données locales

Paru le : 06/11/2025

Full set of local data Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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

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

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

Growth and structure of the population in 2022

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 28 722 100,0 33 720 100,0 34 842 100,0
0 to 14 years old 4 421 15,4 4 975 14,8 4 502 12,9
15 to 29 years old 3 791 13,2 4 352 12,9 3 937 11,3
30 to 44 years old 5 192 18,1 5 658 16,8 5 150 14,8
45 to 59 years old 5 930 20,6 6 641 19,7 6 896 19,8
60 to 74 years old 6 415 22,3 8 251 24,5 9 388 26,9
75 and over 2 973 10,4 3 844 11,4 4 969 14,3
  • 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 15,4 14,8 12,9
15 to 29 years old 13,2 12,9 11,3
30 to 44 years old 18,1 16,8 14,8
45 to 59 years old 20,6 19,7 19,8
60 to 74 years old 22,3 24,5 26,9
75 and over 10,4 11,4 14,3
  • 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 11 199 11 023 13 592 18 355 21 998 26 185 28 722 33 720 34 842
Average density (inhab / km²) 64,1 63,1 77,8 105,1 126,0 149,9 164,5 193,1 199,5
  • (*) 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 % –0,2 3,0 3,8 2,0 2,5 1,9 3,3 0,5
due to the natural balance in % –0,3 –0,3 0,1 0,1 –0,1 0,0 0,0 –0,5
due to the apparent balance of inflows and outflows in % 0,0 3,4 3,7 2,0 2,7 1,8 3,3 1,0
Natality rate (‰) 11,7 11,4 13,2 10,7 10,4 10,8 10,6 7,0
Mortality rate (‰) 14,4 14,8 11,8 10,2 11,9 10,6 10,5 11,9
  • 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 16 690 100,0 18 152 100,0
0 to 14 years old 2 222 13,3 2 280 12,6
15 to 29 years old 2 051 12,3 1 886 10,4
30 to 44 years old 2 415 14,5 2 735 15,1
45 to 59 years old 3 321 19,9 3 575 19,7
60 to 74 years old 4 463 26,7 4 926 27,1
75 to 89 years old 2 074 12,4 2 437 13,4
90 years and over 145 0,9 312 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 16 690 100,0 18 152 100,0
0 to 19 years old 3 063 18,3 3 009 16,6
20 to 64 years old 8 291 49,7 8 889 49,0
65 and over 5 336 32,0 6 253 34,4
  • 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 28 437 100,0 33 428 100,0 34 636 100,0
In the same house 24 473 86,1 28 952 86,6 30 741 88,8
In another house in the same town 1 005 3,5 1 343 4,0 1 114 3,2
In another town 2 959 10,4 3 133 9,4 2 781 8,0
  • 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 %

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 34,1 65,9
15 to 24 years old 31,2 68,8
25 to 54 years old 30,8 69,2
55 years old and over 21,4 78,6
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • 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 24 330 100,0 28 704 100,0 30 500 100,0
Farmer operators 213 0,9 247 0,9 218 0,7
Craftsmen, traders, business leaders 1 129 4,6 1 459 5,1 1 489 4,9
Managers and higher intellectual professions 919 3,8 1 147 4,0 1 327 4,4
Middle-level occupations 2 717 11,2 3 185 11,1 3 112 10,2
Services employee 4 063 16,7 4 981 17,4 4 672 15,3
Blue-collar workers 2 712 11,1 2 776 9,7 2 994 9,8
Retirees 9 128 37,5 11 248 39,2 12 772 41,9
Other people with no professional activity 3 450 14,2 3 661 12,8 3 916 12,8
  • 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 14 534 15 966 100,0 100,0 100,0
Farmer operators 144 74 0,4 1,4 0,3
Craftsmen, traders, business leaders 904 585 1,1 9,2 2,7
Managers and higher intellectual professions 721 607 0,4 9,0 2,0
Middle-level occupations 1 400 1 712 5,9 21,4 3,7
Services employee 1 217 3 455 17,5 29,9 5,6
Blue-collar workers 2 440 553 16,6 18,2 3,3
Retirees 6 260 6 512 0,0 0,3 75,5
Other people with no professional activity 1 447 2 469 58,1 10,5 6,9
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 13 148 100,0 15 995 100,0 17 483 100,0 28 334 33 360 34 297
One-person households (male and female) 4 152 31,6 5 598 35,0 6 968 39,9 4 152 5 598 6 968
 Single Male 1 772 13,5 2 475 15,5 3 058 17,5 1 772 2 475 3 058
 Single Female 2 380 18,1 3 124 19,5 3 910 22,4 2 380 3 124 3 910
Other households without families 281 2,1 419 2,6 239 1,4 601 917 506
Family households : 8 715 66,3 9 978 62,4 10 276 58,8 23 581 26 845 26 823
 Couple without children 4 480 34,1 5 205 32,5 5 662 32,4 9 227 10 681 11 526
 Couple with children 3 009 22,9 3 285 20,5 3 003 17,2 11 323 12 369 11 197
 Single parent 1 226 9,3 1 488 9,3 1 611 9,2 3 031 3 795 4 100
  • 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 2,95 2,81 2,71 2,63 2,37 2,23 2,15 2,08 1,95
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G1 - Growth estimates of households’ size since 1968

