données locales

Paru le : 06/11/2025

Full set of local data Employment area 2020 of Chartres (2403)

Detailed figures
Paru le :Paru le06/11/2025
- November 2025

The data presented is published in Geography 2024 or 2025, depending on the source.

For statistical confidentiality reasons, some indicators may not be provided.

Growth and structure of the population in 2022

Employment area 2020 of Chartres (2403)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 205 069 100,0 208 732 100,0 209 665 100,0
0 to 14 years old 40 232 19,6 40 914 19,6 39 046 18,6
15 to 29 years old 35 332 17,2 33 397 16,0 32 729 15,6
30 to 44 years old 42 032 20,5 40 618 19,5 39 377 18,8
45 to 59 years old 43 249 21,1 42 845 20,5 43 287 20,6
60 to 74 years old 27 810 13,6 32 879 15,8 35 861 17,1
75 and over 16 415 8,0 18 080 8,7 19 364 9,2
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2011 2016 2022
0 to 14 years old 19,6 19,6 18,6
15 to 29 years old 17,2 16,0 15,6
30 to 44 years old 20,5 19,5 18,8
45 to 59 years old 21,1 20,5 20,6
60 to 74 years old 13,6 15,8 17,1
75 and over 8,0 8,7 9,2
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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)
Population and average density 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Population 127 358 147 016 163 190 183 105 193 017 198 685 205 069 208 732 209 665
Average density (inhab / km²) 59,4 68,6 76,1 85,4 90,0 92,6 95,6 97,3 97,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % 2,1 1,5 1,4 0,6 0,4 0,6 0,4 0,1
due to the natural balance in % 0,8 0,6 0,6 0,5 0,6 0,6 0,5 0,2
due to the apparent balance of inflows and outflows in % 1,3 0,9 0,8 0,1 –0,1 0,1 –0,1 –0,2
Natality rate (‰) 18,2 15,3 15,0 13,3 13,5 13,4 12,6 11,1
Mortality rate (‰) 10,6 9,6 8,5 8,0 7,9 7,6 7,9 8,8
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 101 976 100,0 107 689 100,0
0 to 14 years old 19 919 19,5 19 127 17,8
15 to 29 years old 16 800 16,5 15 929 14,8
30 to 44 years old 19 216 18,8 20 161 18,7
45 to 59 years old 21 339 20,9 21 948 20,4
60 to 74 years old 17 005 16,7 18 856 17,5
75 to 89 years old 6 904 6,8 9 768 9,1
90 years and over 793 0,8 1 899 1,8
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T3bis - Population by age and sex in 2022

POP T3bis - Population by age and sex in 2022
Age Male % Female %
Ensemble 101 976 100,0 107 689 100,0
0 to 19 years old 26 509 26,0 24 975 23,2
20 to 64 years old 57 004 55,9 58 875 54,7
65 and over 18 463 18,1 23 838 22,1
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2011 % 2016 % 2022 %
People one year old and over, previously living 202 373 100,0 206 313 100,0 207 405 100,0
In the same house 180 201 89,0 185 011 89,7 187 349 90,3
In another house in the same town 5 577 2,8 5 665 2,7 5 063 2,4
In another town 16 596 8,2 15 637 7,6 14 994 7,2
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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 29,5 70,5
15 to 24 years old 23,2 76,8
25 to 54 years old 24,2 75,8
55 years old and over 25,8 74,2
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T5 - Population aged 15 years and over by current or previous socio-professional group

