données locales

Paru le : 02/09/2025

Full set of local data Functional area 2020 of Lens - Liévin (042)

Detailed figures
Paru le :Paru le02/09/2025
- September 2025

The data presented are disseminated according to the 2025 geography.

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

Growth and structure of the population in 2022

Functional area 2020 of Lens - Liévin (042)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 322 814 100,0 321 233 100,0 320 800 100,0
0 to 14 years old 66 358 20,6 65 808 20,5 62 760 19,6
15 to 29 years old 63 420 19,6 59 196 18,4 58 051 18,1
30 to 44 years old 60 999 18,9 61 614 19,2 60 638 18,9
45 to 59 years old 64 360 19,9 61 559 19,2 59 832 18,7
60 to 74 years old 40 822 12,6 46 885 14,6 53 692 16,7
75 and over 26 855 8,3 26 172 8,1 25 827 8,1
  • 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 20,6 20,5 19,6
15 to 29 years old 19,6 18,4 18,1
30 to 44 years old 18,9 19,2 18,9
45 to 59 years old 19,9 19,2 18,7
60 to 74 years old 12,6 14,6 16,7
75 and over 8,3 8,1 8,1
  • 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 354 999 341 678 336 575 332 871 328 784 323 916 322 814 321 233 320 800
Average density (inhab / km²) 1 019,0 980,8 966,1 955,5 943,8 929,8 926,6 922,1 920,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % –0,5 –0,2 –0,1 –0,1 –0,2 –0,1 –0,1 –0,0
due to the natural balance in % 0,8 0,6 0,7 0,4 0,4 0,4 0,4 0,1
due to the apparent balance of inflows and outflows in % –1,3 –0,8 –0,8 –0,6 –0,6 –0,5 –0,5 –0,2
Natality rate (‰) 18,3 16,4 17,0 14,0 13,9 14,4 14,1 12,1
Mortality rate (‰) 10,4 10,7 10,4 9,9 10,0 10,1 10,1 10,6
  • 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 153 291 100,0 167 509 100,0
0 to 14 years old 32 070 20,9 30 690 18,3
15 to 29 years old 29 132 19,0 28 919 17,3
30 to 44 years old 29 955 19,5 30 683 18,3
45 to 59 years old 29 478 19,2 30 354 18,1
60 to 74 years old 24 091 15,7 29 601 17,7
75 to 89 years old 7 944 5,2 14 501 8,7
90 years and over 622 0,4 2 760 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 153 291 100,0 167 509 100,0
0 to 19 years old 43 070 28,1 41 089 24,5
20 to 64 years old 87 030 56,8 90 423 54,0
65 and over 23 191 15,1 35 998 21,5
  • 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 318 193 100,0 316 961 100,0 317 083 100,0
In the same house 288 832 90,8 286 485 90,4 290 260 91,5
In another house in the same town 11 267 3,5 12 336 3,9 10 301 3,2
In another town 18 094 5,7 18 141 5,7 16 523 5,2
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 43,7 56,3
15 to 24 years old 34,0 66,0
25 to 54 years old 36,2 63,8
55 years old and over 45,0 55,0
  • 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 256 707 100,0 255 525 100,0 257 422 100,0
Farmer operators 316 0,1 300 0,1 245 0,1
Craftsmen, traders, business leaders 5 205 2,0 5 197 2,0 5 544 2,2
Managers and higher intellectual professions 8 962 3,5 9 037 3,5 11 416 4,4
Middle-level occupations 29 165 11,4 30 344 11,9 33 001 12,8
Services employee 43 283 16,9 43 926 17,2 42 583 16,5
Blue-collar workers 45 102 17,6 43 178 16,9 42 898 16,7
Retirees 62 819 24,5 63 264 24,8 67 347 26,2
Other people with no professional activity 61 856 24,1 60 279 23,6 54 386 21,1
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 121 092 136 329 100,0 100,0 100,0
Farmer operators 187 59 0,0 0,1 0,1
Craftsmen, traders, business leaders 3 697 1 847 0,6 3,5 1,2
Managers and higher intellectual professions 7 102 4 314 0,9 7,5 2,1
