données locales

Paru le : 21/02/2023

Full set of local data Municipality of Prémery (58218)

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

Growth and structure of the population in 2019

Municipality of Prémery (58218)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 2 023 100,0 1 909 100,0 1 823 100,0
0 to 14 years old 239 11,8 238 12,5 235 12,9
15 to 29 years old 243 12,0 199 10,4 196 10,8
30 to 44 years old 308 15,2 245 12,8 217 11,9
45 to 59 years old 444 21,9 393 20,6 359 19,7
60 to 74 years old 461 22,8 474 24,8 456 25,0
75 and over 328 16,2 360 18,9 360 19,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 11,8 12,5 12,9
15 to 29 years old 12,0 10,4 10,8
30 to 44 years old 15,2 12,8 11,9
45 to 59 years old 21,9 20,6 19,7
60 to 74 years old 22,8 24,8 25,0
75 and over 16,2 18,9 19,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

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

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 3 056 2 787 2 603 2 377 2 201 2 023 1 909 1 823
Average density (inhab / km²) 67,0 61,1 57,1 52,1 48,2 44,3 41,8 40,0
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % –1,3 –1,0 –1,1 –0,9 –0,9 –1,2 –0,8
due to the natural balance in % 0,1 –0,1 –0,5 –0,9 –0,9 –1,0 –1,1
due to the apparent balance of inflows and outflows in % –1,4 –0,9 –0,7 0,0 –0,1 –0,1 0,3
Natality rate (‰) 12,1 12,2 9,6 8,2 8,5 7,7 7,6
Mortality rate (‰) 11,1 12,8 14,2 17,1 17,1 17,8 18,4
  • 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 857 100,0 966 100,0
0 to 14 years old 120 14,0 115 11,9
15 to 29 years old 107 12,5 89 9,2
30 to 44 years old 104 12,1 113 11,7
45 to 59 years old 168 19,6 191 19,8
60 to 74 years old 221 25,8 235 24,3
75 to 89 years old 124 14,5 183 18,9
90 years and over 13 1,5 40 4,1
0 to 19 years old 159 18,6 148 15,4
20 to 64 years old 417 48,7 438 45,3
65 and over 281 32,8 380 39,3
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Prémery (58218)

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 3,02 2,75 2,51 2,33 2,09 1,99 1,92 1,92
  • (*) 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 3,9 1,4
20 to 24 years old 10,8 9,8 25,7
25 to 39 years old 17,1 15,2 11,0
40 to 54 years old 11,4 17,4 18,0
55 to 64 years old 22,0 23,2 24,9
65 to 79 years old 29,8 28,8 30,0
80 and over 45,0 51,3 53,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

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

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

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 2,3 1,3 2,8
20 to 24 years old 47,3 31,1 30,3
25 to 39 years old 62,8 70,0 77,5
40 to 54 years old 79,0 67,9 66,7
55 to 64 years old 73,4 72,1 68,5
65 to 79 years old 65,1 65,3 66,2
80 and over 43,1 38,2 39,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 45,9
Civil partnership 3,2
In cohabitation 11,8
Widowed 12,3
Divorced 8,2
Single 18,7
  • 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.

Housing in 2019

Municipality of Prémery (58218)

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 1 119 1 154 1 242 1 245 1 295 1 305 1 315 1 315
Main residences 979 1 008 1 035 1 016 1 050 998 971 929
Second homes 66 65 95 99 125 146 138 107
Vacant dwellings 74 81 112 130 120 161 206 279
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2008 % 2013 % 2019 %
Altogether 1 305 100,0 1 315 100,0 1 315 100,0
Main residences 998 76,5 971 73,8 929 70,7
Second homes 146 11,2 138 10,5 107 8,1
Vacant dwellings 161 12,3 206 15,7 279 21,2
Houses 1 001 76,7 1 044 79,4 1 057 80,4
Flats 301 23,1 269 20,5 253 19,2
  • 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 998 100,0 971 100,0 929 100,0
1 room 27 2,7 29 3,0 17 1,8
2 rooms 87 8,7 82 8,4 76 8,2
3 rooms 226 22,6 237 24,4 216 23,2
4 rooms 317 31,8 290 29,9 291 31,3
5 rooms and over 341 34,2 333 34,3 330 35,5
  • 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 4,1 4,1 4,2
Houses 4,4 4,4 4,4
Flats 3,1 2,9 3,1
  • 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 1,1
Non-over-occupied 98,9
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

