données locales

Paru le : 21/02/2023

Full set of local data Municipality of Custines (54150)

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

Growth and structure of the population in 2019

Municipality of Custines (54150)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 2 978 100,0 2 831 100,0 3 082 100,0
0 to 14 years old 583 19,6 501 17,7 607 19,7
15 to 29 years old 485 16,3 480 17,0 510 16,5
30 to 44 years old 659 22,1 530 18,7 607 19,7
45 to 59 years old 638 21,4 644 22,8 613 19,9
60 to 74 years old 407 13,7 452 16,0 478 15,5
75 and over 207 6,9 223 7,9 267 8,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 19,6 17,7 19,7
15 to 29 years old 16,3 17,0 16,5
30 to 44 years old 22,1 18,7 19,7
45 to 59 years old 21,4 22,8 19,9
60 to 74 years old 13,7 16,0 15,5
75 and over 6,9 7,9 8,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

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

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 3 046 2 900 2 841 2 813 2 991 2 978 2 831 3 082
Average density (inhab / km²) 259,0 246,6 241,6 239,2 254,3 253,2 240,7 262,1
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % –0,7 –0,3 –0,1 0,7 –0,0 –1,0 1,4
due to the natural balance in % 1,1 0,6 0,6 0,5 0,5 0,3 0,2
due to the apparent balance of inflows and outflows in % –1,8 –0,9 –0,7 0,2 –0,6 –1,3 1,2
Natality rate (‰) 16,2 12,8 12,6 11,7 12,1 11,0 9,7
Mortality rate (‰) 5,5 7,1 7,1 6,8 6,8 7,6 7,3
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 1 474 100,0 1 608 100,0
0 to 14 years old 304 20,6 302 18,8
15 to 29 years old 249 16,9 261 16,2
30 to 44 years old 300 20,4 307 19,1
45 to 59 years old 307 20,9 306 19,0
60 to 74 years old 213 14,4 265 16,5
75 to 89 years old 95 6,5 149 9,3
90 years and over 5 0,3 18 1,1
0 to 19 years old 392 26,6 394 24,5
20 to 64 years old 850 57,7 880 54,7
65 and over 232 15,7 334 20,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 2 796 100,0 3 043 100,0
In the same house 2 514 89,9 2 768 91,0
In another house in the same town 61 2,2 62 2,0
In another town 221 7,9 213 7,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 25,7 74,3
15 to 24 years old 14,8 85,2
25 to 54 years old 18,1 81,9
55 years old and over 48,0 52,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 2 378 100,0 2 279 100,0 2 489 100,0
Farmer operators 4 0,2 0 0,0 5 0,2
Craftsmen, traders, business leaders 52 2,2 63 2,8 45 1,8
Managers and higher intellectual professions 183 7,7 106 4,7 180 7,2
Middle-level occupations 405 17,0 423 18,6 380 15,3
Services employee 425 17,9 398 17,5 486 19,5
Blue-collar workers 408 17,2 389 17,1 360 14,5
Retirees 578 24,3 644 28,3 718 28,9
Other people with no professional activity 324 13,6 256 11,2 315 12,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 1 212 1 277 100,0 100,0 100,0
Farmer operators 5 0 0,0 0,4 0,0
Craftsmen, traders, business leaders 40 5 0,0 3,2 0,5
Managers and higher intellectual professions 125 55 1,6 10,7 4,3
Middle-level occupations 140 240 11,5 24,6 3,8
Services employee 130 355 9,9 32,2 5,4
Blue-collar workers 310 50 14,7 21,0 5,4
Retirees 326 392 0,0 0,4 77,2
Other people without professional activity 135 180 62,3 7,5 3,3
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Custines (54150)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 1 190 100,0 1 211 100,0 1 314 100,0 2 969 2 830 3 083
One-person households (male and female) 283 23,8 347 28,6 378 28,7 283 347 378
 Single Male 131 11,0 153 12,6 156 11,9 131 153 156
 Single Female 152 12,7 194 16,0 222 16,9 152 194 222
Other households without families 36 3,0 24 2,0 20 1,5 92 60 50
Family households: 871 73,2 840 69,4 916 69,7 2 594 2 424 2 655
 Couple with no children 327 27,5 347 28,7 341 26,0 669 714 693
 Couple with children 428 36,0 377 31,2 444 33,8 1 652 1 431 1 652
 Single parent 116 9,8 116 9,6 130 9,9 273 280 311
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 3,90 3,48 3,17 2,93 2,73 2,50 2,34 2,35
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 0,0 2,3 0,0
20 to 24 years old 5,1 4,3 4,6
25 to 39 years old 7,4 7,3 8,9
40 to 54 years old 8,2 12,4 9,6
55 to 64 years old 15,9 19,1 20,2
65 to 79 years old 21,5 24,8 25,4
80 and over 43,9 47,2 50,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

