Datensatz - 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": 272, "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": 30, "title": "Bildung, Kultur und Sport"}, {"children": [], "color": "Navy", "highlighted": false, "icon": "fa fa-plug", "id": "b5b42983-23a9-402f-b78c-dd0654538486", "name": "energie", "package_count": 3, "title": "Energie"}, {"children": [], "color": "Darkred", "highlighted": false, "icon": "fa fa-heartbeat", "id": "c51f7f61-5c5a-406e-b139-453878b112b7", "name": "gesundheit", "package_count": 44, "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": 6, "title": "Justiz, Rechtssystem und \u00f6ffentliche Sicherheit"}, {"children": [], "color": "SaddleBrown", "highlighted": false, "icon": "fa fa-tree", "id": "785c8121-9464-4bd2-a9ae-7b9a6990b201", "name": "landwirtschaft-fischerei-forstwirtschaft-und-nahrungsmittel", "package_count": 1, "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": 146, "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": 6, "title": "Regionen und St\u00e4dte"}, {"children": [], "color": "DarkGreen", "highlighted": false, "icon": "fa fa-leaf", "id": "d06ae5e3-bfbc-4923-adcc-dc492f399458", "name": "umwelt", "package_count": 152, "title": "Umwelt"}, {"children": [], "color": "DimGray", "highlighted": false, "icon": "fa fa-road", "id": "224db1bd-e82e-462c-b955-a0c79986cbef", "name": "verkehr", "package_count": 24, "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": 357, "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": 12, "title": "Wissenschaft und Technologie"}]

nach Schlagwörtern

[{"active": false, "count": 90, "display_name": "Gemeinden", "id": "f84cb635-791d-4cc2-99f6-bb1813b5d8e5", "name": "Gemeinden", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 88, "display_name": "GDI", "id": "ea9c1ec8-9f16-446f-847e-cd5ac861bdce", "name": "GDI", "vocabulary_id": "60effae6-3101-4fa1-acfd-373d76b554a8", "vocabulary_name": "GDI"}, {"active": false, "count": 72, "display_name": "Stadtplanung", "id": "0fa6bce7-1ed6-401d-96a0-e5b3e1cbb0bc", "name": "Stadtplanung", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 63, "display_name": "Ausl\u00e4nder_-innen", "id": "04855ad1-177d-4c8e-871d-18427dcb6ce6", "name": "Ausl\u00e4nder_-innen", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 58, "display_name": "Bebauungsplan", "id": "04d46b05-1e2f-43dd-a87d-f4643e1f176a", "name": "Bebauungsplan", "vocabulary_id": "81342110-5c4f-46c3-9733-0edf578152f4", "vocabulary_name": "Bebauungsplan"}, {"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": 55, "display_name": "Planen", "id": "c46f40c9-8eac-497a-ae81-9a33e4c60c27", "name": "Planen", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 47, "display_name": "Bauen", "id": "ea89b588-cfe3-47b8-9106-b4e4888d7aee", "name": "Bauen", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 47, "display_name": "Baukataster", "id": "8dd171ab-14a7-46e5-93b4-9fd05aa6fff9", "name": "Baukataster", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 47, "display_name": "Bauverwaltung", "id": "b10c94e6-cf53-40b6-89d3-8e1b26304d06", "name": "Bauverwaltung", "vocabulary_id": "3f41b1b6-3a8b-4916-ae1a-1a859b79d087", "vocabulary_name": "Bauverwaltung"}, {"active": false, "count": 47, "display_name": "Fl\u00e4chennutzungsplan", "id": "fa077188-f12b-4f56-80ae-dd223b2d7bf4", "name": "Fl\u00e4chennutzungsplan", "vocabulary_id": "83f6988e-e736-468b-a2a2-5299e0b3aee3", "vocabulary_name": "Fl\u00e4chennutzungsplan"}, {"active": false, "count": 46, "display_name": "Parteien", "id": "85e624c1-fdf5-4b87-9d3b-b68f3fa3eeb4", "name": "Parteien", "vocabulary_id": "7c24b394-06e0-4836-b5fa-7f177536b0a4", "vocabulary_name": "Parteien"}, {"active": false, "count": 44, "display_name": "Festsetzungen", "id": "44e4d228-2081-4cbb-992d-5909f7590ee8", "name": "Festsetzungen", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 44, "display_name": "Grenze", "id": "b6d900aa-2287-43ec-b78b-49e93aa27fd7", "name": "Grenze", "vocabulary_id": "756166c0-5444-4bd2-bfb6-3b7f20729dbc", "vocabulary_name": "Grenze"}, {"active": false, "count": 40, "display_name": "Briefwahl", "id": "b1f98084-73c4-490e-b5b9-ca2f8fce2d2f", "name": "Briefwahl", "vocabulary_id": "e3cbaf4e-9243-42f8-9950-2a29e7dd76ad", "vocabulary_name": "Briefwahl"}, {"active": false, "count": 39, "display_name": "Verwaltung", "id": "124350c3-1562-4c39-ab1c-ca5f182a2ab5", "name": "Verwaltung", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 38, "display_name": "Geb\u00e4ude", "id": "fb837ac1-7082-4c33-a534-26cf173dd23a", "name": "Geb\u00e4ude", "vocabulary_id": "2c999193-990e-4211-bc74-094d6cb0608d", "vocabulary_name": "Geb\u00e4ude"}, {"active": false, "count": 38, "display_name": "Statistische Einheiten", "id": "21318c1c-c6a3-4154-ab8e-5c87f36dceae", "name": "Statistische Einheiten", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 36, "display_name": "Umwelt", "id": "78bb6970-1595-4a92-9d55-81cf0a7c8fb9", "name": "Umwelt", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 36, "display_name": "Wahlberechtigte", "id": "84a7d8bd-e86a-4922-8bd9-e3226b023614", "name": "Wahlberechtigte", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 36, "display_name": "Wahlbezirke", "id": "6fda9959-1b93-4aa8-976e-0806a7f2d42a", "name": "Wahlbezirke", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 36, "display_name": "Wahlen", "id": "b1a12e6d-2d50-413a-9b8d-1c6c1d49baae", "name": "Wahlen", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 34, "display_name": "Politik", "id": "3a76f860-f85e-4e40-969f-2b39fc461363", "name": "Politik", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 34, "display_name": "Stimmbezirke", "id": "dc16606a-9d03-4d84-888d-4487488b4144", "name": "Stimmbezirke", "vocabulary_id": null, "vocabulary_name": null}, {"active": false, "count": 34, "display_name": "Urnenwahl", "id": "b5b8ef3d-8291-48ac-90d6-0b29870f395b", "name": "Urnenwahl", "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": "G\u00fcltige Stimmen", "id": "437bd9a1-a2e4-4719-9dbd-aa6832572429", "name": "G\u00fcltige Stimmen", "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": 32, "display_name": "65 Jahre und mehr", "id": "6c990d6f-4e83-46f0-8739-19092d77dbe7", "name": "65 Jahre und mehr", "vocabulary_id": null, "vocabulary_name": null}]