POP T5 - Population aged 15 years and over by current or previous socio-professional group
Socioprofessional group 2011 % 2016 % 2022 %
Altogether 164 667 100,0 168 268 100,0 170 537 100,0
Farmer operators 1 347 0,8 1 147 0,7 1 117 0,7
Craftsmen, traders, business leaders 4 719 2,9 4 843 2,9 5 353 3,1
Managers and higher intellectual professions 13 957 8,5 14 633 8,7 17 262 10,1
Middle-level occupations 26 602 16,2 27 749 16,5 27 782 16,3
Services employee 30 074 18,3 29 351 17,4 27 397 16,1
Blue-collar workers 25 360 15,4 23 790 14,1 22 760 13,3
Retirees 42 100 25,6 45 966 27,3 48 258 28,3
Other people with no professional activity 20 509 12,5 20 789 12,4 20 608 12,1
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 82 248 88 289 100,0 100,0 100,0
Farmer operators 888 229 0,1 0,7 0,7
Craftsmen, traders, business leaders 3 637 1 716 0,7 5,0 1,8
Managers and higher intellectual professions 10 488 6 774 1,7 16,3 5,7
Middle-level occupations 12 826 14 955 9,8 26,8 6,4
Services employee 6 474 20 923 16,7 24,0 6,9
Blue-collar workers 17 771 4 990 15,1 20,1 5,1
Retirees 21 676 26 581 0,0 0,2 68,9
Other people with no professional activity 8 489 12 120 55,9 6,8 4,6
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Employment area 2020 of Chartres (2403)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 86 272 100,0 89 235 100,0 93 744 100,0 201 453 205 065 206 256
One-person households (male and female) 26 479 30,7 28 681 32,1 33 647 35,9 26 479 28 681 33 647
 Single Male 11 332 13,1 12 142 13,6 14 942 15,9 11 332 12 142 14 942
 Single Female 15 147 17,6 16 539 18,5 18 705 20,0 15 147 16 539 18 705
Other households without families 1 589 1,8 1 408 1,6 906 1,0 3 721 3 438 1 946
Family households : 58 204 67,5 59 146 66,3 59 191 63,1 171 253 172 945 170 664
 Couple without children 24 622 28,5 25 499 28,6 25 799 27,5 50 250 51 907 52 292
 Couple with children 26 514 30,7 26 151 29,3 24 616 26,3 102 441 101 531 95 501
 Single parent 7 068 8,2 7 496 8,4 8 776 9,4 18 562 19 508 22 872
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Average number of occupants per main residence 3,12 2,92 2,76 2,70 2,53 2,40 2,33 2,30 2,20
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G1 - Growth estimates of households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

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

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2011 2016 2022
15 to 19 years old 1,8 2,4 2,9
20 to 24 years old 13,8 14,4 18,8
25 to 39 years old 13,4 13,3 15,8
40 to 54 years old 12,0 12,5 14,3
55 to 64 years old 17,8 19,6 22,4
65 to 79 years old 25,8 26,0 28,1
80 and above 48,1 47,4 49,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

FAM G3 - People aged 15 and over reporting living as a couple
2011 2016 2022
15 to 19 years old 2,6 1,9 1,8
20 to 24 years old 32,1 29,4 27,0
25 to 39 years old 72,6 71,6 68,9
40 to 54 years old 76,8 75,5 73,5
55 to 64 years old 76,2 74,2 71,6
65 to 79 years old 68,9 69,5 68,3
80 and above 39,8 41,2 42,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

FAM G4 - Marital status of the population aged 15 years or over in 2022
%
Married 43,4
Civil partnership 6,9
In cohabitation 11,5
Widowed 6,7
Divorced 6,4
Single 25,0
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM T2 - Households by socioprofessionnal group of the reference person in 2022

FAM T2 - Households by socioprofessionnal group of the reference person in 2022
Socioprofessional group Number of households % Household population %
Altogether 93 744 100,0 206 256 100,0
including farmer operators 747 0,8 1 938 0,9
including craftsmen, traders, business leaders 3 527 3,8 9 797 4,8
including managers and higher intellectual professions 11 594 12,4 30 414 14,7
including intermediate professions 16 658 17,8 41 994 20,4
including employees 14 884 15,9 35 558 17,2
including workers 14 717 15,7 37 776 18,3
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 0,8
Handicrafters, traders, business leaders 3,8
Managers and higher intellectual professions 12,4
Intermediate professions 17,8
Employees 15,9
Workers 15,7
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 58 588 100,0 59 478 100,0 59 538 100,0
Couple with children 26 593 45,4 26 199 44,0 24 639 41,4
Single parent 7 247 12,4 7 687 12,9 8 938 15,0
 Male single parent 1 287 2,2 1 402 2,4 1 864 3,1
 Female single parent 5 959 10,2 6 285 10,6 7 074 11,9
Couple without children 24 748 42,2 25 591 43,0 25 961 43,6
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM T3bis - Detailed composition of families composed of couples with child(ren)

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2022 %
Altogether 24 639 100,0
Traditional family 21 587 87,6
Blended family 3 052 12,4
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 58 588 100,0 59 478 100,0 59 538 100,0
Without any 27 515 47,0 28 885 48,6 29 573 49,7
1 child 13 226 22,6 12 681 21,3 12 580 21,1
2 children 12 458 21,3 12 232 20,6 11 989 20,1
3 children 4 141 7,1 4 304 7,2 4 041 6,8
4 children or above 1 247 2,1 1 376 2,3 1 355 2,3
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Employment area 2020 of Chartres (2403)

LOG T1 - Growth estimates of the number of housings by category since 1968

LOG T1 - Growth estimates of the number of housings by category since 1968
Housing category 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Altogether 47 570 58 444 69 410 77 108 84 530 90 338 96 344 100 617 105 557
Principal residences 39 608 48 734 57 805 66 587 75 017 81 249 86 277 89 292 93 606
Second dwellings and occasional dwellings 5 441 6 561 6 821 6 562 5 266 4 098 3 724 3 846 3 917
Vacant accommodations 2 521 3 149 4 784 3 959 4 247 4 992 6 343 7 479 8 034
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.

