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12531 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 3,492

Median Age (see rank)

12531 Zip Code	45.30 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12531 Zip Code	45.10 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12531 Zip Code	46.30 years old
New York	39.60 years old
U.S.	38.80 years old

	12531 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	96	2.75%, see rank	5.97%	6.36%
5 to 9 years	98	2.81%, see rank	5.90%	6.51%
10 to 14 years	281	8.05%, see rank	6.07%	6.59%
15 to 19 years	339	9.71%, see rank	6.71%	6.85%
20 to 24 years	279	7.99%, see rank	7.33%	7.13%
25 to 34 years	257	7.36%, see rank	14.09%	13.47%
35 to 44 years	366	10.48%, see rank	13.02%	12.96%
45 to 54 years	734	21.02%, see rank	14.51%	14.09%
55 to 64 years	553	15.84%, see rank	12.35%	12.29%
65 to 74 years	256	7.33%, see rank	7.55%	7.64%
75 to 84	154	4.41%, see rank	4.42%	4.25%
85 years and over	79	2.26%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,601

Median Age (see rank)

12531 Zip Code	42.80 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12531 Zip Code	43.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12531 Zip Code	42.40 years old
New York	39.40 years old
U.S.	38.50 years old

	12531 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	197	5.47%, see rank	5.96%	6.54%
5 to 9 years	220	6.11%, see rank	6.01%	6.59%
10 to 14 years	275	7.64%, see rank	6.25%	6.70%
15 to 19 years	249	6.91%, see rank	7.05%	7.14%
20 to 24 years	199	5.53%, see rank	7.28%	6.99%
25 to 34 years	307	8.53%, see rank	13.72%	13.30%
35 to 44 years	475	13.19%, see rank	13.47%	13.30%
45 to 54 years	725	20.13%, see rank	14.86%	14.58%
55 to 64 years	524	14.55%, see rank	11.89%	11.82%
65 to 74 years	228	6.33%, see rank	7.02%	7.03%
75 to 84	132	3.67%, see rank	4.47%	4.23%
85 years and over	70	1.94%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 3,217

Median Age (see rank)

12531 Zip Code	45.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12531 Zip Code	46.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12531 Zip Code	44.50 years old
New York	39.40 years old
U.S.	38.50 years old

	12531 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	95	2.95%, see rank	5.98%	6.51%
5 to 9 years	131	4.07%, see rank	5.97%	6.57%
10 to 14 years	292	9.08%, see rank	6.25%	6.68%
15 to 19 years	251	7.80%, see rank	6.99%	7.09%
20 to 24 years	231	7.18%, see rank	7.27%	7.04%
25 to 34 years	216	6.71%, see rank	13.78%	13.32%
35 to 44 years	354	11.00%, see rank	13.50%	13.34%
45 to 54 years	715	22.23%, see rank	14.74%	14.44%
55 to 64 years	476	14.80%, see rank	11.91%	11.84%
65 to 74 years	229	7.12%, see rank	7.11%	7.12%
75 to 84	139	4.32%, see rank	4.49%	4.25%
85 years and over	88	2.74%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,051

Median Age (see rank)

12531 Zip Code	38.20 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12531 Zip Code	38.00 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12531 Zip Code	38.30 years old
New York	37.20 years old
U.S.	36.50 years old

	12531 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	231	7.57%, see rank	6.53%	6.81%
5 to 9 years	237	7.77%, see rank	7.12%	7.30%
10 to 14 years	255	8.36%, see rank	7.02%	7.29%
15 to 19 years	204	6.69%, see rank	6.78%	7.18%
20 to 24 years	96	3.15%, see rank	6.56%	6.74%
25 to 34 years	336	11.01%, see rank	14.53%	14.18%
35 to 44 years	586	19.21%, see rank	16.20%	16.04%
45 to 54 years	468	15.34%, see rank	13.45%	13.39%
55 to 64 years	253	8.29%, see rank	8.90%	8.63%
65 to 74 years	165	5.41%, see rank	6.72%	6.54%
75 to 84	117	3.83%, see rank	4.54%	4.39%
85 years and over	103	3.38%, 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.