données locales

Paru le : 10/07/2025

Full set of local data Arrondissement of Boulogne-sur-Mer (623)

Detailed figures
Paru le :Paru le10/07/2025
- July 2025

The data presented are disseminated according to the 2024 or 2025 geography, depending on the source.

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

Growth and structure of the population in 2022

Arrondissement of Boulogne-sur-Mer (623)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 161 655 100,0 159 748 100,0 157 976 100,0
0 to 14 years old 32 674 20,2 30 703 19,2 28 091 17,8
15 to 29 years old 29 860 18,5 28 076 17,6 26 935 17,0
30 to 44 years old 31 094 19,2 28 893 18,1 27 380 17,3
45 to 59 years old 32 785 20,3 32 464 20,3 31 513 19,9
60 to 74 years old 22 158 13,7 25 749 16,1 29 368 18,6
75 and over 13 085 8,1 13 864 8,7 14 689 9,3
  • 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 20,2 19,2 17,8
15 to 29 years old 18,5 17,6 17,0
30 to 44 years old 19,2 18,1 17,3
45 to 59 years old 20,3 20,3 19,9
60 to 74 years old 13,7 16,1 18,6
75 and over 8,1 8,7 9,3
  • 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 152 454 157 576 158 058 158 568 163 033 162 460 161 655 159 748 157 976
Average density (inhab / km²) 240,6 248,7 249,4 250,2 257,3 256,4 255,1 252,1 249,3
  • (*) 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 0,0 0,0 0,3 –0,1 –0,1 –0,2 –0,2
due to the natural balance in % 0,9 0,6 0,6 0,5 0,5 0,4 0,3 0,0
due to the apparent balance of inflows and outflows in % –0,5 –0,5 –0,6 –0,2 –0,5 –0,5 –0,5 –0,2
Natality rate (‰) 19,7 16,2 16,4 14,6 13,9 13,4 12,2 10,4
Mortality rate (‰) 10,4 10,5 10,0 9,5 9,3 9,6 9,7 10,3
  • 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 75 758 100,0 82 218 100,0
0 to 14 years old 14 284 18,9 13 807 16,8
15 to 29 years old 13 807 18,2 13 127 16,0
30 to 44 years old 13 513 17,8 13 868 16,9
45 to 59 years old 15 322 20,2 16 191 19,7
60 to 74 years old 13 573 17,9 15 795 19,2
75 to 89 years old 4 848 6,4 8 025 9,8
90 years and over 411 0,5 1 406 1,7
  • 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 75 758 100,0 82 218 100,0
0 to 19 years old 19 472 25,7 18 598 22,6
20 to 64 years old 42 445 56,0 43 925 53,4
65 and over 13 840 18,3 19 694 24,0
  • 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 159 573 100,0 157 818 100,0 156 386 100,0
In the same house 142 726 89,4 140 473 89,0 140 951 90,1
In another house in the same town 6 735 4,2 7 263 4,6 5 850 3,7
In another town 10 112 6,3 10 082 6,4 9 585 6,1
  • 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 42,2 57,8
15 to 24 years old 37,4 62,6
25 to 54 years old 37,0 63,0
55 years old and over 35,5 64,5
  • 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 128 767 100,0 128 959 100,1 129 785 100,0
including farmer operators 833 0,6 812 0,6 661 0,5
including craftsmen, traders, business leaders 3 610 2,8 3 802 3,0 3 651 2,8
including managers and higher intellectual professions 6 682 5,2 6 469 5,0 7 431 5,7
including middle-level occupations 15 299 11,9 15 661 12,2 15 989 12,3
including services employee 21 668 16,8 21 960 17,1 21 463 16,5
including blue-collar workers 21 314 16,6 20 499 15,9 19 805 15,3
  • 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 61 229 68 556 100,0 100,0 100,0
including farmer operators 520 141 0,1 0,7 0,4
including craftsmen, traders, business leaders 2 438 1 213 0,8 4,7 1,6
including managers and higher intellectual professions 4 576 2 855 1,0 9,7 3,2
including middle-level occupations 7 564 8 425 8,0 21,2 4,6
including services employee 5 576 15 887 16,0 26,1 6,8
including blue-collar workers 15 599 4 206 14,9 24,9 5,4
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

POP T7 - Population aged 15 or over by current or previous socio-professional group in 2022

