données locales

Paru le : 21/02/2023

Full set of local data Municipality of Thionville (57672)

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

Growth and structure of the population in 2019

Municipality of Thionville (57672)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 41 129 100,0 41 627 100,0 40 778 100,0
0 to 14 years old 6 459 15,7 6 790 16,3 6 301 15,5
15 to 29 years old 8 637 21,0 8 277 19,9 7 726 18,9
30 to 44 years old 8 811 21,4 8 607 20,7 8 117 19,9
45 to 59 years old 8 352 20,3 8 652 20,8 8 083 19,8
60 to 74 years old 5 036 12,2 5 486 13,2 6 458 15,8
75 and over 3 833 9,3 3 816 9,2 4 093 10,0
  • 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 15,7 16,3 15,5
15 to 29 years old 21,0 19,9 18,9
30 to 44 years old 21,4 20,7 19,9
45 to 59 years old 20,3 20,8 19,8
60 to 74 years old 12,2 13,2 15,8
75 and over 9,3 9,2 10,0
  • 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 40 254 43 020 40 573 39 712 40 907 41 129 41 627 40 778
Average density (inhab / km²) 807,0 862,5 813,4 796,2 820,1 824,6 834,5 817,5
  • (*) 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 % 1,0 –0,8 –0,3 0,3 0,1 0,2 –0,3
due to the natural balance in % 1,4 1,0 0,8 0,6 0,4 0,2 0,2
due to the apparent balance of inflows and outflows in % –0,4 –1,8 –1,1 –0,3 –0,3 –0,0 –0,5
Natality rate (‰) 21,6 17,4 16,5 14,4 12,7 11,3 10,7
Mortality rate (‰) 7,6 7,8 8,2 8,2 8,9 8,8 9,2
  • 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 19 948 100,0 20 830 100,0
0 to 14 years old 3 334 16,7 2 967 14,2
15 to 29 years old 4 106 20,6 3 619 17,4
30 to 44 years old 4 202 21,1 3 915 18,8
45 to 59 years old 3 959 19,8 4 125 19,8
60 to 74 years old 2 865 14,4 3 593 17,3
75 to 89 years old 1 363 6,8 2 283 11,0
90 years and over 119 0,6 328 1,6
0 to 19 years old 4 388 22,0 3 962 19,0
20 to 64 years old 12 228 61,3 11 984 57,5
65 and over 3 332 16,7 4 883 23,4
  • 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: 41 164 100,0 40 266 100,0
In the same house 35 869 87,1 35 224 87,5
In another house in the same town 2 062 5,0 1 877 4,7
In another town 3 233 7,9 3 165 7,9
  • 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 52,9 47,1
15 to 24 years old 23,0 77,0
25 to 54 years old 38,3 61,7
55 years old and over 35,9 64,1
  • 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 34 668 100,0 34 833 100,0 34 494 100,0
Farmer operators 27 0,1 12 0,0 19 0,1
Craftsmen, traders, business leaders 719 2,1 764 2,2 766 2,2
Managers and higher intellectual professions 3 274 9,4 3 483 10,0 3 653 10,6
Middle-level occupations 5 177 14,9 5 407 15,5 5 071 14,7
Services employee 7 315 21,1 7 145 20,5 6 783 19,7
Blue-collar workers 4 295 12,4 4 122 11,8 3 559 10,3
Retirees 7 876 22,7 8 018 23,0 8 716 25,3
Other people with no professional activity 5 984 17,3 5 881 16,9 5 929 17,2
  • 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 16 607 17 887 100,0 100,0 100,0
Farmer operators 14 6 0,0 0,0 0,1
Craftsmen, traders, business leaders 531 234 0,2 3,4 1,4
Managers and higher intellectual professions 2 260 1 392 3,5 16,8 4,8
Middle-level occupations 2 444 2 627 8,4 23,7 5,1
Services employee 2 293 4 490 19,1 29,1 7,6
Blue-collar workers 2 896 663 9,6 15,3 4,1
Retirees 3 924 4 792 0,0 0,2 66,0
Other people without professional activity 2 245 3 684 59,2 11,3 10,9
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Thionville (57672)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 19 048 100,0 19 145 100,0 19 839 100,0 39 578 39 978 39 292
One-person households (male and female) 7 689 40,4 7 598 39,7 8 709 43,9 7 689 7 598 8 709
 Single Male 3 331 17,5 3 352 17,5 3 912 19,7 3 331 3 352 3 912
 Single Female 4 358 22,9 4 247 22,2 4 797 24,2 4 358 4 247 4 797
Other households without families 395 2,1 416 2,2 338 1,7 890 940 772
Family households: 10 964 57,6 11 131 58,1 10 791 54,4 30 998 31 440 29 811
 Couple with no children 4 652 24,4 4 526 23,6 4 789 24,1 9 443 9 218 9 681
 Couple with children 4 504 23,6 4 526 23,6 3 999 20,2 16 979 16 909 15 142
 Single parent 1 808 9,5 2 078 10,9 2 003 10,1 4 576 5 312 4 988
  • 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 3,40 3,04 2,67 2,47 2,31 2,08 2,09 1,98
  • (*) 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 2,8 1,9 4,6
20 to 24 years old 19,9 14,4 21,5
25 to 39 years old 22,4 20,5 24,1
40 to 54 years old 18,2 19,0 21,9
55 to 64 years old 24,0 26,3 29,6
65 to 79 years old 33,1 32,2 32,5
80 and over 53,9 54,5 51,9
  • 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 1,7 3,4 2,8
20 to 24 years old 28,0 23,4 23,1
25 to 39 years old 61,1 62,2 59,1
40 to 54 years old 67,1 63,9 61,0
55 to 64 years old 69,5 65,6 61,6
65 to 79 years old 60,0 61,3 62,3
80 and over 37,5 33,2 36,7
  • 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 39,2
Civil partnership 4,4
In cohabitation 9,6
Widowed 8,4
Divorced 8,7
Single 29,8
  • 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 19 839 100,0 39 292 100,0
Farmer operators 14 0,1 45 0,1
Craftsmen, traders, business leaders 543 2,7 1 236 3,1
Managers and higher intellectual professions 2 564 12,9 6 016 15,3
Middle-level occupations 3 382 17,0 7 137 18,2
Services employee 4 169 21,0 8 770 22,3
Blue-collar workers 2 529 12,7 6 042 15,4
Retirees 5 245 26,4 7 858 20,0
Other people with no professional activity 1 393 7,0 2 186 5,6
  • 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 0,1
Handicrafters, traders, business leaders 2,7
Managers and higher intellectual professions 12,9
Middle-level occupations 17,0
Services employee 21,0
Blue-collar workers 12,7
Retirees 26,4
Unemployed persons 7,0
  • 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 11 011 100,0 11 169 100,0 10 832 100,0
Couple with children 4 511 41,0 4 538 40,6 4 007 37,0
Single parent 1 831 16,6 2 093 18,7 2 025 18,7
Male single parent 245 2,2 304 2,7 326 3,0
Female single parent 1 587 14,4 1 789 16,0 1 699 15,7
Couple with no children 4 669 42,4 4 538 40,6 4 800 44,3
  • 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 11 011 100,0 11 169 100,0 10 832 100,0
No children 5 358 48,7 5 345 47,9 5 645 52,1
1 child 2 787 25,3 2 911 26,1 2 554 23,6
2 children 2 035 18,5 2 076 18,6 1 868 17,2
3 children 657 6,0 665 6,0 567 5,2
4 children and over 175 1,6 171 1,5 198 1,8
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Thionville (57672)

