données locales

Paru le : 21/02/2023

Full set of local data Municipality of Longuyon (54322)

Detailed figures
Paru le :Paru le21/02/2023
- February 2023

Growth and structure of the population in 2019

Municipality of Longuyon (54322)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 5 665 100,0 5 459 100,0 5 218 100,0
0 to 14 years old 917 16,2 888 16,3 820 15,7
15 to 29 years old 940 16,6 853 15,6 785 15,0
30 to 44 years old 1 004 17,7 907 16,6 837 16,0
45 to 59 years old 1 170 20,6 1 069 19,6 1 046 20,0
60 to 74 years old 917 16,2 1 007 18,4 1 033 19,8
75 and over 717 12,7 736 13,5 697 13,4
  • 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 16,2 16,3 15,7
15 to 29 years old 16,6 15,6 15,0
30 to 44 years old 17,7 16,6 16,0
45 to 59 years old 20,6 19,6 20,0
60 to 74 years old 16,2 18,4 19,8
75 and over 12,7 13,5 13,4
  • 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 6 460 7 404 6 993 6 064 5 876 5 665 5 459 5 218
Average density (inhab / km²) 217,5 249,3 235,5 204,2 197,8 190,7 183,8 175,7
  • (*) 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 % 2,0 –0,8 –1,8 –0,3 –0,4 –0,7 –0,7
due to the natural balance in % 1,0 0,6 0,1 –0,0 –0,2 –0,1 –0,6
due to the apparent balance of inflows and outflows in % 1,0 –1,4 –1,9 –0,3 –0,2 –0,6 –0,1
Natality rate (‰) 19,8 15,2 12,4 11,9 11,5 11,5 8,7
Mortality rate (‰) 9,6 9,4 11,0 12,1 13,5 12,8 14,7
  • 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 2 496 100,0 2 722 100,0
0 to 14 years old 417 16,7 403 14,8
15 to 29 years old 416 16,7 369 13,6
30 to 44 years old 412 16,5 425 15,6
45 to 59 years old 512 20,5 534 19,6
60 to 74 years old 488 19,6 545 20,0
75 to 89 years old 227 9,1 373 13,7
90 years and over 24 1,0 73 2,7
0 to 19 years old 575 23,0 513 18,8
20 to 64 years old 1 352 54,2 1 413 51,9
65 and over 569 22,8 796 29,2
  • 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: 5 415 100,0 5 164 100,0
In the same house 4 801 88,6 4 585 88,8
In another house in the same town 279 5,2 215 4,2
In another town 336 6,2 364 7,0
  • 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 45,1 54,9
15 to 24 years old 35,0 65,0
25 to 54 years old 35,4 64,6
55 years old and over 32,6 67,4
  • 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 4 755 100,0 4 619 100,0 4 345 100,0
Farmer operators 20 0,4 20 0,4 30 0,7
Craftsmen, traders, business leaders 133 2,8 96 2,1 90 2,1
Managers and higher intellectual professions 169 3,6 69 1,5 115 2,6
Middle-level occupations 379 8,0 439 9,5 375 8,6
Services employee 792 16,6 817 17,7 745 17,1
Blue-collar workers 867 18,2 831 18,0 750 17,3
Retirees 1 395 29,3 1 440 31,2 1 275 29,3
Other people with no professional activity 1 000 21,0 907 19,6 965 22,2
  • 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 1 995 2 350 100,0 100,0 100,0
Farmer operators 30 0 0,0 1,4 0,3
Craftsmen, traders, business leaders 55 35 0,0 3,6 1,3
Managers and higher intellectual professions 55 60 0,0 6,1 0,3
Middle-level occupations 180 195 8,9 14,8 3,0
Services employee 210 535 18,8 29,1 6,0
Blue-collar workers 625 125 22,3 31,0 3,5
Retirees 580 695 0,0 0,6 63,4
Other people without professional activity 260 705 50,0 13,4 22,3
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Longuyon (54322)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 2 604 100,0 2 507 100,0 2 485 100,0 5 581 5 304 5 090
One-person households (male and female) 924 35,5 923 36,8 970 39,0 924 923 970
 Single Male 339 13,0 378 15,1 340 13,7 339 378 340
 Single Female 585 22,5 546 21,8 630 25,4 585 546 630
Other households without families 56 2,2 72 2,9 30 1,2 145 190 60
Family households: 1 623 62,4 1 512 60,3 1 485 59,8 4 512 4 190 4 060
 Couple with no children 770 29,6 730 29,1 700 28,2 1 566 1 505 1 475
 Couple with children 603 23,2 501 20,0 490 19,7 2 301 1 920 1 845
 Single parent 250 9,6 281 11,2 295 11,9 645 765 740
  • 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 3,23 3,10 2,80 2,53 2,35 2,14 2,13 2,06
  • (*) 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 0,0 0,3 1,1
20 to 24 years old 13,1 6,6 10,7
25 to 39 years old 11,1 12,6 14,5
40 to 54 years old 13,8 13,8 14,1
55 to 64 years old 21,2 23,6 25,3
65 to 79 years old 32,4 28,7 31,3
80 and over 54,1 55,2 55,6
  • 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 3,0 3,3 1,9
20 to 24 years old 40,1 35,3 29,9
25 to 39 years old 68,9 67,1 65,5
40 to 54 years old 71,9 69,3 69,1
55 to 64 years old 70,9 68,2 68,6
65 to 79 years old 62,7 64,3 62,9
80 and over 33,4 34,6 34,5
  • 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 43,0
Civil partnership 3,9
In cohabitation 10,5
Widowed 11,4
Divorced 7,8
Single 23,5
  • 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 2 485 100,0 5 090 100,0
Farmer operators 15 0,6 30 0,6
Craftsmen, traders, business leaders 55 2,2 145 2,8
Managers and higher intellectual professions 65 2,6 120 2,4
Middle-level occupations 205 8,2 465 9,1
Services employee 465 18,7 1 175 23,1
Blue-collar workers 550 22,1 1 450 28,5
Retirees 825 33,2 1 230 24,2
Other people with no professional activity 305 12,3 475 9,3
  • 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 2,2
Managers and higher intellectual professions 2,6
Middle-level occupations 8,2
Services employee 18,7
Blue-collar workers 22,1
Retirees 33,2
Unemployed persons 12,3
  • 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 1 632 100,0 1 522 100,0 1 500 100,0
Couple with children 603 37,0 501 32,9 505 33,7
Single parent 254 15,6 286 18,8 295 19,7
Male single parent 32 2,0 61 4,0 45 3,0
Female single parent 222 13,6 226 14,8 250 16,7
Couple with no children 774 47,5 735 48,3 700 46,7
  • 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 1 632 100,0 1 522 100,0 1 500 100,0
No children 875 53,6 841 55,3 790 52,7
1 child 329 20,1 295 19,3 340 22,7
2 children 307 18,8 260 17,1 260 17,3
3 children 97 5,9 96 6,3 85 5,7
4 children and over 24 1,5 30 2,0 25 1,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Longuyon (54322)

