données locales

Paru le : 21/02/2023

Full set of local data inter-communality metropolis of CC Loire et Semène (244301131)

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

Growth and structure of the population in 2019

inter-communality metropolis of CC Loire et Semène (244301131)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 19 110 100,0 20 243 100,0 20 495 100,0
0 to 14 years old 3 998 20,9 4 270 21,1 3 996 19,5
15 to 29 years old 3 067 16,0 3 067 15,2 3 105 15,1
30 to 44 years old 4 092 21,4 4 169 20,6 3 853 18,8
45 to 59 years old 4 037 21,1 4 163 20,6 4 225 20,6
60 to 74 years old 2 413 12,6 2 933 14,5 3 525 17,2
75 and over 1 503 7,9 1 639 8,1 1 791 8,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 20,9 21,1 19,5
15 to 29 years old 16,0 15,2 15,1
30 to 44 years old 21,4 20,6 18,8
45 to 59 years old 21,1 20,6 20,6
60 to 74 years old 12,6 14,5 17,2
75 and over 7,9 8,1 8,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

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

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 12 301 12 470 13 687 15 863 17 221 19 110 20 243 20 495
Average density (inhab / km²) 109,0 110,5 121,2 140,5 152,5 169,3 179,3 181,5
  • (*) 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 % 0,2 1,3 1,9 0,9 1,2 1,2 0,2
due to the natural balance in % 0,0 –0,0 0,2 0,2 0,4 0,4 0,2
due to the apparent balance of inflows and outflows in % 0,2 1,3 1,6 0,7 0,8 0,7 0,0
Natality rate (‰) 13,7 12,7 13,3 11,7 12,8 12,6 10,2
Mortality rate (‰) 13,4 12,8 11,2 9,4 8,9 8,3 8,2
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 10 159 100,0 10 336 100,0
0 to 14 years old 2 051 20,2 1 945 18,8
15 to 29 years old 1 630 16,0 1 475 14,3
30 to 44 years old 1 916 18,9 1 937 18,7
45 to 59 years old 2 125 20,9 2 100 20,3
60 to 74 years old 1 743 17,2 1 783 17,2
75 to 89 years old 629 6,2 911 8,8
90 years and over 65 0,6 186 1,8
0 to 19 years old 2 765 27,2 2 586 25,0
20 to 64 years old 5 620 55,3 5 558 53,8
65 and over 1 773 17,5 2 193 21,2
  • 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: 19 982 100,0 20 294 100,0
In the same house 18 159 90,9 18 449 90,9
In another house in the same town 665 3,3 740 3,6
In another town 1 158 5,8 1 106 5,4
  • 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 48,2 51,8
15 to 24 years old 34,8 65,2
25 to 54 years old 37,4 62,6
55 years old and over 40,8 59,2
  • 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 15 051 100,0 16 031 100,0 16 558 100,0
Farmer operators 122 0,8 121 0,8 121 0,7
Craftsmen, traders, business leaders 597 4,0 662 4,1 690 4,2
Managers and higher intellectual professions 777 5,2 926 5,8 984 5,9
Middle-level occupations 2 303 15,3 2 585 16,1 2 766 16,7
Services employee 2 423 16,1 2 852 17,8 2 611 15,8
Blue-collar workers 2 754 18,3 2 615 16,3 2 355 14,2
Retirees 4 043 26,9 4 281 26,7 4 995 30,2
Other people with no professional activity 2 032 13,5 1 988 12,4 2 035 12,3
  • 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 8 131 8 427 100,0 100,0 100,0
Farmer operators 95 25 0,7 1,0 0,4
Craftsmen, traders, business leaders 485 205 0,9 6,8 2,4
Managers and higher intellectual professions 572 412 0,9 10,3 2,8
Middle-level occupations 1 308 1 458 7,8 29,8 5,2
Services employee 486 2 126 10,8 25,0 7,4
Blue-collar workers 1 909 446 18,9 21,7 4,5
Retirees 2 414 2 582 0,0 0,2 72,8
Other people without professional activity 862 1 173 60,1 5,2 4,5
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