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

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

LOG T5 - Main residences in 2019 by completion period

LOG T5 - Main residences in 2019 by completion period
Number %
Principal residences build before 2016 922 100,0
before 1919 288 31,2
from 1919 to 1945 107 11,6
from 1946 to 1970 165 17,9
from 1971 to 1990 257 27,8
from 1991 to 2005 58 6,3
from 2006 to 2015 48 5,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 245 43
from 1919 to 1945 95 11
from 1946 to 1970 139 26
from 1971 to 1990 192 63
from 1991 to 2005 49 7
from 2006 to 2015 41 7
  • 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 929 100,0 1 781 4,2 2,2
Less than 2 years 93 10,0 179 3,8 2,0
From 2 to 4 years 123 13,2 276 4,1 1,8
From 5 to 9 years 135 14,5 293 4,2 1,9
10 years and over 578 62,2 1 033 4,3 2,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 10,0
From 2 to 4 years 13,2
From 5 to 9 years 14,5
From 10 to 19 years 20,8
From 20 to 29 years 13,0
30 years and over 28,5
  • 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 998 100,0 971 100,0 929 100,0 1 781 19,7
Homeowner 672 67,3 672 69,2 655 70,5 1 270 24,0
Tenant 303 30,4 281 28,9 249 26,8 476 9,1
(including social sector housing) 96 9,6 83 8,5 70 7,5 116 8,0
Housed for free 23 2,3 18 1,9 25 2,7 35 12,2
  • 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 998 100,0 971 100,0 929 100,0
Bathroom including a shower or a bath 970 97,2 936 96,4 904 97,3
Collective central heating 132 13,2 89 9,2 73 7,8
Individual central heating 373 37,4 371 38,2 399 42,9
Individual electric heating 232 23,2 242 24,9 225 24,2
  • 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 998 100,0 971 100,0 929 100,0
At least one parking spot 629 63,0 615 63,3 633 68,1
At least one car 805 80,7 792 81,6 769 82,7
1 car 515 51,6 475 48,9 449 48,3
2 cars and over 290 29,1 317 32,6 320 34,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Prémery (58218)

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 55 42 76,4 80,0 73,3
6 to 10 years old 72 67 93,1 91,3 96,2
11 to 14 years old 88 88 100,0 100,0 100,0
15 to 17 years old 54 52 96,3 100,0 91,3
18 to 24 years old 84 13 15,5 14,9 16,3
25 to 29 years old 58 0 0,0 0,0 0,0
30 years old and over 1 391 3 0,2 0,3 0,1
  • 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 80,3 76,9 76,4
6 to 10 years old 97,4 100,0 93,1
11 to 14 years old 100,0 100,0 100,0
15 to 17 years old 96,6 96,4 96,3
18 to 24 years old 32,7 32,1 15,5
25 to 29 years old 0,0 8,1 0,0
30 years old and over 0,3 0,3 0,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

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

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 1 519 697 823
Proportion of graduates in percentage
No diploma or primary education certificate 31,8 26,1 36,6
BEPC brevet des collèges or DNB 7,8 4,7 10,4
CAP, BEP or equivalent 34,7 42,9 27,8
Baccalauréat, brevet professionnel or equivalent 13,2 13,8 12,8
2 years at university 6,3 6,3 6,3
3 to 4 years at university 2,7 2,3 3,0
5 years and over at university 3,4 3,9 3,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 44,0 31,8
BEPC brevet des collèges or DNB 7,7 7,8
CAP, BEP or equivalent 28,9 34,7
Baccalauréat, brevet professionnel or equivalent 10,6 13,2
2 years and over at university 8,8 12,4
  • 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

Municipality of Prémery (58218)