LOG T1bis - Categories of housings

LOG T1bis - Categories of housings
Category of housing 2011 2016 2022
Principal residences 89,6 88,7 88,7
Second dwellings and occasional dwellings 3,9 3,8 3,7
Vacant dwellings 6,6 7,4 7,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T2 - Types of housings

LOG T2 - Types of housings
Type of housing 2011 % 2016 % 2022 %
Altogether 96 344 100,0 100 617 100,0 105 557 100,0
Houses 64 724 67,2 67 488 67,1 70 171 66,5
Flats 30 908 32,1 32 545 32,3 34 798 33,0
Others 711 0,7 584 0,6 589 0,6
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T2bis - Contributions to the change in the number of principal residences

LOG T2bis - Contributions to the change in the number of principal residences
Contributions 2011-2016 % 2016-2022 %
Total change 3 015 3,1 4 314 4,3
due to the household size effect 1 432 1,5 3 742 3,7
due to the demographic effect 1 583 1,6 572 0,6
  • Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
Number of rooms 2011 % 2016 % 2022 %
Altogether 86 277 100,0 89 292 100,0 93 606 100,0
1 room 3 263 3,8 3 117 3,5 3 216 3,4
2 rooms 9 192 10,7 9 428 10,6 10 128 10,8
3 rooms 16 926 19,6 16 748 18,8 17 695 18,9
4 rooms 21 197 24,6 21 840 24,5 21 600 23,1
5 rooms or above 35 699 41,4 38 159 42,7 40 966 43,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 4,2 4,3 4,3
House 4,9 4,9 5,0
Flat 2,9 2,9 2,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4bis - Dwelling occupancy index

LOG T4bis - Dwelling occupancy index
Occupancy index 2011 2016 2022
Standard occupancy 18,7 18,5 17,8
Moderate over-occupation 6,1 5,9 5,5
Severe over-occupation 0,4 0,5 0,4
Moderate under-occupation 24,4 23,5 22,9
Severe under-occupation 23,4 23,0 22,2
Very severe under-occupation 27,1 28,7 31,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 91 718 100,0
Before 1919 11 516 12,6
From 1919 to 1945 5 390 5,9
From 1946 to 1970 18 361 20,0
From 1971 to 1990 29 995 32,7
From 1991 to 2005 13 139 14,3
From 2006 to 2019 13 317 14,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

LOG G1 - Principal residences in 2022 by completion period and housing category
House Flat
Before 1919 10 162 1 338
From 1919 to 1945 4 550 834
From 1946 to 1970 10 458 7 818
From 1971 to 1990 20 073 9 761
From 1991 to 2005 8 806 4 264
From 2006 to 2018 8 344 4 878
  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T6 - Length of residence in the main residences in 2022

LOG T6 - Length of residence in the main residences in 2022
Length of residence Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 93 606 100,0 206 303 4,3 2,0
Less than 2 years ago 10 523 11,2 20 920 3,4 1,7
From 2 to 4 years ago 18 730 20,0 42 427 3,8 1,7
From 5 to 9 years ago 16 163 17,3 41 171 4,2 1,7
10 years ago or above 48 189 51,5 101 784 4,8 2,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

LOG G2 - Length of residence of households in 2022
Share of households in%
Less than 2 years ago 11,2
From 2 to 4 years ago 20,0
From 5 to 9 years ago 17,3
From 10 to 19 years ago 19,7
From 20 to 29 years ago 12,5
30 years ago or above 19,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T7 - Principal residences by housing tenure

LOG T7 - Principal residences by housing tenure
2011 2016 2022
Housing tenure Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 86 277 100,0 89 292 100,0 93 606 100,0 206 303 15,9
Homeowner 54 474 63,1 56 724 63,5 59 683 63,8 139 320 20,1
Tenant 30 530 35,4 31 315 35,1 32 733 35,0 64 640 8,3
including public tenants 15 598 18,1 15 565 17,4 15 827 16,9 33 980 11,6
Housed for free 1 274 1,5 1 254 1,4 1 190 1,3 2 343 11,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T8M - Comfort of principal residences: primary heating fuel

