données locales

Paru le : 06/11/2025

Full set of local data Municipality of Landas (59330)

Detailed figures
Paru le :Paru le06/11/2025
- November 2025

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

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

Growth and structure of the population in 2022

Municipality of Landas (59330)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 2 383 100,0 2 402 100,0 2 482 100,0
0 to 14 years old 449 18,8 423 17,6 432 17,4
15 to 29 years old 403 16,9 382 15,9 378 15,2
30 to 44 years old 455 19,1 474 19,7 483 19,5
45 to 59 years old 532 22,3 528 22,0 522 21,0
60 to 74 years old 363 15,2 452 18,8 467 18,8
75 and over 181 7,6 142 5,9 200 8,1
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2011 2016 2022
0 to 14 years old 18,8 17,6 17,4
15 to 29 years old 16,9 15,9 15,2
30 to 44 years old 19,1 19,7 19,5
45 to 59 years old 22,3 22,0 21,0
60 to 74 years old 15,2 18,8 18,8
75 and over 7,6 5,9 8,1
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

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

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
Population and average density 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Population 1 706 1 838 2 006 2 038 2 261 2 331 2 383 2 402 2 482
Average density (inhab / km²) 142,8 153,8 167,9 170,5 189,2 195,1 199,4 201,0 207,7
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % 1,1 1,3 0,2 1,2 0,4 0,4 0,2 0,5
due to the natural balance in % 0,5 0,4 0,4 0,6 0,7 0,3 0,4 0,3
due to the apparent balance of inflows and outflows in % 0,5 0,8 –0,2 0,6 –0,3 0,1 –0,2 0,2
Natality rate (‰) 18,6 15,2 14,7 13,2 13,0 10,4 10,8 10,3
Mortality rate (‰) 13,1 10,7 10,4 7,2 5,8 7,4 7,2 7,1
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 1 233 100,0 1 249 100,0
0 to 14 years old 220 17,9 212 16,9
15 to 29 years old 200 16,2 178 14,2
30 to 44 years old 235 19,1 248 19,8
45 to 59 years old 267 21,7 255 20,4
60 to 74 years old 222 18,0 245 19,6
75 to 89 years old 83 6,8 98 7,8
90 years and over 4 0,3 15 1,2
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T3bis - Population by age and sex in 2022

POP T3bis - Population by age and sex in 2022
Age Male % Female %
Ensemble 1 233 100,0 1 249 100,0
0 to 19 years old 296 24,0 281 22,5
20 to 64 years old 721 58,5 698 55,9
65 and over 216 17,6 270 21,6
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2011 % 2016 % 2022 %
People one year old and over, previously living 2 352 100,0 2 375 100,0 2 461 100,0
In the same house 2 184 92,8 2 170 91,4 2 316 94,1
In another house in the same town 26 1,1 46 1,9 17 0,7
In another town 142 6,1 158 6,7 128 5,2
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 14,3 85,7
15 to 24 years old 8,1 91,9
25 to 54 years old 10,7 89,3
55 years old and over 18,7 81,3
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

POP T5 - Population aged 15 years and over by current or previous socio-professional group
Socioprofessional group 2011 % 2016 % 2022 %
Altogether 1 943 100,0 1 911 100,0 2 048 100,0
Farmer operators 56 2,9 20 1,0 39 1,9
Craftsmen, traders, business leaders 88 4,5 95 5,0 136 6,6
Managers and higher intellectual professions 191 9,8 241 12,6 335 16,4
Middle-level occupations 299 15,4 311 16,3 374 18,3
Services employee 311 16,0 271 14,2 267 13,0
Blue-collar workers 203 10,4 186 9,7 141 6,9
Retirees 462 23,8 496 26,0 495 24,2
Other people with no professional activity 335 17,2 291 15,2 261 12,7
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 1 010 1 038 100,0 100,0 100,0
Farmer operators 29 10 0,0 2,0 2,4
Craftsmen, traders, business leaders 107 29 0,0 9,4 5,5
Managers and higher intellectual professions 180 155 0,0 25,3 10,9
Middle-level occupations 170 204 20,0 28,3 5,5
Services employee 102 165 12,7 18,8 6,1
Blue-collar workers 97 44 5,4 9,9 3,6
Retirees 223 271 0,0 0,0 61,8
Other people with no professional activity 102 159 61,9 6,3 4,2
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Municipality of Landas (59330)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 876 100,0 928 100,0 990 100,0 2 365 2 362 2 444
One-person households (male and female) 155 17,7 186 20,0 222 22,5 155 186 222
 Single Male 44 5,0 90 9,7 77 7,8 44 90 77
 Single Female 111 12,7 95 10,3 145 14,7 111 95 145
Other households without families 8 0,9 15 1,6 19 2,0 16 30 39
Family households : 713 81,4 727 78,4 748 75,6 2 194 2 146 2 183
 Couple without children 303 34,5 306 33,0 315 31,8 621 622 640
 Couple with children 350 40,0 351 37,8 350 35,4 1 409 1 329 1 349
 Single parent 60 6,8 70 7,6 82 8,3 163 196 194
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Average number of occupants per main residence 3,34 3,29 3,20 2,94 2,86 2,82 2,70 2,55 2,48
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

