Italian Child Poverty Among Girls Under 16

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Child Poverty Among Girls Under 16
Income
Poverty
Unemployment
Labor Participation
Family Structure
Vehicle Availability
Education Level
Disability

Italian Child Poverty Among Girls Under 16
Exceptional

14.3%
POVERTY | GIRLS < 16
99.1/ 100
METRIC RATING
52nd/ 347
METRIC RANK

Italian Child Poverty Among Girls Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 551,674,054 people shows a substantial positive correlation between the proportion of Italians and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.513 and weighted average of 14.3%. On average, for every 1% (one percent) increase in Italians within a typical geography, there is an increase of 0.47% in poverty level among girls under the age of 16.
Italian Child Poverty Among Girls Under 16
It is essential to understand that the correlation between the percentage of Italians and poverty level among girls under the age of 16 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 girls under the age of 16 within an area, or if Italians simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.

Demographics Similar to Italians by Child Poverty Among Girls Under 16

In terms of child poverty among girls under 16, the demographic groups most similar to Italians are Luxembourger (14.3%, a difference of 0.070%), Immigrants from Pakistan (14.2%, a difference of 0.14%), Estonian (14.3%, a difference of 0.50%), Immigrants from Romania (14.3%, a difference of 0.54%), and Immigrants from Indonesia (14.4%, a difference of 0.61%).
DemographicsRating | RankChild Poverty Among Girls Under 16
Immigrants from Greece
99.3
/100
|
#45
Exceptional
14.1%
Croatians
99.3
/100
|
#46
Exceptional
14.1%
Immigrants from Czechoslovakia
99.3
/100
|
#47
Exceptional
14.2%
Czechs
99.3
/100
|
#48
Exceptional
14.2%
Greeks
99.2
/100
|
#49
Exceptional
14.2%
Immigrants from Israel
99.2
/100
|
#50
Exceptional
14.2%
Immigrants from Pakistan
99.1
/100
|
#51
Exceptional
14.2%
Italians
99.1
/100
|
#52
Exceptional
14.3%
Luxembourgers
99.0
/100
|
#53
Exceptional
14.3%
Estonians
98.9
/100
|
#54
Exceptional
14.3%
Immigrants from Romania
98.9
/100
|
#55
Exceptional
14.3%
Immigrants from Indonesia
98.9
/100
|
#56
Exceptional
14.4%
Immigrants from Serbia
98.9
/100
|
#57
Exceptional
14.4%
Immigrants from Bulgaria
98.8
/100
|
#58
Exceptional
14.4%
Zimbabweans
98.8
/100
|
#59
Exceptional
14.4%

Italian Child Poverty Among Girls Under 16 Correlation Summary

Measurement Italian Data Child Poverty Among Girls Under 16 Data
Minimum 0.27% 2.0%
Maximum 100.0% 100.0%
Range 99.7% 98.0%
Mean 25.4% 14.4%
Median 23.5% 10.7%
Interquartile 25% (IQ1) 11.8% 7.9%
Interquartile 75% (IQ3) 35.2% 14.0%
Interquartile Range (IQR) 23.5% 6.1%
Standard Deviation (Sample) 18.3% 16.8%
Standard Deviation (Population) 18.2% 16.7%

