données locales

Paru le : 06/11/2025

Full set of local data Arrondissement of Arras (621)

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

Arrondissement of Arras (621)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 246 519 100,0 248 929 100,0 249 836 100,0
0 to 14 years old 47 914 19,4 47 433 19,1 44 896 18,0
15 to 29 years old 44 274 18,0 42 469 17,1 41 939 16,8
30 to 44 years old 48 795 19,8 47 837 19,2 46 754 18,7
45 to 59 years old 50 374 20,4 49 972 20,1 49 511 19,8
60 to 74 years old 34 215 13,9 39 469 15,9 44 499 17,8
75 and over 20 948 8,5 21 748 8,7 22 237 8,9
  • 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 19,4 19,1 18,0
15 to 29 years old 18,0 17,1 16,8
30 to 44 years old 19,8 19,2 18,7
45 to 59 years old 20,4 20,1 19,8
60 to 74 years old 13,9 15,9 17,8
75 and over 8,5 8,7 8,9
  • 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 217 796 225 805 229 194 233 891 236 272 241 485 246 519 248 929 249 836
Average density (inhab / km²) 97,0 100,6 102,1 104,2 105,2 107,5 109,8 110,9 111,3
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • 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 % 0,5 0,2 0,3 0,1 0,3 0,4 0,2 0,1
due to the natural balance in % 0,7 0,4 0,5 0,3 0,3 0,4 0,3 0,0
due to the apparent balance of inflows and outflows in % –0,1 –0,2 –0,2 –0,2 0,0 0,1 –0,1 0,0
Natality rate (‰) 18,2 15,3 14,9 12,5 12,7 12,8 12,0 10,3
Mortality rate (‰) 11,6 11,1 10,3 9,5 9,5 9,2 9,5 10,2
  • 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 122 321 100,0 127 515 100,0
0 to 14 years old 22 921 18,7 21 975 17,2
15 to 29 years old 21 510 17,6 20 429 16,0
30 to 44 years old 23 310 19,1 23 445 18,4
45 to 59 years old 24 878 20,3 24 632 19,3
60 to 74 years old 21 259 17,4 23 239 18,2
75 to 89 years old 7 708 6,3 11 727 9,2
90 years and over 735 0,6 2 067 1,6
  • 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 122 321 100,0 127 515 100,0
0 to 19 years old 31 174 25,5 29 539 23,2
20 to 64 years old 69 220 56,6 68 952 54,1
65 and over 21 927 17,9 29 024 22,8
  • 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 243 257 100,0 246 017 100,0 247 271 100,0
In the same house 216 825 89,1 220 447 89,6 224 379 90,7
In another house in the same town 6 991 2,9 7 277 3,0 6 523 2,6
In another town 19 441 8,0 18 293 7,4 16 369 6,6
  • 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 28,2 71,8
15 to 24 years old 26,0 74,0
25 to 54 years old 28,1 71,9
55 years old and over 35,0 65,0
  • 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 198 843 100,0 201 035 100,0 204 897 100,0
Farmer operators 2 341 1,2 2 177 1,1 2 136 1,0
Craftsmen, traders, business leaders 5 553 2,8 5 795 2,9 5 630 2,7
Managers and higher intellectual professions 12 939 6,5 13 161 6,5 16 019 7,8
Middle-level occupations 27 571 13,9 28 590 14,2 30 263 14,8
Services employee 32 939 16,6 32 827 16,3 31 095 15,2
Blue-collar workers 30 455 15,3 30 023 14,9 29 406 14,4
Retirees 53 034 26,7 55 025 27,4 58 096 28,4
Other people with no professional activity 34 011 17,1 33 438 16,6 32 253 15,7
  • 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 99 541 105 356 100,0 100,0 100,0
Farmer operators 1 569 567 0,1 1,3 1,0
Craftsmen, traders, business leaders 3 841 1 789 0,6 4,5 1,6
Managers and higher intellectual professions 9 680 6 338 1,7 13,5 3,6
Middle-level occupations 13 677 16 586 9,0 25,1 5,2
