Prevention Dashboard

DCYF’s Office of Innovation, Alignment, and Accountability (OIAA) is pleased to publish our first-ever data dashboard specifically to support the agency’s efforts to prevent child maltreatment.

Strengthen Families Locally is a multi-year DCYF community-based prevention initiative taking place in four communities across Washington State. As a part of this initiative, OIAA has provided the local communities with aggregate descriptive data they requested about characteristics and trends of children and families involved in the state’s child welfare system, to help inform their local prevention planning efforts. This initial iteration of the Prevention Dashboard represents many of the aggregate descriptive data points requested by the Strengthen Families Locally communities. Here we’ve expanded the data to include all counties in the state.

Much of the data requested by the Strengthen Families Locally communities to inform their planning, and contained in these initial dashboards, are what we know about children entering out-of-home care (OOH care) – age distribution, counts, rates, trends over time, and race/ethnicity. In 2022, about 3,370 children entered out-of-home care statewide, a record low for Washington State.

These dashboards also include descriptive data on children in Child Protection Services (CPS) intakes – rates of intakes “screened-in” for a CPS response, as well as the types of referents referring to CPS. In 2022, DCYF received CPS intakes involving more than 89,000 children statewide, and 46,000 total children in intakes screened in for a CPS response.

Some of the dashboard views focus on children age 0 to 1 (or birth to just under 2 years old). This group of children enter out-of-home care at a high rate, and the Strengthen Families Locally communities have identified that early intervention with this group of children and their families can be especially impactful. 

OIAA expects to update these dashboards annually. In addition, we will be working to develop additional dashboards to support other related DCYF prevention efforts.

Additional data resources that may be of interest to help inform child maltreatment prevention efforts:


"Indicated parental substance use” includes two subgroups of children often seen in other DCYF/OIAA analyses: 1) Substance exposed/affected infants, and 2) Children entering care with parental substance use as a contributor to the lack of child safety. While most of the infants in the first category who enter care their first year of life are also in the second category (88% in 2022), the overlap is not complete, so we’ve combined the two groups here for a more complete count. In 2022, more than 780 children entered out-of-home care with “indicated parental substance use."

Masking – Due to data confidentiality, cell sizes <10 are masked/redacted/not visible.

De-duplication – in all views, children are de-duplicated within years, so that the data represent unique children, rather than cases, intakes, or placements within each year.

Race/Ethnicity – OIAA makes use of WSRDAC/M reporting standard for reporting race/ethnicity (Washington State Racial Disproportionality Advisory Committee/Modified). This means we have disaggregated and recombined the multi-racial category, so that multiracial American Indian/Alaska Native (AI/AN) and multiracial Black/African American children will appear in the larger AI/AN and Black categories. For reference on why and how we use this method, see OIAA’s report: Using Data in DCYF to Advance Racial Equity, 2021.

Data Source: DCYF Entries into Care and Intake data, from OIAA FamLink Data Warehouse, 2010-2022.

Data Files


This dashboard was funded by the Children's Bureau, Administration on Children, Youth and Families, Administration for Children and Families, U.S. Department of Health and Human Services, under grant #90CA1866. The contents of this dashboard are solely the responsibility of DCYF, and do not necessarily represent the official views of the Children's Bureau.

Questions? For questions about the maps or underlying data, email