Managed Health Care · KFF (Kaiser Family Foundation)
KFF — State Health Policy: Medicaid & CHIP Indicators Data
Datadory delivers managed health care data covering kff state health policy medicaid chip indicators data: roughly 209 state-level Medicaid and CHIP series organized into about 40 topical groupings - led by an 11-measure Managed Care Market Tracker spanning MCO enrollment, spending, penetration rates, parent-firm financials and MLR requirements - normalized into typed state-year rows and delivered daily, weekly, or hourly.
API, files, or your warehouse. Daily, weekly, or hourly.
What is the KFF state health policy Medicaid & CHIP indicators dataset?
It is the policy-analyst's index of the country's largest health program, delivered as typed state-year tables instead of browser tabs. Roughly 209 linked indicators organize into about 40 topical groupings - enrollment, spending, eligibility, long-term care, prescription drugs, provider taxes and behavioral health - and each grouping links to an individual indicator page that renders a per-state table, map or trend graph.
The headline section for managed-care work is the Managed Care Market Tracker, six subsections deep: state-level MCO data (total Medicaid MCOs, total Medicaid MCO enrollment, penetration rates by eligibility group), MCO-level data (enrollment by plan and parent firm for 2024), parent-firm financial information for for-profit MCO parents, state-level MCO spending, contract requirements (SDOH-related policies states require in managed care contracts, minimum medical-loss-ratio remittance requirements), and additional state-level series (Medicaid managed care enrollment by plan type, dual-eligible enrollment by plan type, limited-benefit program enrollment).
Eleven of the roughly 209 indicators are managed-care-specific, and that subsection carries this slice's highest quality score in our catalog: 9/10. Get a sample of this dataset cut to the indicators, states and year-periods you name.
What do sample rows look like?
One row per state per year-period per indicator. Four verified rows from the Total Medicaid MCO Enrollment indicator:
# one state-year row from the Total Medicaid MCO Enrollment indicator
Year period : 2024
Location : Arizona
Comprehensive Risk-Based Managed Care Enrollees : 1,843,297
Percent of State Medicaid Enrollment : 0.84
Notes/Sources : Data are as of July 1
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# same period, the United States aggregate row
Year period : 2024
Location : United States
Comprehensive Risk-Based Managed Care Enrollees : 66,512,237
Percent of State Medicaid Enrollment : 0.78
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# other verified rows in the pool
Year period : 2024 | Location : California | Enrollees : 14,305,060 | Share : 0.96
Year period : 2024 | Location : Hawaii | Enrollees : 432,125 | Share : 1.00These are captured values, not illustrations: the national aggregate shows 66.5 million people in comprehensive risk-based MCOs at a 0.78 share, while Hawaii sits at a full 1.00 share and California at 0.96 with 14.3 million enrollees - three states, three different managed-care postures, read off one indicator. Get a sample and rows arrive in exactly this shape, cut to your named states and periods.
Which fields does the field dictionary define?
Five fields carry each state-year row on the verified enrollment indicator. Location pins the geography, with every table carrying the United States aggregate alongside the states so national and state figures reconcile in place rather than across files. Comprehensive Risk-Based Managed Care Enrollees holds the count, Percent of State Medicaid Enrollment holds the pre-computed decimal share, Year period labels the stacked table the row belongs to, and Notes/Sources preserves the vintage note ('Data are as of July 1, or June 30 for years prior to 2010') that makes the number citable.
Indicator-level fields widen from there - penetration rates split by eligibility group, plan and parent-firm names, spending totals, MLR remittance flags - and are confirmed against live records when your sample is cut, which is also where column naming locks down for your pipeline.
How wide does coverage run, and at what grain?
Geography - all 50 states plus DC and territories where available, with the United States aggregate row on every table.
Temporal - multi-year series per indicator; the MCO enrollment indicator alone stacks 21 year-periods, so trend lines come free rather than being rebuilt from annual snapshots.
Granularity - state level throughout, with select indicators breaking out by eligibility group, plan type, parent firm or month. That spread is the point: a 50-state benchmarking matrix and a single-state penetration study draw from the same inventory.
How is the data delivered?
