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13830 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,020

Median Age (see rank)

13830 Zip Code	45.60 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13830 Zip Code	43.00 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13830 Zip Code	47.70 years old
New York	39.60 years old
U.S.	38.80 years old

	13830 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	246	4.90%, see rank	5.97%	6.36%
5 to 9 years	184	3.67%, see rank	5.90%	6.51%
10 to 14 years	283	5.64%, see rank	6.07%	6.59%
15 to 19 years	426	8.49%, see rank	6.71%	6.85%
20 to 24 years	316	6.29%, see rank	7.33%	7.13%
25 to 34 years	413	8.23%, see rank	14.09%	13.47%
35 to 44 years	603	12.01%, see rank	13.02%	12.96%
45 to 54 years	732	14.58%, see rank	14.51%	14.09%
55 to 64 years	891	17.75%, see rank	12.35%	12.29%
65 to 74 years	421	8.39%, see rank	7.55%	7.64%
75 to 84	374	7.45%, see rank	4.42%	4.25%
85 years and over	131	2.61%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,042

Median Age (see rank)

13830 Zip Code	45.80 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13830 Zip Code	45.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13830 Zip Code	45.80 years old
New York	39.40 years old
U.S.	38.50 years old

	13830 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	257	5.10%, see rank	5.96%	6.54%
5 to 9 years	283	5.61%, see rank	6.01%	6.59%
10 to 14 years	335	6.64%, see rank	6.25%	6.70%
15 to 19 years	329	6.53%, see rank	7.05%	7.14%
20 to 24 years	229	4.54%, see rank	7.28%	6.99%
25 to 34 years	457	9.06%, see rank	13.72%	13.30%
35 to 44 years	568	11.27%, see rank	13.47%	13.30%
45 to 54 years	803	15.93%, see rank	14.86%	14.58%
55 to 64 years	773	15.33%, see rank	11.89%	11.82%
65 to 74 years	474	9.40%, see rank	7.02%	7.03%
75 to 84	335	6.64%, see rank	4.47%	4.23%
85 years and over	199	3.95%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,804

Median Age (see rank)

13830 Zip Code	43.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13830 Zip Code	45.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13830 Zip Code	42.10 years old
New York	39.40 years old
U.S.	38.50 years old

	13830 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	251	5.22%, see rank	5.98%	6.51%
5 to 9 years	281	5.85%, see rank	5.97%	6.57%
10 to 14 years	361	7.51%, see rank	6.25%	6.68%
15 to 19 years	390	8.12%, see rank	6.99%	7.09%
20 to 24 years	178	3.71%, see rank	7.27%	7.04%
25 to 34 years	411	8.56%, see rank	13.78%	13.32%
35 to 44 years	581	12.09%, see rank	13.50%	13.34%
45 to 54 years	720	14.99%, see rank	14.74%	14.44%
55 to 64 years	798	16.61%, see rank	11.91%	11.84%
65 to 74 years	382	7.95%, see rank	7.11%	7.12%
75 to 84	287	5.97%, see rank	4.49%	4.25%
85 years and over	164	3.41%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,144

Median Age (see rank)

13830 Zip Code	41.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13830 Zip Code	40.70 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13830 Zip Code	41.60 years old
New York	37.20 years old
U.S.	36.50 years old

	13830 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	280	5.44%, see rank	6.53%	6.81%
5 to 9 years	331	6.43%, see rank	7.12%	7.30%
10 to 14 years	409	7.95%, see rank	7.02%	7.29%
15 to 19 years	383	7.45%, see rank	6.78%	7.18%
20 to 24 years	215	4.18%, see rank	6.56%	6.74%
25 to 34 years	481	9.35%, see rank	14.53%	14.18%
35 to 44 years	800	15.55%, see rank	16.20%	16.04%
45 to 54 years	764	14.85%, see rank	13.45%	13.39%
55 to 64 years	536	10.42%, see rank	8.90%	8.63%
65 to 74 years	424	8.24%, see rank	6.72%	6.54%
75 to 84	374	7.27%, see rank	4.54%	4.39%
85 years and over	147	2.86%, 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.