EMP T1 - Population aged 15 to 64 by economic activity status

EMP T1 - Population aged 15 to 64 by economic activity status
2008 2013 2019
Altogether 1 156 1 014 927
Labor force in % 63,8 65,6 69,3
 including people in work in % 55,5 54,6 59,9
 including unemployed workers in % 8,2 10,9 9,4
Economically inactive people in % 36,2 34,4 30,7
 including pupils, students or interns in % 6,7 5,9 5,8
 including retirees in % 19,7 18,8 13,4
 including other economically inactive people in % 9,8 9,7 11,5
  • 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 927 642 69,3 555 59,9
 15 to 24 years old 138 75 54,3 51 36,9
 25 to 54 years old 491 437 89,0 384 78,2
 55 to 64 years old 298 130 43,6 120 40,3
Male 456 327 71,7 280 61,4
 15 to 24 years old 78 42 53,8 24 30,7
 25 to 54 years old 234 222 94,9 198 84,6
 55 to 64 years old 144 63 43,7 58 40,3
Female 471 315 66,9 275 58,4
 15 to 24 years old 60 33 54,9 27 44,9
 25 to 54 years old 257 215 83,6 186 72,4
 55 to 64 years old 154 67 43,5 62 40,3
  • 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 59,9
Unemployed workers 9,4
Retirees 13,4
Pupils, students or interns 5,8
Other economically inactive people 11,5
  • 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 T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 95 111 87
Unemployment rate in % 12,9 16,7 13,6
Unemployment of the 15-24 aged 17,7 34,3 32,0
Unemployment of the 25-54 aged 12,8 15,3 12,1
Unemployment of the 55-64 aged 8,1 11,3 7,7
  • 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 19,3
BEPC brevet des collèges or DNB 24,0
CAP, BEP or equivalent 14,7
Baccalauréat, brevet professionnel or equivalent 11,8
2 years at university 4,8
3 to 4 years at university 0,0
5 years and over at university 7,7
  • 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 654 607 640
People in work living in the area 674 560 568
Employment concentration indicator 97,0 108,4 112,7
Activity rate of 15 years old and over in % 43,1 40,2 41,3
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 654 100,0 607 100,0 640 100,0
Employee 539 82,4 495 81,5 537 83,9
 including women 275 42,1 273 45,1 312 48,7
 including part-time workers 139 21,2 134 22,1 108 16,9
Non-employee 115 17,6 112 18,5 103 16,1
 including women 45 6,9 40 6,6 37 5,8
 including part-time workers 14 2,2 9 1,5 14 2,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

Characteristics of employment in the sense of the census in 2019

Municipality of Prémery (58218)

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 568 100,0 14,8 49,3
Employees 472 83,1 14,8 52,5
Non-employees 96 16,9 14,6 33,3
  • 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 288 100 280 100
Employees 224 77,8 248 88,6
 Tenured personnel and open-ended employment contracts 179 62,2 201 71,8
 Fixed-term employment contracts 20 6,9 31 11,1
 Temporary employment 7 2,4 0 0,0
 Assisted jobs 12 4,2 11 3,9
 Apprentice ship contract - Traineeship 6 2,1 5 1,8
Non-employees 64 22,2 32 11,4
 Independents 37 12,8 21 7,5
 Employers 27 9,4 10 3,6
 Caregivers 0 0,0 1 0,4
  • 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 220 4,5 245 23,7
15 to 24 years old 23 4,3 26 11,5
25 to 54 years old 157 3,2 165 24,2
55 to 64 years old 40 10,0 54 27,8
  • 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 8,4 10,6 4,9
Female 36,2 36,2 23,8
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 673 100 560 100 568 100
working :
in their residential zone 382 56,8 309 55,2 313 55,1
in another zone 291 43,2 251 44,8 255 44,9
  • 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 8,5
Walking 11,3
Bicycle 2,5
Motorized two-wheeled vehicles 1,1
Car or truck 75,7
Public transports 1,1
  • 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

Municipality of Prémery (58218)

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 36 29 26 35 38 30 40 52
Domiciled births 11 14 7 15 17 11 10 11
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2022.

Household income and poverty in 2020

Municipality of Prémery (58218)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 915
Number of people in tax households 1 691
Median disposable income (per consumption unit in euros) 19 940
Share of actually taxed tax households (in %)
  • 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.

Business and establishment set-ups in 2021

Municipality of Prémery (58218)

