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10069 Zip Code Historical Age Data

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ACS 2010-2014 data

Total population: 5,523

Median Age (see rank)

10069 Zip Code	35.80 years old
New York	38.10 years old
U.S.	37.40 years old

Median Age, Male (see rank)

10069 Zip Code	33.80 years old
New York	36.50 years old
U.S.	36.10 years old

Median Age, Female (see rank)

10069 Zip Code	37.40 years old
New York	39.60 years old
U.S.	38.80 years old

	10069 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	456	8.26%, see rank	5.97%	6.36%
5 to 9 years	273	4.94%, see rank	5.90%	6.51%
10 to 14 years	135	2.44%, see rank	6.07%	6.59%
15 to 19 years	78	1.41%, see rank	6.71%	6.85%
20 to 24 years	91	1.65%, see rank	7.33%	7.13%
25 to 34 years	1,499	27.14%, see rank	14.09%	13.47%
35 to 44 years	1,532	27.74%, see rank	13.02%	12.96%
45 to 54 years	593	10.74%, see rank	14.51%	14.09%
55 to 64 years	550	9.96%, see rank	12.35%	12.29%
65 to 74 years	214	3.87%, see rank	7.55%	7.64%
75 to 84	73	1.32%, see rank	4.42%	4.25%
85 years and over	29	0.53%, see rank	2.10%	1.85%

US Census 2010 data

Total population: 5,199

Median Age (see rank)

10069 Zip Code	35.90 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10069 Zip Code	36.60 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10069 Zip Code	35.30 years old
New York	39.40 years old
U.S.	38.50 years old

	10069 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	476	9.16%, see rank	5.96%	6.54%
5 to 9 years	250	4.81%, see rank	6.01%	6.59%
10 to 14 years	119	2.29%, see rank	6.25%	6.70%
15 to 19 years	84	1.62%, see rank	7.05%	7.14%
20 to 24 years	220	4.23%, see rank	7.28%	6.99%
25 to 34 years	1,314	25.27%, see rank	13.72%	13.30%
35 to 44 years	1,222	23.50%, see rank	13.47%	13.30%
45 to 54 years	639	12.29%, see rank	14.86%	14.58%
55 to 64 years	444	8.54%, see rank	11.89%	11.82%
65 to 74 years	303	5.83%, see rank	7.02%	7.03%
75 to 84	101	1.94%, see rank	4.47%	4.23%
85 years and over	27	0.52%, see rank	2.02%	1.78%

ACS 2008-2012 data

Total population: 5,359

Median Age (see rank)

10069 Zip Code	35.70 years old
New York	38.00 years old
U.S.	37.20 years old

Median Age, Male (see rank)

10069 Zip Code	32.80 years old
New York	36.30 years old
U.S.	35.80 years old

Median Age, Female (see rank)

10069 Zip Code	37.00 years old
New York	39.40 years old
U.S.	38.50 years old

	10069 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	613	11.44%, see rank	5.98%	6.51%
5 to 9 years	253	4.72%, see rank	5.97%	6.57%
10 to 14 years	118	2.20%, see rank	6.25%	6.68%
15 to 19 years	16	0.30%, see rank	6.99%	7.09%
20 to 24 years	37	0.69%, see rank	7.27%	7.04%
25 to 34 years	1,396	26.05%, see rank	13.78%	13.32%
35 to 44 years	1,563	29.17%, see rank	13.50%	13.34%
45 to 54 years	528	9.85%, see rank	14.74%	14.44%
55 to 64 years	451	8.42%, see rank	11.91%	11.84%
65 to 74 years	242	4.52%, see rank	7.11%	7.12%
75 to 84	107	2.00%, see rank	4.49%	4.25%
85 years and over	35	0.65%, see rank	2.02%	1.78%

US Census 2000 data

Total population: 1,403

Median Age (see rank)

10069 Zip Code	32.70 years old
New York	35.90 years old
U.S.	35.30 years old

Median Age, Male (see rank)

10069 Zip Code	34.40 years old
New York	34.50 years old
U.S.	34.00 years old

Median Age, Female (see rank)

10069 Zip Code	31.00 years old
New York	37.20 years old
U.S.	36.50 years old

	10069 Zip Code	% of the Total Population	New York	U.S.
Under 5 years	57	4.06%, see rank	6.53%	6.81%
5 to 9 years	35	2.49%, see rank	7.12%	7.30%
10 to 14 years	16	1.14%, see rank	7.02%	7.29%
15 to 19 years	15	1.07%, see rank	6.78%	7.18%
20 to 24 years	85	6.06%, see rank	6.56%	6.74%
25 to 34 years	591	42.12%, see rank	14.53%	14.18%
35 to 44 years	312	22.24%, see rank	16.20%	16.04%
45 to 54 years	151	10.76%, see rank	13.45%	13.39%
55 to 64 years	96	6.84%, see rank	8.90%	8.63%
65 to 74 years	34	2.42%, see rank	6.72%	6.54%
75 to 84	7	0.50%, see rank	4.54%	4.39%
85 years and over	4	0.29%, 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.