Services employee 7 579 23 517 13,7 23,4 6,4
Blue-collar workers 23 614 5 792 15,6 22,2 5,1
Retirees 26 345 31 751 0,0 0,2 70,0
Other people with no professional activity 13 237 19 016 59,3 9,8 7,1
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Arrondissement of Arras (621)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 101 464 100,0 104 874 100,0 108 995 100,0 242 040 244 078 244 935
One-person households (male and female) 29 401 29,0 32 398 30,9 36 403 33,4 29 401 32 398 36 403
 Single Male 11 633 11,5 13 305 12,7 16 150 14,8 11 633 13 305 16 150
 Single Female 17 768 17,5 19 093 18,2 20 252 18,6 17 768 19 093 20 252
Other households without families 2 064 2,0 1 749 1,7 1 242 1,1 5 178 4 328 2 735
Family households : 69 998 69,0 70 727 67,4 71 350 65,5 207 460 207 352 205 797
 Couple without children 29 599 29,2 29 941 28,5 30 505 28,0 60 734 60 924 61 865
 Couple with children 31 743 31,3 30 995 29,6 29 990 27,5 123 550 120 411 115 596
 Single parent 8 656 8,5 9 791 9,3 10 854 10,0 23 176 26 017 28 335
  • 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 3,29 3,14 2,95 2,82 2,61 2,45 2,38 2,33 2,25
  • (*) 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 2,9 3,2 4,0
20 to 24 years old 12,9 12,7 14,8
25 to 39 years old 9,4 10,4 12,5
40 to 54 years old 10,5 11,7 12,9
55 to 64 years old 16,4 18,2 20,0
65 to 79 years old 26,7 25,7 26,7
80 and above 47,7 49,0 49,9
  • 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 2,3 2,2 2,3
20 to 24 years old 30,3 28,8 27,8
25 to 39 years old 73,7 72,5 70,6
40 to 54 years old 76,2 74,7 73,6
55 to 64 years old 75,6 73,5 71,4
65 to 79 years old 66,3 68,3 68,1
80 and above 36,8 38,2 38,9
  • 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 42,4
Civil partnership 6,9
In cohabitation 12,1
Widowed 7,4
Divorced 6,1
Single 25,1
  • 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 108 995 100,0 244 935 100,0
including farmer operators 1 489 1,4 4 120 1,7
including craftsmen, traders, business leaders 3 835 3,5 10 587 4,3
including managers and higher intellectual professions 10 353 9,5 27 291 11,1
including intermediate professions 17 833 16,4 45 980 18,8
including employees 16 660 15,3 41 031 16,8
including workers 19 076 17,5 52 570 21,5
  • 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 1,4
Handicrafters, traders, business leaders 3,5
Managers and higher intellectual professions 9,5
Intermediate professions 16,4
Employees 15,3
Workers 17,5
  • 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 70 370 100,0 71 063 100,0 71 782 100,0
Couple with children 31 800 45,2 31 041 43,7 30 016 41,8
Single parent 8 864 12,6 10 021 14,1 11 119 15,5
 Male single parent 1 375 2,0 1 636 2,3 2 362 3,3
 Female single parent 7 489 10,6 8 385 11,8 8 757 12,2
Couple without children 29 705 42,2 30 001 42,2 30 648 42,7
  • 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 30 016 100,0
Traditional family 25 957 86,5
Blended family 4 058 13,5
  • 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 70 370 100,0 71 063 100,0 71 782 100,0
Without any 34 460 49,0 35 064 49,3 35 774 49,8
1 child 14 949 21,2 14 704 20,7 15 325 21,3
2 children 13 937 19,8 14 384 20,2 14 401 20,1
3 children 5 261 7,5 5 121 7,2 4 588 6,4
4 children or above 1 762 2,5 1 790 2,5 1 694 2,4
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Arrondissement of Arras (621)

