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13082 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,735

Median Age (see rank)

13082 Zip Code	45.20 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13082 Zip Code	43.80 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13082 Zip Code	45.70 years old
New York	39.60 years old
U.S.	38.80 years old

	13082 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	229	4.84%, see rank	5.97%	6.36%
5 to 9 years	270	5.70%, see rank	5.90%	6.51%
10 to 14 years	368	7.77%, see rank	6.07%	6.59%
15 to 19 years	132	2.79%, see rank	6.71%	6.85%
20 to 24 years	230	4.86%, see rank	7.33%	7.13%
25 to 34 years	645	13.62%, see rank	14.09%	13.47%
35 to 44 years	477	10.07%, see rank	13.02%	12.96%
45 to 54 years	680	14.36%, see rank	14.51%	14.09%
55 to 64 years	755	15.95%, see rank	12.35%	12.29%
65 to 74 years	556	11.74%, see rank	7.55%	7.64%
75 to 84	355	7.50%, see rank	4.42%	4.25%
85 years and over	38	0.80%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,871

Median Age (see rank)

13082 Zip Code	45.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13082 Zip Code	44.20 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13082 Zip Code	46.60 years old
New York	39.40 years old
U.S.	38.50 years old

	13082 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	196	4.02%, see rank	5.96%	6.54%
5 to 9 years	258	5.30%, see rank	6.01%	6.59%
10 to 14 years	323	6.63%, see rank	6.25%	6.70%
15 to 19 years	342	7.02%, see rank	7.05%	7.14%
20 to 24 years	251	5.15%, see rank	7.28%	6.99%
25 to 34 years	417	8.56%, see rank	13.72%	13.30%
35 to 44 years	618	12.69%, see rank	13.47%	13.30%
45 to 54 years	895	18.37%, see rank	14.86%	14.58%
55 to 64 years	705	14.47%, see rank	11.89%	11.82%
65 to 74 years	460	9.44%, see rank	7.02%	7.03%
75 to 84	313	6.43%, see rank	4.47%	4.23%
85 years and over	93	1.91%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,224

Median Age (see rank)

13082 Zip Code	46.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13082 Zip Code	45.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13082 Zip Code	46.80 years old
New York	39.40 years old
U.S.	38.50 years old

	13082 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	109	2.58%, see rank	5.98%	6.51%
5 to 9 years	255	6.04%, see rank	5.97%	6.57%
10 to 14 years	225	5.33%, see rank	6.25%	6.68%
15 to 19 years	180	4.26%, see rank	6.99%	7.09%
20 to 24 years	216	5.11%, see rank	7.27%	7.04%
25 to 34 years	546	12.93%, see rank	13.78%	13.32%
35 to 44 years	448	10.61%, see rank	13.50%	13.34%
45 to 54 years	947	22.42%, see rank	14.74%	14.44%
55 to 64 years	541	12.81%, see rank	11.91%	11.84%
65 to 74 years	391	9.26%, see rank	7.11%	7.12%
75 to 84	286	6.77%, see rank	4.49%	4.25%
85 years and over	80	1.89%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,012

Median Age (see rank)

13082 Zip Code	39.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13082 Zip Code	38.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13082 Zip Code	40.10 years old
New York	37.20 years old
U.S.	36.50 years old

	13082 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	274	5.47%, see rank	6.53%	6.81%
5 to 9 years	325	6.48%, see rank	7.12%	7.30%
10 to 14 years	400	7.98%, see rank	7.02%	7.29%
15 to 19 years	365	7.28%, see rank	6.78%	7.18%
20 to 24 years	193	3.85%, see rank	6.56%	6.74%
25 to 34 years	591	11.79%, see rank	14.53%	14.18%
35 to 44 years	912	18.20%, see rank	16.20%	16.04%
45 to 54 years	742	14.80%, see rank	13.45%	13.39%
55 to 64 years	574	11.45%, see rank	8.90%	8.63%
65 to 74 years	395	7.88%, see rank	6.72%	6.54%
75 to 84	197	3.93%, see rank	4.54%	4.39%
85 years and over	44	0.88%, 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.