données locales

Paru le : 01/04/2025

Full set of local data inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

Detailed figures
Paru le :Paru le01/04/2025
- April 2025

The presented data are disseminated using 2024 geography, for all sources. For reasons of statistical confidentiality, some indicators may not be provided.

Growth and structure of the population in 2021

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2010 % 2015 % 2021 %
Altogether 33 441 100,0 33 336 100,0 32 160 100,0
0 to 14 years old 6 944 20,8 7 087 21,3 6 169 19,2
15 to 29 years old 6 492 19,4 5 614 16,8 5 245 16,3
30 to 44 years old 6 593 19,7 6 349 19,0 5 776 18,0
45 to 59 years old 6 571 19,7 6 489 19,5 6 463 20,1
60 to 74 years old 4 152 12,4 5 086 15,3 5 684 17,7
75 and over 2 690 8,0 2 711 8,1 2 823 8,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2010 2015 2021
0 to 14 years old 20,8 21,3 19,2
15 to 29 years old 19,4 16,8 16,3
30 to 44 years old 19,7 19,0 18,0
45 to 59 years old 19,7 19,5 20,1
60 to 74 years old 12,4 15,3 17,7
75 and over 8,0 8,1 8,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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 2010 2015 2021
Population 24 993 27 974 29 393 31 421 32 508 33 441 33 336 32 160
Average density (inhab / km²) 93,6 104,8 110,1 117,7 121,8 125,3 124,9 120,5
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024.
  • Sources: Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2010 2010 to 2015 2015 to 2021
Average annual change in population in % 1,6 0,7 0,8 0,4 0,3 –0,1 –0,6
due to the natural balance in % 0,8 0,8 0,8 0,6 0,5 0,5 0,2
due to the apparent balance of inflows and outflows in % 0,8 –0,1 0,1 –0,2 –0,2 –0,5 –0,8
Natality rate (‰) 19,6 17,8 16,8 14,9 14,7 14,0 11,7
Mortality rate (‰) 11,4 9,9 8,9 8,6 9,7 9,4 9,7
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024
  • Sources: Insee, RP1968 to 1999 counts, RP2010 to RP2021 main holdings - Civil status

POP T3 - Population by age and sex in 2021

POP T3 - Population by age and sex in 2021
Age Male % Female %
Altogether 15 662 100,0 16 498 100,0
0 to 14 years old 3 177 20,3 2 992 18,1
15 to 29 years old 2 668 17,0 2 577 15,6
30 to 44 years old 2 806 17,9 2 970 18,0
45 to 59 years old 3 231 20,6 3 232 19,6
60 to 74 years old 2 723 17,4 2 962 18,0
75 to 89 years old 963 6,1 1 433 8,7
90 years and over 95 0,6 332 2,0
0 to 19 years old 4 243 27,1 3 988 24,2
20 to 64 years old 8 616 55,0 8 875 53,8
65 and over 2 803 17,9 3 635 22,0
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2015 % 2021 %
People one year old and over, previously living: 32 884 100,0 31 766 100,0
In the same house 29 546 89,8 28 718 90,4
In another house in the same town 939 2,9 834 2,6
In another town 2 399 7,3 2 215 7,0
  • Source: Insee, RP2015, RP2021 main operations, geography as of 01/01/2024.

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 32,4 67,6
15 to 24 years old 24,4 75,6
25 to 54 years old 24,9 75,1
55 years old and over 30,5 69,5
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
socioprofessional classification 2010 % 2015 % 2021 %
Altogether 26 552 100,0 26 306 100,0 26 223 100,0
Farmer operators 110 0,4 132 0,5 127 0,5
Craftsmen, traders, business leaders 654 2,5 780 3,0 724 2,8
Managers and higher intellectual professions 1 082 4,1 982 3,7 1 119 4,3
Middle-level occupations 2 894 10,9 3 131 11,9 3 116 11,9
Services employee 4 952 18,7 4 597 17,5 4 232 16,1
Blue-collar workers 5 358 20,2 4 862 18,5 4 729 18,0
Retirees 6 647 25,0 6 931 26,3 7 267 27,7
Other people with no professional activity 4 854 18,3 4 891 18,6 4 910 18,7
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021
socioprofessional classification Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 12 703 13 520 100,0 100,0 100,0
Farmer operators 77 50 0,0 0,7 0,4
Craftsmen, traders, business leaders 504 220 1,0 4,0 2,0
Managers and higher intellectual professions 658 461 0,9 7,2 2,2
Middle-level occupations 1 483 1 632 6,1 20,3 4,5
Services employee 999 3 233 15,3 24,9 6,7
Blue-collar workers 3 818 910 16,8 29,0 6,3
Retirees 3 352 3 915 0,0 0,2 67,8
Other people without professional activity 1 811 3 099 59,8 13,7 10,0
  • Source: Insee, RP2021 additional operation, geography as of 01/01/2024.