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 2 562 2 536 2 696 2 668 2 729 2 901 2 950 2 982
Main residences 1 977 2 356 2 472 2 369 2 474 2 607 2 516 2 485
Second homes 15 29 47 47 30 11 34 45
Vacant dwellings 570 151 177 252 225 284 400 452
  • (*) 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 2 901 100,0 2 950 100,0 2 982 100,0
Main residences 2 607 89,8 2 516 85,3 2 485 83,3
Second homes 11 0,4 34 1,2 45 1,5
Vacant dwellings 284 9,8 400 13,6 452 15,2
Houses 1 488 51,3 1 519 51,5 1 550 52,0
Flats 1 398 48,2 1 414 47,9 1 412 47,4
  • 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 2 607 100,0 2 516 100,0 2 485 100,0
1 room 129 5,0 99 3,9 110 4,4
2 rooms 177 6,8 209 8,3 180 7,2
3 rooms 522 20,0 455 18,1 467 18,8
4 rooms 768 29,5 770 30,6 767 30,9
5 rooms and over 1 009 38,7 983 39,1 961 38,7
  • 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 4,1 4,1 4,2
Houses 4,9 4,8 4,9
Flats 3,3 3,3 3,3
  • 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 2,5
Non-over-occupied 97,5
  • 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 2 463 100,0
before 1919 207 8,4
from 1919 to 1945 409 16,6
from 1946 to 1970 985 40,0
from 1971 to 1990 631 25,6
from 1991 to 2005 143 5,8
from 2006 to 2015 88 3,6
  • 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 122 84
from 1919 to 1945 241 166
from 1946 to 1970 489 491
from 1971 to 1990 341 289
from 1991 to 2005 99 44
from 2006 to 2015 71 17
  • 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 2 485 100,0 5 124 4,2 2,0
Less than 2 years 281 11,3 580 3,6 1,8
From 2 to 4 years 438 17,6 904 3,6 1,8
From 5 to 9 years 417 16,8 965 3,9 1,7
10 years and over 1 349 54,3 2 675 4,5 2,3
  • 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 11,3
From 2 to 4 years 17,6
From 5 to 9 years 16,8
From 10 to 19 years 19,2
From 20 to 29 years 12,8
30 years and over 22,4
  • 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 2 607 100,0 2 516 100,0 2 485 100,0 5 124 17,4
Homeowner 1 524 58,5 1 523 60,5 1 463 58,9 3 221 23,9
Tenant 1 042 40,0 952 37,9 992 39,9 1 839 8,1
(including social sector housing) 223 8,5 204 8,1 128 5,2 253 10,0
Housed for free 41 1,6 40 1,6 30 1,2 64 11,3
  • 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 2 607 100,0 2 516 100,0 2 485 100,0
Bathroom including a shower or a bath 2 520 96,7 2 360 93,8 2 346 94,4
Collective central heating 574 22,0 512 20,4 487 19,6
Individual central heating 1 648 63,2 1 519 60,4 1 514 60,9
Individual electric heating 260 10,0 271 10,8 313 12,6
  • 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 2 607 100,0 2 516 100,0 2 485 100,0
At least one parking spot 1 352 51,9 1 287 51,2 1 289 51,9
At least one car 2 028 77,8 1 977 78,6 2 004 80,6
1 car 1 258 48,3 1 194 47,5 1 187 47,8
2 cars and over 769 29,5 782 31,1 817 32,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Longuyon (54322)

