Das US Census Bureau veröffentlicht regelmäßig eine Geodatabase namens TIGER. Dieses Dataset enthält die Volkszählungsbezirke von 2020. Die Größe von Zählbezirken variiert stark, entspricht in städtischen Gebieten aber in etwa einem Stadtteil. Es gibt etwas mehr als 85.000 Polygon-Features für die Vereinigten Staaten, den District of Columbia, Puerto Rico und die Inselgebiete.
Eindeutige Kennung für Zusammenfassungsstufe, Merkmalsiteration, USA, Bundesstaat, Bezirk, Zählbezirk, Blockgruppencode
INTPTLAT
DOUBLE
Breitengrad des internen Punktes
INTPTLON
DOUBLE
Längengrad des internen Punkts
MTFCC
STRING
MAF/TIGER Feature Classification Code
NAME
STRING
Name des Volkszählungsgebiets von 2020: Dies ist der Volkszählungsgebietscode, der in eine Ganzzahl oder eine Ganzzahl plus 2-stellige Dezimalzahl umgewandelt wurde, wenn die letzten beiden Zeichen des Codes nicht beide Nullen sind.
NAMELSAD
STRING
Vollständiger Name
STATEFP
STRING
FIPS-Code des Bundesstaates
TRACTCE
STRING
Code für Zensus-Erhebungsgebiet
Nutzungsbedingungen
Nutzungsbedingungen
Das US Census Bureau bietet einige seiner öffentlichen Daten in maschinenlesbarem Format über eine API (Application Programming Interface) an. Alle Inhalte, Dokumentationen, Codes und zugehörigen Materialien, die Ihnen über die API zur Verfügung gestellt werden, unterliegen diesen Nutzungsbedingungen.
Zitate
Quellenangaben:
Bei der Erstellung von Berichten, Publikationen, neuen Datasets, abgeleiteten Produkten oder Diensten, die aus dem Dataset resultieren, sollten Nutzer das US Census Bureau zitieren.
Ein FeatureView ist eine beschleunigte Darstellung eines FeatureCollection, die nur angezeigt werden kann. Weitere Informationen finden Sie in der Dokumentation zu FeatureView.
Das United States Census Bureau veröffentlicht regelmäßig eine Geodatabase namens TIGER. Dieses Dataset enthält die Volkszählungsgebiete von 2020. Die Größe von Zählbezirken variiert stark, in städtischen Gebieten entspricht sie in etwa einem Stadtteil. Es gibt etwas mehr als 85.000 Polygon-Features für die USA, den District of Columbia, Puerto Rico und …
[null,null,[],[[["\u003cp\u003eThe TIGER/2020/TRACT dataset provides 2020 US Census tract boundaries, covering the United States, District of Columbia, Puerto Rico, and Island areas.\u003c/p\u003e\n"],["\u003cp\u003eCensus tracts are roughly equivalent to neighborhoods in urban areas and are represented as polygons, totaling over 85,000 features.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset includes attributes like land and water area, geographic identifiers, and census tract names.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access and analyze the dataset through Google Earth Engine using provided code snippets and FeatureView for visualization.\u003c/p\u003e\n"],["\u003cp\u003eThe data is subject to US Census Bureau terms of use and requires proper citation when used in publications or derived products.\u003c/p\u003e\n"]]],[],null,["# TIGER: US Census Tracts\n\nDataset Availability\n: 2020-01-01T00:00:00Z--2020-01-02T00:00:00Z\n\nDataset Provider\n:\n\n\n [United States Census Bureau](https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)\n\nTags\n:\n[census](/earth-engine/datasets/tags/census) [city](/earth-engine/datasets/tags/city) [infrastructure-boundaries](/earth-engine/datasets/tags/infrastructure-boundaries) [neighborhood](/earth-engine/datasets/tags/neighborhood) [table](/earth-engine/datasets/tags/table) [tiger](/earth-engine/datasets/tags/tiger) [urban](/earth-engine/datasets/tags/urban) [us](/earth-engine/datasets/tags/us) \n\n#### Description\n\nThe United States Census Bureau regularly releases\na geodatabase named TIGER. This dataset contains the 2020 census\ntracts. Tract areas vary tremendously, but in urban areas are roughly\nequivalent to a neighborhood. There are just over\n85000 polygon features covering the United States, the District\nof Columbia, Puerto Rico, and the\n[Island areas](https://www.census.gov/programs-surveys/decennial-census/decade/2020/planning-management/release/2020-island-areas-data-products.html).