inter-communality metropolis of CC Loire et Semène (244301131)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 7 531 100,0 8 167 100,0 8 484 100,0 18 747 19 949 20 191
One-person households (male and female) 1 936 25,7 2 270 27,8 2 449 28,9 1 936 2 270 2 449
 Single Male 832 11,0 1 007 12,3 1 067 12,6 832 1 007 1 067
 Single Female 1 105 14,7 1 262 15,5 1 382 16,3 1 105 1 262 1 382
Other households without families 156 2,1 121 1,5 65 0,8 375 266 141
Family households: 5 439 72,2 5 776 70,7 5 969 70,4 16 435 17 413 17 601
 Couple with no children 2 184 29,0 2 242 27,5 2 570 30,3 4 429 4 527 5 176
 Couple with children 2 741 36,4 2 850 34,9 2 742 32,3 10 615 11 165 10 727
 Single parent 514 6,8 684 8,4 657 7,7 1 392 1 721 1 699
  • 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 2,97 2,83 2,80 2,78 2,66 2,49 2,44 2,38
  • (*) 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 0,6 0,7 1,3
20 to 24 years old 9,1 11,8 8,1
25 to 39 years old 7,5 9,4 9,6
40 to 54 years old 8,9 10,0 10,5
55 to 64 years old 14,6 15,5 17,8
65 to 79 years old 26,2 24,5 23,8
80 and over 51,8 50,8 48,5
  • 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 1,8 0,9 0,9
20 to 24 years old 25,3 23,1 20,9
25 to 39 years old 79,3 77,6 77,5
40 to 54 years old 81,7 79,8 79,0
55 to 64 years old 80,2 79,6 77,4
65 to 79 years old 67,8 71,0 73,1
80 and over 30,7 35,8 38,2
  • 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 48,1
Civil partnership 6,1
In cohabitation 11,3
Widowed 6,9
Divorced 5,3
Single 22,2
  • 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 8 484 100,0 20 191 100,0
Farmer operators 76 0,9 210 1,0
Craftsmen, traders, business leaders 447 5,3 1 325 6,6
Managers and higher intellectual professions 583 6,9 1 616 8,0
Middle-level occupations 1 592 18,8 4 631 22,9
Services employee 1 401 16,5 3 725 18,4
Blue-collar workers 1 358 16,0 3 880 19,2
Retirees 2 762 32,6 4 373 21,7
Other people with no professional activity 266 3,1 431 2,1
  • 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 0,9
Handicrafters, traders, business leaders 5,3
Managers and higher intellectual professions 6,9
Middle-level occupations 18,8
Services employee 16,5
Blue-collar workers 16,0
Retirees 32,6
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 5 447 100,0 5 785 100,0 5 984 100,0
Couple with children 2 745 50,4 2 850 49,3 2 742 45,8
Single parent 514 9,4 689 11,9 662 11,1
Male single parent 104 1,9 189 3,3 165 2,8
Female single parent 410 7,5 500 8,6 497 8,3
Couple with no children 2 188 40,2 2 246 38,8 2 580 43,1
  • 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 5 447 100,0 5 785 100,0 5 984 100,0
No children 2 478 45,5 2 561 44,3 2 856 47,7
1 child 1 069 19,6 1 163 20,1 1 069 17,9
2 children 1 311 24,1 1 471 25,4 1 519 25,4
3 children 522 9,6 510 8,8 481 8,0
4 children and over 67 1,2 81 1,4 59 1,0
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

inter-communality metropolis of CC Loire et Semène (244301131)

