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Table 1.70: Percent of children age 3-6 whose vision was checked by a doctor or other health provider, United States, 2001
| Population group |
Total population (in thousands)d |
Percent ever had vision check |
Standard error |
| |
|
|
|
| Total |
15,821 |
59.3 |
1.5 |
| |
|
|
|
| Race |
|
|
|
| White |
12,275 |
58.1 |
1.7 |
| Black |
2,658 |
66.5 |
3.2 |
| Asian or Pacific Islander |
DSU |
DSU |
DSU |
| American Indian or Alaska Native |
DSU |
DSU |
DSU |
| |
|
|
|
| Race/ethnicity |
|
|
|
| Hispanic |
3,139 |
51.6 |
2.6 |
| Non-Hispanic |
12,682 |
61.2 |
1.7 |
| White |
9,324 |
59.9 |
2.0 |
| Black |
2,537 |
67.7 |
3.1 |
| Other |
DSU |
DSU |
DSU |
| |
|
|
|
| Gender |
|
|
|
| Male |
8,046 |
60.7 |
1.8 |
| Female |
7,775 |
57.8 |
2.1 |
| |
|
|
|
| Insurance |
|
|
|
| Any private |
10,374 |
62.1 |
1.9 |
| Public only |
4,276 |
55.1 |
2.3 |
| Uninsured |
1,170 |
49.0 |
5.1 |
| |
|
|
|
| Family incomea |
|
|
|
| Negative or poor |
2,999 |
53.0 |
2.8 |
| Near poor/low income |
3,690 |
57.6 |
2.7 |
| Middle income |
5,081 |
56.1 |
2.7 |
| High income |
4,050 |
69.4 |
2.8 |
| |
|
|
|
| Residence locationb |
|
|
|
| Metropolitan-large |
8,962 |
59.8 |
2.1 |
| Metropolitan-small |
4,382 |
59.0 |
2.6 |
| Micropolitan |
1,714 |
55.2 |
4.3 |
| Noncore |
763 |
63.3 |
4.6 |
| |
|
|
|
| Perceived health status |
|
|
|
| Excellent, very good or good |
15,522 |
59.2 |
1.5 |
| Fair or poor |
DSU |
DSU |
DSU |
| |
|
|
|
| CSHCNc |
|
|
|
| Yes |
2,344 |
70.7 |
3.0 |
| No |
13,429 |
57.3 |
1.7 |
| |
|
|
|
a "Negative or poor" refers to household incomes below the Federal poverty line; "near poor/low income", over the poverty line to just below 200 percent of the poverty line; "middle income", 200 percent to just below 400 percent of the poverty line; and "high income", 400 percent of the poverty line and over.
bSee the MEPS entry in the Data Sources section of the Measures Specifications Appendix for more information.
c CSHCN: children with special healthcare needs.
dNumbers may not add to Total due to missing or rounding.
DSU - Data do not meet the criteria for statistical reliability, data quality or confidentiality.
Source: Agency for Healthcare Research and Quality, Center for Financing, Access and Cost Trends, Medical Expenditure Panel Survey.
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