LOG T8M - Comfort of principal residences: primary heating fuel
Fuel 2011 % 2016 % 2022 %
Town gas - district heating network 31 529 36,5 32 318 36,2 35 246 37,7
Fuel oil 14 642 17,0 12 279 13,8 10 023 10,7
Electricity 30 459 35,3 33 698 37,7 36 060 38,5
Bottled or tank gas 2 457 2,8 2 107 2,4 1 977 2,1
Other (wood, solar, geothermal, etc.) 7 191 8,3 8 890 10,0 10 300 11,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9 - Household automotive equipment

LOG T9 - Household automotive equipment
Equipment 2011 % 2016 % 2022 %
At least one car 74 738 86,6 78 005 87,4 81 733 87,3
 1 car 40 344 46,8 41 301 46,3 43 556 46,5
 2 cars or above 34 395 39,9 36 704 41,1 38 177 40,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9bis - Parking space reserved for personal use

LOG T9bis - Parking space reserved for personal use
Parking space 2011 % 2016 % 2022 %
All principal residences 86 277 100,0 89 292 100,0 93 606 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 62 474 72,4 65 763 73,6 69 315 74,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Employment area 2020 of Chartres (2403)

FOR T1 - Schooling by age and sex in 2022

FOR T1 - Schooling by age and sex in 2022
Age Total Scholarized population Scholarized population in %
Altogether Male Female
2 to 5 years old 9 677 6 984 72,2 72,6 71,7
6 to 10 years old 13 623 13 327 97,8 97,7 97,9
11 to 14 years old 11 340 11 198 98,7 98,7 98,8
15 to 17 years old 8 639 8 304 96,1 95,8 96,5
18 to 24 years old 13 262 4 917 37,1 34,9 39,5
25 to 29 years old 10 828 495 4,6 3,8 5,4
30 years old or above 137 890 964 0,7 0,6 0,8
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 73,0 72,4 72,2
6 to 10 years old 98,9 98,2 97,8
11 to 14 years old 99,3 98,8 98,7
15 to 17 years old 97,0 95,9 96,1
18 to 24 years old 39,2 38,8 37,1
25 to 29 years old 2,8 3,8 4,6
30 years old or above 0,7 0,6 0,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR G1 - Schooling rate by age (in %)

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022
Altogether Male Female
Proportion of unschooled aged 15 years or above 155 938 74 742 81 196
Proportion of graduates in percentage
No diploma or primary education certificate 20,0 17,7 22,1
BEPC brevet des collèges or DNB 5,3 4,5 6,1
CAP, BEP or equivalent 26,7 32,2 21,7
Baccalauréat, brevet professionnel or equivalent 17,9 17,2 18,5
2 years at university 12,4 11,8 12,9
3 to 4 years at university 9,0 7,2 10,6
5 years or more at university 8,7 9,5 8,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
2011 2022
No diploma or primary education certificate 26,9 20,0
BEPC brevet des collèges or DNB 6,2 5,3
CAP, BEP or equivalent 27,4 26,7
Baccalauréat, brevet professionnel or equivalent 16,3 17,9
2 years or more at university 23,2 30,1
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

Active population, employment and unemployment within the meaning of the census in 2022

