données locales

Paru le : 21/02/2023

Full set of local data inter-communality metropolis of CC de la Champagne Picarde (240200576)

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

Growth and structure of the population in 2019

inter-communality metropolis of CC de la Champagne Picarde (240200576)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 20 262 100,0 20 940 100,0 20 820 100,0
0 to 14 years old 4 331 21,4 4 425 21,1 4 177 20,1
15 to 29 years old 3 316 16,4 3 264 15,6 3 110 14,9
30 to 44 years old 4 490 22,2 4 429 21,2 4 136 19,9
45 to 59 years old 4 215 20,8 4 335 20,7 4 376 21,0
60 to 74 years old 2 373 11,7 2 876 13,7 3 475 16,7
75 and over 1 537 7,6 1 610 7,7 1 546 7,4
  • 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 21,4 21,1 20,1
15 to 29 years old 16,4 15,6 14,9
30 to 44 years old 22,2 21,2 19,9
45 to 59 years old 20,8 20,7 21,0
60 to 74 years old 11,7 13,7 16,7
75 and over 7,6 7,7 7,4
  • 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 18 265 17 928 18 479 19 143 19 509 20 262 20 940 20 820
Average density (inhab / km²) 31,6 31,0 32,0 33,1 33,7 35,0 36,2 36,0
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % –0,3 0,4 0,4 0,2 0,4 0,7 –0,1
due to the natural balance in % 0,5 0,4 0,3 0,3 0,5 0,5 0,3
due to the apparent balance of inflows and outflows in % –0,8 0,0 0,1 –0,1 –0,1 0,2 –0,4
Natality rate (‰) 16,8 15,0 13,9 12,6 12,9 13,2 11,3
Mortality rate (‰) 11,6 11,1 10,8 9,1 8,0 8,1 8,4
  • 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 10 433 100,0 10 387 100,0
0 to 14 years old 2 101 20,1 2 076 20,0
15 to 29 years old 1 662 15,9 1 448 13,9
30 to 44 years old 2 098 20,1 2 038 19,6
45 to 59 years old 2 253 21,6 2 122 20,4
60 to 74 years old 1 733 16,6 1 742 16,8
75 to 89 years old 547 5,2 828 8,0
90 years and over 39 0,4 133 1,3
0 to 19 years old 2 755 26,4 2 622 25,2
20 to 64 years old 6 043 57,9 5 718 55,0
65 and over 1 634 15,7 2 048 19,7
  • 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: 20 651 100,0 20 574 100,0
In the same house 18 521 89,7 18 671 90,7
In another house in the same town 482 2,3 367 1,8
In another town 1 648 8,0 1 536 7,5
  • 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 %

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 24,5 75,5
15 to 24 years old 15,4 84,6
25 to 54 years old 18,8 81,2
55 years old and over 14,1 85,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 15 950 100,0 16 595 100,0 16 885 100,0
Farmer operators 340 2,1 267 1,6 247 1,5
Craftsmen, traders, business leaders 479 3,0 481 2,9 537 3,2
Managers and higher intellectual professions 717 4,5 726 4,4 815 4,8
Middle-level occupations 2 010 12,6 2 103 12,7 2 258 13,4
Services employee 2 853 17,9 3 311 19,9 3 178 18,8
Blue-collar workers 2 988 18,7 3 090 18,6 2 986 17,7
Retirees 3 893 24,4 4 426 26,7 4 343 25,7
Other people with no professional activity 2 672 16,7 2 192 13,2 2 520 14,9
  • 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 8 366 8 519 100,0 100,0 100,0
Farmer operators 181 66 0,0 1,3 2,2
Craftsmen, traders, business leaders 386 151 0,2 5,7 1,2
Managers and higher intellectual professions 473 342 2,2 8,3 1,7
Middle-level occupations 1 110 1 147 5,7 22,8 4,8
Services employee 893 2 285 14,0 28,4 9,1
Blue-collar workers 2 364 622 19,6 25,0 8,4
Retirees 2 059 2 284 0,0 0,2 64,7
Other people without professional activity 898 1 622 58,2 8,4 7,9
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

