données locales

Paru le : 21/02/2023

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

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

Growth and structure of the population in 2019

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

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 33 484 100,0 33 313 100,0 32 593 100,0
0 to 14 years old 6 870 20,5 7 155 21,5 6 725 20,6
15 to 29 years old 6 696 20,0 5 843 17,5 5 265 16,2
30 to 44 years old 6 822 20,4 6 516 19,6 6 011 18,4
45 to 59 years old 6 589 19,7 6 513 19,6 6 469 19,8
60 to 74 years old 4 010 12,0 4 542 13,6 5 372 16,5
75 and over 2 498 7,5 2 744 8,2 2 750 8,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 20,5 21,5 20,6
15 to 29 years old 20,0 17,5 16,2
30 to 44 years old 20,4 19,6 18,4
45 to 59 years old 19,7 19,6 19,8
60 to 74 years old 12,0 13,6 16,5
75 and over 7,5 8,2 8,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 24 993 27 974 29 393 31 421 32 508 33 484 33 313 32 593
Average density (inhab / km²) 93,6 104,8 110,1 117,7 121,8 125,4 124,8 122,1
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 1,6 0,7 0,8 0,4 0,3 –0,1 –0,4
due to the natural balance in % 0,8 0,8 0,8 0,6 0,5 0,4 0,3
due to the apparent balance of inflows and outflows in % 0,8 –0,1 0,1 –0,2 –0,2 –0,5 –0,7
Natality rate (‰) 19,6 17,8 16,8 14,9 14,7 14,3 12,7
Mortality rate (‰) 11,4 9,9 8,9 8,6 9,4 10,0 9,4
  • 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 15 888 100,0 16 705 100,0
0 to 14 years old 3 442 21,7 3 283 19,7
15 to 29 years old 2 696 17,0 2 570 15,4
30 to 44 years old 2 915 18,3 3 096 18,5
45 to 59 years old 3 200 20,1 3 269 19,6
60 to 74 years old 2 597 16,3 2 775 16,6
75 to 89 years old 938 5,9 1 423 8,5
90 years and over 99 0,6 290 1,7
0 to 19 years old 4 514 28,4 4 262 25,5
20 to 64 years old 8 728 54,9 9 012 53,9
65 and over 2 646 16,7 3 431 20,5
  • 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: 32 852 100,0 32 172 100,0
In the same house 29 380 89,4 28 827 89,6
In another house in the same town 898 2,7 971 3,0
In another town 2 574 7,8 2 374 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 36,2 63,8
15 to 24 years old 21,2 78,8
25 to 54 years old 27,2 72,8
55 years old and over 32,5 67,5
  • 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 26 637 100,0 26 209 100,0 25 986 100,0
Farmer operators 182 0,7 107 0,4 121 0,5
Craftsmen, traders, business leaders 676 2,5 709 2,7 766 2,9
Managers and higher intellectual professions 1 073 4,0 926 3,5 1 143 4,4
Middle-level occupations 2 905 10,9 3 160 12,1 3 099 11,9
Services employee 4 881 18,3 4 492 17,1 4 374 16,8
Blue-collar workers 5 439 20,4 5 249 20,0 4 600 17,7
Retirees 6 297 23,6 6 844 26,1 7 003 26,9
Other people with no professional activity 5 184 19,5 4 722 18,0 4 879 18,8
  • 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 12 560 13 425 100,0 100,0 100,0
Farmer operators 105 15 0,0 0,8 0,3
Craftsmen, traders, business leaders 530 236 0,7 4,2 2,2
Managers and higher intellectual professions 683 460 0,6 7,1 2,6
Middle-level occupations 1 409 1 690 5,3 20,2 4,5
Services employee 1 023 3 351 16,1 25,6 6,6
Blue-collar workers 3 764 837 15,0 28,1 6,3
Retirees 3 262 3 741 0,0 0,2 68,4
Other people without professional activity 1 783 3 096 62,3 13,7 9,1
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

