données locales

Paru le : 21/02/2023

Full set of local data Municipality of Lassay-les-Châteaux (53127)

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

This municipality has experienced boundaries changes since 2010:

  • 01/07/2014 – La fusion de Lassay-les-Châteaux avec La Baroche-Gondouin (53020), Melleray-la-Vallée (53149) et Niort-la-Fontaine (53166) est transformé en fusion simple.

In the case of a merging, when the geography of the source indicated under the table / graph is after the date of the merging, the data correspond to those of the new municipality.

Growth and structure of the population in 2019

Municipality of Lassay-les-Châteaux (53127)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 2 438 100,0 2 393 100,0 2 234 100,0
0 to 14 years old 394 16,2 384 16,0 324 14,5
15 to 29 years old 292 12,0 272 11,4 239 10,7
30 to 44 years old 451 18,5 395 16,5 313 14,0
45 to 59 years old 439 18,0 463 19,4 493 22,1
60 to 74 years old 352 14,4 394 16,5 417 18,7
75 and over 511 20,9 485 20,3 447 20,0
  • 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 16,2 16,0 14,5
15 to 29 years old 12,0 11,4 10,7
30 to 44 years old 18,5 16,5 14,0
45 to 59 years old 18,0 19,4 22,1
60 to 74 years old 14,4 16,5 18,7
75 and over 20,9 20,3 20,0
  • 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 2 783 2 602 2 595 2 459 2 532 2 438 2 393 2 234
Average density (inhab / km²) 48,3 45,2 45,0 42,7 43,9 42,3 41,5 38,8
  • (*) 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 % –1,0 –0,0 –0,7 0,3 –0,4 –0,4 –1,1
due to the natural balance in % –0,7 –0,8 –0,6 –0,9 –1,1 –1,3 –1,9
due to the apparent balance of inflows and outflows in % –0,3 0,7 –0,1 1,2 0,7 0,9 0,7
Natality rate (‰) 12,9 12,5 12,3 11,0 10,4 7,9 7,4
Mortality rate (‰) 19,6 20,2 18,1 19,5 21,3 20,7 25,9
  • 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 1 050 100,0 1 184 100,0
0 to 14 years old 155 14,7 169 14,3
15 to 29 years old 129 12,3 110 9,3
30 to 44 years old 154 14,6 160 13,5
45 to 59 years old 254 24,2 239 20,2
60 to 74 years old 198 18,9 218 18,5
75 to 89 years old 141 13,5 210 17,7
90 years and over 19 1,8 77 6,5
0 to 19 years old 208 19,8 218 18,4
20 to 64 years old 540 51,4 537 45,4
65 and over 303 28,8 429 36,2
  • 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: 2 372 100,0 2 216 100,0
In the same house 2 142 90,3 2 030 91,6
In another house in the same town 67 2,8 59 2,7
In another town 163 6,9 128 5,8
  • 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 %

