
Paru le : 27/08/2026
Full set of local data Municipality of Beaumerie-Saint-Martin (62094)
For statistical confidentiality reasons, some indicators may not be provided.
Growth and structure of the population in 2023
tableauPOP T1 - Population by age group
| Age | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| Under 15 years old | 85 | 21,6 | 89 | 22,5 | 78 | 20,7 |
| From 15 to 24 years | 36 | 9,1 | 39 | 9,9 | 31 | 8,2 |
| From 25 to 39 years | 79 | 20,1 | 74 | 18,6 | 49 | 12,9 |
| From 40 to 54 years | 91 | 23,2 | 83 | 20,9 | 95 | 25,0 |
| From 55 to 64 years | 53 | 13,5 | 44 | 11,1 | 52 | 13,8 |
| From 65 to 79 years | 38 | 9,6 | 54 | 13,6 | 53 | 14,1 |
| 80 years old or older | 11 | 2,9 | 13 | 3,3 | 20 | 5,4 |
| Altogether | 394 | 100,0 | 397 | 100,0 | 379 | 100,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauPOP G1 - Population by age group
| 2012 | 2017 | 2023 | |
|---|---|---|---|
| Under 15 years old | 21,6 | 22,5 | 20,7 |
| From 15 to 24 years | 9,1 | 9,9 | 8,2 |
| From 25 to 39 years | 20,1 | 18,6 | 12,9 |
| From 40 to 54 years | 23,2 | 20,9 | 25,0 |
| From 55 to 64 years | 13,5 | 11,1 | 13,8 |
| From 65 to 79 years | 9,6 | 13,6 | 14,1 |
| 80 years old or older | 2,9 | 3,3 | 5,4 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
graphiquePOP G1 - Population by age group

- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauPOP T2 - Population since 1968: population and average density (residents per square kilometre)
| Population et densité | 1968(*) | 1975(*) | 1982 | 1990 | 1999 | 2007 | 2012 | 2017 | 2023 |
|---|---|---|---|---|---|---|---|---|---|
| Population | 306 | 263 | 296 | 309 | 318 | 355 | 394 | 397 | 379 |
| Average density (inhab / km²) | 3 265,7 | 2 806,8 | 3 159,0 | 3 297,8 | 3 393,8 | 3 788,7 | 4 204,9 | 4 236,9 | 4 044,8 |
- (*) 1967 and 1974 for overseas departments (DOM)
- The data proposed is established for the same geographical scope, in the geography in force on 01/01/2026.
- Sources: Insee, RP1967 to 1999 counts, RP2007 to RP2023 main holdings.
tableauPOP T3M - Demographic indicators since 1968
| Demographic indicators | 1968 to 1975 | 1975 to 1982 | 1982 to 1990 | 1990 to 1999 | 1999 to 2007 | 2007 to 2012 | 2012 to 2017 | 2017 to 2023 |
|---|---|---|---|---|---|---|---|---|
| Average annual change in population in % | –2,1 | 1,7 | 0,5 | 0,3 | 1,4 | 2,1 | 0,2 | –0,8 |
| due to the natural balance in % | –0,0 | –0,2 | 0,4 | 0,9 | 0,6 | 0,6 | 0,4 | 0,6 |
| due to the apparent balance of inflows and outflows in % | –2,1 | 1,9 | 0,1 | –0,5 | 0,8 | 1,5 | –0,3 | –1,4 |
| Natality rate (‰) | 11,0 | 11,3 | 15,7 | 14,5 | 13,5 | 17,3 | 11,6 | 13,3 |
| Mortality rate (‰) | 11,5 | 13,4 | 11,6 | 6,0 | 7,9 | 10,8 | 7,6 | 6,8 |
- The data proposed is established for the same geographical scope, in the geography in force on 01/01/2026.
- Sources: Insee, RP1968 to 1999 counts, RP2007 to RP2023 main holdings - Civil status
tableauPOP T4 - Population by sex and age group in 2023
| Age | Male | % | Female | % |
|---|---|---|---|---|
| Under 15 years old | 38 | 20,2 | 40 | 21,1 |
| From 15 to 24 years | 17 | 9,3 | 14 | 7,1 |
| From 25 to 39 years | 27 | 14,2 | 22 | 11,7 |
| From 40 to 54 years | 48 | 25,7 | 46 | 24,2 |
| From 55 to 64 years | 26 | 13,9 | 26 | 13,7 |
| From 65 to 79 years | 25 | 13,4 | 28 | 14,7 |
| 80 years old or older | 6 | 3,2 | 14 | 7,5 |
| Altogether | 188 | 100,0 | 191 | 100,0 |
- Source: Insee, RP2023 main operation, geography as of 01/01/2026.
tableauPOP T5 - Population by sex and broad age groups in 2023
| Age | Male | % | Female | % |
|---|---|---|---|---|
| Under 20 years old | 48 | 25,8 | 51 | 26,7 |
| From 20 to 64 years | 108 | 57,5 | 98 | 51,1 |
| 65 years old or older | 31 | 16,7 | 42 | 22,2 |
| Altogether | 188 | 100,0 | 191 | 100,0 |
- Source: Insee, RP2023 main operation, geography as of 01/01/2026.
tableauPOP T6 - Home address 1 year before the study
| Home adress | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| People one year old and over, previously living : | 387 | 100,0 | 395 | 100,0 | 378 | 100,0 |
| In the same house | 333 | 86,2 | 362 | 91,5 | 355 | 94,0 |
| In another house in the same town | 12 | 3,2 | 13 | 3,4 | 8 | 2,1 |
| In another town | 41 | 10,6 | 20 | 5,1 | 15 | 3,9 |
- Source : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauPOP G2 - Home address 1 year before for people living in another house, by age in 2023
| In another house in the same town | In another town | |
|---|---|---|
| From 1 to 14 years | 37,4 | 62,6 |
| From 15 to 24 years | 0,0 | 100,0 |
| From 25 to 54 years | 30,7 | 69,3 |
| 55 years old or older | 100,0 | 0,0 |
- Source: Insee, RP2023 main operation, geography as of 01/01/2026.
graphiquePOP G2 - Home address 1 year before for people living in another house, by age in 2023

