U.S. Department of Health and Human Services Office of Disease Prevention and Health Promotion

Increase the proportion of children living with at least 1 parent who works full time — SDOH‑03 Data Methodology and Measurement

On this page:  About the National Data  |  Methodology  |  History

About the National Data

Data

Data Source:  Current Population Survey Annual Social and Economic Supplement (CPS-ASEC), Census and DOL/BLS

Baseline: 77.9 percent of children aged 17 years and under were living with at least 1 parent employed year round, full time in 2017

Target: 85.1 percent

Numerator
Number of children aged 17 years and under living with at least 1 parent who is employed 35 or more hours per week for 50 to 52 weeks per year.
Denominator
Number of children aged 17 years and under living with at least 1 parent.
Target-setting method
Projection
Target-setting method details
Linear trend fitted using weighted least squares and a projection at the 75 percent prediction interval.
1
Target-setting method justification
Trend data were evaluated for this objective. Using historical data points, a trend line was fitted using weighted least squares and the trend was projected into the next decade. This method was used because three or more comparable data points were available, the projected value was within the range of possible values, and a projection at the 75 percent prediction interval was selected because it was a statistically significant improvement from the baseline as a proxy for household stability.

Methodology

Methodology notes

Year-round, full time employment is defined as usually working full time (35 hours or more per week) for 50 to 52 weeks. Children living with parent excludes children living with relatives other than parents.

History

Comparable HP2020 objective
Retained, which includes core objectives that are continuing from Healthy People 2020 with no change in measurement.

1. Because Healthy People 2030 objectives have a desired direction (e.g., increase or decrease), the confidence level of a one-sided prediction interval can be used as an indication of how likely a target will be to achieve based on the historical data and fitted trend.