données locales

Paru le : 27/02/2024

Full set of local data Employment area 2020 of Pau (7522)

Detailed figures
Paru le :Paru le27/02/2024
- February 2024

Growth and structure of the population in 2020

Employment area 2020 of Pau (7522)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2009 % 2014 % 2020 %
Altogether 312 844 100,0 316 013 100,0 318 405 100,0
0 to 14 years old 53 664 17,2 53 238 16,8 51 379 16,1
15 to 29 years old 55 129 17,6 52 791 16,7 50 970 16,0
30 to 44 years old 61 016 19,5 57 781 18,3 55 701 17,5
45 to 59 years old 64 952 20,8 65 881 20,8 66 080 20,8
60 to 74 years old 46 388 14,8 51 458 16,3 57 738 18,1
75 and over 31 696 10,1 34 865 11,0 36 538 11,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2009 2014 2020
0 to 14 years old 17,2 16,8 16,1
15 to 29 years old 17,6 16,7 16,0
30 to 44 years old 19,5 18,3 17,5
45 to 59 years old 20,8 20,8 20,8
60 to 74 years old 14,8 16,3 18,1
75 and over 10,1 11,0 11,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 2009 2014 2020
Population 239 566 256 499 269 194 279 283 288 634 312 844 316 013 318 405
Average density (inhab / km²) 87,8 94,1 98,7 102,4 105,8 114,7 115,9 116,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023.
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 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 2009 2009 to 2014 2014 to 2020
Average annual change in population in % 1,0 0,7 0,5 0,4 0,8 0,2 0,1
due to the natural balance in % 0,5 0,2 0,2 0,1 0,1 0,1 –0,0
due to the apparent balance of inflows and outflows in % 0,5 0,4 0,3 0,2 0,7 0,1 0,2
Natality rate (‰) 15,5 12,4 11,8 10,8 10,7 10,2 9,4
Mortality rate (‰) 10,5 10,0 9,9 9,6 9,2 9,0 9,9
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023
  • Sources: Insee, RP1968 to 1999 counts, RP2009 to RP2020 main holdings - Civil status

POP T3 - Population by age and sex in 2020

POP T3 - Population by age and sex in 2020
Male % Female %
Altogether 153 233 100,0 165 172 100,0
0 to 14 years old 26 394 17,2 24 985 15,1
15 to 29 years old 26 179 17,1 24 791 15,0
30 to 44 years old 27 248 17,8 28 453 17,2
45 to 59 years old 32 208 21,0 33 872 20,5
60 to 74 years old 27 125 17,7 30 613 18,5
75 to 89 years old 12 694 8,3 18 578 11,2
90 years and over 1 384 0,9 3 882 2,3
0 to 19 years old 36 474 23,8 34 254 20,7
20 to 64 years old 85 534 55,8 88 718 53,7
65 and over 31 225 20,4 42 201 25,5
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2014 % 2020 %
People one year old and over, previously living: 312 758 100,0 315 215 100,0
In the same house 273 162 87,3 276 972 87,9
In another house in the same town 12 012 3,8 11 387 3,6
In another town 27 583 8,8 26 856 8,5
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 31,8 68,2
15 to 24 years old 29,4 70,6
25 to 54 years old 29,1 70,9
55 years old and over 29,9 70,1
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2009 % 2014 % 2020 %
Altogether 259 065 100,0 262 687 100,0 267 288 100,0
Farmer operators 3 911 1,5 3 439 1,3 2 949 1,1
Craftsmen, traders, business leaders 8 599 3,3 9 147 3,5 9 695 3,6
Managers and higher intellectual professions 19 303 7,5 21 296 8,1 22 481 8,4
Middle-level occupations 36 931 14,3 38 490 14,7 39 910 14,9
Services employee 42 496 16,4 42 583 16,2 41 849 15,7
Blue-collar workers 31 088 12,0 30 273 11,5 28 261 10,6
Retirees 73 441 28,3 77 765 29,6 80 156 30,0
Other people with no professional activity 43 296 16,7 39 694 15,1 41 985 15,7
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 127 242 140 046 100,0 100,0 100,0
Farmer operators 2 165 784 0,3 1,4 1,1
Craftsmen, traders, business leaders 6 605 3 090 0,7 5,8 2,4
Managers and higher intellectual professions 13 149 9 332 1,4 14,8 4,2
Middle-level occupations 18 422 21 488 7,8 26,6 5,6
Services employee 9 916 31 934 13,2 25,4 6,8
Blue-collar workers 23 345 4 916 12,0 17,1 3,7
Retirees 36 704 43 453 0,0 0,2 68,6
Other people without professional activity 16 937 25 048 64,5 8,6 7,7
  • Source: Insee, RP2020 additional operation, geography as of 01/01/2023.