Middle-level occupations 16 390 16 611 7,6 21,5 4,6
Services employee 10 704 31 880 15,5 25,2 6,6
Blue-collar workers 34 773 8 124 15,8 26,0 5,9
Retirees 29 125 38 222 0,0 0,1 67,5
Other people with no professional activity 19 114 35 273 59,5 16,0 11,9
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Functional area 2020 of Lens - Liévin (042)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 130 089 100,0 132 305 100,0 136 860 100,0 319 615 317 160 316 999
One-person households (male and female) 38 275 29,4 41 501 31,4 46 118 33,7 38 275 41 501 46 118
 Single Male 13 387 10,3 15 664 11,8 18 630 13,6 13 387 15 664 18 630
 Single Female 24 889 19,1 25 837 19,5 27 488 20,1 24 889 25 837 27 488
Other households without families 2 964 2,3 2 282 1,7 1 651 1,2 7 579 5 689 3 794
Family households : 88 850 68,3 88 521 66,9 89 091 65,1 273 761 269 969 267 087
 Couple without children 33 037 25,4 32 457 24,5 32 882 24,0 68 154 66 504 66 924
 Couple with children 41 596 32,0 40 308 30,5 39 291 28,7 166 347 160 990 155 763
 Single parent 14 217 10,9 15 757 11,9 16 918 12,4 39 260 42 475 44 401
  • 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 3,43 3,19 2,93 2,84 2,69 2,52 2,46 2,40 2,31
  • (*) 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 0,7 1,2 1,8
20 to 24 years old 5,0 6,1 8,3
25 to 39 years old 7,9 9,2 10,4
40 to 54 years old 10,6 12,2 13,0
55 to 64 years old 17,9 20,1 22,7
65 to 79 years old 30,9 28,9 30,6
80 and above 56,4 56,5 57,5
  • 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 2,9 2,8 2,1
20 to 24 years old 31,4 30,2 30,0
25 to 39 years old 72,5 70,0 69,9
40 to 54 years old 73,7 71,6 70,9
55 to 64 years old 72,8 70,6 68,1
65 to 79 years old 60,9 63,9 63,0
80 and above 30,4 31,0 31,8
  • 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 40,1
Civil partnership 5,8
In cohabitation 12,1
Widowed 8,8
Divorced 6,4
Single 26,8
  • 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 136 860 100,0 316 999 100,0
including farmer operators 168 0,1 539 0,2
including craftsmen, traders, business leaders 3 896 2,8 11 196 3,5
including managers and higher intellectual professions 7 378 5,4 20 247 6,4
including intermediate professions 19 607 14,3 52 581 16,6
including employees 22 960 16,8 58 713 18,5
including workers 29 315 21,4 86 700 27,4
  • 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 0,1
Handicrafters, traders, business leaders 2,8
Managers and higher intellectual professions 5,4
Intermediate professions 14,3
Employees 16,8
Workers 21,4
  • 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 89 569 100,0 89 191 100,0 89 676 100,0
Couple with children 41 666 46,5 40 396 45,3 39 366 43,9
Single parent 14 709 16,4 16 227 18,2 17 250 19,2
 Male single parent 2 100 2,3 2 349 2,6 2 715 3,0
 Female single parent 12 609 14,1 13 877 15,6 14 535 16,2
Couple without children 33 194 37,1 32 568 36,5 33 060 36,9
  • 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 39 366 100,0
Traditional family 33 696 85,6
Blended family 5 670 14,4
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 89 569 100,0 89 191 100,0 89 676 100,0
Without any 39 573 44,2 40 268 45,1 40 947 45,7
1 child 20 927 23,4 20 052 22,5 20 622 23,0
2 children 17 032 19,0 17 234 19,3 17 408 19,4
3 children 8 386 9,4 8 248 9,2 7 511 8,4
4 children or above 3 651 4,1 3 389 3,8 3 189 3,6
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Functional area 2020 of Lens - Liévin (042)