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 56,3 43,7
15 to 24 years old 20,0 80,0
25 to 54 years old 44,8 55,2
55 years old and over 22,5 77,5
  • 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 2 041 100,0 2 026 100,0 1 895 100,0
Farmer operators 79 3,9 116 5,7 89 4,7
Craftsmen, traders, business leaders 96 4,7 72 3,6 49 2,6
Managers and higher intellectual professions 36 1,8 60 3,0 84 4,4
Middle-level occupations 160 7,8 169 8,3 248 13,1
Services employee 251 12,3 280 13,8 257 13,6
Blue-collar workers 332 16,3 304 15,0 232 12,3
Retirees 925 45,3 814 40,2 748 39,5
Other people with no professional activity 163 8,0 211 10,4 188 9,9
  • 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 855 1 040 100,0 100,0 100,0
Farmer operators 65 25 0,0 8,9 2,6
Craftsmen, traders, business leaders 44 5 0,0 5,4 1,0
Managers and higher intellectual professions 55 30 0,0 8,9 2,0
Middle-level occupations 109 139 12,9 24,7 4,6
Services employee 44 213 10,3 30,2 2,0
Blue-collar workers 188 44 30,9 17,1 5,1
Retirees 271 477 0,0 0,0 76,1
Other people without professional activity 79 108 45,9 4,8 6,6
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Lassay-les-Châteaux (53127)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 1 011 100,0 1 022 100,0 969 100,0 2 235 2 227 2 060
One-person households (male and female) 335 33,1 361 35,3 335 34,5 335 361 335
 Single Male 135 13,3 203 19,8 152 15,7 135 203 152
 Single Female 200 19,8 158 15,5 182 18,8 200 158 182
Other households without families 32 3,2 20 2,0 15 1,5 99 52 30
Family households: 644 63,7 641 62,7 619 63,9 1 801 1 814 1 695
 Couple with no children 323 31,9 310 30,4 310 32,0 650 620 620
 Couple with children 261 25,8 255 24,9 239 24,7 995 997 897
 Single parent 60 6,0 76 7,5 70 7,2 156 196 178
  • 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 3,09 2,83 2,73 2,53 2,36 2,21 2,17 2,11
  • (*) 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 2,8 2,8 4,0
20 to 24 years old 14,4 26,9 12,3
25 to 39 years old 11,6 15,9 10,7
40 to 54 years old 8,8 11,6 12,8
55 to 64 years old 15,6 13,4 19,4
65 to 79 years old 25,2 27,8 24,6
80 and over 53,3 47,2 49,3
  • 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 0,9 1,9 1,0
20 to 24 years old 29,6 20,0 33,6
25 to 39 years old 73,4 70,5 74,1
40 to 54 years old 81,6 78,2 74,0
55 to 64 years old 77,4 79,3 73,8
65 to 79 years old 62,6 64,1 68,6
80 and over 27,3 33,3 27,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 49,8
Civil partnership 2,8
In cohabitation 8,8
Widowed 10,6
Divorced 5,3
Single 22,8
  • 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 969 100,0 2 060 100,0
Farmer operators 60 6,2 139 6,7
Craftsmen, traders, business leaders 30 3,1 93 4,5
Managers and higher intellectual professions 60 6,1 153 7,4
Middle-level occupations 154 15,9 384 18,7
Services employee 109 11,3 285 13,8
Blue-collar workers 144 14,8 398 19,3
Retirees 383 39,5 558 27,1
Other people with no professional activity 30 3,1 50 2,4
  • 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 6,2
Handicrafters, traders, business leaders 3,1
Managers and higher intellectual professions 6,1
Middle-level occupations 15,9
Services employee 11,3
Blue-collar workers 14,8
Retirees 39,5
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 644 100,0 641 100,0 619 100,0
Couple with children 261 40,5 255 39,7 239 38,7
Single parent 60 9,3 76 11,9 70 11,2
Male single parent 20 3,1 0 0,0 15 2,4
Female single parent 40 6,2 76 11,9 55 8,8
Couple with no children 323 50,1 310 48,4 310 50,1
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

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

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 644 100,0 641 100,0 619 100,0
No children 367 57,0 342 53,4 345 55,7
1 child 100 15,5 112 17,5 119 19,2
2 children 126 19,6 123 19,3 112 18,1
3 children 47 7,3 47 7,4 34 5,4
4 children and over 4 0,6 16 2,4 9 1,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Lassay-les-Châteaux (53127)

