données locales

Paru le : 27/02/2024

Full set of local data Municipality of Labourse (62480)

Detailed figures
Paru le :Paru le27/02/2024
- February 2024

Growth and structure of the population in 2020

Municipality of Labourse (62480)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2009 % 2014 % 2020 %
Altogether 2 253 100,0 2 594 100,0 2 912 100,0
0 to 14 years old 487 21,6 601 23,2 704 24,2
15 to 29 years old 449 19,9 451 17,4 474 16,3
30 to 44 years old 537 23,8 630 24,3 673 23,1
45 to 59 years old 401 17,8 466 18,0 560 19,2
60 to 74 years old 243 10,8 274 10,6 335 11,5
75 and over 137 6,1 173 6,7 165 5,7
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2009 2014 2020
0 to 14 years old 21,6 23,2 24,2
15 to 29 years old 19,9 17,4 16,3
30 to 44 years old 23,8 24,3 23,1
45 to 59 years old 17,8 18,0 19,2
60 to 74 years old 10,8 10,6 11,5
75 and over 6,1 6,7 5,7
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 2009 2014 2020
Population 2 201 1 926 1 711 2 057 2 028 2 253 2 594 2 912
Average density (inhab / km²) 471,3 412,4 366,4 440,5 434,3 482,4 555,5 623,6
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023.
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 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 2009 2009 to 2014 2014 to 2020
Average annual change in population in % –1,9 –1,7 2,3 –0,2 1,1 2,9 1,9
due to the natural balance in % 0,7 0,1 0,7 0,4 0,4 0,7 0,4
due to the apparent balance of inflows and outflows in % –2,6 –1,7 1,7 –0,6 0,6 2,1 1,6
Natality rate (‰) 18,1 13,1 17,1 13,7 12,2 16,3 13,4
Mortality rate (‰) 11,1 12,3 10,6 9,3 8,0 9,1 9,7
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023
  • Sources: Insee, RP1968 to 1999 counts, RP2009 to RP2020 main holdings - Civil status

POP T3 - Population by age and sex in 2020

POP T3 - Population by age and sex in 2020
Male % Female %
Altogether 1 398 100,0 1 514 100,0
0 to 14 years old 353 25,2 351 23,2
15 to 29 years old 242 17,3 232 15,3
30 to 44 years old 314 22,4 360 23,8
45 to 59 years old 296 21,2 264 17,5
60 to 74 years old 151 10,8 184 12,2
75 to 89 years old 38 2,7 93 6,2
90 years and over 4 0,3 29 1,9
0 to 19 years old 450 32,2 440 29,0
20 to 64 years old 828 59,2 835 55,2
65 and over 120 8,6 239 15,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2014 % 2020 %
People one year old and over, previously living: 2 550 100,0 2 870 100,0
In the same house 2 256 88,5 2 494 86,9
In another house in the same town 64 2,5 95 3,3
In another town 230 9,0 281 9,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 26,7 73,3
15 to 24 years old 21,4 78,6
25 to 54 years old 24,6 75,4
55 years old and over 29,6 70,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2009 % 2014 % 2020 %
Altogether 1 740 100,0 1 950 100,0 2 308 100,0
Farmer operators 0 0,0 0 0,0 0 0,0
Craftsmen, traders, business leaders 13 0,7 85 4,4 56 2,4
Managers and higher intellectual professions 66 3,8 73 3,7 118 5,1
Middle-level occupations 216 12,4 282 14,5 425 18,4
Services employee 355 20,4 312 16,0 455 19,7
Blue-collar workers 337 19,4 402 20,6 394 17,1
Retirees 364 20,9 437 22,4 452 19,6
Other people with no professional activity 390 22,4 359 18,4 409 17,7
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 1 090 1 218 100,0 100,0 100,0
Farmer operators 0 0 0,0 0,0 0,0
Craftsmen, traders, business leaders 46 10 1,4 2,5 3,0
Managers and higher intellectual professions 82 36 0,0 8,7 1,5
Middle-level occupations 215 210 6,8 28,1 7,4
Services employee 112 343 17,6 28,1 5,9
Blue-collar workers 327 67 16,2 22,3 8,1
Retirees 180 272 0,0 0,0 65,2
Other people without professional activity 128 281 58,1 10,3 8,9
  • Source: Insee, RP2020 additional operation, geography as of 01/01/2023.