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 106 714 111 328 121 852 125 273 127 160 133 076 138 726 144 083 148 298
Principal residences 102 606 106 440 114 168 116 706 121 197 127 112 130 087 132 295 137 040
Second dwellings and occasional dwellings 142 459 519 837 700 294 360 468 714
Vacant accommodations 3 966 4 429 7 165 7 730 5 263 5 670 8 278 11 321 10 544
  • (*) 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 93,8 91,8 92,4
Second dwellings and occasional dwellings 0,3 0,3 0,5
Vacant dwellings 6,0 7,9 7,1
  • 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 138 726 100,0 144 083 100,0 148 298 100,0
Houses 112 656 81,2 115 250 80,0 118 499 79,9
Flats 25 371 18,3 28 011 19,4 28 990 19,5
Others 699 0,5 822 0,6 809 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 2 207 1,6 4 745 3,3
due to the household size effect 3 309 2,4 4 764 3,3
due to the demographic effect –1 102 –0,8 –18 –0,0
  • 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 130 087 100,0 132 295 100,0 137 040 100,0
1 room 2 123 1,6 2 003 1,5 2 407 1,8
2 rooms 10 198 7,8 10 303 7,8 10 446 7,6
3 rooms 20 972 16,1 21 604 16,3 22 783 16,6
4 rooms 40 517 31,1 40 297 30,5 39 814 29,1
5 rooms or above 56 277 43,3 58 087 43,9 61 590 44,9
  • 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 4,3 4,3 4,4
House 4,6 4,6 4,7
Flat 3,0 3,0 3,0
  • 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 17,4 17,0 16,1
Moderate over-occupation 4,3 3,9 3,7
Severe over-occupation 0,6 0,5 0,5
Moderate under-occupation 25,8 26,5 25,7
Severe under-occupation 26,8 26,6 26,1
Very severe under-occupation 25,0 25,5 28,0
  • 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 135 491 100,0
Before 1919 4 880 3,6
From 1919 to 1945 27 229 20,1
From 1946 to 1970 35 386 26,1
From 1971 to 1990 35 509 26,2
From 1991 to 2005 15 034 11,1
From 2006 to 2019 17 453 12,9
  • 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 4 657 219
From 1919 to 1945 25 964 1 234
From 1946 to 1970 30 460 4 837
From 1971 to 1990 26 278 8 800
From 1991 to 2005 10 633 4 340
From 2006 to 2018 12 113 5 228
  • 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 137 040 100,0 317 011 4,4 1,9
Less than 2 years ago 13 129 9,6 28 642 3,7 1,7
From 2 to 4 years ago 25 685 18,7 62 457 4,0 1,6
From 5 to 9 years ago 25 105 18,3 67 060 4,2 1,6
10 years ago or above 73 121 53,4 158 852 4,7 2,1
  • 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 9,6
From 2 to 4 years ago 18,7
From 5 to 9 years ago 18,3
From 10 to 19 years ago 19,6
From 20 to 29 years ago 11,5
30 years ago or above 22,2
  • 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 130 087 100,0 132 295 100,0 137 040 100,0 317 011 17,1
Homeowner 59 301 45,6 61 026 46,1 64 846 47,3 156 178 22,2
Tenant 64 450 49,5 67 351 50,9 69 760 50,9 156 142 12,2
including public tenants 30 473 23,4 43 153 32,6 42 938 31,3 98 761 13,2
Housed for free 6 336 4,9 3 917 3,0 2 434 1,8 4 691 25,1
  • 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 89 190 68,6 91 642 69,3 94 280 68,8
Fuel oil 7 483 5,8 5 855 4,4 4 323 3,2
Electricity 21 987 16,9 23 855 18,0 26 446 19,3
Bottled or tank gas 1 369 1,1 843 0,6 681 0,5
Other (wood, solar, geothermal, etc.) 10 059 7,7 10 100 7,6 11 310 8,3
  • 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 100 398 77,2 104 115 78,7 110 651 80,7
 1 car 62 505 48,0 63 448 48,0 65 629 47,9
 2 cars or above 37 893 29,1 40 667 30,7 45 022 32,9
  • 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 130 087 100,0 132 295 100,0 137 040 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 88 126 67,7 91 183 68,9 94 923 69,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Functional area 2020 of Lens - Liévin (042)

