Register record·API·FR·MUNICIPALITYVERIFIED · checked 2d ago
[
[Housing Observatory] Long-term vacancy of private housing stock at IRIS level (LOVAC)[Observatoire habitat] Vacance de longue durée des logements du parc privé à l'Iris (LOVAC)
[Observatoire habitat] Vacance de longue durée des logements du parc privé à l'Iris (LOVAC)[Housing Observatory] Long-term vacancy of private housing stock at IRIS level (LOVAC)
This dataset is part of LOVAC, a data processing system created under France's national plan to combat housing vacancy. Launched in 2020, it provides local authorities and decentralized state services with tools to identify and characterize vacant dwellings in the private housing stock, at the IRIS (small statistical area) level, in order to support solutions for bringing such properties back onto the market. This particular resource covers the Aix-Marseille-Provence metropolitan area and is published by Métropole Aix-Marseille-Provence.》Le traitement LOVAC a été créé dans le cadre du plan national de lutte contre les logements vacants. Lancé en 2020, il vise notamment à outiller les collectivités et services déconcentrés dans le repérage et la caractérisation des logements vacants afin de proposer des solutions de remise sur le...
Trust score
How is this computed?54
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Weighted across five axes. Tap a ring for what it measures.
Data schema (10 fields)
Filterable via the API (8)
iriscode_irisnom_iristyp_iristx_lvmillesimecommunecodeinsee
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| irisCode IRIS (court) | text | — |
| code_irisCode iris | text | — |
| nom_irisNom de l'IRIS | text | — |
| typ_irisType d'IRIS | text | — |
| tx_lvTaux de vacance à l'IRIS | double | — |
| millesimeMillésime | text | — |
| communeCommune | text | — |
| codeinseeCode commune INSEE | text | — |
| geo_shapeShape | geo_shape | — |
| geo_point_2dCoordinates | geo_point_2d | — |
Schema captured from opendatasoft 6 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
=
Sample data (5 records)
Record 1iris: 0505 · tx_lv: 13.16
{
"iris": "0505",
"tx_lv": 13.16,
"commune": "Marseille 1er Arrondissement",
"nom_iris": "Saint-Charles-Gare",
"typ_iris": "A",
"code_iris": "132010505",
"codeinsee": "13201",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
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5.383888192775927,
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],
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5.383910656335815,
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],
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5.384240778140377,
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],
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5.3842787636903,
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],
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5.385068102448098,
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],
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5.385848391271931,
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],
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5.385960592527092,
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],
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5.38458113889542,
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5.3808277982893875,
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],
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5.380553899453377,
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5.380216916478032,
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],
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5.380067318969249,
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],
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5.379988712389673,
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],
[
5.3799290923567975,
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],
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5.379913533096208,
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],
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5.379549764679583,
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5.379494039979038,
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5.379453769950768,
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],
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5.379404918824231,
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],
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5.379332972404425,
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],
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5.379220910322166,
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5.379116009206195,
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],
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5.379215987066372,
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],
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5.381049513294067,
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],
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5.382807400549948,
43.30502605268247
],
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5.383888192775927,
43.30565290695124
]
]
]
},
"properties": {}
},
"millesime": "2026",
"geo_point_2d": {
"lat": 43.303349667039015,
"lon": 5.382462159853415
}
}Record 2iris: 0407 · tx_lv: 2.59
{
"iris": "0407",
"tx_lv": 2.59,
"commune": "Marseille 9e Arrondissement",
"nom_iris": "Martheline-La Soude",
"typ_iris": "H",
"code_iris": "132090407",
"codeinsee": "13209",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.400305305413223,
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],
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5.400413441654896,
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5.400502456514326,
43.24453580573174
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5.401079421342638,
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],
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5.4011332945334996,
43.245288531622734
],
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5.400025304430916,
43.24586482913474
],
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5.400144263064636,
43.24752618229333
],
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5.400159695857052,
43.24754203828553
],
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5.400669279196598,
43.24730302465382
],
[
5.403714290915351,
43.24592586588969
],
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5.405152352104821,
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5.405439008404237,
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5.405510741584168,
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5.405541332436714,