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 11 901 14 291 15 749 16 821 18 452 20 376 21 123 22 409
Main residences 11 283 13 448 14 770 15 694 17 197 19 047 19 147 19 832
Second homes 39 59 104 206 164 106 149 301
Vacant dwellings 579 784 875 921 1 091 1 223 1 827 2 277
  • (*) 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 20 376 100,0 21 123 100,0 22 409 100,0
Main residences 19 047 93,5 19 147 90,6 19 832 88,5
Second homes 106 0,5 149 0,7 301 1,3
Vacant dwellings 1 223 6,0 1 827 8,6 2 277 10,2
Houses 5 352 26,3 5 610 26,6 6 025 26,9
Flats 14 889 73,1 15 398 72,9 16 262 72,6
  • 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 19 047 100,0 19 147 100,0 19 832 100,0
1 room 1 275 6,7 871 4,6 886 4,5
2 rooms 2 180 11,4 2 347 12,3 3 098 15,6
3 rooms 4 546 23,9 4 905 25,6 5 308 26,8
4 rooms 5 000 26,3 4 958 25,9 4 781 24,1
5 rooms and over 6 046 31,7 6 065 31,7 5 759 29,0
  • 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 3,9 3,9 3,8
Houses 5,4 5,4 5,2
Flats 3,3 3,4 3,2
  • 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 3,0
Non-over-occupied 97,0
  • 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 19 322 100,0
before 1919 1 027 5,3
from 1919 to 1945 1 875 9,7
from 1946 to 1970 6 687 34,6
from 1971 to 1990 5 303 27,4
from 1991 to 2005 2 363 12,2
from 2006 to 2015 2 068 10,7
  • 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 372 655
from 1919 to 1945 646 1 221
from 1946 to 1970 1 385 5 279
from 1971 to 1990 1 918 3 381
from 1991 to 2005 779 1 578
from 2006 to 2015 454 1 613
  • 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 19 832 100,0 39 268 3,8 1,9
Less than 2 years 2 931 14,8 5 497 3,1 1,6
From 2 to 4 years 4 616 23,3 9 515 3,4 1,6
From 5 to 9 years 3 588 18,1 7 914 3,7 1,7
10 years and over 8 696 43,9 16 343 4,3 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 14,8
From 2 to 4 years 23,3
From 5 to 9 years 18,1
From 10 to 19 years 17,2
From 20 to 29 years 10,6
30 years and over 16,1
  • 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 19 047 100,0 19 147 100,0 19 832 100,0 39 268 13,7
Homeowner 8 154 42,8 8 608 45,0 8 799 44,4 18 449 19,7
Tenant 10 338 54,3 10 153 53,0 10 672 53,8 20 136 9,0
(including social sector housing) 4 010 21,1 4 172 21,8 4 027 20,3 8 376 12,5
Housed for free 555 2,9 386 2,0 361 1,8 683 9,8
  • 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 19 047 100,0 19 147 100,0 19 832 100,0
Bathroom including a shower or a bath 18 624 97,8 18 686 97,6 19 243 97,0
Collective central heating 3 795 19,9 3 669 19,2 4 186 21,1
Individual central heating 12 029 63,2 12 256 64,0 12 366 62,4
Individual electric heating 2 862 15,0 2 802 14,6 2 960 14,9
  • 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 19 047 100,0 19 147 100,0 19 832 100,0
At least one parking spot 11 495 60,4 11 750 61,4 12 528 63,2
At least one car 15 437 81,0 15 625 81,6 16 317 82,3
1 car 9 813 51,5 9 806 51,2 10 843 54,7
2 cars and over 5 624 29,5 5 818 30,4 5 474 27,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Thionville (57672)

