données locales

Paru le : 21/02/2023

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

Detailed figures
Paru le : Paru le 21/02/2023
- February 2023

Growth and structure of the population in 2019

Employment area 2020 of Pau (7522)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 312 091 100,0 314 492 100,0 317 288 100,0
0 to 14 years old 53 415 17,1 52 868 16,8 51 290 16,2
15 to 29 years old 55 729 17,9 52 932 16,8 51 480 16,2
30 to 44 years old 61 270 19,6 58 111 18,5 55 362 17,4
45 to 59 years old 64 958 20,8 65 702 20,9 66 319 20,9
60 to 74 years old 45 506 14,6 50 414 16,0 56 767 17,9
75 and over 31 212 10,0 34 464 11,0 36 071 11,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 17,1 16,8 16,2
15 to 29 years old 17,9 16,8 16,2
30 to 44 years old 19,6 18,5 17,4
45 to 59 years old 20,8 20,9 20,9
60 to 74 years old 14,6 16,0 17,9
75 and over 10,0 11,0 11,4
  • 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 239 566 256 499 269 194 279 283 288 634 312 091 314 492 317 288
Average density (inhab / km²) 87,8 94,1 98,7 102,4 105,8 114,4 115,3 116,3
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 1,0 0,7 0,5 0,4 0,9 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 0,0 0,2
Natality rate (‰) 15,5 12,4 11,8 10,8 10,7 10,3 9,6
Mortality rate (‰) 10,5 10,0 9,9 9,6 9,2 8,9 9,8
  • 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 152 529 100,0 164 759 100,0
0 to 14 years old 26 182 17,2 25 108 15,2
15 to 29 years old 26 388 17,3 25 092 15,2
30 to 44 years old 27 124 17,8 28 238 17,1
45 to 59 years old 32 309 21,2 34 009 20,6
60 to 74 years old 26 673 17,5 30 094 18,3
75 to 89 years old 12 514 8,2 18 395 11,2
90 years and over 1 338 0,9 3 823 2,3
0 to 19 years old 36 350 23,8 34 504 20,9
20 to 64 years old 85 626 56,1 88 784 53,9
65 and over 30 553 20,0 41 471 25,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 311 320 100,0 314 151 100,0
In the same house 272 256 87,5 275 422 87,7
In another house in the same town 11 742 3,8 11 757 3,7
In another town 27 322 8,8 26 971 8,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 33,0 67,0
15 to 24 years old 29,5 70,5
25 to 54 years old 29,9 70,1
55 years old and over 29,8 70,2
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 258 396 100,0 261 563 100,0 266 502 100,0
Farmer operators 4 032 1,6 3 444 1,3 3 155 1,2
Craftsmen, traders, business leaders 8 442 3,3 9 102 3,5 9 401 3,5
Managers and higher intellectual professions 18 998 7,4 20 926 8,0 22 039 8,3
Middle-level occupations 36 772 14,2 38 146 14,6 39 465 14,8
Services employee 42 234 16,3 42 575 16,3 42 166 15,8
Blue-collar workers 31 297 12,1 30 507 11,7 28 286 10,6
Retirees 72 673 28,1 76 888 29,4 80 028 30,0
Other people with no professional activity 43 949 17,0 39 976 15,3 41 963 15,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 126 759 139 743 100,0 100,0 100,0
Farmer operators 2 301 853 0,3 1,5 1,1
Craftsmen, traders, business leaders 6 462 2 939 0,6 5,7 2,2
Managers and higher intellectual professions 13 052 8 986 1,3 14,6 4,1
Middle-level occupations 18 208 21 257 8,0 26,3 5,5
Services employee 10 028 32 137 13,5 25,7 6,8
Blue-collar workers 23 348 4 938 11,7 17,3 3,7
Retirees 36 448 43 580 0,0 0,2 69,1
Other people without professional activity 16 911 25 052 64,6 8,7 7,4
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Employment area 2020 of Pau (7522)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 136 155 100,0 140 983 100,0 148 022 100,0 303 409 306 017 308 926
One-person households (male and female) 46 391 34,1 50 220 35,6 57 487 38,8 46 391 50 220 57 487
 Single Male 19 362 14,2 21 061 14,9 24 651 16,7 19 362 21 061 24 651
 Single Female 27 029 19,9 29 159 20,7 32 835 22,2 27 029 29 159 32 835
Other households without families 3 396 2,5 3 521 2,5 2 627 1,8 7 789 8 123 6 055
Family households: 86 367 63,4 87 242 61,9 87 908 59,4 249 229 247 674 245 384
 Couple with no children 38 205 28,1 39 540 28,0 40 391 27,3 78 847 81 452 82 555
 Couple with children 37 107 27,3 35 587 25,2 34 341 23,2 141 996 135 289 129 753
 Single parent 11 055 8,1 12 115 8,6 13 177 8,9 28 386 30 934 33 076
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 3,41 3,12 2,84 2,62 2,39 2,23 2,17 2,09
  • (*) 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 6,5 6,9 10,0
20 to 24 years old 26,4 25,9 28,4
25 to 39 years old 15,1 15,7 17,2
40 to 54 years old 12,5 13,9 15,8
55 to 64 years old 18,0 20,2 22,7
65 to 79 years old 25,2 25,1 28,2
80 and over 43,7 44,8 45,8
  • 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 2,4 2,0 1,8
20 to 24 years old 23,2 23,2 21,8
25 to 39 years old 68,0 67,8 66,8
40 to 54 years old 73,9 71,6 70,2
55 to 64 years old 74,8 72,1 69,8
65 to 79 years old 67,3 68,4 67,1
80 and over 36,8 37,4 40,3
  • 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 42,6
Civil partnership 6,2
In cohabitation 9,9
Widowed 7,6
Divorced 7,2
Single 26,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

