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13849 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,893

Median Age (see rank)

13849 Zip Code	46.40 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13849 Zip Code	43.70 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13849 Zip Code	49.10 years old
New York	39.60 years old
U.S.	38.80 years old

	13849 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	219	5.63%, see rank	5.97%	6.36%
5 to 9 years	220	5.65%, see rank	5.90%	6.51%
10 to 14 years	245	6.29%, see rank	6.07%	6.59%
15 to 19 years	166	4.26%, see rank	6.71%	6.85%
20 to 24 years	235	6.04%, see rank	7.33%	7.13%
25 to 34 years	452	11.61%, see rank	14.09%	13.47%
35 to 44 years	305	7.83%, see rank	13.02%	12.96%
45 to 54 years	638	16.39%, see rank	14.51%	14.09%
55 to 64 years	610	15.67%, see rank	12.35%	12.29%
65 to 74 years	460	11.82%, see rank	7.55%	7.64%
75 to 84	176	4.52%, see rank	4.42%	4.25%
85 years and over	167	4.29%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,551

Median Age (see rank)

13849 Zip Code	45.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13849 Zip Code	45.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13849 Zip Code	46.40 years old
New York	39.40 years old
U.S.	38.50 years old

	13849 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	236	5.19%, see rank	5.96%	6.54%
5 to 9 years	264	5.80%, see rank	6.01%	6.59%
10 to 14 years	253	5.56%, see rank	6.25%	6.70%
15 to 19 years	299	6.57%, see rank	7.05%	7.14%
20 to 24 years	227	4.99%, see rank	7.28%	6.99%
25 to 34 years	404	8.88%, see rank	13.72%	13.30%
35 to 44 years	542	11.91%, see rank	13.47%	13.30%
45 to 54 years	792	17.40%, see rank	14.86%	14.58%
55 to 64 years	698	15.34%, see rank	11.89%	11.82%
65 to 74 years	457	10.04%, see rank	7.02%	7.03%
75 to 84	248	5.45%, see rank	4.47%	4.23%
85 years and over	131	2.88%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,277

Median Age (see rank)

13849 Zip Code	40.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13849 Zip Code	39.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13849 Zip Code	41.50 years old
New York	39.40 years old
U.S.	38.50 years old

	13849 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	411	9.61%, see rank	5.98%	6.51%
5 to 9 years	278	6.50%, see rank	5.97%	6.57%
10 to 14 years	250	5.85%, see rank	6.25%	6.68%
15 to 19 years	237	5.54%, see rank	6.99%	7.09%
20 to 24 years	251	5.87%, see rank	7.27%	7.04%
25 to 34 years	440	10.29%, see rank	13.78%	13.32%
35 to 44 years	534	12.49%, see rank	13.50%	13.34%
45 to 54 years	698	16.32%, see rank	14.74%	14.44%
55 to 64 years	453	10.59%, see rank	11.91%	11.84%
65 to 74 years	490	11.46%, see rank	7.11%	7.12%
75 to 84	138	3.23%, see rank	4.49%	4.25%
85 years and over	97	2.27%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,151

Median Age (see rank)

13849 Zip Code	39.50 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13849 Zip Code	38.80 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13849 Zip Code	40.10 years old
New York	37.20 years old
U.S.	36.50 years old

	13849 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	292	5.67%, see rank	6.53%	6.81%
5 to 9 years	392	7.61%, see rank	7.12%	7.30%
10 to 14 years	419	8.13%, see rank	7.02%	7.29%
15 to 19 years	350	6.79%, see rank	6.78%	7.18%
20 to 24 years	226	4.39%, see rank	6.56%	6.74%
25 to 34 years	581	11.28%, see rank	14.53%	14.18%
35 to 44 years	793	15.40%, see rank	16.20%	16.04%
45 to 54 years	742	14.40%, see rank	13.45%	13.39%
55 to 64 years	554	10.76%, see rank	8.90%	8.63%
65 to 74 years	438	8.50%, see rank	6.72%	6.54%
75 to 84	295	5.73%, see rank	4.54%	4.39%
85 years and over	69	1.34%, 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.