données locales

Paru le : 21/02/2023

Full set of local data Employment area 2020 of Château-Thierry (3209)

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

Growth and structure of the population in 2019

Employment area 2020 of Château-Thierry (3209)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 70 796 100,0 71 371 100,0 72 680 100,0
0 to 14 years old 14 199 20,1 14 105 19,8 14 071 19,4
15 to 29 years old 12 098 17,1 11 641 16,3 11 254 15,5
30 to 44 years old 14 518 20,5 14 033 19,7 13 420 18,5
45 to 59 years old 15 026 21,2 14 935 20,9 15 131 20,8
60 to 74 years old 8 958 12,7 10 279 14,4 12 319 17,0
75 and over 5 997 8,5 6 378 8,9 6 485 8,9
  • 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 20,1 19,8 19,4
15 to 29 years old 17,1 16,3 15,5
30 to 44 years old 20,5 19,7 18,5
45 to 59 years old 21,2 20,9 20,8
60 to 74 years old 12,7 14,4 17,0
75 and over 8,5 8,9 8,9
  • 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 53 028 55 132 59 446 64 727 67 341 70 796 71 371 72 680
Average density (inhab / km²) 43,3 45,0 48,6 52,9 55,0 57,8 58,3 59,4
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 0,6 1,1 1,1 0,4 0,6 0,2 0,3
due to the natural balance in % 0,3 0,3 0,4 0,3 0,3 0,3 0,1
due to the apparent balance of inflows and outflows in % 0,3 0,8 0,7 0,1 0,3 –0,2 0,2
Natality rate (‰) 16,3 14,3 14,3 13,1 12,6 12,8 11,6
Mortality rate (‰) 13,4 11,8 10,6 10,1 9,5 9,4 10,3
  • 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 35 845 100,0 36 835 100,0
0 to 14 years old 7 238 20,2 6 833 18,6
15 to 29 years old 5 745 16,0 5 509 15,0
30 to 44 years old 6 632 18,5 6 788 18,4
45 to 59 years old 7 556 21,1 7 574 20,6
60 to 74 years old 6 128 17,1 6 192 16,8
75 to 89 years old 2 302 6,4 3 292 8,9
90 years and over 245 0,7 647 1,8
0 to 19 years old 9 492 26,5 8 948 24,3
20 to 64 years old 19 988 55,8 20 132 54,7
65 and over 6 365 17,8 7 755 21,1
  • 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: 70 475 100,0 71 904 100,0
In the same house 63 179 89,6 64 966 90,3
In another house in the same town 1 693 2,4 1 591 2,2
In another town 5 603 7,9 5 348 7,4
  • 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 %

