données locales

Paru le : 21/02/2023

Full set of local data Municipality of Anzin-Saint-Aubin (62037)

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

Growth and structure of the population in 2019

Municipality of Anzin-Saint-Aubin (62037)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 2 788 100,0 2 706 100,0 2 751 100,0
0 to 14 years old 503 18,1 455 16,8 441 16,0
15 to 29 years old 455 16,3 371 13,7 337 12,3
30 to 44 years old 574 20,6 491 18,1 464 16,9
45 to 59 years old 798 28,6 748 27,6 685 24,9
60 to 74 years old 343 12,3 486 18,0 601 21,9
75 and over 114 4,1 156 5,8 223 8,1
  • 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 18,1 16,8 16,0
15 to 29 years old 16,3 13,7 12,3
30 to 44 years old 20,6 18,1 16,9
45 to 59 years old 28,6 27,6 24,9
60 to 74 years old 12,3 18,0 21,9
75 and over 4,1 5,8 8,1
  • 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 1 052 1 278 1 726 2 543 2 470 2 788 2 706 2 751
Average density (inhab / km²) 205,1 249,1 336,5 495,7 481,5 543,5 527,5 536,3
  • (*) 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 % 2,8 4,4 5,0 –0,3 1,4 –0,6 0,3
due to the natural balance in % 0,7 0,3 1,3 0,5 0,7 0,3 0,2
due to the apparent balance of inflows and outflows in % 2,1 4,1 3,7 –0,8 0,7 –0,9 0,1
Natality rate (‰) 16,1 9,7 18,0 9,2 10,9 7,5 8,0
Mortality rate (‰) 9,1 7,2 5,0 4,3 4,3 4,8 6,2
  • 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 1 336 100,0 1 415 100,0
0 to 14 years old 236 17,6 205 14,5
15 to 29 years old 184 13,8 153 10,8
30 to 44 years old 215 16,1 249 17,6
45 to 59 years old 321 24,1 363 25,7
60 to 74 years old 288 21,6 313 22,1
75 to 89 years old 87 6,5 120 8,5
90 years and over 5 0,4 11 0,8
0 to 19 years old 310 23,2 254 18,0
20 to 64 years old 766 57,3 837 59,2
65 and over 260 19,4 323 22,9
  • 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: 2 683 100,0 2 725 100,0
In the same house 2 461 91,7 2 462 90,4
In another house in the same town 23 0,9 44 1,6
In another town 199 7,4 218 8,0
  • 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 19,3 80,7
15 to 24 years old 16,5 83,5
25 to 54 years old 16,7 83,3
55 years old and over 14,2 85,8
  • 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 2 326 100,0 2 267 100,0 2 297 100,0
Farmer operators 0 0,0 4 0,2 5 0,2
Craftsmen, traders, business leaders 94 4,1 63 2,8 65 2,8
Managers and higher intellectual professions 442 19,0 384 17,0 324 14,1
Middle-level occupations 389 16,7 464 20,5 504 21,9
Services employee 290 12,5 293 12,9 316 13,8
Blue-collar workers 188 8,1 173 7,6 141 6,1
Retirees 456 19,6 616 27,2 631 27,5
Other people with no professional activity 466 20,0 270 11,9 311 13,5
  • 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 1 065 1 233 100,0 100,0 100,0
Farmer operators 5 0 0,0 0,5 0,0
Craftsmen, traders, business leaders 45 20 0,0 4,7 1,6
Managers and higher intellectual professions 192 132 1,9 21,1 10,1
Middle-level occupations 234 270 7,5 39,6 7,4
Services employee 75 242 18,0 18,8 7,4
Blue-collar workers 115 26 4,0 9,5 3,2
Retirees 290 341 0,0 0,5 63,0
Other people without professional activity 109 202 68,6 5,2 7,3
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Anzin-Saint-Aubin (62037)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 1 069 100,0 1 147 100,0 1 229 100,0 2 793 2 696 2 739
One-person households (male and female) 188 17,6 273 23,8 329 26,7 188 273 329
 Single Male 41 3,9 102 8,9 128 10,4 41 102 128
 Single Female 147 13,7 171 14,9 201 16,3 147 171 201
Other households without families 4 0,4 9 0,8 5 0,4 9 17 10
Family households: 877 82,0 865 75,4 895 72,8 2 596 2 405 2 399
 Couple with no children 369 34,5 421 36,7 461 37,5 758 846 928
 Couple with children 439 41,0 373 32,5 312 25,4 1 670 1 378 1 166
 Single parent 69 6,5 71 6,2 122 9,9 168 181 306
  • 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 3,47 3,46 3,20 3,22 2,88 2,61 2,36 2,23
  • (*) 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 0,0 1,8
20 to 24 years old 0,9 6,4 13,5
25 to 39 years old 2,0 8,2 9,3
40 to 54 years old 5,4 9,2 8,3
55 to 64 years old 11,1 12,7 16,5
65 to 79 years old 25,0 21,4 20,2
80 and over 42,5 44,3 46,7
  • 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 0,5 1,4 0,0
20 to 24 years old 12,0 20,7 13,8
25 to 39 years old 83,6 77,2 73,8
40 to 54 years old 87,1 81,3 80,2
55 to 64 years old 86,4 84,0 80,1
65 to 79 years old 68,0 75,3 76,8
80 and over 47,4 42,7 48,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 55,0
Civil partnership 5,5
In cohabitation 10,1
Widowed 6,1
Divorced 6,9
Single 16,4
  • 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 1 229 100,0 2 739 100,0
Farmer operators 5 0,4 15 0,5
Craftsmen, traders, business leaders 40 3,2 113 4,1
Managers and higher intellectual professions 195 15,9 453 16,5
Middle-level occupations 338 27,5 887 32,4
Services employee 162 13,2 416 15,2
Blue-collar workers 97 7,9 238 8,7
Retirees 355 28,9 563 20,6
Other people with no professional activity 38 3,1 54 2,0
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,4
Handicrafters, traders, business leaders 3,2
Managers and higher intellectual professions 15,9
Middle-level occupations 27,5
Services employee 13,2
Blue-collar workers 7,9
Retirees 28,9
Unemployed persons 3,1
  • 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 881 100,0 869 100,0 895 100,0
Couple with children 442 50,2 373 42,9 312 34,8
Single parent 69 7,9 75 8,6 122 13,6
Male single parent 0 0,0 8 0,9 26 2,9
Female single parent 69 7,9 67 7,7 96 10,8
Couple with no children 369 41,9 421 48,4 461 51,5
  • 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 881 100,0 869 100,0 895 100,0
No children 408 46,3 462 53,2 497 55,5
1 child 186 21,2 192 22,1 171 19,1
2 children 228 25,9 172 19,8 183 20,4
3 children 51 5,8 32 3,7 40 4,4
4 children and over 7 0,8 10 1,2 4 0,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Anzin-Saint-Aubin (62037)