API, files, or your warehouse. Daily, weekly, or hourly.
Your cadence runs independent of indicator publication rhythm - take a one-off extract of the Market Tracker section for a market-sizing sprint, or keep a landing schema current so each new year-period appends cleanly instead of forcing a rebuild. Deliveries arrive normalized to the field dictionary above with indicator names and vintage notes intact, so a figure's provenance chain survives the trip into your storage.
Who uses this data, and for what?
- Penetration-rate benchmarking - Percent of State Medicaid Enrollment turns 'how delegated is this state' into a comparable number across all 50.
- Parent-firm concentration analysis - MCO enrollment by plan and parent firm plus for-profit parent financials support market-share and HHI math no federal enrollment table reaches.
- Spending trajectory tracking - Total Medicaid MCO Spending pairs with enrollment to yield per-member cost curves over the stacked periods.
- Contract-requirement diffs - SDOH policy requirements and MLR remittance rules let you diff what states demand of their plans, state by state.
- Dual-eligible and plan-type studies - enrollment by plan type and dual-eligible breakouts isolate the segments general enrollment files blur.
- Trend-line assembly - up to 21 year-periods per indicator builds longitudinal panels without stitching annual editions together.
Which personas get the most value?
Market researchers and consultants lead: pre-computed penetration rates and parent-firm tables are client-deck material attributed to a named nonprofit publisher; see market researchers. Investors and quant researchers (high fit) read parent-firm financials and enrollment concentration as payer-mix evidence ahead of earnings; see investors and quants. Journalists and academics get citation-grade attribution built into every indicator's vintage notes; see journalists and academics. Competitive intel and product teams diff contract-requirement series to catch states shifting plan obligations; see competitive intel product teams. Policy analysts and data scientists assemble the stacked periods into panels and models; see data scientists.
How does it compare to alternatives in its slice?
Within managed health care data, this record owns the pre-computed ratio position. The Data.Medicaid.gov CMS portal record (data-medicaid-gov-cms-medicaid-data-portal) goes deeper on raw program tables - 549 public datasets including managed-care enrollment from 2016 forward - where you compute your own shares; here the shares arrive computed. The Data.gov medicaid managed care search record (data-gov-medicaid-managed-care-search) indexes the same CMS core as catalog metadata rather than resolved numbers. Its KFF siblings bracket it: the broader KFF State Health Facts catalog spans 800+ indicators across all of health policy, while the March 2026 managed care issue brief compresses the field into ten findings. When the answer should be a ratio rather than a raw table, this is the record.
What should I know before requesting a sample?
Three things worth knowing upfront. First, indicators are HTML pages with numeric payloads layered underneath, so extraction discipline matters - our researchers verify the payload structure per indicator during the pass, which is why the dictionary above maps to observed values only. Second, the Market Tracker section is the narrow door into managed care: 11 dedicated indicators inside a ~209-indicator catalog, so name the section explicitly if managed care is all you want. Third, vintage notes differ by indicator - most run to July 1 reporting dates, earlier years to June 30 - so keep Notes/Sources beside any number you cite. Name your indicators, states and periods, and the sample lands in exactly the schema shown above.
Field dictionary
Every field below is documented against real records. The full dictionary ships with the sample.
| field | type | definition | example |
|---|---|---|---|
Location | string | U.S. state name or 'United States' national aggregate row in each indicator table. | Arizona |
Comprehensive Risk-Based Managed Care Enrollees | integer | Number of Medicaid enrollees in comprehensive risk-based MCOs on the Total Medicaid MCO Enrollment indicator. | 1,843,297 |
Percent of State Medicaid Enrollment | number | Share of total state Medicaid enrollment in comprehensive risk-based MCOs, expressed as a decimal fraction. | 0.84 |
Year period | string | Top-level key labeling each stacked table on an indicator; the MCO enrollment indicator stacks 21 periods. | 2024 |
Notes/Sources | text | Footer metadata describing data vintage and reporting conventions for the indicator. | Data are as of July 1 (or June 30 for years prior to 2010) |
What teams do with it
- Penetration-rate benchmarking Percent of State Medicaid Enrollment turns 'how delegated is this state' into one number comparable across all 50.
