données locales

Paru le : 21/02/2023

Full set of local data inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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

Growth and structure of the population in 2019

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 103 332 100,0 104 620 100,0 105 445 100,0
0 to 14 years old 18 728 18,1 18 938 18,1 18 917 17,9
15 to 29 years old 18 634 18,0 18 356 17,5 17 316 16,4
30 to 44 years old 20 204 19,6 18 926 18,1 17 993 17,1
45 to 59 years old 22 102 21,4 21 198 20,3 21 255 20,2
60 to 74 years old 13 974 13,5 16 680 15,9 18 812 17,8
75 and over 9 690 9,4 10 522 10,1 11 151 10,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 18,1 18,1 17,9
15 to 29 years old 18,0 17,5 16,4
30 to 44 years old 19,6 18,1 17,1
45 to 59 years old 21,4 20,3 20,2
60 to 74 years old 13,5 15,9 17,8
75 and over 9,4 10,1 10,6
  • 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 75 501 86 763 90 846 97 697 101 314 103 332 104 620 105 445
Average density (inhab / km²) 95,3 109,5 114,7 123,3 127,9 130,4 132,1 133,1
  • (*) 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 % 2,0 0,7 0,9 0,4 0,2 0,2 0,1
due to the natural balance in % 0,9 0,7 0,5 0,4 0,4 0,5 0,2
due to the apparent balance of inflows and outflows in % 1,1 –0,0 0,4 –0,0 –0,2 –0,2 –0,1
Natality rate (‰) 19,0 15,8 13,9 12,8 12,5 13,0 11,6
Mortality rate (‰) 10,3 9,2 8,6 8,4 8,4 8,3 9,2
  • 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 50 795 100,0 54 650 100,0
0 to 14 years old 9 698 19,1 9 219 16,9
15 to 29 years old 9 000 17,7 8 316 15,2
30 to 44 years old 8 755 17,2 9 238 16,9
45 to 59 years old 10 271 20,2 10 984 20,1
60 to 74 years old 8 713 17,2 10 100 18,5
75 to 89 years old 3 895 7,7 5 599 10,2
90 years and over 463 0,9 1 194 2,2
0 to 19 years old 13 272 26,1 12 354 22,6
20 to 64 years old 27 673 54,5 29 026 53,1
65 and over 9 850 19,4 13 271 24,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 103 374 100,0 104 360 100,0
In the same house 91 011 88,0 92 588 88,7
In another house in the same town 4 434 4,3 4 421 4,2
In another town 7 929 7,7 7 351 7,0
  • 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 46,2 53,8
15 to 24 years old 29,6 70,4
25 to 54 years old 39,2 60,8
55 years old and over 33,0 67,0
  • 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 84 731 100,0 85 739 100,0 86 574 100,0
Farmer operators 523 0,6 377 0,4 377 0,4
Craftsmen, traders, business leaders 2 396 2,8 2 508 2,9 2 555 3,0
Managers and higher intellectual professions 6 342 7,5 6 701 7,8 7 216 8,3
Middle-level occupations 12 066 14,2 12 561 14,7 12 550 14,5
Services employee 14 632 17,3 13 901 16,2 13 310 15,4
Blue-collar workers 12 414 14,7 11 895 13,9 11 093 12,8
Retirees 23 475 27,7 25 436 29,7 26 482 30,6
Other people with no professional activity 12 882 15,2 12 360 14,4 12 992 15,0
  • 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 41 242 45 331 100,0 100,0 100,0
Farmer operators 290 86 0,1 0,7 0,3
Craftsmen, traders, business leaders 1 789 765 0,5 4,6 2,0
Managers and higher intellectual professions 4 233 2 983 1,1 14,5 4,2
Middle-level occupations 5 768 6 782 7,6 25,1 5,7
Services employee 3 074 10 236 14,8 24,6 6,0
Blue-collar workers 8 770 2 323 14,4 20,9 3,9
Retirees 11 877 14 605 0,0 0,1 72,0
Other people without professional activity 5 440 7 552 61,4 9,5 5,8
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 45 306 100,0 47 404 100,0 48 464 100,0 100 503 102 132 102 904
One-person households (male and female) 15 841 35,0 17 652 37,2 18 923 39,0 15 841 17 652 18 923
 Single Male 6 600 14,6 7 425 15,7 8 127 16,8 6 600 7 425 8 127
 Single Female 9 242 20,4 10 228 21,6 10 796 22,3 9 242 10 228 10 796
Other households without families 906 2,0 971 2,0 737 1,5 2 196 2 333 1 676
Family households: 28 559 63,0 28 781 60,7 28 804 59,4 82 466 82 147 82 305
 Couple with no children 13 064 28,8 13 524 28,5 13 453 27,8 26 614 27 461 27 371
 Couple with children 11 934 26,3 11 502 24,3 11 175 23,1 46 174 44 779 43 712
 Single parent 3 560 7,9 3 754 7,9 4 177 8,6 9 678 9 907 11 222
  • 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 3,06 2,90 2,67 2,55 2,35 2,22 2,15 2,12
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