FAM G1 - Growth estimates of households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 main holdings

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

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2011 2016 2022
15 to 19 years old 0,0 0,0 3,4
20 to 24 years old 1,7 9,1 8,3
25 to 39 years old 3,6 3,7 4,8
40 to 54 years old 4,1 8,0 8,9
55 to 64 years old 8,8 11,2 9,9
65 to 79 years old 17,8 11,7 17,3
80 and above 36,3 43,6 41,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

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

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

FAM G3 - People aged 15 and over reporting living as a couple
2011 2016 2022
15 to 19 years old 0,0 0,0 1,4
20 to 24 years old 17,8 12,6 16,5
25 to 39 years old 75,0 77,2 78,1
40 to 54 years old 82,8 79,8 77,6
55 to 64 years old 84,9 80,8 80,0
65 to 79 years old 75,2 82,1 76,7
80 and above 45,1 41,6 41,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

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

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

FAM G4 - Marital status of the population aged 15 years or over in 2022
%
Married 49,0
Civil partnership 9,4
In cohabitation 9,3
Widowed 5,3
Divorced 4,6
Single 22,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

FAM T2 - Households by socioprofessionnal group of the reference person in 2022
Socioprofessional group Number of households % Household population %
Altogether 990 100,0 2 444 100,0
including farmer operators 24 2,5 68 2,8
including craftsmen, traders, business leaders 83 8,3 219 8,9
including managers and higher intellectual professions 199 20,1 525 21,5
including intermediate professions 194 19,6 623 25,5
including employees 121 12,3 306 12,5
including workers 92 9,3 238 9,7
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

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

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 2,5
Handicrafters, traders, business leaders 8,3
Managers and higher intellectual professions 20,1
Intermediate professions 19,6
Employees 12,3
Workers 9,3
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

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

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

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 725 100,0 732 100,0 753 100,0
Couple with children 358 49,5 351 47,9 350 46,5
Single parent 60 8,2 75 10,3 82 11,0
 Male single parent 16 2,2 20 2,7 39 5,2
 Female single parent 44 6,0 55 7,5 44 5,8
Couple without children 307 42,3 306 41,8 320 42,5
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2022 %
Altogether 350 100,0
Traditional family 336 95,8
Blended family 15 4,2
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 725 100,0 732 100,0 753 100,0
Without any 346 47,8 351 47,9 388 51,5
1 child 143 19,8 165 22,6 155 20,6
2 children 147 20,3 145 19,9 151 20,0
3 children 80 11,0 55 7,5 49 6,5
4 children or above 8 1,1 15 2,1 10 1,3
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Municipality of Landas (59330)

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

LOG T1 - Growth estimates of the number of housings by category since 1968
Housing category 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Altogether 552 610 688 759 834 876 930 998 1 081
Principal residences 509 559 625 692 791 817 868 927 987
Second dwellings and occasional dwellings 18 27 22 23 14 15 13 10 29
Vacant accommodations 25 24 41 44 29 44 49 61 65
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.