Couples – Family – Households in 2021

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

FAM T1 - Households by composition

FAM T1 - Households by composition
household type Number of households Household population
2010 % 2015 % 2021 % 2010 2015 2021
Altogether 13 050 100,0 13 367 100,0 13 605 100,0 32 157 32 578 31 684
One-person households (male and female) 3 812 29,2 3 900 29,2 4 384 32,2 3 812 3 900 4 384
 Single Male 1 596 12,2 1 546 11,6 2 082 15,3 1 596 1 546 2 082
 Single Female 2 216 17,0 2 354 17,6 2 302 16,9 2 216 2 354 2 302
Other households without families 259 2,0 254 1,9 177 1,3 714 597 395
Family households : 8 978 68,8 9 213 68,9 9 045 66,5 27 631 28 081 26 904
 Couple without children 3 398 26,0 3 554 26,6 3 574 26,3 6 974 7 270 7 265
 Couple with children 4 324 33,1 4 215 31,5 3 970 29,2 17 228 16 880 15 686
 Single parent 1 256 9,6 1 444 10,8 1 501 11,0 3 429 3 930 3 954
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

FAM T1bis - The detailed composition of single-family households.

FAM T1bis - The detailed composition of single-family households.
Single-family households Number of households % Household population
Altogether 8 960 100,0 26 445
Couple without children 3 546 39,2 7 148
Couple with children 3 918 43,3 15 370
Couples with only children of the couple 3 354 37,1 12 922
Couples with at least one child of only one member of the couple 564 6,2 2 448
Single-parent family 1 496 16,5 3 927
Single man with child(ren) 473 5,2 1 171
Single woman with child(ren) 1 024 11,3 2 756
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Average number of occupants per main residence 3,39 3,20 3,00 2,92 2,71 2,46 2,44 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 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 main holdings

FAM G1 - Growth estimates of households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 main holdings

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

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2010 2015 2021
15 to 19 years old 0,8 1,2 2,0
20 to 24 years old 8,1 7,7 10,8
25 to 39 years old 11,3 8,5 10,7
40 to 54 years old 11,0 11,9 12,5
55 to 64 years old 17,4 18,4 20,2
65 to 79 years old 25,9 25,9 25,9
80 and above 52,9 50,8 48,5
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G3 - Proportion of couple families aged 15 years or over

FAM G3 - Proportion of couple families aged 15 years or over
2010 2015 2021
15 to 19 years old 1,8 2,6 1,9
20 to 24 years old 31,6 29,9 22,8
25 to 39 years old 69,4 69,7 69,3
40 to 54 years old 75,5 73,5 73,2
55 to 64 years old 75,1 72,3 70,6
65 to 79 years old 66,4 67,0 68,3
80 and above 33,2 34,4 35,9
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G3 - Proportion of couple families aged 15 years or over

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

FAM G4 - Marital status of the population aged 15 years or over in 2021
%
Married 43,8
Civil partnership 4,5
In cohabitation 12,2
Widowed 7,8
Divorced 5,8
Single 25,9
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM T2 - Households by socio-economic classification of the reference person in 2021

FAM T2 - Households by socio-economic classification of the reference person in 2021
Number of households % Household population %
Altogether 13 605 100,0 31 684 100,0
Farmer operators 79 0,6 227 0,7
Craftsmen, traders, business leaders 483 3,6 1 393 4,4
Managers and higher intellectual professions 744 5,5 2 023 6,4
Intermediate professions 1 859 13,7 4 966 15,7
Employees 2 148 15,8 5 518 17,4
Workers 3 282 24,1 9 358 29,5
Retirees 4 141 30,4 6 586 20,8
Other people without professional activity 869 6,4 1 613 5,1
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

