données locales

Paru le : 27/02/2024

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

Detailed figures
Paru le :Paru le27/02/2024
- February 2024

Growth and structure of the population in 2020

Employment area 2020 of Vitré (5319)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2009 % 2014 % 2020 %
Altogether 87 943 100,0 92 728 100,0 95 935 100,0
0 to 14 years old 19 392 22,1 20 705 22,3 20 275 21,1
15 to 29 years old 15 187 17,3 14 603 15,7 14 951 15,6
30 to 44 years old 19 520 22,2 19 840 21,4 19 219 20,0
45 to 59 years old 16 111 18,3 17 732 19,1 19 607 20,4
60 to 74 years old 10 039 11,4 11 308 12,2 13 435 14,0
75 and over 7 694 8,7 8 539 9,2 8 449 8,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2009 2014 2020
0 to 14 years old 22,1 22,3 21,1
15 to 29 years old 17,3 15,7 15,6
30 to 44 years old 22,2 21,4 20,0
45 to 59 years old 18,3 19,1 20,4
60 to 74 years old 11,4 12,2 14,0
75 and over 8,7 9,2 8,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 2009 2014 2020
Population 62 703 63 419 66 643 70 637 75 676 87 943 92 728 95 935
Average density (inhab / km²) 56,7 57,4 60,3 63,9 68,5 79,6 83,9 86,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023.
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 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 2009 2009 to 2014 2014 to 2020
Average annual change in population in % 0,2 0,7 0,7 0,8 1,5 1,1 0,6
due to the natural balance in % 0,7 0,6 0,5 0,5 0,7 0,7 0,3
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 14,6 11,6
Mortality rate (‰) 10,8 10,6 9,4 8,7 8,2 8,0 8,5
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023
  • Sources: Insee, RP1968 to 1999 counts, RP2009 to RP2020 main holdings - Civil status

POP T3 - Population by age and sex in 2020

POP T3 - Population by age and sex in 2020
Male % Female %
Altogether 47 883 100,0 48 052 100,0
0 to 14 years old 10 273 21,5 10 003 20,8
15 to 29 years old 7 795 16,3 7 156 14,9
30 to 44 years old 9 661 20,2 9 558 19,9
45 to 59 years old 10 163 21,2 9 444 19,7
60 to 74 years old 6 601 13,8 6 833 14,2
75 to 89 years old 3 046 6,4 4 196 8,7
90 years and over 345 0,7 861 1,8
0 to 19 years old 13 421 28,0 12 921 26,9
20 to 64 years old 27 044 56,5 25 810 53,7
65 and over 7 418 15,5 9 320 19,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2014 % 2020 %
People one year old and over, previously living: 91 461 100,0 94 879 100,0
In the same house 82 191 89,9 85 543 90,2
In another house in the same town 2 686 2,9 2 386 2,5
In another town 6 583 7,2 6 950 7,3
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 28,5 71,5
15 to 24 years old 19,9 80,1
25 to 54 years old 24,9 75,1
55 years old and over 31,8 68,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2009 % 2014 % 2020 %
Altogether 68 615 100,0 71 993 100,0 75 690 100,0
Farmer operators 2 256 3,3 1 902 2,6 1 841 2,4
Craftsmen, traders, business leaders 2 330 3,4 2 377 3,3 2 428 3,2
Managers and higher intellectual professions 3 662 5,3 4 183 5,8 4 781 6,3
Middle-level occupations 8 933 13,0 10 345 14,4 11 203 14,8
Services employee 10 842 15,8 11 555 16,0 11 800 15,6
Blue-collar workers 14 937 21,8 15 426 21,4 15 294 20,2
Retirees 18 093 26,4 18 479 25,7 19 552 25,8
Other people with no professional activity 7 561 11,0 7 726 10,7 8 792 11,6
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 37 688 38 002 100,0 100,0 100,0
Farmer operators 1 244 597 0,1 3,2 2,3
Craftsmen, traders, business leaders 1 723 704 0,4 5,1 1,7
Managers and higher intellectual professions 2 957 1 824 1,1 10,7 2,4
Middle-level occupations 5 395 5 808 8,1 24,2 4,7
Services employee 2 101 9 699 14,2 22,7 6,6
Blue-collar workers 11 345 3 949 20,1 29,8 7,4
Retirees 9 116 10 437 0,0 0,1 69,8
Other people without professional activity 3 808 4 984 55,9 4,3 5,2
  • Source: Insee, RP2020 additional operation, geography as of 01/01/2023.