POP T7 - Population aged 15 or over by current or previous socio-professional group in 2022
Socioprofessional group 2022 %
Altogether 129 785 100,0
Employed person 60 763 46,8
Farmer operators 656 0,5
Craftsmen, traders, business leaders 3 465 2,7
Managers and higher intellectual professions 7 183 5,5
Middle-level occupations 14 966 11,5
Services employee 18 162 14,0
Blue-collar workers 16 331 12,6
Retirees 38 264 29,5
Other people without professional activity 22 522 17,4
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Arrondissement of Boulogne-sur-Mer (623)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 66 477 100,0 68 106 100,0 70 244 100,0 159 428 157 515 155 840
One-person households (male and female) 20 115 30,3 21 952 32,2 24 431 34,8 20 115 21 952 24 431
 Single Male 7 366 11,1 8 542 12,5 9 709 13,8 7 366 8 542 9 709
 Single Female 12 749 19,2 13 410 19,7 14 722 21,0 12 749 13 410 14 722
Other households without families 1 315 2,0 1 319 1,9 927 1,3 3 349 3 117 2 036
Family households : 45 047 67,8 44 836 65,8 44 885 63,9 135 964 132 446 129 373
 Couple without children 17 648 26,5 17 995 26,4 18 927 26,9 36 255 36 671 38 609
 Couple with children 20 307 30,5 19 308 28,3 18 101 25,8 80 439 75 621 70 195
 Single parent 7 091 10,7 7 533 11,1 7 857 11,2 19 270 20 154 20 569
  • 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 3,41 3,21 2,97 2,83 2,65 2,47 2,40 2,31 2,22
  • (*) 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 2,1 3,1 3,6
20 to 24 years old 10,2 11,4 13,3
25 to 39 years old 9,5 10,8 12,8
40 to 54 years old 10,7 12,0 13,5
55 to 64 years old 18,9 19,3 21,6
65 to 79 years old 29,0 28,3 28,2
80 and above 54,5 52,6 53,4
  • 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 2,2 2,7 1,8
20 to 24 years old 28,4 28,1 27,1
25 to 39 years old 71,1 68,8 67,8
40 to 54 years old 75,2 72,6 71,5
55 to 64 years old 73,2 72,4 70,1
65 to 79 years old 63,8 65,1 66,1
80 and above 31,8 34,9 36,3
  • 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 41,6
Civil partnership 5,9
In cohabitation 11,7
Widowed 8,2
Divorced 5,9
Single 26,7
  • 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 70 244 100,0 155 840 100,0
including farmer operators 467 0,7 1 268 0,8
including craftsmen, traders, business leaders 2 307 3,3 6 285 4,0
including managers and higher intellectual professions 5 001 7,1 13 389 8,6
including intermediate professions 9 368 13,3 24 398 15,7
including employees 11 966 17,0 29 566 19,0
including workers 13 334 19,0 36 641 23,5
  • 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 0,7
Handicrafters, traders, business leaders 3,3
Managers and higher intellectual professions 7,1
Intermediate professions 13,3
Employees 17,0
Workers 19,0
  • 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 45 339 100,0 45 095 100,0 45 160 100,0
Couple with children 20 346 44,9 19 321 42,8 18 135 40,2
Single parent 7 278 16,1 7 730 17,1 8 033 17,8
 Male single parent 893 2,0 1 071 2,4 1 411 3,1
 Female single parent 6 385 14,1 6 659 14,8 6 622 14,7
Couple without children 17 714 39,1 18 044 40,0 18 992 42,1
  • 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 18 135 100,0
Traditional family 15 657 86,3
Blended family 2 478 13,7
  • 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 45 339 100,0 45 095 100,0 45 160 100,0
Without any 20 647 45,5 21 563 47,8 22 407 49,6
1 child 10 073 22,2 9 652 21,4 9 895 21,9
2 children 9 116 20,1 8 948 19,8 8 401 18,6
3 children 4 081 9,0 3 658 8,1 3 349 7,4
4 children or above 1 422 3,1 1 274 2,8 1 108 2,5
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Arrondissement of Boulogne-sur-Mer (623)

