Cuban Child Poverty Among Boys Under 16

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

Cuban Child Poverty Among Boys Under 16
Tragic

17.9%
POVERTY | BOYS < 16
3.8/ 100
METRIC RATING
223rd/ 347
METRIC RANK

Cuban Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 441,055,508 people shows a poor negative correlation between the proportion of Cubans and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of -0.200 and weighted average of 17.9%. On average, for every 1% (one percent) increase in Cubans within a typical geography, there is a decrease of 0.069% in poverty level among boys under the age of 16.
Cuban Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Cubans and poverty level among boys under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Cubans influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Cubans simply ended up residing in those areas with higher or lower levels of poverty level among boys under the age of 16 due to other factors.

Demographics Similar to Cubans by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Cubans are Pennsylvania German (17.9%, a difference of 0.090%), Immigrants from Panama (17.9%, a difference of 0.32%), Nepalese (18.0%, a difference of 0.47%), Immigrants from Cambodia (17.8%, a difference of 0.79%), and Inupiat (18.1%, a difference of 0.89%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Moroccans
5.6
/100
|
#216
Tragic
17.7%
Japanese
5.5
/100
|
#217
Tragic
17.7%
Iraqis
5.5
/100
|
#218
Tragic
17.7%
Sierra Leoneans
5.3
/100
|
#219
Tragic
17.8%
Immigrants from Cambodia
5.1
/100
|
#220
Tragic
17.8%
Immigrants from Panama
4.3
/100
|
#221
Tragic
17.9%
Pennsylvania Germans
3.9
/100
|
#222
Tragic
17.9%
Cubans
3.8
/100
|
#223
Tragic
17.9%
Nepalese
3.2
/100
|
#224
Tragic
18.0%
Inupiat
2.7
/100
|
#225
Tragic
18.1%
Immigrants from Africa
2.6
/100
|
#226
Tragic
18.1%
Bermudans
2.5
/100
|
#227
Tragic
18.1%
Nonimmigrants
2.2
/100
|
#228
Tragic
18.2%
Immigrants from Micronesia
1.8
/100
|
#229
Tragic
18.3%
Fijians
1.8
/100
|
#230
Tragic
18.3%

Cuban Child Poverty Among Boys Under 16 Correlation Summary

Measurement Cuban Data Child Poverty Among Boys Under 16 Data
Minimum 0.21% 2.3%
Maximum 81.9% 50.0%
Range 81.6% 47.7%
Mean 31.7% 18.1%
Median 27.4% 17.6%
Interquartile 25% (IQ1) 13.0% 13.2%
Interquartile 75% (IQ3) 47.3% 21.9%
Interquartile Range (IQR) 34.3% 8.7%
Standard Deviation (Sample) 22.3% 7.7%
Standard Deviation (Population) 22.2% 7.7%