Couples – Family – Households in 2020

Employment area 2020 of Pau (7522)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2009 % 2014 % 2020 % 2009 2014 2020
Ensemble 136 802 100,0 142 358 100,0 149 403 100,0 304 165 307 538 310 029
One-person households (male and female) 46 726 34,2 51 286 36,0 58 743 39,3 46 726 51 286 58 743
 Single Male 19 542 14,3 21 632 15,2 25 202 16,9 19 542 21 632 25 202
 Single Female 27 185 19,9 29 654 20,8 33 541 22,4 27 185 29 654 33 541
Other households without families 3 422 2,5 3 524 2,5 2 490 1,7 7 855 8 244 5 596
Family households : 86 653 63,3 87 547 61,5 88 170 59,0 249 583 248 007 245 690
 Couple without children 38 682 28,3 39 634 27,8 40 418 27,1 79 779 81 545 82 460
 Couple with children 36 894 27,0 35 511 24,9 34 331 23,0 141 331 134 806 129 555
 Single parent 11 076 8,1 12 402 8,7 13 421 9,0 28 473 31 656 33 675
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Average number of occupants per main residence 3,41 3,12 2,84 2,62 2,39 2,22 2,16 2,08
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 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 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 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
en % 2009 2014 2020
15 to 19 years old 6,5 7,1 10,2
20 to 24 years old 26,2 25,6 28,8
25 to 39 years old 15,3 15,8 17,5
40 to 54 years old 12,7 14,2 16,0
55 to 64 years old 18,2 20,8 23,1
65 to 79 years old 25,0 25,3 28,7
80 and above 43,4 45,4 46,1
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G3 - Proportion of couple families aged 15 years or over

FAM G3 - Proportion of couple families aged 15 years or over
en % 2009 2014 2020
15 to 19 years old 2,3 1,8 1,7
20 to 24 years old 23,7 23,1 22,0
25 to 39 years old 68,0 67,6 67,0
40 to 54 years old 73,6 71,2 70,3
55 to 64 years old 74,4 71,6 69,3
65 to 79 years old 67,7 68,5 67,0
80 and above 37,2 37,7 40,7
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G3 - Proportion of couple families aged 15 years or over

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

FAM G4 - Marital status of the population aged 15 years or over in 2020
%
Married 42,4
Civil partnership 6,5
In cohabitation 9,8
Widowed 7,5
Divorced 7,2
Single 26,4
  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM T2 - Households by socio-economic classification of the reference person in 2020

FAM T2 - Households by socio-economic classification of the reference person in 2020
Number of households % Household population %
Ensemble 149 403 100,0 310 029 100,0
Farmer operators 2 035 1,4 5 194 1,7
Craftsmen, traders, business leaders 6 684 4,5 17 435 5,6
Managers and higher intellectual professions 15 130 10,1 38 387 12,4
Intermediate professions 24 498 16,4 58 835 19,0
Employees 24 576 16,4 56 337 18,2
Workers 18 633 12,5 45 842 14,8
Retirees 47 080 31,5 72 649 23,4
Other people without professional activity 10 766 7,2 15 349 5,0
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

FAM G5 - Households by socio-economic classification of the reference person in 2020
%
Farmer operators 1,4
Handicrafters, traders, business leaders 4,5
Managers and higher intellectual professions 10,1
Intermediate professions 16,4
Employees 16,4
Workers 12,5
Retirees 31,5
Unemployed persons 7,2
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM T3 - Families composition

