Using Early Childhood Integrated Data to Design Financing Strategies
The Need
States and communities face major challenges when using data to understand key issues related to ECEC funding. Because federal and state governments have created separate programs such as Head Start, child care subsidies, state pre-kindergarten, special education services, and nutrition programs, each with its own administrative structure, eligibility rules, and reporting requirements, administrators are typically hampered with visibility only into their specific stream, with little transparency across the system.
As a result, states and communities operate with incomplete information. They cannot answer basic questions: How much total public funding supports each child’s care and education? Are resources reaching the children with the greatest needs? How much additional funding would be required to support more rigorous program standards or staff compensation goals? Without this clarity, strategic decision-making about any given funding stream is nearly impossible.
Early Childhood Integrated Data Systems (ECIDS) are a powerful tool for strategic funding design. By bringing data from multiple programs and funding streams into a single data system, ECIDS enables decision-makers to see the full picture: where money flows, who is being served, and where the largest gaps exist. This clarity allows decision-makers to allocate resources more equitably, supporting program quality and stability.
What follows are three questions that financing decisions ultimately come down to—and how ECIDS-enabled analysis answers each.
What does it cost to meet the standards we set?
The majority of children in ECEC are served in private programs operating on thin margins, with parent fees as their primary source of revenue. This financial pressure constrains quality—programs employ fewer staff, run higher ratios, and hire less qualified staff than would be optimal for children. Some programs receiving public funding (Head Start, state pre-K) operate under higher program standards and therefore incur higher costs. Cost modeling allows policymakers to understand the costs of meeting varied program standards and to identify which programs and communities are most underfunded relative to the standards they must meet.
ECIDS provides the data foundation for this cost analysis. It identifies the number of children in each classroom, the number and qualifications of teachers, the funding streams supporting each program, and, therefore, the standards that each program must meet. Integrated workforce data reveals staffing costs, a primary cost driver. Cost modeling then has the information needed to enable what-if analyses: What would it cost to raise all staff wages? What is the cost of improving teacher-child ratios? In this type of aspirational cost modeling, ECIDs can be used to identify
- which programs arecurrently receiving the most adequate funding and
- giventhe cost of high-quality resources and the program's current funding across all sources, how many additional resources might be needed to support a program?
Are funds reaching children and communities equitably?
Fiscal mapping traces incoming resources and visualizes resource allocations across funding streams and geographies. ECIDS can support fiscal mapping by tracing individual children to every funding source that serves them, whether a voucher or program-level grant.
This mapping can reveal stark inequities. Communities with similar demographics and needs may receive vastly different per-child funding, and individual children may receive wildly varied amounts depending on whether they are in a program that pulls down a single funding stream or multiple. When combined with cost model data, fiscal mapping can answer critical questions about funding adequacy. Are the resources flowing into a region sufficient, given what we know about the cost of high-quality ECEC? What do we know about the demographics of children not being served? What would it take to reach them?
How do we design and target a new investment?
States will need ECIDS to design equitable allocation strategies and to implement reforms. Let’s use a concrete example: improving workforce compensation. The ECE workforce faces persistent low wages, leading to recruitment challenges, high turnover, and a less-qualified workforce than desired. Many state leaders have prioritized raising wages to competitive levels.
But what is a competitive wage? ECIDS reveals the current credential composition of the workforce. Policymakers can use this data to set compensation goals, for example, by raising base wages to match those of other industries with similarly credentialed workers, where many ECE workers transition when they leave the field.
ECIDS is equally valuable for implementing the state’s funding strategy. .Suppose a state wants to offer tiered wage stipends based on credentials, with the highest stipend for bachelor's degree holders. ECIDS answers planning questions like: if we wanted to pay a wage supplement based on the difference between target wages and what they currently earn, how many educators would need a supplement, and what would the value of the supplement need to be? If workforce data is linked to program data, the ECIDS can facilitate passing funding directly to programs based on their staffing composition, with minimal new administrative burden.
Strategic financing is about clearly seeing where current funds go, understanding what's needed, and allocating resources based on evidence. ECIDS is the foundation for that clarity. When policymakers and data managers have integrated data, they can design funding systems that reach the children and communities that need them most.