- Parent-firm concentration analysis Enrollment by plan and parent firm plus for-profit parent financials support market-share and HHI math no federal enrollment table reaches.
- Per-member spending curves Total Medicaid MCO Spending paired with enrollment yields cost-per-member trajectories across the stacked periods.
- Contract-requirement diffs SDOH policy requirements and MLR remittance rules let you diff what states demand of their plans, state by state.
- Dual-eligible segment studies Enrollment by plan type and dual-eligible breakouts isolate the segments general enrollment files blur into the total.
- Longitudinal panel assembly Up to 21 year-periods per indicator builds trend lines without stitching annual editions together.
Questions buyers ask
What does kff state health policy medicaid chip indicators data contain?
Roughly 209 state-level Medicaid and CHIP indicators organized into about 40 topical groupings - enrollment, spending, eligibility, long-term care, prescription drugs, provider taxes and behavioral health - including an 11-series Managed Care Market Tracker covering total MCOs, MCO enrollment, penetration rates by eligibility group, enrollment by plan and parent firm, parent-firm financials, MCO spending, SDOH contract policies and MLR remittance requirements.
Which Managed Care Market Tracker indicators stand out?
Six subsections carry the eleven managed-care measures: Total Medicaid MCOs, Total Medicaid MCO Enrollment and Medicaid Managed Care Penetration Rates by Eligibility Group at state level; Medicaid MCO Enrollment by Plan and Parent Firm for 2024; For-Profit Parent Firm Financial Information; Total Medicaid MCO Spending; SDOH-related contract policies and Minimum Medical Loss Ratio remittance requirements under contract requirements; and plan-type and dual-eligible enrollment series beyond them.
How far back does the temporal reach go?
Indicators stack multiple year-periods per table - the Total Medicaid MCO Enrollment indicator returned 21 stacked year-periods in a single pull during our August 2026 research pass, reaching back well before the Affordable Care Act expansion era. Current-period values report as of July 1 dates, or June 30 for years prior to 2010, with the vintage note preserved in Notes/Sources.
Does the data include parent-firm financial detail?
Yes - it is the only series of its kind in this industry slice. Medicaid MCO For-Profit Parent Firm Financial Information reports revenue and related figures for the corporate parents behind state MCO contracts, pairing with the MCO Enrollment by Plan and Parent Firm table so market-share and concentration analysis runs on named firms rather than anonymous plan counts.
Is medical-loss-ratio requirement data included?
Yes. States Reporting Medicaid MCO Minimum Medical Loss Ratio (MLR) Remittance Requirements documents which states impose MLR remittance rules on their managed care plans, sitting beside the SDOH contract-policy indicator so contract-requirement comparisons run state by state without leaving the dataset.
Can a sample be cut to specific states, indicators and periods?
That is exactly how samples ship: name the indicators, the states and the year-periods, and rows arrive in the schema shown above - Location, value fields, Percent of State Medicaid Enrollment where defined, Year period and Notes/Sources intact. Indicator-level fields beyond the confirmed five confirm against live records when the sample is cut, which is also where column naming locks down for your pipeline.
Notes on this record
- Provenance Compiled during the August 2026 research pass against the live catalog; the ~209-indicator count, the 11 Market Tracker measures and the 21 stacked year-periods are point-in-time readings of that pass.
- Ratio-first positioning Federal tables hand you numerators; this catalog hands you the computed share. Pair both when a model needs the raw count and the published ratio side by side.
- Vintage discipline Most indicators report as of July 1, earlier years as of June 30; the Notes/Sources footer travels with every delivered row so citations stay exact.
- Section targeting The Managed Care Market Tracker is six subsections inside a much wider catalog - name it explicitly and the sweep stays tight instead of dragging in 200 adjacent indicators.
- Sibling records The 800+ indicator KFF State Health Facts catalog widens the lens to all of health policy; the March 2026 issue brief adds the narrative layer this numeric catalog deliberately skips.
- Sample policy Samples ship in the exact schema shown above, cut to your named indicators, states and periods; indicator-specific columns confirm with the sample.
See the rows before you pay anything.
Name this dataset and we send real records from it — scoped to the fields you asked for.