U.S. Medicaid LTSS Data Dashboard
Explore how long-term services and supports are funded and delivered across all 50 states — free and interactive.
9.7M
Total LTSS recipients nationally
87%
Receiving care at home or in the community
$228.6B
 Total Medicaid LTSS spending (2023)
2019-23
Years of CMS data covered
About This Dashboard
Understanding how Long-Term Services and Supports (LTSS) are funded and delivered across the United States is essential for families, healthcare organizations, and technology innovators working in the aging space. This interactive dashboard draws on CMS data to explore Medicaid LTSS users, expenditures, and per-person costs across all 50 states from 2019 to 2023.
2023 National Snapshot
LTSS by care setting
| All LTSS | 9.7 M | $228.6 B | $23,620 |
| HCBS | 8.4 M | $145.9 B | $17,298 |
| Nursing Facility | 1.3 M | $68.8 B | $53,152 |
| Institutional (excl. NF) | 224 K | $13.9 B | $62,017 |
Key Findings
87%
Of all LTSS recipients receive care at home or in the community
3x
More expensive — nursing facility vs. home-based care per person
13%
Growth in home-based care 2019-2023 while nursing facility use dropped 18%
U.S. Medicaid LTSS Interactive Dashboard
Interactive Dashboard
In Collaboration With
Marcie (Xi) Mao, PhD Research Collaborator | Assistant Professor of Economics · University of Texas Rio Grande Valley
Dr. Mao brings econometric expertise and deep knowledge of Medicaid financing structures to the dashboard's data modeling and expenditure analysis.
Marcie (Xi) Mao, PhD Research Collaborator | Assistant Professor of Economics · University of Texas Rio Grande Valley
Dr. Mao brings econometric expertise and deep knowledge of Medicaid financing structures to the dashboard's data modeling and expenditure analysis.
Xuelei Sherry Ni, PhD Research Collaborator | Professor of Data Science and Analytics · Kennesaw State University
Dr. Ni leads the statistical analysis and visualization design, translating complex CMS datasets into accessible, actionable insights.
Xuelei Sherry Ni, PhD Research Collaborator | Professor of Data Science and Analytics · Kennesaw State University
Dr. Ni leads the statistical analysis and visualization design, translating complex CMS datasets into accessible, actionable insights.
About the Data
C1 - User Characterization Files (C1_LTSSUsrChar): State-level counts of unique Medicaid beneficiaries receiving LTSS, disaggregated by service setting (HCBS, Institutional, Nursing Facility, and Total) and demographic dimensions including age, sex, race/ethnicity, dual status, residence, and language.
C2 - Expenditure Characterization Files (C2_LTSSExpChar): Corresponding Medicaid expenditure data, organized by the same service setting and demographic structure. Population denominators sourced from U.S. Census Bureau PEP, July 1 estimates per state 2019-2023. Inflation adjustment uses CPI-U (FRED series CPIAUCSL).
Need Help Interpreting the Data?
Whether you're navigating care decisions, evaluating service gaps, or identifying market opportunities — we can help you turn this data into meaningful action.