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13667 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,017

Median Age (see rank)

13667 Zip Code	39.10 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

13667 Zip Code	34.50 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

13667 Zip Code	41.30 years old
New York	39.60 years old
U.S.	38.80 years old

	13667 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	181	6.00%, see rank	5.97%	6.36%
5 to 9 years	168	5.57%, see rank	5.90%	6.51%
10 to 14 years	183	6.07%, see rank	6.07%	6.59%
15 to 19 years	200	6.63%, see rank	6.71%	6.85%
20 to 24 years	289	9.58%, see rank	7.33%	7.13%
25 to 34 years	398	13.19%, see rank	14.09%	13.47%
35 to 44 years	359	11.90%, see rank	13.02%	12.96%
45 to 54 years	560	18.56%, see rank	14.51%	14.09%
55 to 64 years	343	11.37%, see rank	12.35%	12.29%
65 to 74 years	189	6.26%, see rank	7.55%	7.64%
75 to 84	107	3.55%, see rank	4.42%	4.25%
85 years and over	40	1.33%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,181

Median Age (see rank)

13667 Zip Code	40.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13667 Zip Code	39.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13667 Zip Code	42.30 years old
New York	39.40 years old
U.S.	38.50 years old

	13667 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	194	6.10%, see rank	5.96%	6.54%
5 to 9 years	219	6.88%, see rank	6.01%	6.59%
10 to 14 years	176	5.53%, see rank	6.25%	6.70%
15 to 19 years	198	6.22%, see rank	7.05%	7.14%
20 to 24 years	196	6.16%, see rank	7.28%	6.99%
25 to 34 years	394	12.39%, see rank	13.72%	13.30%
35 to 44 years	381	11.98%, see rank	13.47%	13.30%
45 to 54 years	532	16.72%, see rank	14.86%	14.58%
55 to 64 years	411	12.92%, see rank	11.89%	11.82%
65 to 74 years	287	9.02%, see rank	7.02%	7.03%
75 to 84	144	4.53%, see rank	4.47%	4.23%
85 years and over	49	1.54%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,950

Median Age (see rank)

13667 Zip Code	42.40 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

13667 Zip Code	38.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

13667 Zip Code	43.60 years old
New York	39.40 years old
U.S.	38.50 years old

	13667 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	221	7.49%, see rank	5.98%	6.51%
5 to 9 years	201	6.81%, see rank	5.97%	6.57%
10 to 14 years	135	4.58%, see rank	6.25%	6.68%
15 to 19 years	143	4.85%, see rank	6.99%	7.09%
20 to 24 years	270	9.15%, see rank	7.27%	7.04%
25 to 34 years	291	9.86%, see rank	13.78%	13.32%
35 to 44 years	313	10.61%, see rank	13.50%	13.34%
45 to 54 years	666	22.58%, see rank	14.74%	14.44%
55 to 64 years	409	13.86%, see rank	11.91%	11.84%
65 to 74 years	151	5.12%, see rank	7.11%	7.12%
75 to 84	101	3.42%, see rank	4.49%	4.25%
85 years and over	49	1.66%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,524

Median Age (see rank)

13667 Zip Code	38.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

13667 Zip Code	36.90 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

13667 Zip Code	38.80 years old
New York	37.20 years old
U.S.	36.50 years old

	13667 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	202	5.73%, see rank	6.53%	6.81%
5 to 9 years	220	6.24%, see rank	7.12%	7.30%
10 to 14 years	297	8.43%, see rank	7.02%	7.29%
15 to 19 years	292	8.29%, see rank	6.78%	7.18%
20 to 24 years	169	4.80%, see rank	6.56%	6.74%
25 to 34 years	415	11.78%, see rank	14.53%	14.18%
35 to 44 years	594	16.86%, see rank	16.20%	16.04%
45 to 54 years	473	13.42%, see rank	13.45%	13.39%
55 to 64 years	365	10.36%, see rank	8.90%	8.63%
65 to 74 years	282	8.00%, see rank	6.72%	6.54%
75 to 84	166	4.71%, see rank	4.54%	4.39%
85 years and over	49	1.39%, 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.