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

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

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 6,5 9,7 12,1
20 to 24 years old 20,2 27,6 24,3
25 to 39 years old 16,3 16,4 17,3
40 to 54 years old 14,9 15,4 17,0
55 to 64 years old 18,4 21,1 23,6
65 to 79 years old 27,0 26,8 27,1
80 and over 48,7 49,3 49,4
  • 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 4,1 2,5 2,5
20 to 24 years old 29,6 28,3 26,5
25 to 39 years old 68,4 68,1 66,7
40 to 54 years old 72,9 71,9 70,6
55 to 64 years old 75,2 72,6 70,2
65 to 79 years old 67,7 68,6 69,5
80 and over 38,9 41,7 41,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 43,8
Civil partnership 5,1
In cohabitation 11,0
Widowed 7,6
Divorced 6,9
Single 25,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 48 464 100,0 102 904 100,0
Farmer operators 289 0,6 755 0,7
Craftsmen, traders, business leaders 1 758 3,6 4 777 4,6
Managers and higher intellectual professions 4 901 10,1 12 395 12,0
Middle-level occupations 7 868 16,2 18 636 18,1
Services employee 7 536 15,5 17 750 17,2
Blue-collar workers 7 362 15,2 19 389 18,8
Retirees 15 568 32,1 23 778 23,1
Other people with no professional activity 3 182 6,6 5 425 5,3
  • 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 0,6
Handicrafters, traders, business leaders 3,6
Managers and higher intellectual professions 10,1
Middle-level occupations 16,2
Services employee 15,5
Blue-collar workers 15,2
Retirees 32,1
Unemployed persons 6,6
  • 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 28 709 100,0 28 927 100,0 29 030 100,0
Couple with children 11 961 41,7 11 510 39,8 11 220 38,7
Single parent 3 616 12,6 3 824 13,2 4 269 14,7
Male single parent 533 1,9 644 2,2 840 2,9
Female single parent 3 083 10,7 3 180 11,0 3 429 11,8
Couple with no children 13 131 45,7 13 593 47,0 13 541 46,6
  • 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 28 709 100,0 28 927 100,0 29 030 100,0
No children 14 462 50,4 14 812 51,2 15 042 51,8
1 child 6 035 21,0 6 015 20,8 5 795 20,0
2 children 5 733 20,0 5 467 18,9 5 541 19,1
3 children 1 786 6,2 1 956 6,8 1 865 6,4
4 children and over 692 2,4 677 2,3 785 2,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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 27 478 33 203 39 089 42 646 47 019 51 533 54 106 56 147
Main residences 23 784 28 797 33 023 37 431 41 998 45 293 47 381 48 493
Second homes 1 814 2 177 2 336 2 590 2 031 1 834 1 827 2 092
Vacant dwellings 1 880 2 229 3 730 2 625 2 990 4 405 4 898 5 562
  • (*) 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 51 533 100,0 54 106 100,0 56 147 100,0
Main residences 45 293 87,9 47 381 87,6 48 493 86,4
Second homes 1 834 3,6 1 827 3,4 2 092 3,7
Vacant dwellings 4 405 8,5 4 898 9,1 5 562 9,9
Houses 31 825 61,8 34 024 62,9 35 359 63,0
Flats 19 176 37,2 19 666 36,3 20 327 36,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 45 293 100,0 47 381 100,0 48 493 100,0
1 room 2 156 4,8 2 446 5,2 2 189 4,5
2 rooms 4 683 10,3 5 061 10,7 5 185 10,7
3 rooms 9 286 20,5 9 601 20,3 9 304 19,2
4 rooms 12 291 27,1 12 557 26,5 12 927 26,7
5 rooms and over 16 876 37,3 17 716 37,4 18 887 38,9
  • 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 4,1 4,1 4,2
Houses 4,8 4,8 4,9
Flats 3,0 2,9 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 2,7
