données locales

Paru le : 08/10/2024

Full set of local data Living zone 2022 of Wassy (52550)

Detailed figures
Paru le :Paru le08/10/2024
- October 2024

The presented data are disseminated using 2023 or 2024 geography, depending on the source. For reasons of statistical confidentiality, some indicators may not be provided.

Growth and structure of the population in 2021

Living zone 2022 of Wassy (52550)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2010 % 2015 % 2021 %
Altogether 7 923 100,0 7 818 100,0 7 507 100,0
0 to 14 years old 1 454 18,4 1 402 17,9 1 315 17,5
15 to 29 years old 1 209 15,3 1 144 14,6 1 100 14,7
30 to 44 years old 1 481 18,7 1 332 17,0 1 206 16,1
45 to 59 years old 1 796 22,7 1 713 21,9 1 490 19,8
60 to 74 years old 1 160 14,6 1 392 17,8 1 584 21,1
75 and over 823 10,4 835 10,7 813 10,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2010 2015 2021
0 to 14 years old 18,4 17,9 17,5
15 to 29 years old 15,3 14,6 14,7
30 to 44 years old 18,7 17,0 16,1
45 to 59 years old 22,7 21,9 19,8
60 to 74 years old 14,6 17,8 21,1
75 and over 10,4 10,7 10,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

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

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Population 9 186 8 729 8 798 8 555 8 340 7 923 7 818 7 507
Average density (inhab / km²) 38,6 36,7 37,0 36,0 35,1 33,3 32,9 31,6
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024.
  • Sources: Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2010 2010 to 2015 2015 to 2021
Average annual change in population in % –0,7 0,1 –0,3 –0,3 –0,5 –0,3 –0,7
due to the natural balance in % 0,5 0,1 0,1 –0,1 –0,2 –0,2 –0,5
due to the apparent balance of inflows and outflows in % –1,3 0,1 –0,5 –0,2 –0,3 –0,1 –0,2
Natality rate (‰) 16,7 13,9 12,9 10,1 11,3 10,7 9,1
Mortality rate (‰) 11,5 13,4 11,8 11,1 13,1 12,4 14,1
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024
  • Sources: Insee, RP1968 to 1999 counts, RP2010 to RP2021 main holdings - Civil status

POP T3 - Population by age and sex in 2021

POP T3 - Population by age and sex in 2021
Age Male % Female %
Altogether 3 733 100,0 3 774 100,0
0 to 14 years old 675 18,1 640 17,0
15 to 29 years old 587 15,7 513 13,6
30 to 44 years old 613 16,4 593 15,7
45 to 59 years old 741 19,8 749 19,9
60 to 74 years old 801 21,5 783 20,7
75 to 89 years old 281 7,5 397 10,5
90 years and over 35 0,9 99 2,6
0 to 19 years old 920 24,7 846 22,4
20 to 64 years old 2 009 53,8 1 929 51,1
65 and over 804 21,5 1 000 26,5
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2015 % 2021 %
People one year old and over, previously living: 7 727 100,0 7 435 100,0
In the same house 7 057 91,3 6 766 91,0
In another house in the same town 138 1,8 173 2,3
In another town 533 6,9 496 6,7
  • Source: Insee, RP2015, RP2021 main operations, geography as of 01/01/2024.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 20,9 79,1
15 to 24 years old 22,2 77,8
25 to 54 years old 28,0 72,0
55 years old and over 40,3 59,7
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

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

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

POP T5 - Population aged 15 years and over by socioprofessional classification
socioprofessional classification 2010 % 2015 % 2021 %
Altogether 6 451 100,0 6 368 100,0 6 148 100,0
Farmer operators 132 2,0 113 1,8 71 1,2
Craftsmen, traders, business leaders 160 2,5 149 2,3 187 3,0
Managers and higher intellectual professions 240 3,7 226 3,6 172 2,8
Middle-level occupations 705 10,9 630 9,9 712 11,6
Services employee 1 006 15,6 1 095 17,2 1 042 16,9
Blue-collar workers 1 240 19,2 1 156 18,2 952 15,5
Retirees 2 015 31,2 2 061 32,4 2 065 33,6
Other people with no professional activity 954 14,8 938 14,7 946 15,4
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

