Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine are:
#1
4.0
#2
5.0
#3
7.0
#4
8.0
#5
8.0
#6
11.0
#7
12.0
#8
12.0
#9
13.0
#10
13.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Maine?
04676 has the Fewest Births per 1,000 Women Below Poverty Level in Maine with 4.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Maine?
Number of Births per 1,000 Women Below Poverty Level in Maine is 51.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.

Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine

40.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine Chart
Zip Code Births / 1,000 Women vs State vs National
1.046764.051.0(-47.0)#153.0(-49.0)#138
2.049375.051.0(-46.0)#253.0(-48.0)#167
3.043637.051.0(-44.0)#353.0(-46.0)#346
4.044738.051.0(-43.0)#453.0(-45.0)#396
5.049658.051.0(-43.0)#553.0(-45.0)#432
6.0390111.051.0(-40.0)#653.0(-42.0)#743
7.0407912.051.0(-39.0)#753.0(-41.0)#924
8.0429012.051.0(-39.0)#853.0(-41.0)#969
9.0478613.051.0(-38.0)#953.0(-40.0)#1,110
10.0404113.051.0(-38.0)#1053.0(-40.0)#1,112
11.0443413.051.0(-38.0)#1153.0(-40.0)#1,127
12.0435514.051.0(-37.0)#1253.0(-39.0)#1,255
13.0454714.051.0(-37.0)#1353.0(-39.0)#1,284
14.0486415.051.0(-36.0)#1453.0(-38.0)#1,389
15.0455515.051.0(-36.0)#1553.0(-38.0)#1,431
16.0446015.051.0(-36.0)#1653.0(-38.0)#1,443
17.0476015.051.0(-36.0)#1753.0(-38.0)#1,459
18.0467415.051.0(-36.0)#1853.0(-38.0)#1,479
19.0428016.051.0(-35.0)#1953.0(-37.0)#1,531
20.0422216.051.0(-35.0)#2053.0(-37.0)#1,552
21.0446316.051.0(-35.0)#2153.0(-37.0)#1,567
22.0474016.051.0(-35.0)#2253.0(-37.0)#1,604
23.0455616.051.0(-35.0)#2353.0(-37.0)#1,609
24.0410118.051.0(-33.0)#2453.0(-35.0)#1,846
25.0445718.051.0(-33.0)#2553.0(-35.0)#1,898
26.0492018.051.0(-33.0)#2653.0(-35.0)#1,965
27.0491218.051.0(-33.0)#2753.0(-35.0)#2,008
28.0408419.051.0(-32.0)#2853.0(-34.0)#2,112
29.0442919.051.0(-32.0)#2953.0(-34.0)#2,140
30.0434719.051.0(-32.0)#3053.0(-34.0)#2,177
31.0469419.051.0(-32.0)#3153.0(-34.0)#2,182
32.0406220.051.0(-31.0)#3253.0(-33.0)#2,290
33.0404220.051.0(-31.0)#3353.0(-33.0)#2,358
34.0403720.051.0(-31.0)#3453.0(-33.0)#2,371
35.0401521.051.0(-30.0)#3553.0(-32.0)#2,601
36.0447621.051.0(-30.0)#3653.0(-32.0)#2,654
37.0455121.051.0(-30.0)#3753.0(-32.0)#2,667
38.0442822.051.0(-29.0)#3853.0(-31.0)#2,809
39.0441422.051.0(-29.0)#3953.0(-31.0)#2,865
40.0434523.051.0(-28.0)#4053.0(-30.0)#2,975
41.0473023.051.0(-28.0)#4153.0(-30.0)#2,992
42.0491123.051.0(-28.0)#4253.0(-30.0)#3,087
43.0478123.051.0(-28.0)#4353.0(-30.0)#3,138
