Peruvian Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Peruvian Child Poverty Among Boys Under 16
15.5%
POVERTY | BOYS < 16
88.1/ 100
METRIC RATING
134th/ 347
METRIC RANK
Peruvian Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 358,179,788 people shows a poor positive correlation between the proportion of Peruvians and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.174 and weighted average of 15.5%. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.40% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Peruvians 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 Peruvians influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Peruvians 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 Peruvians by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Peruvians are Welsh (15.5%, a difference of 0.040%), Immigrants from Kazakhstan (15.5%, a difference of 0.15%), Portuguese (15.5%, a difference of 0.17%), Icelander (15.5%, a difference of 0.19%), and Immigrants from Spain (15.6%, a difference of 0.29%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Carpatho Rusyns | 91.1 /100 | #127 | Exceptional 15.4% |
| Canadians | 90.6 /100 | #128 | Exceptional 15.4% |
| Immigrants from Brazil | 90.3 /100 | #129 | Exceptional 15.4% |
| Mongolians | 90.2 /100 | #130 | Exceptional 15.4% |
| Immigrants from Western Europe | 90.0 /100 | #131 | Exceptional 15.4% |
| Immigrants from Kazakhstan | 88.7 /100 | #132 | Excellent 15.5% |
| Welsh | 88.3 /100 | #133 | Excellent 15.5% |
| Peruvians | 88.1 /100 | #134 | Excellent 15.5% |
| Portuguese | 87.5 /100 | #135 | Excellent 15.5% |
| Icelanders | 87.5 /100 | #136 | Excellent 15.5% |
| Immigrants from Spain | 87.1 /100 | #137 | Excellent 15.6% |
| Immigrants from Southern Europe | 86.5 /100 | #138 | Excellent 15.6% |
| Albanians | 86.5 /100 | #139 | Excellent 15.6% |
| Immigrants from Kuwait | 85.6 /100 | #140 | Excellent 15.6% |
| Slavs | 84.5 /100 | #141 | Excellent 15.7% |
Peruvian Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Peruvian Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.070% | 1.4% |
| Maximum | 28.4% | 48.9% |
| Range | 28.3% | 47.5% |
| Mean | 5.5% | 17.6% |
| Median | 4.8% | 15.7% |
| Interquartile 25% (IQ1) | 2.4% | 12.6% |
| Interquartile 75% (IQ3) | 7.5% | 19.4% |
| Interquartile Range (IQR) | 5.1% | 6.8% |
| Standard Deviation (Sample) | 4.4% | 10.2% |
| Standard Deviation (Population) | 4.4% | 10.1% |
Correlation Details
| Peruvian Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.070% | 148,239,978 | 18.8% |
[ 0.0% - 0.5% ] 0.20% | 84,400,340 | 16.0% |
[ 0.0% - 0.5% ] 0.35% | 40,568,713 | 15.4% |
[ 0.0% - 0.5% ] 0.49% | 31,567,779 | 15.8% |
