données locales

Paru le : 21/02/2023

Full set of local data Municipality of Breuil-le-Sec (60106)

Detailed figures
Paru le : Paru le 21/02/2023
- February 2023

Growth and structure of the population in 2019

Municipality of Breuil-le-Sec (60106)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 2 360 100,0 2 479 100,0 2 667 100,0
0 to 14 years old 440 18,6 494 19,9 530 19,9
15 to 29 years old 356 15,1 465 18,8 411 15,4
30 to 44 years old 532 22,5 497 20,0 578 21,7
45 to 59 years old 633 26,8 546 22,0 562 21,1
60 to 74 years old 268 11,4 321 13,0 431 16,2
75 and over 131 5,5 156 6,3 155 5,8
  • 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 18,6 19,9 19,9
15 to 29 years old 15,1 18,8 15,4
30 to 44 years old 22,5 20,0 21,7
45 to 59 years old 26,8 22,0 21,1
60 to 74 years old 11,4 13,0 16,2
75 and over 5,5 6,3 5,8
  • 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 2 200 2 321 2 421 2 416 2 055 2 360 2 479 2 667
Average density (inhab / km²) 247,5 261,1 272,3 271,8 231,2 265,5 278,9 300,0
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 0,8 0,6 –0,0 –1,8 1,5 1,0 1,2
due to the natural balance in % 0,1 –0,1 0,4 0,3 0,5 0,7 0,3
due to the apparent balance of inflows and outflows in % 0,7 0,7 –0,5 –2,1 1,0 0,3 0,9
Natality rate (‰) 5,7 4,5 9,0 7,7 11,2 12,9 9,0
Mortality rate (‰) 4,8 5,3 4,7 4,4 5,8 6,0 6,1
  • 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 1 333 100,0 1 334 100,0
0 to 14 years old 266 20,0 264 19,8
15 to 29 years old 224 16,8 187 14,0
30 to 44 years old 297 22,3 281 21,1
45 to 59 years old 278 20,8 284 21,3
60 to 74 years old 216 16,2 215 16,1
75 to 89 years old 49 3,7 98 7,3
90 years and over 3 0,2 5 0,4
0 to 19 years old 360 27,0 334 25,0
20 to 64 years old 793 59,5 770 57,7
65 and over 179 13,5 230 17,3
  • 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: 2 437 100,0 2 630 100,0
In the same house 2 257 92,6 2 384 90,7
In another house in the same town 20 0,8 51 2,0
In another town 160 6,6 194 7,4
  • 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 21,2 78,8
15 to 24 years old 24,8 75,2
25 to 54 years old 22,7 77,3
55 years old and over 9,3 90,7
  • 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 1 855 100,0 2 010 100,0 2 153 100,0
Farmer operators 0 0,0 0 0,0 5 0,2
Craftsmen, traders, business leaders 37 2,0 56 2,8 40 1,9
Managers and higher intellectual professions 131 7,0 125 6,2 182 8,4
Middle-level occupations 304 16,4 367 18,2 428 19,9
Services employee 325 17,5 322 16,0 338 15,7
Blue-collar workers 220 11,9 238 11,8 232 10,8
Retirees 421 22,7 493 24,5 539 25,0
Other people with no professional activity 417 22,5 409 20,4 389 18,1
  • 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 999 1 154 100,0 100,0 100,0
Farmer operators 5 0 0,0 0,0 0,6
Craftsmen, traders, business leaders 30 10 0,0 3,7 0,0
Managers and higher intellectual professions 111 71 1,9 13,0 4,5
Middle-level occupations 191 237 3,7 30,5 10,8
Services employee 81 257 11,4 23,2 7,0
Blue-collar workers 172 61 15,4 16,3 1,9
Retirees 256 283 0,0 0,5 66,4
Other people without professional activity 154 235 67,5 12,9 8,8
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Breuil-le-Sec (60106)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 808 100,0 880 100,0 983 100,0 2 051 2 244 2 419
One-person households (male and female) 189 23,4 207 23,5 240 24,4 189 207 240
 Single Male 80 9,9 97 11,1 83 8,5 80 97 83
 Single Female 109 13,5 109 12,4 156 15,9 109 109 156
Other households without families 12 1,5 8 0,9 10 1,0 44 16 25
Family households: 607 75,1 665 75,6 733 74,6 1 818 2 021 2 154
 Couple with no children 240 29,7 267 30,3 282 28,7 496 550 569
 Couple with children 290 35,8 314 35,6 334 34,0 1 107 1 253 1 296
 Single parent 78 9,6 85 9,6 117 11,9 215 218 289
  • 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 3,55 3,38 3,17 3,18 2,81 2,56 2,55 2,46
  • (*) 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 0,0
20 to 24 years old 1,0 3,9 5,6
25 to 39 years old 7,1 5,7 4,3
40 to 54 years old 7,0 9,1 11,5
55 to 64 years old 11,6 8,9 13,3
65 to 79 years old 31,2 27,4 21,5
80 and over 51,4 58,4 55,9
  • 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 1,5 0,8 1,8
20 to 24 years old 21,1 20,7 17,8
25 to 39 years old 70,8 62,8 74,0
40 to 54 years old 72,1 73,2 66,3
55 to 64 years old 68,5 78,9 79,0
65 to 79 years old 55,4 61,1 68,1
80 and over 38,3 36,3 32,8
  • 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 45,9
Civil partnership 5,7
In cohabitation 11,6
Widowed 6,8
Divorced 4,7
Single 25,2
  • 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 983 100,0 2 419 100,0
Farmer operators 0 0,0 0 0,0
Craftsmen, traders, business leaders 10 1,0 44 1,8
Managers and higher intellectual professions 111 11,3 322 13,3
Middle-level occupations 273 27,8 777 32,1
Services employee 157 16,0 417 17,2
Blue-collar workers 132 13,4 376 15,6
Retirees 289 29,4 473 19,5
Other people with no professional activity 10 1,1 10 0,4
  • 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 1,0
Managers and higher intellectual professions 11,3
Middle-level occupations 27,8
Services employee 16,0
Blue-collar workers 13,4
Retirees 29,4
Unemployed persons 1,1
  • 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 611 100,0 669 100,0 738 100,0
Couple with children 290 47,4 314 46,9 334 45,2
Single parent 82 13,3 85 12,7 122 16,5
Male single parent 21 3,4 16 2,4 25 3,4
Female single parent 61 10,0 69 10,3 97 13,1
Couple with no children 240 39,2 271 40,5 282 38,2
  • 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 611 100,0 669 100,0 738 100,0
No children 268 43,9 311 46,5 338 45,8
1 child 147 24,1 141 21,1 167 22,6
2 children 133 21,7 137 20,4 169 23,0
3 children 43 7,1 56 8,4 44 6,0
4 children and over 20 3,2 24 3,6 19 2,6
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Breuil-le-Sec (60106)