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 1 595 1 132 71,0 70,4 71,6
6 to 10 years old 2 158 2 104 97,5 97,8 97,3
11 to 14 years old 1 656 1 622 98,0 97,9 98,0
15 to 17 years old 1 345 1 319 98,1 97,6 98,6
18 to 24 years old 3 016 1 235 40,9 37,6 45,0
25 to 29 years old 3 365 156 4,6 5,2 4,1
30 years old and over 26 752 229 0,9 1,0 0,7
  • 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 73,0 71,7 71,0
6 to 10 years old 98,7 98,8 97,5
11 to 14 years old 99,3 98,4 98,0
15 to 17 years old 97,7 97,9 98,1
18 to 24 years old 38,9 38,7 40,9
25 to 29 years old 3,8 4,6 4,6
30 years old and over 0,9 0,9 0,9
  • 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 31 538 15 089 16 449
Proportion of graduates in percentage
No diploma or primary education certificate 19,9 15,5 24,0
BEPC brevet des collèges or DNB 4,3 4,2 4,3
CAP, BEP or equivalent 24,6 26,7 22,7
Baccalauréat, brevet professionnel or equivalent 15,5 16,3 14,9
2 years at university 11,6 12,0 11,1
3 to 4 years at university 10,6 9,7 11,5
5 years and over at university 13,5 15,6 11,5
  • 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 26,4 19,9
BEPC brevet des collèges or DNB 4,6 4,3
CAP, BEP or equivalent 26,2 24,6
Baccalauréat, brevet professionnel or equivalent 15,6 15,5
2 years and over at university 27,3 35,7
  • 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 Thionville (57672)

