Norwegian 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

Norwegian Child Poverty Among Boys Under 16
Exceptional

13.2%
POVERTY | BOYS < 16
99.9/ 100
METRIC RATING
17th/ 347
METRIC RANK

Norwegian Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 516,210,620 people shows a mild positive correlation between the proportion of Norwegians and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.336 and weighted average of 13.2%. On average, for every 1% (one percent) increase in Norwegians within a typical geography, there is an increase of 0.18% in poverty level among boys under the age of 16.
Norwegian Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Norwegians 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 Norwegians influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Norwegians 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 Norwegians by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Norwegians are Maltese (13.2%, a difference of 0.090%), Immigrants from Japan (13.1%, a difference of 0.41%), Immigrants from Ireland (13.1%, a difference of 0.51%), Bulgarian (13.3%, a difference of 0.53%), and Bolivian (13.3%, a difference of 0.59%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Bhutanese
100.0
/100
|
#10
Exceptional
12.6%
Immigrants from South Central Asia
100.0
/100
|
#11
Exceptional
12.7%
Burmese
99.9
/100
|
#12
Exceptional
13.0%
Immigrants from Korea
99.9
/100
|
#13
Exceptional
13.0%
Immigrants from Ireland
99.9
/100
|
#14
Exceptional
13.1%
Immigrants from Japan
99.9
/100
|
#15
Exceptional
13.1%
Maltese
99.9
/100
|
#16
Exceptional
13.2%
Norwegians
99.9
/100
|
#17
Exceptional
13.2%
Bulgarians
99.9
/100
|
#18
Exceptional
13.3%
Bolivians
99.9
/100
|
#19
Exceptional
13.3%
Indians (Asian)
99.9
/100
|
#20
Exceptional
13.3%
Immigrants from Eastern Asia
99.9
/100
|
#21
Exceptional
13.3%
Tongans
99.9
/100
|
#22
Exceptional
13.4%
Latvians
99.9
/100
|
#23
Exceptional
13.4%
Immigrants from Lithuania
99.8
/100
|
#24
Exceptional
13.5%

Norwegian Child Poverty Among Boys Under 16 Correlation Summary

Measurement Norwegian Data Child Poverty Among Boys Under 16 Data
Minimum 0.25% 1.6%
Maximum 72.0% 70.0%
Range 71.8% 68.4%
Mean 30.2% 14.7%
Median 29.7% 12.6%
Interquartile 25% (IQ1) 14.7% 10.6%
Interquartile 75% (IQ3) 44.9% 15.6%
Interquartile Range (IQR) 30.2% 4.9%
Standard Deviation (Sample) 18.1% 9.8%
Standard Deviation (Population) 18.0% 9.7%

