Boone Indicators Dashboard

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Indicator View

People without Health Insurance

Number and percentage of people who reported having no health insurance. Data is self-reported as part of the American Community Survey (ACS) conducted by the Census Bureau.

People without Health Insurance

Number and percentage of people who reported having no health insurance. Data is self-reported as part of the American Community Survey (ACS) conducted by the Census Bureau.

YearByUnited StatesState of MissouriBoone CountyCity of ColumbiaColumbia Schools
2016
Under 18

4.5%
3,277,474

4.5%
61,873

2.3%
832

2.7%
597

2.2%
609

Under 65

10.0%
26,931,513

10.5%
528,800

7.4%
11,461

6.3%
6,716

7.4%
9,671

2015
Under 18

4.8%
3,533,985

5.7%
79,698

4.7%
1,692

4.7%
1,013

5.8%
1,658

Under 65

10.9%
29,365,544

11.4%
578,231

6.5%
10,172

6.3%
6,909

6.5%
8,430

2014
Under 18

6.0%
4,396,536

7.2%
99,972

4.6%
1,633

3.3%
723

5.4%
1,511

Under 65

13.5%
36,246,622

13.7%
690,717

8.4%
12,988

7.1%
7,512

8.4%
10,947

2013
Under 18

7.1%
5,234,332

7.0%
97,546

4.5%
1,552

4.6%
900

5.2%
1,399

Under 65

16.7%
44,735,016

15.2%
768,376

9.5%
14,450

8.7%
9,006

9.7%
12,477

2012
Under 18

7.2%
5,263,807

7.0%
98,033

8.2%
2,834

10.2%
2,172

8.4%
2,433

Under 65

16.9%
45,212,231

15.8%
797,863

11.8%
17,791

11.3%
11,654

11.8%
15,332

2011
Under 18

7.5%
5,527,657

6.7%
94,934

2.1%
717

2.7%
546

2.2%
613

Under 65

17.3%
45,983,598

15.8%
803,867

9.4%
14,021

9.3%
9,334

8.8%
10,918

2012 - 2016
Under 18

5.9%
4,333,068

6.3%
87,432

4.9%
1,729

5.3%
1,141

5.4%
1,534

Under 65

13.5%
36,293,307

13.2%
669,498

8.9%
13,737

7.8%
8,268

8.9%
11,575

2007 - 2011
Under 18

-

-

-

-

-

Under 65

-

-

-

-

-

Data Source: ACS - The American Community Survey (ACS) is an ESTIMATE of each indicator, which means there is a margin of error. Future versions of the dashboard will display margins of error. For now, exercise caution with 1-year estimates for Boone County, the City of Columbia and the Columbia School District. The 5-year estimates (for example 2012-2016) are much more reliable.1 of 1