FAM G5 - Households by socio-economic classification of the reference person in 2021
%
Farmer operators 0,6
Handicrafters, traders, business leaders 3,6
Managers and higher intellectual professions 5,5
Intermediate professions 13,7
Employees 15,8
Workers 24,1
Retirees 30,4
Unemployed persons 6,4
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM T3 - Families composition

FAM T3 - Families composition
2010 % 2015 % 2021 %
Altogether 9 036 100,0 9 282 100,0 9 129 100,0
Couple with children 4 335 48,0 4 221 45,5 3 975 43,5
Single parent 1 292 14,3 1 495 16,1 1 552 17,0
 Male single parent 240 2,7 222 2,4 292 3,2
 Female single parent 1 052 11,6 1 273 13,7 1 261 13,8
Couple without children 3 408 37,7 3 566 38,4 3 602 39,5
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

FAM T3bis - Detailed composition of families composed of couples with child(ren)

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2021 %
Altogether 3 975 100,0
Traditional family 3 398 85,5
Blended family 576 14,5
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2010 % 2015 % 2021 %
Altogether 9 036 100,0 9 282 100,0 9 129 100,0
Without any 4 038 44,7 4 143 44,6 4 400 48,2
1 child 2 026 22,4 2 036 21,9 2 007 22,0
2 children 1 824 20,2 1 974 21,3 1 676 18,4
3 children 776 8,6 782 8,4 742 8,1
4 children or above 372 4,1 347 3,7 304 3,3
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

Housing in 2021

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

LOG T1 - Growth estimates of the number of housings by category since 1968

LOG T1 - Growth estimates of the number of housings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Altogether 8 068 9 474 11 003 11 807 12 856 14 464 15 142 15 340
Principal residences 7 168 8 320 9 446 10 426 11 549 13 044 13 386 13 493
Secondary residences 374 607 815 666 497 330 342 364
Vacant accommodations 526 547 742 715 810 1 090 1 413 1 483
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

LOG T2 - Types and categories of housings

LOG T2 - Types and categories of housings
2010 % 2015 % 2021 %
Altogether 14 464 100,0 15 142 100,0 15 340 100,0
Principal residence 13 044 90,2 13 386 88,4 13 493 88,0
Secondary residences 330 2,3 342 2,3 364 2,4
Vacant accommodations 1 090 7,5 1 413 9,3 1 483 9,7
houses 10 481 72,5 11 039 72,9 11 108 72,4
flats 3 902 27,0 3 927 25,9 4 077 26,6
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
2010 % 2015 % 2021 %
Altogether 13 044 100,0 13 386 100,0 13 493 100,0
1 room 375 2,9 276 2,1 344 2,6
2 rooms 967 7,4 991 7,4 998 7,4
3 rooms 2 585 19,8 2 533 18,9 2 580 19,1
4 rooms 3 601 27,6 3 754 28,0 3 486 25,8
5 rooms or above 5 516 42,3 5 832 43,6 6 084 45,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
2010 2015 2021
All main residences 4,3 4,4 4,4
House 4,8 4,8 4,8
Flat 3,0 3,1 3,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2010 2015 2021
Over-occupied 4,0 3,7 3,9
Non-over-occupied 96,0 96,3 96,1
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

LOG T5 - Principal residences in 2021 by completion period

LOG T5 - Principal residences in 2021 by completion period
Number %
Principal residences build before 2019 13 430 100,0
before 1919 1 295 9,6
from 1919 to 1945 1 995 14,9
from 1946 to 1970 3 336 24,8
from 1971 to 1990 3 807 28,3
from 1991 to 2005 1 642 12,2
from 2006 to 2015 1 355 10,1
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

LOG G1 - Principal residences in 2021 by completion period and housing category
House Flat
before 1919 1 207 85
from 1919 to 1945 1 819 173
from 1946 to 1970 1 829 1 432
from 1971 to 1990 2 723 1 060
from 1991 to 2005 1 284 352
from 2006 to 2018 1 059 288
  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T6 - Housing tenure of the main residences in 2021

