données locales

Paru le : 05/02/2026

Full set of local data Arrondissement of Nevers (583)

Detailed figures
Paru le :Paru le05/02/2026
- February 2026

The data presented is published in Geography 2024 or 2025, depending on the source.

For statistical confidentiality reasons, some indicators may not be provided.

Growth and structure of the population in 2022

Arrondissement of Nevers (583)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 120 824 100,0 115 613 100,0 112 589 100,0
0 to 14 years old 19 564 16,2 18 098 15,7 16 421 14,6
15 to 29 years old 19 154 15,9 17 010 14,7 17 089 15,2
30 to 44 years old 20 923 17,3 18 806 16,3 17 563 15,6
45 to 59 years old 26 152 21,6 23 983 20,7 22 252 19,8
60 to 74 years old 20 604 17,1 23 075 20,0 24 343 21,6
75 and over 14 427 11,9 14 641 12,7 14 921 13,3
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2011 2016 2022
0 to 14 years old 16,2 15,7 14,6
15 to 29 years old 15,9 14,7 15,2
30 to 44 years old 17,3 16,3 15,6
45 to 59 years old 21,6 20,7 19,8
60 to 74 years old 17,1 20,0 21,6
75 and over 11,9 12,7 13,3
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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)
Population and average density 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Population 126 637 129 374 128 914 128 451 125 228 122 694 120 824 115 613 112 589
Average density (inhab / km²) 62,5 63,9 63,6 63,4 61,8 60,6 59,7 57,1 55,6
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % 0,3 –0,1 –0,0 –0,3 –0,3 –0,3 –0,9 –0,4
due to the natural balance in % 0,4 0,2 0,1 –0,0 –0,1 –0,1 –0,2 –0,5
due to the apparent balance of inflows and outflows in % –0,1 –0,2 –0,1 –0,2 –0,2 –0,2 –0,7 0,0
Natality rate (‰) 15,6 13,2 12,3 10,9 10,7 10,3 9,5 8,4
Mortality rate (‰) 11,5 11,5 11,4 11,3 11,4 11,3 11,7 13,2
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 53 817 100,0 58 772 100,0
0 to 14 years old 8 229 15,3 8 193 13,9
15 to 29 years old 9 089 16,9 7 999 13,6
30 to 44 years old 8 615 16,0 8 948 15,2
45 to 59 years old 10 843 20,1 11 410 19,4
60 to 74 years old 11 391 21,2 12 952 22,0
75 to 89 years old 5 126 9,5 7 544 12,8
90 years and over 524 1,0 1 726 2,9
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T3bis - Population by age and sex in 2022

POP T3bis - Population by age and sex in 2022
Age Male % Female %
Ensemble 53 817 100,0 58 772 100,0
0 to 19 years old 11 814 22,0 11 231 19,1
20 to 64 years old 28 972 53,8 29 616 50,4
65 and over 13 031 24,2 17 925 30,5
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2011 % 2016 % 2022 %
People one year old and over, previously living 119 543 100,0 114 579 100,0 111 684 100,0
In the same house 105 872 88,6 101 815 88,9 100 304 89,8
In another house in the same town 4 555 3,8 4 471 3,9 3 850 3,4
In another town 9 116 7,6 8 293 7,2 7 529 6,7
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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 35,6 64,4
15 to 24 years old 30,1 69,9
25 to 54 years old 35,2 64,8
55 years old and over 33,2 66,8
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T5 - Population aged 15 years and over by current or previous socio-professional group