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 27 684 28 000 26 262
Labor force in % 75,3 75,4 75,9
 including people in work in % 66,8 65,0 66,2
 including unemployed workers in % 8,5 10,4 9,6
Economically inactive people in % 24,7 24,6 24,1
 including pupils, students or interns in % 9,0 8,0 8,4
 including retirees in % 6,6 7,1 5,9
 including other economically inactive people in % 9,1 9,5 9,8
  • 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 26 262 19 920 75,9 17 395 66,2
 15 to 24 years old 4 361 1 942 44,5 1 514 34,7
 25 to 54 years old 17 000 15 197 89,4 13 399 78,8
 55 to 64 years old 4 901 2 780 56,7 2 482 50,6
Male 13 282 10 457 78,7 9 126 68,7
 15 to 24 years old 2 346 1 108 47,2 871 37,1
 25 to 54 years old 8 712 8 071 92,6 7 118 81,7
 55 to 64 years old 2 224 1 278 57,5 1 137 51,1
Female 12 980 9 462 72,9 8 269 63,7
 15 to 24 years old 2 015 835 41,4 643 31,9
 25 to 54 years old 8 288 7 125 86,0 6 281 75,8
 55 to 64 years old 2 677 1 502 56,1 1 345 50,2
  • 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 66,2
Unemployed workers 9,6
Retirees 5,9
Pupils, students or interns 8,4
Other economically inactive people 9,8
  • 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 20 872 18 545 21 067 18 180 19 915 17 404
including
 Farmer operators 24 24 6 3 19 17
 Handicrafters, traders and business leaders 690 654 750 671 743 673
 Managers and higher intellectual professions 3 254 3 154 3 447 3 340 3 559 3 464
 Middle-level occupations 5 133 4 821 5 365 4 926 5 033 4 616
 Services employee 7 292 6 374 7 084 6 039 6 707 5 864
 Blue-collar workers 4 277 3 517 4 086 3 201 3 520 2 771
  • 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 2 342 2 907 2 524
Unemployment rate in % 11,2 13,8 12,7
Unemployment of the 15-24 aged 19,8 27,4 22,0
Unemployment of the 25-54 aged 10,3 12,2 11,8
Unemployment of the 55-64 aged 7,3 10,9 10,7
  • 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 28,2
BEPC brevet des collèges or DNB 21,0
CAP, BEP or equivalent 16,8
Baccalauréat, brevet professionnel or equivalent 13,1
2 years at university 9,7
3 to 4 years at university 7,6
5 years and over at university 5,6
  • 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 22 408 22 018 20 157
People in work living in the area 18 631 18 389 17 649
Employment concentration indicator 120,3 119,7 114,2
Activity rate of 15 years old and over in % 60,5 61,1 58,5
  • 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 22 408 100,0 22 018 100,0 20 157 100,0
Employee 20 775 92,7 20 401 92,7 18 411 91,3
 including women 11 629 51,9 11 760 53,4 10 819 53,7
 including part-time workers 4 770 21,3 4 886 22,2 4 001 19,9
Non-employee 1 632 7,3 1 617 7,3 1 746 8,7
 including women 548 2,4 623 2,8 720 3,6
 including part-time workers 180 0,8 235 1,1 278 1,4
  • 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 19 927 100,0
Farmer operators 11 0,1
Handicrafters, traders, business leaders 899 4,5
Managers and higher intellectual professions 2 550 12,8
Middle-level occupations 5 577 28,0
Services employee 7 929 39,8
Blue-collar workers 2 960 14,9
  • 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 0,2 0,1 0,1
Handicrafters, traders, business leaders 3,9 4,0 4,5
Managers and higher intellectual professions 12,0 11,7 12,8
Middle-level occupations 26,8 27,1 28,0
Services employee 39,4 40,4 39,8
Blue-collar workers 17,7 16,6 14,9
  • 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 22 165 100,0 21 563 100,0 19 927 100,0 57,2 92,1
Agriculture 59 0,3 70 0,3 29 0,1 54,8 34,5
Industry 1 647 7,4 1 409 6,5 1 208 6,1 21,7 94,8
Construction 831 3,7 744 3,5 675 3,4 11,5 80,8
Wholesale and retail trade/transports/accommodations and food service activities 9 637 43,5 9 145 42,4 8 591 43,1 53,2 88,8
Public administration/education/healthcare/social work 9 991 45,1 10 195 47,3 9 424 47,3 68,6 95,7
  • 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 27,6 69,2
Industry 21,7 22,4
Construction 13,2 4,5
Wholesale and retail trade, transports, accommodations and food service activities 55,4 35,6
Public administration, education, healthcare, social work 69,3 53,2
  • 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 Thionville (57672)