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 70 096 77 343 84 987 91 028 96 317 104 176 110 616 115 869 120 596
Principal residences 64 907 70 388 76 453 81 670 88 819 96 337 101 440 104 909 109 087
Second dwellings and occasional dwellings 1 353 2 335 3 048 2 988 2 692 2 459 2 147 2 150 2 155
Vacant accommodations 3 836 4 620 5 486 6 370 4 806 5 381 7 030 8 810 9 354
  • (*) 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 91,7 90,5 90,5
Second dwellings and occasional dwellings 1,9 1,9 1,8
Vacant dwellings 6,4 7,6 7,8
  • 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 110 616 100,0 115 869 100,0 120 596 100,0
Houses 88 088 79,6 91 746 79,2 94 148 78,1
Flats 21 847 19,8 23 592 20,4 25 867 21,4
Others 681 0,6 531 0,5 581 0,5
  • 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 3 469 3,1 4 178 3,6
due to the household size effect 2 427 2,2 3 804 3,3
due to the demographic effect 1 042 0,9 374 0,3
  • 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 101 440 100,0 104 909 100,0 109 087 100,0
1 room 2 409 2,4 2 379 2,3 2 408 2,2
2 rooms 6 911 6,8 7 283 6,9 7 658 7,0
3 rooms 13 631 13,4 14 545 13,9 15 596 14,3
4 rooms 23 596 23,3 24 939 23,8 25 111 23,0
5 rooms or above 54 894 54,1 55 762 53,2 58 313 53,5
  • 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 4,7 4,6 4,7
House 5,1 5,1 5,1
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 13,4 12,8 13,0
Moderate over-occupation 3,8 3,7 3,6
Severe over-occupation 0,2 0,2 0,3
Moderate under-occupation 21,0 21,6 20,6
Severe under-occupation 25,4 25,1 24,5
Very severe under-occupation 36,1 36,7 38,0
  • 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 107 789 100,0
Before 1919 8 740 8,1
From 1919 to 1945 18 633 17,3
From 1946 to 1970 25 137 23,3
From 1971 to 1990 27 371 25,4
From 1991 to 2005 13 817 12,8
From 2006 to 2019 14 092 13,1
  • 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 7 763 945
From 1919 to 1945 16 913 1 696
From 1946 to 1970 18 720 6 296
From 1971 to 1990 22 134 5 142
From 1991 to 2005 9 985 3 773
From 2006 to 2018 9 789 4 205
  • 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 109 087 100,0 244 960 4,7 2,1
Less than 2 years ago 11 133 10,2 23 159 3,8 1,8
From 2 to 4 years ago 19 557 17,9 45 278 4,1 1,8
From 5 to 9 years ago 17 612 16,1 45 677 4,5 1,7
10 years ago or above 60 786 55,7 130 846 5,0 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 10,2
From 2 to 4 years ago 17,9
From 5 to 9 years ago 16,1
From 10 to 19 years ago 19,3
From 20 to 29 years ago 11,9
30 years ago or above 24,6
  • 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 101 440 100,0 104 909 100,0 109 087 100,0 244 960 18,4
Homeowner 67 879 66,9 69 469 66,2 71 930 65,9 167 650 23,6
Tenant 31 929 31,5 33 948 32,4 35 669 32,7 74 252 7,9
including public tenants 12 997 12,8 14 104 13,4 14 368 13,2 30 657 10,6
Housed for free 1 632 1,6 1 491 1,4 1 488 1,4 3 058 17,0
  • 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 45 069 44,4 46 253 44,1 48 562 44,5
Fuel oil 20 121 19,8 17 726 16,9 14 333 13,1
Electricity 22 805 22,5 24 185 23,1 26 481 24,3
Bottled or tank gas 1 642 1,6 1 326 1,3 1 156 1,1
Other (wood, solar, geothermal, etc.) 11 803 11,6 15 418 14,7 18 555 17,0
  • 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 85 275 84,1 89 125 85,0 94 064 86,2
 1 car 47 017 46,4 47 928 45,7 50 341 46,1
 2 cars or above 38 258 37,7 41 196 39,3 43 723 40,1
  • 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 101 440 100,0 104 909 100,0 109 087 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 73 090 72,1 76 766 73,2 80 423 73,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Arrondissement of Arras (621)