Couples – Family – Households in 2020

Municipality of Labourse (62480)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2009 % 2014 % 2020 % 2009 2014 2020
Ensemble 812 100,0 939 100,0 1 056 100,0 2 220 2 582 2 870
One-person households (male and female) 158 19,5 173 18,4 212 20,0 158 173 212
 Single Male 34 4,2 35 3,7 52 4,9 34 35 52
 Single Female 124 15,2 138 14,7 160 15,1 124 138 160
Other households without families 4 0,5 30 3,2 10 1,0 8 106 26
Family households : 650 80,0 736 78,4 835 79,0 2 054 2 303 2 633
 Couple without children 222 27,3 271 28,9 288 27,3 451 568 586
 Couple with children 350 43,1 392 41,8 480 45,4 1 385 1 526 1 867
 Single parent 78 9,6 73 7,8 67 6,3 218 210 179
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Average number of occupants per main residence 3,52 3,16 2,93 3,05 2,92 2,73 2,74 2,73
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 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 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 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
en % 2009 2014 2020
15 to 19 years old 0,6 0,0 0,0
20 to 24 years old 0,0 3,8 0,8
25 to 39 years old 2,3 2,7 3,3
40 to 54 years old 3,1 4,0 5,9
55 to 64 years old 11,4 9,2 11,2
65 to 79 years old 27,6 28,2 24,9
80 and above 72,5 58,1 59,6
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

FAM G3 - Proportion of couple families aged 15 years or over
en % 2009 2014 2020
15 to 19 years old 1,2 1,3 1,1
20 to 24 years old 34,8 30,2 27,5
25 to 39 years old 86,0 87,5 82,0
40 to 54 years old 85,1 82,5 81,8
55 to 64 years old 81,2 80,0 80,6
65 to 79 years old 61,7 60,0 67,7
80 and above 10,6 21,3 19,7
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

FAM G4 - Marital status of the population aged 15 years or over in 2020
%
Married 48,0
Civil partnership 7,0
In cohabitation 12,5
Widowed 7,6
Divorced 4,4
Single 20,5
  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM T2 - Households by socio-economic classification of the reference person in 2020

FAM T2 - Households by socio-economic classification of the reference person in 2020
Number of households % Household population %
Ensemble 1 056 100,0 2 870 100,0
Farmer operators 0 0,0 0 0,0
Craftsmen, traders, business leaders 26 2,4 77 2,7
Managers and higher intellectual professions 87 8,2 256 8,9
Intermediate professions 225 21,3 726 25,3
Employees 195 18,4 583 20,3
Workers 220 20,8 725 25,3
Retirees 268 25,3 432 15,1
Other people without professional activity 36 3,4 72 2,5
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

FAM G5 - Households by socio-economic classification of the reference person in 2020
%
Farmer operators 0,0
Handicrafters, traders, business leaders 2,4
Managers and higher intellectual professions 8,2
Intermediate professions 21,3
Employees 18,4
Workers 20,8
Retirees 25,3
Unemployed persons 3,4
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM T3 - Families composition

FAM T3 - Families composition
2009 % 2014 % 2020 %
Ensemble 654 100,0 736 100,0 850 100,0
Couple with children 350 53,5 392 53,3 485 57,1
Single parent 78 12,0 73 9,9 72 8,4
 Male single parent 16 2,5 9 1,2 10 1,2
 Female single parent 62 9,5 64 8,7 62 7,2
Couple without children 225 34,5 271 36,8 293 34,5
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2009 % 2014 % 2020 %
Ensemble 654 100,0 736 100,0 850 100,0
Without any 246 37,6 292 39,7 349 41,1
1 child 156 23,9 159 21,5 210 24,7
2 children 165 25,3 192 26,1 199 23,4
3 children 67 10,3 85 11,5 71 8,4
4 children or above 19 2,9 8 1,1 20 2,4
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

