Digital fragility risk indicatorsLes indicateurs de risque de fragilité numérique

Name: Digital fragility risk indicators
Creator: opendatasoft

Les indicateurs de risque de fragilité numériqueDigital fragility risk indicators

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

This dataset from the Strasbourg open data portal presents an index measuring the risk of digital fragility across the territory. It aims to reveal the likelihood that a significant share of the targeted population within a given area faces digital exclusion or difficulty accessing digital tools and services. The indicator helps identify zones where risk is concentrated, supporting local authorities and public services in targeting digital inclusion policies, outreach programs, and resource allocation toward populations most likely to experience barriers to digital access and usage.L'indice de risque de fragilité numérique Objectif : La construction d’un indicateur de risque de fragilité numérique a pour objectif de : Révéler la probabilité que sur un territoire, une partie significative de la population ciblée se trouve en situation de fragilité numérique Identifier des zo...

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How is this computed?

fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (70 fields)

Filterable via the API (68)

sourceannee_refdecoupageid_territoirelib_comlib_territoirezonecommentairesid_comind_a_infoind_a_equipind_u_adminind_u_numind_globalsc_a_infosc_a_equipsc_u_adminsc_u_numsc_globalp_popp_pop1529p_pop65pp_pop1564p_chom1564c_menc_menpseulc_menfammonop_nscol15pp_nscol15p_diplminlocauxffthsurf_m2surf_couv4g_m2p_pop_immc_menfammono_txc_menpseul_txp_pop1529_txp_chom1564_txp_pop65p_txp_nscol15p_diplmin_txdisp_medcouv4g_txffthloc_txp_pop_imm_txp_pop_emsp_pop1529_emsp_pop65p_emsp_pop1564_emsp_chom1564_emsc_men_emsc_menpseul_emsc_menfammono_emsp_nscol15p_emsp_nscol15p_diplmin_emsdisp_med_emssurf_m2_emssurfcouv4g_m2_emsp_pop_imm_emsc_menfammono_tx_emsc_menpseul_tx_emsp_pop1529_tx_emsp_chom1564_tx_emsp_pop65p_tx_emsp_nscol15p_diplmin_tx_emscouv4g_tx_emsffthloc_tx_emsp_pop_imm_tx_emsid_unique

