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14770 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,836

Median Age (see rank)

14770 Zip Code	43.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14770 Zip Code	42.90 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14770 Zip Code	45.20 years old
New York	39.60 years old
U.S.	38.80 years old

	14770 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	145	5.11%, see rank	5.97%	6.36%
5 to 9 years	124	4.37%, see rank	5.90%	6.51%
10 to 14 years	192	6.77%, see rank	6.07%	6.59%
15 to 19 years	243	8.57%, see rank	6.71%	6.85%
20 to 24 years	145	5.11%, see rank	7.33%	7.13%
25 to 34 years	262	9.24%, see rank	14.09%	13.47%
35 to 44 years	434	15.30%, see rank	13.02%	12.96%
45 to 54 years	391	13.79%, see rank	14.51%	14.09%
55 to 64 years	381	13.43%, see rank	12.35%	12.29%
65 to 74 years	292	10.30%, see rank	7.55%	7.64%
75 to 84	174	6.14%, see rank	4.42%	4.25%
85 years and over	53	1.87%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 2,963

Median Age (see rank)

14770 Zip Code	40.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14770 Zip Code	39.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14770 Zip Code	40.90 years old
New York	39.40 years old
U.S.	38.50 years old

	14770 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	194	6.55%, see rank	5.96%	6.54%
5 to 9 years	208	7.02%, see rank	6.01%	6.59%
10 to 14 years	210	7.09%, see rank	6.25%	6.70%
15 to 19 years	201	6.78%, see rank	7.05%	7.14%
20 to 24 years	158	5.33%, see rank	7.28%	6.99%
25 to 34 years	331	11.17%, see rank	13.72%	13.30%
35 to 44 years	357	12.05%, see rank	13.47%	13.30%
45 to 54 years	487	16.44%, see rank	14.86%	14.58%
55 to 64 years	370	12.49%, see rank	11.89%	11.82%
65 to 74 years	245	8.27%, see rank	7.02%	7.03%
75 to 84	154	5.20%, see rank	4.47%	4.23%
85 years and over	48	1.62%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,972

Median Age (see rank)

14770 Zip Code	42.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14770 Zip Code	43.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14770 Zip Code	42.40 years old
New York	39.40 years old
U.S.	38.50 years old

	14770 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	196	6.59%, see rank	5.98%	6.51%
5 to 9 years	159	5.35%, see rank	5.97%	6.57%
10 to 14 years	169	5.69%, see rank	6.25%	6.68%
15 to 19 years	198	6.66%, see rank	6.99%	7.09%
20 to 24 years	196	6.59%, see rank	7.27%	7.04%
25 to 34 years	288	9.69%, see rank	13.78%	13.32%
35 to 44 years	416	14.00%, see rank	13.50%	13.34%
45 to 54 years	470	15.81%, see rank	14.74%	14.44%
55 to 64 years	398	13.39%, see rank	11.91%	11.84%
65 to 74 years	283	9.52%, see rank	7.11%	7.12%
75 to 84	153	5.15%, see rank	4.49%	4.25%
85 years and over	46	1.55%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,269

Median Age (see rank)

14770 Zip Code	37.70 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14770 Zip Code	37.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14770 Zip Code	38.50 years old
New York	37.20 years old
U.S.	36.50 years old

	14770 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	163	4.99%, see rank	6.53%	6.81%
5 to 9 years	240	7.34%, see rank	7.12%	7.30%
10 to 14 years	326	9.97%, see rank	7.02%	7.29%
15 to 19 years	310	9.48%, see rank	6.78%	7.18%
20 to 24 years	142	4.34%, see rank	6.56%	6.74%
25 to 34 years	327	10.00%, see rank	14.53%	14.18%
35 to 44 years	550	16.82%, see rank	16.20%	16.04%
45 to 54 years	451	13.80%, see rank	13.45%	13.39%
55 to 64 years	320	9.79%, see rank	8.90%	8.63%
65 to 74 years	256	7.83%, see rank	6.72%	6.54%
75 to 84	141	4.31%, see rank	4.54%	4.39%
85 years and over	43	1.32%, 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.