Population With Vision Difficulty (Aged 0-17 Years) (Census ACS)

The number of people under 18 with vision disability.

This measure is used to help better understand the characteristics of the population.

In 2022, the percentage of Population With Vision Difficulty (Aged 0-17 Years) (Census ACS) in Alachua County was 0.5 compared to Florida at 0.8. The line graph shows change over time when there are at least three years of data.

Alachua County is in the first quartile for this measure. This means that relative to other counties in Florida, there are more Population With Vision Difficulty (Aged 0-17 Years) (Census ACS) in about three quarters of the counties

The map illustrates county data by quartile. A quartile map is presented when there are at least 51 counties with data for this measure.

Links: Healthy People 2030 | Other Resource

Select Measure Type

Alachua County

County

Year

Count/Rate

Population With Vision Difficulty (Aged 0-17 Years) (Census ACS), Single Year

Click on county name or “Florida” in the legend to hide or show the county or state.

Population With Vision Difficulty (Aged 0-17 Years) (Census ACS), Percentage of Census population under 18, Single Year

Population With Vision Difficulty (Aged 0-17 Years) (Census ACS), Percentage of Census population under 18, Single Year
	Alachua				Florida
Data Year	Count	Denom	Percent (%)	MOV	Count	Denom	Percent (%)	MOV
2022	252	49,377	0.5^*	0.1	33,252	4,235,429	0.8	0.0
2021	201	50,176	0.4^*	0.1	34,286	4,261,313	0.8	0.0
2020	228	48,184	0.5^*	0.1	33,640	4,214,444	0.8	0.0
2019	156	47,742	0.3^*	0.1	30,628	4,182,462	0.7	0.0
2018	228	47,370	0.5^*	0.1	30,066	4,148,552	0.7	0.0
2017	198	46,756	0.4^*	0.1	30,946	4,111,582	0.8	0.0
2016	145	46,199	0.3^*	0.1	28,636	4,066,276	0.7	0.0
2015	107	45,669	0.2^*	0.0	28,087	4,041,123	0.7	0.0
2014	106	45,220	0.2^*	0.0	27,639	4,020,977	0.7	0.0
2013	76	44,824	0.2^*	0.0	26,883	4,006,795	0.7	0.0
2012	161	44,389	0.4^*	0.1	25,108	4,002,373	0.6	0.0

Florida

Year

Population With Vision Difficulty (Aged 0-17 Years) (Census ACS), Percent of Census population under 18, 2022

*Mouseover map to see county name and value. *Click a legend category to hide or show that category.

Population With Vision Difficulty (Aged 0-17 Years) (Census ACS), Percent of Census population under 18, 2022 MOV Graph