- Source: Insee, RP2023 main operation, geography as of 01/01/2026.
tableauPOP T7 - Population aged 15 or over by current or former socioprofessional classification
| Current or former socioprofessional group | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| Farmers | 8 | 2,7 | 5 | 1,7 | 0 | 0,0 |
| Craftsmen, merchants and business owners | 21 | 6,8 | 15 | 5,1 | 15 | 4,6 |
| Executives and higher-level intellectual professions | 21 | 6,8 | 10 | 3,4 | 9 | 3,0 |
| Technicians and associate professionals | 45 | 15,1 | 66 | 22,1 | 34 | 10,5 |
| Office employees | 37 | 12,3 | 50 | 16,9 | 78 | 24,2 |
| Workers | 37 | 12,3 | 46 | 15,3 | 53 | 16,6 |
| Retired persons | 70 | 23,3 | 80 | 27,0 | 94 | 29,3 |
| Other inactive individuals | 62 | 20,5 | 25 | 8,5 | 38 | 11,8 |
| Altogether | 300 | 100,0 | 297 | 100,0 | 322 | 100,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, additional operations, geography as of 01/01/2026.
tableauPOP T8 - Population aged 15 years and over by sex and current or former socioprofessional classification in 2023
| Socioprofessional classification | Male | % | Female | % |
|---|---|---|---|---|
| Farmers | 0 | 0,0 | 0 | 0,0 |
| Craftsmen, merchants and business owners | 15 | 8,9 | 0 | 0,0 |
| Executives and higher-level intellectual professions | 9 | 5,7 | 0 | 0,0 |
| Technicians and associate professionals | 19 | 11,6 | 15 | 9,4 |
| Office employees | 15 | 8,8 | 63 | 40,5 |
| Workers | 44 | 26,5 | 10 | 6,1 |
| Retired persons | 45 | 27,0 | 50 | 31,9 |
| Other people with no professional activity | 19 | 11,5 | 19 | 12,2 |
| Altogether | 166 | 100,0 | 156 | 100,0 |
- Source: Insee, RP2023 additional operations, geography as of 01/01/2026.
tableauPOP T9 - Population aged 15 years and over by age and current or former socioprofessional classification in 2023
| Socioprofessional classification | 15 to 24 years | % | 25 to 54 years | % | 55 years or older | % |
|---|---|---|---|---|---|---|
| Farmers | 0 | 0,0 | 0 | 0,0 | 0 | 0,0 |
| Craftsmen, merchants and business owners | 0 | 0,0 | 10 | 7,0 | 5 | 3,8 |
| Executives and higher-level intellectual professions | 0 | 0,0 | 9 | 6,8 | 0 | 0,0 |
| Technicians and associate professionals | 5 | 9,0 | 29 | 20,7 | 0 | 0,0 |
| Office employees | 14 | 27,5 | 44 | 31,2 | 20 | 15,3 |
| Workers | 5 | 9,3 | 44 | 30,9 | 5 | 3,8 |
| Retired persons | 0 | 0,0 | 0 | 0,0 | 94 | 73,2 |
| Other people with no professional activity | 28 | 54,2 | 5 | 3,4 | 5 | 3,8 |
| Altogether | 52 | 100,0 | 141 | 100,0 | 129 | 100,0 |
- Source: Insee, RP2023 additional operations, geography as of 01/01/2026.
Couples – Family – Households in 2023
tableauFAM G1 - Growth estimates of households’ size since 1968
| 1968(*) | 1975(*) | 1982 | 1990 | 1999 | 2007 | 2012 | 2017 | 2023 | |
|---|---|---|---|---|---|---|---|---|---|
| Average number of occupants per main residence | 3,74 | 3,31 | 3,27 | 3,03 | 2,79 | 2,57 | 2,56 | 2,63 | 2,39 |
- (*) 1967 and 1974 for the overseas departments (DOM)
- The data proposed is established for the same geographical scope
- in the geography in force on 01/01/2026.
- Sources : Insee, RP1967 to 1999 counts RP2012 to RP2023 main holdings
graphiqueFAM 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 01/01/2026.
- Sources : Insee, RP1967 to 1999 counts RP2012 to RP2023 main holdings
tableauFAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
| 2012 | 2017 | 2023 | |
|---|---|---|---|
| From 15 to 24 years | 2,9 | 2,5 | 3,3 |
| From 25 to 39 years | 2,6 | 4,1 | 10,4 |
| From 40 to 54 years | 4,5 | 4,8 | 6,5 |
| From 55 to 64 years | 19,2 | 6,8 | 9,8 |
| From 65 to 79 years | 24,3 | 16,6 | 21,1 |
| 80 years old or older | 45,5 | 61,4 | 65,4 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
graphiqueFAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauFAM G3 - People aged 15 and over reporting living as a couple
| 2012 | 2017 | 2023 | |
|---|---|---|---|
| From 15 to 24 years | 22,9 | 10,2 | 0,0 |
| From 25 to 39 years | 85,7 | 90,5 | 77,5 |
| From 40 to 54 years | 89,9 | 79,3 | 86,3 |
| From 55 to 64 years | 76,9 | 79,6 | 82,5 |
| From 65 to 79 years | 70,3 | 77,8 | 75,3 |
| 80 years old or older | 45,5 | 38,5 | 29,7 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
graphiqueFAM G3 - People aged 15 and over reporting living as a couple

- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauFAM G4 - Marital status of the population aged 15 years or over in 2023
| en % | |
|---|---|
| Married | 47,9 |
| Civil partnership | 5,6 |
| In cohabitation | 15,4 |
| Widowed | 8,5 |
| Divorced | 4,7 |
| Single | 18,0 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
graphiqueFAM G4 - Marital status of the population aged 15 years or over in 2023

- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
Housing in 2023
tableauLOG T1 - Growth estimates of the number of housings by category since 1968
| Housing category | 1968(*) | 1975(*) | 1982 | 1990 | 1999 | 2007 | 2012 | 2017 | 2023 |
|---|---|---|---|---|---|---|---|---|---|
| Main residences | 81 | 78 | 88 | 102 | 114 | 138 | 154 | 151 | 159 |
| Dwellings reserved for secondary use and occasional dwellings | 3 | 9 | 18 | 37 | 30 | 16 | 31 | 25 | 14 |
| Vacant dwellings | 7 | 9 | 18 | 6 | 2 | 9 | 6 | 16 | 16 |
| Altogheter | 91 | 96 | 124 | 145 | 146 | 163 | 191 | 192 | 189 |
- (*) 1967 and 1974 for the overseas departments
- The data presented are based on a consistent geographic boundary, using the geographic framework in effect as of January 1, 2026
- Sources : Insee, RP1967 to RP1999 counts, RP2007 to RP2023 main holdings.
tableauLOG T2 - Share of housing units by category (in %)
| Categories of housings | 2012 | 2017 | 2023 |
|---|---|---|---|
| Main residences | 80,6 | 78,6 | 84,1 |
| Dwellings reserved for secondary use and occasional dwellings | 16,1 | 13,1 | 7,4 |
| Vacant dwellings | 3,2 | 8,4 | 8,5 |
| Altogether | 100,0 | 100,0 | 100,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauLOG T3 - Types of housings
| Type of housing | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| Houses | 175 | 91,9 | 176 | 91,6 | 177 | 93,6 |
| Flats | 2 | 1,1 | 0 | 0,0 | 3 | 1,6 |
| Others | 13 | 7,0 | 16 | 8,4 | 9 | 4,8 |
| Altogether | 191 | 100,0 | 192 | 100,0 | 189 | 100,0 |
- Sources : Insee, RP2012, RP2017 et RP2023, exploitations principales, géographie au 01/01/2026.
tableauLOG T4 - Contributions to the change in the number of principal residences
| Contributions | 2012-2017 | % | 2017-2023 | % |
|---|---|---|---|---|
| Total change | –3 | –1,9 | 8 | 5,2 |
| due to the household size effect | –4 | –2,6 | 15 | 10,2 |
| due to the demographic effect | 1 | 0,7 | –8 | –5,0 |
- Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
- Sources : Insee, RP2012, RP2017 et RP2023, exploitations principales, géographie au 01/01/2026.
tableauLOG T5 - Principal residences by number of rooms
| Number of rooms | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| 1 room | 0 | 0,0 | 1 | 0,7 | 0 | 0,0 |
| 2 rooms | 9 | 6,0 | 4 | 2,7 | 8 | 5,1 |
| 3 rooms | 19 | 12,7 | 14 | 9,3 | 12 | 7,7 |
| 4 rooms | 31 | 20,0 | 33 | 22,0 | 35 | 22,1 |
| 5 rooms or above | 94 | 61,3 | 99 | 65,4 | 104 | 65,2 |
| Altogether | 154 | 100,0 | 151 | 100,0 | 159 | 100,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauLOG T6 - Principal residences average number of rooms
| Type of main residence | 2012 | 2017 | 2023 |
|---|---|---|---|
| House | 4,9 | 5,1 | 5,0 |
| Flat | 2,5 | 3,0 | |
| All main residences | 4,9 | 5,1 | 5,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauLOG T7 - Dwelling occupancy index
| Occupancy index | 2012 | 2017 | 2023 |
|---|---|---|---|
| Very severe under-occupation | 43,2 | 48,1 | 37,8 |
| Severe under-occupation | 27,0 | 27,6 | 21,8 |
| Moderate under-occupation | 21,6 | 13,8 | 21,7 |
| Standard occupancy | 8,1 | 6,9 | 18,7 |
| Moderate overcrowding | 0,0 | 0,0 | 0,0 |
| Severe overcrowding | 0,0 | 3,5 | 0,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauLOG T8 - Principal residences in 2023 by completion period
| Completion period | Number | % |
|---|---|---|
| Before 1919 | 23 | 14,8 |
| 1919-1945 | 13 | 8,3 |
| 1946-1970 | 27 | 17,2 |
| 1971-1990 | 39 | 24,8 |
| 1991-2005 | 32 | 20,4 |
| From 2006 to 2020 | 23 | 14,5 |
| Main residences built before 2021 | 157 | 100,0 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauLOG G1 - Principal residences in 2023 by completion period and housing category
| House | Flat | |
|---|---|---|
| Before 1919 | 23 | 0 |
| 1919-1945 | 13 | 0 |
| 1946-1970 | 27 | 0 |
| 1971-1990 | 37 | 1 |
| 1991-2005 | 31 | 0 |
| From 2006 to 2020 | 23 | 0 |
- Main residences built before 2021.
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
graphiqueLOG G1 - Principal residences in 2023 by completion period and housing category

- Main residences built before 2021.
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauLOG T9 - Length of residence in the main residences in 2023
| Length of residence | Number of households | Share of households in % | Household population | Average number of pieces per | |
|---|---|---|---|---|---|
| lodging | person | ||||
| Less 2 years | 9 | 5,7 | 21 | 4,6 | 2,0 |
| 2-4 years | 20 | 12,5 | 57 | 4,9 | 1,7 |
| 5-9 years | 26 | 16,2 | 75 | 4,6 | 1,6 |
| 10 years ago or above | 104 | 65,7 | 225 | 5,2 | 2,4 |
| Altogether | 159 | 100,0 | 379 | 5,0 | 2,1 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauLOG G2 - Length of residence of households in 2023
| Share of households in% | |
|---|---|
| Less than 2 years ago | 5,7 |
| 2-4 years | 12,5 |
| 5-9 years | 16,2 |
| 10-19 years | 22,0 |
| 20-29 years | 22,7 |
| 30 years or over | 21,0 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
graphiqueLOG G2 - Length of residence of households in 2023

- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauLOG T10 - Principal residences by housing tenure
| 2012 | 2017 | 2023 | ||||||
|---|---|---|---|---|---|---|---|---|
| Housing tenure | Number | % | Number | % | Number | % | Number of persons | Average moving in age in year (s) |
| Homeowner | 116 | 75,3 | 120 | 79,3 | 130 | 81,9 | 298 | 20,6 |
| Tenant | 33 | 21,3 | 30 | 20,0 | 28 | 17,5 | 80 | 10,7 |
| including public tenants | 13 | 8,7 | 13 | 8,6 | 12 | 7,5 | 29 | 13,0 |
| Housed for free | 5 | 3,3 | 1 | 0,7 | 1 | 0,6 | 1 | 44,0 |
| Altogether | 154 | 100,0 | 151 | 100,0 | 159 | 100,0 | 379 | 19,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauLOG T11M - Comfort of principal residences: primary heating fuel
| Fuel | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| Town gas - district heating network | 1 | 0,7 | 3 | 2,0 | 0 | 0,0 |
| Fuel oil | 46 | 30,0 | 29 | 19,3 | 37 | 23,4 |
| Electricity | 57 | 37,3 | 48 | 32,0 | 52 | 32,6 |
| Bottled or tank gaz | 11 | 7,3 | 9 | 6,0 | 8 | 5,0 |
| Other (wood, solar, geothermal, etc.) | 38 | 24,7 | 61 | 40,7 | 62 | 39,0 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauLOG T12 - Household automotive equipment
| Equipment | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| At least one car | 143 | 92,7 | 140 | 92,7 | 149 | 93,6 |
| 1 car | 58 | 38,0 | 52 | 34,6 | 66 | 41,8 |
| 2 cars or above | 84 | 54,7 | 88 | 58,1 | 82 | 51,8 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauLOG T13 - Parking space reserved for personal use
| Parking space | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| All principal residences | 154 | 100,0 | 151 | 100,0 | 159 | 100,0 |
| Including those with at least one reserved parking space (box, garage, parking spot) | 117 | 76,0 | 103 | 68,1 | 132 | 83,1 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
Graduates and training programs in 2023
tableauFOR T1 - Schooling by age in 2023
| Age | Scholarized population | Total |
|---|---|---|
| 2 to 5 years old | 14 | 19 |
| 6 to 10 years old | 28 | 28 |
| 11 to 14 years old | 24 | 25 |
| 15 to 17 years old | 16 | 16 |
| 18 to 24 years old | 6 | 15 |
| 25 to 29 years old | 0 | 12 |
| 30 years old or above | 2 | 258 |
- Source : Insee, RP2023 principal exploitation, geography at the 01/01/2026.
tableauFOR T2 - Schooling rate by sex in 2023 (in %)
| Age | Male | Female | Total |
|---|---|---|---|
| 2 to 5 years old | 74,9 | 75,4 | 75,1 |
| 6 to 10 years old | 100,0 | 100,0 | 100,0 |
| 11 to 14 years old | 92,7 | 100,0 | 96,1 |
| 15 to 17 years old | 100,0 | 100,0 | 100,0 |
| 18 to 24 years old | 11,2 | 83,3 | 39,6 |
| 25 to 29 years old | 0,0 | 0,0 | 0,0 |
| 30 years old or above | 1,6 | 0,0 | 0,8 |
- Source : Insee, RP2023 principal exploitation, geography at the 01/01/2026.
tableauFOR G1 - Schooling rate by age (in %)
| 2012 | 2017 | 2023 | |
|---|---|---|---|
| 2 to 5 years old | 81,8 | 82,6 | 75,1 |
| 6 to 10 years old | 100,0 | 96,2 | 100,0 |
| 11 to 14 years old | 100,0 | 92,6 | 96,1 |
| 15 to 17 years old | 100,0 | 100,0 | 100,0 |
| 18 to 24 years old | 27,3 | 37,0 | 39,6 |
| 25 to 29 years old | 0,0 | 12,4 | 0,0 |
| 30 years old or above | 0,0 | 1,2 | 0,8 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
graphiqueFOR G1 - Schooling rate by age (in %)

- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauFOR T3 - Highest level of graduation for population aged 15 years or over by sex in 2023
| Diploma | Male | Female | Total |
|---|---|---|---|
| Proportion of unschooled aged 15 years or above | 138 | 138 | 276 |
| No diploma or primary education certificate in % | 12,4 | 19,7 | 16,1 |
| BEPC brevet des collèges or DNB in % | 2,9 | 6,5 | 4,7 |
| CAP, BEP or equivalent in % | 41,1 | 25,1 | 33,1 |
| Baccalauréat, brevet professionnel or equivalent in % | 22,9 | 20,8 | 21,8 |
| 2 years at university in % | 12,1 | 13,6 | 12,9 |
| 3 to 4 years at university in % | 3,6 | 10,7 | 7,2 |
| 5 years or more at university in % | 5,1 | 3,5 | 4,3 |
- Source : Insee, RP2023 principal exploitation, geography at the 01/01/2026.
tableauFOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
| 2012 | 2017 | 2023 | |
|---|---|---|---|
| No diploma or primary education certificate | 24,5 | 19,4 | 16,1 |
| BEPC brevet des collèges or DNB | 6,0 | 7,9 | 4,7 |
| CAP, BEP or equivalent | 28,4 | 32,0 | 33,1 |
| Baccalauréat, brevet professionnel or equivalent | 16,7 | 21,6 | 21,8 |
| Higher education degree | 24,5 | 19,1 | 24,3 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
graphiqueFOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
Active population, employment and unemployment within the meaning of the census in 2023
tableauEMP T1 - Population aged 15 to 64 by economic activity
| Economic activity | 2012 | 2017 | 2023 |
|---|---|---|---|
| Altogether | 260 | 240 | 227 |
| Working age adult in % | 71,5 | 77,3 | 78,4 |
| Working age adults with a job in % | 62,8 | 67,2 | 71,8 |
| Unemployed workers in % | 8,7 | 10,1 | 6,5 |
| Economically inactive people in % | 28,5 | 22,7 | 21,6 |
| Pupils, students or interns in % | 5,1 | 8,4 | 8,1 |
| Retirees in % | 13,8 | 6,3 | 7,1 |
| Other economically inactive people in % | 9,5 | 8,0 | 6,5 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauEMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2023
| Sex and age | Population | Active people | Activity rate in % | Working people | Employment rate in % |
|---|---|---|---|---|---|
| Altogether | 227 | 178 | 78,4 | 163 | 71,8 |
| 15 to 24 years old | 31 | 12 | 37,9 | 8 | 25,1 |
| 25 to 54 years old | 144 | 134 | 93,2 | 127 | 88,5 |
| 55 to 64 years old | 52 | 32 | 61,6 | 28 | 53,9 |
| Male | 119 | 96 | 80,9 | 86 | 72,6 |
| 15 to 24 years old | 17 | 10 | 56,3 | 6 | 33,6 |
| 25 to 54 years old | 75 | 73 | 97,4 | 67 | 89,5 |
| 55 to 64 years old | 26 | 13 | 50,1 | 13 | 50,1 |
| Female | 108 | 82 | 75,6 | 77 | 71,0 |
| 15 to 24 years old | 14 | 2 | 14,1 | 2 | 14,1 |
| 25 to 54 years old | 69 | 61 | 88,7 | 60 | 87,3 |
| 55 to 64 years old | 26 | 19 | 73,1 | 15 | 57,7 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauEMP G1 - Population aged 15 to 64 by economic activity category in 2023
| Population in % | |
|---|---|
| Working age adults who have a job | 71,8 |
| Unemployed workers | 6,5 |
| Retirees | 7,1 |
| Pupils, students or interns | 8,1 |
| Other economically inactive people | 6,5 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
graphiqueEMP G1 - Population aged 15 to 64 by economic activity category in 2023

- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauEMP T4 - Unemployment of the 15-64 aged population
| Number of unemployed workers and unemployment rate | 2012 | 2017 | 2023 |
|---|---|---|---|
| Number of unemployed workers | 23 | 24 | 15 |
| Unemployment rate in % | 12,2 | 13,0 | 8,3 |
| Unemployment of the 15-24 aged | 15,0 | 49,9 | 33,7 |
| Unemployment of the 25-54 aged | 12,1 | 10,2 | 5,1 |
| Unemployment of the 55-64 aged | 8,3 | 0,0 | 12,4 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauEMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
| Unemployment rate in % | |
|---|---|
| No diploma or primary education certificate | 0,0 |
| BEPC brevet des collèges or DNB | 11,2 |
| CAP, BEP or equivalent | 11,6 |
| Baccalauréat, brevet professionnel or equivalent | 12,3 |
| 2 years at university | 3,1 |
| 3 to 4 years at university | 0,0 |
| 5 years or more at university | 0,0 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
graphiqueEMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauEMP T5 - Employment and activity
| Employment activity | 2012 | 2017 | 2023 |
|---|---|---|---|
| Number of jobs in the area | 53 | 53 | 65 |
| Working age adult living in the area | 164 | 163 | 166 |
| Occupational concentration by industry | 32,5 | 32,8 | 39,1 |
| Employment rate of 15 years old or above in % | 60,5 | 60,7 | 60,2 |
- 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, RP2012, RP2017 and RP2023, main operations holdings, place of residence and place of work, geography as of 01/01/2026.
tableauEMP T6 - Employment by working status
| Working status | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| Altogether | 53 | 100,0 | 53 | 100,0 | 65 | 100,0 |
| Employee | 34 | 63,5 | 34 | 64,2 | 47 | 72,0 |
| including women | 10 | 19,1 | 14 | 26,4 | 8 | 12,2 |
| including part time jobs | 5 | 9,5 | 12 | 22,8 | 6 | 9,1 |
| Non-employee | 19 | 36,5 | 19 | 35,8 | 18 | 28,0 |
| including women | 4 | 7,7 | 4 | 7,5 | 7 | 10,7 |
| including part time jobs | 2 | 3,8 | 0 | 0,0 | 4 | 6,2 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations workplaces, geography as of 01/01/2026.
Characteristics of employment in the sense of the census in 2023
tableauACT T1 - Population aged 15 years or over having a job by status in 2023
| Employment status | Number | % | of which % part-time | of which % women |
|---|---|---|---|---|
| Altogether | 166 | 100,0 | 14,9 | 46,9 |
| Employees | 142 | 85,7 | 15,3 | 49,2 |
| Non-employees | 24 | 14,3 | 12,7 | 33,2 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauACT T2 - Status and employment conditions of 15 years or over by sex in 2023
| Employment status and conditions | Male | % | Female | % |
|---|---|---|---|---|
| Altogether | 88 | 100 | 78 | 100 |
| Employees | 72 | 82,0 | 70 | 89,8 |
| Tenured personnel and open-ended employment contracts | 62 | 70,7 | 60 | 77,2 |
| Others contracts (fixed-term employment contracts, temporary employment, assisted jobs, apprentice ship contract, raineeship) | 10 | 11,3 | 10 | 12,6 |
| Non-employees | 16 | 18,0 | 8 | 10,2 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2023
| Age | Male | of which % part-time | Female | of which % part-time |
|---|---|---|---|---|
| Altogether | 72 | 2,8 | 69 | 28,7 |
| 15 to 24 years old | 6 | 16,9 | 2 | 0,0 |
| 25 to 54 years old | 55 | 1,8 | 52 | 24,5 |
| 55 to 64 years old | 11 | 0,0 | 15 | 46,6 |
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
tableauACT G1 - Proportion of partial time employees aged 15 years or over by sex
| 2012 | 2017 | 2023 | |
|---|---|---|---|
| Male | 4,3 | 7,3 | 2,8 |
| Female | 28,6 | 42,7 | 28,2 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
graphiqueACT G1 - Proportion of partial time employees aged 15 years or over by sex

- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
| Work Area | 2012 | % | 2017 | % | 2023 | % |
|---|---|---|---|---|---|---|
| Altogether | 164 | 100 | 163 | 100 | 166 | 100 |
| Working in their residential zone | 30 | 18,1 | 30 | 18,6 | 22 | 13,2 |
| Working in another zone | 134 | 81,9 | 132 | 81,4 | 144 | 86,8 |
- Sources : Insee, RP2012, RP2017 and RP2023, main operations, geography as of 01/01/2026.
tableauACT G2 - Proportion of transports used to go to work in 2023
| Part | |
|---|---|
| None | 5,3 |
| Walking | 2,4 |
| Bicycle | 0,6 |
| Motorized two-wheeled vehicles | 1,2 |
| Car or truck | 90,5 |
| Public transports | 0,0 |
- Scope : workers aged 15 or over with a job.
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
graphiqueACT G2 - Proportion of transports used to go to work in 2023

- Scope : workers aged 15 or over with a job.
- Source : Insee, RP2023 main operation, geography as of 01/01/2026.
Births and Deaths of people with usual residence in the area, 2016-2025
tableauRFD G1 - Births and Deaths of people with usual residence in the area
| 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|
| Domiciled births | 4 | 5 | 6 | 9 | 4 | 2 | 5 | 2 | 5 | 6 |
| Domiciled deaths | 1 | 6 | 2 | 1 | 1 | 2 | 4 | 4 | 2 | 5 |
- Source: Insee, civil status statistics in geography as of 01/01/2026.
graphiqueRFD G1 - Births and Deaths of people with usual residence in the area

