Open Data: Kentucky MSW Census Dataset

The dataset

The full Kentucky MSW census — all 9 verified programs with accreditation status, delivery formats, track credit totals, published per-credit rates, and calculated tuition estimates — is available as structured JSON for researchers, counselors, and journalists.

Figures carry their rate year and residency basis. null means the input was not published — not zero, not unknown-by-us: unpublished by the university.

Schema preview

[
  {
    "name": "University of Kentucky",
    "city": "Lexington",
    "control": "Public",
    "csweStatus": "Accredited",
    "delivery": [
      "Campus (Lexington)",
      "Online (regular & advanced standing)"
    ],
    "tracks": [
      {
        "track": "Regular standing",
        "credits": 60,
        "estimatedTotalTuitionUSD": 47400
      },
      {
        "track": "Advanced standing",
        "credits": 30,
        "estimatedTotalTuitionUSD": 23700
      }
    ],
    "publishedPerCreditUSD": 790,
    "rateYear": "2025–26",
    "residency": "All online students (UK charges in-state tuition for all online social work students)"
  },
  {
    "name": "University of Louisville",
    "city": "Louisville",
    "control": "Public",
    "csweStatus": "Accredited",
    "delivery": [
      "Campus (Louisville)",
      "Online (MSSW)"
    ],
    "tracks": [
      {
        "track": "Regular standing",
        "credits": 60,
        "estimatedTotalTuitionUSD": 51000
      },
      {
        "track": "Advanced standing",
        "credits": 30,
        "estimatedTotalTuitionUSD": 25500
      }
    ],
    "publishedPerCreditUSD": 850,
    "rateYear": "current published",
    "residency": "Online students (standard rate; program exceptions apply)"
  }
]

Full dataset: Download census-data.json

Use and citation

You may reuse this data with attribution: "Kentucky MSW True-Cost Census, MSWKentucky.com, 2027 edition (verified October 2026)." Calculated estimates must be reproduced with their rate year, residency basis, and the formula (per-credit rate × credits), and must carry the same exclusions (fees, books, living costs).

The underlying tuition rates and credit totals are facts published by the universities, linked from each program profile. This dataset adds no new facts — only the arithmetic.