17 years old 98,1 97,6 97,7
18 to 24 years old 38,0 38,3 38,0
25 to 29 years old 2,7 2,7 2,6
30 years old and over 0,6 0,5 0,6
  • 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 68 177 33 898 34 278
Proportion of graduates in percentage
No diploma or primary education certificate 22,6 19,2 25,9
BEPC brevet des collèges or DNB 4,6 4,1 5,1
CAP, BEP or equivalent 30,4 36,6 24,3
Baccalauréat, brevet professionnel or equivalent 18,1 18,1 18,0
2 years at university 11,8 11,0 12,6
3 to 4 years at university 7,0 5,4 8,5
5 years and over at university 5,5 5,5 5,5
  • 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 33,6 22,6
BEPC brevet des collèges or DNB 5,2 4,6
CAP, BEP or equivalent 28,1 30,4
Baccalauréat, brevet professionnel or equivalent 15,4 18,1
2 years and over at university 17,7 24,3
  • 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 Vitré (5319)

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 54 160 56 455 58 467
Labor force in % 78,7 79,7 79,7
 including people in work in % 74,0 73,7 73,5
 including unemployed workers in % 4,7 5,9 6,2
Economically inactive people in % 21,3 20,3 20,3
 including pupils, students or interns in % 8,2 8,2 8,9
 including retirees in % 7,9 7,6 6,6
 including other economically inactive people in % 5,2 4,5 4,8
  • 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 58 467 46 606 79,7 42 976 73,5
 15 to 24 years old 10 012 4 534 45,3 3 706 37,0
 25 to 54 years old 37 496 35 790 95,5 33 380 89,0
 55 to 64 years old 10 960 6 282 57,3 5 890 53,7
Male 29 951 24 367 81,4 22 680 75,7
 15 to 24 years old 5 233 2 632 50,3 2 165 41,4
 25 to 54 years old 19 131 18 519 96,8 17 462 91,3
 55 to 64 years old 5 587 3 216 57,6 3 053 54,7
Female 28 517 22 239 78,0 20 296 71,2
 15 to 24 years old 4 779 1 902 39,8 1 541 32,3
 25 to 54 years old 18 364 17 271 94,0 15 918 86,7
 55 to 64 years old 5 373 3 066 57,1 2 837 52,8
  • 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 73,5
Unemployed workers 6,2
Retirees 6,6
Pupils, students or interns 8,9
Other economically inactive people 4,8
  • 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 42 241 39 783 45 263 41 908 46 672 43 069
including
 Farmer operators 2 210 2 194 1 848 1 820 1 907 1 881
 Handicrafters, traders and business leaders 2 279 2 198 2 274 2 185 2 295 2 219
 Managers and higher intellectual professions 3 568 3 456 3 995 3 859 4 487 4 384
 Middle-level occupations 8 666 8 247 10 025 9 421 11 018 10 324
 Services employee 10 521 9 738 11 343 10 341 11 709 10 692
 Blue-collar workers 14 922 13 951 15 582 14 282 15 061 13 569
  • 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 2 525 3 356 3 630
Unemployment rate in % 5,9 7,5 7,8
Unemployment of the 15-24 aged 13,1 16,9 18,3
Unemployment of the 25-54 aged 5,1 6,3 6,7
Unemployment of the 55-64 aged 3,7 6,6 6,2
  • 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 14,4
BEPC brevet des collèges or DNB 12,8
CAP, BEP or equivalent 7,8
Baccalauréat, brevet professionnel or equivalent 8,2
2 years at university 5,4
3 to 4 years at university 5,4
5 years and over at university 5,3
  • 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 37 588 38 916 40 193
People in work living in the area 40 264 41 868 43 338
Employment concentration indicator 93,4 92,9 92,7
Activity rate of 15 years old and over in % 63,1 63,5 62,7
  • 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 37 588 100,0 38 916 100,0 40 193 100,0
Employee 32 218 85,7 33 619 86,4 35 107 87,3
 including women 15 164 40,3 16 071 41,3 16 889 42,0
 including part-time workers 5 593 14,9 5 766 14,8 5 466 13,6
Non-employee 5 370 14,3 5 298 13,6 5 086 12,7
 including women 1 896 5,0 1 819 4,7 1 826 4,5
 including part-time workers 356 0,9 406 1,0 428 1,1
  • 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 39 978 100,0
Farmer operators 1 949 4,9
Handicrafters, traders, business leaders 2 040 5,1
Managers and higher intellectual professions 3 861 9,7
Middle-level occupations 8 915 22,3
Services employee 9 246 23,1
Blue-collar workers 13 965 34,9
  • 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 5,8 4,7 4,9
Handicrafters, traders, business leaders 5,6 5,4 5,1
Managers and higher intellectual professions 8,0 9,2 9,7
Middle-level occupations 20,0 20,9 22,3
Services employee 22,7 23,0 23,1
Blue-collar workers 37,8 36,7 34,9
  • 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 37 515 100,0 38 784 100,0 39 978 100,0 46,8 88,0
Agriculture 2 891 7,7 2 704 7,0 2 733 6,8 34,6 29,7
Industry 12 113 32,3 11 352 29,3 11 420 28,6 35,4 96,2
Construction 2 984 8,0 2 852 7,4 2 372 5,9 10,3 83,2
Wholesale and retail trade/transports/accommodations and food service activities 11 624 31,0 13 198 34,0 14 692 36,8 45,8 89,2
Public administration/education/healthcare/social work 7 903 21,1 8 678 22,4 8 761 21,9 77,0 94,9
  • 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 37,6 33,3
Industry 35,6 31,2
Construction 11,7 3,8
Wholesale and retail trade, transports, accommodations and food service activities 46,5 40,1
Public administration, education, healthcare, social work 77,9 59,6
  • 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 Vitré (5319)