inter-communality metropolis of CC de la Champagne Picarde (240200576)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 7 896 100,0 8 302 100,0 8 516 100,0 20 005 20 517 20 389
One-person households (male and female) 1 882 23,8 2 050 24,7 2 330 27,4 1 882 2 050 2 330
 Single Male 788 10,0 751 9,0 1 004 11,8 788 751 1 004
 Single Female 1 094 13,9 1 299 15,7 1 326 15,6 1 094 1 299 1 326
Other households without families 172 2,2 142 1,7 101 1,2 462 350 232
Family households: 5 842 74,0 6 109 73,6 6 085 71,5 17 660 18 117 17 827
 Couple with no children 2 351 29,8 2 592 31,2 2 692 31,6 4 803 5 274 5 554
 Couple with children 2 957 37,4 2 945 35,5 2 779 32,6 11 487 11 343 10 688
 Single parent 534 6,8 573 6,9 614 7,2 1 370 1 501 1 586
  • 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 3,33 3,12 2,95 2,85 2,71 2,53 2,48 2,40
  • (*) 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 0,1 0,2 0,4
20 to 24 years old 5,2 4,6 6,1
25 to 39 years old 5,9 5,6 6,7
40 to 54 years old 8,4 8,6 9,8
55 to 64 years old 13,6 15,1 16,7
65 to 79 years old 27,3 24,5 23,9
80 and over 46,9 48,9 52,5
  • 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 1,5 1,4
20 to 24 years old 34,0 37,6 30,6
25 to 39 years old 82,1 80,9 80,2
40 to 54 years old 80,6 80,5 79,4
55 to 64 years old 79,8 78,5 76,7
65 to 79 years old 66,3 68,9 71,8
80 and over 41,3 38,9 37,6
  • 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 47,9
Civil partnership 6,3
In cohabitation 13,6
Widowed 7,0
Divorced 4,5
Single 20,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

FAM T2 - Households by socioprofessional classification of the reference person in 2019

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 8 516 100,0 20 389 100,0
Farmer operators 182 2,1 387 1,9
Craftsmen, traders, business leaders 341 4,0 1 002 4,9
Managers and higher intellectual professions 449 5,3 1 292 6,3
Middle-level occupations 1 271 14,9 3 627 17,8
Services employee 1 553 18,2 4 402 21,6
Blue-collar workers 1 901 22,3 5 272 25,9
Retirees 2 566 30,1 3 997 19,6
Other people with no professional activity 253 3,0 409 2,0
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 2,1
Handicrafters, traders, business leaders 4,0
Managers and higher intellectual professions 5,3
Middle-level occupations 14,9
Services employee 18,2
Blue-collar workers 22,3
Retirees 30,1
Unemployed persons 3,0
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 5 866 100,0 6 135 100,0 6 120 100,0
Couple with children 2 957 50,4 2 949 48,1 2 789 45,6
Single parent 538 9,2 594 9,7 634 10,4
Male single parent 113 1,9 122 2,0 140 2,3
Female single parent 425 7,2 472 7,7 493 8,1
Couple with no children 2 372 40,4 2 592 42,2 2 697 44,1
  • 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 5 866 100,0 6 135 100,0 6 120 100,0
No children 2 687 45,8 2 896 47,2 2 994 48,9
1 child 1 297 22,1 1 381 22,5 1 261 20,6
2 children 1 265 21,6 1 282 20,9 1 340 21,9
3 children 485 8,3 449 7,3 422 6,9
4 children and over 132 2,3 127 2,1 103 1,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

inter-communality metropolis of CC de la Champagne Picarde (240200576)

