données locales

Paru le : 21/02/2023

Full set of local data inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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

Growth and structure of the population in 2019

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 18 675 100,0 19 419 100,0 19 486 100,0
0 to 14 years old 4 119 22,1 4 167 21,5 3 838 19,7
15 to 29 years old 2 796 15,0 2 855 14,7 2 834 14,5
30 to 44 years old 4 100 22,0 3 929 20,2 3 571 18,3
45 to 59 years old 3 949 21,1 4 066 20,9 4 163 21,4
60 to 74 years old 2 318 12,4 2 959 15,2 3 566 18,3
75 and over 1 393 7,5 1 443 7,4 1 513 7,8
  • 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 22,1 21,5 19,7
15 to 29 years old 15,0 14,7 14,5
30 to 44 years old 22,0 20,2 18,3
45 to 59 years old 21,1 20,9 21,4
60 to 74 years old 12,4 15,2 18,3
75 and over 7,5 7,4 7,8
  • 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 11 239 12 767 14 226 15 194 16 135 18 675 19 419 19 486
Average density (inhab / km²) 75,9 86,2 96,0 102,5 108,9 126,0 131,1 131,5
  • (*) 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 % 1,8 1,6 0,8 0,7 1,6 0,8 0,1
due to the natural balance in % 0,8 0,6 0,5 0,4 0,7 0,6 0,3
due to the apparent balance of inflows and outflows in % 1,1 0,9 0,4 0,2 1,0 0,2 –0,2
Natality rate (‰) 17,4 14,2 12,7 12,0 14,0 12,9 10,7
Mortality rate (‰) 9,5 8,0 8,0 7,7 7,3 7,0 7,7
  • 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 9 637 100,0 9 849 100,0
0 to 14 years old 1 937 20,1 1 902 19,3
15 to 29 years old 1 436 14,9 1 398 14,2
30 to 44 years old 1 748 18,1 1 823 18,5
45 to 59 years old 2 143 22,2 2 021 20,5
60 to 74 years old 1 758 18,2 1 809 18,4
75 to 89 years old 562 5,8 738 7,5
90 years and over 53 0,6 160 1,6
0 to 19 years old 2 595 26,9 2 492 25,3
20 to 64 years old 5 301 55,0 5 343 54,3
65 and over 1 741 18,1 2 014 20,4
  • 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: 19 180 100,0 19 291 100,0
In the same house 17 434 90,9 17 530 90,9
In another house in the same town 412 2,1 532 2,8
In another town 1 334 7,0 1 230 6,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 37,5 62,5
15 to 24 years old 30,9 69,1
25 to 54 years old 28,3 71,7
55 years old and over 24,4 75,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 14 586 100,0 15 251 100,0 15 712 100,0
Farmer operators 99 0,7 164 1,1 95 0,6
Craftsmen, traders, business leaders 501 3,4 694 4,6 559 3,6
Managers and higher intellectual professions 822 5,6 876 5,7 1 005 6,4
Middle-level occupations 2 186 15,0 2 197 14,4 2 210 14,1
Services employee 2 625 18,0 2 941 19,3 3 022 19,2
Blue-collar workers 2 524 17,3 2 571 16,9 2 434 15,5
Retirees 3 934 27,0 4 016 26,3 4 564 29,0
Other people with no professional activity 1 895 13,0 1 791 11,7 1 822 11,6