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 10 945 8 811 80,5 80,5 80,5
6 to 10 years old 15 708 15 364 97,8 97,7 97,9
11 to 14 years old 13 239 13 023 98,4 98,2 98,6
15 to 17 years old 9 811 9 327 95,1 95,2 94,9
18 to 24 years old 19 132 8 575 44,8 41,9 48,1
25 to 29 years old 12 996 607 4,7 4,4 4,9
30 years old or above 163 001 1 147 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 80,5 79,5 80,5
6 to 10 years old 98,8 98,1 97,8
11 to 14 years old 99,2 98,4 98,4
15 to 17 years old 95,8 95,6 95,1
18 to 24 years old 44,9 46,0 44,8
25 to 29 years old 4,4 4,0 4,7
30 years old or above 0,5 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 185 284 89 627 95 657
Proportion of graduates in percentage
No diploma or primary education certificate 19,4 16,6 21,9
BEPC brevet des collèges or DNB 6,4 5,4 7,3
CAP, BEP or equivalent 26,2 30,9 21,7
Baccalauréat, brevet professionnel or equivalent 19,3 19,6 19,0
2 years at university 12,1 11,8 12,4
3 to 4 years at university 9,2 7,7 10,5
5 years or more at university 7,5 8,0 7,1
  • 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 28,4 19,4
BEPC brevet des collèges or DNB 7,4 6,4
CAP, BEP or equivalent 25,8 26,2
Baccalauréat, brevet professionnel or equivalent 16,6 19,3
2 years or more at university 21,8 28,8
  • 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

Arrondissement of Arras (621)