Couples – Family – Households in 2020

Employment area 2020 of Vitré (5319)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2009 % 2014 % 2020 % 2009 2014 2020
Ensemble 34 859 100,0 37 110 100,0 39 468 100,0 86 264 90 796 93 989
One-person households (male and female) 9 627 27,6 10 648 28,7 12 029 30,5 9 627 10 648 12 029
 Single Male 4 562 13,1 5 359 14,4 6 007 15,2 4 562 5 359 6 007
 Single Female 5 065 14,5 5 289 14,3 6 022 15,3 5 065 5 289 6 022
Other households without families 500 1,4 553 1,5 401 1,0 1 230 1 448 881
Family households : 24 731 70,9 25 909 69,8 27 038 68,5 75 407 78 701 81 079
 Couple without children 10 356 29,7 10 869 29,3 11 471 29,1 20 972 22 013 23 103
 Couple with children 12 532 36,0 12 975 35,0 12 847 32,5 49 500 51 286 50 758
 Single parent 1 843 5,3 2 065 5,6 2 721 6,9 4 935 5 401 7 218
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Average number of occupants per main residence 3,31 3,20 2,99 2,82 2,60 2,47 2,45 2,38
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 main holdings

FAM G1 - Growth estimates of households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 main holdings

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

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
en % 2009 2014 2020
15 to 19 years old 2,4 2,7 2,9
20 to 24 years old 14,2 14,4 14,1
25 to 39 years old 11,3 11,4 12,5
40 to 54 years old 9,9 10,8 12,5
55 to 64 years old 13,8 16,3 17,3
65 to 79 years old 23,9 22,1 22,9
80 and above 49,7 49,5 48,3
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G3 - Proportion of couple families aged 15 years or over

FAM G3 - Proportion of couple families aged 15 years or over
en % 2009 2014 2020
15 to 19 years old 1,8 1,3 1,1
20 to 24 years old 37,3 35,7 30,9
25 to 39 years old 79,4 78,6 77,7
40 to 54 years old 82,5 81,1 78,8
55 to 64 years old 81,1 79,0 79,0
65 to 79 years old 70,0 73,1 73,2
80 and above 35,4 38,6 40,8
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G3 - Proportion of couple families aged 15 years or over

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

FAM G4 - Marital status of the population aged 15 years or over in 2020
%
Married 47,3
Civil partnership 8,1
In cohabitation 11,1
Widowed 6,5
Divorced 4,2
Single 22,7
  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM T2 - Households by socio-economic classification of the reference person in 2020

FAM T2 - Households by socio-economic classification of the reference person in 2020
Number of households % Household population %
Ensemble 39 468 100,0 93 989 100,0
Farmer operators 1 262 3,2 3 662 3,9
Craftsmen, traders, business leaders 1 638 4,1 5 064 5,4
Managers and higher intellectual professions 3 011 7,6 8 721 9,3
Intermediate professions 6 309 16,0 17 498 18,6
Employees 5 724 14,5 15 152 16,1
Workers 9 617 24,4 25 171 26,8
Retirees 10 978 27,8 17 208 18,3
Other people without professional activity 930 2,4 1 512 1,6
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

FAM G5 - Households by socio-economic classification of the reference person in 2020
%
Farmer operators 3,2
Handicrafters, traders, business leaders 4,1
Managers and higher intellectual professions 7,6
Intermediate professions 16,0
Employees 14,5
Workers 24,4
Retirees 27,8
Unemployed persons 2,4
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM T3 - Families composition