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	—
—	geo_shapeShape	geo_shape	—
—	source	text	source principale
—	annee_refAnnee ref	text	année de référence de la source principale
—	decoupage	text	découpage territorial
—	id_territoireId territoire	text	identifiant du territoire
—	lib_comLib com	text	libellé de la commune
—	lib_territoireLib territoire	text	libellé du territoire
—	zone	text	description de la zone
—	commentaires	text	commentaires
100%	id_comId com	text	identifiant de la commune
91.5%	ind_a_infoInd a info	text	indicateur de risque pour l'accès à l'information
91.5%	ind_a_equipInd a equip	text	indicateur de risque pour l'accès à l'équipement
91.5%	ind_u_adminInd u admin	text	indicateur de risque pour l'usage de compétences administratives
91.5%	ind_u_numInd u num	text	indicateur de risque pour l'usage de compétences numériques
91.5%	ind_globalInd global	text	indicateur de risque de fragilité globale
100%	sc_a_infoSc a info	text	score du risque pour l'accès à l'information
100%	sc_a_equipSc a equip	text	score du risque pour l'accès à l'équipement
100%	sc_u_adminSc u admin	text	score du risque pour l'usage de compétences administratives
100%	sc_u_numSc u num	text	score du risque pour l'usage de compétences numériques
100%	sc_globalSc global	text	score du risque de fragilité globale
100%	p_popP pop	text	population
100%	p_pop1529P pop1529	text	population 15-29 ans
100%	p_pop65pP pop65p	text	population 65 ans et plus
100%	p_pop1564P pop1564	text	population 15-64 ans
100%	p_chom1564P chom1564	text	nombre de chômeurs 15-64 ans
100%	c_menC men	text	nombre de ménages
100%	c_menpseulC menpseul	text	nombre de ménages d'une personne
100%	c_menfammonoC menfammono	text	nombre de ménages en famille monoparentale
100%	p_nscol15pP nscol15p	text	nombre de 15 ans ou plus non scolarisés
100%	p_nscol15p_diplminP nscol15p diplmin	text	nombre de 15 ans ou plus non scolarisés et sans diplôme ou diplôme minimal (brevet,..)
100%	locaux	text	nombre de locaux
100%	ffth	text	nombre de locaux FTTH (fibre optique à domicile)
100%	surf_m2Surf m2	text	surface (m2)
100%	surf_couv4g_m2Surf couv4g m2	text	surface de couverture 4G (m2)
100%	p_pop_immP pop imm	text	population immigrée
99%	c_menfammono_txC menfammono tx	text	part des ménages en famille monoparentale (%)
99%	c_menpseul_txC menpseul tx	text	part des ménages d'une personne (%)
99%	p_pop1529_txP pop1529 tx	text	population 15-29 ans (%)
99%	p_chom1564_txP chom1564 tx	text	part des chômeurs 15-64 ans (%)
99%	p_pop65p_txP pop65p tx	text	population 65 ans et plus (%)
99%	p_nscol15p_diplmin_txP nscol15p diplmin tx	text	part des 15 ans ou plus non scolarisés et sans diplôme ou diplôme minimal (brevet,..) (%)
100%	disp_medDisp med	text	revenu disponible annuel médian par unité de consommation (€)
100%	couv4g_txCouv4g tx	text	couverture 4G (%)
100%	ffthloc_txFfthloc tx	text	locaux FFTH (fibre optique à domicile) (%)
99%	p_pop_imm_txP pop imm tx	text	population immigrée (%)
100%	p_pop_emsP pop ems	text	population - EMS
100%	p_pop1529_emsP pop1529 ems	text	population 15-29 ans - EMS
100%	p_pop65p_emsP pop65p ems	text	population 65 ans et plus - EMS
100%	p_pop1564_emsP pop1564 ems	text	population 15-64 ans - EMS
100%	p_chom1564_emsP chom1564 ems	text	nombre de chômeurs 15-64 ans - EMS
100%	c_men_emsC men ems	text	nombre de ménages - EMS
100%	c_menpseul_emsC menpseul ems	text	nombre de ménages d'une personne - EMS
100%	c_menfammono_emsC menfammono ems	text	nombre de ménages en famille monoparentale - EMS
100%	p_nscol15p_emsP nscol15p ems	text	nombre de 15 ans ou plus non scolarisés - EMS
100%	p_nscol15p_diplmin_emsP nscol15p diplmin ems	text	nombre de 15 ans ou plus non scolarisés et sans diplôme ou diplôme minimal (brevet,..) - EMS
100%	disp_med_emsDisp med ems	text	revenu disponible annuel médian par unité de consommation (€) - EMS
100%	surf_m2_emsSurf m2 ems	text	surface (m2) - EMS
100%	surfcouv4g_m2_emsSurfcouv4g m2 ems	text	surface de couverture 4G (m2) - EMS
100%	p_pop_imm_emsP pop imm ems	text	population immigrée - EMS
—	c_menfammono_tx_emsC menfammono tx ems	text	part des ménages en famille monoparentale (%) - EMS
—	c_menpseul_tx_emsC menpseul tx ems	text	part des ménages d'une personne (%) - EMS
—	p_pop1529_tx_emsP pop1529 tx ems	text	population 15-29 ans (%) - EMS
—	p_chom1564_tx_emsP chom1564 tx ems	text	part des chômeurs 15-64 ans (%) - EMS
—	p_pop65p_tx_emsP pop65p tx ems	text	population 65 ans et plus (%) - EMS
—	p_nscol15p_diplmin_tx_emsP nscol15p diplmin tx ems	text	part des 15 ans ou plus non scolarisés et sans diplôme ou diplôme minimal (brevet,..) (%) - EMS
—	couv4g_tx_emsCouv4g tx ems	text	couverture 4G (%) - EMS
—	ffthloc_tx_emsFfthloc tx ems	text	locaux FFTH (fibre optique à domicile) (%) - EMS
—	p_pop_imm_tx_emsP pop imm tx ems	text	population immigrée (%) - EMS
—	id_uniqueId unique	text	Identifiant unique