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 48 716 54 362 60 972 66 384 71 523 76 596 79 403 83 402 86 410
Principal residences 44 242 48 500 52 572 55 390 60 918 64 807 66 507 68 126 70 272
Second dwellings and occasional dwellings 2 582 3 428 5 035 6 821 7 439 8 270 8 019 8 852 10 462
Vacant accommodations 1 892 2 434 3 365 4 173 3 166 3 519 4 877 6 424 5 675
  • (*) 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 83,8 81,7 81,3
Second dwellings and occasional dwellings 10,1 10,6 12,1
Vacant dwellings 6,1 7,7 6,6
  • 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 79 403 100,0 83 402 100,0 86 410 100,0
Houses 50 558 63,7 52 787 63,3 54 111 62,6
Flats 28 427 35,8 30 226 36,2 31 712 36,7
Others 418 0,5 389 0,5 586 0,7
  • 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 1 619 2,0 2 146 2,6
due to the household size effect 2 438 3,1 2 957 3,5
due to the demographic effect –818 –1,0 –811 –1,0
  • 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 66 507 100,0 68 126 100,0 70 272 100,0
1 room 1 829 2,8 1 940 2,8 2 114 3,0
2 rooms 5 986 9,0 6 429 9,4 6 735 9,6
3 rooms 11 137 16,7 11 594 17,0 12 356 17,6
4 rooms 16 422 24,7 16 938 24,9 17 069 24,3
5 rooms or above 31 133 46,8 31 225 45,8 31 998 45,5
  • 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 4,4 4,4 4,4
House 5,0 5,0 5,0
Flat 3,2 3,1 3,1
  • 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 17,8 17,9 17,0
Moderate over-occupation 5,2 5,0 4,8
Severe over-occupation 0,5 0,3 0,3
Moderate under-occupation 23,0 23,8 23,7
Severe under-occupation 23,5 23,7 23,3
Very severe under-occupation 30,0 29,3 30,9
  • 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 69 449 100,0
Before 1919 4 876 7,0
From 1919 to 1945 5 914 8,5
From 1946 to 1970 22 488 32,4
From 1971 to 1990 19 818 28,5
From 1991 to 2005 8 005 11,5
From 2006 to 2019 8 347 12,0
  • 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 3 933 926
From 1919 to 1945 4 506 1 395
From 1946 to 1970 13 561 8 838
From 1971 to 1990 12 618 7 087
From 1991 to 2005 5 744 2 190
From 2006 to 2018 5 355 2 929
  • 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 70 272 100,0 155 810 4,4 2,0
Less than 2 years ago 7 950 11,3 16 357 3,5 1,7
From 2 to 4 years ago 13 703 19,5 31 811 3,9 1,7
From 5 to 9 years ago 12 086 17,2 30 717 4,2 1,7
10 years ago or above 36 534 52,0 76 925 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 11,3
From 2 to 4 years ago 19,5
From 5 to 9 years ago 17,2
From 10 to 19 years ago 19,1
From 20 to 29 years ago 12,1
30 years ago or above 20,8
  • 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 66 507 100,0 68 126 100,0 70 272 100,0 155 810 16,4
Homeowner 35 945 54,0 36 922 54,2 38 066 54,2 88 402 21,6
Tenant 29 510 44,4 30 254 44,4 31 310 44,6 65 581 10,1
including public tenants 14 462 21,7 14 972 22,0 16 048 22,8 35 855 13,0
Housed for free 1 053 1,6 951 1,4 897 1,3 1 826 14,9
  • 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 37 155 55,9 37 317 54,8 37 597 53,5
Fuel oil 5 703 8,6 4 636 6,8 3 689 5,2
Electricity 14 849 22,3 16 597 24,4 18 060 25,7
Bottled or tank gas 1 009 1,5 714 1,0 728 1,0
Other (wood, solar, geothermal, etc.) 7 791 11,7 8 861 13,0 10 199 14,5
  • 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 51 707 77,7 53 395 78,4 56 135 79,9
 1 car 31 072 46,7 31 744 46,6 32 756 46,6
 2 cars or above 20 636 31,0 21 651 31,8 23 379 33,3
  • 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 66 507 100,0 68 126 100,0 70 272 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 36 911 55,5 38 235 56,1 40 314 57,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Arrondissement of Boulogne-sur-Mer (623)