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 336 348 535 570 706 845 905 1 052
Main residences 281 314 491 544 661 810 875 980
Second homes 38 22 22 15 13 9 4 8
Vacant dwellings 17 12 22 11 32 26 26 64
  • (*) 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 845 100,0 905 100,0 1 052 100,0
Main residences 810 95,9 875 96,7 980 93,1
Second homes 9 1,1 4 0,4 8 0,8
Vacant dwellings 26 3,0 26 2,9 64 6,1
Houses 726 86,0 772 85,3 913 86,8
Flats 72 8,6 118 13,1 108 10,3
  • 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 810 100,0 875 100,0 980 100,0
1 room 39 4,8 29 3,4 26 2,7
2 rooms 55 6,8 64 7,3 74 7,5
3 rooms 92 11,4 107 12,2 134 13,7
4 rooms 223 27,5 231 26,4 253 25,8
5 rooms and over 401 49,5 443 50,7 493 50,3
  • 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 4,5 4,5 4,5
Houses 4,8 4,9 4,8
Flats 2,7 2,5 2,6
  • 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 2,1
Non-over-occupied 97,9
  • 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 955 100,0
before 1919 88 9,2
from 1919 to 1945 43 4,5
from 1946 to 1970 133 13,9
from 1971 to 1990 296 31,0
from 1991 to 2005 241 25,3
from 2006 to 2015 154 16,2
  • 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 86 2
from 1919 to 1945 41 2
from 1946 to 1970 130 3
from 1971 to 1990 284 10
from 1991 to 2005 160 53
from 2006 to 2015 141 13
  • 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 980 100,0 2 414 4,5 1,8
Less than 2 years 97 9,9 213 3,5 1,6
From 2 to 4 years 198 20,2 541 4,1 1,5
From 5 to 9 years 140 14,3 425 4,3 1,4
10 years and over 544 55,6 1 234 4,9 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 9,9
From 2 to 4 years 20,2
From 5 to 9 years 14,3
From 10 to 19 years 24,8
From 20 to 29 years 9,1
30 years and over 21,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