  • 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 7 703 8 009 100,0 100,0 100,0
Farmer operators 60 35 0,0 1,1 0,2
Craftsmen, traders, business leaders 379 180 0,7 6,0 1,6
Managers and higher intellectual professions 616 390 0,7 11,3 2,5
Middle-level occupations 1 076 1 135 8,4 23,7 4,7
Services employee 610 2 412 16,4 29,8 7,9
Blue-collar workers 1 999 436 19,6 22,9 5,6
Retirees 2 242 2 322 0,0 0,1 71,9
Other people without professional activity 722 1 100 54,1 5,0 5,6
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 7 209 100,0 7 685 100,0 8 045 100,0 18 493 19 192 19 263
One-person households (male and female) 1 594 22,1 1 772 23,1 2 104 26,1 1 594 1 772 2 104
 Single Male 715 9,9 871 11,3 929 11,5 715 871 929
 Single Female 879 12,2 901 11,7 1 175 14,6 879 901 1 175
Other households without families 99 1,4 50 0,6 45 0,6 246 113 110
Family households: 5 515 76,5 5 863 76,3 5 896 73,3 16 653 17 306 17 049
 Couple with no children 2 358 32,7 2 656 34,6 2 798 34,8 4 745 5 397 5 671
 Couple with children 2 794 38,8 2 731 35,5 2 577 32,0 10 936 10 670 10 006
 Single parent 362 5,0 476 6,2 521 6,5 971 1 240 1 371
  • 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 3,33 3,23 3,06 2,90 2,69 2,56 2,50 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 01/01/2022.
  • 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 0,8 0,5 0,9
20 to 24 years old 9,7 9,4 9,4
25 to 39 years old 6,0 6,4 8,1
40 to 54 years old 7,3 7,8 10,4
55 to 64 years old 12,3 13,0 14,7
65 to 79 years old 22,7 20,8 21,1
80 and over 44,0 47,6 47,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 2,1 1,7 1,4
20 to 24 years old 32,1 35,5 27,9
25 to 39 years old 85,3 83,9 82,6
40 to 54 years old 85,3 84,4 81,2
55 to 64 years old 84,1 83,4 81,8
65 to 79 years old 73,0 75,5 77,2
80 and over 41,1 40,1 41,9
  • 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 51,0
Civil partnership 7,6
In cohabitation 11,2
Widowed 6,4
Divorced 5,0
Single 18,8
  • 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 8 045 100,0 19 263 100,0
Farmer operators 65 0,8 185 1,0
Craftsmen, traders, business leaders 359 4,5 1 102 5,7
Managers and higher intellectual professions 626 7,8 1 921 10,0
Middle-level occupations 1 202 14,9 3 352 17,4
Services employee 1 429 17,8 3 767 19,6
Blue-collar workers 1 602 19,9 4 456 23,1
Retirees 2 571 32,0 4 168 21,6
Other people with no professional activity 191 2,4 311 1,6
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,8
Handicrafters, traders, business leaders 4,5
Managers and higher intellectual professions 7,8
Middle-level occupations 14,9
Services employee 17,8
Blue-collar workers 19,9
Retirees 32,0
Unemployed persons 2,4
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