Employment area 2020 of Chartres (2403)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2011 2016 2022
Altogether 133 440 129 971 128 317
Working age adult in % 76,3 77,8 79,0
 Working age adults with a job in % 68,8 69,1 71,4
 Unemployed workers in % 7,5 8,7 7,6
Economically inactive people in % 23,7 22,2 21,0
 Pupils, students or interns in % 8,0 8,4 8,3
 Retirees in % 9,3 7,8 6,5
 Other economically inactive people in % 6,3 6,0 6,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 128 317 101 328 79,0 91 585 71,4
 15 to 24 years old 21 901 10 377 47,4 8 284 37,8
 25 to 54 years old 79 264 74 137 93,5 67 821 85,6
 55 to 64 years old 27 151 16 814 61,9 15 480 57,0
Male 63 594 51 676 81,3 46 909 73,8
 15 to 24 years old 11 467 5 856 51,1 4 654 40,6
 25 to 54 years old 38 845 37 331 96,1 34 428 88,6
 55 to 64 years old 13 282 8 489 63,9 7 826 58,9
Female 64 723 49 652 76,7 44 677 69,0
 15 to 24 years old 10 434 4 521 43,3 3 630 34,8
 25 to 54 years old 40 420 36 806 91,1 33 393 82,6
 55 to 64 years old 13 869 8 325 60,0 7 653 55,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 71,4
Unemployed workers 7,6
Retirees 6,5
Pupils, students or interns 8,3
Other economically inactive people 6,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 102 108 92 108 101 243 90 123 101 347 91 648
including farmer operators 1 270 1 270 1 055 1 041 976 971
including handicrafters, traders and business leaders 4 609 4 404 4 649 4 409 5 154 4 947
including managers and higher intellectual professions 13 823 13 427 14 421 13 945 16 890 16 451
including intermediate professions 26 498 24 717 27 480 25 531 27 588 25 965
including employees 29 947 26 593 29 039 25 402 27 167 23 834
including workers 25 250 21 698 23 631 19 795 22 587 19 479
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2011 2016 2022
Number of unemployed workers 9 999 11 321 9 742
Unemployment rate in % 9,8 11,2 9,6
Unemployment of the 15-24 aged 23,0 26,0 20,2
Unemployment of the 25-54 aged 8,2 9,6 8,5
Unemployment of the 55-64 aged 7,5 9,1 7,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 19,1
BEPC brevet des collèges or DNB 15,4
CAP, BEP or equivalent 11,0
Baccalauréat, brevet professionnel or equivalent 9,9
2 years at university 6,4
3 to 4 years at university 5,3
5 years or more at university 4,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 77 619 76 403 77 679
Working age adult living in the area 92 536 90 881 92 866
Occupational concentration by industry 83,9 84,1 83,6
employment rate of 15 years old or above in % 62,2 60,9 60,2
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations holdings, place of residence and place of work, geography as of 01/01/2025.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2011 % 2016 % 2022 %
Altogether 77 619 100,0 76 403 100,0 77 679 100,0
Employee 69 456 89,5 67 794 88,7 68 308 87,9
 including women 35 526 45,8 34 773 45,5 34 863 44,9
 including part time jobs 10 898 14,0 10 404 13,6 9 417 12,1
Non-employee 8 163 10,5 8 609 11,3 9 371 12,1
 including women 2 704 3,5 3 086 4,0 3 528 4,5
 including part time jobs 873 1,1 1 066 1,4 1 221 1,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 78 182 100,0
Farmer operators 1 068 1,4
Handicrafters, traders, business leaders 4 936 6,3
Managers and higher intellectual professions 12 306 15,7
Intermediate professions 21 198 27,1
Employees 20 437 26,1
Workers 18 238 23,3
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 1,8 1,5 1,4
Handicrafters, traders, business leaders 5,4 5,8 6,3
Managers and higher intellectual professions 12,8 13,5 15,7
Intermediate professions 25,2 27,2 27,1
Employees 29,2 28,2 26,1
Workers 25,6 23,8 23,3
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 78 090 100,0 76 273 100,0 78 182 100,0 49,3 88,9
Agriculture 1 823 2,3 1 655 2,2 1 576 2,0 22,3 34,6
Industry 13 571 17,4 12 848 16,8 12 760 16,3 33,8 95,1
Construction 5 755 7,4 5 421 7,1 5 257 6,7 9,7 76,6
Wholesale and retail trade/transports/accommodations and food service activities 34 269 43,9 33 075 43,4 35 440 45,3 47,0 87,4
Public administration/education/human health/social work 22 673 29,0 23 274 30,5 23 149 29,6 72,3 94,2
  • Sources : Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022
Employees Non-employees
Agriculture 25,2 20,7
Industry 33,6 38,1
Construction 11,3 4,7
Wholesale and retail trade, transports, accommodations and food service activities 47,7 42,0
Public administration, education, human health, social work 73,2 56,6
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

Characteristics of employment in the sense of the census in 2022

Employment area 2020 of Chartres (2403)

ACT T1 - Population aged 15 years or over having a job by status in 2022

ACT T1 - Population aged 15 years or over having a job by status in 2022
Employment status Number % of which % part-time of which % women
Altogether 92 859 100,0 12,7 48,7
Employees 82 970 89,4 12,7 50,1
Non-employees 9 889 10,6 12,7 36,8
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022
Employment status and conditions Male % Female %
Altogether 47 629 100 45 230 100
Employees 41 375 86,9 41 595 92,0
 Tenured personnel and open-ended employment contracts 36 162 75,9 36 045 79,7
 Fixed-term employment contracts 2 387 5,0 3 659 8,1
 Temporary employment 1 155 2,4 741 1,6
 Assisted jobs 214 0,4 171 0,4
 Apprentice ship contract - Traineeship 1 457 3,1 980 2,2
Non-employees 6 254 13,1 3 635 8,0
 Independents 3 267 6,9 2 484 5,5
 Employers 2 909 6,1 1 058 2,3
 Caregivers 79 0,2 93 0,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022
Age Male of which% part-time Female of which% part-time
Altogether 41 000 5,6 41 183 19,0
15 to 24 years old 4 461 17,4 3 481 24,6
25 to 54 years old 30 153 3,6 30 758 17,5
55 to 64 years old 6 386 6,7 6 944 23,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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
2011 2016 2022
Male 5,3 5,9 6,0
Female 23,6 22,4 19,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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
Work Area 2011 % 2016 % 2022 %
Altogether 92 512 100 90 866 100 92 859 100
Working in their residential zone 22 007 23,8 21 364 23,5 20 000 21,5
Working in another zone 70 505 76,2 69 502 76,5 72 860 78,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