Correlation Details

Norwegian Percentile Sample Size Child Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.25%
233,054,802 21.2%
[
0.5%
-
1.0%
]
0.71%
130,872,318 14.9%
[
1.0%
-
1.5%
]
1.22%
48,899,017 12.9%
[
1.5%
-
2.0%
]
1.73%
27,592,140 12.1%
[
2.0%
-
2.5%
]
2.24%
17,514,536 11.0%
[
2.5%
-
3.0%
]
2.74%
10,933,358 12.1%
[
3.0%
-
3.5%
]
3.25%
8,053,842 13.9%
[
3.5%
-
4.0%
]
3.77%
7,014,491 12.1%
[
4.0%
-
4.5%
]
4.24%
4,764,036 13.1%
[
4.5%
-
5.0%
]
4.73%
3,410,549 12.4%
[
5.0%
-
5.5%
]
5.24%
2,096,033 12.4%
[
5.5%
-
6.0%
]
5.77%
2,068,211 11.5%
[
6.0%
-
6.5%
]
6.29%
1,744,249 13.1%
[
6.5%
-
7.0%
]
6.80%
1,614,020 16.1%
[
7.0%
-
7.5%
]
7.29%
998,100 12.4%
[
7.5%
-
8.0%
]
7.72%
1,046,403 13.8%
[
8.0%
-
8.5%
]
8.24%
622,802 12.5%
[
8.5%
-
9.0%
]
8.80%
620,205 11.8%
[
9.0%
-
9.5%
]
9.24%
953,944 17.3%
[
9.5%
-
10.0%
]
9.75%
887,180 13.2%
[
10.0%
-
10.5%
]
10.27%
590,473 11.3%
[
10.5%
-
11.0%
]
10.75%
950,280 9.7%
[
11.0%
-
11.5%
]
11.23%
946,051 10.9%
[
11.5%
-
12.0%
]
11.75%
1,006,425 10.9%
[
12.0%
-
12.5%
]
12.27%
1,050,763 9.0%
[
12.5%
-
13.0%
]
12.74%
590,841 8.6%
[
13.0%
-
13.5%
]
13.22%
773,413 8.3%
[
13.5%
-
14.0%
]
13.71%
547,375 11.1%
[
14.0%
-
14.5%
]
14.27%
499,502 8.8%
[
14.5%
-
15.0%
]
14.74%
481,893 7.7%
[
15.0%
-
15.5%
]
15.24%
409,817 8.5%
[
15.5%
-
16.0%
]
15.75%
382,437 11.3%
[
16.0%
-
16.5%
]
16.22%
217,985 9.4%
[
16.5%
-
17.0%
]
16.72%
340,123 12.2%
[
17.0%
-
17.5%
]
17.19%
192,260 10.6%
[
17.5%
-
18.0%
]
17.79%
154,530 12.3%
[
18.0%
-
18.5%
]
18.26%
159,773 8.5%
[
18.5%
-
19.0%
]
18.75%
98,761 8.5%
[
19.0%
-
19.5%
]
19.23%
80,360 12.1%
[
19.5%
-
20.0%
]
19.75%
68,548 12.6%
[
20.0%
-
20.5%
]
20.24%
171,325 9.8%
[
20.5%
-
21.0%
]
20.73%
48,538 15.0%
[
21.0%
-
21.5%
]
21.24%
97,810 9.1%
[
21.5%
-
22.0%
]
21.75%
65,923 16.0%
[
22.0%
-
22.5%
]
22.35%
71,902 8.4%
[
22.5%
-
23.0%
]
22.82%
75,438 11.1%
[
23.0%
-
23.5%
]
23.21%
39,196 15.2%
[
23.5%
-
24.0%
]
23.86%
82,456 15.1%
[
24.0%
-
24.5%
]
24.28%
22,009 15.9%
[
24.5%
-
25.0%
]
24.85%
48,514 10.8%
[
25.0%
-
25.5%
]
25.36%
45,039 14.1%
[
25.5%
-
26.0%
]
25.62%
205,103 12.6%
[
26.0%
-
26.5%
]
26.22%
130,441 12.9%
[
26.5%
-
27.0%
]
26.60%
43,109 11.8%
[
27.0%
-
27.5%
]
27.20%
148,111 15.6%
[
27.5%
-
28.0%
]
27.62%
60,082 11.9%
[
28.0%
-
28.5%
]
28.24%
18,591 11.5%
