Children's oral health problems

Past year oral health problems (toothaches, bleeding gums, decayed teeth or cavities) by:

 

We analyzed the prevalence of children’s oral health problems by sex, age group, race and ethnicity and special healthcare needs of the child. We also looked at household poverty, primary language spoken, parent and guardian education, health insurance and household poverty as possible factors associated with children’s oral health problems. Below we report on factors in Minnesota that are statistically significant.


Children's past year oral health problems, 2012-2014 to 2018-2019

Click data points for more information
 

Source: National Survey of Children's Health.

 

Children (1 to 17 years) with at least one oral health problem in the past year

2012-2014

2016-2017

2018-2019

United States

Percent

18.7%

13.8%

14.0%

 

95% Confidence Interval

18.1 to 19.4

13.1 to 14.5

13.4 to 14.7

 

Number (sample size)

14,736

7,470

7,023

 

Estimated population

12,980,922

9,571,292

9,754,059

Minnesota

Percent

14.9%

10.4%

10.0%

 

95% Confidence Interval

12.4 to 17.5

8.0 to 13.3

7.7 to 12.9

 

Number (sample size)

222

151

93

 

Estimated population

179,805

115,536

123,840

 

Data is based on a survey of parent or guardian reported measures of non-institutionalized children (i.e., children not in jail, prison or hospital setting). Total sample size: U.S. = 59,963 and Minnesota = 1,158. *Unstable rate: Use caution when interpreting rates based on a sample size less than 50 or an estimate with a 95% confidence interval width exceeding 20 percentage points or 1.2 times the estimate. ^Suppression rate: When the denominator is less than 30, numbers are suppressed. Percentages are weighted to population characteristics. See About the National Survey of Children’s Health data for more information.

 

In 2018-2019, there was a five percentage point decrease in U.S. and Minnesota children experiencing oral health problems (toothaches, bleeding gums or decayed teeth or cavities) within the past year, compared to 2012-2014. However, survey methodology changes and smaller sample sizes since 2016 could explain the decrease.