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12170 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,894

Median Age (see rank)

12170 Zip Code	37.90 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

12170 Zip Code	37.20 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

12170 Zip Code	38.30 years old
New York	39.60 years old
U.S.	38.80 years old

	12170 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	358	7.32%, see rank	5.97%	6.36%
5 to 9 years	349	7.13%, see rank	5.90%	6.51%
10 to 14 years	374	7.64%, see rank	6.07%	6.59%
15 to 19 years	497	10.16%, see rank	6.71%	6.85%
20 to 24 years	231	4.72%, see rank	7.33%	7.13%
25 to 34 years	427	8.72%, see rank	14.09%	13.47%
35 to 44 years	784	16.02%, see rank	13.02%	12.96%
45 to 54 years	751	15.35%, see rank	14.51%	14.09%
55 to 64 years	454	9.28%, see rank	12.35%	12.29%
65 to 74 years	402	8.21%, see rank	7.55%	7.64%
75 to 84	159	3.25%, see rank	4.42%	4.25%
85 years and over	108	2.21%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 4,945

Median Age (see rank)

12170 Zip Code	40.80 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12170 Zip Code	40.30 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12170 Zip Code	41.50 years old
New York	39.40 years old
U.S.	38.50 years old

	12170 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	290	5.86%, see rank	5.96%	6.54%
5 to 9 years	324	6.55%, see rank	6.01%	6.59%
10 to 14 years	336	6.79%, see rank	6.25%	6.70%
15 to 19 years	374	7.56%, see rank	7.05%	7.14%
20 to 24 years	268	5.42%, see rank	7.28%	6.99%
25 to 34 years	505	10.21%, see rank	13.72%	13.30%
35 to 44 years	710	14.36%, see rank	13.47%	13.30%
45 to 54 years	873	17.65%, see rank	14.86%	14.58%
55 to 64 years	638	12.90%, see rank	11.89%	11.82%
65 to 74 years	387	7.83%, see rank	7.02%	7.03%
75 to 84	170	3.44%, see rank	4.47%	4.23%
85 years and over	70	1.42%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,073

Median Age (see rank)

12170 Zip Code	40.00 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

12170 Zip Code	38.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

12170 Zip Code	40.60 years old
New York	39.40 years old
U.S.	38.50 years old

	12170 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	401	7.90%, see rank	5.98%	6.51%
5 to 9 years	391	7.71%, see rank	5.97%	6.57%
10 to 14 years	344	6.78%, see rank	6.25%	6.68%
15 to 19 years	394	7.77%, see rank	6.99%	7.09%
20 to 24 years	172	3.39%, see rank	7.27%	7.04%
25 to 34 years	495	9.76%, see rank	13.78%	13.32%
35 to 44 years	828	16.32%, see rank	13.50%	13.34%
45 to 54 years	869	17.13%, see rank	14.74%	14.44%
55 to 64 years	448	8.83%, see rank	11.91%	11.84%
65 to 74 years	514	10.13%, see rank	7.11%	7.12%
75 to 84	185	3.65%, see rank	4.49%	4.25%
85 years and over	32	0.63%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 5,037

Median Age (see rank)

12170 Zip Code	36.00 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

12170 Zip Code	35.20 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

12170 Zip Code	36.70 years old
New York	37.20 years old
U.S.	36.50 years old

	12170 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	340	6.75%, see rank	6.53%	6.81%
5 to 9 years	422	8.38%, see rank	7.12%	7.30%
10 to 14 years	419	8.32%, see rank	7.02%	7.29%
15 to 19 years	366	7.27%, see rank	6.78%	7.18%
20 to 24 years	229	4.55%, see rank	6.56%	6.74%
25 to 34 years	644	12.79%, see rank	14.53%	14.18%
35 to 44 years	954	18.94%, see rank	16.20%	16.04%
45 to 54 years	742	14.73%, see rank	13.45%	13.39%
55 to 64 years	456	9.05%, see rank	8.90%	8.63%
65 to 74 years	263	5.22%, see rank	6.72%	6.54%
75 to 84	171	3.39%, see rank	4.54%	4.39%
85 years and over	31	0.62%, 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.