- Source: Insee, civil status statistics in geography as of 01/01/2026.
Household income and poverty in 2023
tableauREV T1 - Median standard of living and poverty rate in 2023
| Median standard of living and poverty rate | 2023 |
|---|---|
| Median standard of living (in euros) | 22 940 |
| Poverty rate at 60% of the median (in %) | s |
- Note : For reasons of statistical confidentiality (s) or missing data (m), charts and tables may be incomplete.
- Scope : Individuals belonging to tax households living in ordinary dwellings.
- Source : INSEE–DGFiP–Cnaf–Cnav–CCMSA, Localised Social and Fiscal File (Filosofi), geographic reference as of 01/01/2026.
Salaries and earned income in 2024
tableauSAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2024
| Altogether | Female | Male | |
|---|---|---|---|
| Managerial staff* | s | s | s |
| Intermediate professions | s | s | s |
| Employees | s | s | s |
| Workers | s | s | s |
| Altogether | s | s | s |
- * 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 work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers
- Source: Insee, All employees database, jobs at place of work by geography at 01/01/2026.
graphiqueSAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2024

- * 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 work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers
- Source: Insee, All employees database, jobs at place of work by geography at 01/01/2026.
tableauSAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2024
| Pay gap (%) | |
|---|---|
| Managerial staff* | |
| Intermediate professions | |
| Employees | |
| Workers | |
| Altogether |
- * 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 work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers
- Source: Insee, All employees database, jobs at place of work by geography at 01/01/2026.
graphiqueSAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2024

- * 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 work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers
- Source: Insee, All employees database, jobs at place of work by geography at 01/01/2026.
tableauSAL T1 - Average net monthly FTE salary (in euros) by age in 2024
| Age | Altogether | Female | Male |
|---|---|---|---|
| Less than 25 years old | s | s | s |
| 25 to 39 years old | s | s | s |
| 40 to 49 years old | s | s | s |
| 50 to 54 years old | s | s | s |
| 55 years old or older | s | s | s |
- Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
- Scope: Private-sector employees, including work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers
- Source: Insee, All employees database, jobs at place of work by geography at 01/01/2026.
tableauSAL G4 - Difference in average net monthly FTE pay between women and men by age in 2024
| Pay gap (%) | |
|---|---|
| Less than 25 years old | |
| 25 to 39 years old | |
| 40 to 49 years old | |
| 50 to 54 years old | |
| 55 years old or older |
- Note: Pay gap = (women's wages - men's wages) / men's wages.
- Scope: Private-sector employees, including work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers
- Source: Insee, All employees database, jobs at place of work by geography at 01/01/2026.
graphiqueSAL G4 - Difference in average net monthly FTE pay between women and men by age in 2024

- Note: Pay gap = (women's wages - men's wages) / men's wages.
- Scope: Private-sector employees, including work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers
- Source: Insee, All employees database, jobs at place of work by geography at 01/01/2026.
Establishment characteristics at the end of 2024
tableauRES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2024
| Sector of activity | Total | % | 0 employee | 1 to 9 employee(s) | 10 to 19 employees | 20 to 49 employees | 50 or more employees |
|---|---|---|---|---|---|---|---|
| Altogether | 9 | 100,0 | 0 | 8 | 0 | 1 | 0 |
| Agriculture, forestry and fishing | 3 | 33,3 | 0 | 3 | 0 | 0 | 0 |
| Industrial economy | 1 | 11,1 | 0 | 0 | 0 | 1 | 0 |
| Building industry | 3 | 33,3 | 0 | 3 | 0 | 0 | 0 |
| Trade, transport, various services | 1 | 11,1 | 0 | 1 | 0 | 0 | 0 |
| General government, education, healthcare, social action | 1 | 11,1 | 0 | 1 | 0 | 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 01/01/2026.
tableauRES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2024
| 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 | 45 | 100,0 | 16 | 0 | 29 | 0 | 0 |
| Agriculture, forestry and fishing | 5 | 11,1 | 5 | 0 | 0 | 0 | 0 |
| Industrial economy | 29 | 64,4 | 0 | 0 | 29 | 0 | 0 |
| Building industry | 4 | 8,9 | 4 | 0 | 0 | 0 | 0 |
| Trade, transport, various services | 3 | 6,7 | 3 | 0 | 0 | 0 | 0 |
| General government, education, healthcare, social action | 4 | 8,9 | 4 | 0 | 0 | 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 01/01/2026.
tableauRES G1 - Distribution of establishments by aggregate sector of activity at the end of 2024
| Part | |
|---|---|
| Agriculture, forestry and fishing | 33,3 |
| Industrial economy | 11,1 |
| Building industry | 33,3 |
| Trade, transport, various services | 11,1 |
| General government, education, healthcare, social action | 11,1 |
- 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 01/01/2026.
graphiqueRES G1 - Distribution of establishments by aggregate sector of activity at the end of 2024

- 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 01/01/2026.
tableauRES G2 - Distribution of establishments by workforce size at the end of 2024
| Part | |
|---|---|
| 50 or more employees | 0,0 |
| 20 to 49 employees | 11,1 |
| 10 to 19 employees | 0,0 |
| 1 to 9 employees | 88,9 |
| 0 employee | 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 01/01/2026.
graphiqueRES G2 - Distribution of establishments by workforce size at the end of 2024

