données locales

Paru le : 21/02/2023

Full set of local data Municipality of Lestrem (62502)

Detailed figures
Paru le : Paru le 21/02/2023
- February 2023

Growth and structure of the population in 2019

Municipality of Lestrem (62502)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 4 147 100,0 4 386 100,0 4 728 100,0
0 to 14 years old 871 21,0 942 21,5 997 21,1
15 to 29 years old 705 17,0 692 15,8 736 15,6
30 to 44 years old 936 22,6 981 22,4 977 20,7
45 to 59 years old 926 22,3 915 20,9 975 20,6
60 to 74 years old 421 10,2 577 13,2 742 15,7
75 and over 287 6,9 279 6,4 300 6,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 21,0 21,5 21,1
15 to 29 years old 17,0 15,8 15,6
30 to 44 years old 22,6 22,4 20,7
45 to 59 years old 22,3 20,9 20,6
60 to 74 years old 10,2 13,2 15,7
75 and over 6,9 6,4 6,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 2 662 2 727 3 044 3 753 3 789 4 147 4 386 4 728
Average density (inhab / km²) 125,9 128,9 143,9 177,4 179,1 196,1 207,4 223,5
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 0,3 1,6 2,7 0,1 1,0 1,1 1,3
due to the natural balance in % 0,5 0,3 0,6 0,1 0,2 0,1 0,2
due to the apparent balance of inflows and outflows in % –0,1 1,3 2,1 –0,0 0,8 1,0 1,1
Natality rate (‰) 17,2 16,0 17,2 11,0 11,1 11,0 10,1
Mortality rate (‰) 12,6 13,0 11,4 9,9 9,2 9,6 8,6
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 2 328 100,0 2 400 100,0
0 to 14 years old 479 20,6 519 21,6
15 to 29 years old 389 16,7 347 14,5
30 to 44 years old 483 20,7 494 20,6
45 to 59 years old 499 21,4 476 19,8
60 to 74 years old 376 16,2 366 15,2
75 to 89 years old 96 4,1 167 7,0
90 years and over 6 0,3 31 1,3
0 to 19 years old 661 28,4 656 27,3
20 to 64 years old 1 338 57,5 1 336 55,7
65 and over 329 14,1 408 17,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 4 340 100,0 4 679 100,0
In the same house 3 893 89,7 4 285 91,6
In another house in the same town 86 2,0 75 1,6
In another town 361 8,3 319 6,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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 15,1 84,9
15 to 24 years old 19,3 80,7
25 to 54 years old 21,3 78,7
55 years old and over 17,4 82,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T5 - Population aged 15 years and over by socioprofessional classification

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 3 280 100,0 3 455 100,0 3 688 100,0
Farmer operators 38 1,2 37 1,1 10 0,3
Craftsmen, traders, business leaders 118 3,6 126 3,6 157 4,3
Managers and higher intellectual professions 224 6,8 247 7,2 266 7,2
Middle-level occupations 523 16,0 629 18,2 626 17,0
Services employee 539 16,4 543 15,7 580 15,7
Blue-collar workers 542 16,5 536 15,5 570 15,5
Retirees 772 23,5 841 24,4 886 24,0
Other people with no professional activity 524 16,0 496 14,4 593 16,1
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 1 834 1 854 100,0 100,0 100,0
Farmer operators 10 0 0,0 0,3 0,4
Craftsmen, traders, business leaders 99 58 0,9 7,5 0,8
Managers and higher intellectual professions 183 84 1,9 11,6 3,0
Middle-level occupations 302 323 10,4 28,4 2,5
Services employee 110 470 6,6 25,1 5,5
Blue-collar workers 502 68 13,2 21,0 8,0
Retirees 419 466 0,0 0,3 70,5
Other people without professional activity 208 385 66,8 5,8 9,3
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Lestrem (62502)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 1 482 100,0 1 621 100,0 1 745 100,0 4 076 4 313 4 635
One-person households (male and female) 274 18,5 308 19,0 339 19,4 274 308 339
 Single Male 78 5,3 141 8,7 153 8,8 78 141 153
 Single Female 195 13,2 166 10,3 185 10,6 195 166 185
Other households without families 17 1,2 21 1,3 16 0,9 34 41 52
Family households: 1 191 80,4 1 293 79,7 1 391 79,7 3 768 3 964 4 244
 Couple with no children 441 29,8 530 32,7 558 32,0 912 1 077 1 115
 Couple with children 665 44,9 668 41,2 692 39,6 2 635 2 623 2 752
 Single parent 85 5,7 94 5,8 141 8,1 221 264 377
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 3,67 3,40 3,19 3,28 2,97 2,75 2,66 2,65
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - 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 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 0,7 0,7 1,0
20 to 24 years old 3,0 8,8 5,7
25 to 39 years old 4,4 4,2 5,6
40 to 54 years old 4,9 5,2 5,6
55 to 64 years old 8,1 12,1 11,5
65 to 79 years old 24,1 19,7 18,8
80 and over 49,5 48,3 46,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 0,0 2,8 0,0
20 to 24 years old 18,3 28,2 20,3
25 to 39 years old 82,9 84,4 80,4
40 to 54 years old 86,9 85,4 85,4
55 to 64 years old 87,0 82,7 82,1
65 to 79 years old 66,5 73,0 75,8
80 and over 27,2 29,6 34,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 53,3
Civil partnership 5,6
In cohabitation 10,0
Widowed 6,4
Divorced 4,1
Single 20,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM T2 - Households by socioprofessional classification of the reference person in 2019