nach Regionen

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"groups": [{"capacity": "public", "name": "wetteraukreis"}], "id": "bc866d8c-9458-4c92-82de-d2a5a1b96749", "image_display_url": "", "image_url": "", "is_organization": false, "name": "bad-nauheim-stadt", "num_followers": 0, "package_count": 1, "spatial": {"coordinates": [[[8.710871665282943, 50.34324904981707], [8.795481778821753, 50.34324904981707], [8.795481778821753, 50.412333185125426], [8.710871665282943, 50.412333185125426], [8.710871665282943, 50.34324904981707]]], "type": "Polygon"}, "state": "active", "title": "Bad Nauheim, Stadt", "type": "region", "uri": "http://dcat-ap.de/def/politicalGeocoding/municipalityKey/06440002", "wikibase": "Q16105", "wikipedia": "Bad Nauheim", "xzufi": "9005212"}, {"ags": "06533001", "approval_status": "approved", "created": "2025-02-17T15:30:37.230833", "description": "", "display_name": "Beselich", "groups": [{"capacity": "public", "name": "limburg-weilburg"}], "id": "89b697b4-3cc3-4844-a780-8264f222c83d", "image_display_url": "", "image_url": "", "is_organization": false, "name": "beselich", "num_followers": 0, "package_count": 3, "spatial": {"coordinates": [[[8.102446066145353, 50.42878579928796], [8.21664133839253, 50.42878579928796], [8.21664133839253, 50.500720468257875], [8.102446066145353, 50.500720468257875], [8.102446066145353, 50.42878579928796]]], "type": "Polygon"}, "state": "active", "title": "Beselich", "type": "region", "uri": "http://dcat-ap.de/def/politicalGeocoding/municipalityKey/06533001", "wikibase": "Q634252"}, {"ags": "06435004", "approval_status": "approved", "created": "2025-02-17T15:41:56.840800", "description": "", "display_name": "Birstein", "groups": [{"capacity": "public", "name": "main-kinzig-kreis"}], "id": "ade37df5-b92a-4a21-a313-56bfc85197c1", "image_display_url": "", "image_url": "", "is_organization": false, "name": "birstein", "num_followers": 0, "package_count": 4, "spatial": {"coordinates": [[[9.252818384783648, 50.322838381968324], [9.379883478337623, 50.322838381968324], 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"description": "", "display_name": "Sinntal", "groups": [{"capacity": "public", "name": "main-kinzig-kreis"}], "id": "afec8c82-3e91-4412-8e18-183c8e85da21", "image_display_url": "", "image_url": "", "is_organization": false, "name": "sinntal", "num_followers": 0, "package_count": 4, "spatial": {"coordinates": [[[9.554897293438986, 50.2283178802144], [9.750053778986016, 50.2283178802144], [9.750053778986016, 50.371407607557806], [9.554897293438986, 50.371407607557806], [9.554897293438986, 50.2283178802144]]], "type": "Polygon"}, "state": "active", "title": "Sinntal", "type": "region", "uri": "http://dcat-ap.de/def/politicalGeocoding/municipalityKey/06435027", "wikibase": "Q624835", "wikipedia": "", "xzufi": "9003667"}, {"ags": "06535", "approval_status": "approved", "created": "2025-02-17T15:28:23.695114", "description": "", "display_name": "Vogelsbergkreis", "groups": [{"capacity": "public", "name": "reg-bez-gieben"}], "id": "05cb3a97-b82c-411d-b7df-4adfe4c1ace0", "image_display_url": 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Verteilung nach Schlagwörtern auf einen Blick