FAM T3 - Families composition
2009 % 2014 % 2020 %
Ensemble 24 778 100,0 25 966 100,0 27 113 100,0
Couple with children 12 540 50,6 12 979 50,0 12 862 47,4
Single parent 1 863 7,5 2 096 8,1 2 770 10,2
 Male single parent 307 1,2 446 1,7 740 2,7
 Female single parent 1 556 6,3 1 651 6,4 2 030 7,5
Couple without children 10 375 41,9 10 891 41,9 11 482 42,3
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2009 % 2014 % 2020 %
Ensemble 24 778 100,0 25 966 100,0 27 113 100,0
Without any 11 452 46,2 11 915 45,9 12 511 46,1
1 child 4 605 18,6 4 737 18,2 5 077 18,7
2 children 5 668 22,9 6 199 23,9 6 452 23,8
3 children 2 511 10,1 2 643 10,2 2 554 9,4
4 children or above 541 2,2 472 1,8 519 1,9
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

Housing in 2020

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 2009 2014 2020
Altogether 19 976 21 547 24 734 27 712 31 139 38 221 41 067 43 636
Main residences 18 379 19 250 21 691 24 432 28 352 34 855 37 125 39 482
Second homes 605 844 1 420 1 353 1 216 902 867 972
Vacant dwellings 992 1 453 1 623 1 927 1 571 2 464 3 076 3 182
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2009 % 2014 % 2020 %
Altogether 38 221 100,0 41 067 100,0 43 636 100,0
Main residences 34 855 91,2 37 125 90,4 39 482 90,5
Second homes 902 2,4 867 2,1 972 2,2
Vacant dwellings 2 464 6,4 3 076 7,5 3 182 7,3
Houses 31 732 83,0 34 170 83,2 36 119 82,8
Flats 6 312 16,5 6 593 16,1 7 215 16,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2009 % 2014 % 2020 %
Altogether 34 855 100,0 37 125 100,0 39 482 100,0
1 room 642 1,8 529 1,4 571 1,4
2 rooms 3 163 9,1 3 185 8,6 3 251 8,2
3 rooms 5 821 16,7 6 042 16,3 6 086 15,4
4 rooms 7 533 21,6 7 860 21,2 8 336 21,1
5 rooms and over 17 695 50,8 19 510 52,6 21 238 53,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2009 2014 2020
All main residences 4,5 4,6 4,7
Houses 4,9 5,0 5,0
Flats 2,8 2,8 2,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2009 2014 2020
Over-occupied 1,4 1,0 1,1
Non-over-occupied 98,6 99,0 98,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T5 - Main residences in 2020 by completion period

LOG T5 - Main residences in 2020 by completion period
Number %
Principal residences build before 2018 38 763 100,0
before 1919 5 726 14,8
from 1919 to 1945 2 246 5,8
from 1946 to 1970 4 430 11,4
from 1971 to 1990 10 431 26,9
from 1991 to 2005 8 708 22,5
from 2006 to 2017 7 222 18,6
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

LOG G1 - Main residences in 2020 by completion period and housing category
House Flat
before 1919 5 106 591
from 1919 to 1945 1 946 297
from 1946 to 1970 3 571 840
from 1971 to 1990 8 695 1 579
from 1991 to 2005 7 307 1 375
from 2006 to 2017 5 914 1 286
  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T6 - Main residence tenure in 2020

LOG T6 - Main residence tenure in 2020
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 39 482 100,0 94 041 4,7 2,0
Less than 2 years 4 509 11,4 9 597 3,9 1,8
From 2 to 4 years 7 454 18,9 17 738 4,2 1,7
From 5 to 9 years 6 429 16,3 17 693 4,6 1,7
10 years and over 21 091 53,4 49 012 5,0 2,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