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

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 12 740 100,0 13 292 100,0 13 348 100,0 32 119 32 593 31 906
One-person households (male and female) 3 446 27,0 3 917 29,5 4 066 30,5 3 446 3 917 4 066
 Single Male 1 514 11,9 1 596 12,0 1 849 13,9 1 514 1 596 1 849
 Single Female 1 931 15,2 2 321 17,5 2 217 16,6 1 931 2 321 2 217
Other households without families 205 1,6 290 2,2 218 1,6 567 712 497
Family households: 9 089 71,3 9 086 68,4 9 064 67,9 28 106 27 965 27 342
 Couple with no children 3 373 26,5 3 435 25,8 3 606 27,0 6 935 7 036 7 330
 Couple with children 4 513 35,4 4 283 32,2 4 050 30,3 17 855 17 210 16 183
 Single parent 1 204 9,5 1 367 10,3 1 407 10,5 3 317 3 718 3 829
  • 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 3,39 3,20 3,00 2,92 2,71 2,52 2,45 2,38
  • (*) 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 0,6 0,6 1,9
20 to 24 years old 8,0 6,9 10,3
25 to 39 years old 10,7 9,9 9,7
40 to 54 years old 10,3 11,4 12,8
55 to 64 years old 15,2 18,8 19,5
65 to 79 years old 24,3 26,4 24,6
80 and over 46,9 53,1 49,4
  • 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 2,0 2,2 2,2
20 to 24 years old 29,4 34,0 27,1
25 to 39 years old 70,5 70,8 68,9
40 to 54 years old 76,7 74,4 73,5
55 to 64 years old 77,0 72,7 71,2
65 to 79 years old 66,5 65,5 69,3
80 and over 33,6 35,6 34,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 45,1
Civil partnership 3,7
In cohabitation 12,3
Widowed 7,8
Divorced 5,8
Single 25,3
  • 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 13 348 100,0 31 906 100,0
Farmer operators 83 0,6 239 0,7
Craftsmen, traders, business leaders 531 4,0 1 554 4,9
Managers and higher intellectual professions 767 5,7 2 121 6,6
Middle-level occupations 1 829 13,7 5 117 16,0
Services employee 2 297 17,2 5 925 18,6
Blue-collar workers 3 096 23,2 9 068 28,4
Retirees 3 983 29,8 6 349 19,9
Other people with no professional activity 763 5,7 1 533 4,8
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,6
Handicrafters, traders, business leaders 4,0
Managers and higher intellectual professions 5,7
Middle-level occupations 13,7
Services employee 17,2
Blue-collar workers 23,2
Retirees 29,8
Unemployed persons 5,7
  • 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 9 148 100,0 9 152 100,0 9 137 100,0
Couple with children 4 527 49,5 4 286 46,8 4 058 44,4
Single parent 1 237 13,5 1 418 15,5 1 451 15,9
Male single parent 224 2,4 248 2,7 240 2,6
Female single parent 1 014 11,1 1 170 12,8 1 211 13,3
Couple with no children 3 383 37,0 3 448 37,7 3 628 39,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

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

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 9 148 100,0 9 152 100,0 9 137 100,0
No children 3 957 43,3 4 016 43,9 4 365 47,8
1 child 2 165 23,7 2 056 22,5 1 863 20,4
2 children 1 861 20,3 1 917 20,9 1 815 19,9
3 children 819 9,0 805 8,8 742 8,1
4 children and over 345 3,8 358 3,9 351 3,8
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