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 159 553 156 008 153 989
Working age adult in % 70,9 73,3 74,7
 Working age adults with a job in % 62,2 63,4 66,6
 Unemployed workers in % 8,7 9,8 8,1
Economically inactive people in % 29,1 26,7 25,3
 Pupils, students or interns in % 9,4 9,7 9,5
 Retirees in % 10,0 7,7 6,6
 Other economically inactive people in % 9,8 9,3 9,2
  • 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 153 989 115 006 74,7 102 493 66,6
 15 to 24 years old 28 943 12 892 44,5 9 824 33,9
 25 to 54 years old 92 875 84 143 90,6 76 233 82,1
 55 to 64 years old 32 171 17 971 55,9 16 436 51,1
Male 77 473 60 032 77,5 53 798 69,4
 15 to 24 years old 15 092 7 228 47,9 5 546 36,7
 25 to 54 years old 46 347 43 466 93,8 39 696 85,6
 55 to 64 years old 16 034 9 338 58,2 8 557 53,4
Female 76 516 54 975 71,8 48 696 63,6
 15 to 24 years old 13 851 5 664 40,9 4 279 30,9
 25 to 54 years old 46 528 40 677 87,4 36 538 78,5
 55 to 64 years old 16 137 8 633 53,5 7 879 48,8
  • 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 66,6
Unemployed workers 8,1
Retirees 6,6
Pupils, students or interns 9,5
Other economically inactive people 9,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • 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 112 604 98 590 113 285 98 260 114 804 102 551
including farmer operators 2 244 2 240 2 032 2 017 1 903 1 888
including handicrafters, traders and business leaders 5 435 5 069 5 633 5 283 5 373 5 123
including managers and higher intellectual professions 12 829 12 543 12 935 12 490 15 785 15 388
including intermediate professions 27 464 25 591 28 438 26 405 30 019 28 433
including employees 32 754 28 009 32 622 27 793 30 828 26 902
including workers 30 360 25 138 29 811 24 273 29 239 24 817
  • 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 13 862 15 338 12 513
Unemployment rate in % 12,3 13,4 10,9
Unemployment of the 15-24 aged 30,4 32,1 23,8
Unemployment of the 25-54 aged 10,2 11,6 9,4
Unemployment of the 55-64 aged 8,0 9,8 8,5
  • 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 24,7
BEPC brevet des collèges or DNB 19,1
CAP, BEP or equivalent 13,7
Baccalauréat, brevet professionnel or equivalent 11,4
2 years at university 6,3
3 to 4 years at university 4,9
5 years or more at university 3,9
  • 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 94 354 93 258 98 711
Working age adult living in the area 99 965 100 016 103 886
Occupational concentration by industry 94,4 93,2 95,0
employment rate of 15 years old or above in % 57,3 57,3 56,8
  • 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 94 354 100,0 93 258 100,0 98 711 100,0
Employee 83 922 88,9 82 802 88,8 87 722 88,9
 including women 40 398 42,8 40 711 43,7 42 943 43,5
 including part time jobs 16 259 17,2 16 224 17,4 15 138 15,3
Non-employee 10 432 11,1 10 456 11,2 10 989 11,1
 including women 3 565 3,8 3 785 4,1 4 158 4,2
 including part time jobs 909 1,0 1 138 1,2 1 345 1,4
  • 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 98 262 100,0
Farmer operators 2 128 2,2
Handicrafters, traders, business leaders 5 179 5,3
Managers and higher intellectual professions 13 037 13,3
Intermediate professions 25 216 25,7
Employees 26 376 26,8
Workers 26 326 26,8
  • 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 2,5 2,3 2,2
Handicrafters, traders, business leaders 5,2 5,4 5,3
Managers and higher intellectual professions 11,5 11,5 13,3
Intermediate professions 24,0 25,1 25,7
Employees 29,3 28,5 26,8
Workers 27,5 27,3 26,8
  • 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 93 963 100,0 93 076 100,0 98 262 100,0 47,7 89,5
Agriculture 4 507 4,8 4 339 4,7 4 277 4,4 32,4 50,5
Industry 12 452 13,3 11 616 12,5 11 872 12,1 29,4 94,5
Construction 7 798 8,3 7 061 7,6 7 022 7,1 10,4 83,9
Wholesale and retail trade/transports/accommodations and food service activities 35 680 38,0 35 705 38,4 40 575 41,3 43,8 89,0
Public administration/education/human health/social work 33 526 35,7 34 355 36,9 34 516 35,1 68,2 94,4
  • 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 38,1 26,6
Industry 29,3 30,8
Construction 11,5 4,4
Wholesale and retail trade, transports, accommodations and food service activities 44,3 39,5
Public administration, education, human health, social work 68,4 63,8
  • 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

Arrondissement of Arras (621)

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 103 854 100,0 16,1 47,5
Employees 92 095 88,7 16,7 48,8
Non-employees 11 759 11,3 11,7 37,1
  • 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 54 575 100 49 279 100
Employees 47 182 86,5 44 913 91,1
 Tenured personnel and open-ended employment contracts 40 511 74,2 37 816 76,7
 Fixed-term employment contracts 3 312 6,1 5 126 10,4
 Temporary employment 1 246 2,3 509 1,0
 Assisted jobs 334 0,6 361 0,7
 Apprentice ship contract - Traineeship 1 779 3,3 1 100 2,2
Non-employees 7 393 13,5 4 366 8,9
 Independents 3 503 6,4 2 836 5,8
 Employers 3 808 7,0 1 409 2,9
 Caregivers 82 0,1 121 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 46 769 6,6 44 519 26,6
15 to 24 years old 5 314 20,4 4 109 32,9
25 to 54 years old 34 653 4,3 33 353 24,6
55 to 64 years old 6 803 7,6 7 057 32,1
  • 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 6,4 7,3 7,1
Female 32,1 31,2 26,8
  • 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 99 944 100 100 005 100 103 854 100
Working in their residential zone 23 976 24,0 23 150 23,1 21 745 20,9
Working in another zone 75 968 76,0 76 856 76,9 82 109 79,1
  • 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 5,6
Bicycle 1,6
Motorized two-wheeled vehicles 0,8
Car or truck 82,2
Public transports 5,9
  • 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

