The 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 theIsland areas.
Unique Identifier of Summary Level, Characteristic Iteration, US, State, County, Tract, Block Group Code
INTPTLAT
DOUBLE
Internal Point Latitude
INTPTLON
DOUBLE
Internal Point Longitude
MTFCC
STRING
MAF/TIGER Feature Classification Code
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.
NAMELSAD
STRING
Full Name
STATEFP
STRING
State FIPS Code
TRACTCE
STRING
Census Tract Code
Terms of Use
Terms of Use
The U.S. Census Bureau offers some of its public data
in machine-readable format via an Application Programming Interface
(API). All of the content, documentation, code and related materials
made available to you through the API are subject tothese terms and
conditions.
Citations
Citations:
For the creation of any reports, publications, new data sets, derived
products, or services resulting from the data set, users shouldcite the US Census Bureau.
The 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 …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThe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)"]]
