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14817 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,151

Median Age (see rank)

14817 Zip Code	49.40 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14817 Zip Code	47.90 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14817 Zip Code	50.30 years old
New York	39.60 years old
U.S.	38.80 years old

	14817 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	67	3.11%, see rank	5.97%	6.36%
5 to 9 years	40	1.86%, see rank	5.90%	6.51%
10 to 14 years	84	3.91%, see rank	6.07%	6.59%
15 to 19 years	110	5.11%, see rank	6.71%	6.85%
20 to 24 years	192	8.93%, see rank	7.33%	7.13%
25 to 34 years	148	6.88%, see rank	14.09%	13.47%
35 to 44 years	281	13.06%, see rank	13.02%	12.96%
45 to 54 years	503	23.38%, see rank	14.51%	14.09%
55 to 64 years	412	19.15%, see rank	12.35%	12.29%
65 to 74 years	260	12.09%, see rank	7.55%	7.64%
75 to 84	26	1.21%, see rank	4.42%	4.25%
85 years and over	28	1.30%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,380

Median Age (see rank)

14817 Zip Code	39.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14817 Zip Code	38.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14817 Zip Code	40.20 years old
New York	39.40 years old
U.S.	38.50 years old

	14817 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	140	5.88%, see rank	5.96%	6.54%
5 to 9 years	133	5.59%, see rank	6.01%	6.59%
10 to 14 years	121	5.08%, see rank	6.25%	6.70%
15 to 19 years	173	7.27%, see rank	7.05%	7.14%
20 to 24 years	118	4.96%, see rank	7.28%	6.99%
25 to 34 years	366	15.38%, see rank	13.72%	13.30%
35 to 44 years	327	13.74%, see rank	13.47%	13.30%
45 to 54 years	357	15.00%, see rank	14.86%	14.58%
55 to 64 years	379	15.92%, see rank	11.89%	11.82%
65 to 74 years	145	6.09%, see rank	7.02%	7.03%
75 to 84	82	3.45%, see rank	4.47%	4.23%
85 years and over	39	1.64%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,273

Median Age (see rank)

14817 Zip Code	45.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14817 Zip Code	39.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14817 Zip Code	48.30 years old
New York	39.40 years old
U.S.	38.50 years old

	14817 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	125	5.50%, see rank	5.98%	6.51%
5 to 9 years	33	1.45%, see rank	5.97%	6.57%
10 to 14 years	121	5.32%, see rank	6.25%	6.68%
15 to 19 years	103	4.53%, see rank	6.99%	7.09%
20 to 24 years	212	9.33%, see rank	7.27%	7.04%
25 to 34 years	219	9.63%, see rank	13.78%	13.32%
35 to 44 years	314	13.81%, see rank	13.50%	13.34%
45 to 54 years	521	22.92%, see rank	14.74%	14.44%
55 to 64 years	395	17.38%, see rank	11.91%	11.84%
65 to 74 years	146	6.42%, see rank	7.11%	7.12%
75 to 84	84	3.70%, see rank	4.49%	4.25%
85 years and over	0	0.00%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,282

Median Age (see rank)

14817 Zip Code	36.90 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14817 Zip Code	35.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14817 Zip Code	38.30 years old
New York	37.20 years old
U.S.	36.50 years old

	14817 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	128	5.61%, see rank	6.53%	6.81%
5 to 9 years	175	7.67%, see rank	7.12%	7.30%
10 to 14 years	188	8.24%, see rank	7.02%	7.29%
15 to 19 years	213	9.33%, see rank	6.78%	7.18%
20 to 24 years	102	4.47%, see rank	6.56%	6.74%
25 to 34 years	261	11.44%, see rank	14.53%	14.18%
35 to 44 years	384	16.83%, see rank	16.20%	16.04%
45 to 54 years	411	18.01%, see rank	13.45%	13.39%
55 to 64 years	204	8.94%, see rank	8.90%	8.63%
65 to 74 years	128	5.61%, see rank	6.72%	6.54%
75 to 84	65	2.85%, see rank	4.54%	4.39%
85 years and over	23	1.01%, 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.