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11940 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 4,982

Median Age (see rank)

11940 Zip Code	44.50 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

11940 Zip Code	40.40 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

11940 Zip Code	49.00 years old
New York	39.60 years old
U.S.	38.80 years old

	11940 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	240	4.82%, see rank	5.97%	6.36%
5 to 9 years	158	3.17%, see rank	5.90%	6.51%
10 to 14 years	303	6.08%, see rank	6.07%	6.59%
15 to 19 years	333	6.68%, see rank	6.71%	6.85%
20 to 24 years	449	9.01%, see rank	7.33%	7.13%
25 to 34 years	509	10.22%, see rank	14.09%	13.47%
35 to 44 years	523	10.50%, see rank	13.02%	12.96%
45 to 54 years	913	18.33%, see rank	14.51%	14.09%
55 to 64 years	873	17.52%, see rank	12.35%	12.29%
65 to 74 years	404	8.11%, see rank	7.55%	7.64%
75 to 84	213	4.28%, see rank	4.42%	4.25%
85 years and over	64	1.28%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,210

Median Age (see rank)

11940 Zip Code	44.30 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

11940 Zip Code	43.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

11940 Zip Code	45.10 years old
New York	39.40 years old
U.S.	38.50 years old

	11940 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	257	4.93%, see rank	5.96%	6.54%
5 to 9 years	314	6.03%, see rank	6.01%	6.59%
10 to 14 years	395	7.58%, see rank	6.25%	6.70%
15 to 19 years	387	7.43%, see rank	7.05%	7.14%
20 to 24 years	219	4.20%, see rank	7.28%	6.99%
25 to 34 years	369	7.08%, see rank	13.72%	13.30%
35 to 44 years	730	14.01%, see rank	13.47%	13.30%
45 to 54 years	902	17.31%, see rank	14.86%	14.58%
55 to 64 years	802	15.39%, see rank	11.89%	11.82%
65 to 74 years	454	8.71%, see rank	7.02%	7.03%
75 to 84	276	5.30%, see rank	4.47%	4.23%
85 years and over	105	2.02%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 4,933

Median Age (see rank)

11940 Zip Code	43.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

11940 Zip Code	41.50 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

11940 Zip Code	47.30 years old
New York	39.40 years old
U.S.	38.50 years old

	11940 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	249	5.05%, see rank	5.98%	6.51%
5 to 9 years	200	4.05%, see rank	5.97%	6.57%
10 to 14 years	272	5.51%, see rank	6.25%	6.68%
15 to 19 years	407	8.25%, see rank	6.99%	7.09%
20 to 24 years	350	7.10%, see rank	7.27%	7.04%
25 to 34 years	543	11.01%, see rank	13.78%	13.32%
35 to 44 years	551	11.17%, see rank	13.50%	13.34%
45 to 54 years	806	16.34%, see rank	14.74%	14.44%
55 to 64 years	929	18.83%, see rank	11.91%	11.84%
65 to 74 years	317	6.43%, see rank	7.11%	7.12%
75 to 84	212	4.30%, see rank	4.49%	4.25%
85 years and over	97	1.97%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 4,347

Median Age (see rank)

11940 Zip Code	37.80 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

11940 Zip Code	37.10 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

11940 Zip Code	38.50 years old
New York	37.20 years old
U.S.	36.50 years old

	11940 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	303	6.97%, see rank	6.53%	6.81%
5 to 9 years	376	8.65%, see rank	7.12%	7.30%
10 to 14 years	316	7.27%, see rank	7.02%	7.29%
15 to 19 years	262	6.03%, see rank	6.78%	7.18%
20 to 24 years	190	4.37%, see rank	6.56%	6.74%
25 to 34 years	502	11.55%, see rank	14.53%	14.18%
35 to 44 years	823	18.93%, see rank	16.20%	16.04%
45 to 54 years	712	16.38%, see rank	13.45%	13.39%
55 to 64 years	391	8.99%, see rank	8.90%	8.63%
65 to 74 years	261	6.00%, see rank	6.72%	6.54%
75 to 84	159	3.66%, see rank	4.54%	4.39%
85 years and over	52	1.20%, 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.