Housing in 2020

Municipality of Labourse (62480)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Altogether 648 625 614 709 716 841 1 014 1 114
Main residences 625 608 582 665 684 811 936 1 049
Second homes 0 1 4 3 4 0 1 4
Vacant dwellings 23 16 28 41 28 30 77 61
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2009 % 2014 % 2020 %
Altogether 841 100,0 1 014 100,0 1 114 100,0
Main residences 811 96,4 936 92,3 1 049 94,2
Second homes 0 0,0 1 0,1 4 0,4
Vacant dwellings 30 3,6 77 7,6 61 5,4
Houses 834 99,1 1 002 98,8 1 112 99,8
Flats 4 0,5 8 0,7 2 0,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2009 % 2014 % 2020 %
Altogether 811 100,0 936 100,0 1 049 100,0
1 room 0 0,0 4 0,5 1 0,1
2 rooms 35 4,3 36 3,8 39 3,7
3 rooms 125 15,5 115 12,3 110 10,5
4 rooms 259 31,9 319 34,0 306 29,1
5 rooms and over 392 48,3 462 49,4 593 56,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2009 2014 2020
All main residences 4,5 4,6 4,7
Houses 4,6 4,6 4,7
Flats 2,5 3,7 3,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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)
2009 2014 2020
Over-occupied 1,4 3,6 2,4
Non-over-occupied 98,6 96,4 97,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T5 - Main residences in 2020 by completion period

LOG T5 - Main residences in 2020 by completion period
Number %
Principal residences build before 2018 1 049 100,0
before 1919 91 8,7
from 1919 to 1945 198 18,9
from 1946 to 1970 153 14,6
from 1971 to 1990 176 16,7
from 1991 to 2005 142 13,6
from 2006 to 2017 289 27,5
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

LOG G1 - Main residences in 2020 by completion period and housing category
House Flat
before 1919 91 0
from 1919 to 1945 198 0
from 1946 to 1970 153 0
from 1971 to 1990 174 2
from 1991 to 2005 142 0
from 2006 to 2017 289 0
  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T6 - Main residence tenure in 2020

LOG T6 - Main residence tenure in 2020
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 1 049 100,0 2 864 4,7 1,7
Less than 2 years 127 12,1 388 4,6 1,5
From 2 to 4 years 190 18,1 546 4,7 1,6
From 5 to 9 years 210 20,0 653 4,8 1,5
10 years and over 523 49,8 1 276 4,8 2,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

LOG G2 - Households by main residence tenure in 2020
Share of households in%
Less than 2 years 12,1
From 2 to 4 years 18,1
From 5 to 9 years 20,0
From 10 to 19 years 20,7
From 20 to 29 years 8,0
30 years and over 21,1
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2009 2014 2020
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 811 100,0 936 100,0 1 049 100,0 2 864 16,3
Homeowner 528 65,1 643 68,7 705 67,1 1 952 19,3
Tenant 248 30,6 278 29,7 329 31,4 880 9,8
(including social sector housing) 59 7,2 143 15,2 193 18,4 563 12,4
Housed for free 35 4,3 15 1,6 15 1,5 32 14,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2009 % 2014 % 2020 %
Altogether 811 100,0 936 100,0 1 049 100,0
Bathroom including a shower or a bath 795 98,1 915 97,7 1 026 97,7
Collective central heating 2 0,2 3 0,3 6 0,6
Individual central heating 554 68,3 579 61,9 657 62,6
Individual electric heating 133 16,4 191 20,4 220 21,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2009 % 2014 % 2020 %
Altogether 811 100,0 936 100,0 1 049 100,0
At least one parking spot 610 75,2 715 76,4 850 81,0
At least one car 671 82,7 799 85,4 944 90,0
1 car 330 40,7 369 39,5 437 41,6
2 cars and over 341 42,1 430 45,9 508 48,4
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

Education and training in 2020

Municipality of Labourse (62480)