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 1 745 100,0 4 635 100,0
Farmer operators 10 0,6 42 0,9
Craftsmen, traders, business leaders 105 6,0 293 6,3
Managers and higher intellectual professions 199 11,4 625 13,5
Middle-level occupations 282 16,2 921 19,9
Services employee 277 15,9 855 18,4
Blue-collar workers 377 21,6 1 068 23,1
Retirees 459 26,3 758 16,4
Other people with no professional activity 37 2,1 74 1,6
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,6
Handicrafters, traders, business leaders 6,0
Managers and higher intellectual professions 11,4
Middle-level occupations 16,2
Services employee 15,9
Blue-collar workers 21,6
Retirees 26,3
Unemployed persons 2,1
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 1 204 100,0 1 305 100,0 1 396 100,0
Couple with children 669 55,6 672 51,5 692 49,5
Single parent 89 7,4 94 7,2 147 10,5
Male single parent 13 1,1 8 0,6 31 2,2
Female single parent 76 6,4 86 6,6 115 8,3
Couple with no children 445 37,0 538 41,3 558 40,0
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM T4 - Families by number of children under 25 years old

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 1 204 100,0 1 305 100,0 1 396 100,0
No children 518 43,0 616 47,2 626 44,8
1 child 254 21,1 252 19,3 256 18,4
2 children 276 22,9 274 21,0 349 25,0
3 children 120 9,9 127 9,8 124 8,9
4 children and over 37 3,0 35 2,7 41 2,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Lestrem (62502)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Altogether 758 826 998 1 189 1 319 1 560 1 744 1 896
Main residences 712 784 933 1 121 1 251 1 481 1 621 1 757
Second homes 1 7 8 6 11 13 4 15
Vacant dwellings 45 35 57 62 57 66 119 125
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2008 % 2013 % 2019 %
Altogether 1 560 100,0 1 744 100,0 1 896 100,0
Main residences 1 481 95,0 1 621 92,9 1 757 92,6
Second homes 13 0,8 4 0,2 15 0,8
Vacant dwellings 66 4,2 119 6,8 125 6,6
Houses 1 498 96,1 1 658 95,0 1 801 95,0
Flats 55 3,5 77 4,4 93 4,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 1 481 100,0 1 621 100,0 1 757 100,0
1 room 26 1,8 22 1,3 24 1,4
2 rooms 47 3,1 63 3,9 49 2,8
3 rooms 90 6,1 83 5,1 141 8,0
4 rooms 324 21,9 270 16,6 307 17,5
5 rooms and over 994 67,1 1 183 73,0 1 235 70,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 5,2 5,3 5,2
Houses 5,3 5,5 5,3
Flats 2,5 2,9 2,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 0,6
Non-over-occupied 99,4
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG T5 - Main residences in 2019 by completion period