Schema captured from opendatasoft 6 days ago.

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Sample data (5 records)

Record 1ffth: 3758 · zone: —

{
  "ffth": "3758",
  "zone": null,
  "c_men": "1433",
  "p_pop": "3289",
  "id_com": "67118",
  "locaux": "3891",
  "source": "RP INSEE, 2017",
  "lib_com": "Eckbolsheim",
  "surf_m2": "2031177",
  "disp_med": "23810",
  "p_pop65p": "489",
  "sc_u_num": "79",
  "annee_ref": "2017",
  "c_men_ems": "228569",
  "couv4g_tx": "100",
  "decoupage": "IRIS",
  "geo_shape": "[large value omitted]",
  "id_unique": "12",
  "ind_u_num": "2",
  "p_pop1529": "571",
  "p_pop1564": "2171",
  "p_pop_ems": "494089",
  "p_pop_imm": "328",
  "sc_a_info": "82",
  "sc_global": "78",
  "c_menpseul": "486",
  "ffthloc_tx": "97",
  "ind_a_info": "2",
  "ind_global": "1",
  "p_chom1564": "164",
  "p_nscol15p": "2430",
  "sc_a_equip": "86",
  "sc_u_admin": "66",
  "ind_a_equip": "1",
  "ind_u_admin": "1",
  "p_pop65p_tx": "14.9",
  "surf_m2_ems": "339849510",
  "c_menfammono": "113",
  "commentaires": null,
  "disp_med_ems": "20450",
  "geo_point_2d": {
    "lat": 48.5899125559,
    "lon": 7.68207658621
  },
  "p_pop1529_tx": "17.4",
  "p_pop65p_ems": "80507",
  "p_pop_imm_tx": "10.0",
  "c_menpseul_tx": "33.9",
  "couv4g_tx_ems": "100",
  "id_territoire": "671180101",
  "p_chom1564_tx": "7.5",
  "p_pop1529_ems": "115725",
  "p_pop1564_ems": "328457",
  "p_pop_imm_ems": "85458",
  "c_menpseul_ems": "95345",
  "ffthloc_tx_ems": "77",
  "lib_territoire": "Eckbolsheim-nord",
  "p_chom1564_ems": "36712",
  "p_nscol15p_ems": "339777",
  "surf_couv4g_m2": "2031177",
  "c_menfammono_tx": "7.9",
  "p_pop65p_tx_ems": "16.3",
  "c_menfammono_ems": "21982",
  "p_pop1529_tx_ems": "23.4",
  "p_pop_imm_tx_ems": "17.3",
  "c_menpseul_tx_ems": "41.7",
  "p_chom1564_tx_ems": "11.2",
  "surfcouv4g_m2_ems": "339791901",
  "p_nscol15p_diplmin": "316",
  "c_menfammono_tx_ems": "9.6",
  "p_nscol15p_diplmin_tx": "13.0",
  "p_nscol15p_diplmin_ems": "67062",
  "p_nscol15p_diplmin_tx_ems": "19.7"
}