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 11 100,0 10 90,9
Industry 1 9,1 1 100,0
Construction 1 9,1 0 0,0
Wholesale and retail trade/transports/accommodations and food service activities 1 9,1 1 100,0
Information/communication 0 0,0 0
Finance and insurance activities 0 0,0 0
Real estate activities 0 0,0 0
Professional/scientific/technical activites/administrative and support service activities 2 18,2 2 100,0
Public administration/education/healthcare/social work 1 9,1 1 100,0
Other service activities 5 45,5 5 100,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 14 3 12 9 6 6 11 10 12 11
Sole proprietorship 14 2 9 9 4 6 9 7 10 10
  • 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 103 100,0
Industry 11 10,7
Construction 19 18,4
Wholesale and retail trade/transports/accommodations and food service activities 29 28,2
Information/communication 2 1,9
Finance and insurance activities 2 1,9
Real estate activities 3 2,9
Professional/scientific/technical activites/administrative and support service activities 9 8,7
Public administration/education/human health/social work 17 16,5
Other service activities 11 10,7
  • 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 15 100,0
Industry 1 6,7
Construction 1 6,7
Wholesale and retail trade/transports/accommodations and food service activities 1 6,7
Information/communication 0 0,0
Finance and insurance activities 0 0,0
Real estate activities 0 0,0
Professional/scientific/technical activites/administrative and support service activities 3 20,0
Public administration/education/healthcare/social work 2 13,3
Other service activities by the number of business creations including free lancers 7 46,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 19 4 14 11 6 11 14 14 16 15
  • 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 134 100,0
Industry 17 12,7
Construction 20 14,9
Wholesale and retail trade/transports/accommodations and food service activities 37 27,6
Information/communication 2 1,5
Finance and insurance activities 6 4,5
Real estate activities 5 3,7
Professional/scientific/technical activites/administrative and support service activities 13 9,7
Public administration/education/human health/social work 21 15,7
Other service activities 13 9,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Municipality of Prémery (58218)

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

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 0 0
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T2 - Number and capacity of campsites on the 1st of January 2023

TOU T2 - Number and capacity of campsites on the 1st of January 2023
Campsites Pitch
Altogether 1 60
1 star 0 0
2 stars 1 60
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2022.

Définitions

Declarative judgments of birth: Any birth occurring on French territory must be the subject of a declaration to the Civil register within three days of giving birth, giving rise to an act. If this declaration has not been made within this legal period, it is the subject of a declaration of birth giving rise to a transcription in the civil status registers.

Declarations of death: When death is insured but the body could not be found (plane crash, disappearance at sea ...), a declaratory judgment of death is drawn up which results in transcription on the civil status registers.

Tax household: Household made up of the grouping of tax households listed in the same dwelling. Its existence in a given year is due to the fact that at least an independent declaration of income coincides with the occupation of a dwelling known to the Housing Tax. Households made up of people who do not have their fiscal independence (mainly students) are counted in households where they declare their income even if they occupy independent accommodation.

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

Market activity: The activity of a company is qualified as market if its operating expenses are normally covered for more than 50 % through the sale of its production. The activity of an establishment is market if this establishment contributes essentially to the production of a good or service considered to be market, either by nature or because its selling price exceeds 50 % of its production costs.

Public domain: An establishment belongs to this area if it is part of a legal category 7 enterprise (legal person or body subject to administrative law) or if more than half of its workforce is part of the State civil service.

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

Champ

Population censuses

The data are offered to users in particular for comparing municipalities, grouping variable categories or obtaining results on personalized sets of municipalities.

Derived from calculations linked to sampling techniques, the data in terms of numbers are provided with several decimal places; these must be used for all calculations carried out, in order to avoid rounding errors.

For more information on the population census, consult the page of presentation of the population census.

The data come either from the main farm (princ.) or from the complementary farm (compl).

For more methodological information, you can consult the sheets "Tips on using census results".

These sheets present the characteristics of the population census and deal with their consequences on the use of the data. They specify in particular the changes affecting the main statistical variables and their comparability with previous censuses.

Civil register

Annual statistics concerning domiciled births are drawn up from the statistical bulletins of civil status, drawn up by the mayors, at the time and in the municipality where the births take place. They relate to births having taken place in all the municipalities of France. Births that took place abroad or in the overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the mother's domicile in France.

The statistics include declarative judgments of birth, but do not take into account stillbirths.

Annual statistics concerning domiciled deaths are drawn up from civil status statistics bulletins drawn up by the mayors, at the time and in the municipality where the deaths took place. They relate to deaths that have occurred in all municipalities in France. Deaths having occurred abroad or in overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the deceased's domicile in France.

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

The scope covered is that of all ordinary tax households: it excludes people who are homeless or living in institutions (prison, home, retirement home, etc.).

The share of taxed households is calculated on the basis of households whose declared income is positive or zero.

Other indicators are calculated on the basis of households with positive or zero disposable income.

Municipalities without inhabitant or without inhabitant subject to the housing tax are not in the list of municipalities.

All employees databases

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units and the creation of businesses and establishments of all non-agricultural market activities. This field includes financial activities.