LOG T1bis - Categories of housings

LOG T1bis - Categories of housings
Category of housing 2011 2016 2022
Principal residences 93,3 92,9 91,3
Second dwellings and occasional dwellings 1,4 1,1 2,7
Vacant dwellings 5,3 6,1 6,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T2 - Types of housings

LOG T2 - Types of housings
Type of housing 2011 % 2016 % 2022 %
Altogether 930 100,0 998 100,0 1 081 100,0
Houses 910 97,8 973 97,5 1 015 93,9
Flats 17 1,8 25 2,5 59 5,4
Others 3 0,3 0 0,0 7 0,7
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

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

LOG T2bis - Contributions to the change in the number of principal residences
Contributions 2011-2016 % 2016-2022 %
Total change 59 6,3 61 6,1
due to the household size effect 51 5,5 29 2,9
due to the demographic effect 7 0,8 32 3,2
  • Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
Number of rooms 2011 % 2016 % 2022 %
Altogether 868 100,0 927 100,0 987 100,0
1 room 4 0,5 0 0,0 6 0,6
2 rooms 18 2,1 17 1,8 27 2,7
3 rooms 85 9,7 75 8,1 110 11,1
4 rooms 147 17,0 159 17,2 161 16,3
5 rooms or above 614 70,8 675 72,8 683 69,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 5,4 5,4 5,3
House 5,4 5,5 5,4
Flat 2,9 2,9 2,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4bis - Dwelling occupancy index

LOG T4bis - Dwelling occupancy index
Occupancy index 2011 2016 2022
Standard occupancy 8,2 7,0 7,4
Moderate over-occupation 0,5 0,0 1,5
Severe over-occupation 0,5 0,0 0,0
Moderate under-occupation 17,3 18,9 11,8
Severe under-occupation 25,5 26,5 25,5
Very severe under-occupation 48,2 47,6 53,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 940 100,0
Before 1919 193 20,6
From 1919 to 1945 119 12,6
From 1946 to 1970 117 12,4
From 1971 to 1990 233 24,8
From 1991 to 2005 138 14,7
From 2006 to 2019 140 14,9
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

LOG G1 - Principal residences in 2022 by completion period and housing category
House Flat
Before 1919 191 2
From 1919 to 1945 117 2
From 1946 to 1970 112 5
From 1971 to 1990 229 3
From 1991 to 2005 130 7
From 2006 to 2018 130 10
  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

LOG T6 - Length of residence in the main residences in 2022
Length of residence Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 987 100,0 2 444 5,3 2,1
Less than 2 years ago 69 7,0 156 4,5 2,0
From 2 to 4 years ago 162 16,4 399 4,5 1,8
From 5 to 9 years ago 178 18,0 524 5,2 1,8
10 years ago or above 578 58,5 1 366 5,7 2,4
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

LOG G2 - Length of residence of households in 2022
Share of households in%
Less than 2 years ago 7,0
From 2 to 4 years ago 16,4
From 5 to 9 years ago 18,0
From 10 to 19 years ago 16,8
From 20 to 29 years ago 16,0
30 years ago or above 25,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

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

LOG T7 - Principal residences by housing tenure

LOG T7 - Principal residences by housing tenure
2011 2016 2022
Housing tenure Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 868 100,0 927 100,0 987 100,0 2 444 19,8
Homeowner 739 85,1 771 83,2 803 81,3 2 045 22,8
Tenant 114 13,2 143 15,5 172 17,4 373 5,4
including public tenants 1 0,1 11 1,2 7 0,7 15 6,9
Housed for free 15 1,7 12 1,3 13 1,3 26 23,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T8M - Comfort of principal residences: primary heating fuel

LOG T8M - Comfort of principal residences: primary heating fuel
Fuel 2011 % 2016 % 2022 %
Town gas - district heating network 346 39,9 389 42,0 396 40,1
Fuel oil 154 17,8 139 15,0 102 10,3
Electricity 194 22,4 235 25,3 297 30,1
Bottled or tank gas 25 2,9 17 1,8 13 1,3
Other (wood, solar, geothermal, etc.) 148 17,1 146 15,8 180 18,2
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9 - Household automotive equipment

LOG T9 - Household automotive equipment
Equipment 2011 % 2016 % 2022 %
At least one car 816 94,0 881 95,0 940 95,2
 1 car 338 39,0 348 37,6 334 33,8
 2 cars or above 478 55,0 533 57,5 606 61,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9bis - Parking space reserved for personal use