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 24,1 75,9
15 to 24 years old 22,3 77,7
25 to 54 years old 23,5 76,5
55 years old and over 19,5 80,5
  • 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 56 630 100,0 57 262 100,0 58 442 100,0
Farmer operators 1 207 2,1 1 104 1,9 1 137 1,9
Craftsmen, traders, business leaders 1 691 3,0 2 004 3,5 1 963 3,4
Managers and higher intellectual professions 2 874 5,1 3 118 5,4 3 044 5,2
Middle-level occupations 6 784 12,0 7 157 12,5 7 303 12,5
Services employee 9 545 16,9 9 993 17,5 9 754 16,7
Blue-collar workers 10 805 19,1 10 815 18,9 10 309 17,6
Retirees 14 850 26,2 15 197 26,5 16 341 28,0
Other people with no professional activity 8 874 15,7 7 875 13,8 8 591 14,7
  • 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 28 346 30 096 100,0 100,0 100,0
Farmer operators 738 399 0,3 2,6 1,7
Craftsmen, traders, business leaders 1 290 673 0,8 5,1 2,2
Managers and higher intellectual professions 1 819 1 225 0,8 8,6 2,6
Middle-level occupations 3 312 3 991 5,7 20,9 4,8
Services employee 2 264 7 490 14,6 25,8 6,6
Blue-collar workers 8 043 2 266 16,2 27,8 6,1
Retirees 7 536 8 805 0,0 0,3 69,5
Other people without professional activity 3 344 5 247 61,5 9,0 6,6
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Employment area 2020 of Château-Thierry (3209)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 28 453 100,0 29 615 100,0 30 615 100,0 69 437 69 947 71 269
One-person households (male and female) 7 875 27,7 8 858 29,9 9 588 31,3 7 875 8 858 9 588
 Single Male 3 376 11,9 4 031 13,6 4 236 13,8 3 376 4 031 4 236
 Single Female 4 499 15,8 4 827 16,3 5 353 17,5 4 499 4 827 5 353
Other households without families 541 1,9 583 2,0 371 1,2 1 335 1 383 802
Family households: 20 037 70,4 20 175 68,1 20 656 67,5 60 227 59 706 60 879
 Couple with no children 8 425 29,6 8 692 29,3 8 823 28,8 17 247 17 885 18 181
 Couple with children 9 390 33,0 9 106 30,7 8 932 29,2 36 826 35 555 35 165
 Single parent 2 222 7,8 2 376 8,0 2 900 9,5 6 154 6 266 7 532
  • 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 3,09 2,91 2,77 2,70 2,56 2,44 2,37 2,33
  • (*) 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 0,9 1,2 1,7
20 to 24 years old 10,2 9,7 10,6
25 to 39 years old 9,0 10,7 11,3
40 to 54 years old 9,6 10,9 11,7
55 to 64 years old 16,5 18,8 19,9
65 to 79 years old 26,7 26,3 26,1
80 and over 48,3 47,4 46,9
  • 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 3,1 2,3 1,8
20 to 24 years old 30,2 34,9 29,4
25 to 39 years old 74,9 73,4 71,4
40 to 54 years old 79,7 77,5 75,8
55 to 64 years old 76,8 74,6 72,8
65 to 79 years old 66,4 67,3 68,4
80 and over 36,7 39,3 40,3
  • 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 45,2
Civil partnership 4,4
In cohabitation 13,5
Widowed 7,3
Divorced 6,0
Single 23,6
  • 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 30 615 100,0 71 269 100,0
Farmer operators 761 2,5 2 015 2,8
Craftsmen, traders, business leaders 1 291 4,2 3 705 5,2
Managers and higher intellectual professions 2 024 6,6 5 506 7,7
Middle-level occupations 4 318 14,1 11 617 16,3
Services employee 5 183 16,9 13 493 18,9
Blue-collar workers 6 604 21,6 18 374 25,8
Retirees 9 323 30,5 14 618 20,5
Other people with no professional activity 1 110 3,6 1 942 2,7
  • 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 2,5
Handicrafters, traders, business leaders 4,2
Managers and higher intellectual professions 6,6
Middle-level occupations 14,1
Services employee 16,9
Blue-collar workers 21,6
Retirees 30,5
Unemployed persons 3,6
  • 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 20 190 100,0 20 364 100,0 20 851 100,0
Couple with children 9 406 46,6 9 133 44,9 8 964 43,0
Single parent 2 291 11,3 2 462 12,1 3 026 14,5
Male single parent 384 1,9 498 2,4 617 3,0
Female single parent 1 906 9,4 1 964 9,6 2 409 11,6
Couple with no children 8 493 42,1 8 769 43,1 8 861 42,5
  • 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 20 190 100,0 20 364 100,0 20 851 100,0
No children 9 450 46,8 9 720 47,7 10 200 48,9
1 child 4 497 22,3 4 579 22,5 4 386 21,0
2 children 4 092 20,3 4 033 19,8 4 151 19,9
3 children 1 559 7,7 1 519 7,5 1 541 7,4
4 children and over 592 2,9 513 2,5 573 2,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Employment area 2020 of Château-Thierry (3209)

