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14042 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,783

Median Age (see rank)

14042 Zip Code	38.70 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14042 Zip Code	37.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14042 Zip Code	39.50 years old
New York	39.60 years old
U.S.	38.80 years old

	14042 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	274	7.24%, see rank	5.97%	6.36%
5 to 9 years	241	6.37%, see rank	5.90%	6.51%
10 to 14 years	261	6.90%, see rank	6.07%	6.59%
15 to 19 years	294	7.77%, see rank	6.71%	6.85%
20 to 24 years	248	6.56%, see rank	7.33%	7.13%
25 to 34 years	445	11.76%, see rank	14.09%	13.47%
35 to 44 years	423	11.18%, see rank	13.02%	12.96%
45 to 54 years	567	14.99%, see rank	14.51%	14.09%
55 to 64 years	545	14.41%, see rank	12.35%	12.29%
65 to 74 years	216	5.71%, see rank	7.55%	7.64%
75 to 84	190	5.02%, see rank	4.42%	4.25%
85 years and over	79	2.09%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,969

Median Age (see rank)

14042 Zip Code	39.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14042 Zip Code	38.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14042 Zip Code	40.10 years old
New York	39.40 years old
U.S.	38.50 years old

	14042 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	286	7.21%, see rank	5.96%	6.54%
5 to 9 years	251	6.32%, see rank	6.01%	6.59%
10 to 14 years	268	6.75%, see rank	6.25%	6.70%
15 to 19 years	260	6.55%, see rank	7.05%	7.14%
20 to 24 years	267	6.73%, see rank	7.28%	6.99%
25 to 34 years	441	11.11%, see rank	13.72%	13.30%
35 to 44 years	523	13.18%, see rank	13.47%	13.30%
45 to 54 years	652	16.43%, see rank	14.86%	14.58%
55 to 64 years	491	12.37%, see rank	11.89%	11.82%
65 to 74 years	306	7.71%, see rank	7.02%	7.03%
75 to 84	166	4.18%, see rank	4.47%	4.23%
85 years and over	58	1.46%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,915

Median Age (see rank)

14042 Zip Code	36.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14042 Zip Code	36.90 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14042 Zip Code	36.30 years old
New York	39.40 years old
U.S.	38.50 years old

	14042 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	302	7.71%, see rank	5.98%	6.51%
5 to 9 years	216	5.52%, see rank	5.97%	6.57%
10 to 14 years	332	8.48%, see rank	6.25%	6.68%
15 to 19 years	353	9.02%, see rank	6.99%	7.09%
20 to 24 years	227	5.80%, see rank	7.27%	7.04%
25 to 34 years	456	11.65%, see rank	13.78%	13.32%
35 to 44 years	510	13.03%, see rank	13.50%	13.34%
45 to 54 years	545	13.92%, see rank	14.74%	14.44%
55 to 64 years	504	12.87%, see rank	11.91%	11.84%
65 to 74 years	201	5.13%, see rank	7.11%	7.12%
75 to 84	216	5.52%, see rank	4.49%	4.25%
85 years and over	53	1.35%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,553

Median Age (see rank)

14042 Zip Code	35.90 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14042 Zip Code	34.70 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14042 Zip Code	37.40 years old
New York	37.20 years old
U.S.	36.50 years old

	14042 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	317	6.96%, see rank	6.53%	6.81%
5 to 9 years	326	7.16%, see rank	7.12%	7.30%
10 to 14 years	378	8.30%, see rank	7.02%	7.29%
15 to 19 years	400	8.79%, see rank	6.78%	7.18%
20 to 24 years	249	5.47%, see rank	6.56%	6.74%
25 to 34 years	544	11.95%, see rank	14.53%	14.18%
35 to 44 years	776	17.04%, see rank	16.20%	16.04%
45 to 54 years	619	13.60%, see rank	13.45%	13.39%
55 to 64 years	395	8.68%, see rank	8.90%	8.63%
65 to 74 years	308	6.76%, see rank	6.72%	6.54%
75 to 84	190	4.17%, see rank	4.54%	4.39%
85 years and over	51	1.12%, 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.