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 17 649 100,0 16,0 47,5
Employees 16 123 91,4 16,2 48,2
Non-employees 1 525 8,6 13,4 40,2
  • 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 9 258 100 8 390 100
Employees 8 346 90,1 7 778 92,7
 Tenured personnel and open-ended employment contracts 7 349 79,4 6 879 82,0
 Fixed-term employment contracts 595 6,4 648 7,7
 Temporary employment 221 2,4 81 1,0
 Assisted jobs 40 0,4 54 0,6
 Apprentice ship contract - Traineeship 140 1,5 115 1,4
Non-employees 912 9,9 613 7,3
 Independents 422 4,6 362 4,3
 Employers 480 5,2 237 2,8
 Caregivers 10 0,1 13 0,2
  • 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 8 259 6,0 7 684 26,7
15 to 24 years old 850 15,2 623 26,1
25 to 54 years old 6 489 5,0 5 851 25,9
55 to 64 years old 919 5,1 1 210 31,0
  • 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 3,8 6,4 6,3
Female 30,3 32,4 26,9
  • 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 18 623 100 18 380 100 17 649 100
working :
in their residential zone 7 047 37,8 6 421 34,9 5 488 31,1
in another zone 11 576 62,2 11 959 65,1 12 160 68,9
  • 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 2,4
Walking 8,0
Bicycle 1,3
Motorized two-wheeled vehicles 0,5
Car or truck 69,8
Public transports 18,1
  • 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 Thionville (57672)

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 377 401 363 369 406 421 462 452
Domiciled births 436 419 442 447 436 420 402 414
  • 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 Thionville (57672)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 18 925
Number of people in tax households 38 177
Median disposable income (per consumption unit in euros) 23 910
Share of actually taxed tax households (in %) 36
  • 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 18
Less than 30 years old 23
30 to 39 years old 21
40 to 49 years old 21
50 to 59 years old 19
60 to 74 years old 11
75 and over 11
  • 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 18
Homeowner 6
Tenant 29
  • 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 67,7
including wages 60,5
including unemployment pensions 2,6
including self-employed income 4,6
Retirement pension or annuity 23,4
Capital income (real estate, financial, others) 18,3
Social benefits 4,4
including child benefit 1,0
including income support 2,3
including housing benefit 1,1
Tax –13,8
  • 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) 23 910
Inter-decile ratio 5,3
1st decile (in euros) 10 520
9th decile (in euros) 55 650
  • 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 Thionville (57672)