FAM T3 - Families composition
2009 % 2014 % 2020 %
Ensemble 87 447 100,0 88 287 100,0 88 774 100,0
Couple with children 36 991 42,3 35 638 40,4 34 390 38,7
Single parent 11 356 13,0 12 682 14,4 13 686 15,4
 Male single parent 1 907 2,2 2 518 2,9 2 743 3,1
 Female single parent 9 448 10,8 10 164 11,5 10 943 12,3
Couple without children 39 100 44,7 39 967 45,3 40 698 45,8
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2009 % 2014 % 2020 %
Ensemble 87 447 100,0 88 287 100,0 88 774 100,0
Without any 44 585 51,0 45 929 52,0 46 683 52,6
1 child 18 429 21,1 18 675 21,2 19 199 21,6
2 children 18 195 20,8 17 719 20,1 17 272 19,5
3 children 5 009 5,7 4 782 5,4 4 353 4,9
4 children or above 1 228 1,4 1 182 1,3 1 266 1,4
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

Housing in 2020

Employment area 2020 of Pau (7522)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Altogether 75 977 89 533 103 380 117 418 131 911 152 944 163 606 173 370
Main residences 68 060 79 886 92 245 103 400 117 682 136 790 142 368 149 473
Second homes 2 481 3 017 4 009 5 470 4 640 4 088 4 685 5 522
Vacant dwellings 5 436 6 630 7 126 8 548 9 589 12 066 16 553 18 374
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2009 % 2014 % 2020 %
Altogether 152 944 100,0 163 606 100,0 173 370 100,0
Main residences 136 790 89,4 142 368 87,0 149 473 86,2
Second homes 4 088 2,7 4 685 2,9 5 522 3,2
Vacant dwellings 12 066 7,9 16 553 10,1 18 374 10,6
Houses 90 641 59,3 96 767 59,1 101 999 58,8
Flats 61 362 40,1 65 605 40,1 70 146 40,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2009 % 2014 % 2020 %
Altogether 136 790 100,0 142 368 100,0 149 473 100,0
1 room 7 131 5,2 7 062 5,0 7 133 4,8
2 rooms 13 008 9,5 14 047 9,9 14 971 10,0
3 rooms 22 183 16,2 24 242 17,0 25 580 17,1
4 rooms 31 540 23,1 33 016 23,2 35 022 23,4
5 rooms and over 62 928 46,0 64 001 45,0 66 767 44,7
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2009 2014 2020
All main residences 4,4 4,3 4,3
Houses 5,3 5,2 5,2
Flats 3,0 2,9 2,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2009 2014 2020
Over-occupied 2,1 1,9 1,7
Non-over-occupied 97,9 98,1 98,3
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T5 - Main residences in 2020 by completion period

LOG T5 - Main residences in 2020 by completion period
Number %
Principal residences build before 2018 147 284 100,0
before 1919 15 768 10,7
from 1919 to 1945 7 309 5,0
from 1946 to 1970 30 937 21,0
from 1971 to 1990 43 455 29,5
from 1991 to 2005 27 669 18,8
from 2006 to 2017 22 146 15,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

LOG G1 - Main residences in 2020 by completion period and housing category
House Flat
before 1919 12 039 3 668
from 1919 to 1945 4 841 2 443
from 1946 to 1970 14 928 15 881
from 1971 to 1990 26 732 16 563
from 1991 to 2005 17 745 9 726
from 2006 to 2017 14 141 7 735
  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T6 - Main residence tenure in 2020

LOG T6 - Main residence tenure in 2020
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 149 473 100,0 310 354 4,3 2,1
Less than 2 years 20 435 13,7 39 053 3,3 1,7
From 2 to 4 years 29 501 19,7 62 933 3,7 1,7
From 5 to 9 years 23 733 15,9 55 772 4,1 1,8
10 years and over 75 804 50,7 152 595 4,9 2,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