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

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021
socioprofessional classification Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 3 029 3 119 100,0 100,0 100,0
Farmer operators 51 21 0,6 1,7 0,9
Craftsmen, traders, business leaders 116 71 0,7 5,4 1,7
Managers and higher intellectual professions 132 40 0,0 4,6 2,1
Middle-level occupations 333 379 13,1 20,5 3,7
Services employee 215 827 18,1 29,0 6,5
Blue-collar workers 832 120 16,1 27,4 5,3
Retirees 1 020 1 045 0,0 0,3 70,4
Other people without professional activity 330 616 51,4 11,2 9,4
  • Source: Insee, RP2021 additional operation, geography as of 01/01/2024.

Couples – Family – Households in 2021

Living zone 2022 of Wassy (52550)

FAM T1 - Households by composition

FAM T1 - Households by composition
household type Number of households Household population
2010 % 2015 % 2021 % 2010 2015 2021
Altogether 3 341 100,0 3 314 100,0 3 298 100,0 7 722 7 544 7 284
One-person households (male and female) 995 29,8 1 007 30,4 1 099 33,3 995 1 007 1 099
 Single Male 446 13,4 447 13,5 482 14,6 446 447 482
 Single Female 549 16,4 560 16,9 617 18,7 549 560 617
Other households without families 64 1,9 30 0,9 40 1,2 179 95 80
Family households : 2 282 68,3 2 277 68,7 2 160 65,5 6 548 6 442 6 105
 Couple without children 1 072 32,1 1 011 30,5 993 30,1 2 181 2 046 2 010
 Couple with children 986 29,5 945 28,5 857 26,0 3 792 3 647 3 305
 Single parent 225 6,7 321 9,7 310 9,4 575 750 790
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

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

FAM T1bis - The detailed composition of single-family households.
Single-family households Number of households % Household population
Altogether 2 148 100,0 6 043
Couple without children 993 46,0 2 010
Couple with children 846 39,2 3 244
Couples with only children of the couple 676 31,3 2 475
Couples with at least one child of only one member of the couple 169 7,8 768
Single-parent family 310 14,4 790
Single man with child(ren) 135 6,2 339
Single woman with child(ren) 175 8,1 451
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Average number of occupants per main residence 3,33 3,14 2,92 2,82 2,56 2,31 2,27 2,21
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 main holdings

FAM G1 - Growth estimates of households’ size since 1968

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

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

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2010 2015 2021
15 to 19 years old 1,2 0,0 1,4
20 to 24 years old 8,8 12,1 8,2
25 to 39 years old 9,7 7,8 13,1
40 to 54 years old 12,1 11,8 13,3
55 to 64 years old 13,4 18,3 21,0
65 to 79 years old 28,6 25,7 24,0
80 and above 51,3 49,0 53,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

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

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

FAM G3 - Proportion of couple families aged 15 years or over
2010 2015 2021
15 to 19 years old 3,1 2,4 1,1
20 to 24 years old 40,2 36,7 36,4
25 to 39 years old 74,5 77,7 72,8
40 to 54 years old 76,7 76,4 74,6
55 to 64 years old 78,6 75,8 73,6
65 to 79 years old 62,0 66,5 69,7
80 and above 32,1 33,4 33,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

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

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

FAM G4 - Marital status of the population aged 15 years or over in 2021
%
Married 43,9
Civil partnership 5,6
In cohabitation 12,6
Widowed 9,2
Divorced 5,5
Single 23,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