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 989 1 042 1 114 1 182 1 279 1 314 1 353 1 379
Main residences 812 833 863 882 979 1 010 1 015 968
Second homes 76 99 111 154 134 168 183 188
Vacant dwellings 101 110 140 146 166 136 155 223
  • (*) 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 1 314 100,0 1 353 100,0 1 379 100,0
Main residences 1 010 76,9 1 015 75,0 968 70,2
Second homes 168 12,8 183 13,5 188 13,6
Vacant dwellings 136 10,3 155 11,5 223 16,2
Houses 1 226 93,3 1 277 94,4 1 324 96,1
Flats 78 5,9 72 5,3 51 3,7
  • 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 1 010 100,0 1 015 100,0 968 100,0
1 room 5 0,5 10 1,0 5 0,5
2 rooms 80 8,0 64 6,3 52 5,3
3 rooms 185 18,3 182 17,9 156 16,1
4 rooms 290 28,7 279 27,5 261 27,0
5 rooms and over 450 44,5 480 47,3 494 51,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 4,4 4,5 4,6
Houses 4,5 4,5 4,7
Flats 3,0 3,1 2,9
  • 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 0,0
Non-over-occupied 100,0
  • 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 963 100,0
before 1919 309 32,1
from 1919 to 1945 82 8,5
from 1946 to 1970 82 8,5
from 1971 to 1990 253 26,3
from 1991 to 2005 142 14,8
from 2006 to 2015 94 9,8
  • 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 301 7
from 1919 to 1945 73 9
from 1946 to 1970 77 5
from 1971 to 1990 246 7
from 1991 to 2005 140 2
from 2006 to 2015 90 4
  • 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 968 100,0 2 046 4,6 2,2
Less than 2 years 79 8,2 141 3,8 2,1
From 2 to 4 years 148 15,3 348 4,5 1,9
From 5 to 9 years 134 13,9 318 4,5 1,9
10 years and over 606 62,6 1 238 4,8 2,4
  • 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 8,2
From 2 to 4 years 15,3
From 5 to 9 years 13,9
From 10 to 19 years 23,7
From 20 to 29 years 16,0
30 years and over 22,8
  • 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 1 010 100,0 1 015 100,0 968 100,0 2 046 19,0
Homeowner 687 68,0 701 69,0 712 73,6 1 564 22,1
Tenant 302 29,9 295 29,1 234 24,2 451 9,5
(including social sector housing) 84 8,3 74 7,3 61 6,3 107 10,0
Housed for free 21 2,1 19 1,9 21 2,2 31 20,5
  • 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 1 010 100,0 1 015 100,0 968 100,0
Bathroom including a shower or a bath 958 94,9 973 95,8 913 94,4
Collective central heating 19 1,9 17 1,7 10 1,0
Individual central heating 451 44,6 441 43,5 425 43,9
Individual electric heating 300 29,7 336 33,1 336 34,8
  • 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 1 010 100,0 1 015 100,0 968 100,0
At least one parking spot 755 74,7 743 73,2 718 74,2
At least one car 858 85,0 883 87,0 863 89,1
1 car 461 45,7 460 45,3 447 46,2
2 cars and over 397 39,3 423 41,7 416 43,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Lassay-les-Châteaux (53127)

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 64 53 81,8 80,6 82,9
6 to 10 years old 129 127 98,5 100,0 97,0
11 to 14 years old 101 101 100,0 100,0 100,0
15 to 17 years old 74 70 94,8 92,8 97,2
18 to 24 years old 102 26 25,2 17,0 36,1
25 to 29 years old 63 5 7,9 6,5 9,1
30 years old and over 1 671 7 0,4 0,3 0,6
  • 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 83,0 82,5 81,8
6 to 10 years old 99,2 99,2 98,5
11 to 14 years old 100,0 100,0 100,0
15 to 17 years old 98,7 97,5 94,8
18 to 24 years old 24,7 26,4 25,2
25 to 29 years old 1,9 0,0 7,9
30 years old and over 0,2 0,2 0,4
  • 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 1 802 844 958
Proportion of graduates in percentage
No diploma or primary education certificate 34,3 29,3 38,8
BEPC brevet des collèges or DNB 6,4 5,8 7,0
CAP, BEP or equivalent 25,7 31,6 20,6
Baccalauréat, brevet professionnel or equivalent 16,6 17,2 16,1
2 years at university 8,0 7,4 8,6
3 to 4 years at university 5,2 5,1 5,3
5 years and over at university 3,7 3,8 3,6
  • 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 48,0 34,3
BEPC brevet des collèges or DNB 5,3 6,4
CAP, BEP or equivalent 21,1 25,7
Baccalauréat, brevet professionnel or equivalent 12,2 16,6
2 years and over at university 13,5 16,9
  • 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 Lassay-les-Châteaux (53127)