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

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

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 1,4 0,0 0,6
20 to 24 years old 23,1 23,9 23,7
25 to 39 years old 77,9 77,0 75,1
40 to 54 years old 79,5 75,6 75,2
55 to 64 years old 77,8 74,5 76,1
65 to 79 years old 72,3 70,0 69,7
80 and over 35,0 48,7 41,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 44,3
Civil partnership 7,3
In cohabitation 12,3
Widowed 7,5
Divorced 5,7
Single 22,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 1 314 100,0 3 083 100,0
Farmer operators 0 0,0 0 0,0
Craftsmen, traders, business leaders 40 3,1 105 3,4
Managers and higher intellectual professions 120 9,2 325 10,5
Middle-level occupations 175 13,3 515 16,7
Services employee 270 20,6 740 24,0
Blue-collar workers 240 18,3 665 21,6
Retirees 422 32,1 683 22,2
Other people with no professional activity 45 3,4 50 1,6
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,0
Handicrafters, traders, business leaders 3,1
Managers and higher intellectual professions 9,2
Middle-level occupations 13,3
Services employee 20,6
Blue-collar workers 18,3
Retirees 32,1
Unemployed persons 3,4
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

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

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 879 100,0 848 100,0 921 100,0
Couple with children 428 48,7 377 44,5 444 48,2
Single parent 124 14,1 116 13,7 135 14,7
Male single parent 28 3,2 24 2,8 35 3,8
Female single parent 96 10,9 92 10,9 100 10,9
Couple with no children 327 37,2 355 41,8 341 37,1
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

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

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 879 100,0 848 100,0 921 100,0
No children 371 42,2 407 47,9 401 43,6
1 child 239 27,2 179 21,1 255 27,7
2 children 185 21,0 202 23,8 200 21,7
3 children 66 7,5 53 6,3 60 6,5
4 children and over 19 2,2 7 0,9 5 0,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Custines (54150)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Altogether 822 877 947 1 011 1 166 1 250 1 298 1 400
Main residences 778 829 894 959 1 097 1 190 1 212 1 312
Second homes 14 14 9 10 26 1 4 7
Vacant dwellings 30 34 44 42 43 59 82 81
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2008 % 2013 % 2019 %
Altogether 1 250 100,0 1 298 100,0 1 400 100,0
Main residences 1 190 95,2 1 212 93,4 1 312 93,7
Second homes 1 0,1 4 0,3 7 0,5
Vacant dwellings 59 4,7 82 6,3 81 5,8
Houses 958 76,6 973 74,9 1 030 73,6
Flats 291 23,3 324 25,0 366 26,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 1 190 100,0 1 212 100,0 1 312 100,0
1 room 2 0,2 2 0,2 4 0,3
2 rooms 89 7,4 88 7,3 92 7,0
3 rooms 200 16,8 195 16,1 210 16,0
4 rooms 340 28,5 347 28,6 386 29,4
5 rooms and over 560 47,0 580 47,8 620 47,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 4,4 4,5 4,4
Houses 4,8 4,9 4,9
Flats 3,1 3,1 3,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 1,1
Non-over-occupied 98,9
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