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

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

FAM T2 - Households by socio-economic classification of the reference person in 2021
Number of households % Household population %
Altogether 3 298 100,0 7 284 100,0
Farmer operators 36 1,1 119 1,6
Craftsmen, traders, business leaders 116 3,5 323 4,4
Managers and higher intellectual professions 117 3,5 354 4,9
Intermediate professions 413 12,5 1 041 14,3
Employees 581 17,6 1 452 19,9
Workers 670 20,3 1 827 25,1
Retirees 1 155 35,0 1 827 25,1
Other people without professional activity 210 6,4 341 4,7
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

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

FAM G5 - Households by socio-economic classification of the reference person in 2021
%
Farmer operators 1,1
Handicrafters, traders, business leaders 3,5
Managers and higher intellectual professions 3,5
Intermediate professions 12,5
Employees 17,6
Workers 20,3
Retirees 35,0
Unemployed persons 6,4
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

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

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

FAM T3 - Families composition

FAM T3 - Families composition
2010 % 2015 % 2021 %
Altogether 2 290 100,0 2 286 100,0 2 171 100,0
Couple with children 990 43,2 950 41,6 857 39,5
Single parent 229 10,0 321 14,0 310 14,3
 Male single parent 56 2,5 65 2,8 75 3,4
 Female single parent 172 7,5 256 11,2 235 10,8
Couple without children 1 072 46,8 1 015 44,4 1 004 46,3
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

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

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2021 %
Altogether 857 100,0
Traditional family 681 79,5
Blended family 176 20,5
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2010 % 2015 % 2021 %
Altogether 2 290 100,0 2 286 100,0 2 171 100,0
Without any 1 207 52,7 1 208 52,8 1 140 52,5
1 child 456 19,9 471 20,6 476 21,9
2 children 446 19,5 435 19,0 369 17,0
3 children 132 5,8 137 6,0 146 6,7
4 children or above 48 2,1 35 1,6 40 1,8
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

Housing in 2021

Living zone 2022 of Wassy (52550)

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

LOG T1 - Growth estimates of the number of housings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Altogether 3 157 3 216 3 525 3 547 3 600 3 877 3 984 4 034
Principal residences 2 717 2 716 2 972 2 970 3 162 3 335 3 338 3 306
Secondary residences 156 169 200 223 170 145 160 159
Vacant accommodations 284 331 353 354 268 396 486 569
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

LOG T2 - Types and categories of housings

LOG T2 - Types and categories of housings
2010 % 2015 % 2021 %
Altogether 3 877 100,0 3 984 100,0 4 034 100,0
Principal residence 3 335 86,0 3 338 83,8 3 306 82,0
Secondary residences 145 3,8 160 4,0 159 3,9
Vacant accommodations 396 10,2 486 12,2 569 14,1
houses 3 274 84,5 3 414 85,7 3 422 84,8
flats 581 15,0 547 13,7 585 14,5
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
2010 % 2015 % 2021 %
Altogether 3 335 100,0 3 338 100,0 3 306 100,0
1 room 39 1,2 24 0,7 24 0,7
2 rooms 135 4,1 141 4,2 143 4,3
3 rooms 471 14,1 466 14,0 477 14,4
4 rooms 906 27,2 927 27,8 897 27,1
5 rooms or above 1 783 53,5 1 780 53,3 1 764 53,4
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
2010 2015 2021
All main residences 4,7 4,7 4,7
House 5,0 4,9 5,0
Flat 3,3 3,3 3,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2010 2015 2021
Over-occupied 1,5 0,9 1,1
Non-over-occupied 98,5 99,1 98,9
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

LOG T5 - Principal residences in 2021 by completion period

LOG T5 - Principal residences in 2021 by completion period
Number %
Principal residences build before 2019 3 282 100,0
before 1919 984 30,0
from 1919 to 1945 335 10,2
from 1946 to 1970 466 14,2
from 1971 to 1990 866 26,4
from 1991 to 2005 324 9,9
from 2006 to 2015 307 9,4
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

LOG G1 - Principal residences in 2021 by completion period and housing category
House Flat
before 1919 914 66
from 1919 to 1945 321 12
from 1946 to 1970 332 130
from 1971 to 1990 727 138
from 1991 to 2005 293 29
from 2006 to 2018 267 39
  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