FAM T2 - Households by socioprofessional classification of the reference person in 2019

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 148 022 100,0 308 926 100,0
Farmer operators 2 155 1,5 5 626 1,8
Craftsmen, traders, business leaders 6 504 4,4 17 007 5,5
Managers and higher intellectual professions 14 899 10,1 37 979 12,3
Middle-level occupations 24 142 16,3 57 924 18,8
Services employee 24 555 16,6 56 837 18,4
Blue-collar workers 18 696 12,6 46 362 15,0
Retirees 46 702 31,6 72 474 23,5
Other people with no professional activity 10 371 7,0 14 719 4,8
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 1,5
Handicrafters, traders, business leaders 4,4
Managers and higher intellectual professions 10,1
Middle-level occupations 16,3
Services employee 16,6
Blue-collar workers 12,6
Retirees 31,6
Unemployed persons 7,0
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

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

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 87 199 100,0 88 030 100,0 88 522 100,0
Couple with children 37 217 42,7 35 714 40,6 34 417 38,9
Single parent 11 334 13,0 12 409 14,1 13 444 15,2
Male single parent 1 879 2,2 2 466 2,8 2 676 3,0
Female single parent 9 456 10,8 9 943 11,3 10 768 12,2
Couple with no children 38 647 44,3 39 907 45,3 40 660 45,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM T4 - Families by number of children under 25 years old

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 87 199 100,0 88 030 100,0 88 522 100,0
No children 44 087 50,6 45 825 52,1 46 673 52,7
1 child 18 740 21,5 18 514 21,0 18 980 21,4
2 children 18 145 20,8 17 734 20,1 17 219 19,5
3 children 4 983 5,7 4 820 5,5 4 413 5,0
4 children and over 1 244 1,4 1 137 1,3 1 237 1,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