LOG T9bis - Parking space reserved for personal use
Parking space 2011 % 2016 % 2022 %
All principal residences 868 100,0 927 100,0 987 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 722 83,1 806 87,0 883 89,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Municipality of Landas (59330)

FOR T1 - Schooling by age and sex in 2022

FOR T1 - Schooling by age and sex in 2022
Age Total Scholarized population Scholarized population in %
Altogether Male Female
2 to 5 years old 115 93 80,5 80,0 81,0
6 to 10 years old 160 160 100,0 100,0 100,0
11 to 14 years old 111 111 100,0 100,0 100,0
15 to 17 years old 83 82 98,8 98,0 100,0
18 to 24 years old 185 87 47,0 39,6 53,7
25 to 29 years old 111 7 6,1 7,6 4,2
30 years old or above 1 672 5 0,3 0,2 0,3
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 91,0 82,8 80,5
6 to 10 years old 100,0 95,1 100,0
11 to 14 years old 100,0 100,0 100,0
15 to 17 years old 100,0 100,0 98,8
18 to 24 years old 56,8 61,4 47,0
25 to 29 years old 4,8 2,6 6,1
30 years old or above 0,2 0,6 0,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR G1 - Schooling rate by age (in %)

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

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022
Altogether Male Female
Proportion of unschooled aged 15 years or above 1 870 924 946
Proportion of graduates in percentage
No diploma or primary education certificate 13,6 10,7 16,4
BEPC brevet des collèges or DNB 5,0 5,5 4,5
CAP, BEP or equivalent 19,3 23,0 15,7
Baccalauréat, brevet professionnel or equivalent 17,7 19,5 16,0
2 years at university 16,0 15,6 16,5
3 to 4 years at university 13,3 9,9 16,7
5 years or more at university 15,0 15,8 14,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
2011 2022
No diploma or primary education certificate 21,9 13,6
BEPC brevet des collèges or DNB 5,1 5,0
CAP, BEP or equivalent 22,3 19,3
Baccalauréat, brevet professionnel or equivalent 18,8 17,7
2 years or more at university 31,9 44,3
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

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

  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

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

Municipality of Landas (59330)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2011 2016 2022
Altogether 1 576 1 535 1 564
Working age adult in % 71,1 73,7 78,5
 Working age adults with a job in % 66,7 68,7 74,3
 Unemployed workers in % 4,4 5,0 4,2
Economically inactive people in % 28,9 26,3 21,5
 Pupils, students or interns in % 11,2 12,0 9,0
 Retirees in % 10,1 7,5 5,8
 Other economically inactive people in % 7,6 6,8 6,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 1 564 1 227 78,5 1 161 74,3
 15 to 24 years old 268 120 44,8 96 36,0
 25 to 54 years old 939 876 93,3 841 89,6
 55 to 64 years old 357 231 64,7 223 62,6
Male 796 639 80,3 607 76,3
 15 to 24 years old 136 67 49,3 54 39,3
 25 to 54 years old 466 446 95,6 432 92,7
 55 to 64 years old 193 126 65,4 121 62,9
Female 768 588 76,6 554 72,1
 15 to 24 years old 131 53 40,0 43 32,6
 25 to 54 years old 472 430 91,1 409 86,6
 55 to 64 years old 164 105 64,0 102 62,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 74,3
Unemployed workers 4,2
Retirees 5,8
Pupils, students or interns 9,0
Other economically inactive people 6,8
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 1 147 1 083 1 118 1 058 1 278 1 220
including farmer operators 52 52 20 20 39 39
including handicrafters, traders and business leaders 80 80 95 95 136 131
including managers and higher intellectual professions 191 191 236 236 326 316
including intermediate professions 299 283 311 286 374 365
including employees 311 291 271 251 262 248
including workers 203 187 186 171 141 121
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2011 2016 2022
Number of unemployed workers 69 77 66
Unemployment rate in % 6,1 6,8 5,4
Unemployment of the 15-24 aged 25,5 21,1 19,5
Unemployment of the 25-54 aged 4,4 5,9 4,0
Unemployment of the 55-64 aged 3,6 5,2 3,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 7,5
BEPC brevet des collèges or DNB 15,1
CAP, BEP or equivalent 6,7
Baccalauréat, brevet professionnel or equivalent 5,5
2 years at university 3,9
3 to 4 years at university 4,2
5 years or more at university 4,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 395 354 428
Working age adult living in the area 1 062 1 068 1 180
Occupational concentration by industry 37,2 33,2 36,3
employment rate of 15 years old or above in % 58,4 57,9 60,9
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations holdings, place of residence and place of work, geography as of 01/01/2025.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2011 % 2016 % 2022 %
Altogether 395 100,0 354 100,0 428 100,0
Employee 258 65,3 233 65,8 284 66,4
 including women 131 33,3 128 36,2 141 32,8
 including part time jobs 67 17,0 59 16,7 58 13,4
Non-employee 137 34,7 121 34,2 144 33,6
 including women 54 13,8 50 14,1 60 14,1
 including part time jobs 18 4,6 13 3,7 27 6,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 502 100,0
Farmer operators 44 8,8
Handicrafters, traders, business leaders 74 14,7
Managers and higher intellectual professions 52 10,3
Intermediate professions 94 18,8
Employees 135 26,8
Workers 103 20,5
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 8,7 5,0 8,8
Handicrafters, traders, business leaders 13,7 18,0 14,7
Managers and higher intellectual professions 10,0 14,3 10,3
Intermediate professions 27,8 11,3 18,8
Employees 20,5 28,3 26,8
Workers 19,4 23,2 20,5
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

