It’s Not a Data Deficit: Why Registry Staffing Defines System Capacity (2026)
Does your registry have what it takes?
Today, early childhood professional registries are at an inflection point, built on decades of slow but steady growth, which allowed them to mobilize quickly when the pandemic hit the childcare industry hard. Spurred by the individual connections they maintain and the value of the data they capture, state policies slowly began to catch up, requiring early learning workforce members to register for employment or participation in support programs, particularly when serving in a role of direct care.
The system scales have tipped; we are now on a trajectory to project the capacity of workforce datasets encompassing over 1M workforce members. However, the registry’s rapid response to the complex landscape isn’t sustainable without sufficient staffing and skills to support these critical workforce support functions and data access requests. Staffing is not just “a problem,” it is the gating constraint that prevents every other solution (technology, governance, participation, standardization) from functioning.
In registries, staffing is operational capacity.
- Limited staff = manual workflows dominate
- Limited staff = backlog in data requests (causing months-long delays, with some registries reporting data request turnaround times exceeding 8-12 weeks)
- Limited staff = inability to maintain the data quality pipeline
Registries are not failing to adopt technology because solutions don’t exist; they are failing because they lack the staff capacity to implement, maintain, and transition to those systems. Registries and State Administrators owe it to themselves and the workforce to take a closer look at how they equip registries to maintain continuous quality improvements in data, saturation, and access. Alignment systems like PER exist, but adoption is capacity-limited, not concept-limited. Without adequate staffing, they lack sufficient capacity to consistently dedicate time to migrating legacy systems, configuring tools, cleaning historical data for integrations, managing vendors, and applying for alignment recognition. This equates to technological solutions being left on the table.
Our most recent article asks states to stop and take stock of where they are and how far they have come. To deeply consider existing workforce registry staffing roles and what they need workforce data to do, which questions are imperative to answer with data? Then, chart a future that enables workforce registry data to complete its lifecycle for optimal impact and contributions to resolving the childcare crisis. Registry functions and correlating staffing roles are outlined for consideration.
Registries risk sustained operational failure, characterized by prolonged data request backlogs, degraded data quality, delayed policy responsiveness, and limited capacity to absorb new participation requirements. From approvals to verification, and from customer support to data cleaning and requests, understaffing registries directly suppresses workforce data quality and access. In fact, rather than saying there is a Workforce Data Deficit, we need to acknowledge that a lack of funding and staffing directly prevents the national standardization of existing workforce data.
The Registry Capacity Constraint Model
Staffing shortages are not one issue among many; they are the binding constraint that is limiting:
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Technology implementation
No capacity to deploy or maintain systems
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Data access and governance throughput
Requests delayed due to staff backlog, not legal barriers
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Policy expansion (mandatory participation)
States avoid scaling requirements that they cannot operationalize
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National standardization (PER alignment)
Alignment requires staff time that does not exist. As a result, alignment systems like PER remain underutilized, not because of a lack of value or clarity, but because of insufficient staffing capacity to complete the alignment application process.
States are increasingly asking registries to function as real-time workforce data systems while funding them as administrative support programs. To assess this constraint within your state, funders and administrators should examine:
- Average time to fulfill workforce data requests
- Number of pending or delayed data requests
- Analyst and data management capacity relative to workforce size
- Deferred initiatives, including participation expansion or PER alignment, due to staffing limitations
These indicators provide a direct measure of whether registry systems are operating at minimum capacity or positioned to fully support workforce policy, investment, and accountability efforts. See the link below to explore what this looks like in practice, see the Registry Capacity Toolkit.
Shareable Link to: Registry Staffing List 2024
You can also download a PDF copy of this article here.
Explore the Registry Capacity Toolkit
To help states assess their current capacity and plan for sustainable investment, explore the full set of tools designed to support workforce data systems.
Explore the Registry Capacity Toolkit
Includes the Capacity Tier Model, a policy brief, and the system framework article.