[
28.5%
-
29.0%
]
28.80%
96,151 10.2%
[
29.0%
-
29.5%
]
29.22%
43,147 12.3%
[
29.5%
-
30.0%
]
29.72%
30,235 8.8%
[
30.0%
-
30.5%
]
30.31%
28,444 13.9%
[
30.5%
-
31.0%
]
30.69%
10,507 14.9%
[
31.0%
-
31.5%
]
31.36%
15,310 7.3%
[
31.5%
-
32.0%
]
31.81%
12,854 12.1%
[
32.0%
-
32.5%
]
32.28%
9,273 14.2%
[
32.5%
-
33.0%
]
32.89%
27,884 17.0%
[
33.0%
-
33.5%
]
33.26%
29,684 10.8%
[
33.5%
-
34.0%
]
33.76%
3,427 24.3%
[
34.0%
-
34.5%
]
34.16%
16,810 13.3%
[
34.5%
-
35.0%
]
34.64%
7,861 16.0%
[
35.0%
-
35.5%
]
35.27%
18,399 14.6%
[
35.5%
-
36.0%
]
35.75%
15,886 8.9%
[
36.0%
-
36.5%
]
36.11%
34,183 10.6%
[
36.5%
-
37.0%
]
36.77%
12,931 18.8%
[
37.0%
-
37.5%
]
37.19%
5,829 11.1%
[
37.5%
-
38.0%
]
37.70%
9,504 20.3%
[
38.0%
-
38.5%
]
38.16%
5,899 14.8%
[
38.5%
-
39.0%
]
38.72%
8,882 15.8%
[
39.0%
-
39.5%
]
39.17%
3,909 20.9%
[
39.5%
-
40.0%
]
39.73%
3,436 15.5%
[
40.0%
-
40.5%
]
40.22%
2,854 18.8%
[
40.5%
-
41.0%
]
40.62%
8,255 14.9%
[
41.0%
-
41.5%
]
41.18%
5,649 13.6%
[
41.5%
-
42.0%
]
41.70%
4,264 14.5%
[
42.0%
-
42.5%
]
42.41%
7,887 13.7%
[
42.5%
-
43.0%
]
42.74%
6,572 7.4%
[
43.0%
-
43.5%
]
43.20%
2,780 16.7%
[
43.5%
-
44.0%
]
43.78%
1,777 20.4%
[
44.0%
-
44.5%
]
44.40%
1,358 14.1%
[
44.5%
-
45.0%
]
44.91%
3,821 6.1%
[
45.0%
-
45.5%
]
45.38%
2,717 13.9%
[
45.5%
-
46.0%
]
45.84%
5,048 17.8%
[
46.0%
-
46.5%
]
46.30%
2,028 14.9%
[
46.5%
-
47.0%
]
46.97%
775 7.5%
[
47.0%
-
47.5%
]
47.16%
2,935 7.8%
[
47.5%
-
48.0%
]
47.65%
1,171 1.6%
[
48.0%
-
48.5%
]
48.24%
1,762 20.8%
[
48.5%
-
49.0%
]
48.67%
2,967 12.4%
[
49.0%
-
49.5%
]
49.29%
1,828 23.6%
[
49.5%
-
50.0%
]
49.69%
1,131 19.1%
[
50.0%
-
50.5%
]
50.36%
2,079 6.6%
[
50.5%
-
51.0%
]
50.67%
3,349 10.9%
[
51.0%
-
51.5%
]
51.06%
282 40.0%
[
52.0%
-
52.5%
]
52.20%
1,615 13.4%
[
52.5%
-
53.0%
]
52.89%
121 70.0%
[
53.0%
-
53.5%
]
53.36%
431 7.7%
[
53.5%
-
54.0%
]
53.72%
1,720 23.4%
[
54.0%
-
54.5%
]
54.12%
2,086 7.9%
[
55.0%
-
55.5%
]
55.47%
2,104 3.8%
[
55.5%
-
56.0%
]
55.52%
679 18.5%
[
56.5%
-
57.0%
]
56.75%
719 16.1%
[
57.5%
-
58.0%
]
57.69%
338 45.9%
[
58.0%
-
58.5%
]
58.06%
434 19.2%
[
61.0%
-
61.5%
]
61.36%
88 25.0%
[
63.0%
-
63.5%
]
63.48%
178 5.7%
[
64.0%
-
64.5%
]
64.02%
264 50.0%
[
65.5%
-
66.0%
]
65.70%
242 68.8%
[
67.5%
-
68.0%
]
67.74%
155 4.2%
[
72.0%
-
72.5%
]
72.04%
279 13.6%