RUCC
Data and Resources
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| Field | Value |
|---|---|
| Publications | 408 |
| access_type | Open |
| aliases | ["Rucc", "Rural-urban Continuum Code", "Rural-urban Continuum Codes"] |
| contextual_insight_id | 3a646c8a-eab3-4951-80ac-831ba3a7b1a9 |
| creationMethod | N/A |
| creatorEmail | N/A |
| creatorName | N/A |
| dataType | N/A |
| endDateTime | 2027-04-02T12:45:54 |
| flag_terms | ["Economic Research Service", "OMB", "Office of Management and Budget", "U.S. Census Bureau", "U.S. Department of Agriculture", "USDA", "United States Department of Agriculture"] |
| issueDate | 2025-02-25 |
| lastUpdateDate | 2025-04-02 |
| pocEmail | ersweb@ers.usda.gov |
| pocName | ERS Customer Service |
| publisherEmail | askusda@usda.gov |
| publisherName | U.S. Department of Agriculture (USDA) |
| purpose | To classify all U.S. counties into nine rural–urban categories based on metropolitan status, urban population size, and adjacency to metro areas, supporting nuanced rurality analysis, aiding policy and funding decisions, and enabling longitudinal tracking of rural–urban trends. |
| startDateTime | 2025-04-02T12:45:51 |
| status | draft |
| theme | [] |
| uploadType | dataset |
| Groups |
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| Tags |
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| author | N/A |
| author_email | unknown@example.com |
| isopen | False |
| license_id | N/A |
| license_title | N/A |
| maintainer | N/A |
| maintainer_email | unknown@example.com |
| metadata_created | 2026-10-30T17:09:17.762411 |
| metadata_modified | 2026-10-30T17:09:17.762415 |
| notes | The Rural-Urban Continuum Codes (RUCC), developed by the U.S. Department of Agriculture's Economic Research Service (ERS), classify U.S. counties by their level of urbanization and proximity to metropolitan areas. Counties are categorized as metropolitan or nonmetropolitan, with further divisions based on population size, urbanization level, and adjacency to metro regions. The RUCC provides a detailed framework that supports research and policy analysis in areas such as public health, sociology, regional planning, and economic development. It is widely used for identifying rural-urban disparities and integrates Census data, aligning with Office of Management and Budget (OMB) metro delineations for consistent updates. Its nuanced stratification is particularly valuable in studies like the Alzheimer's Disease Neuroimaging Initiative (ADNI), which explore the social determinants of health. |
| num_resources | 4 |
| num_tags | 5 |
| title | RUCC |
| url | N/A |
| version | N/A |