LOG G2 - Households by main residence tenure in 2020
Share of households in%
Less than 2 years 11,4
From 2 to 4 years 18,9
From 5 to 9 years 16,3
From 10 to 19 years 22,2
From 20 to 29 years 12,0
30 years and over 19,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2009 2014 2020
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 34 855 100,0 37 125 100,0 39 482 100,0 94 041 16,0
Homeowner 23 371 67,1 25 508 68,7 27 583 69,9 70 480 19,9
Tenant 11 177 32,1 11 319 30,5 11 565 29,3 22 875 6,7
(including social sector housing) 3 295 9,5 3 133 8,4 3 128 7,9 6 285 9,3
Housed for free 307 0,9 298 0,8 334 0,8 686 13,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2009 % 2014 % 2020 %
Altogether 34 855 100,0 37 125 100,0 39 482 100,0
Bathroom including a shower or a bath 33 927 97,3 36 040 97,1 38 567 97,7
Collective central heating 1 271 3,6 1 247 3,4 1 133 2,9
Individual central heating 15 553 44,6 15 367 41,4 17 224 43,6
Individual electric heating 12 659 36,3 13 644 36,8 13 806 35,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2009 % 2014 % 2020 %
Altogether 34 855 100,0 37 125 100,0 39 482 100,0
At least one parking spot 26 949 77,3 29 225 78,7 32 091 81,3
At least one car 31 287 89,8 33 649 90,6 36 242 91,8
1 car 14 803 42,5 15 434 41,6 16 597 42,0
2 cars and over 16 484 47,3 18 214 49,1 19 645 49,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

Education and training in 2020

Employment area 2020 of Vitré (5319)

FOR T1 - Enrollment by age and sex in 2020

FOR T1 - Enrollment by age and sex in 2020
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 4 999 3 939 78,8 79,1 78,5
6 to 10 years old 7 241 7 110 98,2 98,3 98,1
11 to 14 years old 5 901 5 820 98,6 98,7 98,5
15 to 17 years old 4 322 4 214 97,5 97,0 98,0
18 to 24 years old 5 885 2 212 37,6 34,3 41,5
25 to 29 years old 4 744 133 2,8 2,1 3,5
30 years old and over 60 709 357 0,6 0,4 0,8
  • Source: Insee, RP2020 principal exploitation, geography at the 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2009 2014 2020
2 to 5 years old 80,8 79,2 78,8
6 to 10 years old 98,9 99,1 98,2
11 to 14 years old 99,6 99,1 98,6
15 to 17 years old 97,8 97,8 97,5
18 to 24 years old 37,9 39,1 37,6
25 to 29 years old 2,4 2,8 2,8
30 years old and over 0,6 0,6 0,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Altogether Male Female
Proportion of unschooled aged 15 years or above 68 745 34 203 34 542
Proportion of graduates in percentage
No diploma or primary education certificate 21,9 18,5 25,2
BEPC brevet des collèges or DNB 4,5 4,1 4,9
CAP, BEP or equivalent 30,0 36,1 23,9
Baccalauréat, brevet professionnel or equivalent 18,3 18,4 18,2
2 years at university 12,1 11,4 12,8
3 to 4 years at university 7,3 5,6 8,9
5 years and over at university 5,9 5,9 6,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 %)
2009 2020
No diploma or primary education certificate 32,7 21,9
BEPC brevet des collèges or DNB 5,2 4,5
CAP, BEP or equivalent 28,1 30,0
Baccalauréat, brevet professionnel or equivalent 15,7 18,3
2 years and over at university 18,3 25,3
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

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 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