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

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 8 068 9 474 11 003 11 807 12 856 13 958 14 957 15 282
Main residences 7 168 8 320 9 446 10 426 11 549 12 714 13 302 13 371
Second homes 374 607 815 666 497 360 312 387
Vacant dwellings 526 547 742 715 810 885 1 344 1 524
  • (*) 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 13 958 100,0 14 957 100,0 15 282 100,0
Main residences 12 714 91,1 13 302 88,9 13 371 87,5
Second homes 360 2,6 312 2,1 387 2,5
Vacant dwellings 885 6,3 1 344 9,0 1 524 10,0
Houses 10 279 73,6 10 732 71,8 11 139 72,9
Flats 3 617 25,9 4 026 26,9 3 999 26,2
  • 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 12 714 100,0 13 302 100,0 13 371 100,0
1 room 229 1,8 403 3,0 306 2,3
2 rooms 962 7,6 969 7,3 1 068 8,0
3 rooms 2 569 20,2 2 571 19,3 2 539 19,0
4 rooms 3 624 28,5 3 694 27,8 3 611 27,0
5 rooms and over 5 331 41,9 5 664 42,6 5 848 43,7
  • 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 4,3 4,3 4,3
Houses 4,8 4,8 4,8
Flats 3,1 3,1 3,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 3,7
Non-over-occupied 96,3
  • 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 13 296 100,0
before 1919 1 387 10,4
from 1919 to 1945 2 064 15,5
from 1946 to 1970 3 118 23,4
from 1971 to 1990 3 908 29,4
from 1991 to 2005 1 602 12,0
from 2006 to 2015 1 218 9,2
  • 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 1 291 94
from 1919 to 1945 1 871 192
from 1946 to 1970 1 801 1 247
from 1971 to 1990 2 707 1 173
from 1991 to 2005 1 259 324
from 2006 to 2015 963 251
  • 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 13 371 100,0 31 881 4,3 1,8
Less than 2 years 1 458 10,9 3 300 3,7 1,6
From 2 to 4 years 2 338 17,5 6 140 3,8 1,5
From 5 to 9 years 2 321 17,4 6 454 4,2 1,5
10 years and over 7 254 54,3 15 987 4,7 2,1
  • 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 10,9
From 2 to 4 years 17,5
From 5 to 9 years 17,4
From 10 to 19 years 19,3
From 20 to 29 years 12,5
30 years and over 22,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

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

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 12 714 100,0 13 302 100,0 13 371 100,0 31 881 17,0
Homeowner 7 820 61,5 8 084 60,8 8 198 61,3 19 942 22,2
Tenant 4 504 35,4 4 865 36,6 4 829 36,1 11 239 8,9
(including social sector housing) 2 325 18,3 2 401 18,0 2 517 18,8 5 977 11,5
Housed for free 390 3,1 352 2,6 344 2,6 700 9,1
  • 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 12 714 100,0 13 302 100,0 13 371 100,0
Bathroom including a shower or a bath 12 181 95,8 12 833 96,5 12 973 97,0
Collective central heating 1 260 9,9 1 324 10,0 1 416 10,6
Individual central heating 6 776 53,3 6 531 49,1 6 520 48,8
Individual electric heating 2 807 22,1 3 203 24,1 3 189 23,8
  • 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 12 714 100,0 13 302 100,0 13 371 100,0
At least one parking spot 8 140 64,0 8 237 61,9 8 707 65,1
At least one car 10 647 83,7 10 975 82,5 11 103 83,0
1 car 5 901 46,4 5 934 44,6 5 895 44,1
2 cars and over 4 746 37,3 5 041 37,9 5 208 39,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

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

FOR T1 - Enrollment by age and sex in 2019

FOR T1 - Enrollment by age and sex in 2019
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 1 703 1 279 75,1 75,2 75,0
6 to 10 years old 2 341 2 273 97,1 96,9 97,4
11 to 14 years old 1 893 1 856 98,1 97,9 98,3
15 to 17 years old 1 395 1 310 93,9 90,6 97,2
18 to 24 years old 2 178 680 31,2 27,8 35,1
25 to 29 years old 1 693 58 3,4 4,2 2,7
30 years old and over 20 603 129 0,6 0,5 0,7
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 72,7 71,9 75,1
6 to 10 years old 98,6 98,4 97,1
11 to 14 years old 98,7 98,8 98,1
15 to 17 years old 93,6 94,0 93,9
18 to 24 years old 37,5 32,4 31,2
25 to 29 years old 2,0 2,8 3,4
30 years old and over 0,6 0,5 0,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