LOG T5 - Main residences in 2019 by completion period
Number %
Principal residences build before 2016 1 740 100,0
before 1919 78 4,5
from 1919 to 1945 289 16,6
from 1946 to 1970 250 14,4
from 1971 to 1990 521 29,9
from 1991 to 2005 302 17,4
from 2006 to 2015 300 17,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 78 0
from 1919 to 1945 272 18
from 1946 to 1970 229 21
from 1971 to 1990 507 13
from 1991 to 2005 290 13
from 2006 to 2015 291 8
  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T6 - Main residence tenure in 2019

LOG T6 - Main residence tenure in 2019
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 1 757 100,0 4 650 5,2 2,0
Less than 2 years 161 9,1 391 4,4 1,8
From 2 to 4 years 247 14,0 744 4,8 1,6
From 5 to 9 years 287 16,4 903 5,3 1,7
10 years and over 1 062 60,4 2 612 5,4 2,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 9,1
From 2 to 4 years 14,0
From 5 to 9 years 16,4
From 10 to 19 years 22,4
From 20 to 29 years 12,1
30 years and over 26,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 1 481 100,0 1 621 100,0 1 757 100,0 4 650 18,5
Homeowner 1 238 83,6 1 317 81,2 1 405 80,0 3 820 21,3
Tenant 224 15,1 285 17,6 328 18,6 783 6,4
(including social sector housing) 50 3,4 49 3,0 54 3,1 95 10,7
Housed for free 19 1,3 20 1,2 24 1,4 46 19,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2008 % 2013 % 2019 %
Altogether 1 481 100,0 1 621 100,0 1 757 100,0
Bathroom including a shower or a bath 1 415 95,6 1 543 95,2 1 724 98,1
Collective central heating 46 3,1 7 0,4 20 1,1
Individual central heating 662 44,7 673 41,5 749 42,7
Individual electric heating 423 28,5 523 32,3 581 33,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2008 % 2013 % 2019 %
Altogether 1 481 100,0 1 621 100,0 1 757 100,0
At least one parking spot 1 256 84,8 1 424 87,8 1 532 87,2
At least one car 1 358 91,7 1 518 93,7 1 667 94,9
1 car 593 40,1 596 36,8 659 37,5
2 cars and over 764 51,6 923 56,9 1 008 57,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Lestrem (62502)

FOR T1 - Enrollment by age and sex in 2019

FOR T1 - Enrollment by age and sex in 2019
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 246 197 80,1 77,0 83,4
6 to 10 years old 345 339 98,2 97,4 98,9
11 to 14 years old 307 302 98,3 98,5 98,1
15 to 17 years old 222 218 98,1 98,4 97,7
18 to 24 years old 320 168 52,6 48,6 56,7
25 to 29 years old 195 4 2,1 4,1 0,0
30 years old and over 2 994 18 0,6 0,6 0,6
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 88,2 80,6 80,1
6 to 10 years old 100,0 99,4 98,2
11 to 14 years old 100,0 100,0 98,3
15 to 17 years old 98,0 99,0 98,1
18 to 24 years old 46,4 48,2 52,6
25 to 29 years old 4,0 2,5 2,1
30 years old and over 0,8 0,4 0,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 3 323 1 631 1 692
Proportion of graduates in percentage
No diploma or primary education certificate 19,9 17,2 22,5
BEPC brevet des collèges or DNB 5,9 4,8 7,0
CAP, BEP or equivalent 26,9 31,6 22,5
Baccalauréat, brevet professionnel or equivalent 18,6 18,4 18,7
2 years at university 14,7 14,4 15,1
3 to 4 years at university 8,5 7,2 9,7
5 years and over at university 5,5 6,5 4,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 29,9 19,9
BEPC brevet des collèges or DNB 7,1 5,9
CAP, BEP or equivalent 26,8 26,9
Baccalauréat, brevet professionnel or equivalent 16,2 18,6
2 years and over at university 19,9 28,7
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

Labor force, employment and unemployment within the sense of the census in 2019

Municipality of Lestrem (62502)