Labor force, employment and unemployment within the sense of the census in 2020

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
2009 2014 2020
Altogether 54 725 56 937 58 921
Labor force in % 78,7 79,8 79,8
 including people in work in % 74,0 73,6 74,0
 including unemployed workers in % 4,7 6,2 5,9
Economically inactive people in % 21,3 20,2 20,2
 including pupils, students or interns in % 8,0 8,4 8,8
 including retirees in % 8,3 7,5 6,5
 including other economically inactive people in % 5,1 4,4 4,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 58 921 47 042 79,8 43 582 74,0
 15 to 24 years old 10 207 4 694 46,0 3 922 38,4
 25 to 54 years old 37 487 35 762 95,4 33 465 89,3
 55 to 64 years old 11 228 6 586 58,7 6 194 55,2
Male 30 192 24 640 81,6 23 067 76,4
 15 to 24 years old 5 392 2 773 51,4 2 340 43,4
 25 to 54 years old 19 110 18 502 96,8 17 515 91,7
 55 to 64 years old 5 690 3 365 59,1 3 212 56,4
Female 28 729 22 402 78,0 20 515 71,4
 15 to 24 years old 4 815 1 921 39,9 1 582 32,9
 25 to 54 years old 18 377 17 260 93,9 15 950 86,8
 55 to 64 years old 5 538 3 221 58,2 2 983 53,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 74,0
Unemployed workers 5,9
Retirees 6,5
Pupils, students or interns 8,8
Other economically inactive people 4,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2009 including people in work 2014 including people in work 2020 including people in work
Altogether 42 860 40 336 45 699 42 131 47 118 43 779
including
 Farmer operators 2 208 2 183 1 838 1 814 1 783 1 762
 Handicrafters, traders and business leaders 2 303 2 230 2 337 2 229 2 373 2 312
 Managers and higher intellectual professions 3 652 3 533 4 131 3 979 4 688 4 604
 Middle-level occupations 8 903 8 473 10 304 9 635 11 172 10 532
 Services employee 10 809 10 026 11 504 10 427 11 717 10 738
 Blue-collar workers 14 902 13 891 15 368 14 046 15 215 13 832
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2009 2014 2020
Number of unemployed workers 2 564 3 520 3 460
Unemployment rate in % 6,0 7,8 7,4
Unemployment of the 15-24 aged 13,5 17,4 16,4
Unemployment of the 25-54 aged 5,1 6,6 6,4
Unemployment of the 55-64 aged 3,9 7,0 5,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 14,2
BEPC brevet des collèges or DNB 12,0
CAP, BEP or equivalent 7,5
Baccalauréat, brevet professionnel or equivalent 7,8
2 years at university 4,8
3 to 4 years at university 5,2
5 years and over at university 5,1
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2009 2014 2020
Number of jobs in the area 37 887 38 975 40 829
People in work living in the area 40 660 42 147 43 960
Employment concentration indicator 93,2 92,5 92,9
Activity rate of 15 years old and over in % 63,1 63,4 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, RP2009, RP2014 and RP2020, main holdings, place of residence and place of work, geography as of 01/01/2023.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2009 % 2014 % 2020 %
Altogether 37 887 100,0 38 975 100,0 40 829 100,0
Employee 32 527 85,9 33 665 86,4 35 717 87,5
 including women 15 329 40,5 16 128 41,4 17 081 41,8
 including part-time workers 5 591 14,8 5 753 14,8 5 372 13,2
Non-employee 5 360 14,1 5 310 13,6 5 111 12,5
 including women 1 881 5,0 1 848 4,7 1 815 4,4
 including part-time workers 346 0,9 418 1,1 416 1,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main workplaces, geography as of 01/01/2023.