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 1 297 1 301 1 179
Labor force in % 76,7 74,7 77,5
 including people in work in % 71,4 69,2 70,8
 including unemployed workers in % 5,2 5,5 6,7
Economically inactive people in % 23,3 25,3 22,5
 including pupils, students or interns in % 6,6 6,6 6,6
 including retirees in % 11,4 12,6 10,0
 including other economically inactive people in % 5,3 6,0 6,0
  • 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 1 179 914 77,5 835 70,8
 15 to 24 years old 176 90 51,0 69 39,3
 25 to 54 years old 706 669 94,8 618 87,5
 55 to 64 years old 297 155 52,1 148 49,8
Male 593 476 80,3 437 73,7
 15 to 24 years old 98 54 55,2 40 41,2
 25 to 54 years old 352 337 95,8 315 89,5
 55 to 64 years old 143 85 59,4 82 57,3
Female 586 438 74,7 397 67,8
 15 to 24 years old 78 36 45,8 29 36,9
 25 to 54 years old 354 332 93,9 303 85,5
 55 to 64 years old 154 70 45,4 66 42,8
  • 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 70,8
Unemployed workers 6,7
Retirees 10,0
Pupils, students or interns 6,6
Other economically inactive people 6,0
  • 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 949 866 997 913 950 880
including
 Farmer operators 75 75 112 112 79 79
 Handicrafters, traders and business leaders 92 92 68 68 49 49
 Managers and higher intellectual professions 36 36 60 60 79 79
 Middle-level occupations 160 156 169 161 243 223
 Services employee 251 231 272 256 257 232
 Blue-collar workers 332 276 300 256 232 217
  • 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 68 72 79
Unemployment rate in % 6,8 7,4 8,7
Unemployment of the 15-24 aged 14,4 22,4 23,0
Unemployment of the 25-54 aged 6,3 6,0 7,7
Unemployment of the 55-64 aged 3,8 5,3 4,5
  • 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 11,5
BEPC brevet des collèges or DNB 7,6
CAP, BEP or equivalent 11,0
Baccalauréat, brevet professionnel or equivalent 9,2
2 years at university 0,8
3 to 4 years at university 9,1
5 years and over at university 7,3
  • 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 1 036 1 131 1 075
People in work living in the area 935 912 850
Employment concentration indicator 110,9 124,1 126,5
Activity rate of 15 years old and over in % 49,2 49,0 48,6
  • 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 1 036 100,0 1 131 100,0 1 075 100,0
Employee 805 77,7 897 79,3 866 80,6
 including women 433 41,8 474 41,9 464 43,2
 including part-time workers 136 13,2 159 14,1 163 15,2
Non-employee 231 22,3 234 20,7 208 19,4
 including women 85 8,2 80 7,1 69 6,4
 including part-time workers 5 0,5 15 1,3 18 1,6
  • 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 1 049 100,0
Farmer operators 89 8,5
Handicrafters, traders, business leaders 58 5,5
Managers and higher intellectual professions 98 9,3
Middle-level occupations 215 20,5
Services employee 332 31,7
Blue-collar workers 257 24,5
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 9,2 8,9 8,5
Handicrafters, traders, business leaders 11,5 5,8 5,5
Managers and higher intellectual professions 4,5 8,2 9,3
Middle-level occupations 14,7 13,6 20,5
Services employee 31,7 28,8 31,7
Blue-collar workers 28,4 34,7 24,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

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

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 994 100,0 1 164 100,0 1 049 100,0 52,6 82,4
Agriculture 92 9,2 148 12,7 113 10,8 26,5 18,3
Industry 213 21,5 263 22,6 175 16,7 30,6 94,4
Construction 105 10,6 110 9,4 65 6,2 30,6 77,0
Wholesale and retail trade/transports/accommodations and food service activities 282 28,4 268 23,0 340 32,4 58,9 81,5
Public administration/education/healthcare/social work 302 30,3 376 32,3 356 33,9 69,6 98,6
  • 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 24,4 27,0
Industry 32,5 0,0
Construction 39,8 0,0
Wholesale and retail trade, transports, accommodations and food service activities 60,7 50,8
Public administration, education, healthcare, social work 70,5 0,0
  • 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 Lassay-les-Châteaux (53127)

