données locales

Paru le : 21/02/2023

Full set of local data inter-communality metropolis of CC du Romorantinais et du Monestois (200018406)

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

Growth and structure of the population in 2019

inter-communality metropolis of CC du Romorantinais et du Monestois (200018406)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 32 449 100,0 32 856 100,0 33 566 100,0
0 to 14 years old 5 614 17,3 5 440 16,6 5 387 16,0
15 to 29 years old 4 429 13,6 4 493 13,7 4 784 14,3
30 to 44 years old 5 966 18,4 5 608 17,1 5 354 16,0
45 to 59 years old 7 069 21,8 6 645 20,2 6 772 20,2
60 to 74 years old 5 530 17,0 6 462 19,7 7 168 21,4
75 and over 3 842 11,8 4 208 12,8 4 101 12,2
  • 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 17,3 16,6 16,0
15 to 29 years old 13,6 13,7 14,3
30 to 44 years old 18,4 17,1 16,0
45 to 59 years old 21,8 20,2 20,2
60 to 74 years old 17,0 19,7 21,4
75 and over 11,8 12,8 12,2
  • 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 24 599 27 862 30 095 31 327 32 494 32 449 32 856 33 566
Average density (inhab / km²) 50,8 57,6 62,2 64,7 67,1 67,0 67,9 69,3
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 1,8 1,1 0,5 0,4 –0,0 0,2 0,4
due to the natural balance in % 0,4 0,2 0,0 0,1 0,0 –0,1 –0,2
due to the apparent balance of inflows and outflows in % 1,4 0,9 0,5 0,3 –0,0 0,3 0,6
Natality rate (‰) 16,6 13,2 11,7 11,7 11,3 11,0 10,1
Mortality rate (‰) 12,5 11,4 11,6 10,7 11,2 11,7 12,1
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 16 142 100,0 17 424 100,0
0 to 14 years old 2 615 16,2 2 772 15,9
15 to 29 years old 2 475 15,3 2 309 13,3
30 to 44 years old 2 579 16,0 2 775 15,9
45 to 59 years old 3 379 20,9 3 393 19,5
60 to 74 years old 3 460 21,4 3 708 21,3
75 to 89 years old 1 471 9,1 2 079 11,9
90 years and over 163 1,0 389 2,2
0 to 19 years old 3 582 22,2 3 707 21,3
20 to 64 years old 8 645 53,6 8 817 50,6
65 and over 3 915 24,3 4 900 28,1
  • 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: 32 532 100,0 33 251 100,0
In the same house 28 893 88,8 29 561 88,9
In another house in the same town 1 740 5,3 1 933 5,8
In another town 1 899 5,8 1 756 5,3
  • 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 59,7 40,3
15 to 24 years old 44,4 55,6
25 to 54 years old 52,8 47,2
55 years old and over 51,3 48,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 26 476 100,0 27 300 100,0 28 309 100,0
Farmer operators 180 0,7 154 0,6 146 0,5
Craftsmen, traders, business leaders 888 3,4 1 139 4,2 1 208 4,3
Managers and higher intellectual professions 1 078 4,1 1 052 3,9 1 075 3,8
Middle-level occupations 2 676 10,1 2 961 10,8 3 034 10,7
Services employee 4 115 15,5 4 220 15,5 4 455 15,7
Blue-collar workers 4 398 16,6 4 254 15,6 4 585 16,2
Retirees 9 444 35,7 10 057 36,8 9 953 35,2
Other people with no professional activity 3 697 14,0 3 463 12,7 3 855 13,6
  • 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 13 640 14 669 100,0 100,0 100,0
Farmer operators 100 45 0,0 0,9 0,3
Craftsmen, traders, business leaders 847 360 1,7 7,4 2,1
Managers and higher intellectual professions 628 447 0,5 6,9 1,8
Middle-level occupations 1 451 1 583 4,1 20,2 4,0
Services employee 1 090 3 365 15,9 26,2 6,5
Blue-collar workers 3 376 1 209 19,1 27,7 5,4
Retirees 4 533 5 420 0,0 0,2 74,3
Other people without professional activity 1 615 2 240 58,6 10,4 5,6
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