EMP T7 - Employment by socioprofessional activity in 2020

EMP T7 - Employment by socioprofessional activity in 2020
Number %
Altogether 41 096 100,0
Farmer operators 1 825 4,4
Handicrafters, traders, business leaders 2 132 5,2
Managers and higher intellectual professions 4 152 10,1
Middle-level occupations 9 225 22,4
Services employee 9 332 22,7
Blue-collar workers 14 430 35,1
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2009 2014 2020
Farmer operators 5,7 4,7 4,4
Handicrafters, traders, business leaders 5,6 5,5 5,2
Managers and higher intellectual professions 8,3 9,3 10,1
Middle-level occupations 20,1 21,2 22,4
Services employee 23,1 23,0 22,7
Blue-collar workers 37,1 36,2 35,1
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2009 2014 2020
Number % Number % Number % including women in % including employees %
Altogether 37 941 100,0 38 752 100,0 41 096 100,0 46,4 88,3
Agriculture 2 872 7,6 2 694 7,0 2 603 6,3 33,9 31,0
Industry 11 921 31,4 11 338 29,3 11 481 27,9 35,6 96,2
Construction 2 884 7,6 2 775 7,2 2 576 6,3 11,2 83,2
Wholesale and retail trade/transports/accommodations and food service activities 12 240 32,3 13 145 33,9 15 642 38,1 45,1 89,3
Public administration/education/healthcare/social work 8 024 21,1 8 801 22,7 8 794 21,4 77,0 94,5
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020
Employees Non-employees
Agriculture 38,1 31,9
Industry 35,7 31,8
Construction 12,3 6,0
Wholesale and retail trade, transports, accommodations and food service activities 45,7 39,8
Public administration, education, healthcare, social work 77,8 62,3
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

Employment characteristics within the sense of the census in 2020

Employment area 2020 of Vitré (5319)

ACT T1 - People in work aged 15 years and over by status in 2020

ACT T1 - People in work aged 15 years and over by status in 2020
Number % of which % part-time of which % women
Altogether 43 951 100,0 14,4 47,1
Employees 38 674 88,0 15,2 48,7
Non-employees 5 277 12,0 8,1 35,1
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020
Male % Female %
Altogether 23 272 100 20 679 100
Employees 19 845 85,3 18 829 91,1
 Tenured personnel and open-ended employment contracts 17 175 73,8 15 869 76,7
 Fixed-term contracts 1 057 4,5 1 939 9,4
 Temporary employment 854 3,7 535 2,6
 Assisted jobs 53 0,2 122 0,6
 Apprenticeship contracts - Traineeship 705 3,0 365 1,8
Non-employees 3 427 14,7 1 851 8,9
 Self-employed 1 691 7,3 1 145 5,5
 Employers 1 716 7,4 689 3,3
 Caregivers 19 0,1 17 0,1
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020
Male of which % part-time Female of which % part-time
Altogether 19 713 5,0 18 718 25,3
15 to 24 years old 2 284 14,0 1 541 25,6
25 to 54 years old 14 979 3,0 14 557 24,0
55 to 64 years old 2 449 9,1 2 620 32,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %
2009 2014 2020
Male 5,0 5,7 5,4
Female 30,5 29,4 25,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT T4 - Working place of people in work aged 15 years and over living in the area

ACT T4 - Working place of people in work aged 15 years and over living in the area
2009 % 2014 % 2020 %
Altogether 40 650 100 42 142 100 43 951 100
working:
in the same municipality they live in 13 274 32,7 12 860 30,5 11 974 27,2
in a different municipality 27 376 67,3 29 282 69,5 31 977 72,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

ACT G2 - Usual method of travel to work in 2020
in %
No travel 6,3
Walk 4,2
Bicycle 1,4
Motorized two-wheel vehicle 1,0
Car or truck 83,7
Public transportation 3,3
  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

Births and Deaths of people with usual residence in the area, 2014-2022

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 2022
Domiciled deaths 718 763 841 792 846 825 825 850 848
Domiciled births 1 247 1 096 1 046 1 107 1 040 1 009 967 1 005 989
  • Source: Insee, civil status statistics in geography as of 01/01/2023.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2023.