LOG G2 - Households by main residence tenure in 2020
Share of households in%
Less than 2 years 13,7
From 2 to 4 years 19,7
From 5 to 9 years 15,9
From 10 to 19 years 18,6
From 20 to 29 years 11,2
30 years and over 20,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2009 2014 2020
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 136 790 100,0 142 368 100,0 149 473 100,0 310 354 16,5
Homeowner 84 040 61,4 88 336 62,0 93 974 62,9 208 705 21,9
Tenant 49 746 36,4 51 236 36,0 52 731 35,3 96 499 7,1
(including social sector housing) 13 968 10,2 15 740 11,1 15 609 10,4 31 496 11,3
Housed for free 3 004 2,2 2 796 2,0 2 769 1,9 5 150 13,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2009 % 2014 % 2020 %
Altogether 136 790 100,0 142 368 100,0 149 473 100,0
Bathroom including a shower or a bath 134 126 98,1 139 140 97,7 145 353 97,2
Collective central heating 11 053 8,1 11 903 8,4 11 478 7,7
Individual central heating 70 548 51,6 67 520 47,4 73 686 49,3
Individual electric heating 34 783 25,4 39 811 28,0 43 348 29,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2009 % 2014 % 2020 %
Altogether 136 790 100,0 142 368 100,0 149 473 100,0
At least one parking spot 100 966 73,8 105 148 73,9 113 061 75,6
At least one car 119 284 87,2 124 369 87,4 131 221 87,8
1 car 61 977 45,3 63 626 44,7 68 574 45,9
2 cars and over 57 308 41,9 60 743 42,7 62 648 41,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

Education and training in 2020

Employment area 2020 of Pau (7522)

FOR T1 - Enrollment by age and sex in 2020

FOR T1 - Enrollment by age and sex in 2020
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 12 762 9 436 73,9 73,8 74,1
6 to 10 years old 17 851 17 422 97,6 97,7 97,5
11 to 14 years old 14 925 14 662 98,2 98,1 98,4
15 to 17 years old 11 685 11 205 95,9 95,2 96,6
18 to 24 years old 23 772 12 871 54,1 50,9 57,5
25 to 29 years old 15 513 1 414 9,1 8,8 9,4
30 years old and over 216 057 2 090 1,0 0,9 1,1
  • Source: Insee, RP2020 principal exploitation, geography at the 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2009 2014 2020
2 to 5 years old 76,4 75,5 73,9
6 to 10 years old 99,0 98,7 97,6
11 to 14 years old 99,4 99,1 98,2
15 to 17 years old 97,0 97,1 95,9
18 to 24 years old 56,7 55,3 54,1
25 to 29 years old 7,4 8,2 9,1
30 years old and over 0,9 0,8 1,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Altogether Male Female
Proportion of unschooled aged 15 years or above 239 447 113 240 126 206
Proportion of graduates in percentage
No diploma or primary education certificate 16,5 14,6 18,2
BEPC brevet des collèges or DNB 5,0 4,2 5,8
CAP, BEP or equivalent 27,2 31,3 23,4
Baccalauréat, brevet professionnel or equivalent 18,3 17,9 18,6
2 years at university 12,6 12,3 12,9
3 to 4 years at university 9,9 7,8 11,7
5 years and over at university 10,5 11,8 9,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 %)
2009 2020
No diploma or primary education certificate 23,6 16,5
BEPC brevet des collèges or DNB 6,0 5,0
CAP, BEP or equivalent 27,3 27,2
Baccalauréat, brevet professionnel or equivalent 17,2 18,3
2 years and over at university 25,9 33,0
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

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 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

Labor force, employment and unemployment within the sense of the census in 2020

Employment area 2020 of Pau (7522)