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 6 500 6 996 7 474 8 075 7 980 8 983 9 580 10 024
Main residences 4 068 4 302 4 768 5 588 6 327 7 528 8 149 8 489
Second homes 2 075 2 238 2 204 1 899 1 250 701 630 584
Vacant dwellings 357 456 502 588 403 753 802 951
  • (*) 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 8 983 100,0 9 580 100,0 10 024 100,0
Main residences 7 528 83,8 8 149 85,1 8 489 84,7
Second homes 701 7,8 630 6,6 584 5,8
Vacant dwellings 753 8,4 802 8,4 951 9,5
Houses 6 332 70,5 6 809 71,1 7 094 70,8
Flats 2 635 29,3 2 753 28,7 2 835 28,3
  • 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 7 528 100,0 8 149 100,0 8 489 100,0
1 room 73 1,0 63 0,8 69 0,8
2 rooms 570 7,6 577 7,1 543 6,4
3 rooms 1 380 18,3 1 497 18,4 1 489 17,5
4 rooms 2 279 30,3 2 471 30,3 2 549 30,0
5 rooms and over 3 227 42,9 3 541 43,5 3 838 45,2
  • 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 4,4 4,4
Houses 4,8 4,8 4,9
Flats 3,2 3,2 3,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 1,5
Non-over-occupied 98,5
  • 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 8 276 100,0
before 1919 1 085 13,1
from 1919 to 1945 696 8,4
from 1946 to 1970 1 518 18,3
from 1971 to 1990 2 528 30,5
from 1991 to 2005 1 483 17,9
from 2006 to 2015 966 11,7
  • 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 838 244
from 1919 to 1945 452 241
from 1946 to 1970 879 631
from 1971 to 1990 1 925 601
from 1991 to 2005 1 246 237
from 2006 to 2015 735 231
  • 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 8 489 100,0 20 201 4,4 1,9
Less than 2 years 843 9,9 1 901 3,9 1,7
From 2 to 4 years 1 408 16,6 3 331 3,9 1,7
From 5 to 9 years 1 421 16,7 3 872 4,3 1,6
10 years and over 4 816 56,7 11 098 4,7 2,1
  • 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 16,6
From 5 to 9 years 16,7
From 10 to 19 years 22,5
From 20 to 29 years 12,7
30 years and over 21,6
  • 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 7 528 100,0 8 149 100,0 8 489 100,0 20 201 16,8
Homeowner 5 235 69,5 5 740 70,4 6 114 72,0 15 612 20,1
Tenant 2 161 28,7 2 261 27,8 2 250 26,5 4 321 7,6
(including social sector housing) 830 11,0 841 10,3 781 9,2 1 389 10,1
Housed for free 133 1,8 148 1,8 125 1,5 268 17,4
  • 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 7 528 100,0 8 149 100,0 8 489 100,0
Bathroom including a shower or a bath 7 307 97,1 7 960 97,7 8 263 97,3
Collective central heating 849 11,3 848 10,4 754 8,9
Individual central heating 4 376 58,1 4 557 55,9 5 094 60,0
Individual electric heating 1 257 16,7 1 499 18,4 1 587 18,7
  • 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 7 528 100,0 8 149 100,0 8 489 100,0
At least one parking spot 5 319 70,7 5 718 70,2 6 243 73,5
At least one car 6 682 88,8 7 355 90,3 7 765 91,5
1 car 2 928 38,9 3 226 39,6 3 319 39,1
2 cars and over 3 754 49,9 4 129 50,7 4 446 52,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

inter-communality metropolis of CC Loire et Semène (244301131)

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 959 807 84,2 83,7 84,7
6 to 10 years old 1 426 1 405 98,5 98,7 98,4
11 to 14 years old 1 220 1 204 98,7 99,1 98,3
15 to 17 years old 921 899 97,6 96,9 98,4
18 to 24 years old 1 306 589 45,1 39,9 51,2
25 to 29 years old 879 49 5,6 4,6 6,6
30 years old and over 13 394 82 0,6 0,5 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 86,7 82,1 84,2
6 to 10 years old 99,2 99,0 98,5
11 to 14 years old 99,7 99,4 98,7
15 to 17 years old 99,5 98,0 97,6
18 to 24 years old 44,7 45,8 45,1
25 to 29 years old 3,3 2,9 5,6
30 years old and over 0,7 0,6 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 14 880 7 303 7 578
Proportion of graduates in percentage
No diploma or primary education certificate 18,0 15,8 20,2
BEPC brevet des collèges or DNB 5,2 4,3 6,0
CAP, BEP or equivalent 29,8 35,9 23,9
Baccalauréat, brevet professionnel or equivalent 20,4 20,5 20,3
2 years at university 13,1 12,0 14,2
3 to 4 years at university 8,5 6,5 10,5
5 years and over at university 5,0 5,1 5,0
  • 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 26,1 18,0
BEPC brevet des collèges or DNB 6,5 5,2
CAP, BEP or equivalent 29,0 29,8
Baccalauréat, brevet professionnel or equivalent 18,4 20,4
2 years and over at university 20,0 26,7
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

