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[{"children": [], "color": "MediumVioletRed", "highlighted": false, "icon": "fa fa-users", "id": "c51346dd-559a-413f-8f68-9aef3fbfd395", "name": "bevolkerung-und-gesellschaft", "package_count": 45, "title": "Bev\u00f6lkerung und Gesellschaft"}, {"children": [], "color": "Chocolate", "highlighted": false, "icon": "fa fa-graduation-cap", "id": "b345842a-23c8-4855-bbf2-4be85039a3f7", "name": "bildung-kultur-und-sport", "package_count": 13, "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": 5, "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": 4, "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": 3, "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": 2, "title": "Regionen und St\u00e4dte"}, {"children": [], "color": "DarkGreen", "highlighted": false, "icon": "fa fa-leaf", "id": "d06ae5e3-bfbc-4923-adcc-dc492f399458", "name": "umwelt", "package_count": 7, "title": "Umwelt"}, {"children": [], "highlighted": false, "id": "224db1bd-e82e-462c-b955-a0c79986cbef", "name": "verkehr", "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": 6, "title": "Wirtschaft und Finanzen"}, {"children": [], "highlighted": false, "id": "110f547b-8ba7-4062-bef3-f920cc7d0572", "name": "wissenschaft-und-technologie", "title": "Wissenschaft und Technologie"}]

nach Schlagwörtern

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Quartal", "id": "66153d18-dcdb-4f81-adc5-d148af966228", "name": "1. Quartal", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 2, "display_name": "2. Quartal", "id": "3f9732ec-db2b-4253-a926-1ffecde4057c", "name": "2. Quartal", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 2, "display_name": "2023", "id": "e571538a-88e5-4175-85b7-7807d22d896c", "name": "2023", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 2, "display_name": "3. Quartal", "id": "1b26b885-c443-4337-b9b3-82602acaa2b6", "name": "3. Quartal", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 2, "display_name": "4. Quartal", "id": "6cbf1529-8f07-41c7-81ca-5b4de0ab79a8", "name": "4. Quartal", "vocabulary_id": null, "vocabulary_name": null}]