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

EMP T1 - Population aged 15 to 64 by economic activity status
2009 2014 2020
Altogether 199 531 197 164 193 601
Labor force in % 71,0 73,4 74,6
 including people in work in % 64,1 64,6 66,1
 including unemployed workers in % 6,9 8,8 8,5
Economically inactive people in % 29,0 26,6 25,4
 including pupils, students or interns in % 11,4 10,8 10,8
 including retirees in % 9,2 8,1 6,7
 including other economically inactive people in % 8,4 7,7 7,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 193 601 144 459 74,6 127 975 66,1
 15 to 24 years old 35 457 13 516 38,1 10 208 28,8
 25 to 54 years old 115 170 105 521 91,6 94 690 82,2
 55 to 64 years old 42 973 25 422 59,2 23 077 53,7
Male 95 614 73 469 76,8 65 708 68,7
 15 to 24 years old 18 344 7 612 41,5 5 703 31,1
 25 to 54 years old 56 463 53 265 94,3 48 486 85,9
 55 to 64 years old 20 806 12 592 60,5 11 519 55,4
Female 97 987 70 990 72,4 62 267 63,5
 15 to 24 years old 17 113 5 904 34,5 4 505 26,3
 25 to 54 years old 58 707 52 256 89,0 46 204 78,7
 55 to 64 years old 22 167 12 830 57,9 11 557 52,1
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 66,1
Unemployed workers 8,5
Retirees 6,7
Pupils, students or interns 10,8
Other economically inactive people 7,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2009 including people in work 2014 including people in work 2020 including people in work
Altogether 141 733 127 967 144 892 127 333 144 425 127 765
including
 Farmer operators 3 716 3 685 3 225 3 205 2 680 2 654
 Handicrafters, traders and business leaders 8 348 7 915 8 830 8 282 9 227 8 758
 Managers and higher intellectual professions 19 112 18 471 20 915 20 109 21 979 21 066
 Middle-level occupations 36 634 34 032 38 193 35 047 39 662 36 533
 Services employee 42 133 37 079 42 236 35 990 41 278 35 253
 Blue-collar workers 30 864 26 785 30 071 24 700 28 011 23 501
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2009 2014 2020
Number of unemployed workers 13 678 17 295 16 485
Unemployment rate in % 9,7 12,0 11,4
Unemployment of the 15-24 aged 21,7 26,7 24,5
Unemployment of the 25-54 aged 8,5 10,6 10,3
Unemployment of the 55-64 aged 7,0 9,4 9,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 23,5
BEPC brevet des collèges or DNB 17,9
CAP, BEP or equivalent 12,9
Baccalauréat, brevet professionnel or equivalent 12,7
2 years at university 7,9
3 to 4 years at university 7,7
5 years and over at university 6,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2009 2014 2020
Number of jobs in the area 130 358 129 956 130 587
People in work living in the area 129 413 129 009 130 053
Employment concentration indicator 100,7 100,7 100,4
Activity rate of 15 years old and over in % 55,2 55,7 54,9
  • 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, RP2009, RP2014 and RP2020, main holdings, place of residence and place of work, geography as of 01/01/2023.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2009 % 2014 % 2020 %
Altogether 130 358 100,0 129 956 100,0 130 587 100,0
Employee 112 675 86,4 111 764 86,0 111 691 85,5
 including women 55 125 42,3 55 340 42,6 56 343 43,1
 including part-time workers 22 057 16,9 21 733 16,7 20 618 15,8
Non-employee 17 684 13,6 18 192 14,0 18 896 14,5
 including women 6 134 4,7 6 508 5,0 7 313 5,6
 including part-time workers 1 861 1,4 2 330 1,8 2 763 2,1
  • Sources: Insee, RP2009, RP2014 and RP2020, main workplaces, geography as of 01/01/2023.

EMP T7 - Employment by socioprofessional activity in 2020

EMP T7 - Employment by socioprofessional activity in 2020
Number %
Altogether 131 326 100,0
Farmer operators 2 926 2,2
Handicrafters, traders, business leaders 9 252 7,0
Managers and higher intellectual professions 21 187 16,1
Middle-level occupations 37 288 28,4
Services employee 36 322 27,7
Blue-collar workers 24 352 18,5
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2009 2014 2020
Farmer operators 3,0 2,6 2,2
Handicrafters, traders, business leaders 6,1 6,7 7,0
Managers and higher intellectual professions 14,2 15,3 16,1
Middle-level occupations 26,4 27,4 28,4
Services employee 29,1 28,3 27,7
Blue-collar workers 21,3 19,6 18,5
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2009 2014 2020
Number % Number % Number % including women in % including employees %
Altogether 130 655 100,0 130 483 100,0 131 326 100,0 48,9 86,8
Agriculture 5 069 3,9 4 432 3,4 4 053 3,1 29,9 30,9
Industry 18 996 14,5 17 871 13,7 16 644 12,7 27,9 93,9
Construction 9 727 7,4 9 553 7,3 9 174 7,0 9,7 76,6
Wholesale and retail trade/transports/accommodations and food service activities 54 140 41,4 53 154 40,7 55 509 42,3 46,7 85,1
Public administration/education/healthcare/social work 42 723 32,7 45 473 34,8 45 946 35,0 68,7 93,2
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020
Employees Non-employees
Agriculture 36,8 26,8
Industry 27,7 30,6
Construction 11,3 4,3
Wholesale and retail trade, transports, accommodations and food service activities 48,0 39,7
Public administration, education, healthcare, social work 69,2 62,0
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