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

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

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 23 692 11 400 12 292
Proportion of graduates in percentage
No diploma or primary education certificate 31,4 28,8 33,9
BEPC brevet des collèges or DNB 6,3 5,1 7,3
CAP, BEP or equivalent 29,3 34,5 24,4
Baccalauréat, brevet professionnel or equivalent 15,5 15,1 15,9
2 years at university 8,6 8,0 9,0
3 to 4 years at university 5,4 4,5 6,2
5 years and over at university 3,6 4,0 3,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 38,3 31,4
BEPC brevet des collèges or DNB 6,3 6,3
CAP, BEP or equivalent 26,4 29,3
Baccalauréat, brevet professionnel or equivalent 15,2 15,5
2 years and over at university 13,7 17,5
  • 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

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

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 21 739 20 839 19 791
Labor force in % 70,4 71,1 71,6
 including people in work in % 59,7 57,9 58,5
 including unemployed workers in % 10,7 13,2 13,2
Economically inactive people in % 29,6 28,9 28,4
 including pupils, students or interns in % 8,6 8,2 8,8
 including retirees in % 8,1 8,7 7,4
 including other economically inactive people in % 12,9 12,0 12,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 19 791 14 180 71,6 11 575 58,5
 15 to 24 years old 3 573 1 592 44,6 993 27,8
 25 to 54 years old 12 074 10 551 87,4 8 848 73,3
 55 to 64 years old 4 145 2 037 49,1 1 735 41,9
Male 9 800 7 516 76,7 6 250 63,8
 15 to 24 years old 1 866 933 50,0 594 31,8
 25 to 54 years old 5 963 5 547 93,0 4 767 79,9
 55 to 64 years old 1 971 1 035 52,5 889 45,1
Female 9 991 6 664 66,7 5 326 53,3
 15 to 24 years old 1 707 659 38,6 399 23,4
 25 to 54 years old 6 111 5 004 81,9 4 081 66,8
 55 to 64 years old 2 173 1 002 46,1 846 38,9
  • 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 58,5
Unemployed workers 13,2
Retirees 7,4
Pupils, students or interns 8,8
Other economically inactive people 12,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 15 373 13 098 14 871 12 146 14 277 11 602
including
 Farmer operators 182 182 100 100 100 95
 Handicrafters, traders and business leaders 648 631 698 640 724 653
 Managers and higher intellectual professions 1 070 1 024 917 868 1 106 1 048
 Middle-level occupations 2 885 2 692 3 144 2 801 3 061 2 733
 Services employee 4 867 4 111 4 467 3 606 4 347 3 386
 Blue-collar workers 5 429 4 458 5 220 4 132 4 571 3 687
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 2 327 2 748 2 605
Unemployment rate in % 15,2 18,5 18,4
Unemployment of the 15-24 aged 27,5 37,3 37,6
Unemployment of the 25-54 aged 12,8 15,6 16,1
Unemployment of the 55-64 aged 14,3 15,9 14,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 29,7
BEPC brevet des collèges or DNB 24,6
CAP, BEP or equivalent 17,8
Baccalauréat, brevet professionnel or equivalent 18,4
2 years at university 11,0
3 to 4 years at university 9,3
5 years and over at university 8,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 11 538 9 702 9 300
People in work living in the area 13 054 12 152 11 738
Employment concentration indicator 88,4 79,8 79,2
Activity rate of 15 years old and over in % 57,8 57,0 55,5
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 11 538 100,0 9 702 100,0 9 300 100,0
Employee 10 470 90,7 8 630 89,0 8 273 89,0
 including women 4 696 40,7 4 406 45,4 4 310 46,3
 including part-time workers 1 846 16,0 1 652 17,0 1 643 17,7
Non-employee 1 068 9,3 1 072 11,0 1 028 11,0
 including women 352 3,0 354 3,6 338 3,6
 including part-time workers 91 0,8 125 1,3 141 1,5
  • 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 9 449 100,0
Farmer operators 133 1,4
Handicrafters, traders, business leaders 651 6,9
Managers and higher intellectual professions 976 10,3
Middle-level occupations 2 170 23,0
Services employee 2 942 31,1
Blue-collar workers 2 577 27,3
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 1,5 1,2 1,4
Handicrafters, traders, business leaders 5,4 6,6 6,9
Managers and higher intellectual professions 10,0 9,9 10,3
Middle-level occupations 19,2 23,3 23,0
Services employee 35,2 29,8 31,1
Blue-collar workers 28,8 29,1 27,3
  • 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 11 406 100,0 9 781 100,0 9 449 100,0 49,0 89,3
Agriculture 285 2,5 269 2,8 232 2,5 27,2 40,5
Industry 2 000 17,5 1 671 17,1 1 453 15,4 24,2 96,3
Construction 1 272 11,2 892 9,1 774 8,2 13,5 70,6
Wholesale and retail trade/transports/accommodations and food service activities 3 564 31,2 3 586 36,7 3 689 39,0 49,7 87,8
Public administration/education/healthcare/social work 4 285 37,6 3 363 34,4 3 301 34,9 69,0 95,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 45,6 14,7
Industry 23,8 35,0
Construction 13,4 13,8
Wholesale and retail trade, transports, accommodations and food service activities 51,3 38,4
Public administration, education, healthcare, social work 69,0 68,5
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