LOG T6 - Housing tenure of the main residences in 2021
Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 13 493 100,0 31 461 4,4 1,9
Less than 2 years ago 1 434 10,6 3 147 3,6 1,6
From 2 to 4 years ago 2 386 17,7 5 966 3,9 1,6
From 5 to 9 years ago 2 217 16,4 5 929 4,2 1,6
10 years ago or above 7 456 55,3 16 418 4,7 2,1
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

LOG G2 - Households’ Housing tenure in 2021
Share of households in%
Less than 2 years ago 10,6
From 2 to 4 years ago 17,7
From 5 to 9 years ago 16,4
From 10 to 19 years ago 19,7
From 20 to 29 years ago 12,6
30 years ago or above 22,9
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T7 - Principal residences by occupational status

LOG T7 - Principal residences by occupational status
2010 2015 2021
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 13 044 100,0 13 386 100,0 13 493 100,0 31 461 17,4
Homeowner 7 995 61,3 8 191 61,2 8 275 61,3 19 713 22,4
Tenant 4 673 35,8 4 871 36,4 4 903 36,3 11 088 9,2
(including public tenants) 2 346 18,0 2 507 18,7 2 546 18,9 5 903 12,0
Housed for free 377 2,9 325 2,4 315 2,3 660 11,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T8M - Principal residences by material comfort

LOG T8M - Principal residences by material comfort
2010 % 2015 % 2021 %
Altogether 13 044 100,0 13 386 100,0 13 493 100,0
Bathroom including a shower or a bath 12 419 95,2 13 016 97,2 13 059 96,8
Collective central heating 1 315 10,1 1 258 9,4 1 514 11,2
Individual central heating 6 562 50,3 6 806 50,8 6 408 47,5
Individual electric heating 3 115 23,9 3 103 23,2 3 220 23,9
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2010 % 2015 % 2021 %
Altogether 13 044 100,0 13 386 100,0 13 493 100,0
At least one parking spot 8 142 62,4 8 438 63,0 8 959 66,4
At least one car 10 817 82,9 11 136 83,2 11 333 84,0
1 car 5 938 45,5 6 011 44,9 5 929 43,9
2 cars or above 4 878 37,4 5 125 38,3 5 404 40,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

Education and training in 2021

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

FOR T1 - Enrollment by age and sex in 2021

FOR T1 - Enrollment by age and sex in 2021
Age Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 1 492 1 101 73,8 75,2 72,3
6 to 10 years old 2 102 2 041 97,1 97,6 96,5
11 to 14 years old 1 853 1 821 98,3 98,5 98,1
15 to 17 years old 1 421 1 333 93,8 91,4 96,3
18 to 24 years old 2 220 708 31,9 26,6 37,6
25 to 29 years old 1 604 50 3,1 4,1 2,1
30 years old and over 20 746 141 0,7 0,7 0,7
  • Source: Insee, RP2021 principal exploitation, geography at the 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
Age 2010 2015 2021
2 to 5 years old 71,7 72,8 73,8
6 to 10 years old 98,8 97,4 97,1
11 to 14 years old 99,2 98,2 98,3
15 to 17 years old 93,6 93,8 93,8
18 to 24 years old 38,2 32,1 31,9
25 to 29 years old 2,3 3,1 3,1
30 years old and over 0,5 0,5 0,7
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Diploma Altogether Male Female
Proportion of unschooled aged 15 years or above 23 759 11 421 12 338
Proportion of graduates in percentage
No diploma or primary education certificate 28,9 26,8 30,9
BEPC brevet des collèges or DNB 5,8 5,0 6,7
CAP, BEP or equivalent 29,4 34,7 24,6
Baccalauréat, brevet professionnel or equivalent 16,4 15,9 16,9
2 years at university 9,0 9,0 9,0
3 to 4 years at university 6,3 4,7 7,8
5 years and over at university 4,0 4,0 4,1
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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 %)
2010 2021
No diploma or primary education certificate 37,5 28,9
BEPC brevet des collèges or DNB 6,3 5,8
CAP, BEP or equivalent 27,0 29,4
Baccalauréat, brevet professionnel or equivalent 15,2 16,4
2 years and over at university 13,9 19,4
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