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

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 5 519 100,0 5 881 100,0 5 916 100,0
Couple with children 2 794 50,6 2 731 46,4 2 577 43,6
Single parent 362 6,6 485 8,2 541 9,1
Male single parent 88 1,6 121 2,1 155 2,6
Female single parent 275 5,0 364 6,2 386 6,5
Couple with no children 2 362 42,8 2 665 45,3 2 798 47,3
  • 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 5 519 100,0 5 881 100,0 5 916 100,0
No children 2 565 46,5 2 791 47,5 2 963 50,1
1 child 1 009 18,3 1 170 19,9 1 082 18,3
2 children 1 357 24,6 1 407 23,9 1 360 23,0
3 children 492 8,9 411 7,0 422 7,1
4 children and over 95 1,7 102 1,7 88 1,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 3 808 4 426 5 364 5 970 6 530 7 858 8 401 8 831
Main residences 3 320 3 880 4 578 5 141 5 888 7 206 7 703 8 044
Second homes 199 302 490 476 404 286 281 290
Vacant dwellings 289 244 296 353 238 366 417 497
  • (*) 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 7 858 100,0 8 401 100,0 8 831 100,0
Main residences 7 206 91,7 7 703 91,7 8 044 91,1
Second homes 286 3,6 281 3,3 290 3,3
Vacant dwellings 366 4,7 417 5,0 497 5,6
Houses 7 356 93,6 7 838 93,3 8 193 92,8
Flats 415 5,3 356 4,2 499 5,7
  • 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 7 206 100,0 7 703 100,0 8 044 100,0
1 room 92 1,3 76 1,0 67 0,8
2 rooms 404 5,6 380 4,9 419 5,2
3 rooms 968 13,4 1 024 13,3 1 079 13,4
4 rooms 1 849 25,7 1 938 25,2 1 967 24,4
5 rooms and over 3 893 54,0 4 284 55,6 4 513 56,1
  • 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 4,7 4,8 4,8
Houses 4,8 4,9 4,9
Flats 2,9 3,1 2,9
  • 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 1,2
Non-over-occupied 98,8
  • 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 7 733 100,0
before 1919 1 484 19,2
from 1919 to 1945 474 6,1
from 1946 to 1970 834 10,8
from 1971 to 1990 2 308 29,9
from 1991 to 2005 1 651 21,3
from 2006 to 2015 983 12,7
  • 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 1 439 44
from 1919 to 1945 455 17
from 1946 to 1970 767 61
from 1971 to 1990 2 094 183
from 1991 to 2005 1 580 52
from 2006 to 2015 969 12
  • 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 8 044 100,0 19 160 4,8 2,0
Less than 2 years 755 9,4 1 670 4,1 1,8
From 2 to 4 years 1 176 14,6 2 957 4,4 1,7
From 5 to 9 years 1 315 16,3 3 691 4,7 1,7
10 years and over 4 799 59,7 10 841 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 9,4
From 2 to 4 years 14,6
From 5 to 9 years 16,3
From 10 to 19 years 24,7
From 20 to 29 years 13,6
30 years and over 21,4
  • 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 7 206 100,0 7 703 100,0 8 044 100,0 19 160 17,4
Homeowner 5 512 76,5 5 931 77,0 6 202 77,1 15 311 20,3
Tenant 1 615 22,4 1 706 22,1 1 789 22,2 3 732 7,2
(including social sector housing) 405 5,6 401 5,2 479 5,9 888 9,0
Housed for free 78 1,1 66 0,9 53 0,7 117 11,9
  • 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 7 206 100,0 7 703 100,0 8 044 100,0
Bathroom including a shower or a bath 7 060 98,0 7 558 98,1 7 886 98,0
Collective central heating 120 1,7 137 1,8 143 1,8
Individual central heating 3 267 45,3 3 189 41,4 3 560 44,3
Individual electric heating 2 322 32,2 2 544 33,0 2 667 33,2
  • 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 7 206 100,0 7 703 100,0 8 044 100,0
At least one parking spot 5 636 78,2 5 939 77,1 6 536 81,3
At least one car 6 647 92,2 7 161 93,0 7 538 93,7
1 car 2 661 36,9 2 797 36,3 3 023 37,6
2 cars and over 3 985 55,3 4 364 56,6 4 515 56,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 942 716 76,1 76,5 75,6
6 to 10 years old 1 391 1 362 97,9 98,6 97,2
11 to 14 years old 1 091 1 070 98,1 98,0 98,2
15 to 17 years old 837 810 96,8 96,8 96,7
18 to 24 years old 1 162 492 42,3 38,7 46,2
25 to 29 years old 834 18 2,2 2,6 1,8
30 years old and over 12 814 67 0,5 0,5 0,5
  • 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 74,9 75,6 76,1
6 to 10 years old 98,9 99,1 97,9
11 to 14 years old 99,4 99,5 98,1
15 to 17 years old 98,0 97,8 96,8
18 to 24 years old 43,4 41,7 42,3
25 to 29 years old 1,8 1,7 2,2
30 years old and over 0,6 0,6 0,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