EMP T1 - Population aged 15 to 64 by economic activity status

EMP T1 - Population aged 15 to 64 by economic activity status
2008 2013 2019
Altogether 2 747 2 901 2 994
Labor force in % 71,4 73,2 74,8
 including people in work in % 66,2 67,3 68,2
 including unemployed workers in % 5,2 5,9 6,6
Economically inactive people in % 28,6 26,8 25,2
 including pupils, students or interns in % 10,8 9,5 10,8
 including retirees in % 8,7 10,4 8,3
 including other economically inactive people in % 9,1 6,9 6,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 2 994 2 239 74,8 2 041 68,2
 15 to 24 years old 542 211 38,9 149 27,6
 25 to 54 years old 1 858 1 752 94,3 1 633 87,9
 55 to 64 years old 595 276 46,5 258 43,5
Male 1 521 1 174 77,2 1 086 71,4
 15 to 24 years old 290 116 39,9 80 27,7
 25 to 54 years old 934 908 97,2 865 92,6
 55 to 64 years old 297 151 50,9 141 47,3
Female 1 473 1 065 72,3 955 64,9
 15 to 24 years old 252 95 37,8 69 27,4
 25 to 54 years old 924 845 91,4 769 83,2
 55 to 64 years old 297 125 42,1 118 39,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 68,2
Unemployed workers 6,6
Retirees 8,3
Pupils, students or interns 10,8
Other economically inactive people 6,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 1 989 1 850 2 129 1 947 2 214 2 004
including
 Farmer operators 38 38 32 32 5 5
 Handicrafters, traders and business leaders 118 118 122 118 157 157
 Managers and higher intellectual professions 224 211 247 231 266 256
 Middle-level occupations 523 515 629 588 626 610
 Services employee 539 489 543 482 574 512
 Blue-collar workers 538 479 536 495 554 465
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 143 172 198
Unemployment rate in % 7,3 8,1 8,9
Unemployment of the 15-24 aged 25,3 23,7 29,2
Unemployment of the 25-54 aged 5,3 6,7 6,8
Unemployment of the 55-64 aged 3,5 5,3 6,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 17,7
BEPC brevet des collèges or DNB 10,5
CAP, BEP or equivalent 10,1
Baccalauréat, brevet professionnel or equivalent 11,6
2 years at university 4,8
3 to 4 years at university 5,3
5 years and over at university 3,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 4 089 3 993 4 040
People in work living in the area 1 827 1 957 2 059
Employment concentration indicator 223,8 204,1 196,2
Activity rate of 15 years old and over in % 60,1 61,9 60,5
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 4 089 100,0 3 993 100,0 4 040 100,0
Employee 3 896 95,3 3 777 94,6 3 825 94,7
 including women 1 116 27,3 1 110 27,8 1 164 28,8
 including part-time workers 471 11,5 420 10,5 467 11,5
Non-employee 194 4,7 216 5,4 214 5,3
 including women 61 1,5 84 2,1 79 2,0
 including part-time workers 11 0,3 34 0,9 23 0,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 3 789 100,0
Farmer operators 15 0,4
Handicrafters, traders, business leaders 120 3,2
Managers and higher intellectual professions 661 17,4
Middle-level occupations 1 236 32,6
Services employee 357 9,4
Blue-collar workers 1 399 36,9
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 1,0 1,1 0,4
Handicrafters, traders, business leaders 3,4 3,1 3,2
Managers and higher intellectual professions 10,6 11,3 17,4
Middle-level occupations 29,1 32,3 32,6
Services employee 13,8 12,0 9,4
Blue-collar workers 42,1 40,2 36,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 3 928 100,0 3 927 100,0 3 789 100,0 30,6 95,2
Agriculture 46 1,2 50 1,3 31 0,8 0,0 67,1
Industry 2 939 74,8 3 009 76,6 2 707 71,5 25,8 99,3
Construction 139 3,5 94 2,4 107 2,8 0,0 90,3
Wholesale and retail trade/transports/accommodations and food service activities 513 13,1 502 12,8 625 16,5 39,9 81,5
Public administration/education/healthcare/social work 292 7,4 272 6,9 318 8,4 66,3 91,0
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 0,0 0,0
Industry 26,0 0,0
Construction 0,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 40,6 36,4
Public administration, education, healthcare, social work 67,6 53,5
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

