Dataset - opendata.hessen.de

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SPARQL

nach Themen

[{"children": [], "color": "MediumVioletRed", "highlighted": false, "icon": "fa fa-users", "id": "c51346dd-559a-413f-8f68-9aef3fbfd395", "name": "bevolkerung-und-gesellschaft", "package_count": 14, "title": "Bev\u00f6lkerung und Gesellschaft"}, {"children": [], "highlighted": false, "id": "b345842a-23c8-4855-bbf2-4be85039a3f7", "name": "bildung-kultur-und-sport", "title": "Bildung, Kultur und Sport"}, {"children": [], "highlighted": false, "id": "b5b42983-23a9-402f-b78c-dd0654538486", "name": "energie", "title": "Energie"}, {"children": [], "color": "Darkred", "highlighted": false, "icon": "fa fa-heartbeat", "id": "c51f7f61-5c5a-406e-b139-453878b112b7", "name": "gesundheit", "package_count": 4, "title": "Gesundheit"}, {"children": [], "highlighted": false, "id": "71d3dfc9-8f47-4926-9cff-3b19b11a2404", "name": "internationale-themen", "title": "Internationale Themen"}, {"children": [], "color": "DarkRed", "highlighted": false, "icon": "fa fa-balance-scale", "id": "e2d9e3b8-2e2c-4ab4-b2d4-867b4539157b", "name": "justiz-rechtssystem-und-offentliche-sicherheit", "package_count": 3, "title": "Justiz, Rechtssystem und \u00f6ffentliche Sicherheit"}, {"children": [], "highlighted": false, "id": "785c8121-9464-4bd2-a9ae-7b9a6990b201", "name": "landwirtschaft-fischerei-forstwirtschaft-und-nahrungsmittel", "title": "Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel"}, {"children": [], "color": "CadetBlue", "highlighted": false, "icon": "fa fa-bank", "id": "b739013c-1f67-4a6a-82d0-6b894f64e0d7", "name": "regierung-und-offentlicher-sektor", "package_count": 18, "title": "Regierung und \u00f6ffentlicher Sektor"}, {"children": [], "color": "DarkGoldenRod", "highlighted": false, "icon": "fa fa-city", "id": "2b667098-7c6a-4084-9497-fd0107aea558", "name": "regionen-und-stadte", "package_count": 1, "title": "Regionen und St\u00e4dte"}, {"children": [], "color": "DarkGreen", "highlighted": false, "icon": "fa fa-leaf", "id": "d06ae5e3-bfbc-4923-adcc-dc492f399458", "name": "umwelt", "package_count": 40, "title": "Umwelt"}, {"children": [], "color": "DimGray", "highlighted": false, "icon": "fa fa-road", "id": "224db1bd-e82e-462c-b955-a0c79986cbef", "name": "verkehr", "package_count": 3, "title": "Verkehr"}, {"children": [], "highlighted": false, "id": "c215406d-d866-4e00-b0fb-5ebacaa2d626", "name": "vorlaufige-daten", "title": "Vorl\u00e4ufige Daten"}, {"children": [], "color": "Teal", "highlighted": false, "icon": "fa fa-line-chart", "id": "54917440-dd7c-45d6-83a7-f03099534059", "name": "wirtschaft-und-finanzen", "package_count": 4, "title": "Wirtschaft und Finanzen"}, {"children": [], "color": "DarkTurquoise", "highlighted": false, "icon": "fa fa-microscope", "id": "110f547b-8ba7-4062-bef3-f920cc7d0572", "name": "wissenschaft-und-technologie", "package_count": 5, "title": "Wissenschaft und Technologie"}]