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

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

Characteristics of employment in the sense of the census in 2019

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

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 11 738 100,0 18,0 45,9
Employees 10 645 90,7 18,4 47,3
Non-employees 1 093 9,3 13,9 32,5
  • 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 6 345 100 5 394 100
Employees 5 607 88,4 5 038 93,4
 Tenured personnel and open-ended employment contracts 4 752 74,9 4 121 76,4
 Fixed-term employment contracts 390 6,2 631 11,7
 Temporary employment 254 4,0 119 2,2
 Assisted jobs 58 0,9 84 1,5
 Apprentice ship contract - Traineeship 153 2,4 84 1,6
Non-employees 738 11,6 355 6,6
 Independents 342 5,4 191 3,5
 Employers 389 6,1 152 2,8
 Caregivers 7 0,1 12 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 5 554 6,8 4 992 30,5
15 to 24 years old 581 19,4 384 31,2
25 to 54 years old 4 284 4,6 3 837 29,0
55 to 64 years old 689 10,1 771 37,6
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 4,6 6,6 7,1
Female 32,5 31,2 30,9
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 13 052 100 12 151 100 11 738 100
working :
in their residential zone 3 956 30,3 3 019 24,8 2 847 24,3
in another zone 9 096 69,7 9 132 75,2 8 891 75,7
  • 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 6,2
Bicycle 0,9
Motorized two-wheeled vehicles 1,1
Car or truck 80,8
Public transports 6,3
  • 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

inter-communality metropolis of CC 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
Domiciled deaths 298 318 298 339 293 326 335 371
Domiciled births 460 474 376 400 350 366 341 367
  • 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

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

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 13 117
Number of people in tax households 31 067
Median disposable income (per consumption unit in euros) 20 250
Share of actually taxed tax households (in %) 43,6
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV 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 17,9
Less than 30 years old 28,6
30 to 39 years old 22,2
40 to 49 years old 20,6
50 to 59 years old 16,7
60 to 74 years old 12,0
75 and over 10,6
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV 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 17,9
Homeowner 7,4
Tenant 35,8
  • 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 67,2
including wages 60,3
including unemployment pensions 3,6
including self-employed income 3,3
Retirement pension or annuity 30,5
Capital income (real estate, financial, others) 6,4
Social benefits 8,8
including child benefit 3,1
including income support 4,1
including housing benefit 1,6
Tax –12,9
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 20 250
Inter-decile ratio 2,9
1st decile (in euros) 11 200
9th decile (in euros) 32 660
  • 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

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

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

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 14,2 12,9 14,9
Managerial staff* 24,1 21,0 25,4
Middle-level occupations 16,2 14,7 17,2
Services employee 11,4 11,1 11,9
Blue-collar workers 12,7 11,8 12,9
  • * 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 –13,3
Managerial staff* –17,3
Middle-level occupations –14,1
Services employee –6,2
Blue-collar workers –8,8
  • * 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 10,7 10,4 10,9
26 to 50 years old 13,9 12,7 14,5
50 years old or over 16,3 14,5 17,3
  • 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 –5,0
26 to 50 years old –12,1
50 years old and over –16,4
  • 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

