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14883 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,056

Median Age (see rank)

14883 Zip Code	41.40 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14883 Zip Code	37.70 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14883 Zip Code	43.20 years old
New York	39.60 years old
U.S.	38.80 years old

	14883 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	280	6.90%, see rank	5.97%	6.36%
5 to 9 years	292	7.20%, see rank	5.90%	6.51%
10 to 14 years	183	4.51%, see rank	6.07%	6.59%
15 to 19 years	291	7.17%, see rank	6.71%	6.85%
20 to 24 years	264	6.51%, see rank	7.33%	7.13%
25 to 34 years	469	11.56%, see rank	14.09%	13.47%
35 to 44 years	486	11.98%, see rank	13.02%	12.96%
45 to 54 years	578	14.25%, see rank	14.51%	14.09%
55 to 64 years	588	14.50%, see rank	12.35%	12.29%
65 to 74 years	405	9.99%, see rank	7.55%	7.64%
75 to 84	122	3.01%, see rank	4.42%	4.25%
85 years and over	98	2.42%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,136

Median Age (see rank)

14883 Zip Code	41.80 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14883 Zip Code	41.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14883 Zip Code	42.60 years old
New York	39.40 years old
U.S.	38.50 years old

	14883 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	233	5.63%, see rank	5.96%	6.54%
5 to 9 years	281	6.79%, see rank	6.01%	6.59%
10 to 14 years	296	7.16%, see rank	6.25%	6.70%
15 to 19 years	273	6.60%, see rank	7.05%	7.14%
20 to 24 years	217	5.25%, see rank	7.28%	6.99%
25 to 34 years	407	9.84%, see rank	13.72%	13.30%
35 to 44 years	558	13.49%, see rank	13.47%	13.30%
45 to 54 years	698	16.88%, see rank	14.86%	14.58%
55 to 64 years	618	14.94%, see rank	11.89%	11.82%
65 to 74 years	324	7.83%, see rank	7.02%	7.03%
75 to 84	169	4.09%, see rank	4.47%	4.23%
85 years and over	62	1.50%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,355

Median Age (see rank)

14883 Zip Code	41.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14883 Zip Code	39.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14883 Zip Code	43.70 years old
New York	39.40 years old
U.S.	38.50 years old

	14883 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	269	6.18%, see rank	5.98%	6.51%
5 to 9 years	309	7.10%, see rank	5.97%	6.57%
10 to 14 years	274	6.29%, see rank	6.25%	6.68%
15 to 19 years	229	5.26%, see rank	6.99%	7.09%
20 to 24 years	242	5.56%, see rank	7.27%	7.04%
25 to 34 years	468	10.75%, see rank	13.78%	13.32%
35 to 44 years	636	14.60%, see rank	13.50%	13.34%
45 to 54 years	600	13.78%, see rank	14.74%	14.44%
55 to 64 years	690	15.84%, see rank	11.91%	11.84%
65 to 74 years	326	7.49%, see rank	7.11%	7.12%
75 to 84	167	3.83%, see rank	4.49%	4.25%
85 years and over	145	3.33%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,866

Median Age (see rank)

14883 Zip Code	37.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14883 Zip Code	36.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14883 Zip Code	37.70 years old
New York	37.20 years old
U.S.	36.50 years old

	14883 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	253	6.54%, see rank	6.53%	6.81%
5 to 9 years	291	7.53%, see rank	7.12%	7.30%
10 to 14 years	336	8.69%, see rank	7.02%	7.29%
15 to 19 years	292	7.55%, see rank	6.78%	7.18%
20 to 24 years	145	3.75%, see rank	6.56%	6.74%
25 to 34 years	463	11.98%, see rank	14.53%	14.18%
35 to 44 years	710	18.37%, see rank	16.20%	16.04%
45 to 54 years	612	15.83%, see rank	13.45%	13.39%
55 to 64 years	354	9.16%, see rank	8.90%	8.63%
65 to 74 years	222	5.74%, see rank	6.72%	6.54%
75 to 84	142	3.67%, see rank	4.54%	4.39%
85 years and over	46	1.19%, 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.