Register record·API·FRSTALE · checked 4d ago

S

Survey "The Future of the Suburbs": Answers to Question 3Sondage "L'avenir des banlieues" : réponses question 3

Sondage "L'avenir des banlieues" : réponses question 3Survey "The Future of the Suburbs": Answers to Question 3

APIDiscovered1/7blocked by verifiedQuery nowOpen workbench Subscribe🇫🇷France

This dataset provides the answers to a survey question asking how the quality of public transport in the suburbs of the Île-de-France region has changed over the past ten years. The survey, titled "The Future of the Suburbs," was conducted by the Viavoice institute for the Île-de-France magazine, in partnership with the Bondy Blog. It is published via the Île-de-France regional open-data portal and provides regional-level, French-language survey results relevant to public opinion on transport policy in the Paris suburbs.Réponses à la question : " Depuis 10 ans, comment a évolué à votre avis la qualité des transports en commun dans les banlieues franciliennes ? " Cette question est issue d'un sondage réalisé par l'institut Viavoice pour le magazine Île-de-France, en partenariat avec le Bondy Blog. Informations su...

transport

⬇ Export CSV List records Select & filter Run verified request Read the docs

Data schema (21 fields)

Filterable via the API (21)

reponsehommefemme18_24_ans25_34_ans35_49_ans50_64_ans65_ans_etcadre_profession_liberale_profession_intellectuelle_superieure_chef_d_entreprise_de_10_salaries_ou_pprofession_intermediaire_technicien_agent_de_maitriseemploye_et_personnel_de_serviceouvrier_qualifie_et_non_qualifieretraite75_paris77_seine_et_marne78_yvelines91_essonne92_hauts_de_seine93_seine_saint_denis94_val_de_marne95_val_d_oise

Click a field to see example values.

Fill	Field	Type	Description
100%	reponseRéponse	text	Answer option given for this survey question.Answer option given for this survey question.
100%	homme	double	Percentage of male respondents choosing this answer.Percentage of male respondents choosing this answer.
100%	femme	double	Percentage of female respondents choosing this answer.Percentage of female respondents choosing this answer.
—	18_24_ans18 24 ans	double	Percentage of respondents aged 18–24 choosing this answer.Percentage of respondents aged 18–24 choosing this answer.
—	25_34_ans25 34 ans	double	Percentage of respondents aged 25–34 choosing this answer.Percentage of respondents aged 25–34 choosing this answer.
—	35_49_ans35 49 ans	double	Percentage of respondents aged 35–49 choosing this answer.Percentage of respondents aged 35–49 choosing this answer.
—	50_64_ans50 64 ans	double	Percentage of respondents aged 50–64 choosing this answer.Percentage of respondents aged 50–64 choosing this answer.
—	65_ans_et65 ans et	double	Percentage of respondents aged 65 and over choosing this answer.Percentage of respondents aged 65 and over choosing this answer.
100%	cadre_profession_liberale_profession_intellectuelle_superieure_chef_d_entreprise_de_10_salaries_ou_pCadre, profession libérale, profession intellectuelle supérieure, chef d’entreprise de 10 salariés ou plus	double	Percentage of executives, liberal professions or business owners (10+ employees) choosing this answer.Percentage of executives, liberal professions or business owners (10+ employees) choosing this answer.
100%	profession_intermediaire_technicien_agent_de_maitriseProfession intermédiaire (technicien, agent de maitrise)	double	Percentage of intermediate professionals (technicians, supervisors) choosing this answer.Percentage of intermediate professionals (technicians, supervisors) choosing this answer.
100%	employe_et_personnel_de_serviceEmployé et personnel de service	double	Percentage of employees and service staff choosing this answer.Percentage of employees and service staff choosing this answer.
100%	ouvrier_qualifie_et_non_qualifieOuvrier qualifié et non qualifié	double	Percentage of skilled and unskilled manual workers choosing this answer.Percentage of skilled and unskilled manual workers choosing this answer.
100%	retraiteRetraité	double	Percentage of retired respondents choosing this answer.Percentage of retired respondents choosing this answer.
—	75_paris75 paris	double	Percentage of respondents from Paris (75) choosing this answer.Percentage of respondents from Paris (75) choosing this answer.
—	77_seine_et_marne77 seine et marne	double	Percentage of respondents from Seine-et-Marne (77) choosing this answer.Percentage of respondents from Seine-et-Marne (77) choosing this answer.
—	78_yvelines78 yvelines	double	Percentage of respondents from Yvelines (78) choosing this answer.Percentage of respondents from Yvelines (78) choosing this answer.
—	91_essonne91 essonne	double	Percentage of respondents from Essonne (91) choosing this answer.Percentage of respondents from Essonne (91) choosing this answer.
—	92_hauts_de_seine92 hauts de seine	double	Percentage of respondents from Hauts-de-Seine (92) choosing this answer.Percentage of respondents from Hauts-de-Seine (92) choosing this answer.
—	93_seine_saint_denis93 seine saint denis	double	Percentage of respondents from Seine-Saint-Denis (93) choosing this answer.Percentage of respondents from Seine-Saint-Denis (93) choosing this answer.
—	94_val_de_marne94 val de marne	double	Percentage of respondents from Val-de-Marne (94) choosing this answer.Percentage of respondents from Val-de-Marne (94) choosing this answer.
—	95_val_d_oise95 val d oise	double	Percentage of respondents from Val-d'Oise (95) choosing this answer.Percentage of respondents from Val-d'Oise (95) choosing this answer.