Correlation Details

Italian Percentile Sample Size Child Poverty Among Girls Under 16
[
0.0%
-
0.5%
]
0.27%
28,145,001 32.7%
[
0.5%
-
1.0%
]
0.77%
36,974,774 25.5%
[
1.0%
-
1.5%
]
1.26%
40,872,684 22.2%
[
1.5%
-
2.0%
]
1.74%
49,156,186 21.3%
[
2.0%
-
2.5%
]
2.25%
44,146,325 18.6%
[
2.5%
-
3.0%
]
2.74%
48,279,150 18.0%
[
3.0%
-
3.5%
]
3.25%
39,167,647 16.3%
[
3.5%
-
4.0%
]
3.76%
38,673,342 16.9%
[
4.0%
-
4.5%
]
4.25%
29,450,779 14.5%
[
4.5%
-
5.0%
]
4.73%
24,406,438 13.6%
[
5.0%
-
5.5%
]
5.25%
21,064,866 13.1%
[
5.5%
-
6.0%
]
5.79%
25,335,915 16.2%
[
6.0%
-
6.5%
]
6.24%
14,125,513 13.7%
[
6.5%
-
7.0%
]
6.75%
14,264,168 14.5%
[
7.0%
-
7.5%
]
7.23%
10,812,473 13.7%
[
7.5%
-
8.0%
]
7.74%
7,290,357 12.4%
[
8.0%
-
8.5%
]
8.25%
7,087,297 11.4%
[
8.5%
-
9.0%
]
8.73%
6,326,026 13.2%
[
9.0%
-
9.5%
]
9.23%
5,468,292 14.0%
[
9.5%
-
10.0%
]
9.75%
4,300,451 16.3%
[
10.0%
-
10.5%
]
10.25%
4,936,217 16.1%
[
10.5%
-
11.0%
]
10.78%
3,894,647 12.7%
[
11.0%
-
11.5%
]
11.27%
3,125,637 12.8%
[
11.5%
-
12.0%
]
11.75%
3,689,279 14.2%
[
12.0%
-
12.5%
]
12.23%
3,201,576 12.0%
[
12.5%
-
13.0%
]
12.75%
2,914,145 13.3%
[
13.0%
-
13.5%
]
13.23%
2,420,529 11.5%
[
13.5%
-
14.0%
]
13.76%
2,089,098 13.9%
[
14.0%
-
14.5%
]
14.25%
1,866,297 12.8%
[
14.5%
-
15.0%
]
14.74%
2,089,421 10.4%
[
15.0%
-
15.5%
]
15.23%
1,502,345 13.2%
[
15.5%
-
16.0%
]
15.77%
2,232,169 12.3%
[
16.0%
-
16.5%
]
16.25%
1,590,518 13.6%
[
16.5%
-
17.0%
]
16.74%
1,894,107 11.3%
[
17.0%
-
17.5%
]
17.26%
1,436,887 10.5%
[
17.5%
-
18.0%
]
17.76%
1,253,787 10.8%
[
18.0%
-
18.5%
]
18.23%
885,152 12.6%
[
18.5%
-
19.0%
]
18.74%
1,119,321 8.8%
[
19.0%
-
19.5%
]
19.22%
1,348,417 9.3%
[
19.5%
-
20.0%
]
19.76%
1,214,278 13.7%
[
20.0%
-
20.5%
]
20.25%
1,165,544 10.4%
[
20.5%
-
21.0%
]
20.76%
565,798 10.5%
[
21.0%
-
21.5%
]
21.16%
713,549 9.2%
[
21.5%
-
22.0%
]
21.72%
560,660 9.5%
[
22.0%
-
22.5%
]
22.27%
557,716 9.5%
[
22.5%
-
23.0%
]
22.72%
503,460 9.0%
[
23.0%
-
23.5%
]
23.22%
714,880 7.9%
[
23.5%
-
24.0%
]
23.81%
503,962 8.9%
[
24.0%
-
24.5%
]
24.18%
548,161 12.8%
[
24.5%
-
25.0%
]
24.78%
612,196 8.8%
[
25.0%
-
25.5%
]
25.24%
538,025 8.6%
[
25.5%
-
26.0%
]
25.76%
440,225 8.4%
[
26.0%
-
26.5%
]
26.24%
311,816 6.4%
[
26.5%
-
27.0%
]
26.73%
357,114 8.3%
[
27.0%
-
27.5%
]
27.22%
478,317 5.5%
[
27.5%
-
28.0%
]
27.75%
574,595 5.4%
[
28.0%
-
28.5%
]
28.21%
194,315 7.1%
[
28.5%
-
29.0%
]
28.75%
266,001 10.1%
[
29.0%
-
29.5%
]
29.24%
241,317 7.6%
[
29.5%
-
30.0%
]
29.67%
175,835 8.6%
[
30.0%
-
30.5%
]
30.27%
112,046 6.5%
[
30.5%
-
31.0%
]
30.75%
176,547 9.0%
[
31.0%
-
31.5%
]
31.42%
176,670 8.8%
[
31.5%
-
32.0%
]
31.75%
70,337 5.5%
[
32.0%
-
32.5%
]
32.32%
117,634 4.3%
[
32.5%
-
33.0%
]
32.70%
85,496 6.7%
[
33.0%
-
33.5%
]
33.38%
72,737 5.4%
[
33.5%
-
34.0%
]
33.78%
38,317 8.5%
[
34.0%
-
34.5%
]
34.21%
60,216 6.8%
[
34.5%
-
35.0%
]
34.90%
25,419 13.9%
[
35.0%
-
35.5%
]
35.21%
64,164 4.6%
[
35.5%
-
36.0%
]
35.74%
85,909 9.4%
[
36.0%
-
36.5%
]
36.16%
72,152 2.0%
[
36.5%
-
37.0%
]
36.74%
72,993 5.4%
[
37.0%
-
37.5%
]
37.43%
57,333 3.0%
[
38.0%
-
38.5%
]
38.26%
22,440 5.4%
[
38.5%
-
39.0%
]
38.92%
1,205 17.4%
[
39.0%
-
39.5%
]
39.21%
27,178 3.2%
[
39.5%
-
40.0%
]
39.70%
87,652 8.1%
[
40.0%
-
40.5%
]
40.34%
30,308 16.6%
[
41.0%
-
41.5%
]
41.39%
1,353 25.0%
[
41.5%
-
42.0%
]
41.53%
956 20.5%
[
42.5%
-
43.0%
]
42.64%
54,970 3.4%
[
43.0%
-
43.5%
]
43.38%
11,102 2.2%
[
43.5%
-
44.0%
]
43.72%
844 23.9%
[
44.0%
-
44.5%
]
44.41%
52,938 4.9%
[
46.0%
-
46.5%
]
46.49%
14,755 5.9%
[
46.5%
-
47.0%
]
46.77%
2,367 6.8%
[
49.5%
-
50.0%
]
49.85%
680 10.5%
[
51.5%
-
52.0%
]
51.82%
384 3.9%
[
55.0%
-
55.5%
]
55.42%
1,476 36.9%
[
84.0%
-
84.5%
]
84.07%
226 100.0%
[
90.5%
-
91.0%
]
90.76%
119 100.0%
[
99.5%
-
100.0%
]
100.00%
134 100.0%