Occupation Educational Attainment Percent Breakouts Data

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Description

This dataset shows educational attainment by occupation in percentages. Data is available by detailed SOC, but only at the national level. Data is only available for the root occupation (00-0000) and most detailed occupations (e.g. 11-1031).

In order to preserve the integrity of the raw data, no aggregations are performed along the Occupation dimension. Consequently, queries can only include identity mappings for Occupation constraints; i.e. users can only request a single occupation code per mapping.

Use Cases

Questions answered by this dataset:

  • What percent of Registered Nurses have Associate's degrees? What percent have Bachelor's degrees?

Metrics

  • Percent: What percent of the occupation selected has achieved the education level indicated

Filters

  • Occupation (5-digit SOC)
  • Education level

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.Occupation.EducationalAttainment
Dataset URLhttps://agnitio.emsicloud.com/meta/dataset/EMSI.us.Occupation.EducationalAttainment/{version}

Versions

http://agnitio.emsicloud.com/meta/dataset/EMSI.us.Occupation.EducationalAttainment/2025.4

Metrics

[
   {
      "name": "Percent"
   }
]

Dimensions

[
   {
      "name": "Occupation",
      "levelsStored": [
         "1",
         "2",
         "3",
         "4",
         "5"
      ]
   },
   {
      "name": "EducationLevel",
      "levelsStored": [
         "2"
      ]
   }
]

Attributes

{
   "name": "Occupation.EducationalAttainment",
   "path": "Occupation.EducationalAttainment",
   "type": "dataset",
   "countryCode": "us",
   "description": "# Description\n\nThis dataset shows educational attainment by occupation in percentages. Data is available by detailed SOC, but only at the national level. Data is only available for the root occupation (00-0000) and most detailed occupations (e.g. 11-1031).\n\nIn order to preserve the integrity of the raw data, no aggregations are performed along the Occupation dimension. Consequently, queries can only include identity mappings for Occupation constraints; i.e. users can only request a single occupation code per mapping.\n\n# Use Cases\n\n#### Questions answered by this dataset:\n\n* What percent of Registered Nurses have Associate's degrees? What percent have Bachelor's degrees?\n\n# Metrics\n\n* Percent: What percent of the occupation selected has achieved the education level indicated\n\n# Filters\n\n* Occupation (5-digit SOC)\n* Education level\n",
   "displayName": "US Occupation Educational Attainment Percent Breakouts",
   "minYearInclusive": "2023",
   "maxYearInclusive": "2023",
   "currentYear": "2023",
   "releaseDate": "2025-09-11 21:00:08.405127Z",
   "datarun": "2025.4",
   "onlyIdentityMapping": "OccID"
}