POP T5 - Population aged 15 years and over by current or previous socio-professional group
Socioprofessional group 2011 % 2016 % 2022 %
Altogether 101 337 100,0 97 068 100,0 95 894 100,0
Farmer operators 1 049 1,0 908 0,9 833 0,9
Craftsmen, traders, business leaders 2 848 2,8 2 668 2,7 2 443 2,5
Managers and higher intellectual professions 4 992 4,9 4 829 5,0 5 300 5,5
Middle-level occupations 12 183 12,0 11 827 12,2 12 383 12,9
Services employee 16 259 16,0 15 203 15,7 14 085 14,7
Blue-collar workers 14 364 14,2 12 719 13,1 11 328 11,8
Retirees 33 881 33,4 34 078 35,1 34 739 36,2
Other people with no professional activity 15 762 15,6 14 837 15,3 14 782 15,4
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 45 176 50 718 100,0 100,0 100,0
Farmer operators 615 218 0,3 1,2 0,7
Craftsmen, traders, business leaders 1 718 726 0,8 4,6 1,4
Managers and higher intellectual professions 3 044 2 256 2,1 9,7 3,1
Middle-level occupations 5 805 6 578 9,8 25,0 4,3
Services employee 3 321 10 763 15,3 25,2 6,3
Blue-collar workers 9 291 2 037 15,6 20,5 4,0
Retirees 15 232 19 507 0,0 0,3 73,7
Other people with no professional activity 6 150 8 632 56,0 13,5 6,5
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Arrondissement of Nevers (583)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 56 140 100,0 55 431 100,0 55 721 100,0 117 580 112 236 109 819
One-person households (male and female) 21 150 37,7 22 365 40,3 23 997 43,1 21 150 22 365 23 997
 Single Male 8 664 15,4 9 295 16,8 10 186 18,3 8 664 9 295 10 186
 Single Female 12 486 22,2 13 070 23,6 13 810 24,8 12 486 13 070 13 810
Other households without families 1 105 2,0 979 1,8 666 1,2 2 604 2 328 1 420
Family households : 33 884 60,4 32 086 57,9 31 058 55,7 93 826 87 543 84 401
 Couple without children 16 715 29,8 16 177 29,2 15 685 28,1 34 110 32 804 31 813
 Couple with children 12 554 22,4 11 252 20,3 10 425 18,7 47 848 42 701 39 875
 Single parent 4 615 8,2 4 657 8,4 4 947 8,9 11 868 12 038 12 714
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Average number of occupants per main residence 3,01 2,81 2,61 2,46 2,27 2,15 2,09 2,03 1,97
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G1 - Growth estimates of 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 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2011 2016 2022
15 to 19 years old 5,3 5,9 7,5
20 to 24 years old 21,3 23,2 26,4
25 to 39 years old 15,3 16,7 20,8
40 to 54 years old 15,9 17,7 18,8
55 to 64 years old 21,2 24,5 26,9
65 to 79 years old 28,8 29,6 30,6
80 and above 53,6 52,6 52,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

FAM G3 - People aged 15 and over reporting living as a couple
2011 2016 2022
15 to 19 years old 3,2 2,3 2,5
20 to 24 years old 29,5 29,5 27,4
25 to 39 years old 67,6 67,2 62,5
40 to 54 years old 70,8 68,5 67,1
55 to 64 years old 72,2 69,6 66,7
65 to 79 years old 65,6 65,7 65,8
80 and above 34,9 35,5 37,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

FAM G4 - Marital status of the population aged 15 years or over in 2022
%
Married 40,4
Civil partnership 5,2
In cohabitation 11,5
Widowed 9,3
Divorced 7,0
Single 26,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM T2 - Households by socioprofessionnal group of the reference person in 2022

FAM T2 - Households by socioprofessionnal group of the reference person in 2022
Socioprofessional group Number of households % Household population %
Altogether 55 721 100,0 109 819 100,0
including farmer operators 625 1,1 1 571 1,4
including craftsmen, traders, business leaders 1 823 3,3 4 694 4,3
including managers and higher intellectual professions 3 698 6,6 8 463 7,7
including intermediate professions 7 825 14,0 18 060 16,4
including employees 8 589 15,4 19 562 17,8
including workers 7 868 14,1 18 850 17,2
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 1,1
Handicrafters, traders, business leaders 3,3
Managers and higher intellectual professions 6,6
Intermediate professions 14,0
Employees 15,4
Workers 14,1
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 34 032 100,0 32 180 100,0 31 251 100,0
Couple with children 12 578 37,0 11 255 35,0 10 436 33,4
Single parent 4 701 13,8 4 719 14,7 5 087 16,3
 Male single parent 830 2,4 871 2,7 1 114 3,6
 Female single parent 3 871 11,4 3 847 12,0 3 973 12,7
Couple without children 16 753 49,2 16 207 50,4 15 728 50,3
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM T3bis - Detailed composition of families composed of couples with child(ren)

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2022 %
Altogether 10 436 100,0
Traditional family 8 918 85,5
Blended family 1 518 14,5
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 34 032 100,0 32 180 100,0 31 251 100,0
Without any 18 621 54,7 18 005 56,0 17 637 56,4
1 child 7 311 21,5 6 431 20,0 6 395 20,5
2 children 5 556 16,3 5 498 17,1 4 914 15,7
3 children 1 884 5,5 1 741 5,4 1 731 5,5
4 children or above 660 1,9 505 1,6 574 1,8
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Arrondissement of Nevers (583)

LOG T1 - Growth estimates of the number of housings by category since 1968

LOG T1 - Growth estimates of the number of housings by category since 1968
Housing category 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Altogether 47 735 52 248 56 966 60 306 62 766 65 349 67 199 67 949 68 159
Principal residences 41 345 44 978 48 462 51 021 53 870 55 588 56 168 55 477 55 857
Second dwellings and occasional dwellings 2 707 3 397 3 895 4 261 3 896 3 531 3 572 3 400 3 555
Vacant accommodations 3 683 3 873 4 609 5 024 5 000 6 230 7 460 9 072 8 747
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.