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

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

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 14 260 6 994 7 266
Proportion of graduates in percentage
No diploma or primary education certificate 20,6 17,0 24,0
BEPC brevet des collèges or DNB 4,2 3,8 4,7
CAP, BEP or equivalent 34,2 40,6 28,0
Baccalauréat, brevet professionnel or equivalent 17,9 17,1 18,6
2 years at university 11,9 11,2 12,6
3 to 4 years at university 6,7 5,4 8,0
5 years and over at university 4,5 4,9 4,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 30,9 20,6
BEPC brevet des collèges or DNB 4,7 4,2
CAP, BEP or equivalent 32,5 34,2
Baccalauréat, brevet professionnel or equivalent 14,7 17,9
2 years and over at university 17,3 23,1
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

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

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

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

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 11 914 12 158 11 893
Labor force in % 74,5 76,3 76,8
 including people in work in % 68,5 68,4 70,8
 including unemployed workers in % 6,0 7,9 6,0
Economically inactive people in % 25,5 23,7 23,2
 including pupils, students or interns in % 8,2 8,3 8,7
 including retirees in % 11,0 9,8 8,8
 including other economically inactive people in % 6,3 5,6 5,7
  • 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 11 893 9 130 76,8 8 414 70,8
 15 to 24 years old 1 999 882 44,1 705 35,3
 25 to 54 years old 7 208 6 835 94,8 6 403 88,8
 55 to 64 years old 2 686 1 413 52,6 1 306 48,6
Male 5 959 4 676 78,5 4 322 72,5
 15 to 24 years old 1 045 497 47,6 400 38,3
 25 to 54 years old 3 588 3 477 96,9 3 269 91,1
 55 to 64 years old 1 327 702 52,9 652 49,2
Female 5 934 4 454 75,1 4 092 69,0
 15 to 24 years old 955 385 40,3 304 31,9
 25 to 54 years old 3 620 3 357 92,7 3 134 86,6
 55 to 64 years old 1 359 712 52,4 654 48,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 70,8
Unemployed workers 6,0
Retirees 8,8
Pupils, students or interns 8,7
Other economically inactive people 5,7
  • 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 8 758 8 039 9 459 8 504 9 281 8 516
including
 Farmer operators 99 99 164 164 90 90
 Handicrafters, traders and business leaders 493 470 680 633 539 519
 Managers and higher intellectual professions 822 798 870 866 985 950
 Middle-level occupations 2 186 2 056 2 192 2 060 2 200 2 115
 Services employee 2 621 2 422 2 938 2 619 3 002 2 667
 Blue-collar workers 2 508 2 194 2 563 2 160 2 414 2 174
  • 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 714 961 716
Unemployment rate in % 8,0 10,4 7,8
Unemployment of the 15-24 aged 19,3 29,1 20,1
Unemployment of the 25-54 aged 6,8 8,3 6,3
Unemployment of the 55-64 aged 6,6 9,5 7,6
  • 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 16,1
BEPC brevet des collèges or DNB 9,6
CAP, BEP or equivalent 9,1
Baccalauréat, brevet professionnel or equivalent 8,8
2 years at university 4,2
3 to 4 years at university 2,2
5 years and over at university 3,8
  • 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 3 866 3 701 3 367
People in work living in the area 8 214 8 360 8 470
Employment concentration indicator 47,1 44,3 39,7
Activity rate of 15 years old and over in % 61,3 61,2 58,7
  • 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 3 866 100,0 3 701 100,0 3 367 100,0
Employee 3 288 85,1 3 029 81,8 2 787 82,8
 including women 1 768 45,7 1 688 45,6 1 544 45,9
 including part-time workers 811 21,0 722 19,5 640 19,0
Non-employee 578 14,9 672 18,2 579 17,2
 including women 182 4,7 234 6,3 206 6,1
 including part-time workers 50 1,3 78 2,1 70 2,1
  • 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 3 410 100,0
Farmer operators 95 2,8
Handicrafters, traders, business leaders 407 11,9
Managers and higher intellectual professions 281 8,3
Middle-level occupations 625 18,3
Services employee 1 160 34,0
Blue-collar workers 841 24,7
  • 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 2,5 3,8 2,8
Handicrafters, traders, business leaders 9,0 12,2 11,9
Managers and higher intellectual professions 7,6 7,1 8,3
Middle-level occupations 22,8 20,1 18,3
Services employee 30,1 32,7 34,0
Blue-collar workers 28,0 24,1 24,7
  • 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 3 876 100,0 4 037 100,0 3 410 100,0 53,5 82,3
Agriculture 120 3,1 174 4,3 133 3,9 43,5 35,9
Industry 710 18,3 474 11,7 408 12,0 36,4 86,5
Construction 405 10,5 489 12,1 391 11,5 9,0 74,5
Wholesale and retail trade/transports/accommodations and food service activities 1 504 38,8 1 582 39,2 1 384 40,6 49,1 76,7
Public administration/education/healthcare/social work 1 137 29,3 1 319 32,7 1 095 32,1 82,7 96,1
  • 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 47,9 41,1
Industry 36,4 36,3
Construction 8,6 10,2
Wholesale and retail trade, transports, accommodations and food service activities 52,9 36,7
Public administration, education, healthcare, social work 82,0 100,0
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

