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Educational Attainment by Demographic Data

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Ready to use this data? See the Core LMI reference documentation to get started.

Description

This dataset shows the resident population who have achieved various levels of education. The data is displayed by area, race, and gender. It is available from 2001 and is projected 10 years out beyond the current calendar year. Data for the nation, states, MSAs, and counties are available. The data presented includes the population aged 25 years and above.

When requesting an MSA code as the area constraint in a query, the code must be prepended by MSA (e.g. for MSA code 10540, use 'MSA10540').

Use Cases

Questions answered by this dataset:

  • What is the educational attainment breakout for the Asian population in Seattle?
  • Has the percentage of people living in our town who hold at least a bachelor's degree changed?
  • What percentage of the population of Chicago has less than a high school diploma?

Metrics

  • Population: The number of people living in the area who match the designated dimensions.

Filters

  • Area (Nation, State, MSA, County)
  • Race
  • Gender
  • Education level
  • Year

Core LMI Metadata

This dataset is offered via the Core LMI API. The metadata for this Core LMI API dataset is below.

AttributeDescription
Dataset IDEMSI.us.EducationalAttainment
Dataset URLhttps://agnitio.emsicloud.com/meta/dataset/EMSI.us.EducationalAttainment/{version}
Area Aggregation Path

The area aggregation path refers to the hierarchy that shows how data is aggregated, starting from the lowest-level geography and progressing to the highest-level geography.

The levels in the aggregation path include:

Aggregation Path
1234
Level 1NationMetropolitan USNationMetropolitan US
2 State MSA State MSA
3 County County County County
4 Zip Code Zip Code Census Tract Census Tract

Datasets with lower granularity aggregates only up to Level 1

Versions

http://agnitio.emsicloud.com/meta/dataset/EMSI.us.EducationalAttainment/2026.2

Metrics

  {
"name": "<Metric>.<Year>"
  }

Valid Values for Metrics

{"Metric": ["Population"],
"Year": "2001-2036"    
}

Dimensions

[
{
  "name": "Area",
  "levelsStored": [
     "1",
     "2",
     "3"
  ]
},
{
  "name": "Race",
  "levelsStored": [
     "1",
     "2"
  ]
},
{
  "name": "Gender",
  "levelsStored": [
     "1",
     "2"
  ]
},
{
  "name": "EducationLevel",
  "levelsStored": [
     "1",
     "2"
  ]
}
]

Attributes

{
"minYearInclusive": "2001",
"name": "EducationalAttainment",
"type": "dataset",
"path": "EducationalAttainment",
"maxYearInclusive": "2036",
"description": "XXXXXXXXXXXXXXX",
"countryCode": "us",
"displayName": "US Educational Attainment by Demographic",
"currentYear": "2024",
"releaseDate": "2026-03-12 17:04:16.2714902Z",
"datarun": "2026.2",
"numAggPaths_AreaID": "2",
"levelsStored_AreaID": "[1:[1,2,3],2:[3]]"
}

Updated about 4 hours ago

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