LOG T1bis - Categories of housings

LOG T1bis - Categories of housings
Category of housing 2011 2016 2022
Principal residences 83,6 81,6 82,0
Second dwellings and occasional dwellings 5,3 5,0 5,2
Vacant dwellings 11,1 13,4 12,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T2 - Types of housings

LOG T2 - Types of housings
Type of housing 2011 % 2016 % 2022 %
Altogether 67 199 100,0 67 949 100,0 68 159 100,0
Houses 43 998 65,5 45 158 66,5 45 759 67,1
Flats 22 738 33,8 22 395 33,0 21 834 32,0
Others 463 0,7 396 0,6 566 0,8
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T2bis - Contributions to the change in the number of principal residences

LOG T2bis - Contributions to the change in the number of principal residences
Contributions 2011-2016 % 2016-2022 %
Total change –690 –1,0 380 0,6
due to the household size effect 1 835 2,7 1 709 2,5
due to the demographic effect –2 525 –3,8 –1 330 –2,0
  • Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
Number of rooms 2011 % 2016 % 2022 %
Altogether 56 168 100,0 55 477 100,0 55 857 100,0
1 room 1 726 3,1 1 757 3,2 1 639 2,9
2 rooms 5 999 10,7 5 500 9,9 5 528 9,9
3 rooms 13 117 23,4 12 995 23,4 12 251 21,9
4 rooms 16 590 29,5 15 713 28,3 15 632 28,0
5 rooms or above 18 736 33,4 19 512 35,2 20 808 37,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 4,0 4,1 4,2
House 4,5 4,6 4,7
Flat 3,0 3,0 3,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4bis - Dwelling occupancy index

LOG T4bis - Dwelling occupancy index
Occupancy index 2011 2016 2022
Standard occupancy 18,3 16,9 16,1
Moderate over-occupation 4,8 4,7 4,3
Severe over-occupation 0,3 0,3 0,2
Moderate under-occupation 28,4 28,0 26,8
Severe under-occupation 25,8 25,2 24,9
Very severe under-occupation 22,4 25,0 27,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 55 446 100,0
Before 1919 9 071 16,4
From 1919 to 1945 6 759 12,2
From 1946 to 1970 13 340 24,1
From 1971 to 1990 17 057 30,8
From 1991 to 2005 5 100 9,2
From 2006 to 2019 4 118 7,4
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

LOG G1 - Principal residences in 2022 by completion period and housing category
House Flat
Before 1919 7 420 1 570
From 1919 to 1945 5 099 1 644
From 1946 to 1970 7 404 5 892
From 1971 to 1990 10 995 5 801
From 1991 to 2005 3 978 1 087
From 2006 to 2018 3 339 743
  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T6 - Length of residence in the main residences in 2022

LOG T6 - Length of residence in the main residences in 2022
Length of residence Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 55 857 100,0 109 836 4,2 2,1
Less than 2 years ago 6 416 11,5 11 915 3,4 1,8
From 2 to 4 years ago 10 004 17,9 20 125 3,7 1,8
From 5 to 9 years ago 8 569 15,3 18 789 4,1 1,9
10 years ago or above 30 868 55,3 59 007 4,5 2,4
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

LOG G2 - Length of residence of households in 2022
Share of households in%
Less than 2 years ago 11,5
From 2 to 4 years ago 17,9
From 5 to 9 years ago 15,3
From 10 to 19 years ago 19,4
From 20 to 29 years ago 12,7
30 years ago or above 23,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T7 - Principal residences by housing tenure

LOG T7 - Principal residences by housing tenure
2011 2016 2022
Housing tenure Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 56 168 100,0 55 477 100,0 55 857 100,0 109 836 17,5
Homeowner 34 688 61,8 34 589 62,3 35 007 62,7 72 780 22,9
Tenant 20 396 36,3 19 880 35,8 19 800 35,4 35 025 8,2
including public tenants 8 730 15,5 8 180 14,7 7 719 13,8 14 593 10,7
Housed for free 1 084 1,9 1 008 1,8 1 051 1,9 2 030 12,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T8M - Comfort of principal residences: primary heating fuel