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 21 685 24 348 27 678 29 323 30 988 33 091 34 471 36 028
Main residences 16 815 18 543 21 179 23 495 25 767 28 435 29 577 30 621
Second homes 3 235 3 881 4 246 3 783 3 028 2 301 1 881 1 820
Vacant dwellings 1 635 1 924 2 253 2 045 2 193 2 355 3 013 3 587
  • (*) 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 33 091 100,0 34 471 100,0 36 028 100,0
Main residences 28 435 85,9 29 577 85,8 30 621 85,0
Second homes 2 301 7,0 1 881 5,5 1 820 5,1
Vacant dwellings 2 355 7,1 3 013 8,7 3 587 10,0
Houses 25 654 77,5 26 545 77,0 27 427 76,1
Flats 7 167 21,7 7 753 22,5 8 384 23,3
  • 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 28 435 100,0 29 577 100,0 30 621 100,0
1 room 691 2,4 903 3,1 663 2,2
2 rooms 2 199 7,7 2 427 8,2 2 451 8,0
3 rooms 5 013 17,6 5 413 18,3 5 736 18,7
4 rooms 7 828 27,5 7 697 26,0 8 074 26,4
5 rooms and over 12 704 44,7 13 137 44,4 13 696 44,7
  • 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 4,4 4,4 4,4
Houses 4,8 4,8 4,9
Flats 3,0 2,9 3,0
  • 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 2,8
Non-over-occupied 97,2
  • 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 30 079 100,0
before 1919 6 873 22,9
from 1919 to 1945 3 568 11,9
from 1946 to 1970 5 658 18,8
from 1971 to 1990 8 630 28,7
from 1991 to 2005 2 880 9,6
from 2006 to 2015 2 469 8,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 6 154 690
from 1919 to 1945 3 015 531
from 1946 to 1970 3 761 1 888
from 1971 to 1990 6 173 2 388
from 1991 to 2005 2 176 693
from 2006 to 2015 1 867 592
  • 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 30 621 100,0 71 246 4,4 1,9
Less than 2 years 3 188 10,4 7 171 3,6 1,6
From 2 to 4 years 5 474 17,9 13 503 3,9 1,6
From 5 to 9 years 4 977 16,3 13 256 4,3 1,6
10 years and over 16 983 55,5 37 315 4,8 2,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 10,4
From 2 to 4 years 17,9
From 5 to 9 years 16,3
From 10 to 19 years 21,4
From 20 to 29 years 12,5
30 years and over 21,6
  • 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 28 435 100,0 29 577 100,0 30 621 100,0 71 246 16,9
Homeowner 19 414 68,3 20 065 67,8 20 519 67,0 49 358 21,0
Tenant 8 336 29,3 8 963 30,3 9 530 31,1 20 638 8,2
(including social sector housing) 3 201 11,3 3 307 11,2 3 602 11,8 7 986 10,7
Housed for free 684 2,4 549 1,9 572 1,9 1 249 14,0
  • 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 28 435 100,0 29 577 100,0 30 621 100,0
Bathroom including a shower or a bath 27 389 96,3 28 692 97,0 29 860 97,5
Collective central heating 2 796 9,8 2 406 8,1 2 863 9,4
Individual central heating 12 920 45,4 12 629 42,7 12 711 41,5
Individual electric heating 6 911 24,3 7 970 26,9 8 650 28,2
  • 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 28 435 100,0 29 577 100,0 30 621 100,0
At least one parking spot 18 276 64,3 19 516 66,0 20 331 66,4
At least one car 24 446 86,0 25 507 86,2 26 721 87,3
1 car 13 442 47,3 13 718 46,4 14 166 46,3
2 cars and over 11 004 38,7 11 789 39,9 12 555 41,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Employment area 2020 of Château-Thierry (3209)

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 3 616 2 645 73,2 74,0 72,3
6 to 10 years old 4 967 4 848 97,6 97,7 97,5
11 to 14 years old 3 935 3 871 98,4 98,4 98,4
15 to 17 years old 2 988 2 845 95,2 93,9 96,6
18 to 24 years old 4 575 1 523 33,3 29,7 37,2
25 to 29 years old 3 691 118 3,2 2,4 4,0
30 years old and over 47 355 233 0,5 0,5 0,5
  • 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 74,2 74,1 73,2
6 to 10 years old 99,1 98,4 97,6
11 to 14 years old 99,1 99,0 98,4
15 to 17 years old 96,2 95,3 95,2
18 to 24 years old 37,6 33,8 33,3
25 to 29 years old 3,4 2,2 3,2
30 years old and over 0,5 0,5 0,5
  • 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 53 888 26 328 27 560
Proportion of graduates in percentage
No diploma or primary education certificate 27,8 26,0 29,6
BEPC brevet des collèges or DNB 6,1 5,1 7,1
CAP, BEP or equivalent 30,0 36,1 24,3
Baccalauréat, brevet professionnel or equivalent 16,7 15,7 17,7
2 years at university 9,1 8,3 9,8
3 to 4 years at university 6,0 4,4 7,5
5 years and over at university 4,2 4,4 4,1
  • 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 36,3 27,8
BEPC brevet des collèges or DNB 6,6 6,1
CAP, BEP or equivalent 27,6 30,0
Baccalauréat, brevet professionnel or equivalent 13,7 16,7
2 years and over at university 15,8 19,3
  • 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

Employment area 2020 of Château-Thierry (3209)