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 850 100,0 16,5 47,5
Employees 655 77,1 18,9 52,0
Non-employees 195 22,9 8,7 32,4
  • 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 446 100 403 100
Employees 315 70,5 340 84,4
 Tenured personnel and open-ended employment contracts 277 62,1 276 68,4
 Fixed-term employment contracts 17 3,8 47 11,6
 Temporary employment 11 2,4 7 1,7
 Assisted jobs 1 0,2 4 1,0
 Apprentice ship contract - Traineeship 9 2,0 7 1,7
Non-employees 132 29,5 63 15,6
 Independents 76 17,1 40 10,0
 Employers 55 12,4 22 5,4
 Caregivers 0 0,0 1 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 309 6,7 336 29,1
15 to 24 years old 40 12,3 29 23,9
25 to 54 years old 215 5,0 255 26,7
55 to 64 years old 53 9,4 53 43,4
  • 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 5,2 7,9 6,9
Female 30,8 31,5 29,9
  • 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 935 100 911 100 850 100
working :
in their residential zone 501 53,6 486 53,3 436 51,3
in another zone 434 46,4 425 46,7 414 48,7
  • 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 11,6
Walking 5,7
Bicycle 2,0
Motorized two-wheeled vehicles 0,9
Car or truck 79,1
Public transports 0,6
  • 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 Lassay-les-Châteaux (53127)

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 63 56 64 76 55 72 66 74
Domiciled births 13 14 20 15 20 20 14 14
  • 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 Lassay-les-Châteaux (53127)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 1 014
Number of people in tax households 2 138
Median disposable income (per consumption unit in euros) 21 550
Share of actually taxed tax households (in %) 43
  • 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 11
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 11
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 61,4
including wages 49,7
including unemployment pensions 2,0
including self-employed income 9,7
Retirement pension or annuity 35,5
Capital income (real estate, financial, others) 11,3
Social benefits 4,7
including child benefit 2,0
including income support 1,8
including housing benefit 0,9
Tax –12,9
  • 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) 21 550
Inter-decile ratio 2,7
1st decile (in euros) 12 880
9th decile (in euros) 34 960
  • 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 Lassay-les-Châteaux (53127)

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 13,4 12,4 14,1
Managerial staff* 24,0 22,1 25,4
Middle-level occupations 15,1 14,0 16,3
Services employee 11,6 11,0 14,0
Blue-collar workers 11,9 10,9 12,2
  • * 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 –12,2
Managerial staff* –13,1
Middle-level occupations –13,8
Services employee –21,4
Blue-collar workers –10,5
  • * 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 11,2 10,5 11,7
26 to 50 years old 13,3 12,4 14,0
50 years old or over 14,2 13,0 15,3
  • 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 –9,9
26 to 50 years old –11,9
50 years old and over –14,5
  • 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.

Business and establishment set-ups in 2021

Municipality of Lassay-les-Châteaux (53127)

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 19 100,0 9 47,4
Industry 2 10,5 0 0,0
Construction 1 5,3 1 100,0
Wholesale and retail trade/transports/accommodations and food service activities 5 26,3 2 40,0
Information/communication 1 5,3 1 100,0
Finance and insurance activities 1 5,3 0 0,0
Real estate activities 1 5,3 1 100,0
Professional/scientific/technical activites/administrative and support service activities 1 5,3 0 0,0
Public administration/education/healthcare/social work 3 15,8 2 66,7
Other service activities 4 21,1 2 50,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 12 7 13 9 8 8 11 17 12 19
Sole proprietorship 10 4 9 7 7 7 7 15 8 9
  • 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 147 100,0
Industry 17 11,6
Construction 25 17,0
Wholesale and retail trade/transports/accommodations and food service activities 30 20,4
Information/communication 3 2,0
Finance and insurance activities 8 5,4
Real estate activities 4 2,7
Professional/scientific/technical activites/administrative and support service activities 24 16,3
Public administration/education/human health/social work 18 12,2
Other service activities 18 12,2
  • 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 22 100,0
Industry 2 9,1
Construction 1 4,5
Wholesale and retail trade/transports/accommodations and food service activities 5 22,7
Information/communication 1 4,5
Finance and insurance activities 1 4,5
Real estate activities 1 4,5
Professional/scientific/technical activites/administrative and support service activities 2 9,1
Public administration/education/healthcare/social work 4 18,2
Other service activities by the number of business creations including free lancers 5 22,7
  • 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 13 7 14 9 12 9 17 20 14 22
  • 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 172 100,0
Industry 18 10,5
Construction 25 14,5
Wholesale and retail trade/transports/accommodations and food service activities 43 25,0
Information/communication 4 2,3
Finance and insurance activities 11 6,4
Real estate activities 4 2,3
Professional/scientific/technical activites/administrative and support service activities 27 15,7
Public administration/education/human health/social work 21 12,2
Other service activities 19 11,0
  • 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 Lassay-les-Châteaux (53127)

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.