Non-over-occupied 97,3
  • 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 47 668 100,0
before 1919 6 438 13,5
from 1919 to 1945 2 834 5,9
from 1946 to 1970 10 000 21,0
from 1971 to 1990 15 814 33,2
from 1991 to 2005 7 514 15,8
from 2006 to 2015 5 068 10,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 5 293 1 134
from 1919 to 1945 2 133 696
from 1946 to 1970 4 955 4 920
from 1971 to 1990 9 868 5 870
from 1991 to 2005 5 148 2 269
from 2006 to 2015 3 628 1 398
  • 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 48 493 100,0 102 874 4,2 2,0
Less than 2 years 6 103 12,6 11 729 3,2 1,7
From 2 to 4 years 9 477 19,5 20 817 3,6 1,6
From 5 to 9 years 8 129 16,8 20 330 4,1 1,7
10 years and over 24 783 51,1 49 999 4,7 2,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 12,6
From 2 to 4 years 19,5
From 5 to 9 years 16,8
From 10 to 19 years 20,0
From 20 to 29 years 10,9
30 years and over 20,2
  • 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 45 293 100,0 47 381 100,0 48 493 100,0 102 874 15,7
Homeowner 26 717 59,0 28 168 59,4 28 913 59,6 63 415 21,4
Tenant 17 547 38,7 18 363 38,8 18 734 38,6 37 718 7,2
(including social sector housing) 8 336 18,4 8 166 17,2 8 281 17,1 19 873 10,0
Housed for free 1 029 2,3 850 1,8 846 1,7 1 741 10,3
  • 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 45 293 100,0 47 381 100,0 48 493 100,0
Bathroom including a shower or a bath 44 274 97,8 46 583 98,3 47 232 97,4
Collective central heating 7 315 16,2 7 220 15,2 7 460 15,4
Individual central heating 22 814 50,4 22 681 47,9 23 256 48,0
Individual electric heating 10 911 24,1 12 279 25,9 12 963 26,7
  • 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 45 293 100,0 47 381 100,0 48 493 100,0
At least one parking spot 29 993 66,2 32 891 69,4 33 820 69,7
At least one car 38 598 85,2 40 573 85,6 41 634 85,9
1 car 21 627 47,7 22 668 47,8 22 919 47,3
2 cars and over 16 971 37,5 17 905 37,8 18 715 38,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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 4 878 3 645 74,7 73,1 76,4
6 to 10 years old 6 611 6 406 96,9 96,9 96,9
11 to 14 years old 5 273 5 174 98,1 98,4 97,8
15 to 17 years old 4 045 3 864 95,5 94,5 96,6
18 to 24 years old 7 792 3 912 50,2 50,1 50,3
25 to 29 years old 5 479 312 5,7 5,5 5,9
30 years old and over 69 212 603 0,9 0,8 1,0
  • 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 75,1 72,5 74,7
6 to 10 years old 98,4 98,4 96,9
11 to 14 years old 99,1 99,2 98,1
15 to 17 years old 95,7 96,4 95,5
18 to 24 years old 46,4 46,8 50,2
25 to 29 years old 5,1 4,8 5,7
30 years old and over 0,8 0,7 0,9
  • 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 77 837 36 623 41 215
Proportion of graduates in percentage
No diploma or primary education certificate 22,4 19,7 24,7
BEPC brevet des collèges or DNB 5,2 4,2 6,0
CAP, BEP or equivalent 27,2 32,3 22,7
Baccalauréat, brevet professionnel or equivalent 16,4 15,8 16,9
2 years at university 11,3 10,5 12,0
3 to 4 years at university 9,0 7,5 10,4
5 years and over at university 8,5 10,0 7,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 31,0 22,4
BEPC brevet des collèges or DNB 5,8 5,2
CAP, BEP or equivalent 26,3 27,2
Baccalauréat, brevet professionnel or equivalent 15,3 16,4
2 years and over at university 21,6 28,8
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