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 6 352 6 899 7 455 7 835 8 112 8 852 9 343 9 705
Main residences 5 347 5 613 6 113 6 563 7 101 7 889 8 261 8 496
Second homes 441 599 743 690 524 402 319 278
Vacant dwellings 564 687 599 582 487 561 762 930
  • (*) 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 8 852 100,0 9 343 100,0 9 705 100,0
Main residences 7 889 89,1 8 261 88,4 8 496 87,6
Second homes 402 4,5 319 3,4 278 2,9
Vacant dwellings 561 6,3 762 8,2 930 9,6
Houses 8 224 92,9 8 690 93,0 9 066 93,4
Flats 585 6,6 626 6,7 623 6,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 7 889 100,0 8 261 100,0 8 496 100,0
1 room 86 1,1 39 0,5 45 0,5
2 rooms 312 4,0 323 3,9 324 3,8
3 rooms 970 12,3 1 013 12,3 997 11,7
4 rooms 2 077 26,3 2 120 25,7 2 194 25,8
5 rooms and over 4 445 56,3 4 766 57,7 4 936 58,1
  • 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 4,8 4,9 4,9
Houses 5,0 5,0 5,0
Flats 3,1 3,2 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 1,1
Non-over-occupied 98,9
  • 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 8 404 100,0
before 1919 1 493 17,8
from 1919 to 1945 1 791 21,3
from 1946 to 1970 1 356 16,1
from 1971 to 1990 1 865 22,2
from 1991 to 2005 976 11,6
from 2006 to 2015 922 11,0
  • 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 1 460 31
from 1919 to 1945 1 718 69
from 1946 to 1970 1 210 145
from 1971 to 1990 1 732 131
from 1991 to 2005 894 80
from 2006 to 2015 875 45
  • 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 8 496 100,0 20 365 4,9 2,0
Less than 2 years 757 8,9 1 898 4,4 1,8
From 2 to 4 years 1 329 15,6 3 486 4,5 1,7
From 5 to 9 years 1 365 16,1 3 898 4,9 1,7
10 years and over 5 045 59,4 11 084 5,1 2,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 8,9
From 2 to 4 years 15,6
From 5 to 9 years 16,1
From 10 to 19 years 20,4
From 20 to 29 years 13,3
30 years and over 25,7
  • 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 7 889 100,0 8 261 100,0 8 496 100,0 20 365 18,6
Homeowner 5 817 73,7 6 154 74,5 6 352 74,8 15 207 21,9
Tenant 1 912 24,2 1 959 23,7 2 009 23,6 4 897 8,5
(including social sector housing) 466 5,9 499 6,0 501 5,9 1 067 10,1
Housed for free 161 2,0 148 1,8 136 1,6 261 15,7
  • 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 7 889 100,0 8 261 100,0 8 496 100,0
Bathroom including a shower or a bath 7 608 96,4 7 850 95,0 8 302 97,7
Collective central heating 282 3,6 163 2,0 147 1,7
Individual central heating 3 877 49,1 3 590 43,5 3 635 42,8
Individual electric heating 1 857 23,5 2 265 27,4 2 454 28,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2008 % 2013 % 2019 %
Altogether 7 889 100,0 8 261 100,0 8 496 100,0
At least one parking spot 5 680 72,0 5 986 72,5 6 277 73,9
At least one car 6 902 87,5 7 328 88,7 7 689 90,5
1 car 3 391 43,0 3 417 41,4 3 478 40,9
2 cars and over 3 511 44,5 3 911 47,3 4 211 49,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

inter-communality metropolis of CC de la Champagne Picarde (240200576)

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 1 048 790 75,4 76,1 74,8
6 to 10 years old 1 480 1 454 98,3 98,0 98,5
11 to 14 years old 1 173 1 151 98,1 98,2 98,0
15 to 17 years old 810 764 94,4 92,7 96,3
18 to 24 years old 1 209 422 34,9 32,5 38,0
25 to 29 years old 1 091 21 1,9 1,9 1,9
30 years old and over 13 532 59 0,4 0,3 0,6
  • 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 75,4 70,4 75,4
6 to 10 years old 98,6 98,9 98,3
11 to 14 years old 99,1 98,9 98,1
15 to 17 years old 96,1 95,8 94,4
18 to 24 years old 36,8 31,4 34,9
25 to 29 years old 1,8 1,7 1,9
30 years old and over 0,6 0,4 0,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

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

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

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 15 377 7 683 7 694
Proportion of graduates in percentage
No diploma or primary education certificate 24,9 21,2 28,5
BEPC brevet des collèges or DNB 5,8 4,6 7,0
CAP, BEP or equivalent 31,3 38,3 24,2
Baccalauréat, brevet professionnel or equivalent 17,9 17,7 18,0
2 years at university 10,2 9,4 11,0
3 to 4 years at university 6,2 5,1 7,3
5 years and over at university 3,8 3,7 3,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 36,0 24,9
BEPC brevet des collèges or DNB 6,7 5,8
CAP, BEP or equivalent 27,5 31,3
Baccalauréat, brevet professionnel or equivalent 15,2 17,9
2 years and over at university 14,6 20,2
  • 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 de la Champagne Picarde (240200576)