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 2008 2013 2019
Altogether 75 977 89 533 103 380 117 418 131 911 150 833 161 699 172 124
Main residences 68 060 79 886 92 245 103 400 117 682 136 149 140 981 148 077
Second homes 2 481 3 017 4 009 5 470 4 640 4 012 4 462 5 370
Vacant dwellings 5 436 6 630 7 126 8 548 9 589 10 672 16 256 18 677
  • (*) 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 150 833 100,0 161 699 100,0 172 124 100,0
Main residences 136 149 90,3 140 981 87,2 148 077 86,0
Second homes 4 012 2,7 4 462 2,8 5 370 3,1
Vacant dwellings 10 672 7,1 16 256 10,1 18 677 10,9
Houses 89 288 59,2 95 773 59,2 101 250 58,8
Flats 60 585 40,2 64 768 40,1 69 652 40,5
  • 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 136 149 100,0 140 981 100,0 148 077 100,0
1 room 7 180 5,3 7 086 5,0 7 138 4,8
2 rooms 12 920 9,5 13 787 9,8 15 024 10,1
3 rooms 22 565 16,6 23 467 16,6 25 373 17,1
4 rooms 31 418 23,1 32 955 23,4 34 430 23,3
5 rooms and over 62 067 45,6 63 686 45,2 66 111 44,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 4,4 4,3 4,3
Houses 5,3 5,2 5,2
Flats 3,0 3,0 2,9
  • 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 1,7
Non-over-occupied 98,3
  • 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 144 606 100,0
before 1919 15 665 10,8
from 1919 to 1945 7 411 5,1
from 1946 to 1970 31 077 21,5
from 1971 to 1990 43 524 30,1
from 1991 to 2005 27 314 18,9
from 2006 to 2015 19 615 13,6
  • 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 12 093 3 502
from 1919 to 1945 4 883 2 508
from 1946 to 1970 14 988 15 951
from 1971 to 1990 26 819 16 527
from 1991 to 2005 17 715 9 409
from 2006 to 2015 12 386 6 974
  • 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 148 077 100,0 309 150 4,3 2,1
Less than 2 years 20 436 13,8 39 124 3,3 1,7
From 2 to 4 years 29 062 19,6 62 115 3,6 1,7
From 5 to 9 years 23 355 15,8 55 633 4,1 1,7
10 years and over 75 224 50,8 152 278 4,9 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 13,8
From 2 to 4 years 19,6
From 5 to 9 years 15,8
From 10 to 19 years 18,7
From 20 to 29 years 11,0
30 years and over 21,1
  • 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 136 149 100,0 140 981 100,0 148 077 100,0 309 150 16,6
Homeowner 83 270 61,2 87 643 62,2 92 848 62,7 207 482 22,0
Tenant 49 796 36,6 50 564 35,9 52 448 35,4 96 438 7,1
(including social sector housing) 13 826 10,2 15 175 10,8 15 644 10,6 31 572 11,4
Housed for free 3 083 2,3 2 773 2,0 2 780 1,9 5 230 14,0
  • 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 136 149 100,0 140 981 100,0 148 077 100,0
Bathroom including a shower or a bath 133 543 98,1 138 007 97,9 144 178 97,4
Collective central heating 10 904 8,0 11 783 8,4 11 672 7,9
Individual central heating 71 878 52,8 66 656 47,3 72 651 49,1
Individual electric heating 33 656 24,7 39 165 27,8 42 696 28,8
  • 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 136 149 100,0 140 981 100,0 148 077 100,0
At least one parking spot 100 481 73,8 103 926 73,7 111 979 75,6
At least one car 118 487 87,0 123 170 87,4 129 970 87,8
1 car 61 827 45,4 63 003 44,7 67 892 45,8
2 cars and over 56 659 41,6 60 167 42,7 62 079 41,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Employment area 2020 of Pau (7522)

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 12 841 9 454 73,6 73,3 73,9
6 to 10 years old 17 806 17 438 97,9 98,0 97,9
11 to 14 years old 14 821 14 590 98,4 98,3 98,5
15 to 17 years old 11 814 11 389 96,4 95,9 97,0
18 to 24 years old 23 970 12 950 54,0 50,9 57,3
25 to 29 years old 15 696 1 375 8,8 8,5 9,0
30 years old and over 214 518 1 973 0,9 0,8 1,0
  • 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 76,7 76,2 73,6
6 to 10 years old 99,0 98,7 97,9
11 to 14 years old 99,3 99,2 98,4
15 to 17 years old 97,0 97,0 96,4
18 to 24 years old 56,6 55,7 54,0
25 to 29 years old 7,1 8,2 8,8
30 years old and over 0,8 0,9 0,9
  • 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 238 311 112 687 125 624
Proportion of graduates in percentage
No diploma or primary education certificate 16,8 14,9 18,5
BEPC brevet des collèges or DNB 5,1 4,2 6,0
CAP, BEP or equivalent 27,7 31,9 23,9
Baccalauréat, brevet professionnel or equivalent 18,1 17,7 18,4
2 years at university 12,6 12,2 12,9
3 to 4 years at university 9,6 7,6 11,4
5 years and over at university 10,2 11,4 9,0
  • 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 24,4 16,8
BEPC brevet des collèges or DNB 6,0 5,1
CAP, BEP or equivalent 27,1 27,7
Baccalauréat, brevet professionnel or equivalent 17,1 18,1
2 years and over at university 25,4 32,3
  • 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