Employment characteristics within the sense of the census in 2020

Employment area 2020 of Pau (7522)

ACT T1 - People in work aged 15 years and over by status in 2020

ACT T1 - People in work aged 15 years and over by status in 2020
Number % of which % part-time of which % women
Altogether 130 030 100,0 17,8 48,6
Employees 111 221 85,5 18,4 50,3
Non-employees 18 808 14,5 14,6 38,7
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020
Male % Female %
Altogether 66 818 100 63 212 100
Employees 55 286 82,7 55 935 88,5
 Tenured personnel and open-ended employment contracts 47 214 70,7 47 164 74,6
 Fixed-term contracts 4 271 6,4 6 633 10,5
 Temporary employment 1 673 2,5 503 0,8
 Assisted jobs 286 0,4 531 0,8
 Apprenticeship contracts - Traineeship 1 843 2,8 1 105 1,7
Non-employees 11 532 17,3 7 277 11,5
 Self-employed 6 335 9,5 5 095 8,1
 Employers 5 118 7,7 2 040 3,2
 Caregivers 79 0,1 142 0,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020
Male of which % part-time Female of which % part-time
Altogether 54 784 7,6 55 312 28,4
15 to 24 years old 5 380 21,1 4 326 39,4
25 to 54 years old 40 729 5,4 41 045 26,4
55 to 64 years old 8 675 9,4 9 941 31,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %
2009 2014 2020
Male 6,7 7,5 7,9
Female 33,0 31,5 28,7
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT T4 - Working place of people in work aged 15 years and over living in the area

ACT T4 - Working place of people in work aged 15 years and over living in the area
2009 % 2014 % 2020 %
Altogether 129 378 100 128 985 100 130 030 100
working:
in the same municipality they live in 42 173 32,6 40 945 31,7 38 670 29,7
in a different municipality 87 205 67,4 88 040 68,3 91 359 70,3
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

ACT G2 - Usual method of travel to work in 2020
in %
No travel 4,2
Walk 4,2
Bicycle 2,4
Motorized two-wheel vehicle 1,3
Car or truck 84,3
Public transportation 3,7
  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

Births and Deaths of people with usual residence in the area, 2014-2022

Employment area 2020 of Pau (7522)

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 2022
Domiciled deaths 2 987 3 036 3 121 3 249 3 181 3 263 3 364 3 230 3 388
Domiciled births 3 229 3 070 2 973 2 941 2 828 2 886 2 940 2 854 2 822
  • Source: Insee, civil status statistics in geography as of 01/01/2023.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2023.

Household income and poverty in 2021

Employment area 2020 of Pau (7522)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
2021
Number of tax households 144 989
Number of people in tax households 310 469
Median disposable income (per consumption unit in euros) 23 420
Share of actually taxed tax households (in %) 52,6
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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 %
Altogether 12,8
Less than 30 years old 25,1
30 to 39 years old 14,5
40 to 49 years old 13,6
50 to 59 years old 12,0
60 to 74 years old 9,4
75 and over 10,5
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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 %
Altogether 12,8
Homeowner 5,8
Tenant 28,0
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
share in %
Altogether 100,0
Work income 69,2
including wages 61,4
including unemployment pensions 2,7
including self-employed income 5,1
Retirement pension or annuity 32,3
Capital income (real estate, financial, others) 8,9
Social benefits 5,3
including child benefit 1,6
including income support 2,6
including housing benefit 1,1
Tax –15,7
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
2021
Median disposable income (per consumption unit in euros) 23 420
Inter-decile ratio 3,1
1st decile (in euros) 12 820
9th decile (in euros) 39 870
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

Salaries and earned income in 2021

Employment area 2020 of Pau (7522)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021
Altogether Female Male
Altogether 15,8 13,8 17,2
Managerial staff* * 27,6 23,2 29,7
Intermediate professions* 16,1 14,6 17,3
Employees* 11,5 11,3 12,0
Workers* 12,0 10,2 12,4
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021
Difference (in%)
Altogether –20,0
Managerial staff* * –22,0
Intermediate professions* –15,5
Employees* –5,6
Workers* –17,5
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL T1 - Net average hourly wage (in euros) by age in 2021