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

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

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2011 2016 2022
15 to 19 years old 1,2 1,5 1,4
20 to 24 years old 10,5 9,9 14,1
25 to 39 years old 11,5 13,0 16,4
40 to 54 years old 13,4 16,1 18,8
55 to 64 years old 18,1 21,8 24,9
65 to 79 years old 24,2 24,7 29,0
80 and above 45,3 44,8 46,2
  • 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 1,7 1,7
20 to 24 years old 27,6 26,4 20,6
25 to 39 years old 68,9 65,4 62,5
40 to 54 years old 71,6 66,6 64,7
55 to 64 years old 76,3 70,8 68,6
65 to 79 years old 71,0 71,0 68,0
80 and above 40,7 43,8 46,2
  • 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 44,4
Civil partnership 5,0
In cohabitation 10,3
Widowed 8,6
Divorced 8,9
Single 22,8
  • 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 17 483 100,0 34 297 100,0
including farmer operators 145 0,8 419 1,2
including craftsmen, traders, business leaders 1 043 6,0 2 712 7,9
including managers and higher intellectual professions 861 4,9 2 055 6,0
including intermediate professions 1 984 11,3 4 717 13,8
including employees 2 840 16,2 6 394 18,6
including workers 1 914 10,9 4 525 13,2
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