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 12 990 13 350 12 961
Labor force in % 73,5 75,6 76,7
 including people in work in % 64,9 66,3 67,5
 including unemployed workers in % 8,6 9,2 9,1
Economically inactive people in % 26,5 24,4 23,3
 including pupils, students or interns in % 8,1 7,0 7,6
 including retirees in % 8,7 8,9 7,4
 including other economically inactive people in % 9,7 8,5 8,3
  • 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 12 961 9 935 76,7 8 753 67,5
 15 to 24 years old 2 019 917 45,4 652 32,3
 25 to 54 years old 8 172 7 532 92,2 6 778 82,9
 55 to 64 years old 2 769 1 485 53,6 1 323 47,8
Male 6 697 5 376 80,3 4 814 71,9
 15 to 24 years old 1 100 566 51,5 420 38,1
 25 to 54 years old 4 183 4 026 96,2 3 688 88,2
 55 to 64 years old 1 414 785 55,5 706 49,9
Female 6 264 4 558 72,8 3 940 62,9
 15 to 24 years old 919 351 38,2 232 25,2
 25 to 54 years old 3 989 3 507 87,9 3 090 77,5
 55 to 64 years old 1 355 701 51,7 618 45,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 67,5
Unemployed workers 9,1
Retirees 7,4
Pupils, students or interns 7,6
Other economically inactive people 8,3
  • 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 9 442 8 348 10 024 8 725 10 058 8 784
including
 Farmer operators 316 312 259 254 217 217
 Handicrafters, traders and business leaders 467 414 481 434 526 482
 Managers and higher intellectual professions 709 693 714 684 790 764
 Middle-level occupations 2 006 1 898 2 103 1 944 2 237 2 086
 Services employee 2 848 2 542 3 293 2 885 3 148 2 756
 Blue-collar workers 2 968 2 489 3 081 2 525 2 976 2 479
  • 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 1 111 1 234 1 182
Unemployment rate in % 11,6 12,2 11,9
Unemployment of the 15-24 aged 26,7 28,4 28,9
Unemployment of the 25-54 aged 10,0 10,3 10,0
Unemployment of the 55-64 aged 8,7 10,4 10,9
  • 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 22,2
BEPC brevet des collèges or DNB 14,9
CAP, BEP or equivalent 13,8
Baccalauréat, brevet professionnel or equivalent 10,2
2 years at university 6,3
3 to 4 years at university 4,2
5 years and over at university 6,2
  • 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 5 336 5 528 5 319
People in work living in the area 8 498 8 916 8 844
Employment concentration indicator 62,8 62,0 60,1
Activity rate of 15 years old and over in % 60,3 61,5 60,2
  • 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 5 336 100,0 5 528 100,0 5 319 100,0
Employee 4 550 85,3 4 687 84,8 4 562 85,8
 including women 2 001 37,5 2 025 36,6 1 982 37,3
 including part-time workers 853 16,0 896 16,2 852 16,0
Non-employee 787 14,7 840 15,2 757 14,2
 including women 214 4,0 247 4,5 245 4,6
 including part-time workers 67 1,3 72 1,3 85 1,6
  • 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 5 484 100,0
Farmer operators 254 4,6
Handicrafters, traders, business leaders 319 5,8
Managers and higher intellectual professions 384 7,0
Middle-level occupations 1 068 19,5
Services employee 1 839 33,5
Blue-collar workers 1 620 29,5
  • 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 6,3 4,9 4,6
Handicrafters, traders, business leaders 6,0 6,0 5,8
Managers and higher intellectual professions 5,5 6,2 7,0
Middle-level occupations 18,6 19,0 19,5
Services employee 32,0 32,6 33,5
Blue-collar workers 31,7 31,3 29,5
  • 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 5 244 100,0 5 565 100,0 5 484 100,0 44,9 87,6
Agriculture 553 10,5 468 8,4 436 8,0 29,6 42,9
Industry 775 14,8 840 15,1 794 14,5 39,2 93,9
Construction 465 8,9 487 8,8 444 8,1 2,3 70,0
Wholesale and retail trade/transports/accommodations and food service activities 1 391 26,5 1 297 23,3 1 235 22,5 47,6 83,6
Public administration/education/healthcare/social work 2 060 39,3 2 473 44,4 2 574 46,9 55,2 98,2
  • 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 24,7 33,3
Industry 39,1 40,9
Construction 3,3 0,0
Wholesale and retail trade, transports, accommodations and food service activities 48,1 44,9
Public administration, education, healthcare, social work 54,9 75,4
  • 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 de la Champagne Picarde (240200576)