Arrondissement of Arras (621)

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 2 397 2 418 2 468 2 580 2 487 2 670 2 598 2 722 2 541 2 484
Domiciled births 2 742 2 747 2 618 2 532 2 575 2 445 2 527 2 409 2 228 2 265
  • 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

Arrondissement of Arras (621)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 106 030
Number of people in tax households 244 601
Median disposable income (per consumption unit in euros) 22 470
Share of actually taxed tax households (in %) 50,5
  • 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 22,7
30 to 39 years old 16,8
40 to 49 years old 14,6
50 to 59 years old 12,5
60 to 74 years old 10,3
75 and over 11,5
Altogether 13,9
  • 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 6,2
Tenant 31,6
Altogether 13,9
  • 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 74,2
   Wages 65,4
   Unemployment pensions 2,4
   Self-employed income 6,4
Retirement pension or annuity 28,1
Capital income (real estate, financial, others) 7,2
Social benefits 5,8
   Child benefit 2,2
   Income support 2,6
   Housing benefit 1,0
Tax –15,3
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) 22 470
Inter-decile ratio 3,0
1st decile (in euros) 12 540
9th decile (in euros) 37 480
  • 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

Arrondissement of Arras (621)

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 2 317 2 137 2 433
Managerial staff* 3 907 3 451 4 169
Intermediate professions 2 481 2 317 2 622
Employees 1 898 1 865 1 982
Workers 2 004 1 730 2 060
  • * 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 –12,2
Managerial staff* –17,2
Intermediate professions –11,6
Employees –5,9
Workers –16,0
  • * 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 1 767 1 711 1 804
25 to 39 years old 2 156 2 035 2 234
40 to 49 years old 2 456 2 263 2 591
50 to 54 years old 2 567 2 271 2 753
55 years old or older 2 648 2 356 2 827
  • 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 –5,2
25 to 39 years old –8,9
40 to 49 years old –12,7
50 to 54 years old –17,5
55 years old or older –16,7
  • 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

Arrondissement of Arras (621)

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 8 046 100,0 692 5 761 742 489 362
Agriculture, forestry and fishing 903 11,2 111 755 14 20 3
Industrial economy 487 6,1 30 282 73 51 51
Building industry 918 11,4 153 595 85 63 22
Trade, transport, various services 4 205 52,3 345 3 087 412 233 128
General government, education, healthcare, social action 1 533 19,1 53 1 042 158 122 158
  • 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 101 628 100,0 17 446 9 916 14 707 14 668 44 891
Agriculture, forestry and fishing 2 457 2,4 1 412 189 668 188 0
Industrial economy 12 221 12,0 1 087 992 1 508 1 945 6 689
Building industry 6 784 6,7 1 797 1 171 1 819 1 098 899
Trade, transport, various services 38 469 37,9 9 659 5 489 7 043 4 836 11 442
General government, education, healthcare, social action 41 697 41,0 3 491 2 075 3 669 6 601 25 861
  • 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 11,2
Industrial economy 6,1
Building industry 11,4
Trade, transport, various services 52,3
General government, education, healthcare, social action 19,1
  • 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 4,5
20 to 49 employees 6,1
10 to 19 employees 9,2
1 to 9 employees 71,6
0 employee 8,6
  • 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 8 046 100,0 101 628 100,0
Productive sphere 2 903 36,1 37 389 36,8
of which public domain 15 0,2 3 948 3,9
Presential sphere 5 143 63,9 64 239 63,2
of which public domain 998 12,4 26 973 26,5
  • 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 11 981 100,0
Employers of childminders 4 246 35,4
Employers of other employees 7 735 64,6
  • 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