Characteristics of employment in the sense of the census in 2019

Municipality of Lestrem (62502)

ACT T1 - Population aged 15 years or over having a job by status in 2019

ACT T1 - Population aged 15 years or over having a job by status in 2019
Number % of which% part-time of which% women
Altogether 2 059 100,0 17,7 46,7
Employees 1 815 88,1 18,7 47,2
Non-employees 244 11,9 10,7 42,7
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 1 098 100 961 100
Employees 958 87,3 856 89,1
 Tenured personnel and open-ended employment contracts 864 78,6 745 77,6
 Fixed-term employment contracts 57 5,2 79 8,3
 Temporary employment 7 0,7 7 0,8
 Assisted jobs 1 0,1 10 1,1
 Apprentice ship contract - Traineeship 29 2,7 14 1,4
Non-employees 140 12,7 104 10,9
 Independents 66 6,0 69 7,2
 Employers 73 6,6 32 3,4
 Caregivers 1 0,1 3 0,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 950 4,4 852 33,9
15 to 24 years old 75 25,0 66 31,7
25 to 54 years old 759 2,5 686 32,5
55 to 64 years old 116 3,6 100 45,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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
2008 2013 2019
Male 4,6 4,1 4,8
Female 40,1 35,3 34,3
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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
2008 % 2013 % 2019 %
Altogether 1 827 100 1 957 100 2 059 100
working :
in their residential zone 591 32,3 581 29,7 565 27,4
in another zone 1 237 67,7 1 376 70,3 1 494 72,6
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 3,6
Walking 1,3
Bicycle 1,4
Motorized two-wheeled vehicles 0,7
Car or truck 91,2
Public transports 1,9
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

Births and Deaths of people with usual residence in the area, 2014-2021

Municipality of Lestrem (62502)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021
Domiciled deaths 37 46 38 35 43 35 46 41
Domiciled births 54 47 39 41 37 56 46 56
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2022.

Household income and poverty in 2020

Municipality of Lestrem (62502)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 1 931
Number of people in tax households 4 957
Median disposable income (per consumption unit in euros) 23 980
Share of actually taxed tax households (in %) 52
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 8
Less than 30 years old
30 to 39 years old
40 to 49 years old
50 to 59 years old
60 to 74 years old
75 and over
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 8
Homeowner
Tenant 21
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 77,6
including wages 70,8
including unemployment pensions 2,2
including self-employed income 4,6
Retirement pension or annuity 24,0
Capital income (real estate, financial, others) 8,2
Social benefits 4,8
including child benefit 2,4
including income support 1,6
including housing benefit 0,8
Tax –14,6
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 23 980
Inter-decile ratio 2,7
1st decile (in euros) 14 390
9th decile (in euros) 38 150
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

Municipality of Lestrem (62502)

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 17,1 13,9 18,9
Managerial staff* 29,3 21,9 31,6
Middle-level occupations 17,2 15,8 18,4
Services employee 11,8 11,1 13,6
Blue-collar workers 14,0 11,8 14,3
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –26,6
Managerial staff* –30,8
Middle-level occupations –13,9
Services employee –18,5
Blue-collar workers –17,4
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL T1 - Average net hourly wage (in euros) by age in 2020

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 11,0 10,4 11,4
26 to 50 years old 16,5 14,4 17,8
50 years old or over 21,3 14,2 24,5
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –8,6
26 to 50 years old –19,0
50 years old and over –42,0
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

Characteristics of establishments at the end of 2020

Municipality of Lestrem (62502)

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 or more employees
Altogether 106 100,0 3 83 20
Agriculture, forestry and fishing* 7 6,6 0 6 1
Industrial economy* 15 14,2 1 9 5
Building industry* 12 11,3 1 9 2
Trade, transport, various services* 55 51,9 1 49 5
including trade and car repair 14 13,2 0 12 2
Administration publique, enseignement, santé, action sociale 17 16,0 0 10 7
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020
Total % 1 to 9 employee(s) 10 or more employees
Altogether 3 544 100,0 245 3 299
Agriculture, forestry and fishing 21 0,6 10 11
Industrial economy 2 918 82,3 34 2 884
Building industry 57 1,6 32 25
Trade, transport, various services 274 7,7 134 140
including trade and car repair 80 2,3 45 35
Administration publique, enseignement, santé, action sociale 274 7,7 35 239
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 16,0
Trade, transport, various services* 51,9
Building industry* 11,3
Industrial economy* 14,2
Agriculture, forestry and fishing* 6,6
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2P - Distribution of active employer establishments by size at the end of 2020