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

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 0,8
Handicrafters, traders, business leaders 6,0
Managers and higher intellectual professions 4,9
Intermediate professions 11,3
Employees 16,2
Workers 10,9
  • 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 8 774 100,0 10 083 100,0 10 374 100,0
Couple with children 3 017 34,4 3 313 32,9 3 007 29,0
Single parent 1 257 14,3 1 532 15,2 1 664 16,0
 Male single parent 208 2,4 289 2,9 342 3,3
 Female single parent 1 049 12,0 1 243 12,3 1 323 12,7
Couple without children 4 500 51,3 5 238 51,9 5 702 55,0
  • 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 3 007 100,0
Traditional family 2 500 83,1
Blended family 507 16,9
  • 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 8 774 100,0 10 083 100,0 10 374 100,0
Without any 5 020 57,2 5 778 57,3 6 387 61,6
1 child 1 889 21,5 2 099 20,8 2 040 19,7
2 children 1 383 15,8 1 663 16,5 1 463 14,1
3 children 389 4,4 442 4,4 386 3,7
4 children or above 92 1,0 100 1,0 98 0,9
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 5 506 10 636 21 904 32 345 38 220 43 489 43 816 46 098 48 184
Principal residences 3 706 3 868 4 895 6 838 9 129 11 577 13 145 15 966 17 569
Second dwellings and occasional dwellings 1 251 5 701 16 048 22 494 27 223 30 813 29 326 28 909 29 361
Vacant accommodations 549 1 067 961 3 013 1 868 1 099 1 344 1 223 1 253
  • (*) 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 30,0 34,6 36,5
Second dwellings and occasional dwellings 66,9 62,7 60,9
Vacant dwellings 3,1 2,7 2,6
  • 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 43 816 100,0 46 098 100,0 48 184 100,0
Houses 23 719 54,1 24 395 52,9 26 600 55,2
Flats 19 205 43,8 20 764 45,0 20 992 43,6
Others 892 2,0 939 2,0 591 1,2
  • 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 2 821 6,4 1 603 3,5
due to the household size effect 434 1,0 1 076 2,3
due to the demographic effect 2 387 5,4 527 1,1
  • 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 13 145 100,0 15 966 100,0 17 569 100,0
1 room 338 2,6 521 3,3 596 3,4
2 rooms 1 637 12,5 2 522 15,8 2 758 15,7
3 rooms 3 260 24,8 4 009 25,1 4 659 26,5
4 rooms 4 090 31,1 4 570 28,6 4 931 28,1
5 rooms or above 3 819 29,1 4 344 27,2 4 625 26,3
  • 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 3,9 3,7 3,7
House 4,2 4,2 4,2
Flat 2,7 2,6 2,6
  • 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 21,5 23,2 23,2
Moderate over-occupation 4,8 7,0 5,7
Severe over-occupation 0,4 0,6 0,6
Moderate under-occupation 30,4 28,5 29,6
Severe under-occupation 24,1 23,4 23,2
Very severe under-occupation 18,7 17,2 17,8
  • 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 17 234 100,0
Before 1919 887 5,1
From 1919 to 1945 714 4,1
From 1946 to 1970 1 954 11,3
From 1971 to 1990 6 179 35,9
From 1991 to 2005 4 107 23,8
From 2006 to 2019 3 392 19,7
  • 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 754 130
From 1919 to 1945 571 141
From 1946 to 1970 1 337 596
From 1971 to 1990 4 093 2 016
From 1991 to 2005 3 373 705
From 2006 to 2018 2 274 1 098
  • 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 17 569 100,0 34 298 3,7 1,9
Less than 2 years ago 2 209 12,6 4 247 3,2 1,7
From 2 to 4 years ago 3 821 21,7 7 552 3,4 1,7
From 5 to 9 years ago 3 384 19,3 6 909 3,6 1,8
10 years ago or above 8 156 46,4 15 590 4,1 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 12,6
From 2 to 4 years ago 21,7
From 5 to 9 years ago 19,3
From 10 to 19 years ago 22,9
From 20 to 29 years ago 12,0
30 years ago or above 11,5
  • 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 13 145 100,0 15 966 100,0 17 569 100,0 34 298 12,8
Homeowner 9 260 70,4 10 806 67,7 11 901 67,7 23 675 15,8
Tenant 3 410 25,9 4 609 28,9 5 138 29,2 9 610 6,1
including public tenants 550 4,2 836 5,2 911 5,2 1 940 9,7
Housed for free 474 3,6 552 3,5 530 3,0 1 012 11,6
  • 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 601 4,6 741 4,6 570 3,2
Fuel oil 783 6,0 587 3,7 411 2,3
Electricity 9 612 73,1 12 229 76,6 14 475 82,4
Bottled or tank gas 336 2,6 323 2,0 240 1,4
Other (wood, solar, geothermal, etc.) 1 813 13,8 2 086 13,1 1 874 10,7
  • 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 11 600 88,2 14 191 88,9 15 878 90,4
 1 car 7 047 53,6 8 759 54,9 9 896 56,3
 2 cars or above 4 553 34,6 5 431 34,0 5 982 34,0
  • 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 13 145 100,0 15 966 100,0 17 569 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 9 590 73,0 11 695 73,3 12 887 73,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 1 003 739 73,7 72,7 74,8
6 to 10 years old 1 624 1 581 97,3 97,5 97,1
11 to 14 years old 1 463 1 423 97,2 96,8 97,7
15 to 17 years old 1 048 974 92,9 93,9 91,8
18 to 24 years old 1 698 654 38,5 35,7 41,5
25 to 29 years old 1 191 52 4,4 3,7 5,1
30 years old or above 26 403 168 0,6 0,7 0,6
  • 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 75,7 73,4 73,7
6 to 10 years old 98,8 97,7 97,3
11 to 14 years old 99,6 98,8 97,2
15 to 17 years old 94,0 94,3 92,9
18 to 24 years old 39,0 36,0 38,5
25 to 29 years old 3,3 4,0 4,4
30 years old or above 0,9 0,6 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 28 493 13 524 14 969
Proportion of graduates in percentage
No diploma or primary education certificate 20,5 19,0 21,9
BEPC brevet des collèges or DNB 7,3 6,5 8,0
CAP, BEP or equivalent 29,1 33,7 25,1
Baccalauréat, brevet professionnel or equivalent 19,8 19,3 20,3
2 years at university 9,6 8,6 10,6
3 to 4 years at university 8,2 7,0 9,2
5 years or more at university 5,4 5,9 5,0
  • 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 30,4 20,5
BEPC brevet des collèges or DNB 8,4 7,3
CAP, BEP or equivalent 26,8 29,1
Baccalauréat, brevet professionnel or equivalent 17,3 19,8
2 years or more at university 17,0 23,2
  • 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