Household income and poverty in 2021

Employment area 2020 of Vitré (5319)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
2021
Number of tax households 39 619
Number of people in tax households 96 706
Median disposable income (per consumption unit in euros) 22 970
Share of actually taxed tax households (in %) 49,5
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Altogether 7,9
Less than 30 years old 11,3
30 to 39 years old 7,4
40 to 49 years old 8,2
50 to 59 years old 7,3
60 to 74 years old 6,2
75 and over 10,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Altogether 7,9
Homeowner 5,0
Tenant 19,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
share in %
Altogether 100,0
Work income 77,3
including wages 69,5
including unemployment pensions 2,5
including self-employed income 5,3
Retirement pension or annuity 22,6
Capital income (real estate, financial, others) 9,4
Social benefits 4,8
including child benefit 2,4
including income support 1,7
including housing benefit 0,7
Tax –14,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
2021
Median disposable income (per consumption unit in euros) 22 970
Inter-decile ratio 2,4
1st decile (in euros) 14 650
9th decile (in euros) 35 290
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

Salaries and earned income in 2021

Employment area 2020 of Vitré (5319)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021
Altogether Female Male
Altogether 14,3 12,7 15,3
Managerial staff* * 25,1 21,1 26,9
Intermediate professions* 15,3 14,1 16,1
Employees* 11,4 11,2 12,1
Workers* 12,1 11,1 12,4
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021
Difference (in%)
Altogether –16,9
Managerial staff* * –21,4
Intermediate professions* –12,6
Employees* –7,5
Workers* –10,9
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL T1 - Net average hourly wage (in euros) by age in 2021

SAL T1 - Net average hourly wage (in euros) by age in 2021
Altogether Female Male
15 to 25 years old 10,5 10,2 10,8
26 to 50 years old 14,3 13,0 15,2
50 years old or above 15,9 13,3 17,6
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021
Gender pay gap (in%)
15 to 25 years old –6,0
26 to 50 years old –15,0
50 years old or above –24,6
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

Characteristics of establishments at the end of 2021

Employment area 2020 of Vitré (5319)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2021

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2021
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 2 943 100,0 200 2 101 323 188 131
Agriculture, forestry and fishing 328 11,1 42 276 7 2 1
Industrial economy 285 9,7 6 150 43 40 46
Building industry 357 12,1 26 254 46 27 4
Trade, transport, various services 1 628 55,3 116 1 242 150 77 43
including trade and car repair 542 18,4 30 400 66 28 18
Administration publique, enseignement, santé, action sociale 345 11,7 10 179 77 42 37
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2021

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2021
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 35 822 100,0 6 333 4 267 5 759 5 274 14 189
Agriculture, forestry and fishing 666 1,9 474 92 44 56 0
Industrial economy 11 711 32,7 625 585 1 247 1 304 7 950
Building industry 2 553 7,1 831 616 814 180 112
Trade, transport, various services 13 751 38,4 3 708 1 966 2 342 1 701 4 034
including trade and car repair 5 146 14,4 1 389 855 846 643 1 413
Administration publique, enseignement, santé, action sociale 7 141 19,9 695 1 008 1 312 2 033 2 093
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021
%
General government, education, healthcare, social action* 11,7
Trade, transport, various services* 55,3
Building industry* 12,1
Industrial economy* 9,7
Agriculture, forestry and fishing* 11,1
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G2 - Distribution of active employer establishments by size at the end of 2021

RES G2 - Distribution of active employer establishments by size at the end of 2021
%
50 or more employees 4,5
20 to 49 employees 6,4
10 to 19 employees 11,0
1 to 9 employee(s) 71,4
0 employee 6,8
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G2 - Distribution of active employer establishments by size at the end of 2021

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2021

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2021
Establishments Salaried positions
Number % Number %
Altogether 2 943 100,0 35 822 100,0
Productive sphere* 1 226 41,7 20 334 56,8
of which public domain* 0 0,0 0 0,0
Presential sphere 1 717 58,3 15 488 43,2
of which public domain* 131 4,5 4 071 11,4
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2021

