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14013 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 1,732

Median Age (see rank)

14013 Zip Code	49.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

14013 Zip Code	48.20 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

14013 Zip Code	52.10 years old
New York	39.60 years old
U.S.	38.80 years old

	14013 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	72	4.16%, see rank	5.97%	6.36%
5 to 9 years	76	4.39%, see rank	5.90%	6.51%
10 to 14 years	62	3.58%, see rank	6.07%	6.59%
15 to 19 years	95	5.48%, see rank	6.71%	6.85%
20 to 24 years	98	5.66%, see rank	7.33%	7.13%
25 to 34 years	170	9.82%, see rank	14.09%	13.47%
35 to 44 years	162	9.35%, see rank	13.02%	12.96%
45 to 54 years	370	21.36%, see rank	14.51%	14.09%
55 to 64 years	282	16.28%, see rank	12.35%	12.29%
65 to 74 years	179	10.33%, see rank	7.55%	7.64%
75 to 84	117	6.76%, see rank	4.42%	4.25%
85 years and over	49	2.83%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 1,751

Median Age (see rank)

14013 Zip Code	41.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14013 Zip Code	40.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14013 Zip Code	42.00 years old
New York	39.40 years old
U.S.	38.50 years old

	14013 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	105	6.00%, see rank	5.96%	6.54%
5 to 9 years	98	5.60%, see rank	6.01%	6.59%
10 to 14 years	132	7.54%, see rank	6.25%	6.70%
15 to 19 years	129	7.37%, see rank	7.05%	7.14%
20 to 24 years	104	5.94%, see rank	7.28%	6.99%
25 to 34 years	191	10.91%, see rank	13.72%	13.30%
35 to 44 years	208	11.88%, see rank	13.47%	13.30%
45 to 54 years	297	16.96%, see rank	14.86%	14.58%
55 to 64 years	214	12.22%, see rank	11.89%	11.82%
65 to 74 years	137	7.82%, see rank	7.02%	7.03%
75 to 84	102	5.83%, see rank	4.47%	4.23%
85 years and over	34	1.94%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 1,816

Median Age (see rank)

14013 Zip Code	44.50 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

14013 Zip Code	45.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

14013 Zip Code	43.80 years old
New York	39.40 years old
U.S.	38.50 years old

	14013 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	60	3.30%, see rank	5.98%	6.51%
5 to 9 years	129	7.10%, see rank	5.97%	6.57%
10 to 14 years	148	8.15%, see rank	6.25%	6.68%
15 to 19 years	137	7.54%, see rank	6.99%	7.09%
20 to 24 years	80	4.41%, see rank	7.27%	7.04%
25 to 34 years	161	8.87%, see rank	13.78%	13.32%
35 to 44 years	199	10.96%, see rank	13.50%	13.34%
45 to 54 years	356	19.60%, see rank	14.74%	14.44%
55 to 64 years	204	11.23%, see rank	11.91%	11.84%
65 to 74 years	199	10.96%, see rank	7.11%	7.12%
75 to 84	106	5.84%, see rank	4.49%	4.25%
85 years and over	37	2.04%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 1,822

Median Age (see rank)

14013 Zip Code	35.60 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

14013 Zip Code	34.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

14013 Zip Code	36.80 years old
New York	37.20 years old
U.S.	36.50 years old

	14013 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	105	5.76%, see rank	6.53%	6.81%
5 to 9 years	160	8.78%, see rank	7.12%	7.30%
10 to 14 years	169	9.28%, see rank	7.02%	7.29%
15 to 19 years	148	8.12%, see rank	6.78%	7.18%
20 to 24 years	105	5.76%, see rank	6.56%	6.74%
25 to 34 years	200	10.98%, see rank	14.53%	14.18%
35 to 44 years	313	17.18%, see rank	16.20%	16.04%
45 to 54 years	236	12.95%, see rank	13.45%	13.39%
55 to 64 years	151	8.29%, see rank	8.90%	8.63%
65 to 74 years	125	6.86%, see rank	6.72%	6.54%
75 to 84	100	5.49%, see rank	4.54%	4.39%
85 years and over	10	0.55%, 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.