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 181 150 82,9 83,9 81,9
6 to 10 years old 295 290 98,3 99,4 97,1
11 to 14 years old 248 245 98,8 98,4 99,2
15 to 17 years old 190 175 92,1 91,3 93,3
18 to 24 years old 342 85 24,9 25,4 24,2
25 to 29 years old 253 9 3,6 2,6 4,4
30 years old and over 3 613 15 0,4 0,5 0,4
  • 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 78,9 84,3 82,9
6 to 10 years old 100,0 98,6 98,3
11 to 14 years old 99,2 99,6 98,8
15 to 17 years old 96,9 93,2 92,1
18 to 24 years old 31,1 30,6 24,9
25 to 29 years old 2,3 3,6 3,6
30 years old and over 0,4 0,3 0,4
  • 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 4 114 1 916 2 198
Proportion of graduates in percentage
No diploma or primary education certificate 29,5 23,7 34,6
BEPC brevet des collèges or DNB 6,2 4,2 8,0
CAP, BEP or equivalent 33,6 40,1 27,9
Baccalauréat, brevet professionnel or equivalent 15,6 17,6 13,7
2 years at university 7,6 7,0 8,0
3 to 4 years at university 5,3 4,9 5,6
5 years and over at university 2,3 2,4 2,2
  • 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 40,2 29,5
BEPC brevet des collèges or DNB 6,9 6,2
CAP, BEP or equivalent 28,6 33,6
Baccalauréat, brevet professionnel or equivalent 13,0 15,6
2 years and over at university 11,2 15,1
  • 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 Longuyon (54322)