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 8 843 100,0 16,6 45,0
Employees 7 898 89,3 17,1 46,3
Non-employees 944 10,7 11,9 34,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 4 865 100 3 977 100
Employees 4 244 87,2 3 654 91,9
 Tenured personnel and open-ended employment contracts 3 567 73,3 3 149 79,2
 Fixed-term employment contracts 415 8,5 360 9,1
 Temporary employment 105 2,2 56 1,4
 Assisted jobs 33 0,7 49 1,2
 Apprentice ship contract - Traineeship 124 2,6 39 1,0
Non-employees 621 12,8 323 8,1
 Independents 313 6,4 207 5,2
 Employers 305 6,3 108 2,7
 Caregivers 3 0,1 8 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 4 221 5,3 3 635 30,2
15 to 24 years old 410 13,2 228 39,6
25 to 54 years old 3 246 3,6 2 859 27,7
55 to 64 years old 566 9,7 547 39,4
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 5,2 6,1 5,7
Female 32,2 33,2 30,4
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 8 494 100 8 914 100 8 843 100
working :
in their residential zone 2 164 25,5 2 179 24,4 1 940 21,9
in another zone 6 330 74,5 6 735 75,6 6 903 78,1
  • 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 6,5
Walking 5,0
Bicycle 1,0
Motorized two-wheeled vehicles 0,7
Car or truck 84,3
Public transports 2,4
  • 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 de la Champagne Picarde (240200576)

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 192 177 151 171 181 182 193 198
Domiciled births 270 273 231 207 199 198 210 226
  • 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 de la Champagne Picarde (240200576)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 8 428
Number of people in tax households 20 277
Median disposable income (per consumption unit in euros) 21 320
Share of actually taxed tax households (in %) 44,2
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV 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 11,8
Less than 30 years old
30 to 39 years old 14,2
40 to 49 years old 12,6
50 to 59 years old 11,5
60 to 74 years old 8,8
75 and over
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 11,8
Homeowner 7,0
Tenant 25,9
  • 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 G2 - Poverty rate by tenure of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 71,9
including wages 63,5
including unemployment pensions 2,9
including self-employed income 5,5
Retirement pension or annuity 28,1
Capital income (real estate, financial, others) 7,1
Social benefits 6,2
including child benefit 2,6
including income support 2,6
including housing benefit 1,0
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 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 21 320
Inter-decile ratio 2,6
1st decile (in euros) 12 880
9th decile (in euros) 34 060
  • 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 de la Champagne Picarde (240200576)

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 14,0 12,8 14,8
Managerial staff* 23,7 21,2 24,8
Middle-level occupations 15,8 14,6 16,6
Services employee 11,2 11,0 11,8
Blue-collar workers 12,1 10,6 12,4
  • * 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 –13,6
Managerial staff* –14,5
Middle-level occupations –12,4
Services employee –6,3
Blue-collar workers –14,3
  • * 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 10,3 10,2 10,3
26 to 50 years old 13,9 12,8 14,6
50 years old or over 15,7 13,7 16,9
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –1,3
26 to 50 years old –12,3
50 years old and over –19,0
  • 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 de la Champagne Picarde (240200576)

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1P - 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 or more employees
Altogether 549 100,0 54 425 70
Agriculture, forestry and fishing* 118 21,5 25 92 1
Industrial economy* 31 5,6 1 20 10
Building industry* 82 14,9 6 66 10
Trade, transport, various services* 195 35,5 20 154 21
including trade and car repair 53 9,7 4 36 13
Administration publique, enseignement, santé, action sociale 123 22,4 2 93 28
  • 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 T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020
Total % 1 to 9 employee(s) 10 or more employees
Altogether 3 429 100,0 1 141 2 288
Agriculture, forestry and fishing 190 5,5 174 16
Industrial economy 562 16,4 69 493
Building industry 411 12,0 180 231
Trade, transport, various services 824 24,0 385 439
including trade and car repair 383 11,2 95 288
Administration publique, enseignement, santé, action sociale 1 442 42,1 333 1 109
  • 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* 22,4
Trade, transport, various services* 35,5
Building industry* 14,9
Industrial economy* 5,6
Agriculture, forestry and fishing* 21,5
  • 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 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 G2P - Distribution of active employer establishments by size at the end of 2020