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

LOG T5 - Main residences in 2019 by completion period

LOG T5 - Main residences in 2019 by completion period
Number %
Principal residences build before 2016 1 302 100,0
before 1919 64 4,9
from 1919 to 1945 72 5,5
from 1946 to 1970 421 32,4
from 1971 to 1990 327 25,1
from 1991 to 2005 218 16,8
from 2006 to 2015 198 15,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 40 24
from 1919 to 1945 53 19
from 1946 to 1970 369 51
from 1971 to 1990 276 50
from 1991 to 2005 141 76
from 2006 to 2015 85 114
  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T6 - Main residence tenure in 2019

LOG T6 - Main residence tenure in 2019
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 1 312 100,0 3 082 4,4 1,9
Less than 2 years 123 9,4 296 3,8 1,6
From 2 to 4 years 289 22,0 716 3,8 1,5
From 5 to 9 years 186 14,2 519 4,6 1,6
10 years and over 713 54,4 1 551 4,8 2,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 9,4
From 2 to 4 years 22,0
From 5 to 9 years 14,2
From 10 to 19 years 18,6
From 20 to 29 years 10,7
30 years and over 25,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

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

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 1 190 100,0 1 212 100,0 1 312 100,0 3 082 18,0
Homeowner 805 67,7 819 67,6 839 64,0 2 050 24,0
Tenant 372 31,2 376 31,0 464 35,3 1 007 7,2
(including social sector housing) 229 19,2 205 16,9 301 22,9 649 7,8
Housed for free 13 1,1 17 1,4 9 0,7 25 13,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2008 % 2013 % 2019 %
Altogether 1 190 100,0 1 212 100,0 1 312 100,0
Bathroom including a shower or a bath 1 169 98,2 1 185 97,8 1 279 97,5
Collective central heating 20 1,7 18 1,5 20 1,5
Individual central heating 856 71,9 827 68,2 856 65,3
Individual electric heating 193 16,2 208 17,2 306 23,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2008 % 2013 % 2019 %
Altogether 1 190 100,0 1 212 100,0 1 312 100,0
At least one parking spot 821 69,0 816 67,3 915 69,8
At least one car 1 025 86,1 1 045 86,2 1 164 88,7
1 car 554 46,6 559 46,1 608 46,3
2 cars and over 471 39,6 485 40,1 556 42,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Custines (54150)

FOR T1 - Enrollment by age and sex in 2019

FOR T1 - Enrollment by age and sex in 2019
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 172 110 63,9 57,3 71,1
6 to 10 years old 203 197 97,0 95,0 99,0
11 to 14 years old 164 162 98,8 100,0 97,7
15 to 17 years old 116 114 98,3 96,2 100,0
18 to 24 years old 216 105 48,6 49,5 47,6
25 to 29 years old 178 9 5,0 5,9 4,3
30 years old and over 1 965 14 0,7 0,5 0,9
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 76,4 75,0 63,9
6 to 10 years old 98,2 98,2 97,0
11 to 14 years old 100,0 100,0 98,8
15 to 17 years old 94,8 97,3 98,3
18 to 24 years old 45,3 52,0 48,6
25 to 29 years old 5,1 3,7 5,0
30 years old and over 0,5 0,9 0,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

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

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

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 2 234 1 054 1 180
Proportion of graduates in percentage
No diploma or primary education certificate 21,6 17,5 25,2
BEPC brevet des collèges or DNB 3,7 2,9 4,4
CAP, BEP or equivalent 33,8 38,6 29,5
Baccalauréat, brevet professionnel or equivalent 16,2 17,7 14,9
2 years at university 12,1 12,1 12,2
3 to 4 years at university 8,0 6,3 9,6
5 years and over at university 4,5 4,9 4,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 32,5 21,6
BEPC brevet des collèges or DNB 4,3 3,7
CAP, BEP or equivalent 33,8 33,8
Baccalauréat, brevet professionnel or equivalent 13,3 16,2
2 years and over at university 16,1 24,7
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