inter-communality metropolis of CC du Romorantinais et du Monestois (200018406)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 14 286 100,0 14 682 100,0 15 236 100,0 31 302 31 607 32 067
One-person households (male and female) 4 691 32,8 4 942 33,7 5 473 35,9 4 691 4 942 5 473
 Single Male 1 877 13,1 1 882 12,8 2 290 15,0 1 877 1 882 2 290
 Single Female 2 814 19,7 3 060 20,8 3 183 20,9 2 814 3 060 3 183
Other households without families 194 1,4 255 1,7 191 1,3 538 613 459
Family households: 9 401 65,8 9 485 64,6 9 572 62,8 26 073 26 052 26 134
 Couple with no children 4 826 33,8 5 016 34,2 5 040 33,1 9 953 10 210 10 278
 Couple with children 3 413 23,9 3 460 23,6 3 317 21,8 13 103 13 255 12 811
 Single parent 1 162 8,1 1 008 6,9 1 214 8,0 3 017 2 588 3 046
  • 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 2,92 2,83 2,66 2,53 2,35 2,19 2,15 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 1,1 1,2 3,5
20 to 24 years old 12,9 14,8 12,1
25 to 39 years old 10,9 10,5 12,1
40 to 54 years old 14,0 13,4 15,2
55 to 64 years old 17,5 18,1 22,8
65 to 79 years old 25,8 27,0 25,6
80 and over 49,9 48,1 50,0
  • 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 4,5 4,7 2,2
20 to 24 years old 38,4 32,7 33,7
25 to 39 years old 73,4 72,6 71,6
40 to 54 years old 75,3 75,0 72,3
55 to 64 years old 76,7 76,3 71,2
65 to 79 years old 68,9 69,0 70,4
80 and over 39,0 41,8 40,5
  • 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 46,3
Civil partnership 4,2
In cohabitation 12,0
Widowed 9,1
Divorced 6,8
Single 21,5
  • 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 15 236 100,0 32 067 100,0
Farmer operators 106 0,7 298 0,9
Craftsmen, traders, business leaders 741 4,9 2 117 6,6
Managers and higher intellectual professions 736 4,8 1 860 5,8
Middle-level occupations 1 870 12,3 4 621 14,4
Services employee 2 348 15,4 5 522 17,2
Blue-collar workers 2 995 19,7 7 674 23,9
Retirees 5 785 38,0 8 846 27,6
Other people with no professional activity 654 4,3 1 128 3,5
  • 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 0,7
Handicrafters, traders, business leaders 4,9
Managers and higher intellectual professions 4,8
Middle-level occupations 12,3
Services employee 15,4
Blue-collar workers 19,7
Retirees 38,0
Unemployed persons 4,3
  • 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 9 479 100,0 9 552 100,0 9 619 100,0
Couple with children 3 449 36,4 3 477 36,4 3 321 34,5
Single parent 1 188 12,5 1 045 10,9 1 235 12,8
Male single parent 239 2,5 239 2,5 260 2,7
Female single parent 949 10,0 806 8,4 975 10,1
Couple with no children 4 842 51,1 5 030 52,7 5 062 52,6
  • 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 9 479 100,0 9 552 100,0 9 619 100,0
No children 5 257 55,5 5 412 56,7 5 589 58,1
1 child 1 954 20,6 1 879 19,7 1 755 18,2
2 children 1 556 16,4 1 573 16,5 1 578 16,4
3 children 546 5,8 545 5,7 509 5,3
4 children and over 166 1,7 143 1,5 187 1,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

inter-communality metropolis of CC du Romorantinais et du Monestois (200018406)