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 6 818 5 551 81,4 80,8 82,0
6 to 10 years old 9 790 9 549 97,5 97,5 97,6
11 to 14 years old 8 357 8 183 97,9 97,9 98,0
15 to 17 years old 6 311 5 956 94,4 93,8 95,0
18 to 24 years old 12 402 4 973 40,1 37,8 42,6
25 to 29 years old 8 222 371 4,5 4,0 5,1
30 years old or above 102 951 614 0,6 0,5 0,7
  • 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 82,9 81,6 81,4
6 to 10 years old 98,8 98,1 97,5
11 to 14 years old 98,8 98,6 97,9
15 to 17 years old 93,5 93,6 94,4
18 to 24 years old 41,7 40,4 40,1
25 to 29 years old 3,8 4,1 4,5
30 years old or above 0,6 0,5 0,6
  • 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 117 971 55 576 62 395
Proportion of graduates in percentage
No diploma or primary education certificate 25,1 21,0 28,7
BEPC brevet des collèges or DNB 6,6 5,8 7,2
CAP, BEP or equivalent 25,8 30,3 21,7
Baccalauréat, brevet professionnel or equivalent 18,1 18,7 17,5
2 years at university 10,3 10,3 10,4
3 to 4 years at university 7,8 6,6 8,8
5 years or more at university 6,4 7,2 5,6
  • 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 34,3 25,1
BEPC brevet des collèges or DNB 6,9 6,6
CAP, BEP or equivalent 24,4 25,8
Baccalauréat, brevet professionnel or equivalent 15,8 18,1
2 years or more at university 18,5 24,5
  • 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 Boulogne-sur-Mer (623)

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 103 689 99 718 96 351
Working age adult in % 68,3 70,9 72,6
 Working age adults with a job in % 57,0 57,4 62,0
 Unemployed workers in % 11,3 13,5 10,5
Economically inactive people in % 31,7 29,1 27,4
 Pupils, students or interns in % 10,1 9,7 9,4
 Retirees in % 9,5 7,9 6,9
 Other economically inactive people in % 12,1 11,5 11,1
  • 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 96 351 69 906 72,6 59 786 62,0
 15 to 24 years old 18 713 8 539 45,6 6 196 33,1
 25 to 54 years old 56 521 50 197 88,8 43 699 77,3
 55 to 64 years old 21 117 11 170 52,9 9 890 46,8
Male 47 634 36 600 76,8 31 590 66,3
 15 to 24 years old 9 630 4 750 49,3 3 485 36,2
 25 to 54 years old 27 879 26 150 93,8 23 021 82,6
 55 to 64 years old 10 125 5 701 56,3 5 084 50,2
Female 48 717 33 306 68,4 28 195 57,9
 15 to 24 years old 9 083 3 789 41,7 2 711 29,8
 25 to 54 years old 28 642 24 047 84,0 20 678 72,2
 55 to 64 years old 10 992 5 469 49,8 4 806 43,7
  • 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 62,0
Unemployed workers 10,5
Retirees 6,9
Pupils, students or interns 9,4
Other economically inactive people 11,1
  • 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 70 668 59 041 70 760 57 139 69 643 60 044
including farmer operators 787 769 763 757 607 602
including handicrafters, traders and business leaders 3 523 3 251 3 706 3 372 3 563 3 377
including managers and higher intellectual professions 6 617 6 405 6 296 6 036 7 251 7 003
including intermediate professions 15 239 14 048 15 581 14 046 15 886 14 865
including employees 21 587 17 829 21 837 17 679 21 246 17 965
including workers 21 234 16 740 20 419 15 249 19 694 16 231
  • 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 11 765 13 442 10 120
Unemployment rate in % 16,6 19,0 14,5
Unemployment of the 15-24 aged 38,3 40,2 27,4
Unemployment of the 25-54 aged 13,6 16,4 12,9
Unemployment of the 55-64 aged 11,9 14,2 11,5
  • 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 29,5
BEPC brevet des collèges or DNB 24,0
CAP, BEP or equivalent 17,3
Baccalauréat, brevet professionnel or equivalent 13,7
2 years at university 7,9
3 to 4 years at university 5,7
5 years or more at university 4,9
  • 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 57 126 55 287 58 165
Working age adult living in the area 59 534 57 835 60 575
Occupational concentration by industry 96,0 95,6 96,0
employment rate of 15 years old or above in % 55,3 55,3 54,4
  • 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 57 126 100,0 55 287 100,0 58 165 100,0
Employee 50 832 89,0 49 177 88,9 51 561 88,6
 including women 24 757 43,3 24 430 44,2 25 617 44,0
 including part time jobs 11 372 19,9 11 059 20,0 10 221 17,6
Non-employee 6 295 11,0 6 110 11,1 6 604 11,4
 including women 2 242 3,9 2 206 4,0 2 602 4,5
 including part time jobs 626 1,1 622 1,1 848 1,5
  • 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 58 301 100,0
Farmer operators 695 1,2
Handicrafters, traders, business leaders 3 454 5,9
Managers and higher intellectual professions 6 240 10,7
Intermediate professions 14 284 24,5
Employees 17 512 30,0
Workers 16 116 27,6
  • 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 1,5 1,5 1,2
Handicrafters, traders, business leaders 5,6 6,1 5,9
Managers and higher intellectual professions 10,2 9,9 10,7
Intermediate professions 23,7 24,7 24,5
Employees 30,4 31,2 30,0
Workers 28,6 26,6 27,6
  • 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 57 255 100,0 54 997 100,0 58 301 100,0 48,4 89,7
Agriculture 1 606 2,8 1 297 2,4 1 292 2,2 19,5 46,6
Industry 8 577 15,0 8 146 14,8 8 790 15,1 31,6 96,1
Construction 4 078 7,1 3 585 6,5 4 033 6,9 10,0 83,1
Wholesale and retail trade/transports/accommodations and food service activities 24 320 42,5 22 473 40,9 24 279 41,6 46,5 87,1
Public administration/education/human health/social work 18 673 32,6 19 496 35,4 19 908 34,1 67,6 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 19,0 19,9
Industry 31,7 28,9
Construction 11,2 4,1
Wholesale and retail trade, transports, accommodations and food service activities 47,4 41,0
Public administration, education, human health, social work 68,3 57,3
  • 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 Boulogne-sur-Mer (623)