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

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

Labor force, employment and unemployment within the sense of the census in 2019

Municipality of Custines (54150)

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

EMP T1 - Population aged 15 to 64 by economic activity status
2008 2013 2019
Altogether 1 919 1 845 1 910
Labor force in % 73,7 75,6 77,8
 including people in work in % 68,4 69,0 68,7
 including unemployed workers in % 5,3 6,6 9,1
Economically inactive people in % 26,3 24,4 22,2
 including pupils, students or interns in % 9,8 9,3 8,6
 including retirees in % 9,4 9,6 8,0
 including other economically inactive people in % 7,1 5,5 5,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 1 910 1 486 77,8 1 312 68,7
 15 to 24 years old 332 155 46,7 109 32,9
 25 to 54 years old 1 219 1 152 94,5 1 043 85,6
 55 to 64 years old 358 179 49,8 160 44,5
Male 938 752 80,2 668 71,3
 15 to 24 years old 164 83 50,6 61 37,2
 25 to 54 years old 598 577 96,5 527 88,1
 55 to 64 years old 176 92 52,6 80 45,7
Female 972 734 75,5 644 66,2
 15 to 24 years old 168 72 42,9 48 28,6
 25 to 54 years old 621 575 92,6 516 83,1
 55 to 64 years old 183 86 47,3 79 43,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 68,7
Unemployed workers 9,1
Retirees 8,0
Pupils, students or interns 8,6
Other economically inactive people 5,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 1 488 1 369 1 379 1 272 1 446 1 286
including
 Farmer operators 4 4 0 0 5 5
 Handicrafters, traders and business leaders 52 44 63 63 45 40
 Managers and higher intellectual professions 183 179 102 102 180 170
 Middle-level occupations 401 389 423 408 375 345
 Services employee 425 389 398 358 475 430
 Blue-collar workers 408 364 389 341 360 295
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 101 121 174
Unemployment rate in % 7,2 8,7 11,7
Unemployment of the 15-24 aged 10,8 22,7 29,7
Unemployment of the 25-54 aged 6,7 6,9 9,5
Unemployment of the 55-64 aged 6,7 8,8 10,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 27,3
BEPC brevet des collèges or DNB 13,2
CAP, BEP or equivalent 12,1
Baccalauréat, brevet professionnel or equivalent 13,2
2 years at university 8,1
3 to 4 years at university 3,2
5 years and over at university 6,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 1 890 1 722 1 513
People in work living in the area 1 319 1 276 1 321
Employment concentration indicator 143,3 135,0 114,6
Activity rate of 15 years old and over in % 59,3 60,0 60,5
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 1 890 100,0 1 722 100,0 1 513 100,0
Employee 1 784 94,4 1 606 93,3 1 413 93,4
 including women 552 29,2 479 27,8 477 31,5
 including part-time workers 202 10,7 188 10,9 155 10,3
Non-employee 106 5,6 116 6,7 100 6,6
 including women 36 1,9 36 2,1 37 2,5
 including part-time workers 11 0,6 11 0,6 3 0,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 1 606 100,0
Farmer operators 6 0,4
Handicrafters, traders, business leaders 96 6,0
Managers and higher intellectual professions 185 11,5
Middle-level occupations 482 30,0
Services employee 268 16,7
Blue-collar workers 570 35,5
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 0,2 0,2 0,4
Handicrafters, traders, business leaders 2,0 4,0 6,0
Managers and higher intellectual professions 11,6 8,1 11,5
Middle-level occupations 22,5 31,0 30,0
Services employee 18,1 17,3 16,7
Blue-collar workers 45,6 39,4 35,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 1 880 100,0 1 635 100,0 1 606 100,0 35,6 91,3
Agriculture 4 0,2 4 0,2 5 0,3 0,0 0,0
Industry 847 45,1 686 42,0 504 31,4 15,2 99,4
Construction 83 4,4 118 7,2 104 6,5 12,2 74,8
Wholesale and retail trade/transports/accommodations and food service activities 709 37,7 593 36,3 757 47,1 37,8 90,1
Public administration/education/healthcare/social work 237 12,6 234 14,3 235 14,7 83,6 87,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 0,0
Industry 15,3 0,0
Construction 16,3 0,0
Wholesale and retail trade, transports, accommodations and food service activities 39,8 20,0
Public administration, education, healthcare, social work 86,1 66,2
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

