Italian Female Poverty

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Female Poverty
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Italian Female Poverty
Exceptional

11.6%
POVERTY | FEMALES
99.7/ 100
METRIC RATING
21st/ 347
METRIC RANK

Italian Female Poverty Correlation Chart

The statistical analysis conducted on geographies consisting of 573,632,055 people shows a mild positive correlation between the proportion of Italians and poverty level among females in the United States with a correlation coefficient (R) of 0.393 and weighted average of 11.6%. On average, for every 1% (one percent) increase in Italians within a typical geography, there is an increase of 0.28% in poverty level among females.
Italian Female Poverty
It is essential to understand that the correlation between the percentage of Italians and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Italians influences an upward or downward trend in the level of poverty level among females within an area, or if Italians simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.

Demographics Similar to Italians by Female Poverty

In terms of female poverty, the demographic groups most similar to Italians are Swedish (11.6%, a difference of 0.030%), Burmese (11.6%, a difference of 0.17%), Luxembourger (11.6%, a difference of 0.19%), Immigrants from Northern Europe (11.6%, a difference of 0.45%), and Croatian (11.6%, a difference of 0.46%).
DemographicsRating | RankFemale Poverty
Lithuanians
99.8
/100
|
#14
Exceptional
11.4%
Latvians
99.8
/100
|
#15
Exceptional
11.4%
Immigrants from Bolivia
99.8
/100
|
#16
Exceptional
11.5%
Bolivians
99.8
/100
|
#17
Exceptional
11.5%
Immigrants from Scotland
99.8
/100
|
#18
Exceptional
11.5%
Norwegians
99.8
/100
|
#19
Exceptional
11.5%
Eastern Europeans
99.7
/100
|
#20
Exceptional
11.5%
Italians
99.7
/100
|
#21
Exceptional
11.6%
Swedes
99.7
/100
|
#22
Exceptional
11.6%
Burmese
99.7
/100
|
#23
Exceptional
11.6%
Luxembourgers
99.7
/100
|
#24
Exceptional
11.6%
Immigrants from Northern Europe
99.6
/100
|
#25
Exceptional
11.6%
Croatians
99.6
/100
|
#26
Exceptional
11.6%
Iranians
99.6
/100
|
#27
Exceptional
11.7%
Immigrants from Korea
99.6
/100
|
#28
Exceptional
11.7%

Italian Female Poverty Correlation Summary

Measurement Italian Data Female Poverty Data
Minimum 0.27% 1.3%
Maximum 100.0% 100.0%
Range 99.7% 98.7%
Mean 29.2% 11.8%
Median 27.5% 8.5%
Interquartile 25% (IQ1) 13.8% 6.3%
Interquartile 75% (IQ3) 41.4% 11.4%
Interquartile Range (IQR) 27.6% 5.1%
Standard Deviation (Sample) 19.6% 14.1%
Standard Deviation (Population) 19.5% 14.0%