Schema captured from opendatasoft 3 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.

Where=

Sort by

Sample data (5 records)

Record 1femme: 13.7 · homme: 10.2

{
  "femme": 13.7,
  "homme": 10.2,
  "reponse": "Elle s’est dégradée",
  "75_paris": 5.8,
  "retraite": 18.9,
  "18_24_ans": null,
  "25_34_ans": 8.7,
  "35_49_ans": 13.4,
  "50_64_ans": 14.8,
  "65_ans_et": 20.3,
  "91_essonne": 27.6,
  "78_yvelines": 4.8,
  "95_val_d_oise": 18.6,
  "94_val_de_marne": 14.3,
  "77_seine_et_marne": 14.2,
  "92_hauts_de_seine": 10.1,
  "93_seine_saint_denis": 8.6,
  "employe_et_personnel_de_service": 7.3,
  "ouvrier_qualifie_et_non_qualifie": 9.8,
  "profession_intermediaire_technicien_agent_de_maitrise": 9.6,
  "cadre_profession_liberale_profession_intellectuelle_superieure_chef_d_entreprise_de_10_salaries_ou_p": 13.6
}

Record 2femme: 40.3 · homme: 50.3

{
  "femme": 40.3,
  "homme": 50.3,
  "reponse": "Elle a évolué positivement, même si les projets mettent du temps à être réalisés",
  "75_paris": 45,
  "retraite": 38.4,
  "18_24_ans": 56.8,
  "25_34_ans": 53.8,
  "35_49_ans": 39.3,
  "50_64_ans": 42.9,
  "65_ans_et": 38.2,
  "91_essonne": 36.6,
  "78_yvelines": 52.5,
  "95_val_d_oise": 44.5,
  "94_val_de_marne": 40.9,
  "77_seine_et_marne": 31,
  "92_hauts_de_seine": 52.6,
  "93_seine_saint_denis": 55.3,
  "employe_et_personnel_de_service": 47.2,
  "ouvrier_qualifie_et_non_qualifie": 59,
  "profession_intermediaire_technicien_agent_de_maitrise": 49.3,
  "cadre_profession_liberale_profession_intellectuelle_superieure_chef_d_entreprise_de_10_salaries_ou_p": 48.7
}