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 3 479 3 224 3 033
Labor force in % 68,1 70,1 71,2
 including people in work in % 57,9 57,3 59,5
 including unemployed workers in % 10,2 12,8 11,7
Economically inactive people in % 31,9 29,9 28,8
 including pupils, students or interns in % 7,6 8,2 7,4
 including retirees in % 10,1 9,7 7,9
 including other economically inactive people in % 14,2 11,9 13,5
  • 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 3 033 2 160 71,2 1 804 59,5
 15 to 24 years old 532 266 50,0 185 34,8
 25 to 54 years old 1 779 1 550 87,1 1 318 74,1
 55 to 64 years old 722 344 47,6 301 41,7
Male 1 510 1 138 75,4 975 64,6
 15 to 24 years old 300 156 52,0 113 37,7
 25 to 54 years old 872 818 93,8 719 82,5
 55 to 64 years old 338 164 48,5 143 42,3
Female 1 523 1 022 67,1 829 54,4
 15 to 24 years old 232 110 47,4 72 31,0
 25 to 54 years old 907 732 80,7 599 66,0
 55 to 64 years old 384 180 46,9 158 41,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 59,5
Unemployed workers 11,7
Retirees 7,9
Pupils, students or interns 7,4
Other economically inactive people 13,5
  • 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 2 361 2 074 2 248 1 854 2 115 1 770
including
 Farmer operators 20 20 20 20 30 30
 Handicrafters, traders and business leaders 125 113 96 96 85 80
 Managers and higher intellectual professions 161 161 69 64 115 110
 Middle-level occupations 375 355 429 394 370 340
 Services employee 792 683 793 668 730 615
 Blue-collar workers 867 742 816 612 745 595
  • 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 354 414 356
Unemployment rate in % 14,9 18,3 16,5
Unemployment of the 15-24 aged 26,9 36,8 30,5
Unemployment of the 25-54 aged 13,5 16,2 15,0
Unemployment of the 55-64 aged 9,8 13,7 12,5
  • 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 29,8
BEPC brevet des collèges or DNB 20,8
CAP, BEP or equivalent 17,1
Baccalauréat, brevet professionnel or equivalent 14,5
2 years at university 6,8
3 to 4 years at university 8,7
5 years and over at university 12,8
  • 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 1 521 1 381 1 102
People in work living in the area 2 031 1 873 1 836
Employment concentration indicator 74,9 73,8 60,0
Activity rate of 15 years old and over in % 50,2 50,0 49,9
  • 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 1 521 100,0 1 381 100,0 1 102 100,0
Employee 1 312 86,3 1 184 85,7 933 84,7
 including women 686 45,1 693 50,1 576 52,2
 including part-time workers 299 19,7 338 24,5 258 23,4
Non-employee 208 13,7 198 14,3 168 15,3
 including women 85 5,6 83 6,0 63 5,7
 including part-time workers 15 1,0 18 1,3 22 2,0
  • 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 1 082 100,0
Farmer operators 30 2,8
Handicrafters, traders, business leaders 91 8,4
Managers and higher intellectual professions 91 8,4
Middle-level occupations 229 21,2
Services employee 410 37,9
Blue-collar workers 231 21,4
  • 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 1,8 1,8 2,8
Handicrafters, traders, business leaders 8,5 8,3 8,4
Managers and higher intellectual professions 9,8 7,3 8,4
Middle-level occupations 16,6 21,5 21,2
Services employee 34,5 40,4 37,9
Blue-collar workers 28,7 20,7 21,4
  • 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 1 594 100,0 1 318 100,0 1 082 100,0 52,5 84,1
Agriculture 32 2,0 39 2,9 50 4,6 0,0 40,0
Industry 333 20,9 198 15,0 66 6,1 22,5 92,5
Construction 121 7,6 67 5,1 55 5,1 9,1 81,8
Wholesale and retail trade/transports/accommodations and food service activities 623 39,1 558 42,3 500 46,2 53,8 80,9
Public administration/education/healthcare/social work 484 30,4 457 34,7 410 37,9 68,1 92,4
  • 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 24,3 0,0
Construction 11,1 0,0
Wholesale and retail trade, transports, accommodations and food service activities 57,7 37,2
Public administration, education, healthcare, social work 67,0 81,0
  • 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 Longuyon (54322)

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 1 836 100,0 20,9 45,9
Employees 1 698 92,5 21,6 46,9
Non-employees 138 7,5 11,6 33,3
  • 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 993 100 843 100
Employees 901 90,7 797 94,5
 Tenured personnel and open-ended employment contracts 772 77,7 696 82,6
 Fixed-term employment contracts 49 4,9 76 9,0
 Temporary employment 57 5,7 15 1,8
 Assisted jobs 5 0,5 4 0,5
 Apprentice ship contract - Traineeship 18 1,8 6 0,7
Non-employees 92 9,3 46 5,5
 Independents 51 5,1 31 3,7
 Employers 41 4,1 15 1,8
 Caregivers 0 0,0 0 0,0
  • 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 886 6,3 787 38,1
15 to 24 years old 112 9,8 68 29,4
25 to 54 years old 654 4,6 576 39,1
55 to 64 years old 120 12,5 143 38,5
  • 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 5,0 6,3 6,8
Female 36,5 42,3 38,4
  • 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 2 030 100 1 873 100 1 836 100
working :
in their residential zone 706 34,8 611 32,6 460 25,1
in another zone 1 324 65,2 1 261 67,4 1 376 74,9
  • 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 3,1
Walking 6,2
Bicycle 0,3
Motorized two-wheeled vehicles 0,4
Car or truck 86,2
Public transports 3,9
  • 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 Longuyon (54322)