SAL T1 - Net average hourly wage (in euros) by age in 2021
Altogether Female Male
15 to 25 years old 10,6 10,4 10,8
26 to 50 years old 15,4 13,8 16,6
50 years old or above 18,4 14,9 20,9
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021
Gender pay gap (in%)
15 to 25 years old –4,1
26 to 50 years old –16,9
50 years old or above –28,6
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

Characteristics of establishments at the end of 2021

Employment area 2020 of Pau (7522)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2021

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2021
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 11 179 100,0 769 8 390 971 666 383
Agriculture, forestry and fishing 476 4,3 85 370 15 5 1
Industrial economy 845 7,6 22 549 128 94 52
Building industry 1 206 10,8 104 921 103 54 24
Trade, transport, various services 6 909 61,8 496 5 413 541 322 137
including trade and car repair 2 088 18,7 110 1 662 187 96 33
Administration publique, enseignement, santé, action sociale 1 743 15,6 62 1 137 184 191 169
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2021

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2021
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 116 386 100,0 25 310 12 976 20 105 16 457 41 538
Agriculture, forestry and fishing 1 123 1,0 729 188 145 61 0
Industrial economy 15 608 13,4 2 067 1 691 2 877 2 057 6 916
Building industry 7 723 6,6 2 627 1 405 1 580 1 196 915
Trade, transport, various services 51 271 44,1 16 232 7 186 9 371 5 149 13 333
including trade and car repair 14 803 12,7 5 646 2 473 2 700 1 148 2 836
Administration publique, enseignement, santé, action sociale 40 661 34,9 3 655 2 506 6 132 7 994 20 374
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021
%
General government, education, healthcare, social action* 15,6
Trade, transport, various services* 61,8
Building industry* 10,8
Industrial economy* 7,6
Agriculture, forestry and fishing* 4,3
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G2 - Distribution of active employer establishments by size at the end of 2021

RES G2 - Distribution of active employer establishments by size at the end of 2021
%
50 or more employees 3,4
20 to 49 employees 6,0
10 to 19 employees 8,7
1 to 9 employee(s) 75,1
0 employee 6,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G2 - Distribution of active employer establishments by size at the end of 2021

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2021

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2021
Establishments Salaried positions
Number % Number %
Altogether 11 179 100,0 116 386 100,0
Productive sphere* 3 559 31,8 40 260 34,6
of which public domain* 7 0,1 809 0,7
Presential sphere 7 620 68,2 76 126 65,4
of which public domain* 841 7,5 25 754 22,1
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2021

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2021
Establishments Salaried positions
Number % Number %
Altogether 11 179 100,0 116 386 100,0
Agriculture, forestry and fishing 476 4,3 1 123 1,0
Manufacture of food, drink and tobacco products 242 2,2 3 272 2,8
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 48 0,4 738 0,6
Manufacture of transport equipment 10 0,1 2 810 2,4
Manufacture of other industrial products 427 3,8 6 906 5,9
Extractive industries, energy, water, waste management and pollution control 118 1,1 1 882 1,6
Building industry 1 206 10,8 7 723 6,6
Trade ; repair of automobiles and motorcycles 2 088 18,7 14 803 12,7
Transportation and warehousing 296 2,6 5 195 4,5
Accommodation and catering 804 7,2 4 185 3,6
Information and communication 192 1,7 2 247 1,9
Financial and insurance activities 510 4,6 3 476 3,0
Real estate activities 252 2,3 1 082 0,9
Scientific and technical activities; administrative and support services 1 661 14,9 16 202 13,9
General government, education, human healthcare and social action 1 743 15,6 40 661 34,9
Other service activities 1 106 9,9 4 081 3,5
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES in geography as of 01/01/2023.