- 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 01/01/2026.
tableauRES T3 - Establishments according to the spheres of the economy at the end of 2024
| Economic sphere | Establishments | Employees | ||
|---|---|---|---|---|
| Number | % | Number | % | |
| Altogether | 9 | 100,0 | 45 | 100,0 |
| Productive sphere | 5 | 55,6 | 37 | 82,2 |
| of which public domain | 0 | 0,0 | 0 | 0,0 |
| Presential sphere | 4 | 44,4 | 8 | 17,8 |
| of which public domain | 2 | 22,2 | 5 | 11,1 |
- 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 01/01/2026.
tableauRES T5 - Individual employers in 2024
| Individual employers | ||
|---|---|---|
| Number | % | |
| Altogether | 28 | 100,0 |
| Employers of childminders | 16 | 57,1 |
| Employers of other employees | 12 | 42,9 |
- Scope: private employers.
- Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2026.
Business and establishment set-ups in 2025
tableauDEN T1 - Business set-ups by sector of activity in 2025
| Sector of activity | Company set-ups (Number) | Of which sole proprietorships (%) | Of which SARL (%) | Of which SAS (%) | Of which other societies (%) |
|---|---|---|---|---|---|
| Altogether | 4 | 75,0 | 0,0 | 25,0 | 0,0 |
| Industry | 0 | ||||
| Construction | 1 | 100,0 | 0,0 | 0,0 | 0,0 |
| Wholesale and retail trade/transports/accommodations and food service activities | 1 | 100,0 | 0,0 | 0,0 | 0,0 |
| Information/communication | 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 | 1 | 100,0 | 0,0 | 0,0 | 0,0 |
| Public administration/education/healthcare/social work | 0 | ||||
| Other service activities | 0 |
- Scope: market activities outside agriculture.
- Source: Insee, Business Demography Information System (SIDE) in geography at 01/01/2026.
tableauDEN G1 - Business set-ups
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Altogether | 1 | 4 | 1 | 1 | 0 | 2 | 1 | 1 | 1 | 2 | 1 | 3 | 1 | 4 |
| Sole proprietorship | 0 | 4 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 0 | 3 |
| SARL | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| SAS | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| Other societies | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
- Scope: market activities outside agriculture.
- Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2026.
graphiqueDEN G1 - Business set-ups

- Scope: market activities outside agriculture.
- Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2026.
tableauDEN T2 - Establishment set-ups by economic sectors in 2025
| Sector of activity | Altogether | % |
|---|---|---|
| Altogether | 6 | 100,0 |
| Industry | 0 | 0,0 |
| Construction | 2 | 33,3 |
| Wholesale and retail trade/transports/accommodations and food service activities | 2 | 33,3 |
| Information/communication | 0 | 0,0 |
| Finance and insurance activities | 1 | 16,7 |
| Real estate activities | 0 | 0,0 |
| Professional/scientific/technical activites/administrative and support service activities | 1 | 16,7 |
| Public administration/education/healthcare/social work | 0 | 0,0 |
| Other service activities by the number of business creations including free lancers | 0 | 0,0 |
- Scope: market activities outside agriculture.
- Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2026.
tableauDEN G2 - Establishment set-ups
| 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Establishment set-ups | 3 | 5 | 1 | 1 | 1 | 4 | 1 | 2 | 2 | 3 | 1 | 3 | 1 | 6 |
- Scope: market activities outside agriculture.
- Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2026.
graphiqueDEN G2 - Establishment set-ups