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

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

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

inter-communality metropolis of CC Loire et Semène (244301131)

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 12 204 12 705 12 533
Labor force in % 74,8 76,0 76,2
 including people in work in % 68,6 68,4 69,7
 including unemployed workers in % 6,2 7,6 6,5
Economically inactive people in % 25,2 24,0 23,8
 including pupils, students or interns in % 8,7 8,7 10,2
 including retirees in % 9,5 9,5 8,3
 including other economically inactive people in % 6,9 5,8 5,4
  • 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 12 533 9 545 76,2 8 731 69,7
 15 to 24 years old 2 226 904 40,6 731 32,8
 25 to 54 years old 7 638 7 238 94,8 6 763 88,5
 55 to 64 years old 2 668 1 403 52,6 1 237 46,4
Male 6 334 4 912 77,5 4 516 71,3
 15 to 24 years old 1 192 536 45,0 435 36,5
 25 to 54 years old 3 838 3 710 96,7 3 487 90,9
 55 to 64 years old 1 304 666 51,1 595 45,6
Female 6 199 4 633 74,7 4 214 68,0
 15 to 24 years old 1 034 368 35,6 296 28,6
 25 to 54 years old 3 800 3 528 92,8 3 276 86,2
 55 to 64 years old 1 364 737 54,0 643 47,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 69,7
Unemployed workers 6,5
Retirees 8,3
Pupils, students or interns 10,2
Other economically inactive people 5,4
  • 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 9 000 8 268 9 744 8 831 9 497 8 625
including
 Farmer operators 122 122 121 121 115 115
 Handicrafters, traders and business leaders 597 577 634 588 660 625
 Managers and higher intellectual professions 769 761 922 875 964 929
 Middle-level occupations 2 299 2 196 2 576 2 437 2 756 2 616
 Services employee 2 419 2 213 2 834 2 544 2 591 2 341
 Blue-collar workers 2 746 2 398 2 615 2 266 2 350 1 999
  • 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 753 962 815
Unemployment rate in % 8,3 10,0 8,5
Unemployment of the 15-24 aged 22,9 22,1 19,2
Unemployment of the 25-54 aged 6,5 8,0 6,6
Unemployment of the 55-64 aged 7,3 13,2 11,8
  • 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 16,8
BEPC brevet des collèges or DNB 12,0
CAP, BEP or equivalent 11,2
Baccalauréat, brevet professionnel or equivalent 9,0
2 years at university 4,9
3 to 4 years at university 2,6
5 years and over at university 4,3
  • 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 5 440 5 140 4 749
People in work living in the area 8 397 8 741 8 793
Employment concentration indicator 64,8 58,8 54,0
Activity rate of 15 years old and over in % 60,5 60,8 58,3
  • 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 5 440 100,0 5 140 100,0 4 749 100,0
Employee 4 618 84,9 4 290 83,5 3 939 82,9
 including women 2 359 43,4 2 231 43,4 2 082 43,8
 including part-time workers 969 17,8 957 18,6 928 19,5
Non-employee 822 15,1 850 16,5 810 17,1
 including women 259 4,8 274 5,3 276 5,8
 including part-time workers 81 1,5 92 1,8 98 2,1
  • 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 4 830 100,0
Farmer operators 111 2,3
Handicrafters, traders, business leaders 497 10,3
Managers and higher intellectual professions 406 8,4
Middle-level occupations 1 116 23,1
Services employee 1 292 26,8
Blue-collar workers 1 409 29,2
  • 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 2,2 2,2 2,3
Handicrafters, traders, business leaders 8,4 9,0 10,3
Managers and higher intellectual professions 7,5 8,8 8,4
Middle-level occupations 18,7 22,3 23,1
Services employee 22,9 24,3 26,8
Blue-collar workers 40,3 33,4 29,2
  • 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 5 580 100,0 5 208 100,0 4 830 100,0 50,8 83,8
Agriculture 144 2,6 160 3,1 125 2,6 16,1 19,9
Industry 2 386 42,8 1 904 36,6 1 643 34,0 38,6 92,6
Construction 373 6,7 323 6,2 333 6,9 14,9 65,4
Wholesale and retail trade/transports/accommodations and food service activities 1 430 25,6 1 544 29,7 1 340 27,7 50,3 74,1
Public administration/education/healthcare/social work 1 247 22,3 1 277 24,5 1 389 28,8 77,6 93,0
  • 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 20,3 15,0
Industry 38,7 37,3
Construction 22,8 0,0
Wholesale and retail trade, transports, accommodations and food service activities 52,5 44,2
Public administration, education, healthcare, social work 79,2 56,2
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

