Swiss 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

Swiss Child Poverty Among Boys Under 16
Exceptional

14.8%
POVERTY | BOYS < 16
97.3/ 100
METRIC RATING
84th/ 347
METRIC RANK

Swiss Child Poverty Among Boys Under 16 Correlation Chart

The statistical analysis conducted on geographies consisting of 453,201,840 people shows a weak positive correlation between the proportion of Swiss and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.275 and weighted average of 14.8%. On average, for every 1% (one percent) increase in Swiss within a typical geography, there is an increase of 0.36% in poverty level among boys under the age of 16.
Swiss Child Poverty Among Boys Under 16
It is essential to understand that the correlation between the percentage of Swiss 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 Swiss influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Swiss 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 Swiss by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Swiss are Taiwanese (14.8%, a difference of 0.040%), German (14.8%, a difference of 0.11%), Immigrants from South Africa (14.8%, a difference of 0.12%), Northern European (14.8%, a difference of 0.16%), and Immigrants from North America (14.8%, a difference of 0.18%).
DemographicsRating | RankChild Poverty Among Boys Under 16
Macedonians
97.9
/100
|
#77
Exceptional
14.7%
Egyptians
97.8
/100
|
#78
Exceptional
14.7%
Immigrants from Eastern Europe
97.8
/100
|
#79
Exceptional
14.7%
Immigrants from Russia
97.7
/100
|
#80
Exceptional
14.7%
Immigrants from Canada
97.6
/100
|
#81
Exceptional
14.7%
Ukrainians
97.6
/100
|
#82
Exceptional
14.7%
Immigrants from South Africa
97.4
/100
|
#83
Exceptional
14.8%
Swiss
97.3
/100
|
#84
Exceptional
14.8%
Taiwanese
97.3
/100
|
#85
Exceptional
14.8%
Germans
97.2
/100
|
#86
Exceptional
14.8%
Northern Europeans
97.2
/100
|
#87
Exceptional
14.8%
Immigrants from North America
97.1
/100
|
#88
Exceptional
14.8%
Immigrants from Argentina
97.1
/100
|
#89
Exceptional
14.8%
Austrians
97.1
/100
|
#90
Exceptional
14.8%
Paraguayans
96.8
/100
|
#91
Exceptional
14.9%

Swiss Child Poverty Among Boys Under 16 Correlation Summary

MeasurementSwiss DataChild Poverty Among Boys Under 16 Data
Minimum0.18%5.0%
Maximum35.3%70.8%
Range35.1%65.8%
Mean13.1%16.9%
Median12.3%14.4%
Interquartile 25% (IQ1)6.0%12.1%
Interquartile 75% (IQ3)19.6%17.7%
Interquartile Range (IQR)13.6%5.6%
Standard Deviation (Sample)8.5%11.1%
Standard Deviation (Population)8.4%11.0%

Correlation Details

Swiss PercentileSample SizeChild Poverty Among Boys Under 16
[
0.0%
-
0.5%
]
0.18%
386,505,53517.1%
[
0.5%
-
1.0%
]
0.68%
49,097,18811.6%
[
1.0%
-
1.5%
]
1.21%
9,697,06812.1%
[
1.5%
-
2.0%
]
1.70%
3,258,13612.2%
[
2.0%
-
2.5%
]
2.20%
1,479,33614.2%
[
2.5%
-
3.0%
]
2.72%
976,53815.0%
[
3.0%
-
3.5%
]
3.20%
589,35312.3%
[
3.5%
-
4.0%
]
3.72%
374,13812.1%
[
4.0%
-
4.5%
]
4.24%
189,61914.4%
[
4.5%
-
5.0%
]
4.76%
174,72218.3%
[
5.0%
-
5.5%
]
5.26%
112,96112.0%
[
5.5%
-
6.0%
]
5.73%
168,06714.0%
[
6.0%
-
6.5%
]
6.20%
119,97119.3%
[
6.5%
-
7.0%
]
6.75%
51,88216.4%
[
7.0%
-
7.5%
]
7.26%
102,84913.7%
[
7.5%
-
8.0%
]
7.85%
22,5028.3%
[
8.0%
-
8.5%
]
8.31%
20,99614.7%
[
8.5%
-
9.0%
]
8.84%
20,7467.7%
[
9.0%
-
9.5%
]
9.37%
33,86315.5%
[
9.5%
-
10.0%
]
9.79%
21,89715.7%
[
10.0%
-
10.5%
]
10.18%
3,48635.4%
[
10.5%
-
11.0%
]
10.72%
34,74513.7%
[
11.0%
-
11.5%
]
11.38%
22,93512.3%
[
11.5%
-
12.0%
]
11.71%
5,96016.1%
[
12.0%
-
12.5%
]
12.26%
8,54013.7%
[
12.5%
-
13.0%
]
12.78%
8,52130.8%
[
13.0%
-
13.5%
]
13.07%
6,78920.2%
[
13.5%
-
14.0%
]
13.94%
4,73316.4%
[
14.0%
-
14.5%
]
14.31%
5,68316.2%
[
14.5%
-
15.0%
]
14.59%
7,69511.1%
[
15.0%
-
15.5%
]
15.37%
7,62316.1%
[
15.5%
-
16.0%
]
15.72%
1,15822.3%
[
16.5%
-
17.0%
]
16.67%
8,6275.4%
[
17.0%
-
17.5%
]
17.44%
40712.1%
[
18.0%
-
18.5%
]
18.37%
12,23216.5%
[
18.5%
-
19.0%
]
18.82%
15,2089.3%
[
19.0%
-
19.5%
]
19.44%
46870.8%
[
19.5%
-
20.0%
]
19.73%
12,48822.7%
[
20.0%
-
20.5%
]
20.10%
4,7415.0%
[
20.5%
-
21.0%
]
20.68%
1,00115.2%
[
21.0%
-
21.5%
]
21.30%
78411.0%
[
21.5%
-
22.0%
]
21.74%
2,65410.8%
[
23.0%
-
23.5%
]
23.12%
1,5146.4%
[
23.5%
-
24.0%
]
23.91%
2,15418.9%
[
25.0%
-
25.5%
]
25.29%
6016.4%
[
25.5%
-
26.0%
]
25.73%
2,02922.9%
[
26.5%
-
27.0%
]
26.61%
1,13513.8%
[
30.0%
-
30.5%
]
30.19%
36149.2%
[
35.0%
-
35.5%
]
35.32%
20132.0%