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 15 734 12 257 77,9 77,5 78,3
6 to 10 years old 22 097 21 432 97,0 97,0 97,0
11 to 14 years old 17 785 17 362 97,6 97,4 97,8
15 to 17 years old 13 346 12 464 93,4 92,3 94,5
18 to 24 years old 26 444 9 965 37,7 36,2 39,2
25 to 29 years old 18 261 627 3,4 3,4 3,5
30 years old or above 199 989 1 217 0,6 0,6 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 78,3 76,5 77,9
6 to 10 years old 98,8 97,5 97,0
11 to 14 years old 98,7 98,3 97,6
15 to 17 years old 94,0 93,9 93,4
18 to 24 years old 37,9 37,9 37,7
25 to 29 years old 2,6 3,2 3,4
30 years old or above 0,5 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 233 767 109 280 124 487
Proportion of graduates in percentage
No diploma or primary education certificate 26,5 21,6 30,8
BEPC brevet des collèges or DNB 6,7 6,1 7,2
CAP, BEP or equivalent 28,1 34,1 22,8
Baccalauréat, brevet professionnel or equivalent 19,0 19,0 19,0
2 years at university 9,7 9,7 9,7
3 to 4 years at university 6,1 5,3 6,9
5 years or more at university 3,9 4,2 3,6
  • 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 36,0 26,5
BEPC brevet des collèges or DNB 7,2 6,7
CAP, BEP or equivalent 27,1 28,1
Baccalauréat, brevet professionnel or equivalent 15,1 19,0
2 years or more at university 14,5 19,7
  • 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

Functional area 2020 of Lens - Liévin (042)

