Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland [ 301 - 400 ]
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Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maryland
| Zip Code | Births / 1,000 Women | vs State | vs National | |
| 301. | 21727 | 26.0 | 52.0(-26.0)#301 | 53.0(-27.0)#21,628 |
| 302. | 21638 | 26.0 | 52.0(-26.0)#302 | 53.0(-27.0)#21,645 |
| 303. | 21132 | 26.0 | 52.0(-26.0)#303 | 53.0(-27.0)#21,673 |
| 304. | 21673 | 26.0 | 52.0(-26.0)#304 | 53.0(-27.0)#21,679 |
| 305. | 21160 | 26.0 | 52.0(-26.0)#305 | 53.0(-27.0)#21,683 |
| 306. | 21737 | 26.0 | 52.0(-26.0)#306 | 53.0(-27.0)#21,694 |
| 307. | 20689 | 26.0 | 52.0(-26.0)#307 | 53.0(-27.0)#21,700 |
| 308. | 21804 | 25.0 | 52.0(-27.0)#308 | 53.0(-28.0)#21,786 |
| 309. | 21015 | 25.0 | 52.0(-27.0)#309 | 53.0(-28.0)#21,799 |
| 310. | 21214 | 25.0 | 52.0(-27.0)#310 | 53.0(-28.0)#21,833 |
| 311. | 21108 | 25.0 | 52.0(-27.0)#311 | 53.0(-28.0)#21,851 |
| 312. | 21090 | 25.0 | 52.0(-27.0)#312 | 53.0(-28.0)#21,882 |
| 313. | 21655 | 25.0 | 52.0(-27.0)#313 | 53.0(-28.0)#21,940 |
| 314. | 20778 | 25.0 | 52.0(-27.0)#314 | 53.0(-28.0)#21,972 |
| 315. | 20634 | 24.0 | 52.0(-28.0)#315 | 53.0(-29.0)#22,157 |
| 316. | 21668 | 23.0 | 52.0(-29.0)#316 | 53.0(-30.0)#22,492 |
| 317. | 21042 | 22.0 | 52.0(-30.0)#317 | 53.0(-31.0)#22,548 |
| 318. | 21722 | 22.0 | 52.0(-30.0)#318 | 53.0(-31.0)#22,634 |
| 319. | 21161 | 22.0 | 52.0(-30.0)#319 | 53.0(-31.0)#22,644 |
| 320. | 21153 | 22.0 | 52.0(-30.0)#320 | 53.0(-31.0)#22,766 |
| 321. | 21163 | 21.0 | 52.0(-31.0)#321 | 53.0(-32.0)#22,877 |
| 322. | 20616 | 21.0 | 52.0(-31.0)#322 | 53.0(-32.0)#22,883 |
| 323. | 21658 | 21.0 | 52.0(-31.0)#323 | 53.0(-32.0)#22,918 |
| 324. | 20714 | 20.0 | 52.0(-32.0)#324 | 53.0(-33.0)#23,120 |
| 325. | 21028 | 20.0 | 52.0(-32.0)#325 | 53.0(-33.0)#23,151 |
| 326. | 20746 | 19.0 | 52.0(-33.0)#326 | 53.0(-34.0)#23,265 |
| 327. | 21903 | 19.0 | 52.0(-33.0)#327 | 53.0(-34.0)#23,342 |
| 328. | 21541 | 19.0 | 52.0(-33.0)#328 | 53.0(-34.0)#23,396 |
| 329. | 20816 | 18.0 | 52.0(-34.0)#329 | 53.0(-35.0)#23,473 |
| 330. | 21053 | 18.0 | 52.0(-34.0)#330 | 53.0(-35.0)#23,549 |
| 331. | 20777 | 17.0 | 52.0(-35.0)#331 | 53.0(-36.0)#23,721 |
| 332. | 21678 | 17.0 | 52.0(-35.0)#332 | 53.0(-36.0)#23,751 |
| 333. | 20693 | 17.0 | 52.0(-35.0)#333 | 53.0(-36.0)#23,760 |
| 334. | 21005 | 16.0 | 52.0(-36.0)#334 | 53.0(-37.0)#23,894 |
| 335. | 20812 | 16.0 | 52.0(-36.0)#335 | 53.0(-37.0)#23,966 |
| 336. | 21801 | 15.0 | 52.0(-37.0)#336 | 53.0(-38.0)#23,973 |
| 337. | 21029 | 14.0 | 52.0(-38.0)#337 | 53.0(-39.0)#24,180 |
| 338. | 20838 | 14.0 | 52.0(-38.0)#338 | 53.0(-39.0)#24,311 |
| 339. | 20607 | 12.0 | 52.0(-40.0)#339 | 53.0(-41.0)#24,487 |
| 340. | 21913 | 12.0 | 52.0(-40.0)#340 | 53.0(-41.0)#24,589 |
| 341. | 21536 | 11.0 | 52.0(-41.0)#341 | 53.0(-42.0)#24,669 |
| 342. | 21620 | 10.0 | 52.0(-42.0)#342 | 53.0(-43.0)#24,755 |
| 343. | 20833 | 10.0 | 52.0(-42.0)#343 | 53.0(-43.0)#24,763 |
| 344. | 21756 | 10.0 | 52.0(-42.0)#344 | 53.0(-43.0)#24,789 |
| 345. | 21861 | 10.0 | 52.0(-42.0)#345 | 53.0(-43.0)#24,844 |
| 346. | 20905 | 9.0 | 52.0(-43.0)#346 | 53.0(-44.0)#24,870 |
| 347. | 21738 | 8.0 | 52.0(-44.0)#347 | 53.0(-45.0)#25,025 |
| 348. | 21140 | 7.0 | 52.0(-45.0)#348 | 53.0(-46.0)#25,113 |
| 349. | 20769 | 5.0 | 52.0(-47.0)#349 | 53.0(-48.0)#25,255 |
| 350. | 21651 | 4.0 | 52.0(-48.0)#350 | 53.0(-49.0)#25,350 |