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

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

Characteristics of employment in the sense of the census in 2019

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 8 468 100,0 17,1 48,6
Employees 7 667 90,5 17,7 50,1
Non-employees 801 9,5 11,6 34,2
  • 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 4 352 100 4 116 100
Employees 3 825 87,9 3 842 93,3
 Tenured personnel and open-ended employment contracts 3 339 76,7 3 261 79,2
 Fixed-term employment contracts 206 4,7 419 10,2
 Temporary employment 128 2,9 56 1,4
 Assisted jobs 11 0,3 29 0,7
 Apprentice ship contract - Traineeship 141 3,2 76 1,8
Non-employees 527 12,1 274 6,7
 Independents 259 6,0 172 4,2
 Employers 265 6,1 95 2,3
 Caregivers 3 0,1 7 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 3 804 4,8 3 829 30,1
15 to 24 years old 386 13,4 296 32,1
25 to 54 years old 2 876 3,4 2 930 28,8
55 to 64 years old 541 5,7 602 35,8
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 4,1 5,5 5,2
Female 36,4 34,4 30,1
  • 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 8 200 100 8 360 100 8 468 100
working :
in their residential zone 1 594 19,4 1 464 17,5 1 297 15,3
in another zone 6 606 80,6 6 896 82,5 7 171 84,7
  • 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 4,4
Walking 2,0
Bicycle 1,0
Motorized two-wheeled vehicles 1,4
Car or truck 88,5
Public transports 2,7
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 149 140 163 159 139 147 166 200
Domiciled births 211 226 196 198 182 195 188 211
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

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

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

Household income and poverty in 2020

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 8 119
Number of people in tax households 19 684
Median disposable income (per consumption unit in euros) 22 520
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 01/01/2022.

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 7,1
Less than 30 years old
30 to 39 years old 8,6
40 to 49 years old 7,6
50 to 59 years old 6,8
60 to 74 years old 5,2
75 and over
  • 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 7,1
Homeowner 5,0
Tenant 18,2
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

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

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 72,6
including wages 66,8
including unemployment pensions 2,5
including self-employed income 3,3
Retirement pension or annuity 30,1
Capital income (real estate, financial, others) 6,3
Social benefits 4,5
including child benefit 2,2
including income support 1,6
including housing benefit 0,7
Tax –13,5
  • 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 T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 22 520
Inter-decile ratio 2,3
1st decile (in euros) 14 550
9th decile (in euros) 34 020
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 14,5 13,2 15,5
Managerial staff* 24,3 20,5 26,1
Middle-level occupations 15,5 14,5 16,3
Services employee 11,7 11,5 12,4
Blue-collar workers 12,5 11,1 12,7
  • * 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 –14,8
Managerial staff* –21,7
Middle-level occupations –11,2
Services employee –7,1
Blue-collar workers –12,7
  • * 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 10,4 10,1 10,7
26 to 50 years old 14,5 13,4 15,3
50 years old or over 16,0 13,8 17,3
  • 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 –5,5
26 to 50 years old –12,6
50 years old and over –20,4
  • 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

