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13132 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,420

Median Age (see rank)

13132 Zip Code	46.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13132 Zip Code	44.40 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13132 Zip Code	47.70 years old
New York	39.60 years old
U.S.	38.80 years old

	13132 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	194	5.67%, see rank	5.97%	6.36%
5 to 9 years	143	4.18%, see rank	5.90%	6.51%
10 to 14 years	114	3.33%, see rank	6.07%	6.59%
15 to 19 years	262	7.66%, see rank	6.71%	6.85%
20 to 24 years	280	8.19%, see rank	7.33%	7.13%
25 to 34 years	192	5.61%, see rank	14.09%	13.47%
35 to 44 years	413	12.08%, see rank	13.02%	12.96%
45 to 54 years	807	23.60%, see rank	14.51%	14.09%
55 to 64 years	426	12.46%, see rank	12.35%	12.29%
65 to 74 years	395	11.55%, see rank	7.55%	7.64%
75 to 84	144	4.21%, see rank	4.42%	4.25%
85 years and over	50	1.46%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,244

Median Age (see rank)

13132 Zip Code	41.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13132 Zip Code	41.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13132 Zip Code	42.30 years old
New York	39.40 years old
U.S.	38.50 years old

	13132 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	208	4.90%, see rank	5.96%	6.54%
5 to 9 years	263	6.20%, see rank	6.01%	6.59%
10 to 14 years	286	6.74%, see rank	6.25%	6.70%
15 to 19 years	324	7.63%, see rank	7.05%	7.14%
20 to 24 years	244	5.75%, see rank	7.28%	6.99%
25 to 34 years	428	10.08%, see rank	13.72%	13.30%
35 to 44 years	571	13.45%, see rank	13.47%	13.30%
45 to 54 years	841	19.82%, see rank	14.86%	14.58%
55 to 64 years	605	14.26%, see rank	11.89%	11.82%
65 to 74 years	327	7.70%, see rank	7.02%	7.03%
75 to 84	115	2.71%, see rank	4.47%	4.23%
85 years and over	32	0.75%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,789

Median Age (see rank)

13132 Zip Code	44.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13132 Zip Code	44.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13132 Zip Code	45.20 years old
New York	39.40 years old
U.S.	38.50 years old

	13132 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	154	4.06%, see rank	5.98%	6.51%
5 to 9 years	197	5.20%, see rank	5.97%	6.57%
10 to 14 years	268	7.07%, see rank	6.25%	6.68%
15 to 19 years	315	8.31%, see rank	6.99%	7.09%
20 to 24 years	283	7.47%, see rank	7.27%	7.04%
25 to 34 years	182	4.80%, see rank	13.78%	13.32%
35 to 44 years	578	15.25%, see rank	13.50%	13.34%
45 to 54 years	960	25.34%, see rank	14.74%	14.44%
55 to 64 years	464	12.25%, see rank	11.91%	11.84%
65 to 74 years	274	7.23%, see rank	7.11%	7.12%
75 to 84	75	1.98%, see rank	4.49%	4.25%
85 years and over	39	1.03%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,310

Median Age (see rank)

13132 Zip Code	35.90 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13132 Zip Code	35.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13132 Zip Code	36.50 years old
New York	37.20 years old
U.S.	36.50 years old

	13132 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	269	6.24%, see rank	6.53%	6.81%
5 to 9 years	381	8.84%, see rank	7.12%	7.30%
10 to 14 years	387	8.98%, see rank	7.02%	7.29%
15 to 19 years	328	7.61%, see rank	6.78%	7.18%
20 to 24 years	202	4.69%, see rank	6.56%	6.74%
25 to 34 years	513	11.90%, see rank	14.53%	14.18%
35 to 44 years	868	20.14%, see rank	16.20%	16.04%
45 to 54 years	657	15.24%, see rank	13.45%	13.39%
55 to 64 years	389	9.03%, see rank	8.90%	8.63%
65 to 74 years	202	4.69%, see rank	6.72%	6.54%
75 to 84	93	2.16%, see rank	4.54%	4.39%
85 years and over	21	0.49%, 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.