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 17 588 19 476 18 751
Working age adult in % 66,1 70,3 72,2
 Working age adults with a job in % 54,7 55,4 59,2
 Unemployed workers in % 11,4 14,9 12,9
Economically inactive people in % 33,9 29,7 27,8
 Pupils, students or interns in % 6,7 7,0 7,1
 Retirees in % 16,3 11,9 10,0
 Other economically inactive people in % 10,8 10,9 10,7
  • 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 18 751 13 535 72,2 11 108 59,2
 15 to 24 years old 2 746 1 252 45,6 826 30,1
 25 to 54 years old 10 835 9 679 89,3 8 122 75,0
 55 to 64 years old 5 170 2 605 50,4 2 160 41,8
Male 9 132 6 755 74,0 5 610 61,4
 15 to 24 years old 1 443 704 48,8 479 33,2
 25 to 54 years old 5 214 4 801 92,1 4 108 78,8
 55 to 64 years old 2 474 1 250 50,5 1 023 41,4
Female 9 619 6 780 70,5 5 498 57,2
 15 to 24 years old 1 303 548 42,0 347 26,6
 25 to 54 years old 5 620 4 878 86,8 4 014 71,4
 55 to 64 years old 2 696 1 354 50,2 1 137 42,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 59,2
Unemployed workers 12,9
Retirees 10,0
Pupils, students or interns 7,1
Other economically inactive people 10,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • 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 11 717 9 635 13 781 11 004 13 587 11 071
including farmer operators 205 201 242 237 208 208
including handicrafters, traders and business leaders 1 088 973 1 409 1 216 1 385 1 241
including managers and higher intellectual professions 903 856 1 127 1 032 1 255 1 164
including intermediate professions 2 688 2 396 3 164 2 730 3 058 2 778
including employees 4 038 3 103 4 950 3 782 4 580 3 546
including workers 2 696 2 106 2 761 2 006 2 924 2 134
  • 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 2 006 2 897 2 427
Unemployment rate in % 17,3 21,2 17,9
Unemployment of the 15-24 aged 37,9 44,3 34,0
Unemployment of the 25-54 aged 14,9 18,3 16,1
Unemployment of the 55-64 aged 14,8 20,0 17,1
  • 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 28,9
BEPC brevet des collèges or DNB 25,4
CAP, BEP or equivalent 21,6
Baccalauréat, brevet professionnel or equivalent 17,6
2 years at university 12,7
3 to 4 years at university 9,6
5 years or more at university 6,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 7 256 8 024 8 333
Working age adult living in the area 9 715 10 945 11 364
Occupational concentration by industry 74,7 73,3 73,3
employment rate of 15 years old or above in % 48,3 48,2 45,5
  • 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 7 256 100,0 8 024 100,0 8 333 100,0
Employee 5 540 76,3 6 195 77,2 6 404 76,8
 including women 2 940 40,5 3 338 41,6 3 452 41,4
 including part time jobs 1 222 16,8 1 393 17,4 1 351 16,2
Non-employee 1 717 23,7 1 829 22,8 1 930 23,2
 including women 610 8,4 718 9,0 798 9,6
 including part time jobs 211 2,9 250 3,1 303 3,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 8 602 100,0
Farmer operators 207 2,4
Handicrafters, traders, business leaders 1 142 13,3
Managers and higher intellectual professions 812 9,4
Intermediate professions 2 023 23,5
Employees 2 893 33,6
Workers 1 526 17,7
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 2,7 3,1 2,4
Handicrafters, traders, business leaders 13,8 13,7 13,3
Managers and higher intellectual professions 8,1 7,9 9,4
Intermediate professions 20,1 20,7 23,5
Employees 33,7 35,6 33,6
Workers 21,6 19,0 17,7
  • 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 7 148 100,0 8 012 100,0 8 602 100,0 52,2 78,6
Agriculture 376 5,3 473 5,9 405 4,7 36,4 56,7
Industry 471 6,6 590 7,4 629 7,3 39,3 90,8
Construction 509 7,1 428 5,3 524 6,1 9,3 48,0
Wholesale and retail trade/transports/accommodations and food service activities 3 655 51,1 3 947 49,3 4 281 49,8 52,2 75,6
Public administration/education/human health/social work 2 137 29,9 2 574 32,1 2 762 32,1 65,4 89,5
  • 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 41,5 29,6
Industry 41,7 15,7
Construction 10,6 8,2
Wholesale and retail trade, transports, accommodations and food service activities 53,3 48,9
Public administration, education, human health, social work 65,7 62,8
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