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

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 437 100,0 405 100,0 502 100,0 46,1 62,7
Agriculture 54 12,3 25 6,2 74 14,7 26,2 40,1
Industry 48 11,0 23 5,7 40 7,9 37,1 50,8
Construction 56 12,9 96 23,8 51 10,1 0,0 61,7
Wholesale and retail trade/transports/accommodations and food service activities 91 20,9 134 33,0 182 36,2 51,1 60,0
Public administration/education/human health/social work 188 42,9 127 31,3 156 31,0 66,9 79,9
  • Sources : Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

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

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022
Employees Non-employees
Agriculture 32,6 22,0
Industry 48,9 24,8
Construction 0,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 58,5 40,0
Public administration, education, human health, social work 70,7 51,6
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

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

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

Characteristics of employment in the sense of the census in 2022

Municipality of Landas (59330)

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

ACT T1 - Population aged 15 years or over having a job by status in 2022
Employment status Number % of which % part-time of which % women
Altogether 1 180 100,0 16,1 47,5
Employees 957 81,0 16,2 49,9
Non-employees 224 19,0 15,6 37,0
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022
Employment status and conditions Male % Female %
Altogether 620 100 560 100
Employees 479 77,2 478 85,2
 Tenured personnel and open-ended employment contracts 430 69,4 418 74,7
 Fixed-term employment contracts 23 3,8 43 7,6
 Temporary employment 4 0,6 3 0,5
 Assisted jobs 1 0,2 2 0,3
 Apprentice ship contract - Traineeship 20 3,3 12 2,1
Non-employees 141 22,8 83 14,8
 Independents 70 11,3 54 9,6
 Employers 70 11,3 26 4,7
 Caregivers 1 0,2 3 0,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022
Age Male of which% part-time Female of which% part-time
Altogether 472 7,6 475 23,6
15 to 24 years old 50 27,5 41 28,6
25 to 54 years old 338 3,5 346 20,3
55 to 64 years old 85 12,6 88 34,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2011 2016 2022
Male 5,5 5,0 8,3
Female 30,4 28,9 24,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
Work Area 2011 % 2016 % 2022 %
Altogether 1 061 100 1 068 100 1 180 100
Working in their residential zone 200 18,9 175 16,3 208 17,6
Working in another zone 861 81,1 894 83,7 972 82,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

ACT G2 - Proportion of transports used to go to work in 2022
Percentage
None 6,4
Walking 2,3
Bicycle 1,7
Motorized two-wheeled vehicles 0,8
Car or truck 80,2
Public transports 8,5
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