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 207 330 202 024 198 852
Working age adult in % 65,5 67,4 69,4
 Working age adults with a job in % 52,6 53,0 57,7
 Unemployed workers in % 13,0 14,3 11,7
Economically inactive people in % 34,5 32,6 30,6
 Pupils, students or interns in % 9,7 9,6 9,6
 Retirees in % 9,2 7,5 6,4
 Other economically inactive people in % 15,6 15,5 14,6
  • 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 198 852 137 945 69,4 114 648 57,7
 15 to 24 years old 39 790 17 955 45,1 12 135 30,5
 25 to 54 years old 118 410 100 669 85,0 85 714 72,4
 55 to 64 years old 40 651 19 321 47,5 16 800 41,3
Male 98 030 73 832 75,3 61 642 62,9
 15 to 24 years old 20 255 9 827 48,5 6 593 32,5
 25 to 54 years old 58 353 53 887 92,3 46 265 79,3
 55 to 64 years old 19 422 10 118 52,1 8 785 45,2
Female 100 821 64 112 63,6 53 006 52,6
 15 to 24 years old 19 535 8 127 41,6 5 542 28,4
 25 to 54 years old 60 057 46 782 77,9 39 449 65,7
 55 to 64 years old 21 229 9 203 43,4 8 015 37,8
  • 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 57,7
Unemployed workers 11,7
Retirees 6,4
Pupils, students or interns 9,6
Other economically inactive people 14,6
  • 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 135 895 108 914 136 044 107 095 137 966 115 391
including farmer operators 298 289 271 265 227 218
including handicrafters, traders and business leaders 5 116 4 544 5 078 4 457 5 429 5 106
including managers and higher intellectual professions 8 915 8 692 8 915 8 559 11 283 10 922
including intermediate professions 29 088 26 256 30 226 27 233 32 690 30 140
including employees 43 145 35 181 43 727 35 163 42 303 35 434
including workers 44 964 33 953 42 964 31 419 42 607 33 571
  • 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 26 866 28 974 23 296
Unemployment rate in % 19,8 21,3 16,9
Unemployment of the 15-24 aged 43,4 43,9 32,4
Unemployment of the 25-54 aged 16,3 18,4 14,9
Unemployment of the 55-64 aged 12,3 15,9 13,0
  • 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 31,2
BEPC brevet des collèges or DNB 25,5
CAP, BEP or equivalent 20,3
Baccalauréat, brevet professionnel or equivalent 15,8
2 years at university 8,4
3 to 4 years at university 5,9
5 years or more at university 5,6
  • 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 99 960 97 881 102 756
Working age adult living in the area 109 566 107 859 115 775
Occupational concentration by industry 91,2 90,7 88,8
employment rate of 15 years old or above in % 53,2 53,6 53,9
  • 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 99 960 100,0 97 881 100,0 102 756 100,0
Employee 92 220 92,3 89 755 91,7 93 942 91,4
 including women 45 397 45,4 45 087 46,1 47 559 46,3
 including part time jobs 18 380 18,4 17 877 18,3 17 321 16,9
Non-employee 7 740 7,7 8 126 8,3 8 815 8,6
 including women 2 788 2,8 3 052 3,1 3 462 3,4
 including part time jobs 826 0,8 1 052 1,1 1 090 1,1
  • 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 103 292 100,0
Farmer operators 227 0,2
Handicrafters, traders, business leaders 4 875 4,7
Managers and higher intellectual professions 11 656 11,3
Intermediate professions 27 923 27,0
Employees 32 369 31,3
Workers 26 241 25,4
  • 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 0,3 0,3 0,2
Handicrafters, traders, business leaders 4,6 4,7 4,7
Managers and higher intellectual professions 10,5 10,6 11,3
Intermediate professions 24,8 25,7 27,0
Employees 32,3 33,3 31,3
Workers 27,5 25,4 25,4
  • 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 100 310 100,0 98 069 100,0 103 292 100,0 49,5 92,3
Agriculture 510 0,5 419 0,4 462 0,4 26,3 50,4
Industry 11 343 11,3 9 902 10,1 9 891 9,6 24,6 94,5
Construction 9 061 9,0 7 750 7,9 8 104 7,8 8,5 87,5
Wholesale and retail trade/transports/accommodations and food service activities 42 232 42,1 42 548 43,4 45 659 44,2 45,9 90,9
Public administration/education/human health/social work 37 165 37,0 37 450 38,2 39 176 37,9 68,7 94,8
  • 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 32,7 19,9
Industry 24,5 25,2
Construction 9,2 3,6
Wholesale and retail trade, transports, accommodations and food service activities 46,4 40,8
Public administration, education, human health, social work 69,6 53,1
  • 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

Functional area 2020 of Lens - Liévin (042)

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 115 739 100,0 16,4 46,3
Employees 107 272 92,7 16,7 46,9
Non-employees 8 467 7,3 13,2 39,2
  • 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 62 132 100 53 608 100
Employees 56 982 91,7 50 290 93,8
 Tenured personnel and open-ended employment contracts 47 990 77,2 41 116 76,7
 Fixed-term employment contracts 4 077 6,6 6 111 11,4
 Temporary employment 2 735 4,4 1 021 1,9
 Assisted jobs 442 0,7 612 1,1
 Apprentice ship contract - Traineeship 1 737 2,8 1 431 2,7
Non-employees 5 150 8,3 3 317 6,2
 Independents 2 803 4,5 2 413 4,5
 Employers 2 303 3,7 834 1,6
 Caregivers 44 0,1 71 0,1
  • 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 56 673 6,6 49 785 27,8
15 to 24 years old 6 371 21,0 5 380 33,5
25 to 54 years old 42 566 4,5 36 910 25,9
55 to 64 years old 7 736 5,9 7 495 32,9
  • 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 7,1 6,7
Female 33,1 31,6 27,9
  • 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 109 520 100 107 852 100 115 739 100
Working in their residential zone 24 420 22,3 23 197 21,5 22 368 19,3
Working in another zone 85 100 77,7 84 655 78,5 93 372 80,7
  • 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 2,6
Walking 4,1
Bicycle 1,5
Motorized two-wheeled vehicles 1,2
Car or truck 85,3
Public transports 5,2
  • 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

