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Market Composition
Centers by Ownership Type
Capacity by Ownership Type
Nonprofit vs For-Profit Side-by-Side
Nonprofit side includes Government/Public, Nonprofit, and Faith-Based. For-Profit side includes PE-backed and Independent.
Facility Type Mix: Nonprofit Side
Facility Type Mix: For-Profit Side
Who Serves Infants?
County Ownership Composition
Top 20 counties by total centers. Stacked bars show ownership mix. Click a county in the sidebar for detail.
Top 20 Counties — Ownership Composition
Ownership Breakdown
Structural Shift: Who Provides Child Care Over Time
New licensed programs by year, stacked by ownership type. For-profit independents have exploded since 2010. Government programs peaked in the early 1990s. Faith-based growth stalled after the 1990s.
Facility Type Analysis
Who runs infant centers? Day care centers? School-age programs? Ownership composition varies dramatically by facility type.
Ownership Composition by Facility Type
Detail Table
| Facility Type | Total | Gov/Public | Nonprofit | Faith-Based | FP (PE) | FP (Indep) | Unclassified |
|---|
Faith-Based Deep Dive
11.6% of licensed centers are faith-based — churches, temples, and religious organizations running child care. Often invisible in policy discussions.
Top 20 Counties by Faith-Based Centers
Faith-Based Centers by Facility Type
Program Table
| Facility | Licensee | Category | Subcategory | City | County | Type | Capacity |
|---|
Methodology and Limitations
Data source: California Department of Social Services, Community Care Licensing Division.
Child Care Centers file downloaded March 15, 2026. Only records with status "LICENSED" are included (13,956 centers).
Classification approach: Each center is classified by matching its licensee and facility name against pattern libraries:
government patterns (school districts, city/county agencies), nonprofit patterns (YMCA, Head Start, community organizations),
faith-based patterns (churches, temples, religious keywords), PE-backed chain keywords (KinderCare, Bright Horizons, etc.),
and for-profit signals (LLC, sole proprietor name patterns).
Inc. ambiguity: Entities ending in "Inc." are ambiguous — they could be nonprofit or for-profit corporations.
The classifier uses keyword signals (e.g., "community," "children's services" suggest nonprofit; absence suggests for-profit)
to make a best guess. These are labeled "Likely Nonprofit (Inc.)" or "Likely For-Profit (Inc.)" in the detailed data.
For display, they are merged into Nonprofit and For-Profit (Independent) respectively.
Faith-based classification: Faith-based centers are identified by religious keywords in the licensee or facility name.
Many are operated as nonprofits, but some may be for-profit. They are kept as a separate category because their organizational
character differs from secular nonprofits.
Unclassified centers: 17.1% of centers could not be confidently classified. These are typically entities
with generic names that lack clear government, nonprofit, faith-based, or for-profit signals.
PE-backed chains: Identification follows the same keyword approach as the companion PE analysis.
Franchise brands (Goddard, Primrose, Kiddie Academy) may represent independently owned operators rather than direct corporate ownership.
Limitations: This is a heuristic classification, not a verified legal determination.
Actual nonprofit status requires checking IRS 501(c)(3) records. Some centers may be misclassified.
The timeline uses license first date, which may not reflect the actual founding date of the organization.