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

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

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

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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 66 503 65 644 63 407
Labor force in % 72,8 73,4 73,7
 including people in work in % 64,4 64,0 64,3
 including unemployed workers in % 8,4 9,4 9,4
Economically inactive people in % 27,2 26,6 26,3
 including pupils, students or interns in % 9,6 9,8 10,3
 including retirees in % 9,3 9,5 7,7
 including other economically inactive people in % 8,4 7,3 8,3
  • 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 63 407 46 761 73,7 40 776 64,3
 15 to 24 years old 11 838 4 831 40,8 3 627 30,6
 25 to 54 years old 37 695 34 225 90,8 30 191 80,1
 55 to 64 years old 13 874 7 705 55,5 6 958 50,1
Male 31 247 23 720 75,9 20 686 66,2
 15 to 24 years old 6 273 2 711 43,2 2 048 32,6
 25 to 54 years old 18 478 17 282 93,5 15 303 82,8
 55 to 64 years old 6 496 3 726 57,4 3 335 51,3
Female 32 160 23 042 71,6 20 090 62,5
 15 to 24 years old 5 565 2 120 38,1 1 579 28,4
 25 to 54 years old 19 217 16 943 88,2 14 887 77,5
 55 to 64 years old 7 378 3 979 53,9 3 623 49,1
  • 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 64,3
Unemployed workers 9,4
Retirees 7,7
Pupils, students or interns 10,3
Other economically inactive people 8,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 48 547 42 922 48 036 41 825 47 022 40 981
including
 Farmer operators 498 493 354 354 356 345
 Handicrafters, traders and business leaders 2 339 2 191 2 435 2 255 2 440 2 300
 Managers and higher intellectual professions 6 287 6 097 6 588 6 373 7 077 6 790
 Middle-level occupations 12 017 11 197 12 495 11 417 12 426 11 569
 Services employee 14 550 12 716 13 793 11 789 13 136 11 179
 Blue-collar workers 12 367 10 228 11 834 9 636 11 020 8 797
  • 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 5 560 6 164 5 985
Unemployment rate in % 11,5 12,8 12,8
Unemployment of the 15-24 aged 23,8 27,9 24,9
Unemployment of the 25-54 aged 10,2 11,3 11,8
Unemployment of the 55-64 aged 7,5 8,4 9,7
  • 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 27,2
BEPC brevet des collèges or DNB 20,7
CAP, BEP or equivalent 13,5
Baccalauréat, brevet professionnel or equivalent 13,3
2 years at university 8,4
3 to 4 years at university 7,1
5 years and over at university 5,8
  • 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 51 580 51 300 49 820
People in work living in the area 43 113 42 414 41 485
Employment concentration indicator 119,6 121,0 120,1
Activity rate of 15 years old and over in % 57,5 56,7 54,9
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 51 580 100,0 51 300 100,0 49 820 100,0
Employee 46 984 91,1 46 454 90,6 44 866 90,1
 including women 24 118 46,8 24 316 47,4 23 332 46,8
 including part-time workers 7 748 15,0 7 495 14,6 7 099 14,2
Non-employee 4 596 8,9 4 847 9,4 4 954 9,9
 including women 1 543 3,0 1 726 3,4 1 859 3,7
 including part-time workers 461 0,9 549 1,1 711 1,4
  • 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 49 916 100,0
Farmer operators 381 0,8
Handicrafters, traders, business leaders 2 677 5,4
Managers and higher intellectual professions 7 812 15,7
Middle-level occupations 14 369 28,8
Services employee 14 189 28,4
Blue-collar workers 10 486 21,0
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 1,0 0,8 0,8
Handicrafters, traders, business leaders 4,9 5,1 5,4
Managers and higher intellectual professions 13,5 14,0 15,7
Middle-level occupations 26,3 27,8 28,8
Services employee 30,2 29,6 28,4
Blue-collar workers 24,1 22,7 21,0
  • 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 51 758 100,0 51 200 100,0 49 916 100,0 50,6 91,1
Agriculture 886 1,7 652 1,3 660 1,3 25,6 43,9
Industry 7 674 14,8 7 714 15,1 7 172 14,4 24,5 94,9
Construction 3 509 6,8 3 118 6,1 2 907 5,8 12,8 79,2
Wholesale and retail trade/transports/accommodations and food service activities 22 334 43,2 22 609 44,2 21 618 43,3 49,3 89,2
Public administration/education/healthcare/social work 17 355 33,5 17 107 33,4 17 560 35,2 70,0 95,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 29,6 22,5
Industry 23,9 35,6
Construction 15,2 3,7
Wholesale and retail trade, transports, accommodations and food service activities 50,9 36,1
Public administration, education, healthcare, social work 70,7 54,3
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