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

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

Characteristics of employment in the sense of the census in 2019

Municipality of Custines (54150)

ACT T1 - Population aged 15 years or over having a job by status in 2019

ACT T1 - Population aged 15 years or over having a job by status in 2019
Number % of which% part-time of which% women
Altogether 1 321 100,0 15,8 49,1
Employees 1 239 93,8 16,1 50,2
Non-employees 82 6,2 11,0 32,9
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 672 100 649 100
Employees 617 91,8 622 95,8
 Tenured personnel and open-ended employment contracts 537 79,9 538 82,9
 Fixed-term employment contracts 32 4,8 60 9,3
 Temporary employment 15 2,2 7 1,1
 Assisted jobs 5 0,7 4 0,6
 Apprentice ship contract - Traineeship 28 4,2 13 2,0
Non-employees 55 8,2 27 4,2
 Independents 25 3,7 22 3,4
 Employers 30 4,5 4 0,6
 Caregivers 0 0,0 1 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 613 3,9 617 27,6
15 to 24 years old 60 11,7 44 43,1
25 to 54 years old 480 3,3 497 25,3
55 to 64 years old 73 1,4 75 33,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 3,3 4,0 4,2
Female 33,6 28,1 28,0
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 1 319 100 1 276 100 1 321 100
working :
in their residential zone 276 20,9 241 18,9 234 17,7
in another zone 1 043 79,1 1 035 81,1 1 087 82,3
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 3,2
Walking 3,3
Bicycle 0,2
Motorized two-wheeled vehicles 0,9
Car or truck 88,9
Public transports 3,5
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

Births and Deaths of people with usual residence in the area, 2014-2021

Municipality of Custines (54150)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021
Domiciled deaths 18 21 26 23 22 19 27 21
Domiciled births 31 29 34 24 24 30 29 33
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2022.

Household income and poverty in 2020

Municipality of Custines (54150)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 1 312
Number of people in tax households 3 040
Median disposable income (per consumption unit in euros) 22 830
Share of actually taxed tax households (in %) 52
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 7
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 01/01/2022.

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

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

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 7
Homeowner
Tenant
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

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

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 74,4
including wages 67,1
including unemployment pensions 2,7
including self-employed income 4,6
Retirement pension or annuity 28,6
Capital income (real estate, financial, others) 5,3
Social benefits 5,7
including child benefit 2,3
including income support 2,4
including housing benefit 1,0
Tax –14,0
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 22 830
Inter-decile ratio 2,5
1st decile (in euros) 14 270
9th decile (in euros) 35 430
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

Municipality of Custines (54150)

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

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 14,6 13,4 15,4
Managerial staff* 23,9 23,3 24,2
Middle-level occupations 15,8 14,6 16,7
Services employee 11,5 11,4 11,9
Blue-collar workers 12,5 10,2 12,9
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –13,0
Managerial staff* –3,5
Middle-level occupations –12,8
Services employee –3,7
Blue-collar workers –20,6
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL T1 - Average net hourly wage (in euros) by age in 2020

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 10,4 10,0 10,7
26 to 50 years old 14,2 13,2 14,9
50 years old or over 16,8 15,0 17,9
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –6,5
26 to 50 years old –11,3
50 years old and over –16,1
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

Characteristics of establishments at the end of 2020

Municipality of Custines (54150)