Functional area 2020 of Lens - Liévin (042)

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 3 322 3 301 3 237 3 483 3 238 3 632 3 621 3 473 3 415 3 319
Domiciled births 4 366 4 205 4 075 3 761 3 721 3 763 3 818 3 728 3 534 3 460
  • 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

Functional area 2020 of Lens - Liévin (042)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 128 878
Number of people in tax households 300 236
Median disposable income (per consumption unit in euros) 19 150
Share of actually taxed tax households (in %) 38,6
  • 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 34,1
30 to 39 years old 27,6
40 to 49 years old 25,3
50 to 59 years old 21,7
60 to 74 years old 17,7
75 and over 15,2
Altogether 23,3
  • 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 8,0
Tenant 39,0
Altogether 23,3
  • 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 69,7
   Wages 63,0
   Unemployment pensions 3,2
   Self-employed income 3,5
Retirement pension or annuity 28,3
Capital income (real estate, financial, others) 3,8
Social benefits 10,4
   Child benefit 3,3
   Income support 5,0
   Housing benefit 2,1
Tax –12,2
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 19 150
Inter-decile ratio 2,9
1st decile (in euros) 10 820
9th decile (in euros) 31 420
  • 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

Functional area 2020 of Lens - Liévin (042)

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 2 272 2 051 2 419
Managerial staff* 4 051 3 581 4 297
Intermediate professions 2 764 2 348 3 112
Employees 1 812 1 787 1 870
Workers 1 935 1 686 1 981
  • * 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 –15,2
Managerial staff* –16,7
Intermediate professions –24,5
Employees –4,5
Workers –14,9
  • * 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 1 854 1 678 1 985
25 to 39 years old 2 154 1 970 2 276
40 to 49 years old 2 336 2 151 2 463
50 to 54 years old 2 507 2 154 2 736
55 years old or older 2 557 2 285 2 731
  • 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 –15,5
25 to 39 years old –13,4
40 to 49 years old –12,7
50 to 54 years old –21,3
55 years old or older –16,3
  • 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

Functional area 2020 of Lens - Liévin (042)

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

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 6 604 100,0 515 4 455 734 515 385
Agriculture, forestry and fishing 81 1,2 11 68 1 1 0
Industrial economy 404 6,1 30 218 58 55 43
Building industry 785 11,9 92 474 118 68 33
Trade, transport, various services 4 180 63,3 337 3 072 361 280 130
General government, education, healthcare, social action 1 154 17,5 45 623 196 111 179
  • 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 96 333 100,0 14 921 9 813 15 637 14 443 41 519
Agriculture, forestry and fishing 186 0,2 147 10 29 0 0
Industrial economy 9 235 9,6 855 809 1 666 1 220 4 685
Building industry 8 244 8,6 1 618 1 574 2 048 1 643 1 361
Trade, transport, various services 41 502 43,1 9 949 4 817 8 466 4 607 13 663
General government, education, healthcare, social action 37 166 38,6 2 352 2 603 3 428 6 973 21 810
  • 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 17,5
Trade, transport, various services 63,3
Building industry 11,9
Industrial economy 6,1
Agriculture, forestry and fishing 1,2
  • 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 5,8
20 to 49 employees 7,8
10 to 19 employees 11,1
1 to 9 employees 67,5
0 employee 7,8
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