FOR T1 - Enrollment by age and sex in 2020

FOR T1 - Enrollment by age and sex in 2020
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 180 146 81,3 86,6 74,7
6 to 10 years old 251 247 98,4 99,1 97,8
11 to 14 years old 172 171 99,4 98,8 100,0
15 to 17 years old 128 127 99,2 100,0 98,3
18 to 24 years old 184 79 42,7 40,7 44,6
25 to 29 years old 162 2 1,3 1,2 1,3
30 years old and over 1 734 8 0,5 0,4 0,5
  • Source: Insee, RP2020 principal exploitation, geography at the 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2009 2014 2020
2 to 5 years old 79,2 71,3 81,3
6 to 10 years old 98,8 100,0 98,4
11 to 14 years old 99,2 98,6 99,4
15 to 17 years old 96,6 95,2 99,2
18 to 24 years old 42,0 32,4 42,7
25 to 29 years old 1,4 0,7 1,3
30 years old and over 0,3 0,1 0,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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
Altogether Male Female
Proportion of unschooled aged 15 years or above 1 992 936 1 056
Proportion of graduates in percentage
No diploma or primary education certificate 21,1 14,5 27,0
BEPC brevet des collèges or DNB 5,7 5,1 6,2
CAP, BEP or equivalent 31,1 39,0 24,2
Baccalauréat, brevet professionnel or equivalent 18,5 17,8 19,2
2 years at university 12,6 13,6 11,7
3 to 4 years at university 7,5 5,9 8,9
5 years and over at university 3,4 4,0 2,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 %)
2009 2020
No diploma or primary education certificate 37,2 21,1
BEPC brevet des collèges or DNB 7,4 5,7
CAP, BEP or equivalent 28,7 31,1
Baccalauréat, brevet professionnel or equivalent 13,8 18,5
2 years and over at university 12,8 23,5
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

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 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

Labor force, employment and unemployment within the sense of the census in 2020

Municipality of Labourse (62480)

EMP T1 - Population aged 15 to 64 by economic activity status

EMP T1 - Population aged 15 to 64 by economic activity status
2009 2014 2020
Altogether 1 478 1 672 1 849
Labor force in % 68,4 73,5 73,7
 including people in work in % 59,2 63,6 64,0
 including unemployed workers in % 9,2 10,0 9,6
Economically inactive people in % 31,6 26,5 26,3
 including pupils, students or interns in % 11,2 8,3 9,8
 including retirees in % 7,1 7,0 5,6
 including other economically inactive people in % 13,2 11,2 10,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 1 849 1 362 73,7 1 184 64,0
 15 to 24 years old 312 106 34,0 61 19,6
 25 to 54 years old 1 241 1 115 89,9 1 002 80,7
 55 to 64 years old 296 141 47,5 121 41,0
Male 925 730 78,9 638 69,0
 15 to 24 years old 157 54 34,5 30 18,9
 25 to 54 years old 615 591 96,2 536 87,2
 55 to 64 years old 153 84 55,0 73 47,6
Female 924 633 68,5 546 59,0
 15 to 24 years old 155 52 33,6 32 20,4
 25 to 54 years old 626 524 83,7 466 74,4
 55 to 64 years old 143 57 39,6 48 33,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 64,0
Unemployed workers 9,6
Retirees 5,6
Pupils, students or interns 9,8
Other economically inactive people 10,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2009 including people in work 2014 including people in work 2020 including people in work
Altogether 990 872 1 179 1 008 1 479 1 243
including
 Farmer operators 0 0 0 0 0 0
 Handicrafters, traders and business leaders 13 13 85 81 56 46
 Managers and higher intellectual professions 66 66 73 73 118 118
 Middle-level occupations 212 208 282 265 425 394
 Services employee 355 302 312 269 455 394
 Blue-collar workers 337 284 398 321 394 291
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2009 2014 2020
Number of unemployed workers 136 167 178
Unemployment rate in % 13,4 13,6 13,1
Unemployment of the 15-24 aged 29,7 38,1 42,3
Unemployment of the 25-54 aged 11,2 9,6 10,2
Unemployment of the 55-64 aged 10,3 14,1 13,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 22,3
BEPC brevet des collèges or DNB 13,9
CAP, BEP or equivalent 18,4
Baccalauréat, brevet professionnel or equivalent 14,3
2 years at university 6,8
3 to 4 years at university 3,5
5 years and over at university 1,6
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2009 2014 2020
Number of jobs in the area 515 539 590
People in work living in the area 878 1 065 1 190
Employment concentration indicator 58,6 50,6 49,6
Activity rate of 15 years old and over in % 57,4 61,8 62,0
  • 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, RP2009, RP2014 and RP2020, main holdings, place of residence and place of work, geography as of 01/01/2023.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2009 % 2014 % 2020 %
Altogether 515 100,0 539 100,0 590 100,0
Employee 477 92,6 487 90,4 531 89,9
 including women 144 28,0 160 29,8 182 30,9
 including part-time workers 80 15,5 97 18,1 81 13,7
Non-employee 38 7,4 52 9,6 59 10,1
 including women 20 3,9 24 4,5 26 4,3
 including part-time workers 5 1,0 5 1,0 11 1,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main workplaces, geography as of 01/01/2023.