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 43 327 100,0 14,9 47,2
Employees 38 050 87,8 15,8 48,9
Non-employees 5 277 12,2 8,5 35,2
  • 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 22 863 100 20 464 100
Employees 19 442 85,0 18 608 90,9
 Tenured personnel and open-ended employment contracts 16 864 73,8 15 644 76,4
 Fixed-term employment contracts 1 090 4,8 2 008 9,8
 Temporary employment 791 3,5 514 2,5
 Assisted jobs 55 0,2 135 0,7
 Apprentice ship contract - Traineeship 642 2,8 306 1,5
Non-employees 3 421 15,0 1 856 9,1
 Independents 1 704 7,5 1 135 5,5
 Employers 1 699 7,4 693 3,4
 Caregivers 18 0,1 29 0,1
  • 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 19 337 5,0 18 496 26,4
15 to 24 years old 2 116 14,3 1 499 25,5
25 to 54 years old 14 894 3,0 14 531 25,2
55 to 64 years old 2 326 9,9 2 466 33,7
  • 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 4,8 5,7 5,3
Female 31,1 29,8 26,7
  • 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 40 254 100 41 861 100 43 327 100
working :
in their residential zone 13 323 33,1 12 898 30,8 12 180 28,1
in another zone 26 931 66,9 28 964 69,2 31 147 71,9
  • 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 6,5
Walking 4,2
Bicycle 1,4
Motorized two-wheeled vehicles 1,0
Car or truck 83,6
Public transports 3,3
  • 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 Vitré (5319)

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 718 763 841 792 846 825 825 850
Domiciled births 1 247 1 096 1 046 1 107 1 040 1 009 967 1 005
  • 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 Vitré (5319)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 39 196
Number of people in tax households 96 415
Median disposable income (per consumption unit in euros) 22 090
Share of actually taxed tax households (in %) 46,8
  • 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

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 8,1
Less than 30 years old 12,9
30 to 39 years old 8,2
40 to 49 years old 8,2
50 to 59 years old 7,4
60 to 74 years old 6,0
75 and over 9,5
  • 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 8,1
Homeowner 5,0
Tenant 19,6
  • 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 75,8
including wages 67,7
including unemployment pensions 2,9
including self-employed income 5,2
Retirement pension or annuity 22,8
Capital income (real estate, financial, others) 9,6
Social benefits 5,4
including child benefit 2,6
including income support 1,9
including housing benefit 0,9
Tax –13,6
  • 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) 22 090
Inter-decile ratio 2,4
1st decile (in euros) 14 100
9th decile (in euros) 34 230
  • 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 Vitré (5319)

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 14,1 12,7 15,2
Managerial staff* 24,9 21,3 26,4
Middle-level occupations 15,2 13,9 16,1
Services employee 11,2 11,1 11,9
Blue-collar workers 12,1 11,2 12,4
  • * 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 –16,4
Managerial staff* –19,2
Middle-level occupations –13,7
Services employee –6,7
Blue-collar workers –9,4
  • * 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 10,1 10,8
26 to 50 years old 14,2 12,9 15,1
50 years old or over 15,7 13,2 17,4
  • 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 –5,8
26 to 50 years old –14,4
50 years old and over –24,1
  • 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 Vitré (5319)