44.0447224.051.0(-27.0)#4453.0(-29.0)#3,341
45.0441124.051.0(-27.0)#4553.0(-29.0)#3,349
46.0442224.051.0(-27.0)#4653.0(-29.0)#3,364
47.0421624.051.0(-27.0)#4753.0(-29.0)#3,391
48.0400525.051.0(-26.0)#4853.0(-28.0)#3,455
49.0407325.051.0(-26.0)#4953.0(-28.0)#3,476
50.0406425.051.0(-26.0)#5053.0(-28.0)#3,522
51.0390526.051.0(-25.0)#5153.0(-27.0)#3,853
52.0478326.051.0(-25.0)#5253.0(-27.0)#3,910
53.0410627.051.0(-24.0)#5353.0(-26.0)#3,967
54.0484127.051.0(-24.0)#5453.0(-26.0)#4,050
55.0493027.051.0(-24.0)#5553.0(-26.0)#4,086
56.0435027.051.0(-24.0)#5653.0(-26.0)#4,095
57.0492127.051.0(-24.0)#5753.0(-26.0)#4,133
58.0485427.051.0(-24.0)#5853.0(-26.0)#4,142
59.0468527.051.0(-24.0)#5953.0(-26.0)#4,185
60.0403928.051.0(-23.0)#6053.0(-25.0)#4,316
61.0465428.051.0(-23.0)#6153.0(-25.0)#4,361
62.0404028.051.0(-23.0)#6253.0(-25.0)#4,372
63.0491028.051.0(-23.0)#6353.0(-25.0)#4,390
64.0462628.051.0(-23.0)#6453.0(-25.0)#4,461
65.0407429.051.0(-22.0)#6553.0(-24.0)#4,536
66.0404629.051.0(-22.0)#6653.0(-24.0)#4,620
67.0426829.051.0(-22.0)#6753.0(-24.0)#4,662
68.0484729.051.0(-22.0)#6853.0(-24.0)#4,736
69.0447129.051.0(-22.0)#6953.0(-24.0)#4,784
70.0409230.051.0(-21.0)#7053.0(-23.0)#4,868
71.0446230.051.0(-21.0)#7153.0(-23.0)#4,974
72.0409331.051.0(-20.0)#7253.0(-22.0)#5,220
73.0445631.051.0(-20.0)#7353.0(-22.0)#5,288
74.0454331.051.0(-20.0)#7453.0(-22.0)#5,304
75.0476231.051.0(-20.0)#7553.0(-22.0)#5,371
76.0408632.051.0(-19.0)#7653.0(-21.0)#5,510
77.0498932.051.0(-19.0)#7753.0(-21.0)#5,564
78.0463432.051.0(-19.0)#7853.0(-21.0)#5,601
79.0449332.051.0(-19.0)#7953.0(-21.0)#5,606
80.0426033.051.0(-18.0)#8053.0(-20.0)#5,852
81.0442633.051.0(-18.0)#8153.0(-20.0)#5,862
82.0441933.051.0(-18.0)#8253.0(-20.0)#5,895
83.0425833.051.0(-18.0)#8353.0(-20.0)#5,896
84.0498333.051.0(-18.0)#8453.0(-20.0)#5,927
85.0492834.051.0(-17.0)#8553.0(-19.0)#6,222
86.0497134.051.0(-17.0)#8653.0(-19.0)#6,226
87.0402034.051.0(-17.0)#8753.0(-19.0)#6,231
88.0444134.051.0(-17.0)#8853.0(-19.0)#6,234
89.0497034.051.0(-17.0)#8953.0(-19.0)#6,236
90.0466734.051.0(-17.0)#9053.0(-19.0)#6,243
91.0408834.051.0(-17.0)#9153.0(-19.0)#6,250
92.0478034.051.0(-17.0)#9253.0(-19.0)#6,266
93.0422035.051.0(-16.0)#9353.0(-18.0)#6,513
94.0497435.051.0(-16.0)#9453.0(-18.0)#6,528
95.0434235.051.0(-16.0)#9553.0(-18.0)#6,544
96.0477635.051.0(-16.0)#9653.0(-18.0)#6,572
97.0495136.051.0(-15.0)#9753.0(-17.0)#6,898
98.0460737.051.0(-14.0)#9853.0(-16.0)#7,216
99.0444937.051.0(-14.0)#9953.0(-16.0)#7,220
100.0423938.051.0(-13.0)#10053.0(-15.0)#7,488