Correlation Details

Italian Percentile Sample Size Female Poverty
[
0.0%
-
0.5%
]
0.27%
28,795,716 24.4%
[
0.5%
-
1.0%
]
0.77%
38,035,692 19.3%
[
1.0%
-
1.5%
]
1.26%
41,840,115 17.0%
[
1.5%
-
2.0%
]
1.74%
50,020,732 16.5%
[
2.0%
-
2.5%
]
2.25%
45,147,434 14.8%
[
2.5%
-
3.0%
]
2.74%
49,258,372 14.4%
[
3.0%
-
3.5%
]
3.25%
40,206,466 13.6%
[
3.5%
-
4.0%
]
3.76%
39,519,275 13.9%
[
4.0%
-
4.5%
]
4.25%
30,514,258 12.4%
[
4.5%
-
5.0%
]
4.73%
25,261,350 12.2%
[
5.0%
-
5.5%
]
5.25%
21,890,946 11.4%
[
5.5%
-
6.0%
]
5.79%
26,083,399 13.8%
[
6.0%
-
6.5%
]
6.24%
14,834,226 11.4%
[
6.5%
-
7.0%
]
6.75%
14,950,293 11.8%
[
7.0%
-
7.5%
]
7.23%
11,421,759 11.4%
[
7.5%
-
8.0%
]
7.74%
7,746,240 10.4%
[
8.0%
-
8.5%
]
8.25%
7,603,483 10.1%
[
8.5%
-
9.0%
]
8.73%
6,834,988 11.3%
[
9.0%
-
9.5%
]
9.23%
5,833,008 11.0%
[
9.5%
-
10.0%
]
9.75%
4,649,327 12.7%
[
10.0%
-
10.5%
]
10.25%
5,303,849 12.7%
[
10.5%
-
11.0%
]
10.77%
4,311,314 10.4%
[
11.0%
-
11.5%
]
11.27%
3,472,829 10.1%
[
11.5%
-
12.0%
]
11.75%
4,069,675 11.3%
[
12.0%
-
12.5%
]
12.23%
3,482,151 9.9%
[
12.5%
-
13.0%
]
12.74%
3,182,839 10.4%
[
13.0%
-
13.5%
]
13.23%
2,620,137 9.5%
[
13.5%
-
14.0%
]
13.76%
2,258,978 10.4%
[
14.0%
-
14.5%
]
14.26%
2,086,709 10.4%
[
14.5%
-
15.0%
]
14.74%
2,274,405 9.0%
[
15.0%
-
15.5%
]
15.24%
1,748,565 10.0%
[
15.5%
-
16.0%
]
15.77%
2,474,836 9.9%
[
16.0%
-
16.5%
]
16.25%
1,756,241 10.1%
[
16.5%
-
17.0%
]
16.74%
2,074,133 9.1%
[
17.0%
-
17.5%
]
17.25%
1,648,211 8.9%
[
17.5%
-
18.0%
]
17.76%
1,421,068 8.6%
[
18.0%
-
18.5%
]
18.24%
993,018 10.2%
[
18.5%
-
19.0%
]
18.74%
1,294,369 7.4%
[
19.0%
-
19.5%
]
19.22%
1,585,075 7.6%
[
19.5%
-
20.0%
]
19.77%
1,389,068 10.6%
[
20.0%
-
20.5%
]
20.25%
1,257,964 8.8%
[
20.5%
-
21.0%
]
20.76%
702,812 8.0%
[
21.0%
-
21.5%
]
21.17%
887,938 7.3%
[
21.5%
-
22.0%
]
21.73%
673,345 7.8%
[
22.0%
-
22.5%
]
22.27%
623,463 8.7%
[
22.5%
-
23.0%
]
22.73%
590,178 8.2%
[
23.0%
-
23.5%
]
23.22%
802,641 7.1%
[
23.5%
-
24.0%
]
23.79%
629,714 6.6%
[
24.0%
-
24.5%
]
24.19%
604,704 8.4%
[
24.5%
-
25.0%
]
24.78%
695,673 7.8%
[
25.0%
-
25.5%
]
25.24%
657,677 6.7%
[
25.5%
-
26.0%
]
25.77%
491,285 6.3%
[
26.0%
-
26.5%
]
26.25%
410,500 6.8%
[
26.5%
-
27.0%
]
26.73%
392,930 6.4%
[
27.0%
-
27.5%
]
27.23%
515,659 5.2%
[
27.5%
-
28.0%
]
27.75%
668,119 6.3%
[
28.0%
-
28.5%
]
28.21%
241,493 5.6%
[
28.5%
-
29.0%
]
28.75%
298,780 8.4%
[
29.0%
-
29.5%
]
29.24%
334,239 5.8%
[
29.5%
-
30.0%
]
29.70%
240,932 6.1%
[
30.0%
-
30.5%
]
30.25%
204,382 5.1%
[
30.5%
-
31.0%
]
30.76%
187,795 6.9%
[
31.0%
-
31.5%
]
31.41%
191,451 7.0%
[
31.5%
-
32.0%
]
31.74%
108,614 5.4%
[
32.0%
-
32.5%
]
32.33%
136,232 4.7%
[
32.5%
-
33.0%
]
32.72%
117,320 5.2%
[
33.0%
-
33.5%
]
33.35%
88,424 5.3%
[
33.5%
-
34.0%
]
33.77%
59,730 6.5%
[
34.0%
-
34.5%
]
34.22%
74,122 5.5%
[
34.5%
-
35.0%
]
34.87%
53,160 8.0%
[
35.0%
-
35.5%
]
35.21%
70,276 6.7%
[
35.5%
-
36.0%
]
35.73%
88,388 8.3%
[
36.0%
-
36.5%
]
36.16%
90,745 5.6%
[
36.5%
-
37.0%
]
36.74%
78,496 6.0%
[
37.0%
-
37.5%
]
37.42%
64,655 4.8%
[
37.5%
-
38.0%
]
37.62%
11,648 2.4%
[
38.0%
-
38.5%
]
38.28%
41,694 3.7%
[
38.5%
-
39.0%
]
38.69%
7,842 7.4%
[
39.0%
-
39.5%
]
39.21%
39,682 4.2%
[
39.5%
-
40.0%
]
39.69%
92,878 6.2%
[
40.0%
-
40.5%
]
40.34%
32,610 8.7%
[
40.5%
-
41.0%
]
40.72%
2,237 25.3%
[
41.0%
-
41.5%
]
41.38%
1,450 15.8%
[
41.5%
-
42.0%
]
41.70%
1,964 17.8%
[
42.5%
-
43.0%
]
42.64%
54,970 5.9%
[
43.0%
-
43.5%
]
43.36%
11,841 3.1%
[
43.5%
-
44.0%
]
43.72%
844 14.7%
[
44.0%
-
44.5%
]
44.41%
53,925 8.1%
[
44.5%
-
45.0%
]
44.98%
1,256 1.3%
[
45.0%
-
45.5%
]
45.14%
514 32.6%
[
45.5%
-
46.0%
]
45.70%
1,781 5.1%
[
46.0%
-
46.5%
]
46.49%
14,898 7.8%
[
46.5%
-
47.0%
]
46.62%
6,294 14.3%
[
47.0%
-
47.5%
]
47.31%
520 4.7%
[
47.5%
-
48.0%
]
47.81%
3,384 5.9%
[
49.0%
-
49.5%
]
49.30%
927 7.0%
[
49.5%
-
50.0%
]
49.85%
680 9.0%
[
50.0%
-
50.5%
]
50.41%
246 20.5%
[
50.5%
-
51.0%
]
50.61%
164 7.9%
[
51.5%
-
52.0%
]
51.77%
537 6.5%
[
52.0%
-
52.5%
]
52.16%
8,114 5.4%
[
53.0%
-
53.5%
]
53.17%
7,723 11.8%
[
55.0%
-
55.5%
]
55.42%
1,476 9.4%
[
56.5%
-
57.0%
]
56.67%
60 5.3%
[
63.0%
-
63.5%
]
63.04%
92 74.4%
[
75.0%
-
75.5%
]
75.45%
220 5.5%
[
76.5%
-
77.0%
]
76.92%
234 5.5%
[
80.5%
-
81.0%
]
80.99%
605 39.1%
[
84.0%
-
84.5%
]
84.07%
226 90.3%
[
99.5%
-
100.0%
]
100.00%
134 100.0%