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

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

Characteristics of employment in the sense of the census in 2022

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 11 362 100,0 17,8 49,5
Employees 9 178 80,8 18,4 51,7
Non-employees 2 184 19,2 15,3 40,0
  • 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 5 741 100 5 621 100
Employees 4 431 77,2 4 748 84,5
 Tenured personnel and open-ended employment contracts 3 659 63,7 3 924 69,8
 Fixed-term employment contracts 456 7,9 636 11,3
 Temporary employment 104 1,8 40 0,7
 Assisted jobs 26 0,4 35 0,6
 Apprentice ship contract - Traineeship 186 3,2 113 2,0
Non-employees 1 310 22,8 874 15,5
 Independents 757 13,2 598 10,6
 Employers 538 9,4 262 4,7
 Caregivers 15 0,3 15 0,3
  • 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 4 360 8,9 4 666 26,1
15 to 24 years old 443 19,9 331 32,6
25 to 54 years old 3 187 7,1 3 430 23,0
55 to 64 years old 729 10,2 905 35,5
  • 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 8,1 9,2 9,5
Female 31,2 31,0 26,7
  • 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 9 712 100 10 939 100 11 362 100
Working in their residential zone 3 213 33,1 3 536 32,3 3 204 28,2
Working in another zone 6 499 66,9 7 403 67,7 8 158 71,8
  • 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 4,3
Walking 4,6
Bicycle 1,8
Motorized two-wheeled vehicles 1,4
Car or truck 85,5
Public transports 2,3
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 321 337 379 398 431 426 476 471 509 485
Domiciled births 304 253 258 244 212 240 228 216 226 217
  • 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

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 17 186
Number of people in tax households 33 758
Median disposable income (per consumption unit in euros) 21 340
Share of actually taxed tax households (in %) 45,6
  • 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 30,0
30 to 39 years old 23,3
40 to 49 years old 18,6
50 to 59 years old 19,8
60 to 74 years old 13,8
75 and over 11,5
Altogether 17,3
  • 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 10,9
Tenant 31,6
Altogether 17,3
  • 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 54,0
   Wages 44,8
   Unemployment pensions 3,7
   Self-employed income 5,5
Retirement pension or annuity 44,5
Capital income (real estate, financial, others) 9,0
Social benefits 6,0
   Child benefit 1,5
   Income support 3,3
   Housing benefit 1,2
Tax –13,5
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) 21 340
Inter-decile ratio 3,0
1st decile (in euros) 11 490
9th decile (in euros) 34 860
  • 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

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 2 282 1 945 2 626
Managerial staff* 6 392 3 195 8 510
Intermediate professions 2 281 2 255 2 313
Employees 1 783 1 764 1 813
Workers 1 763 1 705 1 781
  • * 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 –25,9
Managerial staff* –62,5
Intermediate professions –2,5
Employees –2,7
Workers –4,3
  • * 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 1 678 1 669 1 687
25 to 39 years old 1 942 1 936 1 948
40 to 49 years old 2 134 2 073 2 197
50 to 54 years old 4 438 2 021 7 244
55 years old or older 2 167 1 990 2 346
  • 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 –1,0
25 to 39 years old –0,6
40 to 49 years old –5,6
50 to 54 years old –72,1
55 years old or older –15,2
  • 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

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 1 283 100,0 296 860 78 29 20
Agriculture, forestry and fishing 65 5,1 12 44 9 0 0
Industrial economy 61 4,8 14 42 1 3 1
Building industry 90 7,0 13 70 6 1 0
Trade, transport, various services 969 75,5 248 649 49 17 6
General government, education, healthcare, social action 98 7,6 9 55 13 8 13
  • 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 6 784 100,0 2 362 1 040 821 960 1 601
Agriculture, forestry and fishing 221 3,3 116 105 0 0 0
Industrial economy 531 7,8 135 13 74 0 309
Building industry 260 3,8 153 82 25 0 0
Trade, transport, various services 3 524 51,9 1 780 654 488 332 270
General government, education, healthcare, social action 2 248 33,1 178 186 234 628 1 022
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
Part
Agriculture, forestry and fishing 5,1
Industrial economy 4,8
Building industry 7,0
Trade, transport, various services 75,5
General government, education, healthcare, social action 7,6
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

