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13862 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,531

Median Age (see rank)

13862 Zip Code	41.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13862 Zip Code	41.80 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13862 Zip Code	40.40 years old
New York	39.60 years old
U.S.	38.80 years old

	13862 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	272	6.00%, see rank	5.97%	6.36%
5 to 9 years	337	7.44%, see rank	5.90%	6.51%
10 to 14 years	294	6.49%, see rank	6.07%	6.59%
15 to 19 years	306	6.75%, see rank	6.71%	6.85%
20 to 24 years	300	6.62%, see rank	7.33%	7.13%
25 to 34 years	464	10.24%, see rank	14.09%	13.47%
35 to 44 years	634	13.99%, see rank	13.02%	12.96%
45 to 54 years	509	11.23%, see rank	14.51%	14.09%
55 to 64 years	730	16.11%, see rank	12.35%	12.29%
65 to 74 years	398	8.78%, see rank	7.55%	7.64%
75 to 84	221	4.88%, see rank	4.42%	4.25%
85 years and over	66	1.46%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,189

Median Age (see rank)

13862 Zip Code	40.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13862 Zip Code	39.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13862 Zip Code	41.60 years old
New York	39.40 years old
U.S.	38.50 years old

	13862 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	278	6.64%, see rank	5.96%	6.54%
5 to 9 years	258	6.16%, see rank	6.01%	6.59%
10 to 14 years	268	6.40%, see rank	6.25%	6.70%
15 to 19 years	305	7.28%, see rank	7.05%	7.14%
20 to 24 years	251	5.99%, see rank	7.28%	6.99%
25 to 34 years	489	11.67%, see rank	13.72%	13.30%
35 to 44 years	522	12.46%, see rank	13.47%	13.30%
45 to 54 years	686	16.38%, see rank	14.86%	14.58%
55 to 64 years	556	13.27%, see rank	11.89%	11.82%
65 to 74 years	316	7.54%, see rank	7.02%	7.03%
75 to 84	192	4.58%, see rank	4.47%	4.23%
85 years and over	68	1.62%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,284

Median Age (see rank)

13862 Zip Code	41.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13862 Zip Code	41.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13862 Zip Code	41.50 years old
New York	39.40 years old
U.S.	38.50 years old

	13862 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	261	6.09%, see rank	5.98%	6.51%
5 to 9 years	280	6.54%, see rank	5.97%	6.57%
10 to 14 years	306	7.14%, see rank	6.25%	6.68%
15 to 19 years	311	7.26%, see rank	6.99%	7.09%
20 to 24 years	266	6.21%, see rank	7.27%	7.04%
25 to 34 years	358	8.36%, see rank	13.78%	13.32%
35 to 44 years	707	16.50%, see rank	13.50%	13.34%
45 to 54 years	572	13.35%, see rank	14.74%	14.44%
55 to 64 years	569	13.28%, see rank	11.91%	11.84%
65 to 74 years	391	9.13%, see rank	7.11%	7.12%
75 to 84	174	4.06%, see rank	4.49%	4.25%
85 years and over	89	2.08%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,936

Median Age (see rank)

13862 Zip Code	36.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13862 Zip Code	35.00 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13862 Zip Code	37.10 years old
New York	37.20 years old
U.S.	36.50 years old

	13862 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	206	5.23%, see rank	6.53%	6.81%
5 to 9 years	319	8.10%, see rank	7.12%	7.30%
10 to 14 years	422	10.72%, see rank	7.02%	7.29%
15 to 19 years	349	8.87%, see rank	6.78%	7.18%
20 to 24 years	182	4.62%, see rank	6.56%	6.74%
25 to 34 years	425	10.80%, see rank	14.53%	14.18%
35 to 44 years	702	17.84%, see rank	16.20%	16.04%
45 to 54 years	533	13.54%, see rank	13.45%	13.39%
55 to 64 years	343	8.71%, see rank	8.90%	8.63%
65 to 74 years	241	6.12%, see rank	6.72%	6.54%
75 to 84	172	4.37%, see rank	4.54%	4.39%
85 years and over	42	1.07%, 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.