ACT G2 - Proportion of transports used to go to work in 2022
Percentage
None 3,9
Walking 5,3
Bicycle 2,6
Motorized two-wheeled vehicles 1,1
Car or truck 74,9
Public transports 12,3
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

Births and Deaths of people with usual residence in the area, 2015-2024

Employment area 2020 of Chartres (2403)

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
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Domiciled deaths 1 702 1 771 1 713 1 788 1 892 1 945 1 922 2 028 1 928 1 977
Domiciled births 2 543 2 511 2 399 2 321 2 259 2 179 2 279 2 282 2 077 1 982
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2025.

Household income and poverty in 2021

Employment area 2020 of Chartres (2403)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 90 604
Number of people in tax households 208 030
Median disposable income (per consumption unit in euros) 24 310
Share of actually taxed tax households (in %) 59,2
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Less than 30 years old 16,5
30 to 39 years old 12,5
40 to 49 years old 11,2
50 to 59 years old 9,6
60 to 74 years old 7,2
75 and over 6,5
Altogether 10,2
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Homeowner 5,0
Tenant 24,2
Altogether 10,2
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income Share in %
Work income 76,2
   Wages 68,7
   Unemployment pensions 2,6
   Self-employed income 4,9
Retirement pension or annuity 27,5
Capital income (real estate, financial, others) 7,9
Social benefits 4,6
   Child benefit 2,0
   Income support 1,8
   Housing benefit 0,8
Tax –16,2
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 24 310
Inter-decile ratio 2,9
1st decile (in euros) 13 770
9th decile (in euros) 39 260
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2023

Employment area 2020 of Chartres (2403)

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023
Altogether Female Male
Altogether 2 494 2 319 2 627
Managerial staff* 4 052 3 594 4 333
Intermediate professions 2 582 2 437 2 725
Employees 1 939 1 926 1 973
Workers 2 072 1 962 2 100
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023
Pay gap (%)
Altogether –11,8
Managerial staff* –17,0
Intermediate professions –10,6
Employees –2,4
Workers –6,6
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023
Age Altogether Female Male
Less than 25 years old 1 807 1 777 1 827
25 to 39 years old 2 283 2 189 2 354
40 to 49 years old 2 613 2 422 2 769
50 to 54 years old 2 814 2 524 3 038
55 years old or older 2 892 2 536 3 167
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023
Pay gap (%)
Less than 25 years old –2,7
25 to 39 years old –7,0
40 to 49 years old –12,5
50 to 54 years old –16,9
55 years old or older –19,9
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

Establishment characteristics at the end of 2023

Employment area 2020 of Chartres (2403)

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 6 449 100,0 605 4 549 635 394 266
Agriculture, forestry and fishing 337 5,2 95 233 6 3 0
Industrial economy 453 7,0 18 246 79 59 51
Building industry 740 11,5 82 552 63 35 8
Trade, transport, various services 3 975 61,6 378 2 943 357 195 102
General government, education, healthcare, social action 944 14,6 32 575 130 102 105
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 employees and more
Altogether 73 225 100,0 14 034 8 581 12 393 10 611 27 606
Agriculture, forestry and fishing 540 0,7 351 78 111 0 0
Industrial economy 13 190 18,0 976 1 078 1 992 1 676 7 468
Building industry 4 333 5,9 1 733 831 1 074 314 381
Trade, transport, various services 31 472 43,0 8 886 4 823 5 922 4 210 7 631
General government, education, healthcare, social action 23 690 32,4 2 088 1 771 3 294 4 411 12 126
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
Part
Agriculture, forestry and fishing 5,2
Industrial economy 7,0
Building industry 11,5
Trade, transport, various services 61,6
General government, education, healthcare, social action 14,6
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