LOG T8M - Comfort of principal residences: primary heating fuel
Fuel 2011 % 2016 % 2022 %
Town gas - district heating network 25 092 44,7 24 191 43,6 23 746 42,5
Fuel oil 7 229 12,9 6 104 11,0 4 895 8,8
Electricity 14 452 25,7 14 876 26,8 16 406 29,4
Bottled or tank gas 955 1,7 744 1,3 633 1,1
Other (wood, solar, geothermal, etc.) 8 441 15,0 9 562 17,2 10 177 18,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9 - Household automotive equipment

LOG T9 - Household automotive equipment
Equipment 2011 % 2016 % 2022 %
At least one car 46 365 82,5 45 859 82,7 46 784 83,8
 1 car 26 830 47,8 25 882 46,7 26 595 47,6
 2 cars or above 19 535 34,8 19 977 36,0 20 189 36,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9bis - Parking space reserved for personal use

LOG T9bis - Parking space reserved for personal use
Parking space 2011 % 2016 % 2022 %
All principal residences 56 168 100,0 55 477 100,0 55 857 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 37 452 66,7 36 311 65,5 36 731 65,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Arrondissement of Nevers (583)

FOR T1 - Schooling by age in 2022

FOR T1 - Schooling by age in 2022
Age Scholarized population Total
2 to 5 years old 3 003 3 953
6 to 10 years old 5 591 5 740
11 to 14 years old 4 864 4 951
15 to 17 years old 3 968 4 212
18 to 24 years old 3 030 7 690
25 to 29 years old 196 5 186
30 years old or above 582 79 079
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR T2 - Schooling rate by sex in 2022 (in %)

FOR T2 - Schooling rate by sex in 2022 (in %)
Age Male Female Total
2 to 5 years old 75,5 76,5 76,0
6 to 10 years old 97,1 97,8 97,4
11 to 14 years old 98,0 98,5 98,2
15 to 17 years old 92,7 95,9 94,2
18 to 24 years old 39,1 39,8 39,4
25 to 29 years old 3,9 3,7 3,8
30 years old or above 0,7 0,7 0,7
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 75,4 73,4 76,0
6 to 10 years old 98,3 97,8 97,4
11 to 14 years old 98,4 98,4 98,2
15 to 17 years old 94,1 95,3 94,2
18 to 24 years old 42,9 40,6 39,4
25 to 29 years old 3,6 4,1 3,8
30 years old or above 0,6 0,7 0,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR G1 - Schooling rate by age (in %)

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR T3 - Highest level of graduation for population aged 15 years or over by sex in 2022

FOR T3 - Highest level of graduation for population aged 15 years or over by sex in 2022
Diploma Male Female Total
Proportion of unschooled aged 15 years or above 41 486 46 906 88 391
No diploma or primary education certificate in % 19,0 24,9 22,2
BEPC brevet des collèges or DNB in % 4,5 6,5 5,6
CAP, BEP or equivalent in % 36,5 25,8 30,8
Baccalauréat, brevet professionnel or equivalent in % 18,3 18,2 18,3
2 years at university in % 9,2 10,4 9,8
3 to 4 years at university in % 5,9 8,8 7,5
5 years or more at university in % 6,6 5,4 5,9
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
2011 2022
No diploma or primary education certificate 30,6 22,2
BEPC brevet des collèges or DNB 6,3 5,6
CAP, BEP or equivalent 29,9 30,8
Baccalauréat, brevet professionnel or equivalent 15,6 18,3
Higher education degree 17,6 23,2
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2016 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2016 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

Active population, employment and unemployment within the meaning of the census in 2022