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5.405619981142068,
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5.4057720885294565,
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5.405991706275789,
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[
5.406089552235608,
43.243576306236506
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5.405897099875791,
43.24344830269946
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5.4054435733370285,
43.24314072673558
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5.405309408143853,
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5.405154591472575,
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5.404764918944583,
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5.4045816251848775,
43.24216008833952
],
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5.404166172442116,
43.24170226938799
],
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5.4040330251198565,
43.24157924204937
],
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5.403772421947164,
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],
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5.403418247199082,
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],
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5.403403494798274,
43.242158420160884
],
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5.4032987499379885,
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],
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5.403045358755289,
43.24242647451348
],
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5.402644810479661,
43.24271077042413
],
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5.402266374611046,
43.242979273852555
],
[
5.401773122571938,
43.243328624869854
],
[
5.4011043413975495,
43.24377907075056
],
[
5.400369924900368,
43.24427956840646
],
[
5.400305305413223,
43.24432420211582
]
]
]
},
"properties": {}
},
"millesime": "2026",
"geo_point_2d": {
"lat": 43.24454425683873,
"lon": 5.402932191247681
}
}Record 3iris: 0102 · tx_lv: 1.92
{
"iris": "0102",
"tx_lv": 1.92,
"commune": "Gémenos",
"nom_iris": "Est",
"typ_iris": "H",
"code_iris": "130420102",
"codeinsee": "13042",
"geo_shape": "[large value omitted]",
"millesime": "2026",
"geo_point_2d": {
"lat": 43.30115173627869,
"lon": 5.650198150053971
}
}Record 4iris: 0102 · tx_lv: 3.39
{
"iris": "0102",
"tx_lv": 3.39,
"commune": "Marseille 5e Arrondissement",
"nom_iris": "Sainte-Cécile",
"typ_iris": "H",
"code_iris": "132050102",
"codeinsee": "13205",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
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5.398954087660467,
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],
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5.398775483572037,
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5.398716643187662,
43.286097712271676
],
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5.398677988820357,
43.285968074462
],
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5.398447940062875,
43.28594618187135
],
[
5.3979265997363095,
43.28588125505898
],
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5.397261928632213,
43.28580600618735
],
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5.396437852729844,
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5.396199190321587,
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[
5.395958771668814,
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5.395493540273688,
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5.395205892167715,
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5.394888777234206,
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5.394840852986278,
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5.395096277638028,
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5.396593738942513,
43.289351418754485
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5.397063417992158,
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5.397249059673166,
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5.39785022574996,
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5.397452946058292,
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5.398197551229267,
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5.398220713924825,
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5.398239922147355,
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5.39825416937424,
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5.39827490445804,
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5.399356706550044,
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5.399308368907212,
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},
"properties": {}
},
"millesime": "2026",
"geo_point_2d": {
"lat": 43.28805900135549,
"lon": 5.397438488801093
}
}Record 5iris: 0303 · tx_lv: 1.3
{
"iris": "0303",
"tx_lv": 1.3,
"commune": "Marseille 4e Arrondissement",
"nom_iris": "Guigou",
"typ_iris": "H",
"code_iris": "132040303",
"codeinsee": "13204",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
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5.398989471256496,
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5.398976779026509,
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5.398083874321419,
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5.396445902818774,
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5.396413805961118,
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5.3963362215574575,
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],
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5.396212510293179,
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5.396170376350065,
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5.3926902357013535,
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5.398952053663989,
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5.399178113089276,
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5.399029045054245,
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5.398995594614142,
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5.398989471256496,
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},
"properties": {}
},
"millesime": "2026",
"geo_point_2d": {
"lat": 43.314410103015696,
"lon": 5.395475579318517
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/amest_hab_lovac_stat_iris_amp
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/amest_hab_lovac_stat_iris_amp/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
5 000 req/day
per ipmeasured
observed 6 days ago
Dataset
Volume & freshness
Records
779
Last upstream update
4 months ago
2026-05-20
License
No license declared upstream.
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Source: opendatasoft
Machine-readable & source
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