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

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

Characteristics of employment in the sense of the census in 2019

inter-communality metropolis of CC Loire et Semène (244301131)

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 8 792 100,0 19,0 48,2
Employees 7 660 87,1 20,0 50,1
Non-employees 1 132 12,9 12,5 35,6
  • 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 4 553 100 4 239 100
Employees 3 824 84,0 3 836 90,5
 Tenured personnel and open-ended employment contracts 3 367 74,0 3 209 75,7
 Fixed-term employment contracts 206 4,5 448 10,6
 Temporary employment 121 2,7 57 1,4
 Assisted jobs 19 0,4 50 1,2
 Apprentice ship contract - Traineeship 111 2,4 71 1,7
Non-employees 729 16,0 403 9,5
 Independents 373 8,2 273 6,4
 Employers 353 7,7 121 2,9
 Caregivers 3 0,1 9 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 3 804 5,8 3 820 33,7
15 to 24 years old 408 15,5 287 34,2
25 to 54 years old 2 920 3,9 2 964 32,1
55 to 64 years old 476 9,1 569 41,6
  • 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 5,6 6,1 6,1
Female 37,5 37,4 33,8
  • 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 8 395 100 8 739 100 8 792 100
working :
in their residential zone 2 110 25,1 1 976 22,6 1 711 19,5
in another zone 6 285 74,9 6 763 77,4 7 081 80,5
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 3,6
Walking 3,7
Bicycle 0,3
Motorized two-wheeled vehicles 0,3
Car or truck 90,3
Public transports 1,8
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

inter-communality metropolis of CC Loire et Semène (244301131)

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 160 170 159 178 168 181 180 184
Domiciled births 220 213 180 173 220 175 179 196
  • 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

inter-communality metropolis of CC Loire et Semène (244301131)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 8 560
Number of people in tax households 20 460
Median disposable income (per consumption unit in euros) 22 850
Share of actually taxed tax households (in %) 48,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 7,7
Less than 30 years old
30 to 39 years old 9,9
40 to 49 years old 7,0
50 to 59 years old 7,8
60 to 74 years old 5,6
75 and over
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

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

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 7,7
Homeowner 5,0
Tenant 20,0
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

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

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 72,3
including wages 64,5
including unemployment pensions 3,2
including self-employed income 4,6
Retirement pension or annuity 28,3
Capital income (real estate, financial, others) 7,8
Social benefits 4,9
including child benefit 2,3
including income support 1,8
including housing benefit 0,8
Tax –13,3
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 22 850
Inter-decile ratio 2,4
1st decile (in euros) 14 300
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

inter-communality metropolis of CC Loire et Semène (244301131)

