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10998 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 2,699

Median Age (see rank)

10998 Zip Code	43.00 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10998 Zip Code	43.00 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10998 Zip Code	43.00 years old
New York	39.60 years old
U.S.	38.80 years old

	10998 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	123	4.56%, see rank	5.97%	6.36%
5 to 9 years	244	9.04%, see rank	5.90%	6.51%
10 to 14 years	168	6.22%, see rank	6.07%	6.59%
15 to 19 years	231	8.56%, see rank	6.71%	6.85%
20 to 24 years	151	5.59%, see rank	7.33%	7.13%
25 to 34 years	162	6.00%, see rank	14.09%	13.47%
35 to 44 years	410	15.19%, see rank	13.02%	12.96%
45 to 54 years	638	23.64%, see rank	14.51%	14.09%
55 to 64 years	404	14.97%, see rank	12.35%	12.29%
65 to 74 years	109	4.04%, see rank	7.55%	7.64%
75 to 84	36	1.33%, see rank	4.42%	4.25%
85 years and over	23	0.85%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 3,122

Median Age (see rank)

10998 Zip Code	39.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10998 Zip Code	39.10 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10998 Zip Code	39.90 years old
New York	39.40 years old
U.S.	38.50 years old

	10998 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	182	5.83%, see rank	5.96%	6.54%
5 to 9 years	245	7.85%, see rank	6.01%	6.59%
10 to 14 years	288	9.22%, see rank	6.25%	6.70%
15 to 19 years	261	8.36%, see rank	7.05%	7.14%
20 to 24 years	155	4.96%, see rank	7.28%	6.99%
25 to 34 years	232	7.43%, see rank	13.72%	13.30%
35 to 44 years	519	16.62%, see rank	13.47%	13.30%
45 to 54 years	593	18.99%, see rank	14.86%	14.58%
55 to 64 years	338	10.83%, see rank	11.89%	11.82%
65 to 74 years	199	6.37%, see rank	7.02%	7.03%
75 to 84	81	2.59%, see rank	4.47%	4.23%
85 years and over	29	0.93%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 2,818

Median Age (see rank)

10998 Zip Code	45.60 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10998 Zip Code	45.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10998 Zip Code	45.50 years old
New York	39.40 years old
U.S.	38.50 years old

	10998 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	163	5.78%, see rank	5.98%	6.51%
5 to 9 years	216	7.67%, see rank	5.97%	6.57%
10 to 14 years	96	3.41%, see rank	6.25%	6.68%
15 to 19 years	280	9.94%, see rank	6.99%	7.09%
20 to 24 years	72	2.56%, see rank	7.27%	7.04%
25 to 34 years	145	5.15%, see rank	13.78%	13.32%
35 to 44 years	404	14.34%, see rank	13.50%	13.34%
45 to 54 years	678	24.06%, see rank	14.74%	14.44%
55 to 64 years	438	15.54%, see rank	11.91%	11.84%
65 to 74 years	256	9.08%, see rank	7.11%	7.12%
75 to 84	70	2.48%, see rank	4.49%	4.25%
85 years and over	0	0.00%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 3,648

Median Age (see rank)

10998 Zip Code	36.50 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10998 Zip Code	36.30 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10998 Zip Code	36.60 years old
New York	37.20 years old
U.S.	36.50 years old

	10998 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	240	6.58%, see rank	6.53%	6.81%
5 to 9 years	316	8.66%, see rank	7.12%	7.30%
10 to 14 years	360	9.87%, see rank	7.02%	7.29%
15 to 19 years	261	7.15%, see rank	6.78%	7.18%
20 to 24 years	141	3.87%, see rank	6.56%	6.74%
25 to 34 years	409	11.21%, see rank	14.53%	14.18%
35 to 44 years	733	20.09%, see rank	16.20%	16.04%
45 to 54 years	562	15.41%, see rank	13.45%	13.39%
55 to 64 years	324	8.88%, see rank	8.90%	8.63%
65 to 74 years	162	4.44%, see rank	6.72%	6.54%
75 to 84	105	2.88%, see rank	4.54%	4.39%
85 years and over	35	0.96%, 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.