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 9 968 11 595 13 369 14 568 15 909 17 243 17 883 18 559
Main residences 8 215 9 517 10 970 12 056 13 388 14 293 14 676 15 224
Second homes 973 1 372 1 491 1 534 1 363 1 228 1 184 1 079
Vacant dwellings 780 706 908 978 1 158 1 722 2 023 2 257
  • (*) 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 17 243 100,0 17 883 100,0 18 559 100,0
Main residences 14 293 82,9 14 676 82,1 15 224 82,0
Second homes 1 228 7,1 1 184 6,6 1 079 5,8
Vacant dwellings 1 722 10,0 2 023 11,3 2 257 12,2
Houses 14 385 83,4 15 215 85,1 15 973 86,1
Flats 2 782 16,1 2 569 14,4 2 453 13,2
  • 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 14 293 100,0 14 676 100,0 15 224 100,0
1 room 315 2,2 288 2,0 255 1,7
2 rooms 1 236 8,6 1 174 8,0 1 242 8,2
3 rooms 3 184 22,3 3 245 22,1 3 283 21,6
4 rooms 4 379 30,6 4 402 30,0 4 502 29,6
5 rooms and over 5 179 36,2 5 567 37,9 5 940 39,0
  • 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 4,2 4,2 4,3
Houses 4,4 4,4 4,5
Flats 2,9 2,8 2,8
  • 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 1,6
Non-over-occupied 98,4
  • 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 15 042 100,0
before 1919 2 279 15,2
from 1919 to 1945 1 414 9,4
from 1946 to 1970 2 700 17,9
from 1971 to 1990 4 684 31,1
from 1991 to 2005 2 174 14,5
from 2006 to 2015 1 791 11,9
  • 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 2 122 153
from 1919 to 1945 1 184 196
from 1946 to 1970 2 028 664
from 1971 to 1990 4 134 538
from 1991 to 2005 1 914 247
from 2006 to 2015 1 583 195
  • 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 15 224 100,0 32 057 4,3 2,0
Less than 2 years 1 507 9,9 3 106 3,6 1,8
From 2 to 4 years 2 732 17,9 6 088 3,9 1,7
From 5 to 9 years 2 598 17,1 6 204 4,2 1,8
10 years and over 8 386 55,1 16 659 4,5 2,3
  • 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 17,9
From 5 to 9 years 17,1
From 10 to 19 years 21,0
From 20 to 29 years 12,2
30 years and over 21,9
  • 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 14 293 100,0 14 676 100,0 15 224 100,0 32 057 16,8
Homeowner 9 619 67,3 10 163 69,2 10 330 67,9 22 412 21,2
Tenant 4 411 30,9 4 249 28,9 4 617 30,3 9 081 7,2
(including social sector housing) 1 815 12,7 1 634 11,1 1 732 11,4 3 598 8,7
Housed for free 263 1,8 265 1,8 276 1,8 565 11,8
  • 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 14 293 100,0 14 676 100,0 15 224 100,0
Bathroom including a shower or a bath 14 004 98,0 14 385 98,0 14 987 98,4
Collective central heating 1 123 7,9 798 5,4 867 5,7
Individual central heating 7 186 50,3 7 530 51,3 7 697 50,6
Individual electric heating 3 670 25,7 3 702 25,2 4 032 26,5
  • 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 14 293 100,0 14 676 100,0 15 224 100,0
At least one parking spot 9 984 69,9 10 717 73,0 11 624 76,4
At least one car 12 183 85,2 12 618 86,0 13 538 88,9
1 car 6 821 47,7 6 952 47,4 7 334 48,2
2 cars and over 5 362 37,5 5 666 38,6 6 204 40,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

inter-communality metropolis of CC du Romorantinais et du Monestois (200018406)

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 1 363 1 008 73,9 75,9 72,1
6 to 10 years old 1 810 1 774 98,0 97,7 98,3
11 to 14 years old 1 616 1 562 96,7 97,3 96,0
15 to 17 years old 1 314 1 259 95,8 95,4 96,2
18 to 24 years old 1 877 532 28,4 29,1 27,5
25 to 29 years old 1 592 45 2,8 2,9 2,7
30 years old and over 23 395 93 0,4 0,3 0,5
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 78,0 73,3 73,9
6 to 10 years old 98,9 97,6 98,0
11 to 14 years old 98,6 98,2 96,7
15 to 17 years old 93,4 91,9 95,8
18 to 24 years old 31,1 26,0 28,4
25 to 29 years old 1,9 2,0 2,8
30 years old and over 0,5 0,5 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 26 250 12 558 13 693
Proportion of graduates in percentage
No diploma or primary education certificate 31,0 27,5 34,2
BEPC brevet des collèges or DNB 5,8 4,9 6,6
CAP, BEP or equivalent 31,0 37,4 25,3
Baccalauréat, brevet professionnel or equivalent 14,7 14,4 15,0
2 years at university 8,6 7,7 9,4
3 to 4 years at university 5,1 4,1 6,1
5 years and over at university 3,7 3,9 3,5
  • 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 41,3 31,0
BEPC brevet des collèges or DNB 6,3 5,8
CAP, BEP or equivalent 27,7 31,0
Baccalauréat, brevet professionnel or equivalent 12,4 14,7
2 years and over at university 12,3 17,4
  • 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 du Romorantinais et du Monestois (200018406)