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

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 14,4 12,9 15,5
Managerial staff* 23,0 21,0 23,8
Middle-level occupations 15,5 14,1 16,6
Services employee 11,7 11,3 13,0
Blue-collar workers 12,4 10,6 12,7
  • * 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 –16,8
Managerial staff* –11,7
Middle-level occupations –15,3
Services employee –12,8
Blue-collar workers –16,5
  • * 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 10,7 10,2 11,0
26 to 50 years old 14,4 13,0 15,3
50 years old or over 16,1 13,6 17,8
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –6,9
26 to 50 years old –15,3
50 years old and over –23,5
  • 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

inter-communality metropolis of CC Loire et Semène (244301131)

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 477 100,0 40 348 89
Agriculture, forestry and fishing* 17 3,6 2 13 2
Industrial economy* 79 16,6 6 46 27
Building industry* 69 14,5 7 56 6
Trade, transport, various services* 254 53,2 22 210 22
including trade and car repair 88 18,4 6 72 10
Administration publique, enseignement, santé, action sociale 58 12,2 3 23 32
  • 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 3 716 100,0 978 2 738
Agriculture, forestry and fishing 61 1,6 22 39
Industrial economy 1 288 34,7 160 1 128
Building industry 268 7,2 168 100
Trade, transport, various services 1 056 28,4 536 520
including trade and car repair 407 11,0 196 211
Administration publique, enseignement, santé, action sociale 1 043 28,1 92 951
  • 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* 12,2
Trade, transport, various services* 53,2
Building industry* 14,5
Industrial economy* 16,6
Agriculture, forestry and fishing* 3,6
  • 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 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 18,7
1 to 10 employee(s) 73,0
0 employee 8,4
  • 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 477 100,0 3 716 100,0
Productive sphere* 176 36,9 1 751 47,1
of which public domain* 0 0,0 0 0,0
Presential sphere 301 63,1 1 965 52,9
of which public domain* 25 5,2 703 18,9
  • 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 943 100,0
Employers of childminders 554 58,7
Employers of other employees 389 41,3
  • 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

inter-communality metropolis of CC Loire et Semène (244301131)

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 174 100,0 124 71,3
Industry 22 12,6 17 77,3
Construction 26 14,9 17 65,4
Wholesale and retail trade/transports/accommodations and food service activities 39 22,4 26 66,7
Information/communication 5 2,9 5 100,0
Finance and insurance activities 5 2,9 1 20,0
Real estate activities 11 6,3 6 54,5
Professional/scientific/technical activites/administrative and support service activities 35 20,1 22 62,9
Public administration/education/healthcare/social work 15 8,6 14 93,3
Other service activities 16 9,2 16 100,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 125 128 127 88 89 96 108 150 146 174
Sole proprietorship 96 93 94 62 51 68 77 115 97 124
  • 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 1 174 100,0
Industry 144 12,3
Construction 190 16,2
Wholesale and retail trade/transports/accommodations and food service activities 286 24,4
Information/communication 27 2,3
Finance and insurance activities 56 4,8
Real estate activities 58 4,9
Professional/scientific/technical activites/administrative and support service activities 159 13,5
Public administration/education/human health/social work 166 14,1
Other service activities 88 7,5
  • 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 186 100,0
Industry 27 14,5
Construction 25 13,4
Wholesale and retail trade/transports/accommodations and food service activities 44 23,7
Information/communication 5 2,7
Finance and insurance activities 5 2,7
Real estate activities 11 5,9
Professional/scientific/technical activites/administrative and support service activities 36 19,4
Public administration/education/healthcare/social work 16 8,6
Other service activities by the number of business creations including free lancers 17 9,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 140 142 138 95 103 109 118 161 161 186
  • 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 1 274 100,0
Industry 158 12,4
Construction 192 15,1
Wholesale and retail trade/transports/accommodations and food service activities 309 24,3
Information/communication 28 2,2
Finance and insurance activities 66 5,2
Real estate activities 66 5,2
Professional/scientific/technical activites/administrative and support service activities 179 14,1
Public administration/education/human health/social work 181 14,2
Other service activities 95 7,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

inter-communality metropolis of CC Loire et Semène (244301131)

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

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 1 15
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 15
  • 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 2 221
1 star 0 0
2 stars 1 78
3 stars 1 143
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.