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

LOG T6 - Housing tenure of the main residences in 2021

LOG T6 - Housing tenure of the main residences in 2021
Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 3 306 100,0 7 299 4,7 2,1
Less than 2 years ago 315 9,5 720 4,2 1,8
From 2 to 4 years ago 469 14,2 1 136 4,2 1,7
From 5 to 9 years ago 431 13,0 1 123 4,7 1,8
10 years ago or above 2 090 63,2 4 320 5,0 2,4
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

LOG G2 - Households’ Housing tenure in 2021
Share of households in%
Less than 2 years ago 9,5
From 2 to 4 years ago 14,2
From 5 to 9 years ago 13,0
From 10 to 19 years ago 18,4
From 20 to 29 years ago 13,0
30 years ago or above 31,8
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

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

LOG T7 - Principal residences by occupational status

LOG T7 - Principal residences by occupational status
2010 2015 2021
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 3 335 100,0 3 338 100,0 3 306 100,0 7 299 21,1
Homeowner 2 397 71,9 2 388 71,6 2 395 72,4 5 374 25,7
Tenant 857 25,7 880 26,4 857 25,9 1 824 8,2
(including public tenants) 323 9,7 344 10,3 343 10,4 627 10,5
Housed for free 82 2,4 70 2,1 54 1,6 101 20,4
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T8M - Principal residences by material comfort

LOG T8M - Principal residences by material comfort
2010 % 2015 % 2021 %
Altogether 3 335 100,0 3 338 100,0 3 306 100,0
Bathroom including a shower or a bath 3 241 97,2 3 249 97,3 3 230 97,7
Collective central heating 282 8,5 273 8,2 261 7,9
Individual central heating 1 635 49,0 1 517 45,5 1 560 47,2
Individual electric heating 476 14,3 472 14,1 455 13,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2010 % 2015 % 2021 %
Altogether 3 335 100,0 3 338 100,0 3 306 100,0
At least one parking spot 2 082 62,4 2 212 66,3 2 180 65,9
At least one car 2 830 84,9 2 894 86,7 2 890 87,4
1 car 1 486 44,5 1 454 43,5 1 449 43,8
2 cars or above 1 344 40,3 1 440 43,1 1 441 43,6
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

Education and training in 2021

Living zone 2022 of Wassy (52550)

FOR T1 - Enrollment by age and sex in 2021

FOR T1 - Enrollment by age and sex in 2021
Age Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 320 268 84,0 86,1 81,6
6 to 10 years old 450 444 98,7 99,1 98,1
11 to 14 years old 402 399 99,2 99,5 99,0
15 to 17 years old 320 306 95,3 92,8 98,0
18 to 24 years old 437 102 23,3 21,0 26,4
25 to 29 years old 343 10 3,0 2,3 3,7
30 years old and over 5 092 21 0,4 0,4 0,5
  • Source: Insee, RP2021 principal exploitation, geography at the 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
Age 2010 2015 2021
2 to 5 years old 80,3 78,8 84,0
6 to 10 years old 99,0 98,7 98,7
11 to 14 years old 99,1 98,1 99,2
15 to 17 years old 96,1 96,2 95,3
18 to 24 years old 32,9 33,3 23,3
25 to 29 years old 3,1 1,3 3,0
30 years old and over 0,5 0,5 0,4
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

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

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

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Diploma Altogether Male Female
Proportion of unschooled aged 15 years or above 5 753 2 839 2 915
Proportion of graduates in percentage
No diploma or primary education certificate 29,0 24,0 33,8
BEPC brevet des collèges or DNB 5,3 4,2 6,3
CAP, BEP or equivalent 32,9 39,7 26,2
Baccalauréat, brevet professionnel or equivalent 16,5 16,7 16,4
2 years at university 9,1 8,6 9,5
3 to 4 years at university 4,6 3,8 5,5
5 years and over at university 2,7 3,1 2,3
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2010 2021
No diploma or primary education certificate 37,7 29,0
BEPC brevet des collèges or DNB 6,3 5,3
CAP, BEP or equivalent 29,5 32,9
Baccalauréat, brevet professionnel or equivalent 13,1 16,5
2 years and over at university 13,5 16,4
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