Record 3femme: 29.3 · homme: 18.9

{
  "femme": 29.3,
  "homme": 18.9,
  "reponse": "Elle n’a pas changé, les changements sont invisibles sur le territoire",
  "75_paris": 26.5,
  "retraite": 18.7,
  "18_24_ans": 23,
  "25_34_ans": 25.7,
  "35_49_ans": 28.4,
  "50_64_ans": 18.8,
  "65_ans_et": 21.4,
  "91_essonne": 19.6,
  "78_yvelines": 33.2,
  "95_val_d_oise": 13.4,
  "94_val_de_marne": 34.6,
  "77_seine_et_marne": 21.8,
  "92_hauts_de_seine": 11.6,
  "93_seine_saint_denis": 25.6,
  "employe_et_personnel_de_service": 33.1,
  "ouvrier_qualifie_et_non_qualifie": 11.3,
  "profession_intermediaire_technicien_agent_de_maitrise": 24.8,
  "cadre_profession_liberale_profession_intellectuelle_superieure_chef_d_entreprise_de_10_salaries_ou_p": 23.3
}

Record 4femme: 10 · homme: 15.4

{
  "femme": 10,
  "homme": 15.4,
  "reponse": "Elle s’est nettement améliorée, avec des projets de désenclavement qui donnent des résultats",
  "75_paris": 12.2,
  "retraite": 20.7,
  "18_24_ans": 13.7,
  "25_34_ans": 8.3,
  "35_49_ans": 10.9,
  "50_64_ans": 17.9,
  "65_ans_et": 14.8,
  "91_essonne": 14.1,
  "78_yvelines": 1.8,
  "95_val_d_oise": 23.5,
  "94_val_de_marne": 6,
  "77_seine_et_marne": 19.6,
  "92_hauts_de_seine": 18.6,
  "93_seine_saint_denis": 10.4,
  "employe_et_personnel_de_service": 6.3,
  "ouvrier_qualifie_et_non_qualifie": 13.6,
  "profession_intermediaire_technicien_agent_de_maitrise": 11,
  "cadre_profession_liberale_profession_intellectuelle_superieure_chef_d_entreprise_de_10_salaries_ou_p": 8.7
}

Record 5femme: 6.7 · homme: 5.2

{
  "femme": 6.7,
  "homme": 5.2,
  "reponse": "(Ne se prononce pas)",
  "75_paris": 10.5,
  "retraite": 3.4,
  "18_24_ans": 6.6,
  "25_34_ans": 3.5,
  "35_49_ans": 7.9,
  "50_64_ans": 5.7,
  "65_ans_et": 5.4,
  "91_essonne": 2.1,
  "78_yvelines": 7.7,
  "95_val_d_oise": null,
  "94_val_de_marne": 4.2,
  "77_seine_et_marne": 13.5,
  "92_hauts_de_seine": 7,
  "93_seine_saint_denis": null,
  "employe_et_personnel_de_service": 6.2,
  "ouvrier_qualifie_et_non_qualifie": 6.3,
  "profession_intermediaire_technicien_agent_de_maitrise": 5.3,
  "cadre_profession_liberale_profession_intellectuelle_superieure_chef_d_entreprise_de_10_salaries_ou_p": 5.8
}

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

Verification Status

Using the API

Configuration

Base URL: https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/sondage-lavenir-des-banlieues-reponses-question-3

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/sondage-lavenir-des-banlieues-reponses-question-3/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

10 000 req/day

per ipmeasured

observed 3 days ago

Dataset

Volume & freshness

Records

5

Last upstream update

7 years ago

2020-02-18

Temporal coverage

2014 → ongoing

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.

Survey "The Future of the Suburbs": Answers to Question 3Sondage "L'avenir des banlieues" : réponses question 3

Trust score

Data schema (21 fields)

Query the data

Sample data (5 records)

Verification Status

Using the API

Configuration

License

Query examples

Rate limits

Dataset

Volume & freshness

License

Machine-readable & source