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

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 810 100,0 875 100,0 980 100,0 2 414 16,2
Homeowner 629 77,7 676 77,2 735 75,1 1 924 19,5
Tenant 167 20,7 187 21,4 235 24,0 470 5,8
(including social sector housing) 88 10,9 85 9,7 138 14,1 282 5,6
Housed for free 13 1,6 12 1,4 9 0,9 19 20,3
  • 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 810 100,0 875 100,0 980 100,0
Bathroom including a shower or a bath 795 98,2 859 98,2 962 98,2
Collective central heating 10 1,3 16 1,9 14 1,5
Individual central heating 469 57,9 479 54,8 538 54,9
Individual electric heating 245 30,3 271 30,9 325 33,1
  • 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 810 100,0 875 100,0 980 100,0
At least one parking spot 624 77,1 705 80,6 785 80,2
At least one car 734 90,6 802 91,7 902 92,0
1 car 304 37,5 316 36,2 363 37,0
2 cars and over 430 53,1 486 55,5 539 55,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Breuil-le-Sec (60106)

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 146 99 68,0 71,1 64,9
6 to 10 years old 179 175 97,8 100,0 95,1
11 to 14 years old 147 143 97,3 97,3 97,4
15 to 17 years old 97 94 97,0 96,6 97,5
18 to 24 years old 181 86 47,4 47,9 46,8
25 to 29 years old 132 9 6,8 4,4 9,5
30 years old and over 1 726 11 0,6 0,6 0,7
  • 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 78,6 71,7 68,0
6 to 10 years old 96,8 97,7 97,8
11 to 14 years old 98,4 99,2 97,3
15 to 17 years old 95,2 95,1 97,0
18 to 24 years old 43,9 53,9 47,4
25 to 29 years old 2,2 0,0 6,8
30 years old and over 0,6 0,5 0,6
  • 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 1 937 956 980
Proportion of graduates in percentage
No diploma or primary education certificate 22,6 20,2 24,8
BEPC brevet des collèges or DNB 4,1 3,8 4,3
CAP, BEP or equivalent 30,7 35,2 26,2
Baccalauréat, brevet professionnel or equivalent 16,6 15,7 17,5
2 years at university 11,8 11,3 12,4
3 to 4 years at university 8,9 6,6 11,1
5 years and over at university 5,4 7,1 3,7
  • 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 35,1 22,6
BEPC brevet des collèges or DNB 5,8 4,1
CAP, BEP or equivalent 27,2 30,7
Baccalauréat, brevet professionnel or equivalent 12,8 16,6
2 years and over at university 19,0 26,1
  • 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 Breuil-le-Sec (60106)