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

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

RES G2 - Distribution of establishments by workforce size at the end of 2023
Part
50 or more employees 1,6
20 to 49 employees 2,3
10 to 19 employees 6,1
1 to 9 employees 67,0
0 employee 23,1
  • 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 1 283 100,0 6 784 100,0
Productive sphere 251 19,6 1 236 18,2
of which public domain 0 0,0 0 0,0
Presential sphere 1 032 80,4 5 548 81,8
of which public domain 44 3,4 1 472 21,7
  • 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 1 214 100,0
Employers of childminders 316 26,0
Employers of other employees 898 74,0
  • 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

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 554 78,3 6,0 14,8 0,9
Industry 39 92,3 2,6 5,1 0,0
Construction 56 71,4 7,1 17,9 3,6
Wholesale and retail trade/transports/accommodations and food service activities 172 65,7 11,6 21,5 1,2
Information/communication 16 100,0 0,0 0,0 0,0
Finance and insurance activities 10 30,0 10,0 50,0 10,0
Real estate activities 27 63,0 3,7 33,3 0,0
Professional/scientific/technical activites/administrative and support service activities 107 86,0 3,7 10,3 0,0
Public administration/education/healthcare/social work 57 93,0 1,8 5,3 0,0
Other service activities 70 91,4 1,4 7,1 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 390 389 402 316 359 386 379 434 412 538 491 494 554
Sole proprietorship 292 300 319 241 269 276 309 349 328 426 378 388 434
SARL 77 63 46 27 32 35 19 23 23 32 40 34 33
SAS 17 23 34 46 55 69 48 57 57 73 69 68 82
Other societies 4 3 3 2 3 6 3 5 4 7 4 4 5
  • 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 725 100,0
Industry 53 7,3
Construction 61 8,4
Wholesale and retail trade/transports/accommodations and food service activities 241 33,2
Information/communication 15 2,1
Finance and insurance activities 9 1,2
Real estate activities 63 8,7
Professional/scientific/technical activites/administrative and support service activities 135 18,6
Public administration/education/healthcare/social work 71 9,8
Other service activities by the number of business creations including free lancers 77 10,6
  • 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 571 453 456 363 434 452 441 500 463 603 576 576 725
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

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

Number of legal entities and establishments in 2023

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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

DEN T3 - Number of economically active legal units by economic sector in 2023
Sector of activity Number %
Altogether 3 005 100,0
Industry 178 5,9
Construction 351 11,7
Wholesale and retail trade/transports/accommodations and food service activities 924 30,7
Information/communication 58 1,9
Finance and insurance activities 66 2,2
Real estate activities 243 8,1
Professional/scientific/technical activites/administrative and support service activities 403 13,4
Public administration/education/human health/social work 443 14,7
Other service activities 339 11,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

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

DEN T4 - Number of economically active establishments by economic sector in 2023
Sector of activity Number %
Altogether 3 391 100,0
Industry 193 5,7
Construction 365 10,8
Wholesale and retail trade/transports/accommodations and food service activities 1 077 31,8
Information/communication 58 1,7
Finance and insurance activities 80 2,4
Real estate activities 251 7,4
Professional/scientific/technical activites/administrative and support service activities 510 15,0
Public administration/education/human health/social work 488 14,4
Other service activities 369 10,9
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Facilities and services for the population in 2024

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 8
Grocery store, convenience store 31
Bakery and pastry shop 38
Service station 10
Electric vehicle charging station 12
Hair salon 69
  • 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 27
Dentist 16
Physiotherapist 96
Nurse 85
Psychologist 3
Pharmacy 10
  • 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 19
Middle school 1
General and/or technological upper secondary school 0
Vocational or agricultural upper secondary school 0
Library 9
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Living zone 2022 of Saint-Laurent-de-la-Salanque (66180)

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 10 213
1 star 0 0
2 stars 2 53
3 stars 2 79
4 stars 1 19
5 stars 0 0
Non-ranked 5 62
  • 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 24 7 219
1 star 0 0
2 stars 2 265
3 stars 4 589
4 stars 9 3 147
5 stars 7 3 088
Non-ranked 2 130
  • 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 11 4 760
Tourist accommodations 8 3 241
Holiday villages or private homes 2 1 449
Youth hostels or sports center 1 70
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

Définitions

Declarative judgments of birth: Any birth occurring on French territory must be the subject of a declaration to the Civil register within three days of giving birth, giving rise to an act. If this declaration has not been made within this legal period, it is the subject of a declaration of birth giving rise to a transcription in the civil status registers.