EMP T7 - Employment by socioprofessional activity in 2020

EMP T7 - Employment by socioprofessional activity in 2020
Number %
Altogether 554 100,0
Farmer operators 0 0,0
Handicrafters, traders, business leaders 15 2,8
Managers and higher intellectual professions 18 3,3
Middle-level occupations 181 32,7
Services employee 146 26,3
Blue-collar workers 194 34,9
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2009 2014 2020
Farmer operators 0,0 0,0 0,0
Handicrafters, traders, business leaders 1,6 10,4 2,8
Managers and higher intellectual professions 4,0 4,8 3,3
Middle-level occupations 26,5 25,1 32,7
Services employee 23,9 15,3 26,3
Blue-collar workers 44,0 44,4 34,9
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2009 2014 2020
Number % Number % Number % including women in % including employees %
Altogether 521 100,0 598 100,0 554 100,0 39,4 93,6
Agriculture 0 0,0 5 0,8 0 0,0
Industry 322 61,8 293 49,1 240 43,2 16,3 100,0
Construction 15 2,9 43 7,3 37 6,7 0,0 86,3
Wholesale and retail trade/transports/accommodations and food service activities 58 11,1 118 19,7 100 18,0 33,3 79,6
Public administration/education/healthcare/social work 126 24,1 138 23,1 177 32,0 82,4 94,3
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020
Employees Non-employees
Agriculture
Industry 16,3
Construction 0,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 35,4 25,1
Public administration, education, healthcare, social work 84,4 49,5
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

Employment characteristics within the sense of the census in 2020

Municipality of Labourse (62480)

ACT T1 - People in work aged 15 years and over by status in 2020

ACT T1 - People in work aged 15 years and over by status in 2020
Number % of which % part-time of which % women
Altogether 1 190 100,0 17,7 46,0
Employees 1 074 90,2 18,2 46,2
Non-employees 117 9,8 13,1 43,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020
Male % Female %
Altogether 643 100 548 100
Employees 577 89,8 497 90,7
 Tenured personnel and open-ended employment contracts 510 79,3 427 78,0
 Fixed-term contracts 30 4,6 49 9,0
 Temporary employment 28 4,3 5 0,9
 Assisted jobs 4 0,6 7 1,3
 Apprenticeship contracts - Traineeship 6 1,0 8 1,5
Non-employees 65 10,2 51 9,3
 Self-employed 34 5,2 34 6,2
 Employers 32 4,9 15 2,8
 Caregivers 0 0,0 2 0,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020
Male of which % part-time Female of which % part-time
Altogether 575 4,6 497 33,6
15 to 24 years old 30 24,1 32 58,0
25 to 54 years old 484 3,2 426 31,5
55 to 64 years old 62 6,7 39 36,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %
2009 2014 2020
Male 3,6 4,0 5,0
Female 39,4 36,9 33,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT T4 - Working place of people in work aged 15 years and over living in the area

ACT T4 - Working place of people in work aged 15 years and over living in the area
2009 % 2014 % 2020 %
Altogether 878 100 1 065 100 1 190 100
working:
in the same municipality they live in 111 12,7 143 13,4 161 13,5
in a different municipality 767 87,3 922 86,6 1 030 86,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

ACT G2 - Usual method of travel to work in 2020
in %
No travel 3,7
Walk 3,4
Bicycle 0,9
Motorized two-wheel vehicle 1,1
Car or truck 86,9
Public transportation 4,0
  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

Municipality of Labourse (62480)

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 23 25 31 25 23 31 29 28 26
Domiciled births 34 45 33 32 41 34 30 25 30
  • 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

Municipality of Labourse (62480)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
2021
Number of tax households 1 058
Number of people in tax households 2 807
Median disposable income (per consumption unit in euros) 22 080
Share of actually taxed tax households (in %) 48
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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
Less than 30 years old
30 to 39 years old
40 to 49 years old
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 01/01/2023.

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 01/01/2023.