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 1 630 1 683 1 727
Labor force in % 64,6 65,6 70,0
 including people in work in % 60,3 60,3 63,3
 including unemployed workers in % 4,3 5,3 6,7
Economically inactive people in % 35,4 34,4 30,0
 including pupils, students or interns in % 9,0 7,9 8,3
 including retirees in % 10,8 11,2 8,2
 including other economically inactive people in % 15,6 15,2 13,4
  • 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 1 210 70,0 1 094 63,3
 15 to 24 years old 278 113 40,7 80 28,9
 25 to 54 years old 1 082 923 85,3 854 79,0
 55 to 64 years old 367 174 47,3 159 43,4
Male 888 619 69,7 552 62,2
 15 to 24 years old 156 62 39,9 43 27,7
 25 to 54 years old 546 465 85,2 425 77,8
 55 to 64 years old 186 92 49,3 85 45,4
Female 840 591 70,4 542 64,5
 15 to 24 years old 123 51 41,7 37 30,4
 25 to 54 years old 536 458 85,4 430 80,2
 55 to 64 years old 181 82 45,3 75 41,4
  • 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 63,3
Unemployed workers 6,7
Retirees 8,2
Pupils, students or interns 8,3
Other economically inactive people 13,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 1 012 951 1 104 1 015 1 230 1 125
including
 Farmer operators 0 0 0 0 5 5
 Handicrafters, traders and business leaders 37 37 52 52 40 40
 Managers and higher intellectual professions 131 127 125 125 182 177
 Middle-level occupations 300 296 367 346 428 408
 Services employee 325 288 322 286 338 288
 Blue-collar workers 220 204 234 206 232 207
  • 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 70 89 116
Unemployment rate in % 6,6 8,0 9,5
Unemployment of the 15-24 aged 22,9 18,0 29,1
Unemployment of the 25-54 aged 4,4 6,4 7,4
Unemployment of the 55-64 aged 9,0 11,1 8,2
  • 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 18,9
BEPC brevet des collèges or DNB 20,3
CAP, BEP or equivalent 10,5
Baccalauréat, brevet professionnel or equivalent 9,8
2 years at university 5,1
3 to 4 years at university 5,0
5 years and over at university 3,9
  • 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 1 655 1 616 1 799
People in work living in the area 984 1 020 1 101
Employment concentration indicator 168,1 158,4 163,3
Activity rate of 15 years old and over in % 55,0 55,9 56,9
  • 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 1 655 100,0 1 616 100,0 1 799 100,0
Employee 1 582 95,6 1 527 94,5 1 713 95,2
 including women 613 37,0 569 35,2 688 38,2
 including part-time workers 163 9,8 156 9,6 137 7,6
Non-employee 73 4,4 89 5,5 86 4,8
 including women 28 1,7 24 1,5 27 1,5
 including part-time workers 3 0,2 7 0,4 6 0,3
  • 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 1 780 100,0
Farmer operators 5 0,3
Handicrafters, traders, business leaders 39 2,2
Managers and higher intellectual professions 345 19,4
Middle-level occupations 517 29,0
Services employee 258 14,5
Blue-collar workers 616 34,6
  • 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 0,0 0,3 0,3
Handicrafters, traders, business leaders 2,5 4,4 2,2
Managers and higher intellectual professions 16,7 13,9 19,4
Middle-level occupations 21,2 23,3 29,0
Services employee 20,2 20,1 14,5
Blue-collar workers 39,3 38,0 34,6
  • 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 1 855 100,0 1 482 100,0 1 780 100,0 41,5 95,2
Agriculture 12 0,7 4 0,3 5 0,3 0,0 0,0
Industry 796 42,9 598 40,3 716 40,2 28,3 97,9
Construction 18 1,0 70 4,7 56 3,2 12,5 91,1
Wholesale and retail trade/transports/accommodations and food service activities 878 47,3 679 45,8 779 43,8 48,6 95,2
Public administration/education/healthcare/social work 151 8,1 132 8,9 223 12,5 67,7 89,4
  • 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 28,2 33,4
Construction 13,8 0,0
Wholesale and retail trade, transports, accommodations and food service activities 49,7 26,9
Public administration, education, healthcare, social work 66,4 79,0
  • 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 Breuil-le-Sec (60106)

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 1 101 100,0 11,8 49,4
Employees 1 044 94,8 11,9 50,1
Non-employees 57 5,2 10,3 36,9
  • 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 557 100 544 100
Employees 521 93,5 523 96,1
 Tenured personnel and open-ended employment contracts 471 84,5 472 86,8
 Fixed-term employment contracts 19 3,4 35 6,5
 Temporary employment 10 1,8 5 0,9
 Assisted jobs 1 0,2 2 0,4
 Apprentice ship contract - Traineeship 20 3,6 8 1,5
Non-employees 36 6,5 21 3,9
 Independents 24 4,3 12 2,2
 Employers 12 2,2 9 1,7
 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 517 5,0 521 17,9
15 to 24 years old 42 25,8 34 34,9
25 to 54 years old 401 2,5 416 16,8
55 to 64 years old 74 6,9 71 16,0
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 5,9 5,8 5,6
Female 26,8 24,3 18,2
  • 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 984 100 1 020 100 1 101 100
working :
in their residential zone 168 17,0 148 14,5 187 17,0
in another zone 817 83,0 872 85,5 914 83,0
  • 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 2,1
Walking 3,0
Bicycle 1,0
Motorized two-wheeled vehicles 0,3
Car or truck 87,2
Public transports 6,4
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

Municipality of Breuil-le-Sec (60106)

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 20 17 13 11 19 26 18
Domiciled births 31 14 27 24 23 19 20 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 Breuil-le-Sec (60106)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 980
Number of people in tax households 2 477
Median disposable income (per consumption unit in euros) 24 470
Share of actually taxed tax households (in %) 61
  • 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 74,1
including wages 70,0
including unemployment pensions 2,4
including self-employed income 1,7
Retirement pension or annuity 29,3
Capital income (real estate, financial, others) 7,2
Social benefits 4,3
including child benefit 2,2
including income support 1,5
including housing benefit 0,6
Tax –14,9
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 24 470
Inter-decile ratio 2,3
1st decile (in euros) 15 440
9th decile (in euros) 35 970
  • 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 Breuil-le-Sec (60106)