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 324 387 631 822 878 1 095 1 201 1 292
Main residences 303 369 540 789 857 1 068 1 149 1 232
Second homes 10 7 4 12 6 3 8 6
Vacant dwellings 11 11 87 21 15 24 43 54
  • (*) 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 1 095 100,0 1 201 100,0 1 292 100,0
Main residences 1 068 97,5 1 149 95,7 1 232 95,4
Second homes 3 0,3 8 0,7 6 0,5
Vacant dwellings 24 2,2 43 3,6 54 4,2
Houses 1 086 99,2 1 107 92,2 1 148 88,9
Flats 8 0,7 93 7,7 144 11,1
  • 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 1 068 100,0 1 149 100,0 1 232 100,0
1 room 0 0,0 6 0,5 11 0,9
2 rooms 11 1,0 40 3,4 54 4,4
3 rooms 39 3,6 84 7,3 122 9,9
4 rooms 235 22,0 295 25,7 250 20,3
5 rooms and over 783 73,4 725 63,1 795 64,6
  • 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 5,4 5,1 5,1
Houses 5,4 5,3 5,4
Flats 3,3 2,7 2,7
  • 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 0,9
Non-over-occupied 99,1
  • 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 1 231 100,0
before 1919 47 3,8
from 1919 to 1945 74 6,0
from 1946 to 1970 154 12,5
from 1971 to 1990 516 42,0
from 1991 to 2005 220 17,8
from 2006 to 2015 220 17,8
  • 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 46 1
from 1919 to 1945 74 0
from 1946 to 1970 153 1
from 1971 to 1990 513 3
from 1991 to 2005 208 12
from 2006 to 2015 99 120
  • 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 1 232 100,0 2 751 5,1 2,3
Less than 2 years 132 10,8 273 4,0 1,9
From 2 to 4 years 191 15,5 465 4,5 1,9
From 5 to 9 years 200 16,3 478 4,6 1,9
10 years and over 708 57,5 1 535 5,5 2,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 10,8
From 2 to 4 years 15,5
From 5 to 9 years 16,3
From 10 to 19 years 17,9
From 20 to 29 years 13,7
30 years and over 25,8
  • 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 1 068 100,0 1 149 100,0 1 232 100,0 2 751 17,6
Homeowner 925 86,7 926 80,6 934 75,8 2 162 21,6
Tenant 127 11,9 206 17,9 288 23,4 570 4,3
(including social sector housing) 22 2,0 53 4,6 71 5,8 141 6,5
Housed for free 15 1,4 17 1,5 9 0,8 18 26,3
  • 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 1 068 100,0 1 149 100,0 1 232 100,0
Bathroom including a shower or a bath 1 044 97,7 1 129 98,2 1 218 98,9
Collective central heating 8 0,8 51 4,4 93 7,5
Individual central heating 870 81,5 870 75,7 914 74,2
Individual electric heating 144 13,5 177 15,4 177 14,4
  • 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 1 068 100,0 1 149 100,0 1 232 100,0
At least one parking spot 959 89,8 1 043 90,7 1 145 93,0
At least one car 994 93,1 1 080 94,0 1 141 92,6
1 car 393 36,8 476 41,4 526 42,7
2 cars and over 601 56,3 603 52,5 614 49,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Anzin-Saint-Aubin (62037)

