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14840 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,110

Median Age (see rank)

14840 Zip Code	51.50 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14840 Zip Code	51.00 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14840 Zip Code	52.40 years old
New York	39.60 years old
U.S.	38.80 years old

	14840 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	103	3.31%, see rank	5.97%	6.36%
5 to 9 years	162	5.21%, see rank	5.90%	6.51%
10 to 14 years	181	5.82%, see rank	6.07%	6.59%
15 to 19 years	131	4.21%, see rank	6.71%	6.85%
20 to 24 years	131	4.21%, see rank	7.33%	7.13%
25 to 34 years	266	8.55%, see rank	14.09%	13.47%
35 to 44 years	239	7.68%, see rank	13.02%	12.96%
45 to 54 years	576	18.52%, see rank	14.51%	14.09%
55 to 64 years	610	19.61%, see rank	12.35%	12.29%
65 to 74 years	435	13.99%, see rank	7.55%	7.64%
75 to 84	200	6.43%, see rank	4.42%	4.25%
85 years and over	76	2.44%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,061

Median Age (see rank)

14840 Zip Code	51.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14840 Zip Code	50.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14840 Zip Code	51.70 years old
New York	39.40 years old
U.S.	38.50 years old

	14840 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	134	4.38%, see rank	5.96%	6.54%
5 to 9 years	126	4.12%, see rank	6.01%	6.59%
10 to 14 years	152	4.97%, see rank	6.25%	6.70%
15 to 19 years	150	4.90%, see rank	7.05%	7.14%
20 to 24 years	114	3.72%, see rank	7.28%	6.99%
25 to 34 years	245	8.00%, see rank	13.72%	13.30%
35 to 44 years	314	10.26%, see rank	13.47%	13.30%
45 to 54 years	535	17.48%, see rank	14.86%	14.58%
55 to 64 years	593	19.37%, see rank	11.89%	11.82%
65 to 74 years	431	14.08%, see rank	7.02%	7.03%
75 to 84	202	6.60%, see rank	4.47%	4.23%
85 years and over	65	2.12%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,135

Median Age (see rank)

14840 Zip Code	49.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14840 Zip Code	49.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14840 Zip Code	49.80 years old
New York	39.40 years old
U.S.	38.50 years old

	14840 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	93	2.97%, see rank	5.98%	6.51%
5 to 9 years	155	4.94%, see rank	5.97%	6.57%
10 to 14 years	188	6.00%, see rank	6.25%	6.68%
15 to 19 years	178	5.68%, see rank	6.99%	7.09%
20 to 24 years	131	4.18%, see rank	7.27%	7.04%
25 to 34 years	260	8.29%, see rank	13.78%	13.32%
35 to 44 years	320	10.21%, see rank	13.50%	13.34%
45 to 54 years	536	17.10%, see rank	14.74%	14.44%
55 to 64 years	648	20.67%, see rank	11.91%	11.84%
65 to 74 years	375	11.96%, see rank	7.11%	7.12%
75 to 84	198	6.32%, see rank	4.49%	4.25%
85 years and over	53	1.69%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,406

Median Age (see rank)

14840 Zip Code	45.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14840 Zip Code	44.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14840 Zip Code	45.60 years old
New York	37.20 years old
U.S.	36.50 years old

	14840 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	145	4.26%, see rank	6.53%	6.81%
5 to 9 years	197	5.78%, see rank	7.12%	7.30%
10 to 14 years	234	6.87%, see rank	7.02%	7.29%
15 to 19 years	209	6.14%, see rank	6.78%	7.18%
20 to 24 years	119	3.49%, see rank	6.56%	6.74%
25 to 34 years	292	8.57%, see rank	14.53%	14.18%
35 to 44 years	496	14.56%, see rank	16.20%	16.04%
45 to 54 years	559	16.41%, see rank	13.45%	13.39%
55 to 64 years	504	14.80%, see rank	8.90%	8.63%
65 to 74 years	402	11.80%, see rank	6.72%	6.54%
75 to 84	201	5.90%, see rank	4.54%	4.39%
85 years and over	48	1.41%, see rank	1.64%	1.51%

* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.