Italian Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Italian Child Poverty Among Boys Under 16
14.2%
POVERTY | BOYS < 16
99.2/ 100
METRIC RATING
50th/ 347
METRIC RANK
Italian Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 553,398,049 people shows a substantial positive correlation between the proportion of Italians and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.511 and weighted average of 14.2%. On average, for every 1% (one percent) increase in Italians within a typical geography, there is an increase of 0.60% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Italians 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 Italians influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Italians 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 Italians by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Italians are Immigrants from Greece (14.2%, a difference of 0.13%), Czech (14.1%, a difference of 0.49%), Immigrants from Indonesia (14.1%, a difference of 0.57%), Immigrants from Moldova (14.1%, a difference of 0.59%), and Laotian (14.3%, a difference of 0.82%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Croatians | 99.5 /100 | #43 | Exceptional 14.0% |
| Estonians | 99.4 /100 | #44 | Exceptional 14.1% |
| Immigrants from Scotland | 99.4 /100 | #45 | Exceptional 14.1% |
| Greeks | 99.4 /100 | #46 | Exceptional 14.1% |
| Immigrants from Moldova | 99.4 /100 | #47 | Exceptional 14.1% |
| Immigrants from Indonesia | 99.4 /100 | #48 | Exceptional 14.1% |
| Czechs | 99.3 /100 | #49 | Exceptional 14.1% |
| Italians | 99.2 /100 | #50 | Exceptional 14.2% |
| Immigrants from Greece | 99.2 /100 | #51 | Exceptional 14.2% |
| Laotians | 99.0 /100 | #52 | Exceptional 14.3% |
| Immigrants from Philippines | 99.0 /100 | #53 | Exceptional 14.3% |
| Immigrants from Serbia | 99.0 /100 | #54 | Exceptional 14.3% |
| Immigrants from Pakistan | 99.0 /100 | #55 | Exceptional 14.3% |
| Zimbabweans | 99.0 /100 | #56 | Exceptional 14.3% |
| Poles | 98.9 /100 | #57 | Exceptional 14.4% |
Italian Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Italian Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.27% | 1.1% |
| Maximum | 100.0% | 100.0% |
| Range | 99.7% | 98.9% |
| Mean | 25.7% | 16.8% |
| Median | 24.0% | 10.8% |
| Interquartile 25% (IQ1) | 12.0% | 7.1% |
| Interquartile 75% (IQ3) | 35.9% | 14.0% |
| Interquartile Range (IQR) | 24.0% | 6.9% |
| Standard Deviation (Sample) | 18.1% | 21.1% |
| Standard Deviation (Population) | 18.0% | 20.9% |
Correlation Details
| Italian Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.27% | 28,206,429 | 32.7% |
[ 0.5% - 1.0% ] 0.77% | 37,057,545 | 25.2% |
[ 1.0% - 1.5% ] 1.26% | 40,868,662 | 21.9% |
[ 1.5% - 2.0% ] 1.74% | 49,112,852 | 21.2% |
[ 2.0% - 2.5% ] 2.25% | 44,219,429 | 18.6% |
[ 2.5% - 3.0% ] 2.74% | 48,468,040 | 17.7% |
[ 3.0% - 3.5% ] 3.25% | 39,191,383 | 16.2% |
[ 3.5% - 4.0% ] 3.76% | 38,785,661 | 16.7% |
[ 4.0% - 4.5% ] 4.25% | 29,593,199 | 14.1% |
[ 4.5% - 5.0% ] 4.73% | 24,496,127 | 13.5% |
[ 5.0% - 5.5% ] 5.25% | 21,087,185 | 13.2% |
[ 5.5% - 6.0% ] 5.79% | 25,367,095 | 16.4% |
[ 6.0% - 6.5% ] 6.24% | 14,111,972 | 13.6% |
[ 6.5% - 7.0% ] 6.75% | 14,304,515 | 14.6% |
[ 7.0% - 7.5% ] 7.23% | 10,981,246 | 13.8% |
[ 7.5% - 8.0% ] 7.74% | 7,314,114 | 12.4% |
[ 8.0% - 8.5% ] 8.25% | 7,156,686 | 12.2% |
[ 8.5% - 9.0% ] 8.73% | 6,412,587 | 13.9% |
[ 9.0% - 9.5% ] 9.23% | 5,507,962 | 13.7% |