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 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

Active population, employment and unemployment within the meaning of the census in 2021

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2010 2015 2021
Altogether 21 506 20 562 19 553
Working age adult in % 70,7 71,0 71,8
 including working age adults with a job in % 59,1 57,6 59,6
 including unemployed workers in % 11,6 13,3 12,2
Economically inactive people in % 29,3 29,0 28,2
 including pupils, students or interns in % 8,3 8,6 8,8
 including retirees in % 9,0 8,2 7,1
 including other economically inactive people in % 11,9 12,2 12,3
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 19 553 14 041 71,8 11 660 59,6
 15 to 24 years old 3 641 1 678 46,1 1 114 30,6
 25 to 54 years old 11 668 10 181 87,3 8 631 74,0
 55 to 64 years old 4 244 2 182 51,4 1 915 45,1
Male 9 682 7 451 77,0 6 265 64,7
 15 to 24 years old 1 865 963 51,6 639 34,2
 25 to 54 years old 5 800 5 377 92,7 4 645 80,1
 55 to 64 years old 2 016 1 111 55,1 981 48,7
Female 9 871 6 590 66,8 5 395 54,7
 15 to 24 years old 1 775 715 40,3 475 26,7
 25 to 54 years old 5 868 4 804 81,9 3 986 67,9
 55 to 64 years old 2 228 1 071 48,1 934 41,9
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

EMP G1 - Population aged 15 to 64 by economic activity category in 2021
Population (%)
Working age adults who have a job 59,6
Unemployed workers 12,2
Retirees 7,1
Pupils, students or interns 8,8
Other economically inactive people 12,3
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T3 - Population aged 15 to 64 by socio-economic classification

EMP T3 - Population aged 15 to 64 by socio-economic classification
Socio-economic classification 2010 including working people 2015 including working people 2021 including working people
Altogether 15 195 12 770 14 755 11 969 14 197 11 815
including nd nd nd nd nd nd
 Farmer operators 106 106 119 114 112 112
 Handicrafters, traders and business leaders 626 589 744 676 690 656
 Managers and higher intellectual professions 1 079 1 025 956 909 1 083 1 025
 Intermediate professions 2 878 2 636 3 113 2 751 3 081 2 806
 Employees 4 926 4 155 4 579 3 630 4 180 3 361
 Workers 5 329 4 258 4 838 3 889 4 690 3 855
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2010 2015 2021
Number of unemployed workers 2 502 2 744 2 381
Unemployment rate in % 16,4 18,8 17,0
Unemployment of the 15-24 aged 28,0 40,4 33,6
Unemployment of the 25-54 aged 14,2 16,0 15,2
Unemployment of the 55-64 aged 15,4 14,8 12,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 29,9
BEPC brevet des collèges or DNB 23,4
CAP, BEP or equivalent 16,3
Baccalauréat, brevet professionnel or equivalent 17,3
2 years at university 8,8
3 to 4 years at university 8,5
5 years or more at university 8,5
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2010 2015 2021
Number of jobs in the area 11 037 9 522 9 082
Working age adult living in the area 12 801 11 969 11 868
Occupational concentration by industry 86,2 79,6 76,5
employment rate of 15 years old or above in % 57,8 56,1 54,8
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2010, RP2015 and RP2021, main holdings, place of residence and place of work, geography as of 01/01/2024.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2010 % 2015 % 2021 %
Altogether 11 037 100,0 9 522 100,0 9 082 100,0
Employee 9 997 90,6 8 452 88,8 8 094 89,1
 including women 4 548 41,2 4 385 46,1 4 262 46,9
 including partial time jobs 1 742 15,8 1 680 17,6 1 565 17,2
Non-employee 1 039 9,4 1 070 11,2 988 10,9
 including women 329 3,0 351 3,7 348 3,8
 including partial time jobs 107 1,0 142 1,5 129 1,4
  • Sources : Insee, RP2010, RP2015 and RP2021, main workplaces, geography as of 01/01/2024.