Record 2ffth: 3758 · zone: —

{
  "ffth": "3758",
  "zone": null,
  "c_men": "1580",
  "p_pop": "3568",
  "id_com": "67118",
  "locaux": "3891",
  "source": "RP INSEE, 2017",
  "lib_com": "Eckbolsheim",
  "surf_m2": "3329477",
  "disp_med": "23810",
  "p_pop65p": "738",
  "sc_u_num": "97",
  "annee_ref": "2017",
  "c_men_ems": "228569",
  "couv4g_tx": "100",
  "decoupage": "IRIS",
  "geo_shape": "[large value omitted]",
  "id_unique": "13",
  "ind_u_num": "2",
  "p_pop1529": "509",
  "p_pop1564": "2217",
  "p_pop_ems": "494089",
  "p_pop_imm": "257",
  "sc_a_info": "89",
  "sc_global": "79",
  "c_menpseul": "491",
  "ffthloc_tx": "97",
  "ind_a_info": "2",
  "ind_global": "1",
  "p_chom1564": "150",
  "p_nscol15p": "2673",
  "sc_a_equip": "86",
  "sc_u_admin": "54",
  "ind_a_equip": "1",
  "ind_u_admin": "1",
  "p_pop65p_tx": "20.7",
  "surf_m2_ems": "339849510",
  "c_menfammono": "157",
  "commentaires": null,
  "disp_med_ems": "20450",
  "geo_point_2d": {
    "lat": 48.5736575232,
    "lon": 7.68234624712
  },
  "p_pop1529_tx": "14.3",
  "p_pop65p_ems": "80507",
  "p_pop_imm_tx": "7.2",
  "c_menpseul_tx": "31.1",
  "couv4g_tx_ems": "100",
  "id_territoire": "671180102",
  "p_chom1564_tx": "6.8",
  "p_pop1529_ems": "115725",
  "p_pop1564_ems": "328457",
  "p_pop_imm_ems": "85458",
  "c_menpseul_ems": "95345",
  "ffthloc_tx_ems": "77",
  "lib_territoire": "Eckbolsheim-sud",
  "p_chom1564_ems": "36712",
  "p_nscol15p_ems": "339777",
  "surf_couv4g_m2": "3329477",
  "c_menfammono_tx": "9.9",
  "p_pop65p_tx_ems": "16.3",
  "c_menfammono_ems": "21982",
  "p_pop1529_tx_ems": "23.4",
  "p_pop_imm_tx_ems": "17.3",
  "c_menpseul_tx_ems": "41.7",
  "p_chom1564_tx_ems": "11.2",
  "surfcouv4g_m2_ems": "339791901",
  "p_nscol15p_diplmin": "349",
  "c_menfammono_tx_ems": "9.6",
  "p_nscol15p_diplmin_tx": "13.1",
  "p_nscol15p_diplmin_ems": "67062",
  "p_nscol15p_diplmin_tx_ems": "19.7"
}