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

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

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

Living zone 2022 of Wassy (52550)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2010 2015 2021
Altogether 5 005 4 781 4 389
Working age adult in % 70,8 71,2 71,6
 including working age adults with a job in % 62,3 61,1 62,2
 including unemployed workers in % 8,5 10,1 9,3
Economically inactive people in % 29,2 28,8 28,4
 including pupils, students or interns in % 7,5 8,0 8,1
 including retirees in % 11,5 10,9 9,6
 including other economically inactive people in % 10,2 9,9 10,7
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 4 389 3 141 71,6 2 732 62,2
 15 to 24 years old 757 343 45,3 247 32,7
 25 to 54 years old 2 523 2 268 89,9 2 007 79,6
 55 to 64 years old 1 109 530 47,8 477 43,0
Male 2 254 1 707 75,7 1 509 66,9
 15 to 24 years old 413 219 53,0 172 41,6
 25 to 54 years old 1 273 1 214 95,4 1 088 85,5
 55 to 64 years old 568 275 48,3 249 43,9
Female 2 135 1 434 67,2 1 223 57,3
 15 to 24 years old 344 124 36,0 75 21,9
 25 to 54 years old 1 251 1 054 84,3 920 73,5
 55 to 64 years old 540 256 47,3 228 42,1
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

EMP G1 - Population aged 15 to 64 by economic activity category in 2021
Population (%)
Working age adults who have a job 62,2
Unemployed workers 9,3
Retirees 9,6
Pupils, students or interns 8,1
Other economically inactive people 10,7
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

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

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

EMP T3 - Population aged 15 to 64 by socio-economic classification
Socio-economic classification 2010 including working people 2015 including working people 2021 including working people
Altogether 3 506 3 111 3 400 2 968 3 141 2 726
including nd nd nd nd nd nd
 Farmer operators 132 128 113 108 66 66
 Handicrafters, traders and business leaders 152 136 139 139 182 166
 Managers and higher intellectual professions 236 236 216 201 157 151
 Intermediate professions 705 689 625 595 712 682
 Employees 998 874 1 085 941 1 037 909
 Workers 1 228 1 048 1 156 983 942 751
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2010 2015 2021
Number of unemployed workers 423 481 409
Unemployment rate in % 11,9 14,1 13,0
Unemployment of the 15-24 aged 31,9 34,6 27,8
Unemployment of the 25-54 aged 9,4 12,5 11,5
Unemployment of the 55-64 aged 8,9 8,7 10,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 27,0
BEPC brevet des collèges or DNB 15,9
CAP, BEP or equivalent 14,3
Baccalauréat, brevet professionnel or equivalent 10,9
2 years at university 5,8
3 to 4 years at university 4,1
5 years or more at university 6,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

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

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2010 2015 2021
Number of jobs in the area 2 409 2 241 2 027
Working age adult living in the area 3 142 2 946 2 770
Occupational concentration by industry 76,7 76,0 73,2
employment rate of 15 years old or above in % 55,1 53,5 51,4
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2010, RP2015 and RP2021, main holdings, place of residence and place of work, geography as of 01/01/2024.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2010 % 2015 % 2021 %
Altogether 2 409 100,0 2 241 100,0 2 027 100,0
Employee 2 080 86,4 1 916 85,5 1 734 85,6
 including women 915 38,0 895 39,9 803 39,6
 including partial time jobs 380 15,8 378 16,9 308 15,2
Non-employee 328 13,6 324 14,5 293 14,4
 including women 104 4,3 108 4,8 104 5,1
 including partial time jobs 28 1,1 31 1,4 27 1,3
  • Sources : Insee, RP2010, RP2015 and RP2021, main workplaces, geography as of 01/01/2024.