Arrondissement of Nevers (583)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2011 2016 2022
Altogether 74 865 68 669 65 211
Working age adult in % 69,5 70,7 71,4
 Working age adults with a job in % 60,1 60,7 63,2
 Unemployed workers in % 9,4 10,0 8,2
Economically inactive people in % 30,5 29,3 28,6
 Pupils, students or interns in % 8,5 8,5 8,7
 Retirees in % 11,8 10,2 8,6
 Other economically inactive people in % 10,2 10,7 11,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 65 211 46 541 71,4 41 215 63,2
 15 to 24 years old 11 903 5 514 46,3 4 319 36,3
 25 to 54 years old 36 921 32 374 87,7 28 939 78,4
 55 to 64 years old 16 387 8 653 52,8 7 956 48,6
Male 32 558 23 883 73,4 21 123 64,9
 15 to 24 years old 6 472 3 211 49,6 2 499 38,6
 25 to 54 years old 18 156 16 435 90,5 14 746 81,2
 55 to 64 years old 7 929 4 237 53,4 3 879 48,9
Female 32 654 22 658 69,4 20 091 61,5
 15 to 24 years old 5 430 2 303 42,4 1 820 33,5
 25 to 54 years old 18 765 15 939 84,9 14 194 75,6
 55 to 64 years old 8 458 4 416 52,2 4 077 48,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 63,2
Unemployed workers 8,2
Retirees 8,6
Pupils, students or interns 8,7
Other economically inactive people 11,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 51 946 44 918 48 388 41 429 46 194 40 935
including farmer operators 1 032 1 016 858 853 743 733
including handicrafters, traders and business leaders 2 765 2 566 2 566 2 458 2 309 2 225
including managers and higher intellectual professions 4 922 4 736 4 730 4 568 5 115 4 984
including intermediate professions 12 082 11 321 11 735 10 980 12 271 11 533
including employees 16 127 13 689 15 028 12 497 13 874 11 906
including workers 14 297 11 589 12 619 10 073 11 216 9 554
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2011 2016 2022
Number of unemployed workers 7 020 6 895 5 326
Unemployment rate in % 13,5 14,2 11,4
Unemployment of the 15-24 aged 29,8 29,6 21,7
Unemployment of the 25-54 aged 11,8 12,8 10,6
Unemployment of the 55-64 aged 9,2 10,6 8,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 25,9
BEPC brevet des collèges or DNB 18,0
CAP, BEP or equivalent 13,5
Baccalauréat, brevet professionnel or equivalent 10,6
2 years at university 6,7
3 to 4 years at university 4,8
5 years or more at university 4,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 47 679 44 625 44 639
Working age adult living in the area 45 444 42 217 42 047
Occupational concentration by industry 104,9 105,7 106,2
employment rate of 15 years old or above in % 51,8 50,4 49,3
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations holdings, place of residence and place of work, geography as of 01/01/2025.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2011 % 2016 % 2022 %
Altogether 47 679 100,0 44 625 100,0 44 639 100,0
Employee 42 391 88,9 39 404 88,3 39 525 88,5
 including women 21 326 44,7 20 099 45,0 20 121 45,1
 including part time jobs 7 150 15,0 6 552 14,7 5 830 13,1
Non-employee 5 288 11,1 5 221 11,7 5 115 11,5
 including women 1 813 3,8 1 904 4,3 1 879 4,2
 including part time jobs 511 1,1 557 1,2 646 1,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 44 090 100,0
Farmer operators 824 1,9
Handicrafters, traders, business leaders 2 418 5,5
Managers and higher intellectual professions 5 324 12,1
Intermediate professions 12 728 28,9
Employees 12 620 28,6
Workers 10 176 23,1
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 2,2 2,1 1,9
Handicrafters, traders, business leaders 5,8 5,9 5,5
Managers and higher intellectual professions 10,6 11,3 12,1
Intermediate professions 25,1 27,1 28,9
Employees 30,5 29,8 28,6
Workers 25,7 23,8 23,1
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 47 861 100,0 44 536 100,0 44 090 100,0 49,2 89,6
Agriculture 1 485 3,1 1 439 3,2 1 262 2,9 27,1 35,2
Industry 7 140 14,9 6 599 14,8 5 934 13,5 24,8 94,6
Construction 3 165 6,6 2 597 5,8 2 729 6,2 11,8 78,0
Wholesale and retail trade/transports/accommodations and food service activities 19 193 40,1 17 598 39,5 17 654 40,0 46,5 88,1
Public administration/education/human health/social work 16 877 35,3 16 303 36,6 16 511 37,4 68,6 95,5
  • Sources : Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022
Employees Non-employees
Agriculture 21,4 30,3
Industry 24,4 31,5
Construction 13,8 4,8
Wholesale and retail trade, transports, accommodations and food service activities 46,9 43,3
Public administration, education, human health, social work 69,1 57,6
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

Characteristics of employment in the sense of the census in 2022

Arrondissement of Nevers (583)