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 14,2 12,8 15,5
Managerial staff* 26,4 23,6 27,9
Middle-level occupations 15,7 14,3 17,1
Services employee 11,0 10,8 11,3
Blue-collar workers 11,1 9,1 11,7
  • * 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 –17,0
Managerial staff* –15,3
Middle-level occupations –16,5
Services employee –4,2
Blue-collar workers –22,1
  • * 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 9,9 9,9 10,0
26 to 50 years old 13,7 12,9 14,4
50 years old or over 16,7 13,8 19,4
  • 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 –1,5
26 to 50 years old –10,8
50 years old and over –28,8
  • 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 Thionville (57672)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1 - 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 to 19 employees 20 to 49 employees 50 or more employees
Altogether 1 441 100,0 106 1 050 144 96 45
Agriculture, forestry and fishing 5 0,3 1 3 1 0 0
Industrial economy 75 5,2 5 51 7 9 3
Building industry 71 4,9 5 55 7 3 1
Trade, transport, various services 1 069 74,2 86 815 102 52 14
including trade and car repair 412 28,6 39 315 38 16 4
Administration publique, enseignement, santé, action sociale 221 15,3 9 126 27 32 27
  • 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 T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 16 357 100,0 3 525 1 945 2 964 1 614 6 309
Agriculture, forestry and fishing 18 0,1 4 14 0 0 0
Industrial economy 933 5,7 204 111 251 175 192
Building industry 449 2,7 209 90 93 57 0
Trade, transport, various services 7 426 45,4 2 688 1 358 1 551 500 1 329
including trade and car repair 2 865 17,5 1 172 501 438 126 628
Administration publique, enseignement, santé, action sociale 7 531 46,0 420 372 1 069 882 4 788
  • 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* 15,3
Trade, transport, various services* 74,2
Building industry* 4,9
Industrial economy* 5,2
Agriculture, forestry and fishing* 0,3
  • 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 G2 - Distribution of active employer establishments by size at the end of 2020

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 3,1
20 to 49 employees 6,7
10 to 19 employees 10,0
1 to 9 employee(s) 72,9
0 employee 7,4
  • 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 G2 - 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 1 441 100,0 16 357 100,0
Productive sphere* 281 19,5 2 385 14,6
of which public domain* 1 0,1 6 0,0
Presential sphere 1 160 80,5 13 972 85,4
of which public domain* 61 4,2 4 554 27,8
  • 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 T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 1 369 100,0
Employers of childminders 401 29,3
Employers of other employees 968 70,7
  • 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 Thionville (57672)

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 513 100,0 397 77,4
Industry 20 3,9 14 70,0
Construction 30 5,8 20 66,7
Wholesale and retail trade/transports/accommodations and food service activities 169 32,9 135 79,9
Information/communication 30 5,8 22 73,3
Finance and insurance activities 18 3,5 4 22,2
Real estate activities 19 3,7 7 36,8
Professional/scientific/technical activites/administrative and support service activities 91 17,7 70 76,9
Public administration/education/healthcare/social work 65 12,7 62 95,4
Other service activities 71 13,8 63 88,7
  • 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 254 252 254 220 234 256 256 297 354 513
Sole proprietorship 185 161 185 134 150 159 166 208 245 397
  • 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 2 797 100,0
Industry 122 4,4
Construction 234 8,4
Wholesale and retail trade/transports/accommodations and food service activities 937 33,5
Information/communication 72 2,6
Finance and insurance activities 118 4,2
Real estate activities 167 6,0
Professional/scientific/technical activites/administrative and support service activities 414 14,8
Public administration/education/human health/social work 466 16,7
Other service activities 267 9,5
  • 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 596 100,0
Industry 22 3,7
Construction 32 5,4
Wholesale and retail trade/transports/accommodations and food service activities 213 35,7
Information/communication 30 5,0
Finance and insurance activities 22 3,7
Real estate activities 22 3,7
Professional/scientific/technical activites/administrative and support service activities 103 17,3
Public administration/education/healthcare/social work 75 12,6
Other service activities by the number of business creations including free lancers 77 12,9
  • 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 318 287 294 259 290 289 299 359 413 596
  • 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 3 437 100,0
Industry 164 4,8
Construction 249 7,2
Wholesale and retail trade/transports/accommodations and food service activities 1 264 36,8
Information/communication 76 2,2
Finance and insurance activities 158 4,6
Real estate activities 198 5,8
Professional/scientific/technical activites/administrative and support service activities 491 14,3
Public administration/education/human health/social work 540 15,7
Other service activities 297 8,6
  • 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 Thionville (57672)

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 7 450
1 star 0 0
2 stars 3 189
3 stars 2 148
4 stars 2 113
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 1 43
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 43
  • 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 1 250
Tourist accommodations 1 250
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.