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
Homeowner
Tenant 33
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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 01/01/2023.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
share in %
Altogether 100,0
Work income 83,3
including wages 74,8
including unemployment pensions 2,7
including self-employed income 5,8
Retirement pension or annuity 20,2
Capital income (real estate, financial, others) 3,8
Social benefits 6,6
including child benefit 2,8
including income support 2,7
including housing benefit 1,1
Tax –13,9
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
2021
Median disposable income (per consumption unit in euros) 22 080
Inter-decile ratio 2,9
1st decile (in euros) 12 510
9th decile (in euros) 35 740
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

Salaries and earned income in 2021

Municipality of Labourse (62480)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021
Altogether Female Male
Altogether 15,1 13,4 16,1
Managerial staff* * 24,8 23,9 25,0
Intermediate professions* 16,4 15,5 17,0
Employees* 11,4 10,9 13,7
Workers* 12,5 10,6 12,7
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021
Difference (in%)
Altogether –16,9
Managerial staff* * –4,4
Intermediate professions* –8,9
Employees* –20,7
Workers* –16,6
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL T1 - Net average hourly wage (in euros) by age in 2021

SAL T1 - Net average hourly wage (in euros) by age in 2021
Altogether Female Male
15 to 25 years old 10,7 9,2 11,3
26 to 50 years old 15,1 13,1 16,3
50 years old or above 16,5 15,4 17,0
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021
Gender pay gap (in%)
15 to 25 years old –19,1
26 to 50 years old –19,7
50 years old or above –9,2
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

Business and establishment set-ups in 2022

Municipality of Labourse (62480)

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 17 100,0 14 82,4
Industry 0 0,0 0
Construction 2 11,8 1 50,0
Wholesale and retail trade/transports/accommodations and food service activities 2 11,8 2 100,0
Information/communication 0 0,0 0
Finance and insurance activities 1 5,9 0 0,0
Real estate activities 2 11,8 1 50,0
Professional/scientific/technical activites/administrative and support service activities 1 5,9 1 100,0
Public administration/education/healthcare/social work 1 5,9 1 100,0
Other service activities 8 47,1 8 100,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2023.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Altogether 19 17 8 13 24 13 23 15 22 17
Sole proprietorship 14 13 7 10 22 12 19 11 14 14
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

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

DEN T4 - Business set-ups by economic sectors in 2022
Altogether %
Altogether 17 100,0
Industry 0 0,0
Construction 3 17,6
Wholesale and retail trade/transports/accommodations and food service activities 2 11,8
Information/communication 0 0,0
Finance and insurance activities 1 5,9
Real estate activities 2 11,8
Professional/scientific/technical activites/administrative and support service activities 1 5,9
Public administration/education/healthcare/social work 1 5,9
Other service activities by the number of business creations including free lancers 7 41,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Créations d'établissements 17 17 7 15 24 15 20 14 23 17
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

Number of enterprises and establishments in 2021

Municipality of Labourse (62480)

DEN T3 - Number of enterprises by economic sector on the 31st of December 2020

DEN T3 - Number of enterprises by economic sector on the 31st of December 2020
Number %
Altogether 124 100,0
Industry 15 12,1
Construction 21 16,9
Wholesale and retail trade/transports/accommodations and food service activities 34 27,4
Information/communication 1 0,8
Finance and insurance activities 6 4,8
Real estate activities 2 1,6
Professional/scientific/technical activites/administrative and support service activities 17 13,7
Public administration/education/human health/social work 10 8,1
Other service activities 18 14,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T5 - Number of establishments by economic sector on the 31st of December 2020

DEN T5 - Number of establishments by economic sector on the 31st of December 2020
Number %
Altogether 139 100,0
Industry 22 15,8
Construction 21 15,1
Wholesale and retail trade/transports/accommodations and food service activities 39 28,1
Information/communication 1 0,7
Finance and insurance activities 6 4,3
Real estate activities 2 1,4
Professional/scientific/technical activites/administrative and support service activities 16 11,5
Public administration/education/human health/social work 13 9,4
Other service activities 19 13,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2024

Municipality of Labourse (62480)

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 01/01/2023.

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 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 01/01/2023.

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 01/01/2023.

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 of businesses and establishments of all non-agricultural 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.

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units of all non-agricultural market activities. This scope 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.

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 2009, 2014, 2020: dissemination in the municipalities of France outside Mayotte in geography on 2023;

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 01/01/2023;

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 01/01/2023;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2023;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2023;

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 01/01/2023

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.