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13030 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,792

Median Age (see rank)

13030 Zip Code	44.00 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13030 Zip Code	45.90 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13030 Zip Code	42.20 years old
New York	39.60 years old
U.S.	38.80 years old

	13030 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	200	5.27%, see rank	5.97%	6.36%
5 to 9 years	403	10.63%, see rank	5.90%	6.51%
10 to 14 years	194	5.12%, see rank	6.07%	6.59%
15 to 19 years	198	5.22%, see rank	6.71%	6.85%
20 to 24 years	140	3.69%, see rank	7.33%	7.13%
25 to 34 years	416	10.97%, see rank	14.09%	13.47%
35 to 44 years	397	10.47%, see rank	13.02%	12.96%
45 to 54 years	806	21.26%, see rank	14.51%	14.09%
55 to 64 years	641	16.90%, see rank	12.35%	12.29%
65 to 74 years	269	7.09%, see rank	7.55%	7.64%
75 to 84	120	3.16%, see rank	4.42%	4.25%
85 years and over	8	0.21%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,892

Median Age (see rank)

13030 Zip Code	44.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13030 Zip Code	44.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13030 Zip Code	44.20 years old
New York	39.40 years old
U.S.	38.50 years old

	13030 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	189	4.86%, see rank	5.96%	6.54%
5 to 9 years	212	5.45%, see rank	6.01%	6.59%
10 to 14 years	221	5.68%, see rank	6.25%	6.70%
15 to 19 years	258	6.63%, see rank	7.05%	7.14%
20 to 24 years	198	5.09%, see rank	7.28%	6.99%
25 to 34 years	406	10.43%, see rank	13.72%	13.30%
35 to 44 years	502	12.90%, see rank	13.47%	13.30%
45 to 54 years	751	19.30%, see rank	14.86%	14.58%
55 to 64 years	549	14.11%, see rank	11.89%	11.82%
65 to 74 years	397	10.20%, see rank	7.02%	7.03%
75 to 84	182	4.68%, see rank	4.47%	4.23%
85 years and over	27	0.69%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,863

Median Age (see rank)

13030 Zip Code	44.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13030 Zip Code	44.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13030 Zip Code	44.80 years old
New York	39.40 years old
U.S.	38.50 years old

	13030 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	131	3.39%, see rank	5.98%	6.51%
5 to 9 years	343	8.88%, see rank	5.97%	6.57%
10 to 14 years	159	4.12%, see rank	6.25%	6.68%
15 to 19 years	207	5.36%, see rank	6.99%	7.09%
20 to 24 years	221	5.72%, see rank	7.27%	7.04%
25 to 34 years	430	11.13%, see rank	13.78%	13.32%
35 to 44 years	458	11.86%, see rank	13.50%	13.34%
45 to 54 years	830	21.49%, see rank	14.74%	14.44%
55 to 64 years	627	16.23%, see rank	11.91%	11.84%
65 to 74 years	272	7.04%, see rank	7.11%	7.12%
75 to 84	185	4.79%, see rank	4.49%	4.25%
85 years and over	0	0.00%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,272

Median Age (see rank)

13030 Zip Code	38.10 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13030 Zip Code	37.60 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13030 Zip Code	38.50 years old
New York	37.20 years old
U.S.	36.50 years old

	13030 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	237	5.55%, see rank	6.53%	6.81%
5 to 9 years	312	7.30%, see rank	7.12%	7.30%
10 to 14 years	330	7.72%, see rank	7.02%	7.29%
15 to 19 years	320	7.49%, see rank	6.78%	7.18%
20 to 24 years	196	4.59%, see rank	6.56%	6.74%
25 to 34 years	507	11.87%, see rank	14.53%	14.18%
35 to 44 years	816	19.10%, see rank	16.20%	16.04%
45 to 54 years	614	14.37%, see rank	13.45%	13.39%
55 to 64 years	477	11.17%, see rank	8.90%	8.63%
65 to 74 years	326	7.63%, see rank	6.72%	6.54%
75 to 84	120	2.81%, see rank	4.54%	4.39%
85 years and over	17	0.40%, 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.