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14065 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 1,825

Median Age (see rank)

14065 Zip Code	42.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14065 Zip Code	45.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14065 Zip Code	41.80 years old
New York	39.60 years old
U.S.	38.80 years old

	14065 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	157	8.60%, see rank	5.97%	6.36%
5 to 9 years	94	5.15%, see rank	5.90%	6.51%
10 to 14 years	120	6.58%, see rank	6.07%	6.59%
15 to 19 years	54	2.96%, see rank	6.71%	6.85%
20 to 24 years	87	4.77%, see rank	7.33%	7.13%
25 to 34 years	218	11.95%, see rank	14.09%	13.47%
35 to 44 years	208	11.40%, see rank	13.02%	12.96%
45 to 54 years	308	16.88%, see rank	14.51%	14.09%
55 to 64 years	306	16.77%, see rank	12.35%	12.29%
65 to 74 years	184	10.08%, see rank	7.55%	7.64%
75 to 84	74	4.05%, see rank	4.42%	4.25%
85 years and over	15	0.82%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 1,896

Median Age (see rank)

14065 Zip Code	40.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14065 Zip Code	41.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14065 Zip Code	38.80 years old
New York	39.40 years old
U.S.	38.50 years old

	14065 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	135	7.12%, see rank	5.96%	6.54%
5 to 9 years	132	6.96%, see rank	6.01%	6.59%
10 to 14 years	153	8.07%, see rank	6.25%	6.70%
15 to 19 years	127	6.70%, see rank	7.05%	7.14%
20 to 24 years	92	4.85%, see rank	7.28%	6.99%
25 to 34 years	190	10.02%, see rank	13.72%	13.30%
35 to 44 years	248	13.08%, see rank	13.47%	13.30%
45 to 54 years	329	17.35%, see rank	14.86%	14.58%
55 to 64 years	261	13.77%, see rank	11.89%	11.82%
65 to 74 years	153	8.07%, see rank	7.02%	7.03%
75 to 84	59	3.11%, see rank	4.47%	4.23%
85 years and over	17	0.90%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 1,823

Median Age (see rank)

14065 Zip Code	40.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14065 Zip Code	43.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14065 Zip Code	38.70 years old
New York	39.40 years old
U.S.	38.50 years old

	14065 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	103	5.65%, see rank	5.98%	6.51%
5 to 9 years	144	7.90%, see rank	5.97%	6.57%
10 to 14 years	141	7.73%, see rank	6.25%	6.68%
15 to 19 years	81	4.44%, see rank	6.99%	7.09%
20 to 24 years	108	5.92%, see rank	7.27%	7.04%
25 to 34 years	176	9.65%, see rank	13.78%	13.32%
35 to 44 years	243	13.33%, see rank	13.50%	13.34%
45 to 54 years	317	17.39%, see rank	14.74%	14.44%
55 to 64 years	290	15.91%, see rank	11.91%	11.84%
65 to 74 years	126	6.91%, see rank	7.11%	7.12%
75 to 84	53	2.91%, see rank	4.49%	4.25%
85 years and over	41	2.25%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,003

Median Age (see rank)

14065 Zip Code	34.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14065 Zip Code	33.70 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14065 Zip Code	34.50 years old
New York	37.20 years old
U.S.	36.50 years old

	14065 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	147	7.34%, see rank	6.53%	6.81%
5 to 9 years	155	7.74%, see rank	7.12%	7.30%
10 to 14 years	198	9.89%, see rank	7.02%	7.29%
15 to 19 years	167	8.34%, see rank	6.78%	7.18%
20 to 24 years	106	5.29%, see rank	6.56%	6.74%
25 to 34 years	256	12.78%, see rank	14.53%	14.18%
35 to 44 years	337	16.82%, see rank	16.20%	16.04%
45 to 54 years	266	13.28%, see rank	13.45%	13.39%
55 to 64 years	193	9.64%, see rank	8.90%	8.63%
65 to 74 years	112	5.59%, see rank	6.72%	6.54%
75 to 84	50	2.50%, see rank	4.54%	4.39%
85 years and over	16	0.80%, 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.