ACT T1 - Population aged 15 years or over having a job by status in 2022

ACT T1 - Population aged 15 years or over having a job by status in 2022
Employment status Number % of which % part-time of which % women
Altogether 42 021 100,0 14,5 48,8
Employees 37 083 88,2 14,7 50,4
Non-employees 4 938 11,8 12,6 36,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022
Employment status and conditions Male % Female %
Altogether 21 517 100 20 504 100
Employees 18 391 85,5 18 692 91,2
 Tenured personnel and open-ended employment contracts 15 279 71,0 15 854 77,3
 Fixed-term employment contracts 1 464 6,8 2 021 9,9
 Temporary employment 539 2,5 251 1,2
 Assisted jobs 167 0,8 133 0,6
 Apprentice ship contract - Traineeship 943 4,4 433 2,1
Non-employees 3 126 14,5 1 812 8,8
 Independents 1 710 7,9 1 222 6,0
 Employers 1 372 6,4 543 2,6
 Caregivers 45 0,2 47 0,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022
Age Male of which% part-time Female of which% part-time
Altogether 18 213 6,9 18 409 21,5
15 to 24 years old 2 372 17,8 1 745 25,2
25 to 54 years old 12 713 4,4 12 968 20,5
55 to 64 years old 3 127 8,5 3 695 23,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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
2011 2016 2022
Male 6,1 7,1 7,3
Female 26,6 25,5 22,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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
Work Area 2011 % 2016 % 2022 %
Altogether 45 432 100 42 210 100 42 021 100
Working in their residential zone 16 876 37,1 15 253 36,1 14 664 34,9
Working in another zone 28 556 62,9 26 957 63,9 27 358 65,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

ACT G2 - Proportion of transports used to go to work in 2022
Percentage
None 4,1
Walking 6,6
Bicycle 2,4
Motorized two-wheeled vehicles 1,2
Car or truck 81,5
Public transports 4,1
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

Births and Deaths of people with usual residence in the area, 2015-2024

Arrondissement of Nevers (583)

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
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Domiciled deaths 1 435 1 504 1 556 1 477 1 438 1 545 1 537 1 520 1 542 1 515
Domiciled births 1 103 1 039 979 959 937 875 945 899 886 841
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

RFD G1 - Births and Deaths of people with usual residence in the area

  • Source: Insee, civil status statistics in geography as of 01/01/2025.

Household income and poverty in 2021

Arrondissement of Nevers (583)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 52 881
Number of people in tax households 105 972
Median disposable income (per consumption unit in euros) 21 630
Share of actually taxed tax households (in %) 47,8
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Less than 30 years old 25,6
30 to 39 years old 20,6
40 to 49 years old 18,2
50 to 59 years old 15,4
60 to 74 years old 11,5
75 and over 9,4
Altogether 15,6
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Homeowner 7,6
Tenant 32,6
Altogether 15,6
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income Share in %
Work income 62,5
   Wages 55,7
   Unemployment pensions 2,2
   Self-employed income 4,6
Retirement pension or annuity 38,0
Capital income (real estate, financial, others) 6,5
Social benefits 6,9
   Child benefit 1,9
   Income support 3,7
   Housing benefit 1,3
Tax –13,9
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 21 630
Inter-decile ratio 2,9
1st decile (in euros) 12 010
9th decile (in euros) 34 620
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2023

Arrondissement of Nevers (583)

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023
Altogether Female Male
Altogether 2 278 2 104 2 405
Managerial staff* 3 674 3 316 3 859
Intermediate professions 2 509 2 347 2 652
Employees 1 868 1 851 1 911
Workers 2 023 1 782 2 077
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023
Pay gap (%)
Altogether –12,5
Managerial staff* –14,1
Intermediate professions –11,5
Employees –3,1
Workers –14,2
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023
Age Altogether Female Male
Less than 25 years old 1 777 1 709 1 823
25 to 39 years old 2 123 1 987 2 219
40 to 49 years old 2 375 2 185 2 514
50 to 54 years old 2 445 2 250 2 584
55 years old or older 2 551 2 271 2 779
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023
Pay gap (%)
Less than 25 years old –6,3
25 to 39 years old –10,5
40 to 49 years old –13,1
50 to 54 years old –12,9
55 years old or older –18,3
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

Establishment characteristics at the end of 2023

Arrondissement of Nevers (583)