[ 9.5% - 10.0% ] 9.76% | 4,315,529 | 16.8% |
[ 10.0% - 10.5% ] 10.25% | 4,887,903 | 17.3% |
[ 10.5% - 11.0% ] 10.77% | 3,939,458 | 13.3% |
[ 11.0% - 11.5% ] 11.27% | 3,194,851 | 13.1% |
[ 11.5% - 12.0% ] 11.75% | 3,748,101 | 13.4% |
[ 12.0% - 12.5% ] 12.22% | 3,241,521 | 12.3% |
[ 12.5% - 13.0% ] 12.75% | 2,906,941 | 13.5% |
[ 13.0% - 13.5% ] 13.23% | 2,438,060 | 12.8% |
[ 13.5% - 14.0% ] 13.77% | 2,064,396 | 13.7% |
[ 14.0% - 14.5% ] 14.25% | 1,919,318 | 11.9% |
[ 14.5% - 15.0% ] 14.74% | 2,103,477 | 11.4% |
[ 15.0% - 15.5% ] 15.23% | 1,571,397 | 11.6% |
[ 15.5% - 16.0% ] 15.77% | 2,220,061 | 12.1% |
[ 16.0% - 16.5% ] 16.25% | 1,633,403 | 11.3% |
[ 16.5% - 17.0% ] 16.74% | 1,876,846 | 10.8% |
[ 17.0% - 17.5% ] 17.25% | 1,509,512 | 11.1% |
[ 17.5% - 18.0% ] 17.77% | 1,256,120 | 10.6% |
[ 18.0% - 18.5% ] 18.23% | 901,552 | 12.1% |
[ 18.5% - 19.0% ] 18.74% | 1,154,627 | 9.4% |
[ 19.0% - 19.5% ] 19.22% | 1,371,624 | 8.8% |
[ 19.5% - 20.0% ] 19.77% | 1,183,839 | 13.8% |
[ 20.0% - 20.5% ] 20.24% | 1,126,598 | 9.9% |
[ 20.5% - 21.0% ] 20.75% | 573,747 | 10.3% |
[ 21.0% - 21.5% ] 21.17% | 754,534 | 8.5% |
[ 21.5% - 22.0% ] 21.72% | 577,987 | 9.8% |
[ 22.0% - 22.5% ] 22.27% | 544,049 | 10.4% |
[ 22.5% - 23.0% ] 22.73% | 540,217 | 8.6% |
[ 23.0% - 23.5% ] 23.21% | 679,249 | 8.0% |
[ 23.5% - 24.0% ] 23.80% | 532,227 | 6.4% |
[ 24.0% - 24.5% ] 24.18% | 548,110 | 10.8% |
[ 24.5% - 25.0% ] 24.77% | 587,701 | 8.5% |
[ 25.0% - 25.5% ] 25.23% | 563,024 | 7.7% |
[ 25.5% - 26.0% ] 25.76% | 416,414 | 6.6% |
[ 26.0% - 26.5% ] 26.26% | 333,150 | 6.2% |
[ 26.5% - 27.0% ] 26.73% | 368,546 | 6.8% |
[ 27.0% - 27.5% ] 27.22% | 457,188 | 5.0% |
[ 27.5% - 28.0% ] 27.75% | 584,361 | 6.4% |
[ 28.0% - 28.5% ] 28.20% | 166,956 | 8.8% |
[ 28.5% - 29.0% ] 28.76% | 254,302 | 9.2% |
[ 29.0% - 29.5% ] 29.25% | 281,510 | 8.2% |
[ 29.5% - 30.0% ] 29.69% | 186,334 | 8.6% |
[ 30.0% - 30.5% ] 30.26% | 134,655 | 6.0% |
[ 30.5% - 31.0% ] 30.75% | 173,704 | 6.8% |
[ 31.0% - 31.5% ] 31.42% | 176,670 | 7.0% |
[ 31.5% - 32.0% ] 31.75% | 80,257 | 6.7% |
[ 32.0% - 32.5% ] 32.39% | 86,143 | 6.5% |
[ 32.5% - 33.0% ] 32.72% | 103,793 | 6.4% |
[ 33.0% - 33.5% ] 33.38% | 73,116 | 5.9% |
[ 33.5% - 34.0% ] 33.76% | 40,089 | 10.0% |
[ 34.0% - 34.5% ] 34.22% | 62,813 | 3.3% |
[ 34.5% - 35.0% ] 34.89% | 39,912 | 10.8% |
[ 35.0% - 35.5% ] 35.19% | 60,051 | 8.5% |
[ 35.5% - 36.0% ] 35.73% | 84,395 | 10.6% |
[ 36.0% - 36.5% ] 36.15% | 86,872 | 5.0% |
[ 36.5% - 37.0% ] 36.72% | 62,573 | 9.1% |
[ 37.0% - 37.5% ] 37.43% | 57,333 | 2.5% |
[ 37.5% - 38.0% ] 37.72% | 403 | 33.4% |
[ 38.0% - 38.5% ] 38.25% | 26,075 | 2.5% |
[ 38.5% - 39.0% ] 38.64% | 3,284 | 4.6% |
[ 39.0% - 39.5% ] 39.21% | 25,685 | 1.9% |
[ 39.5% - 40.0% ] 39.70% | 88,314 | 10.1% |
[ 40.0% - 40.5% ] 40.34% | 30,308 | 15.0% |
[ 40.5% - 41.0% ] 40.67% | 627 | 46.2% |
[ 41.0% - 41.5% ] 41.39% | 1,353 | 79.0% |
[ 41.5% - 42.0% ] 41.66% | 1,702 | 27.0% |
[ 42.5% - 43.0% ] 42.64% | 54,970 | 4.8% |
[ 43.5% - 44.0% ] 43.72% | 844 | 6.4% |
[ 44.0% - 44.5% ] 44.41% | 52,938 | 4.2% |
[ 46.0% - 46.5% ] 46.49% | 14,755 | 1.1% |
[ 46.5% - 47.0% ] 46.61% | 6,179 | 35.6% |
[ 49.0% - 49.5% ] 49.35% | 308 | 100.0% |
[ 53.0% - 53.5% ] 53.17% | 7,723 | 2.8% |
[ 53.5% - 54.0% ] 53.73% | 335 | 86.3% |
[ 55.0% - 55.5% ] 55.42% | 1,476 | 7.1% |
[ 80.5% - 81.0% ] 80.99% | 605 | 90.7% |
[ 84.0% - 84.5% ] 84.07% | 226 | 100.0% |
[ 99.5% - 100.0% ] 100.00% | 134 | 100.0% |