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 2 825 100,0 213 1 996 304 189 123
Agriculture, forestry and fishing 309 10,9 41 258 7 3 0
Industrial economy 282 10,0 13 141 41 41 46
Building industry 344 12,2 25 244 48 24 3
Trade, transport, various services 1 546 54,7 125 1 174 135 75 37
including trade and car repair 514 18,2 30 379 63 28 14
Administration publique, enseignement, santé, action sociale 344 12,2 9 179 73 46 37
  • 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 34 584 100,0 6 091 3 984 5 793 4 832 13 884
Agriculture, forestry and fishing 640 1,9 455 93 92 0 0
Industrial economy 11 624 33,6 585 553 1 234 1 314 7 938
Building industry 2 474 7,2 820 663 748 133 110
Trade, transport, various services 12 474 36,1 3 516 1 722 2 274 1 433 3 529
including trade and car repair 4 650 13,4 1 323 780 867 448 1 232
Administration publique, enseignement, santé, action sociale 7 372 21,3 715 953 1 445 1 952 2 307
  • 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* 12,2
Trade, transport, various services* 54,7
Building industry* 12,2
Industrial economy* 10,0
Agriculture, forestry and fishing* 10,9
  • 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 4,4
20 to 49 employees 6,7
10 to 19 employees 10,8
1 to 9 employee(s) 70,7
0 employee 7,5
  • 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 2 825 100,0 34 584 100,0
Productive sphere* 1 159 41,0 19 316 55,9
of which public domain* 0 0,0 0 0,0
Presential sphere 1 666 59,0 15 268 44,1
of which public domain* 129 4,6 4 286 12,4
  • 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 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 2 825 100,0 34 584 100,0
Agriculture, forestry and fishing 309 10,9 640 1,9
Manufacture of food, drink and tobacco products 107 3,8 5 784 16,7
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 20 0,7 1 675 4,8
Manufacture of transport equipment 3 0,1 19 0,1
Manufacture of other industrial products 129 4,6 3 677 10,6
Extractive industries, energy, water, waste management and pollution control 23 0,8 469 1,4
Building industry 344 12,2 2 474 7,2
Trade ; repair of automobiles and motorcycles 514 18,2 4 650 13,4
Transportation and warehousing 107 3,8 2 825 8,2
Accommodation and catering 165 5,8 640 1,9
Information and communication 33 1,2 133 0,4
Financial and insurance activities 134 4,7 610 1,8
Real estate activities 41 1,5 121 0,3
Scientific and technical activities; administrative and support services 322 11,4 2 856 8,3
General government, education, human healthcare and social action 344 12,2 7 372 21,3
Other service activities 230 8,1 639 1,8
  • 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 4 805 100,0
Employers of childminders 2 686 55,9
Employers of other employees 2 119 44,1
  • 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

Employment area 2020 of Vitré (5319)

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 791 100,0 526 66,5
Industry 67 8,5 43 64,2
Construction 75 9,5 35 46,7
Wholesale and retail trade/transports/accommodations and food service activities 157 19,8 108 68,8
Information/communication 40 5,1 32 80,0
Finance and insurance activities 49 6,2 3 6,1
Real estate activities 47 5,9 24 51,1
Professional/scientific/technical activites/administrative and support service activities 147 18,6 93 63,3
Public administration/education/healthcare/social work 86 10,9 76 88,4
Other service activities 123 15,5 112 91,1
  • 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 436 415 410 431 396 418 478 661 710 791
Sole proprietorship 280 276 290 276 249 270 320 454 496 526
  • 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 5 247 100,0
Industry 558 10,6
Construction 659 12,6
Wholesale and retail trade/transports/accommodations and food service activities 1 319 25,1
Information/communication 146 2,8
Finance and insurance activities 361 6,9
Real estate activities 258 4,9
Professional/scientific/technical activites/administrative and support service activities 799 15,2
Public administration/education/human health/social work 680 13,0
Other service activities 467 8,9
  • 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 949 100,0
Industry 86 9,1
Construction 83 8,7
Wholesale and retail trade/transports/accommodations and food service activities 212 22,3
Information/communication 44 4,6
Finance and insurance activities 64 6,7
Real estate activities 52 5,5
Professional/scientific/technical activites/administrative and support service activities 178 18,8
Public administration/education/healthcare/social work 98 10,3
Other service activities by the number of business creations including free lancers 132 13,9
  • 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 507 476 464 497 475 488 555 740 790 949
  • 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 5 983 100,0
Industry 676 11,3
Construction 699 11,7
Wholesale and retail trade/transports/accommodations and food service activities 1 567 26,2
Information/communication 155 2,6
Finance and insurance activities 424 7,1
Real estate activities 286 4,8
Professional/scientific/technical activites/administrative and support service activities 936 15,6
Public administration/education/human health/social work 750 12,5
Other service activities 490 8,2
  • 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 Vitré (5319)

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 14 391
1 star 2 28
2 stars 7 159
3 stars 4 153
4 stars 1 51
5 stars 0 0
Non-ranked 0 0
  • 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 6 211
1 star 1 29
2 stars 3 74
3 stars 2 108
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 0 0
Tourist accommodations 0 0
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.