Population With Vision Difficulty (Aged 0-17 Years) (Census ACS), Percent of Census population under 18, 2022
County	Count	Denom	Percent (%)	MOV
Florida	33,252	4,235,429	0.8	0.0
Alachua	252	49,377	0.5^*	0.1
Baker	39	6,575	0.6^*	0.2
Bay	560	37,708	1.5^*	0.1
Bradford	135	5,474	2.5^*	0.4
Brevard	1,158	110,393	1.0^*	0.1
Broward	2,666	405,002	0.7^*	0.0
Calhoun	20	2,683	0.7	0.3
Charlotte	170	22,419	0.8	0.1
Citrus	92	22,889	0.4^*	0.1
Clay	220	50,346	0.4^*	0.1
Collier	269	63,332	0.4^*	0.1
Columbia	70	15,466	0.5^*	0.1
Miami-Dade	3,537	540,286	0.7^*	0.0
DeSoto	35	6,261	0.6^*	0.2
Dixie	21	2,985	0.7	0.3
Duval	1,330	222,816	0.6^*	0.0
Escambia	778	66,849	1.2^*	0.1
Flagler	31	19,306	0.2^*	0.1
Franklin	0	1,932	0.0
Gadsden	85	9,673	0.9	0.2
Gilchrist	31	3,591	0.9	0.3
Glades	32	1,763	1.8^*	0.6
Gulf	0	2,242	0.0
Hamilton	45	2,714	1.7^*	0.5
Hardee	73	6,490	1.1^*	0.3
Hendry	102	10,129	1.0	0.2
Hernando	353	36,103	1.0^*	0.1
Highlands	237	17,157	1.4^*	0.2
Hillsborough	1,913	320,513	0.6^*	0.0
Holmes	1	3,996	0.0
Indian River	186	24,668	0.8	0.1
Jackson	166	8,922	1.9^*	0.3
Jefferson	0	2,480	0.0
Lafayette	0	1,476	0.0
Lake	423	73,351	0.6^*	0.1
Lee	1,072	132,836	0.8	0.0
Leon	706	54,119	1.3^*	0.1
Levy	116	8,430	1.4^*	0.2
Liberty	34	1,478	2.3^*	0.8
Madison	0	3,239	0.0
Manatee	758	71,417	1.1^*	0.1
Marion	289	70,465	0.4^*	0.0
Martin	142	25,580	0.6^*	0.1
Monroe	54	12,862	0.4^*	0.1
Nassau	365	17,888	2.0^*	0.2
Okaloosa	581	47,292	1.2^*	0.1
Okeechobee	170	8,515	2.0^*	0.3
Orange	2,416	308,436	0.8	0.0
Osceola	1,153	94,791	1.2^*	0.1
Palm Beach	2,097	281,121	0.7^*	0.0
Pasco	789	114,850	0.7^*	0.0
Pinellas	2,098	150,931	1.4^*	0.1
Polk	1,464	161,066	0.9^*	0.0
Putnam	319	15,663	2.0^*	0.2
St. Johns	262	59,977	0.4^*	0.1
St. Lucie	793	65,662	1.2^*	0.1
Santa Rosa	419	41,211	1.0^*	0.1
Sarasota	227	61,315	0.4^*	0.0
Seminole	799	97,621	0.8	0.1
Sumter	45	9,405	0.5^*	0.1
Suwannee	0	9,317	0.0
Taylor	64	4,188	1.5^*	0.4
Union	27	3,343	0.8	0.3
Volusia	708	97,528	0.7^*	0.1
Wakulla	23	6,949	0.3^*	0.1
Walton	103	15,576	0.7^*	0.1
Washington	129	4,991	2.6^*	0.4

5/16/2024 4:13:11 PM

Data Note(s)

FLHealthCHARTS.gov is provided by the Florida Department of Health, Division of Public Health Statistics and Performance Management.

Data Source: United States Bureau of the Census, American Community Survey, Table B18103

Chart will display if there are at least three years of data.
Multi-year counts are a sum of the selected years, not an average.
Quartiles are calculated when data is available for at least 51 counties.
MOV - Measure of Variability: Probable range of values resulting from random fluctuations in the number of events. Not calculated when numerator is below 5 or denominator is below 20, or count or rate is suppressed. The MOV is useful for comparing rates to a goal or standard. For example, if the absolute difference between the county rate and the statewide rate is less than the MOV, the county rate is not significantly different from the statewide rate (alpha level = 0.05). When the absolute difference between the county rate and the statewide rate is greater than the MOV, the county rate is significantly different from the statewide rate. MOV should not be used to determine if the rates of two different counties, or the county rates for two different years, are statistically significantly different.
Denom - abbreviated for Denominator.
Population estimates are not available for persons whose county of residence is unknown. Given this, the denominator and associated rate are not available.
* - Indicates the county rate is statistically significantly different from the statewide rate.

This is secondary, quantitative data.
Data displayed reflect the American Community Survey 5-year estimates for the year selected.

		Florida Department of Health Bureau of Community Health Assessment Division of Public Health Statistics and Performance Management


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