EMP T7 - Employment by socio-economic activity in 2021

EMP T7 - Employment by socio-economic activity in 2021
Socio-economic activity Number %
Altogether 9 255 100,0
Farmer operators 137 1,5
Handicrafters, traders, business leaders 630 6,8
Managers and higher intellectual professions 908 9,8
Intermediate professions 2 172 23,5
Employees 2 787 30,1
Workers 2 621 28,3
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

EMP G3 - Employment by socio-economic activity
2010 2015 2021
Farmer operators 1,1 1,4 1,5
Handicrafters, traders, business leaders 5,4 7,4 6,8
Managers and higher intellectual professions 10,1 9,7 9,8
Intermediate professions 20,9 22,7 23,5
Employees 34,6 31,5 30,1
Workers 27,9 27,5 28,3
  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2010 2015 2021
Number % Number % Number % including women in % including employees %
Altogether 10 825 100,0 9 764 100,0 9 255 100,0 49,9 89,7
Agriculture 254 2,3 262 2,7 243 2,6 38,4 41,4
Industry 1 840 17,0 1 536 15,7 1 521 16,4 27,0 95,5
Construction 1 103 10,2 827 8,5 715 7,7 16,5 71,6
Wholesale and retail trade/transports/accommodations and food service activities 3 478 32,1 3 702 37,9 3 577 38,6 50,7 88,6
Public administration/education/human health/social work 4 151 38,3 3 436 35,2 3 198 34,6 68,2 95,9
  • Sources : Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021
Employees Non-employees
Agriculture 32,7 42,5
Industry 25,5 58,1
Construction 21,1 4,7
Wholesale and retail trade, transports, accommodations and food service activities 51,9 41,6
Public administration, education, human health, social work 68,2 68,8
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

Characteristics of employment in the sense of the census in 2021

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

ACT T1 - Population aged 15 years or over having a job by status in 2021

ACT T1 - Population aged 15 years or over having a job by status in 2021
Employment status Number % of which % part-time of which % women
Altogether 11 865 100,0 17,0 46,3
Employees 10 781 90,9 17,4 47,3
Non-employees 1 084 9,1 13,2 35,9
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021
Employment status and conditions Male % Female %
Altogether 6 376 100 5 489 100
Employees 5 681 89,1 5 100 92,9
 Tenured personnel and open-ended employment contracts 4 832 75,8 4 135 75,3
 Fixed-term employment contracts 379 5,9 645 11,7
 Temporary employment 257 4,0 121 2,2
 Assisted jobs 42 0,7 72 1,3
 Apprentice ship contract - Traineeship 170 2,7 129 2,3
Non-employees 695 10,9 389 7,1
 Independents 337 5,3 240 4,4
 Employers 353 5,5 143 2,6
 Caregivers 5 0,1 6 0,1
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021
Age Male of which% part-time Female of which% part-time
Altogether 5 615 6,4 5 026 28,4
15 to 24 years old 620 18,8 456 31,2
25 to 54 years old 4 194 4,2 3 711 26,8
55 to 64 years old 801 8,8 859 33,7
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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
Sex 2010 2015 2021
Male 5,1 6,9 7,0
Female 32,1 30,7 28,9
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
Work Area 2010 % 2015 % 2021 %
Altogether 12 799 100 11 969 100 11 865 100
working :
in their residential zone 3 675 28,7 3 064 25,6 2 579 21,7
in another zone 9 125 71,3 8 905 74,4 9 286 78,3
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

ACT G2 - Proportion of transports used to go to work in 2021
Mode of transport Percentage
None 4,0
Walking 5,4
Bicycle 0,7
Motorized two-wheeled vehicles 1,0
Car or truck 82,8
Public transports 6,2
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

Births and Deaths of people with usual residence in the area, 2014-2023

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

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 2022 2023
Domiciled deaths 318 318 298 339 293 326 335 371 376 336
Domiciled births 474 474 376 400 350 366 341 367 339 270
  • Source: Insee, civil status statistics in geography as of 01/01/2024.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2024.