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 19 612 19 425 19 363
Labor force in % 68,8 71,2 72,7
 including people in work in % 60,9 60,9 62,9
 including unemployed workers in % 7,8 10,3 9,8
Economically inactive people in % 31,2 28,8 27,3
 including pupils, students or interns in % 6,4 6,2 7,4
 including retirees in % 13,5 12,5 9,1
 including other economically inactive people in % 11,3 10,1 10,8
  • 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 19 363 14 082 72,7 12 183 62,9
 15 to 24 years old 3 192 1 460 45,7 1 058 33,1
 25 to 54 years old 11 376 10 145 89,2 8 894 78,2
 55 to 64 years old 4 795 2 477 51,7 2 231 46,5
Male 9 611 7 277 75,7 6 229 64,8
 15 to 24 years old 1 657 839 50,7 597 36,0
 25 to 54 years old 5 654 5 241 92,7 4 551 80,5
 55 to 64 years old 2 301 1 197 52,0 1 081 47,0
Female 9 752 6 804 69,8 5 954 61,1
 15 to 24 years old 1 535 620 40,4 461 30,0
 25 to 54 years old 5 723 4 904 85,7 4 343 75,9
 55 to 64 years old 2 494 1 280 51,3 1 150 46,1
  • 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 62,9
Unemployed workers 9,8
Retirees 9,1
Pupils, students or interns 7,4
Other economically inactive people 10,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 13 319 11 788 13 786 11 833 14 418 12 517
including
 Farmer operators 168 168 154 151 137 137
 Handicrafters, traders and business leaders 864 828 1 105 1 061 1 175 1 127
 Managers and higher intellectual professions 1 056 1 021 1 023 965 1 062 1 022
 Middle-level occupations 2 661 2 524 2 929 2 725 3 012 2 816
 Services employee 4 105 3 578 4 189 3 556 4 390 3 784
 Blue-collar workers 4 376 3 668 4 239 3 374 4 529 3 631
  • 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 1 534 1 995 1 899
Unemployment rate in % 11,4 14,4 13,5
Unemployment of the 15-24 aged 22,2 32,1 27,5
Unemployment of the 25-54 aged 10,5 12,4 12,3
Unemployment of the 55-64 aged 7,1 11,3 9,9
  • 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 24,5
BEPC brevet des collèges or DNB 15,2
CAP, BEP or equivalent 13,6
Baccalauréat, brevet professionnel or equivalent 11,5
2 years at university 7,7
3 to 4 years at university 7,0
5 years and over at university 5,8
  • 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 11 619 11 633 12 030
People in work living in the area 12 053 11 991 12 391
Employment concentration indicator 96,4 97,0 97,1
Activity rate of 15 years old and over in % 50,6 51,0 50,7
  • 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 11 619 100,0 11 633 100,0 12 030 100,0
Employee 10 232 88,1 10 119 87,0 10 482 87,1
 including women 5 118 44,0 5 170 44,4 5 365 44,6
 including part-time workers 1 640 14,1 1 687 14,5 1 465 12,2
Non-employee 1 387 11,9 1 513 13,0 1 548 12,9
 including women 468 4,0 539 4,6 556 4,6
 including part-time workers 128 1,1 175 1,5 211 1,8
  • 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 12 271 100,0
Farmer operators 135 1,1
Handicrafters, traders, business leaders 1 176 9,6
Managers and higher intellectual professions 1 122 9,1
Middle-level occupations 2 753 22,4
Services employee 3 770 30,7
Blue-collar workers 3 315 27,0
  • 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 1,8 1,3 1,1
Handicrafters, traders, business leaders 7,7 8,5 9,6
Managers and higher intellectual professions 8,2 8,9 9,1
Middle-level occupations 21,9 23,2 22,4
Services employee 31,3 30,9 30,7
Blue-collar workers 29,2 27,1 27,0
  • 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 11 432 100,0 11 422 100,0 12 271 100,0 49,4 87,4
Agriculture 350 3,1 262 2,3 263 2,1 33,4 60,2
Industry 2 096 18,3 1 958 17,1 2 068 16,9 27,7 96,4
Construction 978 8,6 1 047 9,2 923 7,5 15,0 69,0
Wholesale and retail trade/transports/accommodations and food service activities 3 814 33,4 4 018 35,2 4 827 39,3 53,9 83,3
Public administration/education/healthcare/social work 4 194 36,7 4 137 36,2 4 189 34,1 63,5 93,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 35,0 31,0
Industry 28,3 13,1
Construction 18,3 7,5
Wholesale and retail trade, transports, accommodations and food service activities 57,1 37,8
Public administration, education, healthcare, social work 64,6 48,1
  • 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 du Romorantinais et du Monestois (200018406)