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 94 78 82,9 90,9 73,7
6 to 10 years old 155 154 99,4 100,0 98,4
11 to 14 years old 147 147 100,0 100,0 100,0
15 to 17 years old 96 95 99,0 98,2 100,0
18 to 24 years old 118 73 61,8 65,2 57,6
25 to 29 years old 123 12 9,9 9,4 10,3
30 years old and over 1 973 14 0,7 0,6 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 81,5 82,5 82,9
6 to 10 years old 100,0 98,9 99,4
11 to 14 years old 99,3 100,0 100,0
15 to 17 years old 98,6 100,0 99,0
18 to 24 years old 66,0 60,8 61,8
25 to 29 years old 6,3 4,0 9,9
30 years old and over 0,7 0,4 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 2 116 992 1 124
Proportion of graduates in percentage
No diploma or primary education certificate 10,2 7,7 12,4
BEPC brevet des collèges or DNB 6,4 5,3 7,3
CAP, BEP or equivalent 18,6 20,6 16,9
Baccalauréat, brevet professionnel or equivalent 17,8 16,9 18,6
2 years at university 14,9 13,4 16,2
3 to 4 years at university 16,0 14,4 17,5
5 years and over at university 16,1 21,7 11,1
  • 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 16,4 10,2
BEPC brevet des collèges or DNB 7,8 6,4
CAP, BEP or equivalent 18,2 18,6
Baccalauréat, brevet professionnel or equivalent 19,2 17,8
2 years and over at university 38,6 47,0
  • 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 Anzin-Saint-Aubin (62037)