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 45 290 45 242 44 488
Labor force in % 73,3 75,0 75,3
 including people in work in % 64,8 64,5 64,5
 including unemployed workers in % 8,5 10,6 10,7
Economically inactive people in % 26,7 25,0 24,7
 including pupils, students or interns in % 8,7 8,0 8,6
 including retirees in % 8,9 9,0 7,6
 including other economically inactive people in % 9,1 7,9 8,6
  • 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 44 488 33 488 75,3 28 710 64,5
 15 to 24 years old 7 563 3 355 44,4 2 282 30,2
 25 to 54 years old 27 258 24 838 91,1 21 733 79,7
 55 to 64 years old 9 668 5 295 54,8 4 695 48,6
Male 22 242 17 465 78,5 15 079 67,8
 15 to 24 years old 3 886 1 902 48,9 1 297 33,4
 25 to 54 years old 13 547 12 837 94,8 11 344 83,7
 55 to 64 years old 4 809 2 727 56,7 2 438 50,7
Female 22 246 16 022 72,0 13 631 61,3
 15 to 24 years old 3 676 1 453 39,5 985 26,8
 25 to 54 years old 13 711 12 001 87,5 10 389 75,8
 55 to 64 years old 4 858 2 568 52,9 2 257 46,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 64,5
Unemployed workers 10,7
Retirees 7,6
Pupils, students or interns 8,6
Other economically inactive people 8,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 33 112 29 236 34 359 29 682 33 680 28 941
including
 Farmer operators 1 179 1 168 1 067 1 067 1 097 1 076
 Handicrafters, traders and business leaders 1 656 1 590 1 954 1 877 1 914 1 804
 Managers and higher intellectual professions 2 855 2 741 3 072 2 947 2 998 2 909
 Middle-level occupations 6 762 6 320 7 128 6 518 7 236 6 677
 Services employee 9 541 8 355 9 948 8 499 9 674 8 112
 Blue-collar workers 10 789 9 062 10 761 8 774 10 213 8 363
  • 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 3 836 4 779 4 778
Unemployment rate in % 11,6 14,1 14,3
Unemployment of the 15-24 aged 27,7 35,2 32,0
Unemployment of the 25-54 aged 9,4 11,6 12,5
Unemployment of the 55-64 aged 9,5 11,0 11,3
  • 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 26,1
BEPC brevet des collèges or DNB 19,1
CAP, BEP or equivalent 14,7
Baccalauréat, brevet professionnel or equivalent 12,8
2 years at university 8,5
3 to 4 years at university 5,9
5 years and over at university 6,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 22 997 22 470 21 921
People in work living in the area 29 529 29 392 29 135
Employment concentration indicator 77,9 76,4 75,2
Activity rate of 15 years old and over in % 58,9 59,7 57,9
  • 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 22 997 100,0 22 470 100,0 21 921 100,0
Employee 19 654 85,5 19 011 84,6 18 676 85,2
 including women 9 963 43,3 9 932 44,2 9 793 44,7
 including part-time workers 3 579 15,6 3 381 15,0 3 208 14,6
Non-employee 3 343 14,5 3 460 15,4 3 245 14,8
 including women 1 161 5,0 1 230 5,5 1 251 5,7
 including part-time workers 301 1,3 349 1,6 365 1,7
  • 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 21 875 100,0
Farmer operators 1 106 5,1
Handicrafters, traders, business leaders 1 498 6,8
Managers and higher intellectual professions 2 022 9,2
Middle-level occupations 4 655 21,3
Services employee 6 069 27,7
Blue-collar workers 6 525 29,8
  • 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 4,9 4,9 5,1
Handicrafters, traders, business leaders 6,2 7,3 6,8
Managers and higher intellectual professions 8,9 9,1 9,2
Middle-level occupations 20,8 20,4 21,3
Services employee 27,8 28,7 27,7
Blue-collar workers 31,3 29,6 29,8
  • 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 22 980 100,0 22 934 100,0 21 875 100,0 50,3 85,7
Agriculture 2 119 9,2 2 287 10,0 2 129 9,7 35,7 49,0
Industry 3 976 17,3 3 666 16,0 3 227 14,8 33,8 94,8
Construction 1 662 7,2 1 704 7,4 1 298 5,9 9,7 69,9
Wholesale and retail trade/transports/accommodations and food service activities 8 338 36,3 7 887 34,4 8 113 37,1 47,2 85,3
Public administration/education/healthcare/social work 6 885 30,0 7 390 32,2 7 108 32,5 73,0 95,8
  • 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 36,1 35,4
Industry 33,7 36,8
Construction 11,6 5,3
Wholesale and retail trade, transports, accommodations and food service activities 47,7 44,4
Public administration, education, healthcare, social work 73,6 60,6
  • 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