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
2008 2013 2019
Altogether 199 346 197 409 193 974
Labor force in % 70,9 72,9 74,3
 including people in work in % 64,1 64,6 65,4
 including unemployed workers in % 6,8 8,3 8,9
Economically inactive people in % 29,1 27,1 25,7
 including pupils, students or interns in % 11,5 10,9 10,9
 including retirees in % 9,0 8,5 6,9
 including other economically inactive people in % 8,6 7,7 7,9
  • 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 193 974 144 197 74,3 126 913 65,4
 15 to 24 years old 35 783 13 596 38,0 10 034 28,0
 25 to 54 years old 115 386 105 700 91,6 94 317 81,7
 55 to 64 years old 42 804 24 901 58,2 22 562 52,7
Male 95 794 73 472 76,7 65 287 68,2
 15 to 24 years old 18 519 7 763 41,9 5 711 30,8
 25 to 54 years old 56 565 53 353 94,3 48 285 85,4
 55 to 64 years old 20 710 12 356 59,7 11 291 54,5
Female 98 180 70 725 72,0 61 627 62,8
 15 to 24 years old 17 264 5 833 33,8 4 324 25,0
 25 to 54 years old 58 821 52 346 89,0 46 032 78,3
 55 to 64 years old 22 095 12 545 56,8 11 271 51,0
  • 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 65,4
Unemployed workers 8,9
Retirees 6,9
Pupils, students or interns 10,9
Other economically inactive people 7,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 141 356 127 773 144 126 127 585 143 965 126 488
including
 Farmer operators 3 857 3 832 3 227 3 199 2 873 2 845
 Handicrafters, traders and business leaders 8 228 7 774 8 790 8 268 8 973 8 484
 Managers and higher intellectual professions 18 824 18 130 20 563 19 822 21 557 20 657
 Middle-level occupations 36 499 34 034 37 841 34 840 39 221 35 959
 Services employee 41 891 36 787 42 219 36 348 41 621 35 274
 Blue-collar workers 31 075 27 216 30 295 25 107 28 017 23 269
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 13 534 16 311 17 283
Unemployment rate in % 9,6 11,3 12,0
Unemployment of the 15-24 aged 20,9 25,9 26,2
Unemployment of the 25-54 aged 8,5 10,0 10,8
Unemployment of the 55-64 aged 6,7 8,6 9,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 24,2
BEPC brevet des collèges or DNB 18,7
CAP, BEP or equivalent 13,6
Baccalauréat, brevet professionnel or equivalent 13,4
2 years at university 8,3
3 to 4 years at university 7,8
5 years and over at university 7,2
  • 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 130 125 130 201 129 246
People in work living in the area 129 162 129 244 128 925
Employment concentration indicator 100,7 100,7 100,2
Activity rate of 15 years old and over in % 55,2 55,7 55,0
  • 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 130 125 100,0 130 201 100,0 129 246 100,0
Employee 112 493 86,4 112 080 86,1 110 666 85,6
 including women 54 606 42,0 55 416 42,6 55 719 43,1
 including part-time workers 22 250 17,1 21 671 16,6 21 166 16,4
Non-employee 17 632 13,6 18 121 13,9 18 580 14,4
 including women 6 078 4,7 6 410 4,9 7 114 5,5
 including part-time workers 1 815 1,4 2 241 1,7 2 669 2,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 129 695 100,0
Farmer operators 3 111 2,4
Handicrafters, traders, business leaders 8 954 6,9
Managers and higher intellectual professions 20 737 16,0
Middle-level occupations 36 693 28,3
Services employee 36 255 28,0
Blue-collar workers 23 945 18,5
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 3,1 2,6 2,4
Handicrafters, traders, business leaders 6,1 6,6 6,9
Managers and higher intellectual professions 13,9 15,0 16,0
Middle-level occupations 26,3 27,3 28,3
Services employee 29,0 28,6 28,0
Blue-collar workers 21,7 20,0 18,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 130 254 100,0 130 845 100,0 129 695 100,0 48,8 86,8
Agriculture 5 153 4,0 4 498 3,4 4 231 3,3 29,5 29,9
Industry 19 501 15,0 17 850 13,6 16 521 12,7 26,7 94,2
Construction 9 772 7,5 9 843 7,5 8 586 6,6 10,1 75,6
Wholesale and retail trade/transports/accommodations and food service activities 53 436 41,0 53 482 40,9 54 529 42,0 46,8 85,2
Public administration/education/healthcare/social work 42 392 32,5 45 172 34,5 45 828 35,3 68,2 93,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 35,3 27,0
Industry 26,7 26,0
Construction 11,7 4,9
Wholesale and retail trade, transports, accommodations and food service activities 48,1 39,5
Public administration, education, healthcare, social work 68,8 60,3
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