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 1 954 1 856 1 727
Labor force in % 71,5 71,7 75,6
 including people in work in % 67,9 67,6 70,3
 including unemployed workers in % 3,6 4,1 5,3
Economically inactive people in % 28,5 28,3 24,4
 including pupils, students or interns in % 13,0 9,6 9,1
 including retirees in % 8,6 13,4 10,2
 including other economically inactive people in % 6,8 5,3 5,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 1 727 1 306 75,6 1 214 70,3
 15 to 24 years old 214 61 28,4 51 23,6
 25 to 54 years old 1 019 966 94,8 900 88,3
 55 to 64 years old 494 279 56,5 263 53,4
Male 841 643 76,5 594 70,6
 15 to 24 years old 122 32 26,2 27 22,0
 25 to 54 years old 484 470 97,1 434 89,7
 55 to 64 years old 235 141 59,9 133 56,5
Female 886 663 74,8 620 69,9
 15 to 24 years old 93 29 31,4 24 25,6
 25 to 54 years old 535 496 92,7 465 87,0
 55 to 64 years old 259 138 53,3 131 50,5
  • 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 70,3
Unemployed workers 5,3
Retirees 10,2
Pupils, students or interns 9,1
Other economically inactive people 5,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 1 402 1 316 1 364 1 262 1 354 1 259
including
 Farmer operators 0 0 4 4 5 5
 Handicrafters, traders and business leaders 94 90 63 59 65 65
 Managers and higher intellectual professions 438 417 371 364 324 314
 Middle-level occupations 389 364 464 436 498 463
 Services employee 290 278 288 255 316 297
 Blue-collar workers 184 167 173 146 141 116
  • 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 71 76 92
Unemployment rate in % 5,1 5,7 7,1
Unemployment of the 15-24 aged 25,5 19,9 17,0
Unemployment of the 25-54 aged 3,7 4,6 6,9
Unemployment of the 55-64 aged 4,7 5,2 5,5
  • 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 5,2
BEPC brevet des collèges or DNB 15,1
CAP, BEP or equivalent 11,6
Baccalauréat, brevet professionnel or equivalent 9,5
2 years at university 7,0
3 to 4 years at university 5,1
5 years and over at university 2,4
  • 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 679 748 617
People in work living in the area 1 332 1 263 1 229
Employment concentration indicator 51,0 59,3 50,2
Activity rate of 15 years old and over in % 61,4 59,5 57,2
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 679 100,0 748 100,0 617 100,0
Employee 587 86,4 653 87,2 549 88,8
 including women 286 42,2 358 47,9 304 49,3
 including part-time workers 127 18,8 173 23,2 110 17,8
Non-employee 92 13,6 96 12,8 69 11,2
 including women 31 4,6 28 3,7 20 3,2
 including part-time workers 5 0,8 11 1,5 12 2,0
  • 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 627 100,0
Farmer operators 0 0,0
Handicrafters, traders, business leaders 20 3,2
Managers and higher intellectual professions 117 18,6
Middle-level occupations 191 30,4
Services employee 206 32,9
Blue-collar workers 94 14,9
  • 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 0,5 0,5 0,0
Handicrafters, traders, business leaders 7,0 6,9 3,2
Managers and higher intellectual professions 13,4 10,2 18,6
Middle-level occupations 24,9 29,7 30,4
Services employee 30,8 26,9 32,9
Blue-collar workers 23,4 25,9 14,9
  • 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 783 100,0 686 100,0 627 100,0 55,0 91,2
Agriculture 4 0,5 9 1,3 10 1,6 100,0 100,0
Industry 65 8,3 52 7,6 32 5,1 49,2 84,6
Construction 80 10,2 46 6,7 46 7,3 11,0 89,8
Wholesale and retail trade/transports/accommodations and food service activities 356 45,5 324 47,2 218 34,7 37,8 87,7
Public administration/education/healthcare/social work 278 35,5 255 37,2 322 51,3 72,0 94,1
  • 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 100,0
Industry 58,1 0,0
Construction 12,3 0,0
Wholesale and retail trade, transports, accommodations and food service activities 35,0 57,4
Public administration, education, healthcare, social work 75,0 24,5
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

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

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

Characteristics of employment in the sense of the census in 2019

Municipality of Anzin-Saint-Aubin (62037)

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 1 229 100,0 14,3 51,0
Employees 1 090 88,7 14,4 53,5
Non-employees 139 11,3 13,9 31,7
  • 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 602 100 627 100
Employees 507 84,2 583 92,9
 Tenured personnel and open-ended employment contracts 464 77,0 523 83,5
 Fixed-term employment contracts 25 4,1 46 7,3
 Temporary employment 6 1,0 2 0,3
 Assisted jobs 2 0,3 5 0,8
 Apprentice ship contract - Traineeship 11 1,8 7 1,1
Non-employees 95 15,8 44 7,1
 Independents 43 7,2 25 3,9
 Employers 52 8,6 20 3,2
 Caregivers 0 0,0 0 0,0
  • 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 504 2,4 578 23,8
15 to 24 years old 26 15,3 24 32,5
25 to 54 years old 373 1,5 428 22,1
55 to 64 years old 105 2,1 125 27,8
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 4,0 4,8 2,8
Female 29,8 25,0 24,5
  • 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 1 332 100 1 263 100 1 229 100
working :
in their residential zone 125 9,4 151 11,9 121 9,9
in another zone 1 207 90,6 1 112 88,1 1 108 90,1
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 1,8
Walking 2,2
Bicycle 0,9
Motorized two-wheeled vehicles 0,5
Car or truck 86,8
Public transports 7,8
  • 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 Anzin-Saint-Aubin (62037)