Employment area 2020 of Château-Thierry (3209)

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 29 127 100,0 14,5 47,4
Employees 25 528 87,6 14,9 48,9
Non-employees 3 600 12,4 11,3 36,9
  • 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 15 316 100 13 811 100
Employees 13 043 85,2 12 485 90,4
 Tenured personnel and open-ended employment contracts 11 229 73,3 10 469 75,8
 Fixed-term employment contracts 925 6,0 1 413 10,2
 Temporary employment 419 2,7 207 1,5
 Assisted jobs 167 1,1 224 1,6
 Apprentice ship contract - Traineeship 304 2,0 171 1,2
Non-employees 2 273 14,8 1 326 9,6
 Independents 1 117 7,3 839 6,1
 Employers 1 144 7,5 449 3,2
 Caregivers 13 0,1 39 0,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 12 908 6,4 12 357 23,0
15 to 24 years old 1 237 18,1 938 32,6
25 to 54 years old 9 792 4,2 9 458 20,9
55 to 64 years old 1 879 10,0 1 961 28,4
  • 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 6,4 6,0 6,9
Female 26,2 25,9 23,3
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 29 515 100 29 387 100 29 127 100
working :
in their residential zone 8 159 27,6 7 855 26,7 7 187 24,7
in another zone 21 356 72,4 21 533 73,3 21 941 75,3
  • 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 4,7
Walking 5,4
Bicycle 0,7
Motorized two-wheeled vehicles 1,2
Car or truck 76,0
Public transports 11,9
  • 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

Employment area 2020 of Château-Thierry (3209)

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 707 754 765 770 759 799 859 816
Domiciled births 850 862 807 839 754 741 723 725
  • 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

Employment area 2020 of Château-Thierry (3209)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 30 282
Number of people in tax households 71 960
Median disposable income (per consumption unit in euros) 21 490
Share of actually taxed tax households (in %) 48,4
  • 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 13,9
Less than 30 years old 21,5
30 to 39 years old 17,7
40 to 49 years old 16,0
50 to 59 years old 12,8
60 to 74 years old 9,8
75 and over 7,7
  • 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 13,9
Homeowner 7,0
Tenant 29,8
  • 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 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 71,5
including wages 60,9
including unemployment pensions 3,4
including self-employed income 7,2
Retirement pension or annuity 28,2
Capital income (real estate, financial, others) 8,5
Social benefits 6,6
including child benefit 2,6
including income support 2,8
including housing benefit 1,2
Tax –14,8
  • 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) 21 490
Inter-decile ratio 2,9
1st decile (in euros) 12 130
9th decile (in euros) 35 100
  • 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

Employment area 2020 of Château-Thierry (3209)

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 14,4 13,2 15,2
Managerial staff* 24,5 21,9 25,7
Middle-level occupations 16,1 14,9 17,0
Services employee 11,7 11,5 12,0
Blue-collar workers 12,4 11,0 12,8
  • * 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 –13,5
Managerial staff* –14,7
Middle-level occupations –12,2
Services employee –4,3
Blue-collar workers –14,1
  • * 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 10,6 10,2 10,8
26 to 50 years old 14,1 13,0 14,9
50 years old or over 16,3 14,7 17,4
  • 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 –5,9
26 to 50 years old –12,9
50 years old and over –15,4
  • 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

  • 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

Employment area 2020 of Château-Thierry (3209)