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

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 or more employees
Altogether 97 100,0 10 58 29
Agriculture, forestry and fishing* 0 0,0 0 0 0
Industrial economy* 11 11,3 0 2 9
Building industry* 21 21,6 4 15 2
Trade, transport, various services* 55 56,7 6 36 13
including trade and car repair 22 22,7 1 16 5
Administration publique, enseignement, santé, action sociale 10 10,3 0 5 5
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020
Total % 1 to 9 employee(s) 10 or more employees
Altogether 1 497 100,0 179 1 318
Agriculture, forestry and fishing 0 0,0 0 0
Industrial economy 479 32,0 5 474
Building industry 134 9,0 55 79
Trade, transport, various services 694 46,4 106 588
including trade and car repair 251 16,8 55 196
Administration publique, enseignement, santé, action sociale 190 12,7 13 177
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

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

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 10,3
Trade, transport, various services* 56,7
Building industry* 21,6
Industrial economy* 11,3
Agriculture, forestry and fishing* 0,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

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

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

RES G2P - Distribution of active employer establishments by size at the end of 2020

RES G2P - Distribution of active employer establishments by size at the end of 2020
%
10 or more employees 29,9
1 to 10 employee(s) 59,8
0 employee 10,3
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2P - Distribution of active employer establishments by size at the end of 2020

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

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 97 100,0 1 497 100,0
Productive sphere* 36 37,1 1 007 67,3
of which public domain* 0 0,0 0 0,0
Presential sphere 61 62,9 490 32,7
of which public domain* 7 7,2 128 8,6
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 114 100,0
Employers of childminders 68 59,6
Employers of other employees 46 40,4
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

Municipality of Custines (54150)

DEN T1 - Business set-ups by sector of activity in 2021

DEN T1 - Business set-ups by sector of activity in 2021
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 34 100,0 25 73,5
Industry 1 2,9 1 100,0
Construction 4 11,8 1 25,0
Wholesale and retail trade/transports/accommodations and food service activities 10 29,4 7 70,0
Information/communication 0 0,0 0
Finance and insurance activities 1 2,9 0 0,0
Real estate activities 1 2,9 1 100,0
Professional/scientific/technical activites/administrative and support service activities 9 26,5 7 77,8
Public administration/education/healthcare/social work 5 14,7 5 100,0
Other service activities 3 8,8 3 100,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 12 12 19 9 14 13 21 14 29 34
Sole proprietorship 10 10 16 8 11 10 14 10 22 25
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

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

DEN T3 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 175 100,0
Industry 15 8,6
Construction 37 21,1
Wholesale and retail trade/transports/accommodations and food service activities 43 24,6
Information/communication 2 1,1
Finance and insurance activities 6 3,4
Real estate activities 8 4,6
Professional/scientific/technical activites/administrative and support service activities 25 14,3
Public administration/education/human health/social work 27 15,4
Other service activities 12 6,9
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T4 - Business set-ups by economic sectors in 2021

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 33 100,0
Industry 2 6,1
Construction 4 12,1
Wholesale and retail trade/transports/accommodations and food service activities 9 27,3
Information/communication 0 0,0
Finance and insurance activities 1 3,0
Real estate activities 1 3,0
Professional/scientific/technical activites/administrative and support service activities 9 27,3
Public administration/education/healthcare/social work 4 12,1
Other service activities by the number of business creations including free lancers 3 9,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 15 13 21 13 25 23 24 20 32 33
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

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

DEN T5 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 214 100,0
Industry 24 11,2
Construction 41 19,2
Wholesale and retail trade/transports/accommodations and food service activities 54 25,2
Information/communication 2 0,9
Finance and insurance activities 8 3,7
Real estate activities 9 4,2
Professional/scientific/technical activites/administrative and support service activities 32 15,0
Public administration/education/human health/social work 31 14,5
Other service activities 13 6,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Municipality of Custines (54150)

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

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 1 29
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 29
  • Source: Insee, territorial partners in geography as of 01/01/2022.

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

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

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

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

Définitions

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

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

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

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

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

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

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

Champ

Population censuses

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

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

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

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

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

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

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

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

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

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

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

All employees databases

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

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

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

Register of enterprises and establishments (REE)

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

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

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

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

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Hotel occupancy survey

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

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

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

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

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

Géographie

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

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

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

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

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

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

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

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Statistical confidentiality of the Bases All employees

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

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

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

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