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 12 387 100,0 14,3 48,8
Employees 10 873 87,8 14,7 50,7
Non-employees 1 514 12,2 11,8 35,0
  • 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 6 343 100 6 044 100
Employees 5 359 84,5 5 514 91,2
 Tenured personnel and open-ended employment contracts 4 454 70,2 4 607 76,2
 Fixed-term employment contracts 503 7,9 606 10,0
 Temporary employment 209 3,3 192 3,2
 Assisted jobs 36 0,6 28 0,5
 Apprentice ship contract - Traineeship 157 2,5 81 1,3
Non-employees 984 15,5 530 8,8
 Independents 540 8,5 348 5,8
 Employers 443 7,0 169 2,8
 Caregivers 2 0,0 12 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 5 289 7,0 5 438 21,5
15 to 24 years old 564 21,3 446 22,8
25 to 54 years old 3 853 4,4 3 984 19,3
55 to 64 years old 872 8,8 1 009 29,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 5,9 7,1 7,3
Female 27,0 27,0 21,9
  • 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 12 041 100 11 990 100 12 387 100
working :
in their residential zone 5 445 45,2 5 193 43,3 5 303 42,8
in another zone 6 596 54,8 6 797 56,7 7 084 57,2
  • 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 3,9
Walking 5,6
Bicycle 2,0
Motorized two-wheeled vehicles 1,2
Car or truck 85,2
Public transports 2,1
  • 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 du Romorantinais et du Monestois (200018406)

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 357 366 402 448 433 387 446 417
Domiciled births 345 333 342 337 265 280 294 285
  • 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 du Romorantinais et du Monestois (200018406)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 15 008
Number of people in tax households 32 038
Median disposable income (per consumption unit in euros) 21 140
Share of actually taxed tax households (in %) 45,2
  • 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 15,0
Less than 30 years old 23,4
30 to 39 years old 21,1
40 to 49 years old 19,5
50 to 59 years old 14,4
60 to 74 years old 9,1
75 and over 9,3
  • 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 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 15,0
Homeowner 8,0
Tenant 31,9
  • 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 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 60,5
including wages 54,4
including unemployment pensions 2,8
including self-employed income 3,3
Retirement pension or annuity 39,2
Capital income (real estate, financial, others) 6,8
Social benefits 6,7
including child benefit 2,1
including income support 3,3
including housing benefit 1,3
Tax –13,2
  • 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) 21 140
Inter-decile ratio 2,9
1st decile (in euros) 11 810
9th decile (in euros) 33 770
  • 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 du Romorantinais et du Monestois (200018406)

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 13,5 12,1 14,4
Managerial staff* 24,8 21,9 25,9
Middle-level occupations 15,3 14,0 16,1
Services employee 10,9 10,9 11,1
Blue-collar workers 11,7 10,8 12,0
  • * 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 –15,9
Managerial staff* –15,8
Middle-level occupations –13,5
Services employee –2,5
Blue-collar workers –10,0
  • * 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 10,3 10,0 10,5
26 to 50 years old 13,2 12,1 14,1
50 years old or over 15,2 13,1 16,6
  • 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 –4,6
26 to 50 years old –14,1
50 years old and over –20,9
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