- Scope: market activities outside agriculture.
- Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2026.
Number of legal entities and establishments in 2024
tableauDEN T3 - Number of economically active legal units by economic sector in 2024
| Sector of activity | Number | % |
|---|---|---|
| Altogether | 19 | 100,0 |
| Industry | 0 | 0,0 |
| Construction | 5 | 26,3 |
| Wholesale and retail trade/transports/accommodations and food service activities | 7 | 36,8 |
| Information/communication | 0 | 0,0 |
| Finance and insurance activities | 0 | 0,0 |
| Real estate activities | 3 | 15,8 |
| Professional/scientific/technical activites/administrative and support service activities | 1 | 5,3 |
| Public administration/education/human health/social work | 0 | 0,0 |
| Other service activities | 3 | 15,8 |
- Scope: market activities outside agriculture.
- Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2026.
tableauDEN T4 - Number of economically active establishments by economic sector in 2024
| Sector of activity | Number | % |
|---|---|---|
| Altogether | 20 | 100,0 |
| Industry | 1 | 5,0 |
| Construction | 5 | 25,0 |
| Wholesale and retail trade/transports/accommodations and food service activities | 7 | 35,0 |
| Information/communication | 0 | 0,0 |
| Finance and insurance activities | 0 | 0,0 |
| Real estate activities | 3 | 15,0 |
| Professional/scientific/technical activites/administrative and support service activities | 1 | 5,0 |
| Public administration/education/human health/social work | 0 | 0,0 |
| Other service activities | 3 | 15,0 |
- Scope: market activities outside agriculture.
- Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2026.
Selection of facilities and services for the population in 2025
tableauEQUIP T1 - Number of retails trades in 2025
| Retail trade | Number |
|---|---|
| Large retail outlet (hypermarket, supermarket) | 0 |
| Grocery store, convenience store | 0 |
| Bakery and pastry shop | 0 |
| Service station | 0 |
| Electric vehicle charging station | 0 |
| Hair salon | 1 |
- Source : Insee, Permanent database of facilities (BPE 2025), geography as of 01/01/2026.
tableauEQUIP T2 - Number of healthcare professionals and pharmacies in 2025
| Healthcare professionals and pharmacies | Number |
|---|---|
| General practitioner | 0 |
| Dentist | 0 |
| Physiotherapist | 0 |
| Nurse | 0 |
| Psychologist | 0 |
| Pharmacy | 0 |
- Source : Insee, Permanent database of facilities (BPE 2025), geography as of 01/01/2026.
tableauEQUIP T3 - Number of educationals institutions or libraries in 2025
| Educational or cultural institutions | Number |
|---|---|
| Nursery and primary school | 0 |
| Middle school | 0 |
| General and/or technological upper secondary school | 0 |
| Vocational or agricultural upper secondary school | 0 |
| Library | 0 |
- Source : Insee, Permanent database of facilities (BPE 2025), geography as of 01/01/2026.
Tourism in 2026
tableauTOU T1 - Number and capacity of hotels on the 1st of January 2026
| 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 01/01/2026.
tableauTOU T2 - Number and capacity of campsites on the 1st of January 2026
| 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 01/01/2026.
tableauTOU T3 - Number of other tourist collective accommodations on the 1st of January 2026
| 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 01/01/2026.
Voters in 2026
tableauREU - 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 | Municipal election 2026 |
|---|---|---|---|---|
| 294 | 305 | 310 | 302 | 313 |
- Note : The data on voters is extracted at the close of registration for the mentioned election.
- Source : Insee, Unique electoral register in geography as of 01/01/2025.
Sources
Warning : In order to ensure the relevance of the published indicators, the 2023 release of
data from the Filosofi source is more limited than for previous vintages.
The 2021 data remain available through the product Household Income and Poverty in 2021.
Given the methodological changes introduced, the 2023 indicators derived from the
Filosofi 2 system are not directly comparable with the indicators derived from Filosofi
(2012–2021 vintages).
08/06/2026 – Supplementary release of poverty rates and dissemination geography :
A technical error resulted in the non-publication of the poverty rate for a significant
number of territories, even though this indicator should have been published.
This has now been corrected. Other previously released data remain correct and unaffected.
Furthermore, data from the Filosofi 2 framework are now directly established according
to the geographical reference system in force as of January 1st, 2026.
A general presentation of the sources is available in the "Definitions, Methods and Quality" section of the insee.fr site:
Localised disposable income system (Filosofi)
Business Demography Information System (Side)
Pay and salaried employment localized file (Flores)
Définitions
All the definitions of the concepts used are available in the Definitions section
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 covers individuals belonging to ordinary tax households whose disposable income is positive or zero.
The share of taxed households is calculated on the basis of households whose declared income is positive or zero.
All employees databases (BTS)
The scope covers private-sector employees, including work-study students, interns, and those on subsidized employment contracts, excluding agricultural workers and private employers.
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 field 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). They are offered at municipal level for France (excluding Mayotte).
The statistics concerning the outdoor hotel industry relate to the campsites offering sites for passing customers intended for tourists not electing domicile there, as well as on campsites offering pitches rented year-round, that is to say to a single customer for the entire opening period of the campsite.
Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France.
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 2012, 2017, 2023 : dissemination in the municipalities of France outside Mayotte in geography on 2026 (projection of initial production in geography 2014, 2019, 2025) ;
Vital statistics: distribution to all municipalities in France in geography as of 2026 (projection of initial production in geography 2015 to 2025) ;
Localized Social and Fiscal File (Filosofi) : Data are published according to the
geographical reference in force
on 1 January 2026.
Data are not available for the municipalities (communes) of Celles (15031), Chalinargues (15035), Chavagnac (15047), and Sainte-Anastasie (15171). They are included in the data for the municipality of Neussargues-Moissac (15141).
For the municipalities of L'Oie (85165) and Sainte-Florence (85212), and for the urban unit (unité urbaine) of Sainte-Florence (85139) which they form, data are respectively integrated into the municipality of Essarts-en-Bocage (85084) and the urban unit of Essarts-en-Bocage (85213).
Data for the municipality of Suzan (09304), which constitutes an enclave, are integrated into those of the municipality of La Bastide-de-Sérou (09042).
Data relating to Île-de-Sein and Île-de-Molène are not available.
All employees databases (BTS), file of employees at the place of residence: dissemination in the municipalities of France respecting specific thresholds, in geography as of 01/01/2026 (projection of initial production in geography 2024) ;
Localized Compensation and Employee Employment File (Flores): in geography as of 01/01/2026 (projection of the initial production in geography as of 01/01/2024) ;
Business Demography Information System (Side) - Business and establishment set-ups: distribution to all municipalities in France, in geography as of 01/01/2026 (projection of initial production in geography 2012 to 2025) ;
Business Demography Information System (Side) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2026 (projection of initial production in geography 2014 to 2024) ;
Permanent database of facilities: coverage across all municipalities in France, geography as of 01/01/2026 (projection of initial production in geography 2025) ;
Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2026 (projection of initial production in geography 2025) ;
Insee, Single electoral register in geography as of 01/01/2025 (projection of initial production in geography 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 thresholds and statistical confidentiality of the Localised Social and Fiscal Database (Filosofi).
Data from Filosofi are subject to statistical and fiscal confidentiality.
Dissemination thresholds are based on the fiscal population (i.e. the number of individuals belonging to tax households). These thresholds are defined for disposable income indicators using the total number of individuals in the area whose standard of living is positive or zero.
No statistics are released for very small areas (fewer than 100 individuals). Only the median disposable income per consumption unit (or standard of living) is released for slightly larger areas (100 individuals or more). Other indicators are released for larger areas (2,000 individuals or more).
Indicators may be broken down by socio-demographic characteristics provided that the sub-population considered includes at least 500 individuals. For the poverty rate, it is also necessary to ensure compliance with fiscal confidentiality rules, namely that there are at least 11 poor households and 11 non-poor households.
Indicators are rounded in order to ensure a minimal level of uncertainty, thereby preserving secondary statistical confidentiality and avoiding any impression of excessive precision. For poverty rates, the rounding depends on the size of the population in the area (to the nearest odd integer for areas with fewer than 2,000 individuals; to the nearest whole number for areas with 2,000 to fewer than 20,000 individuals; and to one decimal place for areas with more than 20,000 individuals). In addition, when rates fall within the ranges 0%–3% and 97%–100%, the values are truncated to the thresholds of 3% and 97%, respectively.
Amounts in euros are rounded to the nearest ten, while other income indicators are rounded to one decimal place.
Shares of income components (as well as sub-component shares) are published for areas with 2,000 individuals or more, provided that the component (or sub-component, respectively) is non-zero for at least 11 tax-based households.
If a single component (or sub-component, respectively) does not meet this threshold, a second component (or sub-component, respectively) is also suppressed.
Suppression also applies to at least two sub-components when their combined sum is lower than the encompassing share before rounding.
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 and are not available for Mayotte.
All the data presented takes into account all the creation of new municipalities (mergers), prior to the indicated geography.
Example: On January 1, 2024, the new municipality of Oullins-Pierre-Bénite (69149) is created, in place of the municipalities of Oullins (69149) and Pierre-Bénite (69152). All data published in the geographical area as of January 1, 2025, including data prior to 2024, correspond to the boundaries of the new municipality of Oullins-Pierre-Bénite.
However, in the case of the re-establishment of communes (splitting of communes), it is recommended to study the affected communes as a whole, rather than individually, to ensure the accuracy and comparability over time of the data. Indeed, for the communes concerned, depending on the initial geography of data production, some data may be unavailable or correspond to the boundaries of the commune before re-establishment.
Example: On January 1, 2017, the new commune of Neussargues en Pinatelle (15141) was created replacing the communes of Celles (15031), Chalinargues (15035), Chavagnac (15047), Neussargues-Moissac (15141), and Sainte-Anastasie (15171). The five communes were re-established on January 1, 2025. The data initially produced using the 2017–2024 geography refers to the boundaries of the new commune and therefore does not allow for the deduction of all data for the five re-established communes as of January 1, 2025. It is therefore recommended to study these five communes as a whole to ensure the accuracy and comparability of the data over time.
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.