\n\nFor full technical details on all TIGER 2020 products, see the\n[TIGER technical documentation](https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdf).\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|----------|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ALAND | DOUBLE | Land Area (square meters) |\n| AWATER | DOUBLE | Water Area (square meters) |\n| COUNTYFP | STRING | County FIPS Code |\n| FUNCSTAT | STRING | Functional Status (S = Statistical) |\n| GEOID | STRING | Unique Identifier of Summary Level, Characteristic Iteration, US, State, County, Tract, Block Group Code |\n| INTPTLAT | DOUBLE | Internal Point Latitude |\n| INTPTLON | DOUBLE | Internal Point Longitude |\n| MTFCC | STRING | MAF/TIGER Feature Classification Code |\n| NAME | STRING | 2020 Census tract name: this is the census tract code converted to an integer or integer plus 2-character decimal if the last two characters of the code are not both zeros. |\n| NAMELSAD | STRING | Full Name |\n| STATEFP | STRING | State FIPS Code |\n| TRACTCE | STRING | Census Tract Code |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe U.S. Census Bureau offers some of its public data\nin machine-readable format via an Application Programming Interface\n(API). All of the content, documentation, code and related materials\nmade available to you through the API are subject to [these terms and\nconditions](https://www.census.gov/data/developers/about/terms-of-service.html).\n\n### Citations\n\nCitations:\n\n- For the creation of any reports, publications, new data sets, derived\n products, or services resulting from the data set, users should\n [cite the US Census Bureau](https://www.census.gov/about/policies/citation.html).\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.FeatureCollection('TIGER/2020/TRACT');\n\nvar visParams = {\n min: 0.0,\n max: 1e7,\n palette: ['d8d9d9', 'aaaaaa', 'b6dfe9', '2ea3f2', '0c71c3']\n};\n\n// plotting the water area per polygon\ndataset = dataset.map(function (f) {\n return f.set('AWATER', ee.Number.parse(f.get('AWATER')));\n});\n\n\nvar image = ee.Image().float().paint(dataset, 'AWATER');\n\nMap.setCenter(-81.99172, 29.74101, 6);\nMap.addLayer(ee.Image(1), {min:0, max:1}, 'background');\nMap.addLayer(image, visParams, 'TIGER/2020/TRACT');\nMap.addLayer(dataset, null, 'for Inspector', false);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/TIGER/TIGER_2020_TRACT)\n\n### Visualize as a FeatureView\n\n\nA `FeatureView` is a view-only, accelerated representation of a\n`FeatureCollection`. For more details, visit the\n[`FeatureView` documentation.](/earth-engine/guides/featureview_overview)\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar fvLayer = ui.Map.FeatureViewLayer('TIGER/2020/TRACT_FeatureView');\n\nvar visParams = {\n opacity: 1,\n color: {\n property: 'AWATER',\n mode: 'linear',\n palette: ['d8d9d9', 'aaaaaa', 'b6dfe9', '2ea3f2', '0c71c3'],\n min: 0,\n max: 1e7\n }\n};\n\nfvLayer.setVisParams(visParams);\nfvLayer.setName('Water area by US census tract');\n\nMap.setCenter(-73.15, 40.9, 9);\nMap.add(fvLayer);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/TIGER/TIGER_2020_TRACT_FeatureView) \n[TIGER: US Census Tracts](/earth-engine/datasets/catalog/TIGER_2020_TRACT) \nThe United States Census Bureau regularly releases a geodatabase named TIGER. This dataset contains the 2020 census tracts. Tract areas vary tremendously, but in urban areas are roughly equivalent to a neighborhood. There are just over 85000 polygon features covering the United States, the District of Columbia, Puerto Rico, and ... \nTIGER/2020/TRACT, census,city,infrastructure-boundaries,neighborhood,table,tiger,urban,us \n2020-01-01T00:00:00Z/2020-01-02T00:00:00Z \n-14.69 -180 71.567 -64.435 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/TIGER_2020_TRACT)"]]