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

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

Municipality of Landas (59330)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Domiciled deaths 11 20 15 24 23 9 13 19 15 25
Domiciled births 35 28 28 16 30 24 24 31 19 16
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

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

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

Household income and poverty in 2021

Municipality of Landas (59330)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 974
Number of people in tax households 2 532
Median disposable income (per consumption unit in euros) 27 410
Share of actually taxed tax households (in %) 66
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income Share in %
Work income 76,7
   Wages 67,5
   Unemployment pensions 1,9
   Self-employed income 7,3
Retirement pension or annuity 25,0
Capital income (real estate, financial, others) 13,8
Social benefits 2,6
   Child benefit 1,3
   Income support 1,0
   Housing benefit 0,3
Tax –18,1
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 27 410
Inter-decile ratio 2,9
1st decile (in euros) 15 950
9th decile (in euros) 46 010
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2023

Municipality of Landas (59330)

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

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023
Altogether Female Male
Altogether 2 044 1 947 2 101
Managerial staff* 2 876 3 131 2 730
Intermediate professions 2 479 2 304 2 920
Employees 1 741 1 687 1 950
Workers 1 966 1 609 1 983
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

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

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

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023
Pay gap (%)
Altogether –7,3
Managerial staff* 14,7
Intermediate professions –21,1
Employees –13,5
Workers –18,8
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

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

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

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023
Age Altogether Female Male
Less than 25 years old 1 629 1 590 1 652
25 to 39 years old 2 052 1 947 2 119
40 to 49 years old 2 119 1 948 2 176
50 to 54 years old 2 224 2 248 2 196
55 years old or older 2 062 1 885 2 159
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023
Pay gap (%)
Less than 25 years old –3,7
25 to 39 years old –8,1
40 to 49 years old –10,5
50 to 54 years old 2,4
55 years old or older –12,7
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

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

Establishment characteristics at the end of 2023

Municipality of Landas (59330)

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

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 66 100,0 6 52 6 2 0
Agriculture, forestry and fishing 10 15,2 3 7 0 0 0
Industrial economy 5 7,6 0 4 1 0 0
Building industry 14 21,2 0 12 2 0 0
Trade, transport, various services 26 39,4 3 21 1 1 0
General government, education, healthcare, social action 11 16,7 0 8 2 1 0
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 employees and more
Altogether 322 100,0 161 96 65 0 0
Agriculture, forestry and fishing 14 4,3 14 0 0 0 0
Industrial economy 29 9,0 12 17 0 0 0
Building industry 63 19,6 35 28 0 0 0
Trade, transport, various services 91 28,3 55 14 22 0 0
General government, education, healthcare, social action 125 38,8 45 37 43 0 0
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
Part
Agriculture, forestry and fishing 15,2
Industrial economy 7,6
Building industry 21,2
Trade, transport, various services 39,4
General government, education, healthcare, social action 16,7
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

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

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

RES G2 - Distribution of establishments by workforce size at the end of 2023
Part
50 or more employees 0,0
20 to 49 employees 3,0
10 to 19 employees 9,1
1 to 9 employees 78,8
0 employee 9,1
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

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

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

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 66 100,0 322 100,0
Productive sphere 25 37,9 84 26,1
of which public domain 0 0,0 0 0,0
Presential sphere 41 62,1 238 73,9
of which public domain 2 3,0 26 8,1
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 197 100,0
Employers of childminders 66 33,5
Employers of other employees 131 66,5
  • Scope: private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

Business and establishment set-ups in 2024

Municipality of Landas (59330)

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

DEN T1 - Business set-ups by sector of activity in 2024
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 38 84,2 5,3 10,5 0,0
Industry 5 100,0 0,0 0,0 0,0
Construction 1 100,0 0,0 0,0 0,0
Wholesale and retail trade/transports/accommodations and food service activities 8 62,5 12,5 25,0 0,0
Information/communication 1 100,0 0,0 0,0 0,0
Finance and insurance activities 1 0,0 0,0 100,0 0,0
Real estate activities 0
Professional/scientific/technical activites/administrative and support service activities 7 71,4 14,3 14,3 0,0
Public administration/education/healthcare/social work 8 100,0 0,0 0,0 0,0
Other service activities 7 100,0 0,0 0,0 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 15 27 14 29 21 18 24 25 23 33 29 23 38
Sole proprietorship 9 16 8 25 14 14 22 18 17 20 18 18 32
SARL 4 6 5 4 4 3 1 3 4 7 4 3 2
SAS 1 4 1 0 1 1 1 4 2 6 5 1 4
Other societies 1 1 0 0 2 0 0 0 0 0 2 1 0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G1 - Business set-ups