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 60 555 100,0 18,4 47,1
Employees 53 818 88,9 19,1 48,1
Non-employees 6 737 11,1 13,0 39,4
  • 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 32 034 100 28 521 100
Employees 27 951 87,3 25 868 90,7
 Tenured personnel and open-ended employment contracts 23 174 72,3 21 153 74,2
 Fixed-term employment contracts 2 150 6,7 3 118 10,9
 Temporary employment 1 325 4,1 575 2,0
 Assisted jobs 241 0,8 285 1,0
 Apprentice ship contract - Traineeship 1 060 3,3 736 2,6
Non-employees 4 084 12,7 2 653 9,3
 Independents 1 948 6,1 1 776 6,2
 Employers 2 109 6,6 819 2,9
 Caregivers 27 0,1 58 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 27 707 8,2 25 631 30,3
15 to 24 years old 3 349 23,8 2 615 38,1
25 to 54 years old 20 245 5,5 18 724 28,4
55 to 64 years old 4 113 9,0 4 292 33,6
  • 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 8,2 9,6 8,6
Female 36,5 34,4 30,5
  • 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 59 513 100 57 820 100 60 555 100
Working in their residential zone 18 310 30,8 17 618 30,5 17 302 28,6
Working in another zone 41 202 69,2 40 202 69,5 43 253 71,4
  • 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 3,6
Walking 8,1
Bicycle 1,2
Motorized two-wheeled vehicles 1,0
Car or truck 81,4
Public transports 4,7
  • 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, 2014-2023

Arrondissement of Boulogne-sur-Mer (623)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021 2022 2023
Domiciled deaths 1 591 1 591 1 594 1 653 1 668 1 509 1 726 1 701 1 814 1 674
Domiciled births 1 820 1 820 1 786 1 680 1 647 1 595 1 595 1 593 1 605 1 463
  • Source: Insee, civil status statistics in geography as of 01/01/2024.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2024.

Household income and poverty in 2021

Arrondissement of Boulogne-sur-Mer (623)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 67 356
Number of people in tax households 151 660
Median disposable income (per consumption unit in euros) 20 640
Share of actually taxed tax households (in %) 44,0
  • 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 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 32,3
30 to 39 years old 23,1
40 to 49 years old 19,7
50 to 59 years old 16,0
60 to 74 years old 13,4
75 and over 13,2
Altogether 18,5
  • 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

  • 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 6,9
Tenant 34,9
Altogether 18,5
  • 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 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 68,1
   Wages 60,0
   Unemployment pensions 2,7
   Self-employed income 5,4
Retirement pension or annuity 30,3
Capital income (real estate, financial, others) 8,5
Social benefits 7,6
   Child benefit 2,4
   Income support 3,6
   Housing benefit 1,6
Tax –14,5
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) 20 640
Inter-decile ratio 3,0
1st decile (in euros) 11 640
9th decile (in euros) 35 360
  • 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 2022