Record 3ffth: 3346 · zone: —

{
  "ffth": "3346",
  "zone": null,
  "c_men": "1685",
  "p_pop": "4037",
  "id_com": "67152",
  "locaux": "4063",
  "source": "RP INSEE, 2017",
  "lib_com": "Geispolsheim",
  "surf_m2": "14092054",
  "disp_med": "24000",
  "p_pop65p": "817",
  "sc_u_num": "98",
  "annee_ref": "2017",
  "c_men_ems": "228569",
  "couv4g_tx": "100",
  "decoupage": "IRIS",
  "geo_shape": "[large value omitted]",
  "id_unique": "18",
  "ind_u_num": "3",
  "p_pop1529": "592",
  "p_pop1564": "2520",
  "p_pop_ems": "494089",
  "p_pop_imm": "193",
  "sc_a_info": "63",
  "sc_global": "74",
  "c_menpseul": "436",
  "ffthloc_tx": "82",
  "ind_a_info": "1",
  "ind_global": "1",
  "p_chom1564": "145",
  "p_nscol15p": "3056",
  "sc_a_equip": "92",
  "sc_u_admin": "47",
  "ind_a_equip": "2",
  "ind_u_admin": "1",
  "p_pop65p_tx": "20.2",
  "surf_m2_ems": "339849510",
  "c_menfammono": "104",
  "commentaires": null,
  "disp_med_ems": "20450",
  "geo_point_2d": {
    "lat": 48.5072727597,
    "lon": 7.64434447106
  },
  "p_pop1529_tx": "14.7",
  "p_pop65p_ems": "80507",
  "p_pop_imm_tx": "4.8",
  "c_menpseul_tx": "25.9",
  "couv4g_tx_ems": "100",
  "id_territoire": "671520101",
  "p_chom1564_tx": "5.7",
  "p_pop1529_ems": "115725",
  "p_pop1564_ems": "328457",
  "p_pop_imm_ems": "85458",
  "c_menpseul_ems": "95345",
  "ffthloc_tx_ems": "77",
  "lib_territoire": "Ouest",
  "p_chom1564_ems": "36712",
  "p_nscol15p_ems": "339777",
  "surf_couv4g_m2": "14092054",
  "c_menfammono_tx": "6.2",
  "p_pop65p_tx_ems": "16.3",
  "c_menfammono_ems": "21982",
  "p_pop1529_tx_ems": "23.4",
  "p_pop_imm_tx_ems": "17.3",
  "c_menpseul_tx_ems": "41.7",
  "p_chom1564_tx_ems": "11.2",
  "surfcouv4g_m2_ems": "339791901",
  "p_nscol15p_diplmin": "438",
  "c_menfammono_tx_ems": "9.6",
  "p_nscol15p_diplmin_tx": "14.3",
  "p_nscol15p_diplmin_ems": "67062",
  "p_nscol15p_diplmin_tx_ems": "19.7"
}

Record 4ffth: 0 · zone: —

{
  "ffth": "0",
  "zone": null,
  "c_men": "383",
  "p_pop": "948",
  "id_com": "67247",
  "locaux": "407",
  "source": "RP INSEE, 2017",
  "lib_com": "Kolbsheim",
  "surf_m2": "3415559",
  "disp_med": "25890",
  "p_pop65p": "155",
  "sc_u_num": "85",
  "annee_ref": "2017",
  "c_men_ems": "228569",
  "couv4g_tx": "100",
  "decoupage": "IRIS",
  "geo_shape": "[large value omitted]",
  "id_unique": "38",
  "ind_u_num": "2",
  "p_pop1529": "160",
  "p_pop1564": "623",
  "p_pop_ems": "494089",
  "p_pop_imm": "39",
  "sc_a_info": "69",
  "sc_global": "82",
  "c_menpseul": "84",
  "ffthloc_tx": "0",
  "ind_a_info": "1",
  "ind_global": "1",
  "p_chom1564": "31",
  "p_nscol15p": "704",
  "sc_a_equip": "124",
  "sc_u_admin": "47",
  "ind_a_equip": "5",
  "ind_u_admin": "1",
  "p_pop65p_tx": "16.4",
  "surf_m2_ems": "339849510",
  "c_menfammono": "31",
  "commentaires": null,
  "disp_med_ems": "20450",
  "geo_point_2d": {
    "lat": 48.5620331253,
    "lon": 7.58600277122
  },
  "p_pop1529_tx": "16.9",
  "p_pop65p_ems": "80507",
  "p_pop_imm_tx": "4.1",
  "c_menpseul_tx": "22.0",
  "couv4g_tx_ems": "100",
  "id_territoire": "672470000",
  "p_chom1564_tx": "4.9",
  "p_pop1529_ems": "115725",
  "p_pop1564_ems": "328457",
  "p_pop_imm_ems": "85458",
  "c_menpseul_ems": "95345",
  "ffthloc_tx_ems": "77",
  "lib_territoire": "Kolbsheim",
  "p_chom1564_ems": "36712",
  "p_nscol15p_ems": "339777",
  "surf_couv4g_m2": "3415559",
  "c_menfammono_tx": "8.1",
  "p_pop65p_tx_ems": "16.3",
  "c_menfammono_ems": "21982",
  "p_pop1529_tx_ems": "23.4",
  "p_pop_imm_tx_ems": "17.3",
  "c_menpseul_tx_ems": "41.7",
  "p_chom1564_tx_ems": "11.2",
  "surfcouv4g_m2_ems": "339791901",
  "p_nscol15p_diplmin": "97",
  "c_menfammono_tx_ems": "9.6",
  "p_nscol15p_diplmin_tx": "13.8",
  "p_nscol15p_diplmin_ems": "67062",
  "p_nscol15p_diplmin_tx_ems": "19.7"
}