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 3 594 100,0 312 2 541 358 232 151
Agriculture, forestry and fishing 240 6,7 49 185 5 1 0
Industrial economy 259 7,2 15 155 30 32 27
Building industry 361 10,0 34 268 38 19 2
Trade, transport, various services 2 108 58,7 187 1 595 201 87 38
General government, education, healthcare, social action 626 17,4 27 338 84 93 84
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 employees and more
Altogether 40 914 100,0 7 606 4 812 6 842 6 280 15 374
Agriculture, forestry and fishing 410 1,0 316 69 25 0 0
Industrial economy 5 714 14,0 585 440 960 948 2 781
Building industry 2 068 5,1 886 522 517 143 0
Trade, transport, various services 15 556 38,0 4 712 2 619 2 571 1 481 4 173
General government, education, healthcare, social action 17 166 42,0 1 107 1 162 2 769 3 708 8 420
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
Part
Agriculture, forestry and fishing 6,7
Industrial economy 7,2
Building industry 10,0
Trade, transport, various services 58,7
General government, education, healthcare, social action 17,4
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

RES G2 - Distribution of establishments by workforce size at the end of 2023
Part
50 or more employees 4,2
20 to 49 employees 6,5
10 to 19 employees 10,0
1 to 9 employees 70,7
0 employee 8,7
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T3 - Establishments according to the spheres of the economy at the end of 2023

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 3 594 100,0 40 914 100,0
Productive sphere 1 025 28,5 10 735 26,2
of which public domain 9 0,3 595 1,5
Presential sphere 2 569 71,5 30 179 73,8
of which public domain 337 9,4 11 510 28,1
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 4 779 100,0
Employers of childminders 1 756 36,7
Employers of other employees 3 023 63,3
  • Scope: private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

Business and establishment set-ups in 2024

Arrondissement of Nevers (583)

DEN T1 - Business set-ups by sector of activity in 2024

DEN T1 - Business set-ups by sector of activity in 2024
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 1 057 81,7 5,2 12,7 0,4
Industry 123 83,7 1,6 13,8 0,8
Construction 100 70,0 12,0 18,0 0,0
Wholesale and retail trade/transports/accommodations and food service activities 305 79,7 7,2 13,1 0,0
Information/communication 56 89,3 0,0 8,9 1,8
Finance and insurance activities 19 21,1 15,8 63,2 0,0
Real estate activities 30 63,3 3,3 33,3 0,0
Professional/scientific/technical activites/administrative and support service activities 200 84,5 4,5 11,0 0,0
Public administration/education/healthcare/social work 92 92,4 3,3 3,3 1,1
Other service activities 132 91,7 2,3 5,3 0,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 598 581 630 592 617 636 683 764 784 1 048 1 051 975 1 057
Sole proprietorship 481 469 488 460 468 474 523 605 643 854 805 766 864
SARL 97 79 90 67 68 72 76 49 59 75 89 66 55
SAS 14 24 41 57 68 83 70 98 75 113 152 131 134
Other societies 6 9 11 8 13 7 14 12 7 6 5 12 4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T2 - Establishment set-ups by economic sectors in 2024

DEN T2 - Establishment set-ups by economic sectors in 2024
Sector of activity Altogether %
Altogether 1 261 100,0
Industry 188 14,9
Construction 111 8,8
Wholesale and retail trade/transports/accommodations and food service activities 356 28,2
Information/communication 54 4,3
Finance and insurance activities 22 1,7
Real estate activities 44 3,5
Professional/scientific/technical activites/administrative and support service activities 223 17,7
Public administration/education/healthcare/social work 115 9,1
Other service activities by the number of business creations including free lancers 148 11,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Establishment set-ups 692 662 714 684 718 725 808 920 904 1 225 1 206 1 140 1 261
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Number of legal entities and establishments in 2023

Arrondissement of Nevers (583)

DEN T3 - Number of economically active legal units by economic sector in 2023

DEN T3 - Number of economically active legal units by economic sector in 2023
Sector of activity Number %
Altogether 6 089 100,0
Industry 493 8,1
Construction 741 12,2
Wholesale and retail trade/transports/accommodations and food service activities 1 580 25,9
Information/communication 120 2,0
Finance and insurance activities 210 3,4
Real estate activities 355 5,8
Professional/scientific/technical activites/administrative and support service activities 901 14,8
Public administration/education/human health/social work 956 15,7
Other service activities 733 12,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T4 - Number of economically active establishments by economic sector in 2023

DEN T4 - Number of economically active establishments by economic sector in 2023
Sector of activity Number %
Altogether 7 022 100,0
Industry 580 8,3
Construction 798 11,4
Wholesale and retail trade/transports/accommodations and food service activities 1 938 27,6
Information/communication 137 2,0
Finance and insurance activities 292 4,2
Real estate activities 366 5,2
Professional/scientific/technical activites/administrative and support service activities 1 073 15,3
Public administration/education/human health/social work 1 053 15,0
Other service activities 785 11,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Facilities and services for the population in 2024