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

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

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 6 604 100,0 96 333 100,0
Productive sphere 1 661 25,2 26 668 27,7
of which public domain 13 0,2 124 0,1
Presential sphere 4 943 74,8 69 665 72,3
of which public domain 457 6,9 21 626 22,4
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 7 747 100,0
Employers of childminders 3 928 50,7
Employers of other employees 3 819 49,3
  • 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

Functional area 2020 of Lens - Liévin (042)

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 3 301 80,0 5,3 14,1 0,6
Industry 276 89,9 4,0 6,2 0,0
Construction 293 69,3 9,6 20,5 0,7
Wholesale and retail trade/transports/accommodations and food service activities 1 292 79,9 4,3 15,8 0,0
Information/communication 120 85,8 1,7 12,5 0,0
Finance and insurance activities 69 7,2 23,2 46,4 23,2
Real estate activities 78 79,5 9,0 11,5 0,0
Professional/scientific/technical activites/administrative and support service activities 519 79,4 4,8 15,4 0,4
Public administration/education/healthcare/social work 255 89,4 6,7 3,5 0,4
Other service activities 399 87,0 3,5 9,5 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 1 707 1 620 1 633 1 409 1 403 1 558 1 856 2 205 2 332 2 955 2 963 2 928 3 301
Sole proprietorship 1 324 1 258 1 221 1 035 976 1 086 1 416 1 729 1 866 2 360 2 353 2 406 2 640
SARL 307 265 249 193 168 152 170 183 135 170 186 165 176
SAS 63 83 153 156 241 301 252 283 317 404 401 341 464
Other societies 13 14 10 25 18 19 18 10 14 21 23 16 21
  • 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 3 696 100,0
Industry 311 8,4
Construction 314 8,5
Wholesale and retail trade/transports/accommodations and food service activities 1 439 38,9
Information/communication 129 3,5
Finance and insurance activities 76 2,1
Real estate activities 99 2,7
Professional/scientific/technical activites/administrative and support service activities 572 15,5
Public administration/education/healthcare/social work 329 8,9
Other service activities by the number of business creations including free lancers 427 11,6
  • 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 1 894 1 753 1 793 1 588 1 603 1 710 2 013 2 396 2 534 3 151 3 181 3 135 3 696
  • 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

Functional area 2020 of Lens - Liévin (042)

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 13 030 100,0
Industry 786 6,0
Construction 1 548 11,9
Wholesale and retail trade/transports/accommodations and food service activities 3 868 29,7
Information/communication 284 2,2
Finance and insurance activities 455 3,5
Real estate activities 448 3,4
Professional/scientific/technical activites/administrative and support service activities 1 711 13,1
Public administration/education/human health/social work 2 467 18,9
Other service activities 1 463 11,2
  • 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 15 030 100,0
Industry 902 6,0
Construction 1 667 11,1
Wholesale and retail trade/transports/accommodations and food service activities 4 699 31,3
Information/communication 333 2,2
Finance and insurance activities 589 3,9
Real estate activities 480 3,2
Professional/scientific/technical activites/administrative and support service activities 2 058 13,7
Public administration/education/human health/social work 2 722 18,1
Other service activities 1 580 10,5
  • 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

Functional area 2020 of Lens - Liévin (042)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 72
Grocery store, convenience store 123
Bakery and pastry shop 192
Service station 42
Electric vehicle charging station 70
Hair salon 459
  • 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 255
Dentist 162
Physiotherapist 377
Nurse 527
Psychologist 46
Pharmacy 108
  • 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 236
Middle school 34
General and/or technological upper secondary school 10
Vocational or agricultural upper secondary school 8
Library 40
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Functional area 2020 of Lens - Liévin (042)

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 18 988
1 star 2 73
2 stars 5 271
3 stars 5 314
4 stars 2 133
5 stars 0 0
Non-ranked 4 197
  • 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 0 0
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2025.

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 1 24
Tourist accommodations 1 24
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 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 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 01/01/2024;

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.

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.