nach Regionen

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"", "is_organization": false, "name": "2002", "num_followers": 0, "package_count": 55, "state": "active", "title": "2002", "type": "time"}, {"approval_status": "approved", "count": 4, "created": "2025-05-14T09:25:34.294706", "description": "", "display_name": "2003", "extras": [], "groups": [], "id": "a324e88c-ab0b-435e-87e9-0b0fee6c827c", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2003", "num_followers": 0, "package_count": 60, "state": "active", "title": "2003", "type": "time"}, {"approval_status": "approved", "count": 4, "created": "2025-05-14T09:25:34.996714", "description": "", "display_name": "2004", "extras": [], "groups": [], "id": "32545bcb-9ef8-4ecc-a69e-94971c52d74d", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2004", "num_followers": 0, "package_count": 60, "state": "active", "title": "2004", "type": "time"}, {"approval_status": "approved", "count": 4, "created": "2025-05-14T09:25:35.900507", "description": "", "display_name": "2005", "extras": [], "groups": [], "id": "75941662-864c-4004-ab97-a9fd6361a487", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2005", "num_followers": 0, "package_count": 60, "state": "active", "title": "2005", "type": "time"}, {"approval_status": "approved", "count": 5, "created": "2025-05-14T09:25:38.577806", "description": "", "display_name": "2006", "extras": [], "groups": [], "id": "75f65511-754f-4d5c-86c3-7e2701517b09", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2006", "num_followers": 0, "package_count": 62, "state": "active", "title": "2006", "type": "time"}, {"approval_status": "approved", "count": 5, "created": "2025-05-14T09:25:44.353029", "description": "", "display_name": "2007", "extras": [], "groups": [], "id": "b3937959-1bf8-4928-9c99-3c03aea50609", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2007", "num_followers": 0, "package_count": 61, "state": "active", "title": "2007", "type": "time"}, {"approval_status": "approved", "count": 5, "created": "2025-05-14T09:25:45.821140", "description": "", "display_name": "2008", "extras": [], "groups": [], "id": "e9ae7cb0-d931-44df-bc06-083157e61d11", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2008", "num_followers": 0, "package_count": 61, "state": "active", "title": "2008", "type": "time"}, {"approval_status": "approved", "count": 5, "created": "2025-05-14T09:25:51.514220", "description": "", "display_name": "2009", "extras": [], "groups": [], "id": "9e39c5b5-70c1-47a2-9628-dd3daf472043", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2009", "num_followers": 0, "package_count": 61, "state": "active", "title": "2009", "type": "time"}, {"approval_status": "approved", "count": 12, "created": "2025-05-14T09:25:33.692823", "description": "", "display_name": "2010", "extras": [], "groups": [], "id": 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{"approval_status": "approved", "count": 38, "created": "2025-05-14T09:25:35.575519", "description": "", "display_name": "2013", "extras": [], "groups": [], "id": "f7fddc70-d89a-4f3e-9e9d-6c917f488b70", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2013", "num_followers": 0, "package_count": 116, "state": "active", "title": "2013", "type": "time"}, {"approval_status": "approved", "count": 38, "created": "2025-05-14T09:25:35.821455", "description": "", "display_name": "2014", "extras": [], "groups": [], "id": "15db0e9c-4098-4524-921b-d437147c8592", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2014", "num_followers": 0, "package_count": 116, "state": "active", "title": "2014", "type": "time"}, {"approval_status": "approved", "count": 38, "created": "2025-05-14T09:25:36.245956", "description": "", "display_name": "2015", "extras": [], "groups": [], "id": "f803f07a-ae62-4296-9fbc-b3dd07420c6f", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2015", "num_followers": 0, "package_count": 122, "state": "active", "title": "2015", "type": "time"}, {"approval_status": "approved", "count": 43, "created": "2025-05-14T09:25:34.456394", "description": "", "display_name": "2016", "extras": [], "groups": [], "id": "67689b63-20a3-4e07-ac7d-82844b7e16dd", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2016", "num_followers": 0, "package_count": 130, "state": "active", "title": "2016", "type": "time"}, {"approval_status": "approved", "count": 49, "created": "2025-05-14T09:25:33.969813", "description": "", "display_name": "2017", "extras": [], "groups": [], "id": "9a3e437c-c506-4181-8eaa-97a03639e681", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2017", "num_followers": 0, "package_count": 154, "state": "active", "title": "2017", "type": "time"}, {"approval_status": "approved", "count": 68, "created": "2025-05-14T09:25:34.137682", "description": "", "display_name": "2018", "extras": [], "groups": [], "id": "e2758b9d-4474-4787-a08a-e3cd51e0b53a", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2018", "num_followers": 0, "package_count": 175, "state": "active", "title": "2018", "type": "time"}, {"approval_status": "approved", "count": 71, "created": "2025-05-14T09:25:34.217853", "description": "", "display_name": "2019", "extras": [], "groups": [], "id": "2bee7023-2ff9-4048-a9a1-a73d2289a5ec", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2019", "num_followers": 0, "package_count": 195, "state": "active", "title": "2019", "type": "time"}, {"approval_status": "approved", "count": 80, "created": "2025-05-14T09:25:33.777389", "description": "", "display_name": "2020", "extras": [], "groups": [], "id": "0a75521c-0caa-43cd-9eee-708db30048b3", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2020", "num_followers": 0, "package_count": 210, "state": "active", "title": "2020", "type": "time"}, {"approval_status": "approved", "count": 83, "created": "2025-05-14T09:25:34.372677", "description": "", "display_name": "2021", "extras": [], "groups": [], "id": "5c50a522-1a5a-4ba7-ad99-b709769cd83b", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2021", "num_followers": 0, "package_count": 185, "state": "active", "title": "2021", "type": "time"}, {"approval_status": "approved", "count": 85, "created": "2025-05-14T09:25:34.651205", "description": "", "display_name": "2022", "extras": [], "groups": [], "id": "1121f0c0-ad33-4873-8360-4a1b45d78d36", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2022", "num_followers": 0, "package_count": 179, "state": "active", "title": "2022", "type": "time"}, {"approval_status": "approved", "count": 45, "created": "2025-05-14T09:25:34.558425", "description": "", "display_name": "2023", "extras": [], "groups": [], "id": "fa4963dd-f097-4cf7-9d23-66ce945c2f16", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2023", "num_followers": 0, "package_count": 155, "state": "active", "title": "2023", "type": "time"}, {"approval_status": "approved", "count": 26, "created": "2025-05-14T09:25:34.914820", "description": "", "display_name": "2024", "extras": [], "groups": [], "id": "441d3451-cca3-42e5-bfed-d2d53cd46c90", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2024", "num_followers": 0, "package_count": 123, "state": "active", "title": "2024", "type": "time"}, {"approval_status": "approved", "count": 1, "created": "2025-05-14T09:25:38.128645", "description": "", "display_name": "2025", "extras": [], "groups": [], "id": "18a93f8b-5841-4cb8-a786-c99f1159a7f0", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2025", "num_followers": 0, "package_count": 83, "state": "active", "title": "2025", "type": "time"}, {"approval_status": "approved", "count": 1, "created": "2025-05-14T09:25:50.551972", "description": "", "display_name": "2026", "extras": [], "groups": [], "id": "9674f04e-e4f4-44b1-88e5-2f8e98690a0e", "image_display_url": "", "image_url": "", "is_organization": false, "name": "2026", "num_followers": 0, "package_count": 7, "state": "active", "title": "2026", "type": "time"}]