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

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

Characteristics of employment in the sense of the census in 2019

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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 41 467 100,0 15,6 49,2
Employees 36 909 89,0 15,8 50,7
Non-employees 4 558 11,0 14,2 37,5
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 21 056 100 20 411 100
Employees 18 206 86,5 18 704 91,6
 Tenured personnel and open-ended employment contracts 15 109 71,8 15 709 77,0
 Fixed-term employment contracts 1 500 7,1 2 098 10,3
 Temporary employment 772 3,7 364 1,8
 Assisted jobs 150 0,7 144 0,7
 Apprentice ship contract - Traineeship 675 3,2 389 1,9
Non-employees 2 851 13,5 1 707 8,4
 Independents 1 476 7,0 1 122 5,5
 Employers 1 341 6,4 553 2,7
 Caregivers 33 0,2 32 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 18 031 7,6 18 449 22,9
15 to 24 years old 1 966 21,6 1 540 27,0
25 to 54 years old 13 429 5,3 13 670 21,3
55 to 64 years old 2 636 8,9 3 239 27,6
  • 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 5,7 7,1 8,1
Female 26,8 24,5 23,4
  • 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 43 093 100 42 408 100 41 467 100
working :
in their residential zone 17 272 40,1 15 798 37,3 15 134 36,5
in another zone 25 821 59,9 26 610 62,7 26 333 63,5
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 3,9
Walking 5,6
Bicycle 2,4
Motorized two-wheeled vehicles 1,3
Car or truck 81,2
Public transports 5,6
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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 932 991 984 994 941 1 063 1 068 1 114
Domiciled births 1 331 1 237 1 178 1 104 1 157 1 089 1 087 1 142
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

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

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

Household income and poverty in 2020

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 47 524
Number of people in tax households 104 753
Median disposable income (per consumption unit in euros) 22 310
Share of actually taxed tax households (in %) 51,7
  • 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 14,4
Less than 30 years old 23,2
30 to 39 years old 20,5
40 to 49 years old 17,9
50 to 59 years old 13,2
60 to 74 years old 8,3
75 and over 6,8
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

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

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 14,4
Homeowner 5,0
Tenant 31,5
  • 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 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 67,8
including wages 60,3
including unemployment pensions 3,0
including self-employed income 4,5
Retirement pension or annuity 32,9
Capital income (real estate, financial, others) 7,7
Social benefits 6,7
including child benefit 2,3
including income support 3,1
including housing benefit 1,3
Tax –15,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 22 310
Inter-decile ratio 3,1
1st decile (in euros) 11 960
9th decile (in euros) 37 020
  • 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 CA de Blois "Agglopolys" (200030385)

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 14,8 13,5 15,8
Managerial staff* 25,7 22,8 27,1
Middle-level occupations 15,4 14,5 16,1
Services employee 11,3 11,2 11,4
Blue-collar workers 11,8 10,7 12,1
  • * 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 –14,4
Managerial staff* –16,2
Middle-level occupations –10,0
Services employee –1,9
Blue-collar workers –11,6
  • * 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 10,6 10,4 10,7
26 to 50 years old 14,5 13,4 15,2
50 years old or over 17,3 15,0 19,0
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –2,8
26 to 50 years old –12,0
50 years old and over –20,9
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

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

Characteristics of establishments at the end of 2020

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 3 598 100,0 252 2 547 386 246 167
Agriculture, forestry and fishing 103 2,9 18 79 5 0 1
Industrial economy 236 6,6 9 137 38 24 28
Building industry 370 10,3 41 261 39 24 5
Trade, transport, various services 2 341 65,1 164 1 777 217 127 56
including trade and car repair 705 19,6 36 537 79 40 13
Administration publique, enseignement, santé, action sociale 548 15,2 20 293 87 71 77
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