Arrondissement of Arras (621)

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 2 559 76,2 8,6 12,8 2,3
Industry 272 85,3 4,0 10,7 0,0
Construction 188 56,4 14,4 27,1 2,1
Wholesale and retail trade/transports/accommodations and food service activities 690 79,1 9,9 10,7 0,3
Information/communication 115 89,6 0,0 10,4 0,0
Finance and insurance activities 83 9,6 22,9 34,9 32,5
Real estate activities 104 58,7 18,3 21,2 1,9
Professional/scientific/technical activites/administrative and support service activities 520 71,9 9,4 16,3 2,3
Public administration/education/healthcare/social work 239 90,0 8,4 1,3 0,4
Other service activities 348 87,9 2,3 6,3 3,4
  • 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 1 410 1 484 1 429 1 338 1 295 1 471 1 570 1 932 2 016 2 347 2 444 2 255 2 559
Sole proprietorship 1 084 1 131 1 097 942 897 1 036 1 187 1 499 1 595 1 821 1 854 1 800 1 951
SARL 251 228 206 185 175 170 165 209 169 199 220 187 221
SAS 55 93 104 180 187 229 187 201 222 283 321 237 327
Other societies 20 32 22 31 36 36 31 23 30 44 49 31 60
  • 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 2 904 100,0
Industry 323 11,1
Construction 201 6,9
Wholesale and retail trade/transports/accommodations and food service activities 797 27,4
Information/communication 123 4,2
Finance and insurance activities 92 3,2
Real estate activities 139 4,8
Professional/scientific/technical activites/administrative and support service activities 574 19,8
Public administration/education/healthcare/social work 280 9,6
Other service activities by the number of business creations including free lancers 375 12,9
  • 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 1 658 1 657 1 577 1 559 1 518 1 676 1 757 2 102 2 233 2 612 2 728 2 482 2 904
  • 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

Arrondissement of Arras (621)

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 14 086 100,0
Industry 1 009 7,2
Construction 1 568 11,1
Wholesale and retail trade/transports/accommodations and food service activities 3 407 24,2
Information/communication 354 2,5
Finance and insurance activities 781 5,5
Real estate activities 663 4,7
Professional/scientific/technical activites/administrative and support service activities 2 264 16,1
Public administration/education/human health/social work 2 409 17,1
Other service activities 1 631 11,6
  • 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 15 923 100,0
Industry 1 111 7,0
Construction 1 677 10,5
Wholesale and retail trade/transports/accommodations and food service activities 4 078 25,6
Information/communication 386 2,4
Finance and insurance activities 927 5,8
Real estate activities 700 4,4
Professional/scientific/technical activites/administrative and support service activities 2 689 16,9
Public administration/education/human health/social work 2 626 16,5
Other service activities 1 729 10,9
  • 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

Arrondissement of Arras (621)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 67
Grocery store, convenience store 47
Bakery and pastry shop 153
Service station 45
Electric vehicle charging station 77
Hair salon 401
  • 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 213
Dentist 127
Physiotherapist 294
Nurse 478
Psychologist 62
Pharmacy 79
  • 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 309
Middle school 29
General and/or technological upper secondary school 6
Vocational or agricultural upper secondary school 10
Library 72
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Arrondissement of Arras (621)

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 28 1 077
1 star 0 0
2 stars 4 170
3 stars 11 526
4 stars 3 194
5 stars 0 0
Non-ranked 10 187
  • 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 15 1 415
1 star 1 198
2 stars 5 449
3 stars 3 328
4 stars 1 75
5 stars 0 0
Non-ranked 5 365
  • 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 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels or sports center 0 0
  • (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.