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

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

DEN T2 - Establishment set-ups by economic sectors in 2024
Sector of activity Altogether %
Altogether 39 100,0
Industry 5 12,8
Construction 1 2,6
Wholesale and retail trade/transports/accommodations and food service activities 9 23,1
Information/communication 1 2,6
Finance and insurance activities 1 2,6
Real estate activities 0 0,0
Professional/scientific/technical activites/administrative and support service activities 6 15,4
Public administration/education/healthcare/social work 8 20,5
Other service activities by the number of business creations including free lancers 8 20,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Establishment set-ups 18 29 15 28 20 21 23 27 27 33 31 28 39
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

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

Number of legal entities and establishments in 2023

Municipality of Landas (59330)

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

DEN T3 - Number of economically active legal units by economic sector in 2023
Sector of activity Number %
Altogether 199 100,0
Industry 15 7,5
Construction 33 16,6
Wholesale and retail trade/transports/accommodations and food service activities 30 15,1
Information/communication 8 4,0
Finance and insurance activities 14 7,0
Real estate activities 17 8,5
Professional/scientific/technical activites/administrative and support service activities 32 16,1
Public administration/education/human health/social work 33 16,6
Other service activities 17 8,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

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

DEN T4 - Number of economically active establishments by economic sector in 2023
Sector of activity Number %
Altogether 216 100,0
Industry 17 7,9
Construction 34 15,7
Wholesale and retail trade/transports/accommodations and food service activities 34 15,7
Information/communication 9 4,2
Finance and insurance activities 15 6,9
Real estate activities 17 7,9
Professional/scientific/technical activites/administrative and support service activities 35 16,2
Public administration/education/human health/social work 39 18,1
Other service activities 16 7,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Facilities and services for the population in 2024

Municipality of Landas (59330)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 0
Grocery store, convenience store 0
Bakery and pastry shop 1
Service station 0
Electric vehicle charging station 0
Hair salon 3
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024
Healthcare professionals and pharmacies Number
General practitioner 5
Dentist 0
Physiotherapist 7
Nurse 2
Psychologist 1
Pharmacy 1
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T3 - Number of educationals institutions or libraries in 2024

EQUIP T3 - Number of educationals institutions or libraries in 2024
Educational or cultural institutions Number
Nursery and primary school 2
Middle school 0
General and/or technological upper secondary school 0
Vocational or agricultural upper secondary school 0
Library 1
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Municipality of Landas (59330)

TOU T1 - Number and capacity of hotels on the 1st of January 2025

TOU T1 - Number and capacity of hotels on the 1st of January 2025
Number of stars Hotels Rooms
Altogether 0 0
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T2 - Number and capacity of campsites on the 1st of January 2025

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

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025
Type of accomodation Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels or sports center 0 0
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

Voters in 2024

Municipality of Landas (59330)

REU - Number of voters registered on the main electoral roll by election

REU - Number of voters registered on the main electoral roll by election
Municipal election 2020 Departmental and regional election 2021 Presidential election 2022 European election 2024
2 035 2 074 2 106 2 118
  • Note : The data on voters is extracted at the close of registration for the mentioned election.
  • Source : Insee, Unique electoral register.

Définitions

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

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

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

Wage in full-time equivalent (FTE) :

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

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

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

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

Champ

Population censuses

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

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

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

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

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

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

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (Filosofi)

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

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

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

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

All employees databases (BTS)

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

Business Demography Information System (Side)

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

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

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

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

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Permanent database of facilities

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

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

Hotel occupancy survey

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

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

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

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

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

Unique electoral register

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

The scope concerns voters registered on the main electoral list.

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

Géographie

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

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

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

All employees databases (BTS), file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2025;

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

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

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

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

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

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Confidentiality and precautions of the All Employees databases (BTS)

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

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

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

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

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

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

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

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