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 13 17 19 16 17 24 23 22
Domiciled births 19 29 27 18 16 24 24 18
  • 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 Anzin-Saint-Aubin (62037)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 1 242
Number of people in tax households 2 955
Median disposable income (per consumption unit in euros) 28 020
Share of actually taxed tax households (in %) 71
  • 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
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
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 72,7
including wages 63,3
including unemployment pensions 1,7
including self-employed income 7,7
Retirement pension or annuity 33,3
Capital income (real estate, financial, others) 11,9
Social benefits 2,7
including child benefit 1,2
including income support 1,0
including housing benefit 0,5
Tax –20,6
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 28 020
Inter-decile ratio 2,9
1st decile (in euros) 17 120
9th decile (in euros) 49 650
  • 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 Anzin-Saint-Aubin (62037)

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 19,0 15,8 21,4
Managerial staff* 27,6 23,9 29,2
Middle-level occupations 17,3 15,1 19,4
Services employee 12,4 11,7 14,3
Blue-collar workers 12,5 9,7 12,8
  • * 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 –26,3
Managerial staff* –18,0
Middle-level occupations –22,0
Services employee –18,4
Blue-collar workers –24,2
  • * 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 10,6 10,5 10,7
26 to 50 years old 18,8 15,5 21,3
50 years old or over 20,9 17,3 23,1
  • 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

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –1,9
26 to 50 years old –27,3
50 years old and over –25,0
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

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

Business and establishment set-ups in 2021

Municipality of Anzin-Saint-Aubin (62037)

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 23 100,0 18 78,3
Industry 2 8,7 2 100,0
Construction 1 4,3 1 100,0
Wholesale and retail trade/transports/accommodations and food service activities 3 13,0 2 66,7
Information/communication 2 8,7 1 50,0
Finance and insurance activities 0 0,0 0
Real estate activities 1 4,3 0 0,0
Professional/scientific/technical activites/administrative and support service activities 6 26,1 6 100,0
Public administration/education/healthcare/social work 5 21,7 3 60,0
Other service activities 3 13,0 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 17 20 19 23 18 18 14 22 32 23
Sole proprietorship 6 16 15 17 14 10 10 15 21 18
  • 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 163 100,0
Industry 5 3,1
Construction 10 6,1
Wholesale and retail trade/transports/accommodations and food service activities 28 17,2
Information/communication 4 2,5
Finance and insurance activities 7 4,3
Real estate activities 7 4,3
Professional/scientific/technical activites/administrative and support service activities 38 23,3
Public administration/education/human health/social work 48 29,4
Other service activities 16 9,8
  • 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 23 100,0
Industry 3 13,0
Construction 1 4,3
Wholesale and retail trade/transports/accommodations and food service activities 3 13,0
Information/communication 2 8,7
Finance and insurance activities 0 0,0
Real estate activities 1 4,3
Professional/scientific/technical activites/administrative and support service activities 6 26,1
Public administration/education/healthcare/social work 4 17,4
Other service activities by the number of business creations including free lancers 3 13,0
  • 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 22 24 20 27 17 24 17 24 31 23
  • 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 181 100,0
Industry 6 3,3
Construction 12 6,6
Wholesale and retail trade/transports/accommodations and food service activities 36 19,9
Information/communication 5 2,8
Finance and insurance activities 8 4,4
Real estate activities 8 4,4
Professional/scientific/technical activites/administrative and support service activities 41 22,7
Public administration/education/human health/social work 49 27,1
Other service activities 16 8,8
  • 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 Anzin-Saint-Aubin (62037)

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

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 2 63
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 1 58
5 stars 0 0
Non-ranked 1 5
  • 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.