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14747 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,261

Median Age (see rank)

14747 Zip Code	45.20 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14747 Zip Code	42.50 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14747 Zip Code	48.00 years old
New York	39.60 years old
U.S.	38.80 years old

	14747 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	105	4.64%, see rank	5.97%	6.36%
5 to 9 years	103	4.56%, see rank	5.90%	6.51%
10 to 14 years	144	6.37%, see rank	6.07%	6.59%
15 to 19 years	143	6.32%, see rank	6.71%	6.85%
20 to 24 years	119	5.26%, see rank	7.33%	7.13%
25 to 34 years	228	10.08%, see rank	14.09%	13.47%
35 to 44 years	285	12.61%, see rank	13.02%	12.96%
45 to 54 years	433	19.15%, see rank	14.51%	14.09%
55 to 64 years	387	17.12%, see rank	12.35%	12.29%
65 to 74 years	201	8.89%, see rank	7.55%	7.64%
75 to 84	91	4.02%, see rank	4.42%	4.25%
85 years and over	22	0.97%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,289

Median Age (see rank)

14747 Zip Code	43.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14747 Zip Code	44.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14747 Zip Code	42.60 years old
New York	39.40 years old
U.S.	38.50 years old

	14747 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	126	5.50%, see rank	5.96%	6.54%
5 to 9 years	135	5.90%, see rank	6.01%	6.59%
10 to 14 years	151	6.60%, see rank	6.25%	6.70%
15 to 19 years	175	7.65%, see rank	7.05%	7.14%
20 to 24 years	111	4.85%, see rank	7.28%	6.99%
25 to 34 years	194	8.48%, see rank	13.72%	13.30%
35 to 44 years	305	13.32%, see rank	13.47%	13.30%
45 to 54 years	429	18.74%, see rank	14.86%	14.58%
55 to 64 years	337	14.72%, see rank	11.89%	11.82%
65 to 74 years	200	8.74%, see rank	7.02%	7.03%
75 to 84	91	3.98%, see rank	4.47%	4.23%
85 years and over	35	1.53%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,203

Median Age (see rank)

14747 Zip Code	43.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14747 Zip Code	42.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14747 Zip Code	43.50 years old
New York	39.40 years old
U.S.	38.50 years old

	14747 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	60	2.72%, see rank	5.98%	6.51%
5 to 9 years	148	6.72%, see rank	5.97%	6.57%
10 to 14 years	200	9.08%, see rank	6.25%	6.68%
15 to 19 years	149	6.76%, see rank	6.99%	7.09%
20 to 24 years	86	3.90%, see rank	7.27%	7.04%
25 to 34 years	221	10.03%, see rank	13.78%	13.32%
35 to 44 years	306	13.89%, see rank	13.50%	13.34%
45 to 54 years	431	19.56%, see rank	14.74%	14.44%
55 to 64 years	360	16.34%, see rank	11.91%	11.84%
65 to 74 years	153	6.95%, see rank	7.11%	7.12%
75 to 84	60	2.72%, see rank	4.49%	4.25%
85 years and over	29	1.32%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 2,436

Median Age (see rank)

14747 Zip Code	38.60 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14747 Zip Code	38.70 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14747 Zip Code	38.60 years old
New York	37.20 years old
U.S.	36.50 years old

	14747 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	115	4.72%, see rank	6.53%	6.81%
5 to 9 years	214	8.78%, see rank	7.12%	7.30%
10 to 14 years	205	8.42%, see rank	7.02%	7.29%
15 to 19 years	185	7.59%, see rank	6.78%	7.18%
20 to 24 years	96	3.94%, see rank	6.56%	6.74%
25 to 34 years	254	10.43%, see rank	14.53%	14.18%
35 to 44 years	467	19.17%, see rank	16.20%	16.04%
45 to 54 years	358	14.70%, see rank	13.45%	13.39%
55 to 64 years	245	10.06%, see rank	8.90%	8.63%
65 to 74 years	170	6.98%, see rank	6.72%	6.54%
75 to 84	114	4.68%, see rank	4.54%	4.39%
85 years and over	13	0.53%, 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.