Das Diagramm zeigt, wie sich die aktuell gefundenen Datensätze auf verschiedene Schlagwörter verteilen: je größer ein Kreis, umso mehr Datensätze liegen dort vor. Um den Überblick zu behalten, ist die Anzeige auf die ersten 30 Schlagwörter mit den meisten Verknüpfungen begrenzt.

Mit einem Klick auf ein Schlagwort fügen sie dieses dem Datensatz-Filter hinzu.

Schlagwörter, die von anderen Metadatenportalen importiert worden sind, können nach bestimmten Regeln verarbeitet worden sein. Auf diese Weise reduziert sich die Menge der Schlagwörter auf ein praktikables Maß und die Wahrscheinlichkeit steigt, dass Datensätze mit ähnlichen Inhalten über gemeiname Schlagwörter aufeinander verweisen können. Weitere Erläuterungen dazu finden Sie im Hilfetext zu den Schlagwörtern am einzelnen Datensatz.

An der Gestaltung der Kreise lässt sich die Art der Verarbeitung ablesen:

Beispiel	Bedeutung
	Gewöhnliche Schlagworte ohne weitere Verarbeitung haben einheitlich diese Farbe.
	Mit beliebigen anderen Farben werden Oberbegriffe (Deskriptoren) für eine Menge anderer Schlagwörter (Synonyme) voneinander unterschieden. Diese Synonyme zu einem Oberbegriff werden ausgeblendet, um die Treffermenge übersichtlich zu halten.
	Wenn aber ein Synonym ausdrücklich ausgewählt wurde als Filter (z.B. durch Anklicken im Datensatz), dann wird es in derselben Farbe angezeigt wie sein Oberbegriff, jedoch mit einer helleren Tönung von diesem unterschieden. Dasselbe gilt für alle Schlagwörter, die prinzipiell ausgeblendet werden, nur gibt es dann keinen zugehörigen Oberbegriff.
	Schlagwörter, nach denen aktuell gefiltert wird, werden so gekennzeichnet.

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.

HVD Datensatz · Ministerium für Wirtschaft, Energie, Verkehr und Wohnen

Regionalplan Nordhessen

Der Regionalplan Nordhessen 2009 legt die großräumigen Ordnungs- und Entwicklungsvorstellungen für den Regierungsbezirk Kassel fest. Er ist der planerische Rahmen für die...
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- REST
- ATOM
Datensatz · Darmstadt

Leistungen nach SGB II

Diese Datensätze enthalten Zahlen zu den Leistungsberechtigten (LB), den Bedarfsgemeinschaften (BG), Personen unter 18 in BG und erwerbsfähigen Leistungsbeziehenden (ELB). Um...
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HVD Datensatz · Ministerium für Wirtschaft, Energie, Verkehr und Wohnen

Regionalplan Mittelhessen

Der Regionalplan Mittelhessen stellt die Festlegungen der Raumordnung für die Entwicklung der Planungsregion Mittelhessen dar. Der Regionalplan Mittelhessen 2010 legt die...
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Datensatz · Darmstadt