RES G2 - Distribution of establishments by workforce size at the end of 2023
Part
50 or more employees 4,1
20 to 49 employees 6,1
10 to 19 employees 9,8
1 to 9 employees 70,5
0 employee 9,4
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T3 - Establishments according to the spheres of the economy at the end of 2023

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 6 449 100,0 73 225 100,0
Productive sphere 2 232 34,6 27 389 37,4
of which public domain 9 0,1 682 0,9
Presential sphere 4 217 65,4 45 836 62,6
of which public domain 477 7,4 15 977 21,8
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 10 946 100,0
Employers of childminders 4 433 40,5
Employers of other employees 6 513 59,5
  • Scope: private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

Business and establishment set-ups in 2024

Employment area 2020 of Chartres (2403)

DEN T1 - Business set-ups by sector of activity in 2024

DEN T1 - Business set-ups by sector of activity in 2024
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 2 566 76,2 6,3 15,4 2,1
Industry 211 88,6 1,9 8,5 0,9
Construction 183 62,8 13,7 19,7 3,8
Wholesale and retail trade/transports/accommodations and food service activities 699 75,8 4,1 19,5 0,6
Information/communication 167 85,0 7,2 7,8 0,0
Finance and insurance activities 93 10,8 12,9 44,1 32,3
Real estate activities 80 72,5 10,0 16,3 1,3
Professional/scientific/technical activites/administrative and support service activities 585 73,3 7,9 17,6 1,2
Public administration/education/healthcare/social work 210 89,5 5,2 4,3 1,0
Other service activities 338 87,9 4,1 7,7 0,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 1 296 1 338 1 398 1 270 1 400 1 443 1 669 1 918 2 043 2 459 2 442 2 441 2 566
Sole proprietorship 924 965 1 016 876 1 011 1 023 1 234 1 449 1 578 1 832 1 821 1 889 1 956
SARL 272 237 194 192 158 147 132 145 122 159 176 147 161
SAS 65 100 137 171 207 251 261 296 306 418 394 368 395
Other societies 35 36 51 31 24 22 42 28 37 50 51 37 54
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T2 - Establishment set-ups by economic sectors in 2024

DEN T2 - Establishment set-ups by economic sectors in 2024
Sector of activity Altogether %
Altogether 2 922 100,0
Industry 280 9,6
Construction 210 7,2
Wholesale and retail trade/transports/accommodations and food service activities 783 26,8
Information/communication 167 5,7
Finance and insurance activities 105 3,6
Real estate activities 125 4,3
Professional/scientific/technical activites/administrative and support service activities 655 22,4
Public administration/education/healthcare/social work 240 8,2
Other service activities by the number of business creations including free lancers 357 12,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Establishment set-ups 1 440 1 422 1 554 1 472 1 576 1 608 1 864 2 084 2 244 2 681 2 714 2 658 2 922
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Number of legal entities and establishments in 2023

Employment area 2020 of Chartres (2403)

DEN T3 - Number of economically active legal units by economic sector in 2023

DEN T3 - Number of economically active legal units by economic sector in 2023
Sector of activity Number %
Altogether 13 397 100,0
Industry 928 6,9
Construction 1 604 12,0
Wholesale and retail trade/transports/accommodations and food service activities 3 036 22,7
Information/communication 489 3,7
Finance and insurance activities 780 5,8
Real estate activities 752 5,6
Professional/scientific/technical activites/administrative and support service activities 2 480 18,5
Public administration/education/human health/social work 1 838 13,7
Other service activities 1 490 11,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T4 - Number of economically active establishments by economic sector in 2023

DEN T4 - Number of economically active establishments by economic sector in 2023
Sector of activity Number %
Altogether 15 168 100,0
Industry 1 050 6,9
Construction 1 714 11,3
Wholesale and retail trade/transports/accommodations and food service activities 3 639 24,0
Information/communication 529 3,5
Finance and insurance activities 941 6,2
Real estate activities 790 5,2
Professional/scientific/technical activites/administrative and support service activities 2 917 19,2
Public administration/education/human health/social work 2 012 13,3
Other service activities 1 576 10,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Facilities and services for the population in 2024

Employment area 2020 of Chartres (2403)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 51
Grocery store, convenience store 83
Bakery and pastry shop 121
Service station 31
Electric vehicle charging station 89
Hair salon 289
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024
Healthcare professionals and pharmacies Number
General practitioner 124
Dentist 85
Physiotherapist 125
Nurse 159
Psychologist 118
Pharmacy 51
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T3 - Number of educationals institutions or libraries in 2024