Record 5ffth: 10082 · zone: —

{
  "ffth": "10082",
  "zone": null,
  "c_men": "512",
  "p_pop": "1189",
  "id_com": "67267",
  "locaux": "10815",
  "source": "RP INSEE, 2017",
  "lib_com": "Lingolsheim",
  "surf_m2": "449303",
  "disp_med": "16990",
  "p_pop65p": "135",
  "sc_u_num": "84",
  "annee_ref": "2017",
  "c_men_ems": "228569",
  "couv4g_tx": "100",
  "decoupage": "IRIS",
  "geo_shape": "[large value omitted]",
  "id_unique": "42",
  "ind_u_num": "2",
  "p_pop1529": "295",
  "p_pop1564": "753",
  "p_pop_ems": "494089",
  "p_pop_imm": "210",
  "sc_a_info": "121",
  "sc_global": "104",
  "c_menpseul": "190",
  "ffthloc_tx": "93",
  "ind_a_info": "3",
  "ind_global": "2",
  "p_chom1564": "109",
  "p_nscol15p": "794",
  "sc_a_equip": "99",
  "sc_u_admin": "113",
  "ind_a_equip": "3",
  "ind_u_admin": "3",
  "p_pop65p_tx": "11.4",
  "surf_m2_ems": "339849510",
  "c_menfammono": "76",
  "commentaires": null,
  "disp_med_ems": "20450",
  "geo_point_2d": {
    "lat": 48.5587725941,
    "lon": 7.69881508799
  },
  "p_pop1529_tx": "24.8",
  "p_pop65p_ems": "80507",
  "p_pop_imm_tx": "17.7",
  "c_menpseul_tx": "37.2",
  "couv4g_tx_ems": "100",
  "id_territoire": "672670201",
  "p_chom1564_tx": "14.5",
  "p_pop1529_ems": "115725",
  "p_pop1564_ems": "328457",
  "p_pop_imm_ems": "85458",
  "c_menpseul_ems": "95345",
  "ffthloc_tx_ems": "77",
  "lib_territoire": "Tanneries",
  "p_chom1564_ems": "36712",
  "p_nscol15p_ems": "339777",
  "surf_couv4g_m2": "449303",
  "c_menfammono_tx": "14.8",
  "p_pop65p_tx_ems": "16.3",
  "c_menfammono_ems": "21982",
  "p_pop1529_tx_ems": "23.4",
  "p_pop_imm_tx_ems": "17.3",
  "c_menpseul_tx_ems": "41.7",
  "p_chom1564_tx_ems": "11.2",
  "surfcouv4g_m2_ems": "339791901",
  "p_nscol15p_diplmin": "155",
  "c_menfammono_tx_ems": "9.6",
  "p_nscol15p_diplmin_tx": "19.6",
  "p_nscol15p_diplmin_ems": "67062",
  "p_nscol15p_diplmin_tx_ems": "19.7"
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/irfn_complet

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/irfn_complet/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.

Full API documentation ↗

Rate limits

2 000 000 req/day

per ipmeasured

observed 6 days ago

Dataset

Volume & freshness

Records

201

Last upstream update

6 years ago

2021-02-18

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.