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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.

Datensatz · Frankfurt am Main

Gäste aus Europa

Gäste aus Europa
- CSV
Datensatz · Frankfurt am Main

Gasverbrauch

Gasverbrauch
- CSV
Datensatz · Frankfurt am Main

Beschäftigtendichte Stadtteile (Wohnort) ab 2012_Dashboard

Beschäftigtendichte Stadtteile (Wohnort) ab 2012_Dashboard
- CSV
Datensatz · Frankfurt am Main

Umweltplakette Personenkraftwagen

Umweltplakette Personenkraftwagen
- CSV
Datensatz · Frankfurt am Main

Renten

Renten
- CSV
Datensatz · Frankfurt am Main

Arbeitslose (Wohnort) (Stadtbezirke) ab 2012

Arbeitslose (Wohnort) (Stadtbezirke) ab 2012
- CSV
Datensatz · Frankfurt am Main

Einbürgerungen nach Alter

Einbürgerungen nach Alter
- CSV
Datensatz · Frankfurt am Main

Außenwanderung: Herkunfts- bzw. Zielgebiet (Umland)

Außenwanderung: Herkunfts- bzw. Zielgebiet (Umland)
- CSV
Datensatz · Frankfurt am Main

Aussenwanderung nach Altersgruppen

Aussenwanderung nach Altersgruppen
- CSV
Datensatz · Frankfurt am Main

Straftaten (Tatverdächtige nach Geschlecht, Staatsangehörigkeit und Wohnort)

Straftaten (Tatverdächtige nach Geschlecht, Staatsangehörigkeit und Wohnort)
- CSV
Datensatz · Frankfurt am Main

Gäste und Übernachtungen im Jahresverlauf

Gäste und Übernachtungen im Jahresverlauf
- CSV
Datensatz · Frankfurt am Main

Haushaltsstruktur

Haushaltsstruktur
- CSV
Datensatz · Frankfurt am Main

Untersuchte Kinder bei der Einschulungsuntersuchung nach Vorsorgestatus (Stadtteile)

Untersuchte Kinder bei der Einschulungsuntersuchung nach Vorsorgestatus (Stadtteile)
- CSV
Datensatz · Frankfurt am Main

Außenwanderung nach Geschlecht und Nation

Außenwanderung nach Geschlecht und Nation
- CSV
Datensatz · Frankfurt am Main

Nichtstädtische Theater

Nichtstädtische Theater
- CSV
Datensatz · Frankfurt am Main

Haushalte nach Geschlecht und Staatsangehörigkeit

Haushalte nach Geschlecht und Staatsangehörigkeit
- CSV
Datensatz · Frankfurt am Main

Städtische Theater nach Bühnen

Städtische Theater nach Bühnen
- CSV
Datensatz · Frankfurt am Main

Häufigste Bezugsländer von Migranten und Migrantinnen

Häufigste Bezugsländer von Migranten und Migrantinnen
- CSV
Datensatz · Frankfurt am Main

Bürgerhäuser Veranstaltungen

Bürgerhäuser Veranstaltungen
- CSV
Datensatz · Frankfurt am Main

Haushalte nach Größe

Haushalte nach Größe
- CSV

Sie können dieses Register auch über die API (siehe API-Dokumentation) abrufen.

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