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12487 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,243

Median Age (see rank)

12487 Zip Code	43.00 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12487 Zip Code	42.30 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12487 Zip Code	43.30 years old
New York	39.60 years old
U.S.	38.80 years old

	12487 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	122	3.76%, see rank	5.97%	6.36%
5 to 9 years	177	5.46%, see rank	5.90%	6.51%
10 to 14 years	210	6.48%, see rank	6.07%	6.59%
15 to 19 years	194	5.98%, see rank	6.71%	6.85%
20 to 24 years	196	6.04%, see rank	7.33%	7.13%
25 to 34 years	330	10.18%, see rank	14.09%	13.47%
35 to 44 years	461	14.22%, see rank	13.02%	12.96%
45 to 54 years	484	14.92%, see rank	14.51%	14.09%
55 to 64 years	505	15.57%, see rank	12.35%	12.29%
65 to 74 years	395	12.18%, see rank	7.55%	7.64%
75 to 84	136	4.19%, see rank	4.42%	4.25%
85 years and over	33	1.02%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,268

Median Age (see rank)

12487 Zip Code	43.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12487 Zip Code	43.00 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12487 Zip Code	43.50 years old
New York	39.40 years old
U.S.	38.50 years old

	12487 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	181	5.54%, see rank	5.96%	6.54%
5 to 9 years	187	5.72%, see rank	6.01%	6.59%
10 to 14 years	215	6.58%, see rank	6.25%	6.70%
15 to 19 years	210	6.43%, see rank	7.05%	7.14%
20 to 24 years	180	5.51%, see rank	7.28%	6.99%
25 to 34 years	357	10.92%, see rank	13.72%	13.30%
35 to 44 years	394	12.06%, see rank	13.47%	13.30%
45 to 54 years	542	16.59%, see rank	14.86%	14.58%
55 to 64 years	536	16.40%, see rank	11.89%	11.82%
65 to 74 years	266	8.14%, see rank	7.02%	7.03%
75 to 84	151	4.62%, see rank	4.47%	4.23%
85 years and over	49	1.50%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,153

Median Age (see rank)

12487 Zip Code	40.80 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12487 Zip Code	40.70 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12487 Zip Code	40.80 years old
New York	39.40 years old
U.S.	38.50 years old

	12487 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	181	5.74%, see rank	5.98%	6.51%
5 to 9 years	180	5.71%, see rank	5.97%	6.57%
10 to 14 years	199	6.31%, see rank	6.25%	6.68%
15 to 19 years	319	10.12%, see rank	6.99%	7.09%
20 to 24 years	138	4.38%, see rank	7.27%	7.04%
25 to 34 years	307	9.74%, see rank	13.78%	13.32%
35 to 44 years	521	16.52%, see rank	13.50%	13.34%
45 to 54 years	523	16.59%, see rank	14.74%	14.44%
55 to 64 years	470	14.91%, see rank	11.91%	11.84%
65 to 74 years	169	5.36%, see rank	7.11%	7.12%
75 to 84	136	4.31%, see rank	4.49%	4.25%
85 years and over	10	0.32%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,856

Median Age (see rank)

12487 Zip Code	38.60 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12487 Zip Code	38.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12487 Zip Code	39.00 years old
New York	37.20 years old
U.S.	36.50 years old

	12487 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	236	6.12%, see rank	6.53%	6.81%
5 to 9 years	297	7.70%, see rank	7.12%	7.30%
10 to 14 years	294	7.62%, see rank	7.02%	7.29%
15 to 19 years	250	6.48%, see rank	6.78%	7.18%
20 to 24 years	192	4.98%, see rank	6.56%	6.74%
25 to 34 years	452	11.72%, see rank	14.53%	14.18%
35 to 44 years	678	17.58%, see rank	16.20%	16.04%
45 to 54 years	648	16.80%, see rank	13.45%	13.39%
55 to 64 years	371	9.62%, see rank	8.90%	8.63%
65 to 74 years	251	6.51%, see rank	6.72%	6.54%
75 to 84	143	3.71%, see rank	4.54%	4.39%
85 years and over	44	1.14%, 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.