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14813 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,559

Median Age (see rank)

14813 Zip Code	44.50 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14813 Zip Code	42.50 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14813 Zip Code	47.10 years old
New York	39.60 years old
U.S.	38.80 years old

	14813 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	161	6.29%, see rank	5.97%	6.36%
5 to 9 years	144	5.63%, see rank	5.90%	6.51%
10 to 14 years	162	6.33%, see rank	6.07%	6.59%
15 to 19 years	137	5.35%, see rank	6.71%	6.85%
20 to 24 years	80	3.13%, see rank	7.33%	7.13%
25 to 34 years	266	10.39%, see rank	14.09%	13.47%
35 to 44 years	344	13.44%, see rank	13.02%	12.96%
45 to 54 years	368	14.38%, see rank	14.51%	14.09%
55 to 64 years	413	16.14%, see rank	12.35%	12.29%
65 to 74 years	298	11.65%, see rank	7.55%	7.64%
75 to 84	151	5.90%, see rank	4.42%	4.25%
85 years and over	35	1.37%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,520

Median Age (see rank)

14813 Zip Code	42.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14813 Zip Code	41.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14813 Zip Code	42.60 years old
New York	39.40 years old
U.S.	38.50 years old

	14813 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	117	4.64%, see rank	5.96%	6.54%
5 to 9 years	159	6.31%, see rank	6.01%	6.59%
10 to 14 years	179	7.10%, see rank	6.25%	6.70%
15 to 19 years	169	6.71%, see rank	7.05%	7.14%
20 to 24 years	124	4.92%, see rank	7.28%	6.99%
25 to 34 years	273	10.83%, see rank	13.72%	13.30%
35 to 44 years	356	14.13%, see rank	13.47%	13.30%
45 to 54 years	397	15.75%, see rank	14.86%	14.58%
55 to 64 years	332	13.17%, see rank	11.89%	11.82%
65 to 74 years	232	9.21%, see rank	7.02%	7.03%
75 to 84	139	5.52%, see rank	4.47%	4.23%
85 years and over	43	1.71%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,577

Median Age (see rank)

14813 Zip Code	43.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14813 Zip Code	41.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14813 Zip Code	46.10 years old
New York	39.40 years old
U.S.	38.50 years old

	14813 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	152	5.90%, see rank	5.98%	6.51%
5 to 9 years	132	5.12%, see rank	5.97%	6.57%
10 to 14 years	182	7.06%, see rank	6.25%	6.68%
15 to 19 years	158	6.13%, see rank	6.99%	7.09%
20 to 24 years	90	3.49%, see rank	7.27%	7.04%
25 to 34 years	297	11.53%, see rank	13.78%	13.32%
35 to 44 years	323	12.53%, see rank	13.50%	13.34%
45 to 54 years	387	15.02%, see rank	14.74%	14.44%
55 to 64 years	399	15.48%, see rank	11.91%	11.84%
65 to 74 years	255	9.90%, see rank	7.11%	7.12%
75 to 84	184	7.14%, see rank	4.49%	4.25%
85 years and over	18	0.70%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,538

Median Age (see rank)

14813 Zip Code	38.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14813 Zip Code	36.70 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14813 Zip Code	40.60 years old
New York	37.20 years old
U.S.	36.50 years old

	14813 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	161	6.34%, see rank	6.53%	6.81%
5 to 9 years	189	7.45%, see rank	7.12%	7.30%
10 to 14 years	185	7.29%, see rank	7.02%	7.29%
15 to 19 years	177	6.97%, see rank	6.78%	7.18%
20 to 24 years	124	4.89%, see rank	6.56%	6.74%
25 to 34 years	305	12.02%, see rank	14.53%	14.18%
35 to 44 years	396	15.60%, see rank	16.20%	16.04%
45 to 54 years	348	13.71%, see rank	13.45%	13.39%
55 to 64 years	251	9.89%, see rank	8.90%	8.63%
65 to 74 years	216	8.51%, see rank	6.72%	6.54%
75 to 84	136	5.36%, see rank	4.54%	4.39%
85 years and over	50	1.97%, 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.