nach Schlagwörtern

[{"active": false, "count": 58, "display_name": "Berlin", "id": "86376f99-3886-49fc-92e6-6b3320a420f6", "name": "Berlin", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 58, "display_name": "Bundesl\u00e4nder", "id": "c89fa8ad-3310-4cdd-8912-207a8ab7b38a", "name": "Bundesl\u00e4nder", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 58, "display_name": "Hamburg", "id": "61f1a029-cb53-4228-880d-351021f6b0d4", "name": "Hamburg", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 33, "display_name": "Deutschland", "id": "59d12a29-faf7-4fd4-aa8a-9df52474783a", "name": "Deutschland", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 33, "display_name": "Stadtstaaten", "id": "6cba4ee8-3a9d-4256-b01d-959977986ca6", "name": "Stadtstaaten", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 33, "display_name": "Summe der L\u00e4nder", "id": "92f29afd-7d32-46ab-a7ed-6040d8ce23b1", "name": "Summe der L\u00e4nder", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 31, "display_name": "Boden", "id": "5fb13590-7897-4861-8ff5-271edcbb4441", "name": "Boden", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 30, "display_name": "Regional", "id": "e174dd36-3f03-4b1f-81c2-cb78bc1c0e9c", "name": "Regional", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 17, "display_name": "AdVMIS", "id": "84959740-44f9-4c8d-a6ea-e3eb3dd52a53", "name": "AdVMIS", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 15, "display_name": "Umwelt\u00f6konomische Gesamtrechnungen der L\u00e4nder - Energierechnungen", "id": "e016e8f7-9a49-48f7-88a4-170c6cf362c3", "name": "Umwelt\u00f6konomische Gesamtrechnungen der L\u00e4nder - Energierechnungen", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 14, "display_name": "Armutsgef\u00e4hrdungsquote", "id": "0b463c4d-2298-4501-8a95-a94565095287", "name": "Armutsgef\u00e4hrdungsquote", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 14, "display_name": "Sozialberichterstattung in der amtlichen Statistik", "id": "e7f326de-a5a1-4de8-b41f-4c23d5942e39", "name": "Sozialberichterstattung in der amtlichen Statistik", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 10, "display_name": "Umwelt\u00f6konomische Gesamtrechnungen der L\u00e4nder - Gase", "id": "d416617d-6435-4c93-bcf5-276fdfa751ed", "name": "Umwelt\u00f6konomische Gesamtrechnungen der L\u00e4nder - Gase", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 9, "display_name": "ATKIS", "id": "cad42df6-7147-4de7-b7f3-0c93c41396e1", "name": "ATKIS", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 9, "display_name": "Bodenschutz", "id": "6891d940-bdda-4065-bb5b-4a223acc127c", "name": "Bodenschutz", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 9, "display_name": "Wasser", "id": "6a90026b-2557-4a49-883c-dbba1410e015", "name": "Wasser", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 7, "display_name": "Biotop", "id": "c2639915-a123-48c1-84a2-b27ef13e1c55", "name": "Biotop", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 7, "display_name": "INSPIRE-Datenmodell", "id": "de6e3bcd-c4ab-4f61-a142-b0729e401412", "name": "INSPIRE-Datenmodell", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 7, "display_name": "INSPIRE-Thema SO", "id": "2551616e-8b8d-494b-bf66-423c57354d77", "name": "INSPIRE-Thema SO", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 6, "display_name": "CO2-Emissionen", "id": "e76f59f5-c9a3-494d-b88e-83203968f715", "name": "CO2-Emissionen", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 6, "display_name": "Gr\u00fcnland", "id": "1a622a14-a7dd-4491-8257-5aa2eed64a1f", "name": "Gr\u00fcnland", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 6, "display_name": "Wirtschaft A-T", "id": "9744cf17-b6af-4130-9667-c01c218bfa2e", "name": "Wirtschaft A-T", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "ATKIS_-Basis-DLM", "id": "db60880e-dc01-4ea7-9f3f-96f6154fb916", "name": "ATKIS_-Basis-DLM", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "DLM", "id": "ec53cd88-31be-44fe-844a-694ed9a7b341", "name": "DLM", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "Gebiete mit naturbedingten Risiken", "id": "79bc6453-68d7-402f-8eda-73bfc2fc013c", "name": "Gebiete mit naturbedingten Risiken", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "naturbedingte Risiken", "id": "990858f9-ee76-4bff-989f-ccbe1647b0df", "name": "naturbedingte Risiken", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "Prim\u00e4renergieverbrauch", "id": "62f87f7b-a9f7-4f7d-8a6c-dfda7eb9b423", "name": "Prim\u00e4renergieverbrauch", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "Prim\u00e4renergieverbrauch Index 2010_100", "id": "1728c206-09c9-4664-bcd7-c667c7f61e96", "name": "Prim\u00e4renergieverbrauch Index 2010_100", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "Pr\u00e4sentationsgraphik", "id": "30e3d2d2-d7dd-4b31-bb8b-318397262653", "name": "Pr\u00e4sentationsgraphik", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 5, "display_name": "Umwelt\u00f6konomische Gesamtrechnungen der L\u00e4nder - Wirtschaft und Bev\u00f6lkerung UGRdL-Bezugszahlen", "id": "ace49387-bbd9-40f4-9d6a-564d806a8000", "name": "Umwelt\u00f6konomische Gesamtrechnungen der L\u00e4nder - Wirtschaft und Bev\u00f6lkerung UGRdL-Bezugszahlen", "vocabulary_id": null, "vocabulary_name": null}]

nach Regionen

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Räumliche Verteilung auf einen Blick

Die Karte zeigt, wie sich die aktuell gefundenen Datensätze über Hessen verteilen: je dunkler ein Gebiet, umso mehr Datensätze liegen dort vor. Dabei überlagern sich Landkreise (rot) mit Städten und Gemeinden (blau).

Datensätze, die ganze Regierungsbezirke oder ganz Hessen umfassen (auch dann, wenn sich die darin enthaltenen Daten selbst bis auf Gemeindeebene aufgliedern), werden hier weggelassen, weil ihre Anzahl keine regionalen Unterschiede ausmachen.

Mit einem Klick auf eine Region fügen sie diese dem Datensatz-Filter hinzu. Zugleich wird damit die darunterliegende Ebene aufgedeckt, d.h. ein Klick auf einen Landkreis zeigt seine Gemeinden.

