Zip Codes with the Oldest Female Population in Maryland [ 401 - 500 ]
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Oldest Population | Female
Maryland
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Zip Codes with the Oldest Female Population in Maryland
| Zip Code | Median Age | vs State | vs National | |
| 401. | 21075 | 34.8 | 40.4(-5.60)#401 | 39.7(-4.90)#27,370 |
| 402. | 21649 | 34.6 | 40.4(-5.80)#402 | 39.7(-5.10)#27,580 |
| 403. | 21920 | 34.6 | 40.4(-5.80)#403 | 39.7(-5.10)#27,603 |
| 404. | 20653 | 34.5 | 40.4(-5.90)#404 | 39.7(-5.20)#27,637 |
| 405. | 21647 | 34.4 | 40.4(-6.00)#405 | 39.7(-5.30)#27,756 |
| 406. | 21804 | 34.3 | 40.4(-6.10)#406 | 39.7(-5.40)#27,775 |
| 407. | 21864 | 34.2 | 40.4(-6.20)#407 | 39.7(-5.50)#27,904 |
| 408. | 20903 | 33.9 | 40.4(-6.50)#408 | 39.7(-5.80)#28,085 |
| 409. | 20634 | 33.9 | 40.4(-6.50)#409 | 39.7(-5.80)#28,102 |
| 410. | 21051 | 33.9 | 40.4(-6.50)#410 | 39.7(-5.80)#28,154 |
| 411. | 20710 | 33.8 | 40.4(-6.60)#411 | 39.7(-5.90)#28,191 |
| 412. | 21841 | 33.7 | 40.4(-6.70)#412 | 39.7(-6.00)#28,306 |
| 413. | 21639 | 33.6 | 40.4(-6.80)#413 | 39.7(-6.10)#28,352 |
| 414. | 21230 | 33.5 | 40.4(-6.90)#414 | 39.7(-6.20)#28,397 |
| 415. | 21231 | 33.5 | 40.4(-6.90)#415 | 39.7(-6.20)#28,415 |
| 416. | 20737 | 33.3 | 40.4(-7.10)#416 | 39.7(-6.40)#28,568 |
| 417. | 20724 | 33.0 | 40.4(-7.40)#417 | 39.7(-6.70)#28,744 |
| 418. | 21822 | 33.0 | 40.4(-7.40)#418 | 39.7(-6.70)#28,759 |
| 419. | 21540 | 33.0 | 40.4(-7.40)#419 | 39.7(-6.70)#28,785 |
| 420. | 21071 | 32.8 | 40.4(-7.60)#420 | 39.7(-6.90)#28,914 |
| 421. | 21853 | 32.5 | 40.4(-7.90)#421 | 39.7(-7.20)#29,076 |
| 422. | 21641 | 32.5 | 40.4(-7.90)#422 | 39.7(-7.20)#29,112 |
| 423. | 21201 | 32.2 | 40.4(-8.20)#423 | 39.7(-7.50)#29,255 |
| 424. | 20680 | 32.1 | 40.4(-8.30)#424 | 39.7(-7.60)#29,326 |
| 425. | 21202 | 32.0 | 40.4(-8.40)#425 | 39.7(-7.70)#29,351 |
| 426. | 21210 | 31.8 | 40.4(-8.60)#426 | 39.7(-7.90)#29,465 |
| 427. | 21226 | 31.6 | 40.4(-8.80)#427 | 39.7(-8.10)#29,583 |
| 428. | 21557 | 31.5 | 40.4(-8.90)#428 | 39.7(-8.20)#29,633 |
| 429. | 21664 | 31.5 | 40.4(-8.90)#429 | 39.7(-8.20)#29,645 |
| 430. | 21913 | 31.4 | 40.4(-9.00)#430 | 39.7(-8.30)#29,691 |
| 431. | 20783 | 31.2 | 40.4(-9.20)#431 | 39.7(-8.50)#29,751 |
| 432. | 20701 | 30.4 | 40.4(-10.00)#432 | 39.7(-9.30)#30,101 |
| 433. | 21542 | 30.4 | 40.4(-10.00)#433 | 39.7(-9.30)#30,105 |
| 434. | 21005 | 29.8 | 40.4(-10.6)#434 | 39.7(-9.90)#30,302 |
| 435. | 21826 | 29.6 | 40.4(-10.8)#435 | 39.7(-10.1)#30,368 |
| 436. | 20755 | 27.4 | 40.4(-13.0)#436 | 39.7(-12.3)#30,908 |
| 437. | 21727 | 27.1 | 40.4(-13.3)#437 | 39.7(-12.6)#30,965 |
| 438. | 21779 | 25.8 | 40.4(-14.6)#438 | 39.7(-13.9)#31,170 |
| 439. | 21156 | 24.3 | 40.4(-16.1)#439 | 39.7(-15.4)#31,349 |
| 440. | 20740 | 23.0 | 40.4(-17.4)#440 | 39.7(-16.7)#31,472 |
| 441. | 20868 | 21.5 | 40.4(-18.9)#441 | 39.7(-18.2)#31,677 |
| 442. | 20670 | 21.1 | 40.4(-19.3)#442 | 39.7(-18.6)#31,718 |
| 443. | 20889 | 20.9 | 40.4(-19.5)#443 | 39.7(-18.8)#31,740 |
| 444. | 21402 | 20.5 | 40.4(-19.9)#444 | 39.7(-19.2)#31,796 |
| 445. | 20686 | 20.3 | 40.4(-20.1)#445 | 39.7(-19.4)#31,834 |
| 446. | 21250 | 19.9 | 40.4(-20.5)#446 | 39.7(-19.8)#31,879 |
| 447. | 21252 | 19.8 | 40.4(-20.6)#447 | 39.7(-19.9)#31,906 |
| 448. | 20693 | 19.8 | 40.4(-20.6)#448 | 39.7(-19.9)#31,915 |
| 449. | 21251 | 19.5 | 40.4(-20.9)#449 | 39.7(-20.2)#31,992 |
| 450. | 20742 | 18.8 | 40.4(-21.6)#450 | 39.7(-20.9)#32,112 |
| 451. | 21890 | 18.7 | 40.4(-21.7)#451 | 39.7(-21.0)#32,125 |
| 452. | 21010 | 17.9 | 40.4(-22.5)#452 | 39.7(-21.8)#32,153 |
| 453. | 20762 | 17.5 | 40.4(-22.9)#453 | 39.7(-22.2)#32,167 |
| 454. | 21781 | 17.5 | 40.4(-22.9)#454 | 39.7(-22.2)#32,169 |
| 455. | 21023 | 5.8 | 40.4(-34.6)#455 | 39.7(-33.9)#32,324 |