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

Characteristics of establishments at the end of 2020

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1P - 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 or more employees
Altogether 397 100,0 40 286 71
Agriculture, forestry and fishing* 31 7,8 8 23 0
Industrial economy* 40 10,1 3 29 8
Building industry* 60 15,1 4 42 14
Trade, transport, various services* 209 52,6 24 156 29
including trade and car repair 74 18,6 7 59 8
Administration publique, enseignement, santé, action sociale 57 14,4 1 36 20
  • 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 T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020
Total % 1 to 9 employee(s) 10 or more employees
Altogether 2 854 100,0 805 2 049
Agriculture, forestry and fishing 31 1,1 31 0
Industrial economy 342 12,0 75 267
Building industry 337 11,8 121 216
Trade, transport, various services 1 227 43,0 449 778
including trade and car repair 560 19,6 208 352
Administration publique, enseignement, santé, action sociale 917 32,1 129 788
  • 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* 14,4
Trade, transport, various services* 52,6
Building industry* 15,1
Industrial economy* 10,1
Agriculture, forestry and fishing* 7,8
  • 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 G2P - Distribution of active employer establishments by size at the end of 2020

RES G2P - Distribution of active employer establishments by size at the end of 2020
%
10 or more employees 17,9
1 to 10 employee(s) 72,0
0 employee 10,1
  • 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 G2P - 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 397 100,0 2 854 100,0
Productive sphere* 128 32,2 762 26,7
of which public domain* 0 0,0 0 0,0
Presential sphere 269 67,8 2 092 73,3
of which public domain* 27 6,8 665 23,3
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 1 488 100,0
Employers of childminders 739 49,7
Employers of other employees 749 50,3
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 165 100,0 122 73,9
Industry 12 7,3 7 58,3
Construction 27 16,4 21 77,8
Wholesale and retail trade/transports/accommodations and food service activities 34 20,6 22 64,7
Information/communication 3 1,8 3 100,0
Finance and insurance activities 4 2,4 0 0,0
Real estate activities 9 5,5 7 77,8
Professional/scientific/technical activites/administrative and support service activities 41 24,8 30 73,2
Public administration/education/healthcare/social work 18 10,9 17 94,4
Other service activities 17 10,3 15 88,2
  • 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 64 82 87 82 63 87 87 115 124 165
Sole proprietorship 50 61 54 61 48 70 64 88 97 122
  • 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 899 100,0
Industry 88 9,8
Construction 146 16,2
Wholesale and retail trade/transports/accommodations and food service activities 251 27,9
Information/communication 19 2,1
Finance and insurance activities 42 4,7
Real estate activities 43 4,8
Professional/scientific/technical activites/administrative and support service activities 117 13,0
Public administration/education/human health/social work 94 10,5
Other service activities 99 11,0
  • 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 184 100,0
Industry 14 7,6
Construction 29 15,8
Wholesale and retail trade/transports/accommodations and food service activities 40 21,7
Information/communication 4 2,2
Finance and insurance activities 4 2,2
Real estate activities 11 6,0
Professional/scientific/technical activites/administrative and support service activities 43 23,4
Public administration/education/healthcare/social work 21 11,4
Other service activities by the number of business creations including free lancers 18 9,8
  • 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 76 88 97 91 69 104 100 123 132 184
  • 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 990 100,0
Industry 100 10,1
Construction 151 15,3
Wholesale and retail trade/transports/accommodations and food service activities 291 29,4
Information/communication 20 2,0
Finance and insurance activities 54 5,5
Real estate activities 45 4,5
Professional/scientific/technical activites/administrative and support service activities 127 12,8
Public administration/education/human health/social work 102 10,3
Other service activities 100 10,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

inter-communality metropolis of CC Orée de Bercé - Belinois (247200447)

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 1 17
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 17
  • 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 1 50
1 star 0 0
2 stars 1 50
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

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

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 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.