  • 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 du Romorantinais et du Monestois (200018406)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1 - 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 to 19 employees 20 to 49 employees 50 or more employees
Altogether 979 100,0 78 730 89 52 30
Agriculture, forestry and fishing 58 5,9 10 46 2 0 0
Industrial economy 83 8,5 5 49 15 7 7
Building industry 168 17,2 12 137 13 5 1
Trade, transport, various services 531 54,2 45 411 44 22 9
including trade and car repair 206 21,0 9 167 19 8 3
Administration publique, enseignement, santé, action sociale 139 14,2 6 87 15 18 13
  • 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 T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 9 343 100,0 2 226 1 179 1 629 1 457 2 852
Agriculture, forestry and fishing 138 1,5 114 24 0 0 0
Industrial economy 1 773 19,0 175 201 227 237 933
Building industry 824 8,8 435 156 150 83 0
Trade, transport, various services 3 562 38,1 1 205 588 669 517 583
including trade and car repair 1 428 15,3 530 241 226 136 295
Administration publique, enseignement, santé, action sociale 3 046 32,6 297 210 583 620 1 336
  • 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* 14,2
Trade, transport, various services* 54,2
Building industry* 17,2
Industrial economy* 8,5
Agriculture, forestry and fishing* 5,9
  • 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 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 G2 - Distribution of active employer establishments by size at the end of 2020

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 3,1
20 to 49 employees 5,3
10 to 19 employees 9,1
1 to 9 employee(s) 74,6
0 employee 8,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - 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 979 100,0 9 343 100,0
Productive sphere* 259 26,5 2 822 30,2
of which public domain* 0 0,0 0 0,0
Presential sphere 720 73,5 6 521 69,8
of which public domain* 75 7,7 2 432 26,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 1 808 100,0
Employers of childminders 595 32,9
Employers of other employees 1 213 67,1
  • 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 du Romorantinais et du Monestois (200018406)

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 301 100,0 209 69,4
Industry 9 3,0 8 88,9
Construction 47 15,6 22 46,8
Wholesale and retail trade/transports/accommodations and food service activities 97 32,2 57 58,8
Information/communication 10 3,3 9 90,0
Finance and insurance activities 2 0,7 1 50,0
Real estate activities 18 6,0 14 77,8
Professional/scientific/technical activites/administrative and support service activities 57 18,9 44 77,2
Public administration/education/healthcare/social work 24 8,0 23 95,8
Other service activities 37 12,3 31 83,8
  • 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 230 174 205 210 185 175 227 223 232 301
Sole proprietorship 166 118 146 159 113 102 168 161 160 209
  • 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 1 934 100,0
Industry 138 7,1
Construction 365 18,9
Wholesale and retail trade/transports/accommodations and food service activities 665 34,4
Information/communication 39 2,0
Finance and insurance activities 54 2,8
Real estate activities 64 3,3
Professional/scientific/technical activites/administrative and support service activities 259 13,4
Public administration/education/human health/social work 186 9,6
Other service activities 164 8,5
  • 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 337 100,0
Industry 13 3,9
Construction 47 13,9
Wholesale and retail trade/transports/accommodations and food service activities 117 34,7
Information/communication 11 3,3
Finance and insurance activities 4 1,2
Real estate activities 18 5,3
Professional/scientific/technical activites/administrative and support service activities 60 17,8
Public administration/education/healthcare/social work 26 7,7
Other service activities by the number of business creations including free lancers 41 12,2
  • 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 281 199 253 234 217 201 256 273 266 337
  • 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 2 281 100,0
Industry 200 8,8
Construction 387 17,0
Wholesale and retail trade/transports/accommodations and food service activities 802 35,2
Information/communication 42 1,8
Finance and insurance activities 89 3,9
Real estate activities 76 3,3
Professional/scientific/technical activites/administrative and support service activities 299 13,1
Public administration/education/human health/social work 209 9,2
Other service activities 177 7,8
  • 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 du Romorantinais et du Monestois (200018406)

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 8 262
1 star 0 0
2 stars 3 89
3 stars 1 66
4 stars 1 16
5 stars 0 0
Non-ranked 3 91
  • 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 4 240
1 star 0 0
2 stars 2 125
3 stars 1 85
4 stars 0 0
5 stars 0 0
Non-ranked 1 30
  • 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 1 166
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels 1 166
  • (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.