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 2 117 100,0 168 1 633 175 88 53
Agriculture, forestry and fishing 452 21,4 69 377 6 0 0
Industrial economy 159 7,5 15 88 25 17 14
Building industry 221 10,4 12 185 13 8 3
Trade, transport, various services 949 44,8 67 751 88 32 11
including trade and car repair 315 14,9 12 247 36 16 4
Administration publique, enseignement, santé, action sociale 336 15,9 5 232 43 31 25
  • 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 17 377 100,0 4 538 2 296 2 749 2 188 5 606
Agriculture, forestry and fishing 883 5,1 802 81 0 0 0
Industrial economy 3 097 17,8 332 324 495 477 1 469
Building industry 1 123 6,5 498 164 210 122 129
Trade, transport, various services 5 995 34,5 2 094 1 166 1 059 530 1 146
including trade and car repair 2 369 13,6 789 469 516 125 470
Administration publique, enseignement, santé, action sociale 6 279 36,1 812 561 985 1 059 2 862
  • 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* 15,9
Trade, transport, various services* 44,8
Building industry* 10,4
Industrial economy* 7,5
Agriculture, forestry and fishing* 21,4
  • 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 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 2,5
20 to 49 employees 4,2
10 to 19 employees 8,3
1 to 9 employee(s) 77,1
0 employee 7,9
  • 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 2 117 100,0 17 377 100,0
Productive sphere* 901 42,6 6 210 35,7
of which public domain* 0 0,0 0 0,0
Presential sphere 1 216 57,4 11 167 64,3
of which public domain* 244 11,5 4 635 26,7
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 2 117 100,0 17 377 100,0
Agriculture, forestry and fishing 452 21,4 883 5,1
Manufacture of food, drink and tobacco products 59 2,8 577 3,3
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 8 0,4 83 0,5
Manufacture of transport equipment 1 0,0 148 0,9
Manufacture of other industrial products 68 3,2 2 053 11,8
Extractive industries, energy, water, waste management and pollution control 23 1,1 236 1,4
Building industry 221 10,4 1 123 6,5
Trade ; repair of automobiles and motorcycles 315 14,9 2 369 13,6
Transportation and warehousing 60 2,8 1 248 7,2
Accommodation and catering 107 5,1 475 2,7
Information and communication 17 0,8 34 0,2
Financial and insurance activities 52 2,5 200 1,2
Real estate activities 37 1,7 76 0,4
Scientific and technical activities; administrative and support services 215 10,2 1 091 6,3
General government, education, human healthcare and social action 336 15,9 6 279 36,1
Other service activities 146 6,9 502 2,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES 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 3 450 100,0
Employers of childminders 1 600 46,4
Employers of other employees 1 850 53,6
  • 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

Employment area 2020 of Château-Thierry (3209)

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 687 100,0 538 78,3
Industry 54 7,9 44 81,5
Construction 78 11,4 54 69,2
Wholesale and retail trade/transports/accommodations and food service activities 209 30,4 156 74,6
Information/communication 31 4,5 26 83,9
Finance and insurance activities 8 1,2 4 50,0
Real estate activities 18 2,6 0 0,0
Professional/scientific/technical activites/administrative and support service activities 143 20,8 117 81,8
Public administration/education/healthcare/social work 68 9,9 63 92,6
Other service activities 78 11,4 74 94,9
  • 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 474 397 398 397 403 413 457 551 536 687
Sole proprietorship 398 315 301 288 293 292 346 435 412 538
  • 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 3 813 100,0
Industry 309 8,1
Construction 617 16,2
Wholesale and retail trade/transports/accommodations and food service activities 1 017 26,7
Information/communication 105 2,8
Finance and insurance activities 98 2,6
Real estate activities 222 5,8
Professional/scientific/technical activites/administrative and support service activities 580 15,2
Public administration/education/human health/social work 462 12,1
Other service activities 403 10,6
  • 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 763 100,0
Industry 65 8,5
Construction 82 10,7
Wholesale and retail trade/transports/accommodations and food service activities 233 30,5
Information/communication 36 4,7
Finance and insurance activities 8 1,0
Real estate activities 19 2,5
Professional/scientific/technical activites/administrative and support service activities 153 20,1
Public administration/education/healthcare/social work 83 10,9
Other service activities by the number of business creations including free lancers 84 11,0
  • 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 542 442 445 447 455 464 527 608 586 763
  • 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 4 363 100,0
Industry 404 9,3
Construction 650 14,9
Wholesale and retail trade/transports/accommodations and food service activities 1 227 28,1
Information/communication 116 2,7
Finance and insurance activities 134 3,1
Real estate activities 249 5,7
Professional/scientific/technical activites/administrative and support service activities 648 14,9
Public administration/education/human health/social work 515 11,8
Other service activities 420 9,6
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Employment area 2020 of Château-Thierry (3209)

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 11 297
1 star 0 0
2 stars 2 55
3 stars 4 113
4 stars 1 40
5 stars 1 35
Non-ranked 3 54
  • 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 4 218
1 star 0 0
2 stars 3 206
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 12
  • 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.