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13452 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,645

Median Age (see rank)

13452 Zip Code	38.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13452 Zip Code	38.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13452 Zip Code	39.60 years old
New York	39.60 years old
U.S.	38.80 years old

	13452 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	405	8.72%, see rank	5.97%	6.36%
5 to 9 years	373	8.03%, see rank	5.90%	6.51%
10 to 14 years	326	7.02%, see rank	6.07%	6.59%
15 to 19 years	268	5.77%, see rank	6.71%	6.85%
20 to 24 years	210	4.52%, see rank	7.33%	7.13%
25 to 34 years	533	11.47%, see rank	14.09%	13.47%
35 to 44 years	577	12.42%, see rank	13.02%	12.96%
45 to 54 years	652	14.04%, see rank	14.51%	14.09%
55 to 64 years	597	12.85%, see rank	12.35%	12.29%
65 to 74 years	367	7.90%, see rank	7.55%	7.64%
75 to 84	233	5.02%, see rank	4.42%	4.25%
85 years and over	104	2.24%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,629

Median Age (see rank)

13452 Zip Code	42.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13452 Zip Code	41.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13452 Zip Code	44.20 years old
New York	39.40 years old
U.S.	38.50 years old

	13452 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	267	5.77%, see rank	5.96%	6.54%
5 to 9 years	276	5.96%, see rank	6.01%	6.59%
10 to 14 years	303	6.55%, see rank	6.25%	6.70%
15 to 19 years	298	6.44%, see rank	7.05%	7.14%
20 to 24 years	250	5.40%, see rank	7.28%	6.99%
25 to 34 years	509	11.00%, see rank	13.72%	13.30%
35 to 44 years	532	11.49%, see rank	13.47%	13.30%
45 to 54 years	742	16.03%, see rank	14.86%	14.58%
55 to 64 years	631	13.63%, see rank	11.89%	11.82%
65 to 74 years	381	8.23%, see rank	7.02%	7.03%
75 to 84	262	5.66%, see rank	4.47%	4.23%
85 years and over	178	3.85%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,809

Median Age (see rank)

13452 Zip Code	40.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13452 Zip Code	38.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13452 Zip Code	41.40 years old
New York	39.40 years old
U.S.	38.50 years old

	13452 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	376	7.82%, see rank	5.98%	6.51%
5 to 9 years	404	8.40%, see rank	5.97%	6.57%
10 to 14 years	284	5.91%, see rank	6.25%	6.68%
15 to 19 years	311	6.47%, see rank	6.99%	7.09%
20 to 24 years	259	5.39%, see rank	7.27%	7.04%
25 to 34 years	507	10.54%, see rank	13.78%	13.32%
35 to 44 years	524	10.90%, see rank	13.50%	13.34%
45 to 54 years	671	13.95%, see rank	14.74%	14.44%
55 to 64 years	692	14.39%, see rank	11.91%	11.84%
65 to 74 years	401	8.34%, see rank	7.11%	7.12%
75 to 84	233	4.85%, see rank	4.49%	4.25%
85 years and over	147	3.06%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,408

Median Age (see rank)

13452 Zip Code	38.70 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13452 Zip Code	37.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13452 Zip Code	40.20 years old
New York	37.20 years old
U.S.	36.50 years old

	13452 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	247	5.60%, see rank	6.53%	6.81%
5 to 9 years	305	6.92%, see rank	7.12%	7.30%
10 to 14 years	348	7.89%, see rank	7.02%	7.29%
15 to 19 years	353	8.01%, see rank	6.78%	7.18%
20 to 24 years	217	4.92%, see rank	6.56%	6.74%
25 to 34 years	474	10.75%, see rank	14.53%	14.18%
35 to 44 years	713	16.18%, see rank	16.20%	16.04%
45 to 54 years	587	13.32%, see rank	13.45%	13.39%
55 to 64 years	386	8.76%, see rank	8.90%	8.63%
65 to 74 years	362	8.21%, see rank	6.72%	6.54%
75 to 84	298	6.76%, see rank	4.54%	4.39%
85 years and over	118	2.68%, 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.