RES G2P - Distribution of active employer establishments by size at the end of 2020
%
10 or more employees 12,8
1 to 10 employee(s) 77,4
0 employee 9,8
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2P - 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 549 100,0 3 429 100,0
Productive sphere* 229 41,7 1 092 31,8
of which public domain* 0 0,0 0 0,0
Presential sphere 320 58,3 2 337 68,2
of which public domain* 88 16,0 991 28,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 1 200 100,0
Employers of childminders 680 56,7
Employers of other employees 520 43,3
  • 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 de la Champagne Picarde (240200576)

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 132 100,0 114 86,4
Industry 8 6,1 7 87,5
Construction 15 11,4 11 73,3
Wholesale and retail trade/transports/accommodations and food service activities 34 25,8 29 85,3
Information/communication 3 2,3 2 66,7
Finance and insurance activities 2 1,5 1 50,0
Real estate activities 0 0,0 0
Professional/scientific/technical activites/administrative and support service activities 28 21,2 24 85,7
Public administration/education/healthcare/social work 14 10,6 13 92,9
Other service activities 28 21,2 27 96,4
  • 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 124 104 97 85 69 100 109 115 116 132
Sole proprietorship 104 84 82 66 54 74 84 88 88 114
  • 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 893 100,0
Industry 77 8,6
Construction 171 19,1
Wholesale and retail trade/transports/accommodations and food service activities 217 24,3
Information/communication 20 2,2
Finance and insurance activities 26 2,9
Real estate activities 51 5,7
Professional/scientific/technical activites/administrative and support service activities 151 16,9
Public administration/education/human health/social work 87 9,7
Other service activities 93 10,4
  • 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 149 100,0
Industry 15 10,1
Construction 16 10,7
Wholesale and retail trade/transports/accommodations and food service activities 35 23,5
Information/communication 4 2,7
Finance and insurance activities 2 1,3
Real estate activities 1 0,7
Professional/scientific/technical activites/administrative and support service activities 30 20,1
Public administration/education/healthcare/social work 16 10,7
Other service activities by the number of business creations including free lancers 30 20,1
  • 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 134 113 105 99 79 110 119 127 129 149
  • 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 996 100,0
Industry 99 9,9
Construction 178 17,9
Wholesale and retail trade/transports/accommodations and food service activities 257 25,8
Information/communication 21 2,1
Finance and insurance activities 29 2,9
Real estate activities 58 5,8
Professional/scientific/technical activites/administrative and support service activities 161 16,2
Public administration/education/human health/social work 94 9,4
Other service activities 99 9,9
  • 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 de la Champagne Picarde (240200576)

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 4 57
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 1 26
5 stars 0 0
Non-ranked 3 31
  • Source: Insee, territorial partners in geography as of 01/01/2022.

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

TOU T2 - Number and capacity of campsites on the 1st of January 2023
Campsites Pitch
Altogether 1 110
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 1 110
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2022.

Définitions

Declarative judgments of birth: Any birth occurring on French territory must be the subject of a declaration to the Civil register within three days of giving birth, giving rise to an act. If this declaration has not been made within this legal period, it is the subject of a declaration of birth giving rise to a transcription in the civil status registers.

Declarations of death: When death is insured but the body could not be found (plane crash, disappearance at sea ...), a declaratory judgment of death is drawn up which results in transcription on the civil status registers.

Tax household: Household made up of the grouping of tax households listed in the same dwelling. Its existence in a given year is due to the fact that at least an independent declaration of income coincides with the occupation of a dwelling known to the Housing Tax. Households made up of people who do not have their fiscal independence (mainly students) are counted in households where they declare their income even if they occupy independent accommodation.

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

Market activity: The activity of a company is qualified as market if its operating expenses are normally covered for more than 50 % through the sale of its production. The activity of an establishment is market if this establishment contributes essentially to the production of a good or service considered to be market, either by nature or because its selling price exceeds 50 % of its production costs.

Public domain: An establishment belongs to this area if it is part of a legal category 7 enterprise (legal person or body subject to administrative law) or if more than half of its workforce is part of the State civil service.

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

Champ

Population censuses

The data are offered to users in particular for comparing municipalities, grouping variable categories or obtaining results on personalized sets of municipalities.

Derived from calculations linked to sampling techniques, the data in terms of numbers are provided with several decimal places; these must be used for all calculations carried out, in order to avoid rounding errors.

For more information on the population census, consult the page of presentation of the population census.

The data come either from the main farm (princ.) or from the complementary farm (compl).

For more methodological information, you can consult the sheets "Tips on using census results".

These sheets present the characteristics of the population census and deal with their consequences on the use of the data. They specify in particular the changes affecting the main statistical variables and their comparability with previous censuses.