Household income and poverty in 2021

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 13 062
Number of people in tax households 30 556
Median disposable income (per consumption unit in euros) 20 880
Share of actually taxed tax households (in %) 45,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Altogether 19,3
Less than 30 years old 28,3
30 to 39 years old 25,6
40 to 49 years old 21,2
50 to 59 years old 17,8
60 to 74 years old 13,6
75 and over 12,8
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Altogether 19,3
Homeowner 8,0
Tenant 38,9
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income share in %
Altogether 100,0
Work income 68,6
including wages 61,9
including unemployment pensions 3,1
including self-employed income 3,6
Retirement pension or annuity 30,5
Capital income (real estate, financial, others) 6,2
Social benefits 8,0
including child benefit 2,8
including income support 3,7
including housing benefit 1,5
Tax –13,3
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 20 880
Inter-decile ratio 3,0
1st decile (in euros) 11 300
9th decile (in euros) 33 750
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

Salaries and earned income in 2022

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022
Altogether Female Male
Altogether 14,7 13,5 15,4
Managerial staff * 24,8 22,4 26,0
Intermediate professions 17,0 15,4 18,1
Employees 11,9 11,7 12,3
Workers 13,2 12,1 13,4
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022
Difference (in%)
Altogether –12,2
Managerial staff * –13,6
Intermediate professions –14,7
Employees –4,7
Workers –9,9
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL T1 - Net average hourly wage (in euros) by age in 2022

SAL T1 - Net average hourly wage (in euros) by age in 2022
Age Altogether Female Male
15 to 25 years old 11,0 10,6 11,3
26 to 50 years old 14,4 13,3 15,1
50 years old or above 16,9 15,3 17,8
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022
Gender pay gap (in%)
15 to 25 years old –5,7
26 to 50 years old –11,8
50 years old or above –13,9
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

Establishment characteristics at the end of 2022

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2022

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2022
Industry sector Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 894 100,0 78 673 71 46 26
Agriculture, forestry and fishing 52 5,8 12 39 1 0 0
Industrial economy 70 7,8 4 37 11 14 4
Building industry 141 15,8 15 112 12 2 0
Trade, transport, various services 451 50,4 41 352 30 19 9
including trade and car repair 154 17,2 12 120 10 6 6
Administration publique, enseignement, santé, action sociale 180 20,1 6 133 17 11 13
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES T2 - Employees by aggregate sector of activity and establishments size at the end of 2022

RES T2 - Employees by aggregate sector of activity and establishments size at the end of 2022
Industry sector Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 7 398 100,0 2 099 937 1 303 1 034 2 025
Agriculture, forestry and fishing 85 1,1 66 19 0 0 0
Industrial economy 1 303 17,6 138 158 403 0 604
Building industry 583 7,9 383 144 56 0 0
Trade, transport, various services 2 673 36,1 1 065 382 499 491 236
including trade and car repair 1 267 17,1 451 121 145 314 236
Administration publique, enseignement, santé, action sociale 2 754 37,2 447 234 345 543 1 185
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2022

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2022
%
General government, education, healthcare, social action 20,1
Trade, transport, various services 50,4
Building industry 15,8
Industrial economy 7,8
Agriculture, forestry and fishing 5,8
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2022

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES G2 - Distribution of active employer establishments by size at the end of 2022

RES G2 - Distribution of active employer establishments by size at the end of 2022
%
50 or more employees 2,9
20 to 49 employees 5,1
10 to 19 employees 7,9
1 to 9 employee(s) 75,3
0 employee 8,7
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES G2 - Distribution of active employer establishments by size at the end of 2022

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2022

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2022
Economic sphere Establishments Employees
Number % Number %
Altogether 894 100,0 7 398 100,0
Productive sphere 254 28,4 2 329 31,5
of which public domain 2 0,2 19 0,3
Presential sphere 640 71,6 5 069 68,5
of which public domain 133 14,9 1 983 26,8
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES T5 - Individual employers at the end of 2022

RES T5 - Individual employers at the end of 2022
Individual employers
Number %
Altogether 1 193 100,0
Employers of childminders 516 43,3
Employers of other employees 677 56,7
  • Scope: private employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