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

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 869 100,0 65 668 71 38 27
Agriculture, forestry and fishing 57 6,6 9 47 1 0 0
Industrial economy 72 8,3 2 40 13 12 5
Building industry 132 15,2 11 110 10 1 0
Trade, transport, various services 432 49,7 40 337 31 16 8
including trade and car repair 150 17,3 5 119 13 8 5
Administration publique, enseignement, santé, action sociale 176 20,3 3 134 16 9 14
  • 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 7 249 100,0 2 079 937 1 084 1 177 1 972
Agriculture, forestry and fishing 86 1,2 72 14 0 0 0
Industrial economy 1 338 18,5 127 188 339 54 630
Building industry 530 7,3 375 127 28 0 0
Trade, transport, various services 2 577 35,5 1 042 396 443 454 242
including trade and car repair 1 296 17,9 441 147 200 266 242
Administration publique, enseignement, santé, action sociale 2 718 37,5 463 212 274 669 1 100
  • 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* 20,3
Trade, transport, various services* 49,7
Building industry* 15,2
Industrial economy* 8,3
Agriculture, forestry and fishing* 6,6
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

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

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

RES G2 - Distribution of active employer establishments by size at the end of 2020

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 3,1
20 to 49 employees 4,4
10 to 19 employees 8,2
1 to 9 employee(s) 76,9
0 employee 7,5
  • 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 869 100,0 7 249 100,0
Productive sphere* 253 29,1 2 247 31,0
of which public domain* 0 0,0 0 0,0
Presential sphere 616 70,9 5 002 69,0
of which public domain* 131 15,1 2 004 27,6
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 1 226 100,0
Employers of childminders 558 45,5
Employers of other employees 668 54,5
  • 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

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

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 262 100,0 192 73,3
Industry 19 7,3 19 100,0
Construction 49 18,7 22 44,9
Wholesale and retail trade/transports/accommodations and food service activities 77 29,4 56 72,7
Information/communication 7 2,7 5 71,4
Finance and insurance activities 5 1,9 0 0,0
Real estate activities 4 1,5 3 75,0
Professional/scientific/technical activites/administrative and support service activities 40 15,3 35 87,5
Public administration/education/healthcare/social work 21 8,0 19 90,5
Other service activities 40 15,3 33 82,5
  • 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 202 205 159 148 145 146 166 192 173 262
Sole proprietorship 152 135 100 106 95 98 110 138 123 192
  • 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 1 570 100,0
Industry 124 7,9
Construction 333 21,2
Wholesale and retail trade/transports/accommodations and food service activities 482 30,7
Information/communication 28 1,8
Finance and insurance activities 36 2,3
Real estate activities 53 3,4
Professional/scientific/technical activites/administrative and support service activities 209 13,3
Public administration/education/human health/social work 164 10,4
Other service activities 141 9,0
  • 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 292 100,0
Industry 22 7,5
Construction 53 18,2
Wholesale and retail trade/transports/accommodations and food service activities 88 30,1
Information/communication 9 3,1
Finance and insurance activities 5 1,7
Real estate activities 8 2,7
Professional/scientific/technical activites/administrative and support service activities 45 15,4
Public administration/education/healthcare/social work 22 7,5
Other service activities by the number of business creations including free lancers 40 13,7
  • 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 223 227 179 168 165 165 183 211 186 292
  • 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 1 794 100,0
Industry 147 8,2
Construction 343 19,1
Wholesale and retail trade/transports/accommodations and food service activities 576 32,1
Information/communication 33 1,8
Finance and insurance activities 54 3,0
Real estate activities 62 3,5
Professional/scientific/technical activites/administrative and support service activities 236 13,2
Public administration/education/human health/social work 193 10,8
Other service activities 150 8,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

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

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

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 2 89
1 star 0 0
2 stars 1 55
3 stars 1 34
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

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

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

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.