EMP T7 - Employment by socio-economic activity in 2021

EMP T7 - Employment by socio-economic activity in 2021
Socio-economic activity Number %
Altogether 2 024 100,0
Farmer operators 71 3,5
Handicrafters, traders, business leaders 132 6,5
Managers and higher intellectual professions 175 8,7
Intermediate professions 333 16,4
Employees 535 26,4
Workers 778 38,4
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

EMP G3 - Employment by socio-economic activity
2010 2015 2021
Farmer operators 5,1 4,8 3,5
Handicrafters, traders, business leaders 4,9 4,8 6,5
Managers and higher intellectual professions 9,1 7,5 8,7
Intermediate professions 21,1 19,0 16,4
Employees 23,7 25,3 26,4
Workers 36,0 38,5 38,4
  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

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

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2010 2015 2021
Number % Number % Number % including women in % including employees %
Altogether 2 429 100,0 2 253 100,0 2 024 100,0 44,0 87,0
Agriculture 191 7,9 175 7,8 102 5,1 25,4 30,2
Industry 842 34,7 816 36,2 593 29,3 11,5 98,3
Construction 148 6,1 83 3,7 130 6,4 15,6 76,9
Wholesale and retail trade/transports/accommodations and food service activities 430 17,7 521 23,1 573 28,3 46,5 80,4
Public administration/education/human health/social work 818 33,7 657 29,2 626 30,9 81,4 93,6
  • Sources : Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021
Employees Non-employees
Agriculture 17,1 28,9
Industry 11,7 0,0
Construction 20,2 0,0
Wholesale and retail trade, transports, accommodations and food service activities 45,7 50,1
Public administration, education, human health, social work 84,4 37,5
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

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

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

Characteristics of employment in the sense of the census in 2021

Living zone 2022 of Wassy (52550)

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

ACT T1 - Population aged 15 years or over having a job by status in 2021
Employment status Number % of which % part-time of which % women
Altogether 2 770 100,0 14,6 45,1
Employees 2 410 87,0 15,5 46,3
Non-employees 360 13,0 8,8 37,1
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021
Employment status and conditions Male % Female %
Altogether 1 521 100 1 249 100
Employees 1 295 85,1 1 116 89,3
 Tenured personnel and open-ended employment contracts 1 064 70,0 891 71,4
 Fixed-term employment contracts 101 6,6 190 15,2
 Temporary employment 86 5,7 18 1,5
 Assisted jobs 4 0,3 2 0,2
 Apprentice ship contract - Traineeship 39 2,6 14 1,1
Non-employees 226 14,9 133 10,7
 Independents 106 7,0 77 6,1
 Employers 119 7,8 53 4,2
 Caregivers 1 0,1 4 0,3
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021
Age Male of which% part-time Female of which% part-time
Altogether 1 287 4,4 1 098 27,8
15 to 24 years old 164 12,8 72 25,3
25 to 54 years old 938 2,6 828 26,8
55 to 64 years old 186 6,5 197 32,9
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
Sex 2010 2015 2021
Male 4,0 4,6 4,8
Female 34,8 33,8 27,9
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
Work Area 2010 % 2015 % 2021 %
Altogether 3 137 100 2 946 100 2 770 100
working :
in their residential zone 866 27,6 795 27,0 635 22,9
in another zone 2 271 72,4 2 151 73,0 2 135 77,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

ACT G2 - Proportion of transports used to go to work in 2021
Mode of transport Percentage
None 5,3
Walking 6,6
Bicycle 2,0
Motorized two-wheeled vehicles 1,1
Car or truck 84,2
Public transports 0,9
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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

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

Births and Deaths of people with usual residence in the area, 2014-2022

Living zone 2022 of Wassy (52550)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021 2022
Domiciled deaths 85 123 111 95 100 108 112 115 100
Domiciled births 89 88 70 60 69 72 62 61 61
  • Source: Insee, civil status statistics in geography as of 01/01/2023.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2023.

