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12019 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 14,893

Median Age (see rank)

12019 Zip Code	43.50 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12019 Zip Code	44.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12019 Zip Code	43.10 years old
New York	39.60 years old
U.S.	38.80 years old

	12019 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	725	4.87%, see rank	5.97%	6.36%
5 to 9 years	984	6.61%, see rank	5.90%	6.51%
10 to 14 years	967	6.49%, see rank	6.07%	6.59%
15 to 19 years	940	6.31%, see rank	6.71%	6.85%
20 to 24 years	802	5.39%, see rank	7.33%	7.13%
25 to 34 years	1,305	8.76%, see rank	14.09%	13.47%
35 to 44 years	1,976	13.27%, see rank	13.02%	12.96%
45 to 54 years	2,155	14.47%, see rank	14.51%	14.09%
55 to 64 years	2,578	17.31%, see rank	12.35%	12.29%
65 to 74 years	1,619	10.87%, see rank	7.55%	7.64%
75 to 84	659	4.42%, see rank	4.42%	4.25%
85 years and over	183	1.23%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 14,740

Median Age (see rank)

12019 Zip Code	43.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12019 Zip Code	42.40 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12019 Zip Code	43.70 years old
New York	39.40 years old
U.S.	38.50 years old

	12019 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	826	5.60%, see rank	5.96%	6.54%
5 to 9 years	961	6.52%, see rank	6.01%	6.59%
10 to 14 years	1,078	7.31%, see rank	6.25%	6.70%
15 to 19 years	926	6.28%, see rank	7.05%	7.14%
20 to 24 years	634	4.30%, see rank	7.28%	6.99%
25 to 34 years	1,296	8.79%, see rank	13.72%	13.30%
35 to 44 years	2,110	14.31%, see rank	13.47%	13.30%
45 to 54 years	2,518	17.08%, see rank	14.86%	14.58%
55 to 64 years	2,184	14.82%, see rank	11.89%	11.82%
65 to 74 years	1,328	9.01%, see rank	7.02%	7.03%
75 to 84	680	4.61%, see rank	4.47%	4.23%
85 years and over	199	1.35%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 15,125

Median Age (see rank)

12019 Zip Code	42.10 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12019 Zip Code	42.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12019 Zip Code	41.40 years old
New York	39.40 years old
U.S.	38.50 years old

	12019 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	783	5.18%, see rank	5.98%	6.51%
5 to 9 years	993	6.57%, see rank	5.97%	6.57%
10 to 14 years	975	6.45%, see rank	6.25%	6.68%
15 to 19 years	1,093	7.23%, see rank	6.99%	7.09%
20 to 24 years	943	6.23%, see rank	7.27%	7.04%
25 to 34 years	1,385	9.16%, see rank	13.78%	13.32%
35 to 44 years	2,094	13.84%, see rank	13.50%	13.34%
45 to 54 years	2,433	16.09%, see rank	14.74%	14.44%
55 to 64 years	2,186	14.45%, see rank	11.91%	11.84%
65 to 74 years	1,488	9.84%, see rank	7.11%	7.12%
75 to 84	633	4.19%, see rank	4.49%	4.25%
85 years and over	119	0.79%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 13,320

Median Age (see rank)

12019 Zip Code	39.30 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12019 Zip Code	38.50 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12019 Zip Code	39.80 years old
New York	37.20 years old
U.S.	36.50 years old

	12019 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	796	5.98%, see rank	6.53%	6.81%
5 to 9 years	970	7.28%, see rank	7.12%	7.30%
10 to 14 years	1,093	8.21%, see rank	7.02%	7.29%
15 to 19 years	876	6.58%, see rank	6.78%	7.18%
20 to 24 years	507	3.81%, see rank	6.56%	6.74%
25 to 34 years	1,550	11.64%, see rank	14.53%	14.18%
35 to 44 years	2,191	16.45%, see rank	16.20%	16.04%
45 to 54 years	2,294	17.22%, see rank	13.45%	13.39%
55 to 64 years	1,491	11.19%, see rank	8.90%	8.63%
65 to 74 years	931	6.99%, see rank	6.72%	6.54%
75 to 84	508	3.81%, see rank	4.54%	4.39%
85 years and over	113	0.85%, 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.