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

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

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

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

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

All employees databases

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units and the creation of businesses and establishments of all non-agricultural market activities. This field includes financial activities.

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

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

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

Pay and salaried employment localized file (Flores)

The Flores system (Pay and salaried employment localized file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments which ceased their activity during the year.

The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.

Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.

The Flores device succeeds Clap, whose last vintage described the year 2015. The results from Flores and Clap are not comparable, and therefore should not be the subject of evolving comparative analyzes.

Specifically:

-Clap covered all active establishments, employers and non-employers. The number of establishments with zero staff at the end of the year was therefore much higher in Clap, because of this difference in field.

- Conversely, Clap only counted so-called non-ancillary jobs, that is to say those exceeding a certain threshold of remuneration and / or duration. This restriction has been removed in Flores, which counts all workstations.

Hotel occupancy survey

The scope covers tourist hotels, classified or not, with more than 5 bedrooms and campsites with more than 10 pitches, classified or not, including residential campsites. It also covers other collective tourist accommodation.

Statistics on the accommodation offer are established in conjunction with the regional tourism committees (CRT) and the general management of enterprises (DGE). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel business relate to the campsites offering sites for transient customers intended for tourists who do not choose to live there as well. only on campsites offering pitches rented year-round, that is to say to a single customer for the entire period when the campsite is open.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France. The distribution by star is not available for the 2013 vintage for hotels, because the classification being paid, the distribution by star was not significant.

The information on other collective accommodation in the overseas departments is of lower quality. Since 2018, the field concerning other collective accommodation in the overseas departments has been deleted. The workforce from other collective accommodation has been transferred to hotels.

Géographie

Population censuses 2008, 2013, 2019: dissemination in the municipalities of France outside Mayotte in geography on 01/01/2022;

Vital statistics: distribution to all municipalities in France in geography as of 01/01/2022;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2022;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2022;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2022;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2022

Release threshold for the population census

The population census makes it possible to know the diversity and evolution of the population of France. Insee thus provides statistics on inhabitants and dwellings, their number and their characteristics: distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc.

Data from additional census holdings are not disseminated for areas less than 2 000 inhabitants. In addition, numbers below 200 should be handled with care, as it cannot be significant.

Particularity of Civil register data

The data, for the municipalities of Paris (75056), Lyon (69123) and Marseille (13055), are presented for the entire municipality and for each municipal district.

For these municipalities, the municipal district of the domicile is not systematically informed about the statistical bulletin. Births are therefore only counted in the database at the level of the municipality and not of the municipal district. The sum of births in the arrondissements of Lyon (Marseille and Paris respectively) is therefore not always equal to the number of births in the municipality of Lyon (Marseille and Paris respectively).

Dissemination threshold and statistical confidentiality of the Localized Social and Fiscal File (FiLoSoFi)

Data from FiLoSoFi are subject to statistical confidentiality. No statistics are disseminated on very small areas (less than 50 households and less than 100 people).

Three indicators (median standard of living, counts in number of households and number of people) are proposed for areas with more than 50 households or more than 100 people.

In the largest areas (more than 1,000 households or more than 2 000 people), all indicators are generally offered. They are also disseminated on the sub-populations associated with a socio-demographic criterion (for example under 30 years) having a minimum number of at least 200 people and at least 11 households.

Poverty rates are disseminated for areas with more than 1,000 households or more than 2 000 ppeople in which there are at least 200 people and 11 poor households, as well as at least 200 people and 11 households above the poverty line.

They are distributed to sub-populations associated with a socio-demographic criterion (for example under 30s) with a minimum workforce of at least 200 people. and at least 11 poor households and at least 200 people and at least 11 households above the poverty line.

When the rates are in the ranges [0; 5] and [95; 100], the exact value is not displayed, it is replaced by the values ​​5 % and 95 % respectively.

The components of disposable income are disseminated over areas over 1 000 households or more than 2 000 people, provided that for each of the income components there are at least 11 households for which the component is non-zero.

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

Warning on the nature of municipal data and their use for the localized file of remunerations and salaried employment (Flores)

INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should focus on areas "of sufficient size" (several thousand salaried positions), in order to limit errors that could be due to occasional erroneous declarations by certain establishments.

Status of municipal data from Flores differs in particular from that of Employment Estimates, which are subject to full validation by experts and which are disseminated at a more aggregate level (department and employment area at the finest). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.