Household income and poverty in 2021

Living zone 2022 of Wassy (52550)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 3 232
Number of people in tax households 7 099
Median disposable income (per consumption unit in euros) 20 900
Share of actually taxed tax households (in %) 45,7
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

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

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Altogether 15,0
Less than 30 years old
30 to 39 years old
40 to 49 years old 18,5
50 to 59 years old
60 to 74 years old
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 01/01/2024.

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

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

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Altogether 15,0
Homeowner 9,3
Tenant 33,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

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

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

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income share in %
Altogether 100,0
Work income 65,9
including wages 58,1
including unemployment pensions 2,8
including self-employed income 5,0
Retirement pension or annuity 34,0
Capital income (real estate, financial, others) 6,3
Social benefits 6,3
including child benefit 2,3
including income support 2,9
including housing benefit 1,1
Tax –12,5
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 20 900
Inter-decile ratio 2,6
1st decile (in euros) 12 350
9th decile (in euros) 32 520
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

Salaries and earned income in 2022

Living zone 2022 of Wassy (52550)

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

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022
Altogether Female Male
Altogether 13,8 12,6 14,4
Managerial staff * 23,8 20,4 25,2
Intermediate professions 15,9 14,8 16,5
Employees 11,6 11,5 12,0
Workers 12,6 10,8 12,8
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

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

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

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

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022
Difference (in%)
Altogether –12,4
Managerial staff * –19,0
Intermediate professions –10,2
Employees –4,5
Workers –15,7
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

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

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

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

SAL T1 - Net average hourly wage (in euros) by age in 2022
Age Altogether Female Male
15 to 25 years old 10,7 9,7 11,1
26 to 50 years old 13,6 12,6 14,1
50 years old or above 15,5 13,9 16,3
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

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

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022
Gender pay gap (in%)
15 to 25 years old –12,4
26 to 50 years old –11,0
50 years old or above –15,0
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

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

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

Establishment characteristics at the end of 2022

Living zone 2022 of Wassy (52550)

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2022

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2022
Industry sector Total % 0 employee 1 to 9 employee(s) 10 or more employees
Altogether 202 100,0 25 151 26
Agriculture, forestry and fishing 27 13,4 4 23 0
Industrial economy 15 7,4 1 10 4
Building industry 34 16,8 13 18 3
Trade, transport, various services 77 38,1 5 63 9
including trade and car repair 28 13,9 1 24 3
Administration publique, enseignement, santé, action sociale 49 24,3 2 37 10
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES T2P - Employees by aggregate sector of activity and size of establishment at the end of 2022

RES T2P - Employees by aggregate sector of activity and size of establishment at the end of 2022
Industry sector Total % 1 to 9 employee(s) 10 or more employees
Altogether 1 648 100,0 384 1 264
Agriculture, forestry and fishing 32 1,9 32 0
Industrial economy 618 37,5 34 584
Building industry 83 5,0 47 36
Trade, transport, various services 312 18,9 150 162
including trade and car repair 148 9,0 77 71
Administration publique, enseignement, santé, action sociale 603 36,6 121 482
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

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

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2022
%
General government, education, healthcare, social action 24,3
Trade, transport, various services 38,1
Building industry 16,8
Industrial economy 7,4
Agriculture, forestry and fishing 13,4
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

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

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

RES G2P - Distribution of active employer establishments by size at the end of 2022

RES G2P - Distribution of active employer establishments by size at the end of 2022
%
10 or more employees 12,9
1 to 10 employee(s) 74,8
0 employee 12,4
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES G2P - Distribution of active employer establishments by size at the end of 2022

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

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

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2022
Economic sphere Establishments Employees
Number % Number %
Altogether 202 100,0 1 648 100,0
Productive sphere 66 32,7 789 47,9
of which public domain 0 0,0 0 0,0
Presential sphere 136 67,3 859 52,1
of which public domain 51 25,2 492 29,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

RES T5 - Individual employers at the end of 2022

RES T5 - Individual employers at the end of 2022
Individual employers
Number %
Altogether 242 100,0
Employers of childminders 103 42,6
Employers of other employees 139 57,4
  • Scope: private employers.
  • Source: Insee, Flores (Localized compensation and employee employment file) in geography as of 01/01/2024.