Tipps und Tricks

Kreisfreie Städte werden wie Städte und Gemeinden behandelt. Sie erscheinen in blau, auf der Ebene der Landkreise (rot) sind ihre Flächen leer.
Mehrere Filter sind UND-verknüpft. Wenn Sie etwa Darmstadt und Kassel als Filter hinzufügen, dann suchen Sie nach Datensätzen, die Daten sowohl über Darmstadt als auch über Kassel enthalten (also nicht nach solchen, die entweder nur Darmstadt oder nur Kassel enthalten).
Die Filter von Landkreisen und Gemeinden wirken getrennt. Wenn Sie also nach einem Landkreis filtern, sind nicht automatisch die Datensätze aller kreisangehörigen Gemeinden gleich mit enthalten.
Wenn sie nur nach einer Gemeinde filtern wollen, dann klicken sie zunächst auf ihren Landkreis - und haben ihn dadurch sogleich als Filter hinzugefügt. Klicken Sie dann erst auf die Gemeinde und aktivieren Sie sie somit ebenfalls als Filter; danach entfernen Sie wieder den Landkreis in der Reihe der aktiven Filter durch Klick auf das x.
Diese Karte dient nur der schnellen Orientierung. Wenn Sie Datensätze gezielt über Regionen und Verwaltungsebenen suchen, dann wechseln Sie zum Dashboard "Regionen". Dort können Sie auch alle Ebenen einzeln ein- und ausblenden und sehen eine Legende über die zahlenmäßige Verteilung.
Region ist nicht identisch mit Herausgeber. Daten über eine Gemeinde können, müssen aber nicht von dieser Gebietskörperschaft stammen, sondern ebenso gut von einer ganz anderen Behörde.
Die Anzahl der Datensätze sagt noch nichts aus über die Menge an Daten, die darin enthalten ist. So kann z.B. ein WMS-Dienst aus lediglich einem Layer bestehen oder aber zahlreiche Layer enthalten zu ganz unterschiedlichen Aspekten.

Dataset · Hessisches Statistisches Landesamt

Bruttowertschöpfung in der Gesundheitswirtschaft, jeEinwohner/-in sowie...

Bruttowertschöpfung in der Gesundheitswirtschaft, jeEinwohner/-in sowie Länderanteil an der Bruttowertschöpfungder Gesundheitswirtschaft in Deutschland - Jahr - regionaleTiefe:...
- TXT
- CSV
- REST
Dataset · Hessisches Statistisches Landesamt

Erwerbstätige in der Gesundheitswirtschaft, je 1000Einwohner/-innen sowie...

Erwerbstätige in der Gesundheitswirtschaft, je 1000Einwohner/-innen sowie Länderanteil an den Erwerbstätigender Gesundheitwirtschaft in Deutschland - Jahr - regionaleTiefe:...
- TXT
- CSV
- REST
Dataset · Hessisches Statistisches Landesamt

Landtagswahlen in den BundesländernSondertabelle auf Landesebene(in...

Landtagswahlen in den BundesländernSondertabelle auf Landesebene(in alphabetischer Sortierung)
- TXT
- CSV
- REST
Dataset · Hessisches Statistisches Landesamt

Primärenergieverbrauch - Jahr - regionale Tiefe:Bundesländer

Primärenergieverbrauch - Jahr - regionale Tiefe:Bundesländer
- TXT
- CSV
- REST
Dataset · Hessisches Statistisches Landesamt

Primärenergieverbrauch pro Kopf - Jahr - regionale Tiefe:Bundesländer

Primärenergieverbrauch pro Kopf - Jahr - regionale Tiefe:Bundesländer
- TXT
- CSV
- REST
Dataset · Hessisches Statistisches Landesamt

Primärenergieverbrauch nach Art der Energieträger - Jahr -regionale Tiefe:...

Primärenergieverbrauch nach Art der Energieträger - Jahr -regionale Tiefe: Bundesländer
- TXT
- CSV
- REST
Dataset · Hessisches Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und ländlichen Raum

Rad-Hauptnetz Hessen

In Anlehnung an die Richtlinien für integrierte Netzgestaltung (RIN) wurde unter Beteiligung der Städte, Gemeinden und Kreise, Regierungspräsidien,...
- HTML
HVD Dataset · Hessisches Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und ländlichen Raum

Dauerzählstellen für den Radverkehr in Hessen

Die Tages-/Monats-/Jahreswerte der 257 in Hessen installiert Dauerzählstellen für den Radverkehr können auf einer interaktiven Karte abgerufen werden. Die...
- HTML
Dataset · Hessisches Ministerium für Wirtschaft, Energie, Verkehr, Wohnen und ländlichen Raum

Radschnellverbindungen in Hessen

Radschnellverbindungen sind qualitativ hochwertige und leistungsstarke Radverbindungen, durch die neue Reichweiten für den Radverkehr erschlossen werden. Das Land Hessen...
- HTML

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