RES T5 - Individual employers at the end of 2021

RES T5 - Individual employers at the end of 2021
Individual employers
Number %
Altogether 21 763 100,0
Employers of childminders 5 804 26,7
Employers of other employees 15 959 73,3
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

Business and establishment set-ups in 2022

Employment area 2020 of Pau (7522)

DEN T1 - Business set-ups by sector of activity in 2022

DEN T1 - Business set-ups by sector of activity in 2022
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 4 391 100,0 3 511 80,0
Industry 386 8,8 320 82,9
Construction 389 8,9 272 69,9
Wholesale and retail trade/transports/accommodations and food service activities 957 21,8 772 80,7
Information/communication 183 4,2 155 84,7
Finance and insurance activities 130 3,0 24 18,5
Real estate activities 230 5,2 137 59,6
Professional/scientific/technical activites/administrative and support service activities 992 22,6 786 79,2
Public administration/education/healthcare/social work 493 11,2 457 92,7
Other service activities 631 14,4 588 93,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2023.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Altogether 2 409 2 414 2 478 2 393 2 535 3 084 3 650 3 596 4 242 4 391
Sole proprietorship 1 831 1 825 1 868 1 766 1 889 2 487 2 943 2 920 3 411 3 511
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN T4 - Business set-ups by economic sectors in 2022

DEN T4 - Business set-ups by economic sectors in 2022
Altogether %
Altogether 4 919 100,0
Industry 530 10,8
Construction 399 8,1
Wholesale and retail trade/transports/accommodations and food service activities 1 091 22,2
Information/communication 190 3,9
Finance and insurance activities 139 2,8
Real estate activities 259 5,3
Professional/scientific/technical activites/administrative and support service activities 1 084 22,0
Public administration/education/healthcare/social work 557 11,3
Other service activities by the number of business creations including free lancers 670 13,6
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Créations d'établissements 2 615 2 680 2 724 2 748 2 856 3 412 3 955 3 973 4 749 4 919
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

Number of enterprises and establishments in 2021

Employment area 2020 of Pau (7522)

DEN T3 - Number of enterprises by economic sector on the 31st of December 2020

DEN T3 - Number of enterprises by economic sector on the 31st of December 2020
Number %
Altogether 24 236 100,0
Industry 1 718 7,1
Construction 3 177 13,1
Wholesale and retail trade/transports/accommodations and food service activities 5 949 24,5
Information/communication 593 2,4
Finance and insurance activities 1 023 4,2
Real estate activities 1 226 5,1
Professional/scientific/technical activites/administrative and support service activities 3 980 16,4
Public administration/education/human health/social work 4 103 16,9
Other service activities 2 467 10,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T5 - Number of establishments by economic sector on the 31st of December 2020

DEN T5 - Number of establishments by economic sector on the 31st of December 2020
Number %
Altogether 28 154 100,0
Industry 2 462 8,7
Construction 3 353 11,9
Wholesale and retail trade/transports/accommodations and food service activities 7 338 26,1
Information/communication 685 2,4
Finance and insurance activities 1 322 4,7
Real estate activities 1 456 5,2
Professional/scientific/technical activites/administrative and support service activities 4 506 16,0
Public administration/education/human health/social work 4 461 15,8
Other service activities 2 571 9,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2024

Employment area 2020 of Pau (7522)

TOU T1 - Number and capacity of hotels on the 1st of January 2024

TOU T1 - Number and capacity of hotels on the 1st of January 2024
Number of stars Hotels Rooms
Altogether 59 2 086
1 star 1 62
2 stars 17 551
3 stars 21 772
4 stars 6 396
5 stars 2 105
Non-ranked 12 200
  • Source: Insee, territorial partners in geography as of 01/01/2023.

TOU T2 - Number and capacity of campsites on the 1st of January 2024

TOU T2 - Number and capacity of campsites on the 1st of January 2024
Number of stars Campsites Pitches
Altogether 11 663
1 star 1 20
2 stars 2 127
3 stars 6 463
4 stars 0 0
5 stars 0 0
Non-ranked 2 53
  • Source: Insee, territorial partners in geography as of 01/01/2023.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024
Type of accomodation Accommodation Number of bed places (1)
Altogether 8 1 292
Tourist accommodations 7 1 270
Holiday villages or private homes 0 0
Youth hostels or sports center 1 22
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2023.

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 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

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.

Business Demography Information System (SIDE)

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

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

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

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units of all non-agricultural market activities. This scope 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.

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 2009, 2014, 2020: dissemination in the municipalities of France outside Mayotte in geography on 2023;

Vital statistics: distribution to all municipalities in France in geography as of 2023;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2023;

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 01/01/2023;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2023;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2023;

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 01/01/2023

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.