Swiss Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Swiss Child Poverty Among Girls Under 16
14.8%
POVERTY | GIRLS < 16
97.2/ 100
METRIC RATING
85th/ 347
METRIC RANK
Swiss Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 452,044,614 people shows a weak positive correlation between the proportion of Swiss and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.273 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 0.37% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Swiss 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 Swiss influences an upward or downward trend in the level of poverty level among girls 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 girls under the age of 16 due to other factors.
Demographics Similar to Swiss by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Swiss are Australian (14.8%, a difference of 0.040%), Finnish (14.8%, a difference of 0.060%), Soviet Union (14.8%, a difference of 0.11%), Immigrants from Canada (14.8%, a difference of 0.13%), and Jordanian (14.8%, a difference of 0.18%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Argentineans | 97.9 /100 | #78 | Exceptional 14.7% |
| Immigrants from Turkey | 97.9 /100 | #79 | Exceptional 14.7% |
| Egyptians | 97.9 /100 | #80 | Exceptional 14.7% |
| Ukrainians | 97.7 /100 | #81 | Exceptional 14.7% |
| Macedonians | 97.6 /100 | #82 | Exceptional 14.7% |
| Immigrants from Italy | 97.4 /100 | #83 | Exceptional 14.8% |
| Soviet Union | 97.3 /100 | #84 | Exceptional 14.8% |
| Swiss | 97.2 /100 | #85 | Exceptional 14.8% |
| Australians | 97.2 /100 | #86 | Exceptional 14.8% |
| Finns | 97.2 /100 | #87 | Exceptional 14.8% |
| Immigrants from Canada | 97.1 /100 | #88 | Exceptional 14.8% |
| Jordanians | 97.1 /100 | #89 | Exceptional 14.8% |
| Northern Europeans | 97.0 /100 | #90 | Exceptional 14.8% |
| Immigrants from Belarus | 97.0 /100 | #91 | Exceptional 14.8% |
| Austrians | 96.7 /100 | #92 | Exceptional 14.9% |
Swiss Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Swiss Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.18% | 4.8% |
| Maximum | 30.2% | 52.5% |
| Range | 30.0% | 47.7% |
| Mean | 12.6% | 16.6% |
| Median | 12.2% | 14.3% |
| Interquartile 25% (IQ1) | 6.0% | 11.1% |
| Interquartile 75% (IQ3) | 19.1% | 17.5% |
| Interquartile Range (IQR) | 13.2% | 6.5% |
| Standard Deviation (Sample) | 7.8% | 10.4% |
| Standard Deviation (Population) | 7.7% | 10.3% |
Correlation Details
| Swiss Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.18% | 385,717,156 | 17.3% |
[ 0.5% - 1.0% ] 0.68% | 48,945,080 | 11.5% |
[ 1.0% - 1.5% ] 1.21% | 9,564,612 | 12.6% |
[ 1.5% - 2.0% ] 1.70% | 3,275,905 | 11.9% |
[ 2.0% - 2.5% ] 2.19% | 1,427,829 | 13.0% |
[ 2.5% - 3.0% ] 2.72% | 991,355 | 14.6% |
[ 3.0% - 3.5% ] 3.20% | 543,294 | 11.2% |
[ 3.5% - 4.0% ] 3.71% | 375,560 | 12.5% |
[ 4.0% - 4.5% ] 4.25% | 195,960 | 14.3% |
[ 4.5% - 5.0% ] 4.76% | 169,654 | 16.7% |
[ 5.0% - 5.5% ] 5.29% | 89,881 | 13.3% |
[ 5.5% - 6.0% ] 5.72% | 168,563 | 14.4% |
[ 6.0% - 6.5% ] 6.19% | 113,613 | 14.5% |
[ 6.5% - 7.0% ] 6.75% | 51,798 | 16.0% |
[ 7.0% - 7.5% ] 7.26% | 103,186 | 16.0% |
[ 7.5% - 8.0% ] 7.80% | 21,170 | 12.4% |
[ 8.0% - 8.5% ] 8.22% | 35,216 | 7.9% |
[ 8.5% - 9.0% ] 8.75% | 28,186 | 5.5% |
[ 9.0% - 9.5% ] 9.35% | 36,347 | 12.4% |
[ 9.5% - 10.0% ] 9.76% | 19,401 | 11.0% |
[ 10.0% - 10.5% ] 10.16% | 4,113 | 37.2% |
[ 10.5% - 11.0% ] 10.69% | 30,550 | 8.8% |
[ 11.0% - 11.5% ] 11.37% | 19,295 | 17.7% |
[ 11.5% - 12.0% ] 11.71% | 6,079 | 10.7% |
[ 12.0% - 12.5% ] 12.24% | 7,353 | 14.8% |
[ 12.5% - 13.0% ] 12.74% | 6,365 | 33.4% |
[ 13.0% - 13.5% ] 13.07% | 6,789 | 18.3% |
[ 13.5% - 14.0% ] 13.94% | 4,733 | 16.5% |
[ 14.0% - 14.5% ] 14.31% | 5,325 | 16.4% |
[ 14.5% - 15.0% ] 14.61% | 8,732 | 26.8% |
[ 15.0% - 15.5% ] 15.36% | 8,362 | 13.6% |
[ 15.5% - 16.0% ] 15.72% | 1,158 | 21.7% |
[ 16.5% - 17.0% ] 16.67% | 8,627 | 5.1% |
[ 17.0% - 17.5% ] 17.44% | 407 | 40.0% |
[ 17.5% - 18.0% ] 17.54% | 2,719 | 7.2% |
[ 18.0% - 18.5% ] 18.37% | 11,918 | 11.3% |
[ 18.5% - 19.0% ] 18.82% | 15,208 | 6.6% |
[ 19.0% - 19.5% ] 19.44% | 468 | 50.0% |
[ 19.5% - 20.0% ] 19.68% | 10,128 | 21.7% |
[ 20.0% - 20.5% ] 20.35% | 742 | 15.2% |
[ 20.5% - 21.0% ] 20.68% | 1,001 | 15.8% |
[ 21.0% - 21.5% ] 21.30% | 784 | 8.6% |
[ 21.5% - 22.0% ] 21.74% | 2,654 | 9.7% |
[ 22.0% - 22.5% ] 22.07% | 145 | 11.1% |
[ 23.0% - 23.5% ] 23.12% | 1,514 | 7.1% |
[ 23.5% - 24.0% ] 23.91% | 2,154 | 26.4% |
[ 25.5% - 26.0% ] 25.73% | 2,029 | 23.5% |
[ 26.5% - 27.0% ] 26.61% | 1,135 | 4.8% |
[ 30.0% - 30.5% ] 30.19% | 361 | 52.5% |