Business and establishment set-ups

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

DEN T1 - Business set-ups by sector of activity in 2023

DEN T1 - Business set-ups by sector of activity in 2023
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 335 79,7 6,6 12,8 0,9
Industry 24 95,8 4,2 0,0 0,0
Construction 46 67,4 8,7 23,9 0,0
Wholesale and retail trade/transports/accommodations and food service activities 110 77,3 5,5 17,3 0,0
Information/communication 13 76,9 15,4 7,7 0,0
Finance and insurance activities 8 0,0 25,0 50,0 25,0
Real estate activities 10 60,0 20,0 10,0 10,0
Professional/scientific/technical activites/administrative and support service activities 65 86,2 6,2 7,7 0,0
Public administration/education/healthcare/social work 18 100,0 0,0 0,0 0,0
Other service activities 41 92,7 2,4 4,9 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2024.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023
Altogether 192 194 164 170 170 173 198 215 202 306 295 335
Sole proprietorship 149 131 110 126 119 128 140 161 144 236 229 267
SARL 40 45 37 25 26 23 21 25 18 18 15 22
SAS 3 18 13 17 22 20 34 27 37 50 48 43
Other societies 0 0 4 2 3 2 3 2 3 2 3 3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T2 - Establishment set-ups by economic sectors in 2023

DEN T2 - Establishment set-ups by economic sectors in 2023
Sector of activity Altogether %
Altogether 339 100,0
Industry 24 7,1
Construction 45 13,3
Wholesale and retail trade/transports/accommodations and food service activities 112 33,0
Information/communication 14 4,1
Finance and insurance activities 9 2,7
Real estate activities 10 2,9
Professional/scientific/technical activites/administrative and support service activities 66 19,5
Public administration/education/healthcare/social work 17 5,0
Other service activities by the number of business creations including free lancers 42 12,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023
Establishment set-ups 227 221 195 185 182 196 211 240 213 328 326 339
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T3 - Number of economically active legal units by economic sector in 2022

DEN T3 - Number of economically active legal units by economic sector in 2022
Sector of activity Number %
Altogether 1 455 100,0
Industry 121 8,3
Construction 249 17,1
Wholesale and retail trade/transports/accommodations and food service activities 394 27,1
Information/communication 33 2,3
Finance and insurance activities 62 4,3
Real estate activities 77 5,3
Professional/scientific/technical activites/administrative and support service activities 187 12,9
Public administration/education/human health/social work 181 12,4
Other service activities 151 10,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T4 - Number of economically active establishments by economic sector in 2022

DEN T4 - Number of economically active establishments by economic sector in 2022
Sector of activity Number %
Altogether 1 648 100,0
Industry 136 8,3
Construction 264 16,0
Wholesale and retail trade/transports/accommodations and food service activities 470 28,5
Information/communication 36 2,2
Finance and insurance activities 78 4,7
Real estate activities 83 5,0
Professional/scientific/technical activites/administrative and support service activities 214 13,0
Public administration/education/human health/social work 209 12,7
Other service activities 158 9,6
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Tourism in 2025

inter-communality metropolis of 7346 du Pays Noyonnais (246000756)

TOU T1 - Number and capacity of hotels on the 1st of January 2025

TOU T1 - Number and capacity of hotels on the 1st of January 2025
Number of stars Hotels Rooms
Altogether 2 88
1 star 0 0
2 stars 1 55
3 stars 1 33
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2024.

TOU T2 - Number and capacity of campsites on the 1st of January 2025

TOU T2 - Number and capacity of campsites on the 1st of January 2025
Number of stars Campsites Pitches
Altogether 3 149
1 star 1 46
2 stars 1 63
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 40
  • Source: Insee, territorial partners in geography as of 01/01/2024.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025
Type of accomodation Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels or sports center 0 0
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2024.

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (Filosofi)

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

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

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

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

All employees databases

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.

Business Demography Information System (SIDE)

The indicators relate to the creation and inventory of businesses and establishments in all non-agricultural productive and market activities. This scope includes financial activities.

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

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

The number of companies or legal entities in year N corresponds to the number of economically active companies or legal entities in 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.

Unique electoral register

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

The scope concerns voters registered on the main electoral list.

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

Géographie

Population censuses 2010, 2015, 2021: dissemination in the municipalities of France outside Mayotte in geography on 2024;

Vital statistics: distribution to all municipalities in France in geography as of 2024;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2024;

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 01/01/2024;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2024;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2024;

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 01/01/2024

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.