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

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 46 403 100,0 8 061 5 134 7 648 6 151 19 409
Agriculture, forestry and fishing 277 0,6 153 63 0 61 0
Industrial economy 6 346 13,7 471 507 765 809 3 794
Building industry 2 445 5,3 863 535 679 246 122
Trade, transport, various services 20 300 43,7 5 465 2 879 3 972 1 769 6 215
including trade and car repair 5 608 12,1 1 822 1 059 1 231 516 980
Administration publique, enseignement, santé, action sociale 17 035 36,7 1 109 1 150 2 232 3 266 9 278
  • 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* 15,2
Trade, transport, various services* 65,1
Building industry* 10,3
Industrial economy* 6,6
Agriculture, forestry and fishing* 2,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

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

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

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

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 4,6
20 to 49 employees 6,8
10 to 19 employees 10,7
1 to 9 employee(s) 70,8
0 employee 7,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

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

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

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

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 3 598 100,0 46 403 100,0
Productive sphere* 1 005 27,9 14 060 30,3
of which public domain* 3 0,1 299 0,6
Presential sphere 2 593 72,1 32 343 69,7
of which public domain* 265 7,4 11 889 25,6
  • 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 6 670 100,0
Employers of childminders 2 105 31,6
Employers of other employees 4 565 68,4
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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

DEN T1 - Business set-ups by sector of activity in 2021
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 1 149 100,0 856 74,5
Industry 50 4,4 36 72,0
Construction 109 9,5 63 57,8
Wholesale and retail trade/transports/accommodations and food service activities 398 34,6 282 70,9
Information/communication 55 4,8 48 87,3
Finance and insurance activities 27 2,3 5 18,5
Real estate activities 44 3,8 25 56,8
Professional/scientific/technical activites/administrative and support service activities 211 18,4 166 78,7
Public administration/education/healthcare/social work 128 11,1 117 91,4
Other service activities 127 11,1 114 89,8
  • 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 678 679 647 605 652 711 784 990 1 061 1 149
Sole proprietorship 453 485 478 422 423 488 549 703 808 856
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G1 - Business set-ups

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

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

DEN T3 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 6 643 100,0
Industry 456 6,9
Construction 736 11,1
Wholesale and retail trade/transports/accommodations and food service activities 1 971 29,7
Information/communication 168 2,5
Finance and insurance activities 277 4,2
Real estate activities 278 4,2
Professional/scientific/technical activites/administrative and support service activities 1 037 15,6
Public administration/education/human health/social work 1 071 16,1
Other service activities 649 9,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

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

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 1 315 100,0
Industry 69 5,2
Construction 112 8,5
Wholesale and retail trade/transports/accommodations and food service activities 466 35,4
Information/communication 60 4,6
Finance and insurance activities 28 2,1
Real estate activities 53 4,0
Professional/scientific/technical activites/administrative and support service activities 243 18,5
Public administration/education/healthcare/social work 143 10,9
Other service activities by the number of business creations including free lancers 141 10,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 809 784 745 703 767 828 897 1 118 1 199 1 315
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

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

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

DEN T5 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 7 914 100,0
Industry 569 7,2
Construction 793 10,0
Wholesale and retail trade/transports/accommodations and food service activities 2 505 31,7
Information/communication 189 2,4
Finance and insurance activities 404 5,1
Real estate activities 333 4,2
Professional/scientific/technical activites/administrative and support service activities 1 244 15,7
Public administration/education/human health/social work 1 188 15,0
Other service activities 689 8,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

inter-communality metropolis of CA de Blois "Agglopolys" (200030385)

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 44 1 683
1 star 2 78
2 stars 11 428
3 stars 18 624
4 stars 4 234
5 stars 4 153
Non-ranked 5 166
  • 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 9 1 484
1 star 0 0
2 stars 2 198
3 stars 1 120
4 stars 3 678
5 stars 2 468
Non-ranked 1 20
  • 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 3 410
Tourist accommodations 1 190
Holiday villages or private homes 0 0
Youth hostels 2 220
  • (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.