Europawahlen in Darmstadt

Die CSV Datei enthält eine Zeitreihe zu Anzahl der Wahlberechtigten, gültigen und ungültigen Stimmen sowie der Stimmverteilung der Europawahlen ab 1979. Die Verlinkungen führen...
- CSV
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Datensatz · Darmstadt

Bundestagswahlen in Darmstadt

Die CSV-Datei enthält eine Zeitreihe mit der Anzahl der Wahlberechtigten, der gültigen und ungültigen Stimmen sowie die Stimmverteilung der Zweitstimmen (Sitzverteilung der...
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- ZIP
- GeoJSON
Datensatz · Darmstadt

Landtagswahlen in Darmstadt

Die CSV-Datei enthält eine Zeitreihe zu Anzahl der Wahlberechtigten, gültigen und ungültigen Stimmen sowie der Stimmverteilung der Landesstimmen bei den hessischen...
- CSV
- HTML
Datensatz · Darmstadt

Kreuzungspläne Stadt Darmstadt

In diesem Datensatz stehen die aktuellen Kreuzungspläne der Lichtsignalanlagen (LSA) im Stadtgebiet Darmstadt zur Verfügung. Der allgemeine Übersichtsplan bietet eine...
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- CSV
- GeoJSON
Datensatz · Darmstadt

Kommunalwahlen in Darmstadt

Es handelt sich um Zeitreihen zur Anzahl der Stimmen für die Parteien und Wählergruppen sowie zu der Anzahl der Wahlberechtigten, Wählern und Wählerinnen, gültigen und...
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- PDF
- ZIP
Datensatz · Darmstadt

Datenbestand des Darmstädter Open-Data-Portals

In dieser Übersicht finden Sie den aktuellen Daten-Bestand des Open-Data-Portals der Wissenschaftsstadt Darmstadt (https://opendata.darmstadt.de/). Enthalten sind die derzeit...
- CSV
- XLSX
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HVD Datensatz · Ministerium für Wirtschaft, Energie, Verkehr und Wohnen

Regionalplan Südhessen

Der Regionalplan Südhessen stellt die Festlegungen der Raumordnung für die Entwicklung der Planungsregion Südhessen dar.
- HTML
- WMS
- WFS
- REST
- ATOM
Datensatz · Darmstadt

Studierende

Bereitgestellt werden die Zahlen der Studierenden an Präsenz-Hochschulen in Darmstadt jeweils zum Wintersemester seit 1980. Die Daten sind untergliedert nach den Hochschulen:...
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Datensatz · Darmstadt

Schüler und Schülerinnen

Enthalten sind die Zahlen der Schülerinnen und Schüler an allgemeinbildenden sowie an beruflichen Schulen in Darmstadt. Die Zeitreihe bildet die Schuljahre seit dem Schuljahr...
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Datensatz · Darmstadt

Nationalitätengruppen der ausländischen Bevölkerung

Der Datensatz schlüsselt die nicht-deutsche Bevölkerung Darmstadts in verschiedene Nationengruppen auf. Bei Personen mit mehreren Staatsbürgerschaften wurde die erste...
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Datensatz · Darmstadt

Häufigste Nationalitäten der ausländischen Bevölkerung

Dieser Datensatz enthält die Zahlen der nicht-deutschen Bevölkerung Darmstadts für die 10 häufigsten Nationalitäten aufgeschlüsselt nach Stadtteilen. Berücksichtigt wurde...
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Datensatz · Darmstadt

Bevölkerung nach Geburtsjahr und Geschlecht

Dieser Datensatz enthält die Anzahl der Personen, die im jeweiligen Jahr geboren wurden aufgeteilt nach Geschlecht. Registereintragungen ohne Geschlechtsangabe sowie Personen...
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Datensatz · Darmstadt

Altersstruktur der Bevölkerung mit Einwanderungsgeschichte

Die Datensätze stellen die Altersstruktur der Bevölkerung mit Einwanderungsgeschichte der Wissenschaftsstadt Darmstadt dar. Enthalten sind Personen mit Hauptwohnsitz in...
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Datensatz · Frankfurt am Main

Gäste aus Europa

Gäste aus Europa
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Datensatz · Frankfurt am Main

Gasverbrauch

Gasverbrauch
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Datensatz · Frankfurt am Main

Krankenhäuser

Krankenhäuser
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Datensatz · Frankfurt am Main

Aus den Krankenhäusern entlassene oder gestorbene vollstationäre...

Aus den Krankenhäusern entlassene oder gestorbene vollstationäre Patientinnen und Patienten
- CSV

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

1.216 Datensätze gefunden

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