[ 0.5% - 1.0% ] 0.63% | 13,612,550 | 13.7% |
[ 0.5% - 1.0% ] 0.77% | 7,920,109 | 13.8% |
[ 0.5% - 1.0% ] 0.93% | 5,637,189 | 14.2% |
[ 1.0% - 1.5% ] 1.06% | 4,509,041 | 14.6% |
[ 1.0% - 1.5% ] 1.20% | 3,389,017 | 15.7% |
[ 1.0% - 1.5% ] 1.35% | 2,767,578 | 11.7% |
[ 1.0% - 1.5% ] 1.49% | 1,869,667 | 13.9% |
[ 1.5% - 2.0% ] 1.63% | 1,603,330 | 13.9% |
[ 1.5% - 2.0% ] 1.77% | 1,837,044 | 12.6% |
[ 1.5% - 2.0% ] 1.92% | 1,700,278 | 15.9% |
[ 2.0% - 2.5% ] 2.06% | 934,382 | 15.3% |
[ 2.0% - 2.5% ] 2.18% | 763,368 | 15.6% |
[ 2.0% - 2.5% ] 2.33% | 838,421 | 12.5% |
[ 2.0% - 2.5% ] 2.47% | 811,454 | 13.9% |
[ 2.5% - 3.0% ] 2.60% | 688,715 | 16.0% |
[ 2.5% - 3.0% ] 2.77% | 546,261 | 14.0% |
[ 2.5% - 3.0% ] 2.89% | 306,196 | 13.5% |
[ 3.0% - 3.5% ] 3.05% | 582,973 | 18.0% |
[ 3.0% - 3.5% ] 3.20% | 219,707 | 9.1% |
[ 3.0% - 3.5% ] 3.33% | 410,195 | 13.5% |
[ 3.0% - 3.5% ] 3.49% | 230,721 | 18.1% |
[ 3.5% - 4.0% ] 3.64% | 259,302 | 16.8% |
[ 3.5% - 4.0% ] 3.74% | 236,906 | 12.9% |
[ 3.5% - 4.0% ] 3.92% | 26,676 | 18.9% |
[ 4.0% - 4.5% ] 4.05% | 220,046 | 21.1% |
[ 4.0% - 4.5% ] 4.19% | 80,817 | 16.0% |
[ 4.0% - 4.5% ] 4.32% | 24,738 | 21.6% |
[ 4.0% - 4.5% ] 4.48% | 175,696 | 9.7% |
[ 4.5% - 5.0% ] 4.62% | 217,707 | 12.6% |
[ 4.5% - 5.0% ] 4.76% | 73,785 | 10.5% |
[ 4.5% - 5.0% ] 4.84% | 67,521 | 15.9% |
[ 5.0% - 5.5% ] 5.04% | 98,715 | 16.7% |
[ 5.0% - 5.5% ] 5.22% | 72,271 | 17.5% |
[ 5.0% - 5.5% ] 5.31% | 3,088 | 48.9% |
[ 5.0% - 5.5% ] 5.43% | 71,790 | 17.1% |
[ 5.5% - 6.0% ] 5.84% | 22,735 | 10.9% |
[ 5.5% - 6.0% ] 5.98% | 7,179 | 37.8% |
[ 6.0% - 6.5% ] 6.19% | 182,097 | 34.3% |
[ 6.0% - 6.5% ] 6.29% | 47,129 | 26.1% |
[ 6.0% - 6.5% ] 6.42% | 2,974 | 43.9% |
[ 6.5% - 7.0% ] 6.61% | 2,815 | 1.4% |
[ 6.5% - 7.0% ] 6.76% | 44,537 | 20.9% |
[ 6.5% - 7.0% ] 6.93% | 9,124 | 4.4% |
[ 6.5% - 7.0% ] 6.98% | 3,781 | 1.4% |
[ 7.0% - 7.5% ] 7.11% | 17,048 | 14.6% |
[ 7.0% - 7.5% ] 7.28% | 3,117 | 7.1% |
[ 7.0% - 7.5% ] 7.40% | 8,945 | 12.1% |
[ 7.5% - 8.0% ] 7.58% | 963 | 35.4% |
[ 7.5% - 8.0% ] 7.70% | 40,042 | 10.5% |
[ 7.5% - 8.0% ] 7.89% | 38,572 | 24.6% |
[ 8.0% - 8.5% ] 8.06% | 29,533 | 25.9% |
[ 8.0% - 8.5% ] 8.14% | 1,056 | 5.7% |
[ 8.0% - 8.5% ] 8.29% | 1,074 | 19.8% |
[ 8.0% - 8.5% ] 8.43% | 522 | 2.1% |
[ 8.5% - 9.0% ] 8.84% | 362 | 6.7% |
[ 9.0% - 9.5% ] 9.16% | 2,718 | 45.1% |
[ 9.0% - 9.5% ] 9.34% | 22,377 | 44.3% |
[ 9.5% - 10.0% ] 9.62% | 82,314 | 17.9% |
[ 10.0% - 10.5% ] 10.26% | 1,277 | 33.7% |
[ 11.5% - 12.0% ] 11.77% | 11,069 | 23.6% |
[ 12.0% - 12.5% ] 12.13% | 4,947 | 2.4% |
[ 14.0% - 14.5% ] 14.08% | 6,299 | 17.2% |
[ 14.5% - 15.0% ] 14.60% | 815 | 29.8% |
[ 28.0% - 28.5% ] 28.38% | 303 | 17.9% |