Arrondissement of Boulogne-sur-Mer (623)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022
Altogether Female Male
Altogether 14,2 12,9 15,0
Managerial staff * 25,6 21,6 27,3
Intermediate professions 15,8 14,6 16,6
Employees 11,6 11,4 12,0
Workers 12,1 10,8 12,4
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022
Difference (in%)
Altogether –14,4
Managerial staff * –21,0
Intermediate professions –12,0
Employees –5,2
Workers –13,0
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL T1 - Net average hourly wage (in euros) by age in 2022

SAL T1 - Net average hourly wage (in euros) by age in 2022
Age Altogether Female Male
15 to 25 years old 10,7 10,5 10,9
26 to 50 years old 13,9 12,9 14,6
50 years old or above 16,5 14,0 18,1
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022
Gender pay gap (in%)
15 to 25 years old –3,2
26 to 50 years old –11,6
50 years old or above –22,5
  • 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, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

  • 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, file of employees at place of residence in geography as of 01/01/2024.

Establishment characteristics at the end of 2023

Arrondissement of Boulogne-sur-Mer (623)

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 4 833 100,0 435 3 466 435 308 189
Agriculture, forestry and fishing 242 5,0 46 191 2 2 1
Industrial economy 328 6,8 14 180 51 42 41
Building industry 457 9,5 40 324 50 30 13
Trade, transport, various services 3 037 62,8 313 2 274 254 145 51
General government, education, healthcare, social action 769 15,9 22 497 78 89 83
  • 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 53 120 100,0 10 489 5 811 9 278 7 202 20 340
Agriculture, forestry and fishing 601 1,1 400 26 47 0 128
Industrial economy 8 575 16,1 697 699 1 335 992 4 852
Building industry 3 574 6,7 1 034 676 802 781 281
Trade, transport, various services 20 601 38,8 6 857 3 359 4 304 2 188 3 893
General government, education, healthcare, social action 19 769 37,2 1 501 1 051 2 790 3 241 11 186
  • 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
%
General government, education, healthcare, social action 15,9
Trade, transport, various services 62,8
Building industry 9,5
Industrial economy 6,8
Agriculture, forestry and fishing 5,0
  • 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
%
50 or more employees 3,9
20 to 49 employees 6,4
10 to 19 employees 9,0
1 to 9 employees 71,7
0 employee 9,0
  • 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 4 833 100,0 53 120 100,0
Productive sphere 1 452 30,0 17 073 32,1
of which public domain 8 0,2 130 0,2
Presential sphere 3 381 70,0 36 047 67,9
of which public domain 338 7,0 14 077 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 6 136 100,0
Employers of childminders 2 025 33,0
Employers of other employees 4 111 67,0
  • 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 Boulogne-sur-Mer (623)

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 1 468 79,2 7,5 12,5 0,7
Industry 160 92,5 2,5 5,0 0,0
Construction 118 66,1 15,3 14,4 4,2
Wholesale and retail trade/transports/accommodations and food service activities 459 81,3 7,8 10,9 0,0
Information/communication 58 89,7 0,0 10,3 0,0
Finance and insurance activities 41 9,8 19,5 61,0 9,8
Real estate activities 67 64,2 17,9 17,9 0,0
Professional/scientific/technical activites/administrative and support service activities 273 72,5 7,3 20,1 0,0
Public administration/education/healthcare/social work 127 92,9 4,7 0,8 1,6
Other service activities 165 90,3 3,6 6,1 0,0
  • 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 899 809 941 873 820 899 888 1 157 1 294 1 460 1 444 1 415 1 468
Sole proprietorship 703 632 732 659 586 613 689 910 1 049 1 177 1 090 1 113 1 163
SARL 143 111 109 102 95 122 89 106 86 108 125 128 110
SAS 34 42 78 96 118 136 89 122 138 152 203 154 184
Other societies 19 24 22 16 21 28 21 19 21 23 26 20 11
  • 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 1 752 100,0
Industry 186 10,6
Construction 125 7,1
Wholesale and retail trade/transports/accommodations and food service activities 582 33,2
Information/communication 60 3,4
Finance and insurance activities 47 2,7
Real estate activities 98 5,6
Professional/scientific/technical activites/administrative and support service activities 317 18,1
Public administration/education/healthcare/social work 157 9,0
Other service activities by the number of business creations including free lancers 180 10,3
  • 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 979 922 1 029 979 932 984 981 1 285 1 425 1 619 1 613 1 581 1 752
  • 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 2022