Declarations of death: When death is insured but the body could not be found (plane crash, disappearance at sea ...), a declaratory judgment of death is drawn up which results in transcription on the civil status registers.

Tax household: Household made up of the grouping of tax households listed in the same dwelling. Its existence in a given year is due to the fact that at least an independent declaration of income coincides with the occupation of a dwelling known to the Housing Tax. Households made up of people who do not have their fiscal independence (mainly students) are counted in households where they declare their income even if they occupy independent accommodation.

Wage in full-time equivalent (FTE) :

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

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

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

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

Champ

Population censuses

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

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

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

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

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

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

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (Filosofi)

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

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

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

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

All employees databases (BTS)

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

Business Demography Information System (Side)

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

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

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

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

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Permanent database of facilities

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

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

Hotel occupancy survey

The scope covers tourist hotels, classified or not, with more than 5 bedrooms and campsites with more than 10 pitches, classified or not, including residential campsites. It also covers other collective tourist accommodation.

Statistics on the accommodation offer are established in conjunction with the regional tourism committees (CRT) and the general management of enterprises (DGE). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel business relate to the campsites offering sites for transient customers intended for tourists who do not choose to live there as well. only on campsites offering pitches rented year-round, that is to say to a single customer for the entire period when the campsite is open.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France. The distribution by star is not available for the 2013 vintage for hotels, because the classification being paid, the distribution by star was not significant.

The information on other collective accommodation in the overseas departments is of lower quality. Since 2018, the field concerning other collective accommodation in the overseas departments has been deleted. The workforce from other collective accommodation has been transferred to hotels.

Unique electoral register

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

The scope concerns voters registered on the main electoral list.

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

Géographie

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

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

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

All employees databases (BTS), file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2025;

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

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

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

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

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

Release threshold for the population census

The population census makes it possible to know the diversity and evolution of the population of France. Insee thus provides statistics on inhabitants and dwellings, their number and their characteristics: distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc.

Data from additional census holdings are not disseminated for areas less than 2 000 inhabitants. In addition, numbers below 200 should be handled with care, as it cannot be significant.

Particularity of Civil register data

The data, for the municipalities of Paris (75056), Lyon (69123) and Marseille (13055), are presented for the entire municipality and for each municipal district.

For these municipalities, the municipal district of the domicile is not systematically informed about the statistical bulletin. Births are therefore only counted in the database at the level of the municipality and not of the municipal district. The sum of births in the arrondissements of Lyon (Marseille and Paris respectively) is therefore not always equal to the number of births in the municipality of Lyon (Marseille and Paris respectively).

Dissemination threshold and statistical confidentiality of the Localized Social and Fiscal File (Filosofi)

Data from Filosofi are subject to statistical confidentiality. No statistics are disseminated on very small areas (less than 50 households and less than 100 people).

Three indicators (median standard of living, counts in number of households and number of people) are proposed for areas with more than 50 households or more than 100 people.

In the largest areas (more than 1,000 households or more than 2 000 people), all indicators are generally offered. They are also disseminated on the sub-populations associated with a socio-demographic criterion (for example under 30 years) having a minimum number of at least 200 people and at least 11 households.

Poverty rates are disseminated for areas with more than 1,000 households or more than 2 000 ppeople in which there are at least 200 people and 11 poor households, as well as at least 200 people and 11 households above the poverty line.

They are distributed to sub-populations associated with a socio-demographic criterion (for example under 30s) with a minimum workforce of at least 200 people. and at least 11 poor households and at least 200 people and at least 11 households above the poverty line.

When the rates are in the ranges [0; 5] and [95; 100], the exact value is not displayed, it is replaced by the values ​​5 % and 95 % respectively.

The components of disposable income are disseminated over areas over 1 000 households or more than 2 000 people, provided that for each of the income components there are at least 11 households for which the component is non-zero.

Confidentiality and precautions of the All Employees databases (BTS)

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

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

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

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

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

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

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

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