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2021
Establishments Salaried positions
Number % Number %
Altogether 2 943 100,0 35 822 100,0
Agriculture, forestry and fishing 328 11,1 666 1,9
Manufacture of food, drink and tobacco products 105 3,6 5 782 16,1
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 21 0,7 1 731 4,8
Manufacture of transport equipment 2 0,1 17 0,0
Manufacture of other industrial products 130 4,4 3 682 10,3
Extractive industries, energy, water, waste management and pollution control 27 0,9 499 1,4
Building industry 357 12,1 2 553 7,1
Trade ; repair of automobiles and motorcycles 542 18,4 5 146 14,4
Transportation and warehousing 106 3,6 3 061 8,5
Accommodation and catering 172 5,8 710 2,0
Information and communication 38 1,3 190 0,5
Financial and insurance activities 148 5,0 616 1,7
Real estate activities 47 1,6 136 0,4
Scientific and technical activities; administrative and support services 345 11,7 3 225 9,0
General government, education, human healthcare and social action 345 11,7 7 141 19,9
Other service activities 230 7,8 667 1,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES in geography as of 01/01/2023.

RES T5 - Individual employers at the end of 2021

RES T5 - Individual employers at the end of 2021
Individual employers
Number %
Altogether 4 683 100,0
Employers of childminders 2 567 54,8
Employers of other employees 2 116 45,2
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

Business and establishment set-ups in 2022

Employment area 2020 of Vitré (5319)

DEN T1 - Business set-ups by sector of activity in 2022

DEN T1 - Business set-ups by sector of activity in 2022
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 891 100,0 619 69,5
Industry 86 9,7 63 73,3
Construction 72 8,1 39 54,2
Wholesale and retail trade/transports/accommodations and food service activities 210 23,6 147 70,0
Information/communication 52 5,8 48 92,3
Finance and insurance activities 56 6,3 5 8,9
Real estate activities 55 6,2 27 49,1
Professional/scientific/technical activites/administrative and support service activities 156 17,5 105 67,3
Public administration/education/healthcare/social work 94 10,5 86 91,5
Other service activities 110 12,3 99 90,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2023.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Altogether 514 509 496 492 519 602 739 822 887 891
Sole proprietorship 354 371 327 319 347 420 526 596 618 619
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN T4 - Business set-ups by economic sectors in 2022

DEN T4 - Business set-ups by economic sectors in 2022
Altogether %
Altogether 990 100,0
Industry 109 11,0
Construction 79 8,0
Wholesale and retail trade/transports/accommodations and food service activities 235 23,7
Information/communication 51 5,2
Finance and insurance activities 62 6,3
Real estate activities 58 5,9
Professional/scientific/technical activites/administrative and support service activities 174 17,6
Public administration/education/healthcare/social work 103 10,4
Other service activities by the number of business creations including free lancers 119 12,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Créations d'établissements 574 541 590 553 580 660 810 878 987 990
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

Number of enterprises and establishments in 2021

Employment area 2020 of Vitré (5319)

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

DEN T3 - Number of enterprises 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 T5 - Number of establishments by economic sector on the 31st of December 2020

DEN T5 - Number of establishments 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 2024

Employment area 2020 of Vitré (5319)

TOU T1 - Number and capacity of hotels on the 1st of January 2024

TOU T1 - Number and capacity of hotels on the 1st of January 2024
Number of stars 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 01/01/2023.

TOU T2 - Number and capacity of campsites on the 1st of January 2024

TOU T2 - Number and capacity of campsites on the 1st of January 2024
Number of stars Campsites Pitches
Altogether 6 212
1 star 1 29
2 stars 3 75
3 stars 2 108
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2023.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024
Type of accomodation Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels or sports center 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2023.

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

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

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

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

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

All employees databases

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.

Business Demography Information System (SIDE)

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

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

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

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units of all non-agricultural market activities. This scope 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.

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 2009, 2014, 2020: dissemination in the municipalities of France outside Mayotte in geography on 2023;

Vital statistics: distribution to all municipalities in France in geography as of 2023;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2023;

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 01/01/2023;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2023;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2023;

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 01/01/2023

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.