When a company has several establishments, it is located at its head office.

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

The number of business or establishment creations corresponds to the number of businesses or establishments created during year N.

Pay and salaried employment localized file (Flores)

The Flores system (Pay and salaried employment localized file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments which ceased their activity during the year.

The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.

Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.

The Flores device succeeds Clap, whose last vintage described the year 2015. The results from Flores and Clap are not comparable, and therefore should not be the subject of evolving comparative analyzes.

Specifically:

-Clap covered all active establishments, employers and non-employers. The number of establishments with zero staff at the end of the year was therefore much higher in Clap, because of this difference in field.

- Conversely, Clap only counted so-called non-ancillary jobs, that is to say those exceeding a certain threshold of remuneration and / or duration. This restriction has been removed in Flores, which counts all workstations.

Hotel occupancy survey

The scope covers tourist hotels, classified or not, with more than 5 bedrooms and campsites with more than 10 pitches, classified or not, including residential campsites. It also covers other collective tourist accommodation.

Statistics on the accommodation offer are established in conjunction with the regional tourism committees (CRT) and the general management of enterprises (DGE). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel business relate to the campsites offering sites for transient customers intended for tourists who do not choose to live there as well. only on campsites offering pitches rented year-round, that is to say to a single customer for the entire period when the campsite is open.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France. The distribution by star is not available for the 2013 vintage for hotels, because the classification being paid, the distribution by star was not significant.

The information on other collective accommodation in the overseas departments is of lower quality. Since 2018, the field concerning other collective accommodation in the overseas departments has been deleted. The workforce from other collective accommodation has been transferred to hotels.

Géographie

Population censuses 2008, 2013, 2019: dissemination in the municipalities of France outside Mayotte in geography on 01/01/2022;

Vital statistics: distribution to all municipalities in France in geography as of 01/01/2022;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2022;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2022;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2022;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2022

Release threshold for the population census

The population census makes it possible to know the diversity and evolution of the population of France. Insee thus provides statistics on inhabitants and dwellings, their number and their characteristics: distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc.

Data from additional census holdings are not disseminated for areas less than 2 000 inhabitants. In addition, numbers below 200 should be handled with care, as it cannot be significant.

Particularity of Civil register data

The data, for the municipalities of Paris (75056), Lyon (69123) and Marseille (13055), are presented for the entire municipality and for each municipal district.

For these municipalities, the municipal district of the domicile is not systematically informed about the statistical bulletin. Births are therefore only counted in the database at the level of the municipality and not of the municipal district. The sum of births in the arrondissements of Lyon (Marseille and Paris respectively) is therefore not always equal to the number of births in the municipality of Lyon (Marseille and Paris respectively).

Dissemination threshold and statistical confidentiality of the Localized Social and Fiscal File (FiLoSoFi)

Data from FiLoSoFi are subject to statistical confidentiality. No statistics are disseminated on very small areas (less than 50 households and less than 100 people).

Three indicators (median standard of living, counts in number of households and number of people) are proposed for areas with more than 50 households or more than 100 people.

In the largest areas (more than 1,000 households or more than 2 000 people), all indicators are generally offered. They are also disseminated on the sub-populations associated with a socio-demographic criterion (for example under 30 years) having a minimum number of at least 200 people and at least 11 households.

Poverty rates are disseminated for areas with more than 1,000 households or more than 2 000 ppeople in which there are at least 200 people and 11 poor households, as well as at least 200 people and 11 households above the poverty line.

They are distributed to sub-populations associated with a socio-demographic criterion (for example under 30s) with a minimum workforce of at least 200 people. and at least 11 poor households and at least 200 people and at least 11 households above the poverty line.

When the rates are in the ranges [0; 5] and [95; 100], the exact value is not displayed, it is replaced by the values ​​5 % and 95 % respectively.

The components of disposable income are disseminated over areas over 1 000 households or more than 2 000 people, provided that for each of the income components there are at least 11 households for which the component is non-zero.

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

Warning on the nature of municipal data and their use for the localized file of remunerations and salaried employment (Flores)

INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should focus on areas "of sufficient size" (several thousand salaried positions), in order to limit errors that could be due to occasional erroneous declarations by certain establishments.

Status of municipal data from Flores differs in particular from that of Employment Estimates, which are subject to full validation by experts and which are disseminated at a more aggregate level (department and employment area at the finest). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.