Correlation Details

Cuban Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.21%
329,102,440 17.6%
[
0.5%
-
1.0%
]
0.69%
58,711,009 17.3%
[
1.0%
-
1.5%
]
1.21%
16,129,316 17.7%
[
1.5%
-
2.0%
]
1.70%
9,523,698 18.6%
[
2.0%
-
2.5%
]
2.24%
5,449,014 17.3%
[
2.5%
-
3.0%
]
2.73%
4,640,210 17.7%
[
3.0%
-
3.5%
]
3.24%
2,256,441 18.4%
[
3.5%
-
4.0%
]
3.73%
1,817,543 17.5%
[
4.0%
-
4.5%
]
4.22%
1,121,210 17.2%
[
4.5%
-
5.0%
]
4.71%
817,605 18.3%
[
5.0%
-
5.5%
]
5.27%
832,812 21.0%
[
5.5%
-
6.0%
]
5.70%
719,355 16.0%
[
6.0%
-
6.5%
]
6.28%
505,742 21.5%
[
6.5%
-
7.0%
]
6.78%
345,023 24.2%
[
7.0%
-
7.5%
]
7.32%
456,815 19.8%
[
7.5%
-
8.0%
]
7.75%
855,467 21.6%
[
8.0%
-
8.5%
]
8.34%
343,696 20.6%
[
8.5%
-
9.0%
]
8.85%
326,802 17.7%
[
9.0%
-
9.5%
]
9.28%
226,827 19.7%
[
9.5%
-
10.0%
]
9.71%
127,186 23.2%
[
10.0%
-
10.5%
]
10.11%
276,375 17.6%
[
10.5%
-
11.0%
]
10.76%
165,597 12.6%
[
11.0%
-
11.5%
]
11.25%
191,627 20.8%
[
11.5%
-
12.0%
]
11.82%
83,820 15.9%
[
12.0%
-
12.5%
]
12.15%
188,832 15.9%
[
12.5%
-
13.0%
]
12.79%
139,261 16.2%
[
13.0%
-
13.5%
]
13.25%
253,159 15.9%
[
13.5%
-
14.0%
]
13.75%
142,462 25.4%
[
14.0%
-
14.5%
]
14.07%
32,110 10.7%
[
14.5%
-
15.0%
]
14.62%
100,449 21.1%
[
15.0%
-
15.5%
]
15.14%
354,114 15.7%
[
15.5%
-
16.0%
]
15.67%
7,385 27.9%
[
16.0%
-
16.5%
]
16.37%
55,764 25.9%
[
16.5%
-
17.0%
]
16.65%
17,817 45.9%
[
17.0%
-
17.5%
]
17.12%
142,560 22.7%
[
17.5%
-
18.0%
]
17.73%
84,471 10.5%
[
18.0%
-
18.5%
]
18.15%
180,995 22.1%
[
18.5%
-
19.0%
]
18.94%
74,371 17.2%
[
19.0%
-
19.5%
]
19.48%
13,265 2.3%
[
19.5%
-
20.0%
]
19.81%
96,654 13.8%
[
20.0%
-
20.5%
]
20.27%
80,415 24.2%
[
20.5%
-
21.0%
]
20.86%
124,371 19.6%
[
21.0%
-
21.5%
]
21.40%
53,076 8.2%
[
21.5%
-
22.0%
]
21.70%
40,853 20.3%
[
22.0%
-
22.5%
]
22.05%
77,008 31.7%
[
23.5%
-
24.0%
]
23.67%
47,383 38.2%
[
24.0%
-
24.5%
]
24.19%
62 50.0%
[
24.5%
-
25.0%
]
24.54%
10,520 15.0%
[
25.0%
-
25.5%
]
25.25%
123,956 16.4%
[
25.5%
-
26.0%
]
25.70%
124,685 18.1%
[
26.0%
-
26.5%
]
26.23%
33,851 30.3%
[
26.5%
-
27.0%
]
26.84%
56,068 25.5%
[
27.5%
-
28.0%
]
27.92%
15,184 14.0%
[
28.0%
-
28.5%
]
28.15%
96,294 23.0%
[
28.5%
-
29.0%
]
28.65%
81,384 7.3%
[
29.0%
-
29.5%
]
29.11%
35,969 17.1%
[
29.5%
-
30.0%
]
29.72%
44,956 9.2%
[
30.5%
-
31.0%
]
30.57%
69,152 19.2%
[
31.5%
-
32.0%
]
31.84%
112,692 16.0%
[
32.0%
-
32.5%
]
32.04%
497,852 25.2%
[
32.5%
-
33.0%
]
32.78%
150,531 17.6%
[
33.5%
-
34.0%
]
33.61%
81,319 13.1%
[
34.0%
-
34.5%
]
34.13%
46,844 14.5%
[
34.5%
-
35.0%
]
34.64%
78,402 12.6%
[
35.0%
-
35.5%
]
35.19%
147,444 12.2%
[
35.5%
-
36.0%
]
35.76%
17,902 20.6%
[
36.0%
-
36.5%
]
36.37%
23,094 11.5%
[
37.5%
-
38.0%
]
37.56%
26,994 14.7%
[
40.0%
-
40.5%
]
40.39%
40,278 9.3%
[
42.0%
-
42.5%
]
42.36%
88,933 16.1%
[
42.5%
-
43.0%
]
42.99%
29,240 15.6%
[
43.0%
-
43.5%
]
43.35%
76,412 11.7%
[
43.5%
-
44.0%
]
43.83%
105,481 21.2%
[
44.0%
-
44.5%
]
44.15%
56,791 21.9%
[
44.5%
-
45.0%
]
44.71%
37,977 22.3%
[
45.0%
-
45.5%
]
45.18%
35,705 23.1%
[
45.5%
-
46.0%
]
45.68%
68,602 23.0%
[
46.0%
-
46.5%
]
46.05%
33,026 8.1%
[
48.5%
-
49.0%
]
48.64%
81,858 22.9%
[
50.5%
-
51.0%
]
50.74%
3,400 36.7%
[
51.5%
-
52.0%
]
51.73%
34,335 20.3%
[
52.5%
-
53.0%
]
52.97%
29,530 6.2%
[
53.5%
-
54.0%
]
53.91%
42,710 16.5%
[
54.5%
-
55.0%
]
54.83%
34,057 9.8%
[
55.0%
-
55.5%
]
55.44%
19,399 23.8%
[
56.5%
-
57.0%
]
56.95%
52,661 10.9%
[
58.0%
-
58.5%
]
58.48%
43,702 11.2%
[
60.5%
-
61.0%
]
60.80%
52,101 24.6%
[
61.5%
-
62.0%
]
61.83%
30,621 3.1%
[
62.0%
-
62.5%
]
62.37%
13,877 3.9%
[
62.5%
-
63.0%
]
62.57%
55,241 12.2%
[
63.5%
-
64.0%
]
63.81%
52,851 9.1%
[
64.0%
-
64.5%
]
64.40%
53,765 8.0%
[
64.5%
-
65.0%
]
64.80%
24,597 20.8%
[
67.0%
-
67.5%
]
67.07%
45,620 17.5%
[
67.5%
-
68.0%
]
67.76%
104,796 13.3%
[
68.0%
-
68.5%
]
68.14%
10,725 5.9%
[
69.0%
-
69.5%
]
69.21%
21,076 8.6%
[
70.0%
-
70.5%
]
70.48%
53,065 12.1%
[
70.5%
-
71.0%
]
70.69%
22,815 14.1%
[
75.0%
-
75.5%
]
75.16%
249,702 20.2%
[
79.0%
-
79.5%
]
79.36%
42,081 24.5%
[
80.0%
-
80.5%
]
80.06%
71,088 24.6%
[
81.5%
-
82.0%
]
81.85%
29,830 21.9%