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

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

Characteristics of employment in the sense of the census in 2019

Employment area 2020 of Pau (7522)

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 128 896 100,0 18,3 48,5
Employees 110 315 85,6 19,0 50,3
Non-employees 18 582 14,4 14,4 38,2
  • 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 66 359 100 62 537 100
Employees 54 876 82,7 55 439 88,7
 Tenured personnel and open-ended employment contracts 46 910 70,7 46 669 74,6
 Fixed-term employment contracts 4 255 6,4 6 626 10,6
 Temporary employment 1 617 2,4 469 0,8
 Assisted jobs 316 0,5 680 1,1
 Apprentice ship contract - Traineeship 1 778 2,7 995 1,6
Non-employees 11 484 17,3 7 098 11,3
 Independents 6 239 9,4 4 905 7,8
 Employers 5 169 7,8 2 042 3,3
 Caregivers 75 0,1 151 0,2
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 54 402 7,6 54 838 29,7
15 to 24 years old 5 410 21,9 4 144 41,0
25 to 54 years old 40 568 5,3 41 018 27,7
55 to 64 years old 8 423 9,6 9 677 33,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 6,9 7,2 7,9
Female 33,3 31,8 30,0
  • 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 129 121 100 129 226 100 128 896 100
working :
in their residential zone 42 711 33,1 40 867 31,6 38 808 30,1
in another zone 86 410 66,9 88 359 68,4 90 088 69,9
  • 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 4,3
Walking 4,2
Bicycle 2,2
Motorized two-wheeled vehicles 1,3
Car or truck 84,3
Public transports 3,8
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

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
Domiciled deaths 2 987 3 036 3 121 3 249 3 181 3 263 3 364 3 230
Domiciled births 3 229 3 070 2 973 2 941 2 828 2 886 2 940 2 854
  • 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

Employment area 2020 of Pau (7522)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 143 718
Number of people in tax households 310 197
Median disposable income (per consumption unit in euros) 22 750
Share of actually taxed tax households (in %) 50,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 12,3
Less than 30 years old 24,5
30 to 39 years old 14,1
40 to 49 years old 13,0
50 to 59 years old 12,1
60 to 74 years old 8,5
75 and over 9,6
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

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

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 12,3
Homeowner 5,9
Tenant 25,8
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

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

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

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 67,9
including wages 60,5
including unemployment pensions 2,8
including self-employed income 4,6
Retirement pension or annuity 32,5
Capital income (real estate, financial, others) 9,2
Social benefits 5,8
including child benefit 1,8
including income support 2,8
including housing benefit 1,2
Tax –15,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 22 750
Inter-decile ratio 3,1
1st decile (in euros) 12 640
9th decile (in euros) 38 930
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

Employment area 2020 of Pau (7522)

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

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 15,9 13,8 17,3
Managerial staff* 27,8 23,4 29,9
Middle-level occupations 16,2 14,7 17,3
Services employee 11,5 11,3 11,9
Blue-collar workers 12,0 10,2 12,3
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –20,4
Managerial staff* –21,7
Middle-level occupations –15,1
Services employee –5,5
Blue-collar workers –17,5
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL T1 - Average net hourly wage (in euros) by age in 2020

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 10,6 10,2 10,9
26 to 50 years old 15,4 13,7 16,5
50 years old or over 18,6 15,1 21,1
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –5,9
26 to 50 years old –17,0
50 years old and over –28,7
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

Characteristics of establishments at the end of 2020

Employment area 2020 of Pau (7522)