Arrondissement of Boulogne-sur-Mer (623)

DEN T3 - Number of economically active legal units by economic sector in 2022

DEN T3 - Number of economically active legal units by economic sector in 2022
Sector of activity Number %
Altogether 8 860 100,0
Industry 552 6,2
Construction 912 10,3
Wholesale and retail trade/transports/accommodations and food service activities 2 616 29,5
Information/communication 166 1,9
Finance and insurance activities 482 5,4
Real estate activities 519 5,9
Professional/scientific/technical activites/administrative and support service activities 1 204 13,6
Public administration/education/human health/social work 1 565 17,7
Other service activities 844 9,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T4 - Number of economically active establishments by economic sector in 2022

DEN T4 - Number of economically active establishments by economic sector in 2022
Sector of activity Number %
Altogether 10 094 100,0
Industry 652 6,5
Construction 984 9,7
Wholesale and retail trade/transports/accommodations and food service activities 3 064 30,4
Information/communication 183 1,8
Finance and insurance activities 591 5,9
Real estate activities 547 5,4
Professional/scientific/technical activites/administrative and support service activities 1 463 14,5
Public administration/education/human health/social work 1 694 16,8
Other service activities 916 9,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Facilities and services for the population in 2024

Arrondissement of Boulogne-sur-Mer (623)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 45
Grocery store, convenience store 53
Bakery and pastry shop 119
Service station 31
Electric vehicle charging station 30
Hair salon 221
  • 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 159
Dentist 83
Physiotherapist 244
Nurse 339
Psychologist 30
Pharmacy 61
  • 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 138
Middle school 18
General and/or technological upper secondary school 5
Vocational or agricultural upper secondary school 5
Library 33
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Arrondissement of Boulogne-sur-Mer (623)

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 39 1 080
1 star 1 41
2 stars 10 231
3 stars 17 573
4 stars 2 53
5 stars 0 0
Non-ranked 9 182
  • 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 23 3 595
1 star 0 0
2 stars 6 1 077
3 stars 8 1 289
4 stars 2 269
5 stars 0 0
Non-ranked 7 960
  • 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 4 1 421
Tourist accommodations 2 920
Holiday villages or private homes 1 364
Youth hostels or sports center 1 137
  • (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.

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

Market activity: The activity of a company is qualified as market if its operating expenses are normally covered for more than 50 % through the sale of its production. The activity of an establishment is market if this establishment contributes essentially to the production of a good or service considered to be market, either by nature or because its selling price exceeds 50 % of its production costs.

Public domain: An establishment belongs to this area if it is part of a legal category 7 enterprise (legal person or body subject to administrative law) or if more than half of its workforce is part of the State civil service.

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

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Business Demography Information System (SIDE)

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

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

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

The number of companies or legal entities in year N corresponds to the number of economically active companies or legal entities in year N.

Pay and salaried employment localized file (Flores)

The Flores system (Pay and salaried employment localized file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments which ceased their activity during the year.

The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.

Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.

The Flores device succeeds Clap, whose last vintage described the year 2015. The results from Flores and Clap are not comparable, and therefore should not be the subject of evolving comparative analyzes.

Specifically:

-Clap covered all active establishments, employers and non-employers. The number of establishments with zero staff at the end of the year was therefore much higher in Clap, because of this difference in field.

- Conversely, Clap only counted so-called non-ancillary jobs, that is to say those exceeding a certain threshold of remuneration and / or duration. This restriction has been removed in Flores, which counts all workstations.

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 2024;

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, 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 01/01/2024;

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 01/01/2024;

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.

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

Warning on the nature of municipal data and their use for the localized file of remunerations and salaried employment (Flores)

INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should focus on areas "of sufficient size" (several thousand salaried positions), in order to limit errors that could be due to occasional erroneous declarations by certain establishments.

Status of municipal data from Flores differs in particular from that of Employment Estimates, which are subject to full validation by experts and which are disseminated at a more aggregate level (department and employment area at the finest). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.