Business and establishment set-ups in 2022

Living zone 2022 of Wassy (52550)

DEN T1 - Business set-ups by sector of activity in 2022

DEN T1 - Business set-ups by sector of activity in 2022
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 57 100,0 48 84,2
Industry 8 14,0 6 75,0
Construction 2 3,5 1 50,0
Wholesale and retail trade/transports/accommodations and food service activities 13 22,8 12 92,3
Information/communication 6 10,5 6 100,0
Finance and insurance activities 0 0,0 0
Real estate activities 2 3,5 1 50,0
Professional/scientific/technical activites/administrative and support service activities 14 24,6 10 71,4
Public administration/education/healthcare/social work 3 5,3 3 100,0
Other service activities 9 15,8 9 100,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2024.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Altogether 33 33 25 27 22 25 36 48 67 57
Sole proprietorship 28 25 19 22 12 21 30 44 48 48
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G1 - Business set-ups

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

DEN T3 - Number of economically active legal units by economic sector in 2021

DEN T3 - Number of economically active legal units by economic sector in 2021
Number %
Altogether 308 100,0
Industry 36 11,7
Construction 66 21,4
Wholesale and retail trade/transports/accommodations and food service activities 75 24,4
Information/communication 2 0,6
Finance and insurance activities 11 3,6
Real estate activities 26 8,4
Professional/scientific/technical activites/administrative and support service activities 32 10,4
Public administration/education/human health/social work 28 9,1
Other service activities 32 10,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T4 - Business set-ups by economic sectors in 2022

DEN T4 - Business set-ups by economic sectors in 2022
Altogether %
Altogether 61 100,0
Industry 10 16,4
Construction 2 3,3
Wholesale and retail trade/transports/accommodations and food service activities 16 26,2
Information/communication 6 9,8
Finance and insurance activities 0 0,0
Real estate activities 2 3,3
Professional/scientific/technical activites/administrative and support service activities 14 23,0
Public administration/education/healthcare/social work 2 3,3
Other service activities by the number of business creations including free lancers 9 14,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Establishment set-ups 31 34 34 36 23 29 40 59 72 61
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G3 - Establishment set-ups

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

DEN T5 - Number of economically active legal units by economic sector in 2021

DEN T5 - Number of economically active legal units by economic sector in 2021
Number %
Altogether 339 100,0
Industry 38 11,2
Construction 66 19,5
Wholesale and retail trade/transports/accommodations and food service activities 85 25,1
Information/communication 2 0,6
Finance and insurance activities 16 4,7
Real estate activities 25 7,4
Professional/scientific/technical activites/administrative and support service activities 37 10,9
Public administration/education/human health/social work 38 11,2
Other service activities 32 9,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Tourism in 2024

Living zone 2022 of Wassy (52550)

TOU T1 - Number and capacity of hotels on the 1st of January 2024

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

TOU T2 - Number and capacity of campsites on the 1st of January 2024

TOU T2 - Number and capacity of campsites on the 1st of January 2024
Number of stars Campsites Pitches
Altogether 2 103
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 1 71
5 stars 0 0
Non-ranked 1 32
  • Source: Insee, territorial partners in geography as of 01/01/2024.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024

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

Définitions

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

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

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

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

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

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

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

Champ

Population censuses

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

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

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

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

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

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

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (Filosofi)

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

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

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

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

All employees databases

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

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

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

Business Demography Information System (SIDE)

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

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

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

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

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Hotel occupancy survey

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

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

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

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

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

Géographie

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

Vital statistics: distribution to all municipalities in France in geography as of 2023;

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

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2024;

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

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

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

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2024

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Statistical confidentiality of the Bases All employees

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

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

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

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