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

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 10 876 100,0 786 8 129 949 629 383
Agriculture, forestry and fishing 434 4,0 67 351 10 5 1
Industrial economy 838 7,7 32 537 127 85 57
Building industry 1 126 10,4 85 872 94 52 23
Trade, transport, various services 6 731 61,9 533 5 239 528 300 131
including trade and car repair 2 040 18,8 132 1 594 193 91 30
Administration publique, enseignement, santé, action sociale 1 747 16,1 69 1 130 190 187 171
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 114 157 100,0 24 572 12 633 19 084 17 045 40 823
Agriculture, forestry and fishing 1 025 0,9 700 128 138 59 0
Industrial economy 15 679 13,7 2 031 1 704 2 637 2 407 6 900
Building industry 7 444 6,5 2 549 1 302 1 523 1 028 1 042
Trade, transport, various services 49 253 43,1 15 568 6 947 8 807 5 503 12 428
including trade and car repair 14 411 12,6 5 443 2 509 2 588 1 084 2 787
Administration publique, enseignement, santé, action sociale 40 756 35,7 3 724 2 552 5 979 8 048 20 453
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 16,1
Trade, transport, various services* 61,9
Building industry* 10,4
Industrial economy* 7,7
Agriculture, forestry and fishing* 4,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 3,5
20 to 49 employees 5,8
10 to 19 employees 8,7
1 to 9 employee(s) 74,7
0 employee 7,2
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 10 876 100,0 114 157 100,0
Productive sphere* 3 406 31,3 39 206 34,3
of which public domain* 4 0,0 730 0,6
Presential sphere 7 470 68,7 74 951 65,7
of which public domain* 858 7,9 26 379 23,1
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 10 876 100,0 114 157 100,0
Agriculture, forestry and fishing 434 4,0 1 025 0,9
Manufacture of food, drink and tobacco products 240 2,2 3 169 2,8
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 49 0,5 777 0,7
Manufacture of transport equipment 8 0,1 2 900 2,5
Manufacture of other industrial products 421 3,9 6 890 6,0
Extractive industries, energy, water, waste management and pollution control 120 1,1 1 943 1,7
Building industry 1 126 10,4 7 444 6,5
Trade ; repair of automobiles and motorcycles 2 040 18,8 14 411 12,6
Transportation and warehousing 299 2,7 5 080 4,5
Accommodation and catering 763 7,0 3 819 3,3
Information and communication 171 1,6 2 045 1,8
Financial and insurance activities 512 4,7 3 491 3,1
Real estate activities 241 2,2 1 005 0,9
Scientific and technical activities; administrative and support services 1 621 14,9 15 520 13,6
General government, education, human healthcare and social action 1 747 16,1 40 756 35,7
Other service activities 1 084 10,0 3 882 3,4
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 21 588 100,0
Employers of childminders 5 684 26,3
Employers of other employees 15 904 73,7
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

Employment area 2020 of Pau (7522)

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 4 027 100,0 3 197 79,4
Industry 245 6,1 198 80,8
Construction 364 9,0 254 69,8
Wholesale and retail trade/transports/accommodations and food service activities 1 069 26,5 840 78,6
Information/communication 154 3,8 129 83,8
Finance and insurance activities 112 2,8 15 13,4
Real estate activities 225 5,6 139 61,8
Professional/scientific/technical activites/administrative and support service activities 859 21,3 678 78,9
Public administration/education/healthcare/social work 462 11,5 438 94,8
Other service activities 537 13,3 506 94,2
  • 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 2 211 2 217 2 162 2 282 2 101 2 223 2 776 3 291 3 220 4 027
Sole proprietorship 1 690 1 672 1 600 1 684 1 501 1 578 2 180 2 594 2 551 3 197
  • 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 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 T4 - Business set-ups by economic sectors in 2021

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 4 601 100,0
Industry 379 8,2
Construction 398 8,7
Wholesale and retail trade/transports/accommodations and food service activities 1 229 26,7
Information/communication 170 3,7
Finance and insurance activities 121 2,6
Real estate activities 258 5,6
Professional/scientific/technical activites/administrative and support service activities 948 20,6
Public administration/education/healthcare/social work 529 11,5
Other service activities by the number of business creations including free lancers 569 12,4
  • 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 2 673 2 539 2 551 2 620 2 521 2 686 3 220 3 737 3 685 4 601
  • 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 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 2023

Employment area 2020 of Pau (7522)

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 59 2 039
1 star 1 62
2 stars 19 630
3 stars 22 795
4 stars 5 334
5 stars 2 105
Non-ranked 10 113
  • 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 11 656
1 star 2 40
2 stars 3 164
3 stars 5 419
4 stars 0 0
5 stars 0 0
Non-ranked 1 33
  • 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 8 1 291
Tourist accommodations 7 1 269
Holiday villages or private homes 0 0
Youth hostels 1 22
  • (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.