Arrondissement of Nevers (583)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 34
Grocery store, convenience store 40
Bakery and pastry shop 73
Service station 32
Electric vehicle charging station 44
Hair salon 164
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024
Healthcare professionals and pharmacies Number
General practitioner 90
Dentist 75
Physiotherapist 77
Nurse 154
Psychologist 42
Pharmacy 44
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T3 - Number of educationals institutions or libraries in 2024

EQUIP T3 - Number of educationals institutions or libraries in 2024
Educational or cultural institutions Number
Nursery and primary school 94
Middle school 16
General and/or technological upper secondary school 5
Vocational or agricultural upper secondary school 5
Library 38
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2026

Arrondissement of Nevers (583)

TOU T1 - Number and capacity of hotels on the 1st of January 2026

TOU T1 - Number and capacity of hotels on the 1st of January 2026
Number of stars Hotels Rooms
Altogether 33 1 032
1 star 1 16
2 stars 12 460
3 stars 10 303
4 stars 3 157
5 stars 0 0
Non-ranked 7 96
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T2 - Number and capacity of campsites on the 1st of January 2026

TOU T2 - Number and capacity of campsites on the 1st of January 2026
Number of stars Campsites Pitches
Altogether 9 429
1 star 1 51
2 stars 0 0
3 stars 4 276
4 stars 0 0
5 stars 0 0
Non-ranked 4 102
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2026

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2026
Type of accomodation Accommodation Number of bed places (1)
Altogether 3 724
Tourist accommodations 1 196
Holiday villages or private homes 1 454
Youth hostels or sports center 1 74
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

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.

Wage in full-time equivalent (FTE) :

Wage in full-time equivalent (FTE) is a wage converted to a full-time throughout the full year, regardless of the actual workload. For an employee who has held a job for six months at 80% and has earned a total of 10 000 euros, the wage in FTE is 10 000 / (0.5 * 0.8) = 25 000 euros per year.

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.

Other definitions are accessible on insee.fr, as well as the concepts specific to the population census.

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 birthsare 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 deathsare 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 (BTS)

The scope corresponds to employees in the private sector, including beneficiaries of subsidised contracts and professionalisation contracts; excluding apprentices, trainees, agricultural employees and employees of private individuals.

Business Demography Information System (Side)

The indicators relate to the creation and stock of companies and establishments in all non-agricultural productive and market activities. This field includes financial activities.

When referring to enterprises, all counts actually relate to legal units for this source. When a legal unit comprises several establishments, it is located at its head office.

The number of new enterprises or establishments corresponds to the number of legal units or establishments created during year N.

The number of businesses or establishments in year N corresponds to the number of legal units or economically active establishments in 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.

Permanent database of facilities

The permanent database of facilities (BPE) is a database intended for statistical purposes. It lists a wide range of facilities and services, whether commercial or not, that are accessible to the public throughout France as of January 1st each year.

The permanent database of facilities (BPE) is powered by different sources : sources used.

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.

Unique electoral register

The unique electoral register covers all french territories except New Caledonia.

The scope concerns voters registered on the main electoral list.

The main electoral lists, maintained by the municipalities, record french voters associated with them who are eligible to participate in elections governed by the provisions of the electoral code, as well as any other consultations based on these lists.

Géographie

Population censuses 2011, 2016, 2022: dissemination in the municipalities of France outside Mayotte in geography on 2025;

Vital statistics: distribution to all municipalities in France in geography as of 2025;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2025;

All employees databases (BTS), 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 01/01/2025;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2025;

Business Demography Information System (Side) - Business and establishment set-ups: distribution to all municipalities in France, in geography as of 01/01/2025;

Business Demography Information System (Side) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2025;

Permanent database of facilities: coverage across all municipalities in France, geography as of 01/01/2025. The data cover metropolitan France and the five overseas departments (DOM);

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2025

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.

Confidentiality and precautions of the All Employees databases (BTS)

Data from the All Employees databases are subject to statistical confidentiality.

No statistics are published for areas with fewer than 2,000 inhabitants.

In addition, each box in the table must contain at least 5 employees and no employee may represent more than 80% of the total payroll for the box. Similarly, in the case of workplace data, no box should relate to fewer than 3 establishments (or companies) and no establishment (or company) should account for more than 85% of the total payroll in the box.

As a result of these constraints, results from certain areas with more than 2,000 inhabitants were excluded from the distribution.

The salary data in the All employees database has not been assessed or validated at a geographical level finer than that of the départements. Beyond that level, the data must therefore be used with caution.

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.