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 87 78 85 90 61 64 76 66
Domiciled births 49 44 45 42 51 46 38 52
  • 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 Longuyon (54322)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 2 376
Number of people in tax households 4 859
Median disposable income (per consumption unit in euros) 20 310
Share of actually taxed tax households (in %) 31
  • 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 21
Less than 30 years old
30 to 39 years old 27
40 to 49 years old 24
50 to 59 years old 24
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 21
Homeowner 11
Tenant 40
  • 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 59,1
including wages 53,0
including unemployment pensions 2,4
including self-employed income 3,7
Retirement pension or annuity 33,8
Capital income (real estate, financial, others) 12,1
Social benefits 6,2
including child benefit 1,3
including income support 3,3
including housing benefit 1,6
Tax –11,2
  • 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) 20 310
Inter-decile ratio 3,6
1st decile (in euros) 10 050
9th decile (in euros) 36 420
  • 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 Longuyon (54322)

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 12,1 11,5 12,7
Managerial staff* 21,1 22,0 20,3
Middle-level occupations 14,1 13,3 14,9
Services employee 10,5 10,4 10,6
Blue-collar workers 11,6 9,8 12,1
  • * 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 –9,5
Managerial staff* 8,6
Middle-level occupations –10,4
Services employee –1,7
Blue-collar workers –18,7
  • * 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 10,1 9,8 10,2
26 to 50 years old 12,1 11,5 12,7
50 years old or over 13,5 12,4 14,6
  • 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 –3,7
26 to 50 years old –9,3
50 years old and over –15,2
  • 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.

Business and establishment set-ups in 2021

Municipality of Longuyon (54322)

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 37 100,0 27 73,0
Industry 3 8,1 3 100,0
Construction 4 10,8 4 100,0
Wholesale and retail trade/transports/accommodations and food service activities 10 27,0 6 60,0
Information/communication 2 5,4 1 50,0
Finance and insurance activities 1 2,7 0 0,0
Real estate activities 2 5,4 0 0,0
Professional/scientific/technical activites/administrative and support service activities 6 16,2 4 66,7
Public administration/education/healthcare/social work 5 13,5 5 100,0
Other service activities 4 10,8 4 100,0
  • 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 25 22 27 22 16 17 22 31 28 37
Sole proprietorship 24 19 23 20 13 11 18 25 24 27
  • 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 256 100,0
Industry 16 6,3
Construction 21 8,2
Wholesale and retail trade/transports/accommodations and food service activities 94 36,7
Information/communication 1 0,4
Finance and insurance activities 10 3,9
Real estate activities 13 5,1
Professional/scientific/technical activites/administrative and support service activities 22 8,6
Public administration/education/human health/social work 50 19,5
Other service activities 29 11,3
  • 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 43 100,0
Industry 3 7,0
Construction 4 9,3
Wholesale and retail trade/transports/accommodations and food service activities 11 25,6
Information/communication 2 4,7
Finance and insurance activities 2 4,7
Real estate activities 2 4,7
Professional/scientific/technical activites/administrative and support service activities 6 14,0
Public administration/education/healthcare/social work 8 18,6
Other service activities by the number of business creations including free lancers 5 11,6
  • 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 25 28 22 21 24 29 38 31 43
  • 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 295 100,0
Industry 22 7,5
Construction 22 7,5
Wholesale and retail trade/transports/accommodations and food service activities 111 37,6
Information/communication 3 1,0
Finance and insurance activities 15 5,1
Real estate activities 13 4,4
Professional/scientific/technical activites/administrative and support service activities 26 8,8
Public administration/education/human health/social work 53 18,0
Other service activities 30 10,2
  • 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 Longuyon (54322)

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 2 24
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 2 24
  • 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.