EQUIP T3 - Number of educationals institutions or libraries in 2024
Educational or cultural institutions Number
Nursery and primary school 151
Middle school 21
General and/or technological upper secondary school 6
Vocational or agricultural upper secondary school 12
Library 56
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Employment area 2020 of Chartres (2403)

TOU T1 - Number and capacity of hotels on the 1st of January 2025

TOU T1 - Number and capacity of hotels on the 1st of January 2025
Number of stars Hotels Rooms
Altogether 31 1 630
1 star 1 77
2 stars 8 446
3 stars 14 687
4 stars 5 347
5 stars 0 0
Non-ranked 3 73
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T2 - Number and capacity of campsites on the 1st of January 2025

TOU T2 - Number and capacity of campsites on the 1st of January 2025
Number of stars Campsites Pitches
Altogether 4 395
1 star 0 0
2 stars 1 53
3 stars 3 342
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025
Type of accomodation Accommodation Number of bed places (1)
Altogether 5 771
Tourist accommodations 3 660
Holiday villages or private homes 0 0
Youth hostels or sports center 2 111
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

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.

Wage in full-time equivalent (FTE) :

Wage in full-time equivalent (FTE) is a wage converted to a full-time throughout the full year, regardless of the actual workload. For an employee who has held a job for six months at 80% and has earned a total of 10 000 euros, the wage in FTE is 10 000 / (0.5 * 0.8) = 25 000 euros per year.

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.

Other definitions are accessible on insee.fr, as well as the concepts specific to the population census.

Champ

Population censuses

The data are offered to users in particular for comparing municipalities, grouping variable categories or obtaining results on personalized sets of municipalities.

Derived from calculations linked to sampling techniques, the data in terms of numbers are provided with several decimal places; these must be used for all calculations carried out, in order to avoid rounding errors.

For more information on the population census, consult the page of presentation of the population census.

The data come either from the main farm (princ.) or from the complementary farm (compl).

For more methodological information, you can consult the sheets "Tips on using census results".

These sheets present the characteristics of the population census and deal with their consequences on the use of the data. They specify in particular the changes affecting the main statistical variables and their comparability with previous censuses.

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (Filosofi)

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

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

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

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

All employees databases (BTS)

The scope corresponds to employees in the private sector, including beneficiaries of subsidised contracts and professionalisation contracts; excluding apprentices, trainees, agricultural employees and employees of private individuals.

Business Demography Information System (Side)

The indicators relate to the creation and stock of companies and establishments in all non-agricultural productive and market activities. This field includes financial activities.

When referring to enterprises, all counts actually relate to legal units for this source. When a legal unit comprises several establishments, it is located at its head office.

The number of new enterprises or establishments corresponds to the number of legal units or establishments created during year N.

The number of businesses or establishments in year N corresponds to the number of legal units or economically active establishments in 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.

Permanent database of facilities

The permanent database of facilities (BPE) is a database intended for statistical purposes. It lists a wide range of facilities and services, whether commercial or not, that are accessible to the public throughout France as of January 1st each year.

The permanent database of facilities (BPE) is powered by different sources : sources used.

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.

Unique electoral register

The unique electoral register covers all french territories except New Caledonia.

The scope concerns voters registered on the main electoral list.

The main electoral lists, maintained by the municipalities, record french voters associated with them who are eligible to participate in elections governed by the provisions of the electoral code, as well as any other consultations based on these lists.

Géographie

Population censuses 2011, 2016, 2022: dissemination in the municipalities of France outside Mayotte in geography on 2025;

Vital statistics: distribution to all municipalities in France in geography as of 2025;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2025;

All employees databases (BTS), 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 01/01/2025;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2025;

Business Demography Information System (Side) - Business and establishment set-ups: distribution to all municipalities in France, in geography as of 01/01/2025;

Business Demography Information System (Side) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2025;

Permanent database of facilities: coverage across all municipalities in France, geography as of 01/01/2025. The data cover metropolitan France and the five overseas departments (DOM);

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2025

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.

Confidentiality and precautions of the All Employees databases (BTS)

Data from the All Employees databases are subject to statistical confidentiality.

No statistics are published for areas with fewer than 2,000 inhabitants.

In addition, each box in the table must contain at least 5 employees and no employee may represent more than 80% of the total payroll for the box. Similarly, in the case of workplace data, no box should relate to fewer than 3 establishments (or companies) and no establishment (or company) should account for more than 85% of the total payroll in the box.

As a result of these constraints, results from certain areas with more than 2,000 inhabitants were excluded from the distribution.

The salary data in the All employees database has not been assessed or validated at a geographical level finer than that of the départements. Beyond that level, the data must therefore be used with caution.

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.