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 15,3 13,6 16,4
Managerial staff* 26,4 19,1 29,3
Middle-level occupations 16,9 15,6 17,9
Services employee 12,1 12,2 12,0
Blue-collar workers 11,6 10,0 11,9
  • * 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 –16,9
Managerial staff* –34,7
Middle-level occupations –13,2
Services employee 1,6
Blue-collar workers –15,8
  • * 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 11,0 10,8 11,0
26 to 50 years old 14,9 13,2 16,0
50 years old or over 17,8 15,7 19,3
  • 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 –1,7
26 to 50 years old –17,8
50 years old and over –18,5
  • 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 Breuil-le-Sec (60106)

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 65 100,0 3 41 21
Agriculture, forestry and fishing* 0 0,0 0 0 0
Industrial economy* 10 15,4 1 4 5
Building industry* 11 16,9 2 6 3
Trade, transport, various services* 40 61,5 0 29 11
including trade and car repair 15 23,1 0 10 5
Administration publique, enseignement, santé, action sociale 4 6,2 0 2 2
  • 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 2 716 100,0 140 2 576
Agriculture, forestry and fishing 0 0,0 0 0
Industrial economy 759 27,9 23 736
Building industry 72 2,7 17 55
Trade, transport, various services 1 811 66,7 87 1 724
including trade and car repair 704 25,9 36 668
Administration publique, enseignement, santé, action sociale 74 2,7 13 61
  • 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* 6,2
Trade, transport, various services* 61,5
Building industry* 16,9
Industrial economy* 15,4
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 32,3
1 to 10 employee(s) 63,1
0 employee 4,6
  • 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 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 65 100,0 2 716 100,0
Productive sphere* 30 46,2 2 454 90,4
of which public domain* 0 0,0 0 0,0
Presential sphere 35 53,8 262 9,6
of which public domain* 5 7,7 116 4,3
  • 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 T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 98 100,0
Employers of childminders 54 55,1
Employers of other employees 44 44,9
  • 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 Breuil-le-Sec (60106)

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 20 100,0 11 55,0
Industry 3 15,0 2 66,7
Construction 1 5,0 1 100,0
Wholesale and retail trade/transports/accommodations and food service activities 8 40,0 4 50,0
Information/communication 1 5,0 1 100,0
Finance and insurance activities 0 0,0 0
Real estate activities 1 5,0 0 0,0
Professional/scientific/technical activites/administrative and support service activities 4 20,0 2 50,0
Public administration/education/healthcare/social work 1 5,0 1 100,0
Other service activities 1 5,0 0 0,0
  • 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 16 9 13 18 15 7 18 16 11 20
Sole proprietorship 10 5 9 11 7 4 12 10 10 11
  • 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 127 100,0
Industry 11 8,7
Construction 21 16,5
Wholesale and retail trade/transports/accommodations and food service activities 36 28,3
Information/communication 1 0,8
Finance and insurance activities 1 0,8
Real estate activities 5 3,9
Professional/scientific/technical activites/administrative and support service activities 17 13,4
Public administration/education/human health/social work 14 11,0
Other service activities 21 16,5
  • 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 27 100,0
Industry 3 11,1
Construction 1 3,7
Wholesale and retail trade/transports/accommodations and food service activities 12 44,4
Information/communication 1 3,7
Finance and insurance activities 0 0,0
Real estate activities 1 3,7
Professional/scientific/technical activites/administrative and support service activities 7 25,9
Public administration/education/healthcare/social work 1 3,7
Other service activities by the number of business creations including free lancers 1 3,7
  • 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 20 9 14 20 15 12 19 20 16 27
  • 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 149 100,0
Industry 14 9,4
Construction 23 15,4
Wholesale and retail trade/transports/accommodations and food service activities 47 31,5
Information/communication 1 0,7
Finance and insurance activities 1 0,7
Real estate activities 5 3,4
Professional/scientific/technical activites/administrative and support service activities 23 15,4
Public administration/education/human health/social work 14 9,4
Other service activities 21 14,1
  • 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 Breuil-le-Sec (60106)

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 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 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.