RES G2P - Distribution of active employer establishments by size at the end of 2020
%
10 or more employees 18,9
1 to 10 employee(s) 78,3
0 employee 2,8
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2P - Distribution of active employer establishments by size at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 106 100,0 3 544 100,0
Productive sphere* 44 41,5 3 028 85,4
of which public domain* 0 0,0 0 0,0
Presential sphere 62 58,5 516 14,6
of which public domain* 5 4,7 145 4,1
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 328 100,0
Employers of childminders 130 39,6
Employers of other employees 198 60,4
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

Municipality of Lestrem (62502)

DEN T1 - Business set-ups by sector of activity in 2021

DEN T1 - Business set-ups by sector of activity in 2021
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 38 100,0 29 76,3
Industry 4 10,5 4 100,0
Construction 7 18,4 5 71,4
Wholesale and retail trade/transports/accommodations and food service activities 12 31,6 8 66,7
Information/communication 1 2,6 1 100,0
Finance and insurance activities 0 0,0 0
Real estate activities 1 2,6 1 100,0
Professional/scientific/technical activites/administrative and support service activities 5 13,2 3 60,0
Public administration/education/healthcare/social work 5 13,2 5 100,0
Other service activities 3 7,9 2 66,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 27 30 26 24 20 21 26 30 46 38
Sole proprietorship 19 21 15 15 14 15 18 24 32 29
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T3 - Number of legal units by economic sector on the 31st of December 2020

DEN T3 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 277 100,0
Industry 31 11,2
Construction 37 13,4
Wholesale and retail trade/transports/accommodations and food service activities 75 27,1
Information/communication 4 1,4
Finance and insurance activities 8 2,9
Real estate activities 14 5,1
Professional/scientific/technical activites/administrative and support service activities 45 16,2
Public administration/education/human health/social work 29 10,5
Other service activities 34 12,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T4 - Business set-ups by economic sectors in 2021

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 39 100,0
Industry 4 10,3
Construction 7 17,9
Wholesale and retail trade/transports/accommodations and food service activities 11 28,2
Information/communication 1 2,6
Finance and insurance activities 0 0,0
Real estate activities 1 2,6
Professional/scientific/technical activites/administrative and support service activities 5 12,8
Public administration/education/healthcare/social work 6 15,4
Other service activities by the number of business creations including free lancers 4 10,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 29 33 29 29 21 24 30 32 54 39
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T5 - Number of legal units by economic sector on the 31st of December 2020

DEN T5 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 301 100,0
Industry 34 11,3
Construction 37 12,3
Wholesale and retail trade/transports/accommodations and food service activities 80 26,6
Information/communication 4 1,3
Finance and insurance activities 12 4,0
Real estate activities 16 5,3
Professional/scientific/technical activites/administrative and support service activities 48 15,9
Public administration/education/human health/social work 36 12,0
Other service activities 34 11,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Municipality of Lestrem (62502)

TOU T1 - Number and capacity of hotels on the 1st of January 2023

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
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 01/01/2022.

TOU T2 - Number and capacity of campsites on the 1st of January 2023

TOU T2 - Number and capacity of campsites on the 1st of January 2023
Campsites Pitch
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 01/01/2022.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2022.

Définitions

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

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

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

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

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

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

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

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

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

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

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

All employees databases

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

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

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

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units and the creation of businesses and establishments of all non-agricultural market activities. This field includes financial activities.

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

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

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

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.

Géographie

Population censuses 2008, 2013, 2019: dissemination in the municipalities of France outside Mayotte in geography on 01/01/2022;

Vital statistics: distribution to all municipalities in France in geography as of 01/01/2022;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2022;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2022;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2022;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2022

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Statistical confidentiality of the Bases All employees

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

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

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

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