Immigrants from Ireland Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Immigrants from Ireland Child Poverty Among Boys Under 16
13.1%
POVERTY | BOYS < 16
99.9/ 100
METRIC RATING
14th/ 347
METRIC RANK
Immigrants from Ireland Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 236,645,142 people shows a mild positive correlation between the proportion of Immigrants from Ireland and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.342 and weighted average of 13.1%. On average, for every 1% (one percent) increase in Immigrants from Ireland within a typical geography, there is an increase of 2.8% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Ireland 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 Immigrants from Ireland influences an upward or downward trend in the level of poverty level among boys under the age of 16 within an area, or if Immigrants from Ireland 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 Immigrants from Ireland by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Ireland are Immigrants from Japan (13.1%, a difference of 0.10%), Maltese (13.2%, a difference of 0.42%), Norwegian (13.2%, a difference of 0.51%), Immigrants from Korea (13.0%, a difference of 0.66%), and Bulgarian (13.3%, a difference of 1.0%).
Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
Iranians | 100.0 /100 | #7 | Exceptional 12.4% |
Immigrants from Singapore | 100.0 /100 | #8 | Exceptional 12.5% |
Immigrants from Iran | 100.0 /100 | #9 | Exceptional 12.5% |
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% |
Immigrants from Ireland Child Poverty Among Boys Under 16 Correlation Summary
Measurement | Immigrants from Ireland Data | Child Poverty Among Boys Under 16 Data |
Minimum | 0.024% | 2.0% |
Maximum | 5.0% | 46.3% |
Range | 5.0% | 44.4% |
Mean | 1.8% | 14.3% |
Median | 1.6% | 11.6% |
Interquartile 25% (IQ1) | 0.78% | 7.2% |
Interquartile 75% (IQ3) | 2.7% | 17.7% |
Interquartile Range (IQR) | 1.9% | 10.5% |
Standard Deviation (Sample) | 1.3% | 10.1% |
Standard Deviation (Population) | 1.2% | 10.0% |
Correlation Details
Immigrants from Ireland Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.024% | 144,362,726 | 17.7% |
[ 0.0% - 0.5% ] 0.080% | 40,805,867 | 13.7% |
[ 0.0% - 0.5% ] 0.14% | 25,340,700 | 15.5% |
[ 0.0% - 0.5% ] 0.19% | 8,096,822 | 10.4% |
[ 0.0% - 0.5% ] 0.25% | 4,985,375 | 10.1% |
[ 0.0% - 0.5% ] 0.31% | 3,353,679 | 12.2% |
[ 0.0% - 0.5% ] 0.36% | 2,484,344 | 7.9% |
[ 0.0% - 0.5% ] 0.42% | 1,296,383 | 8.3% |
[ 0.0% - 0.5% ] 0.47% | 1,023,103 | 8.4% |
[ 0.5% - 1.0% ] 0.52% | 754,431 | 10.2% |
[ 0.5% - 1.0% ] 0.58% | 823,333 | 8.0% |
[ 0.5% - 1.0% ] 0.63% | 534,303 | 13.9% |
[ 0.5% - 1.0% ] 0.70% | 319,494 | 9.4% |
[ 0.5% - 1.0% ] 0.75% | 396,633 | 10.5% |
[ 0.5% - 1.0% ] 0.81% | 365,095 | 9.9% |
[ 0.5% - 1.0% ] 0.86% | 290,668 | 7.5% |
[ 0.5% - 1.0% ] 0.92% | 71,628 | 5.0% |
[ 0.5% - 1.0% ] 0.97% | 98,699 | 7.6% |
[ 1.0% - 1.5% ] 1.04% | 125,366 | 7.0% |
[ 1.0% - 1.5% ] 1.08% | 238,165 | 15.2% |
[ 1.0% - 1.5% ] 1.16% | 72,363 | 11.6% |
[ 1.0% - 1.5% ] 1.21% | 261,529 | 17.7% |
[ 1.0% - 1.5% ] 1.24% | 76,285 | 16.4% |
[ 1.0% - 1.5% ] 1.30% | 77,417 | 12.0% |
[ 1.0% - 1.5% ] 1.37% | 36,044 | 14.3% |
[ 1.0% - 1.5% ] 1.42% | 7,791 | 25.4% |
[ 1.0% - 1.5% ] 1.46% | 29,470 | 6.1% |
[ 1.5% - 2.0% ] 1.54% | 34,446 | 5.2% |
[ 1.5% - 2.0% ] 1.59% | 9,889 | 24.5% |
[ 1.5% - 2.0% ] 1.64% | 6,098 | 6.5% |
[ 1.5% - 2.0% ] 1.71% | 15,807 | 6.7% |
[ 1.5% - 2.0% ] 1.74% | 35,506 | 3.7% |
[ 1.5% - 2.0% ] 1.88% | 20,148 | 8.0% |
[ 1.5% - 2.0% ] 1.91% | 23,554 | 3.7% |
[ 1.5% - 2.0% ] 1.97% | 4,770 | 12.7% |
[ 2.0% - 2.5% ] 2.05% | 146 | 25.0% |
[ 2.0% - 2.5% ] 2.08% | 6,312 | 2.0% |
[ 2.0% - 2.5% ] 2.15% | 1,811 | 15.4% |
[ 2.0% - 2.5% ] 2.21% | 996 | 37.9% |
[ 2.0% - 2.5% ] 2.30% | 304 | 6.5% |
[ 2.0% - 2.5% ] 2.42% | 4,466 | 38.5% |
[ 2.5% - 3.0% ] 2.52% | 2,022 | 6.5% |
[ 2.5% - 3.0% ] 2.66% | 30,895 | 5.7% |
[ 2.5% - 3.0% ] 2.72% | 2,799 | 22.3% |
[ 2.5% - 3.0% ] 2.89% | 3,809 | 9.9% |
[ 2.5% - 3.0% ] 2.97% | 20,439 | 16.7% |
[ 3.0% - 3.5% ] 3.17% | 3,027 | 38.1% |
[ 3.0% - 3.5% ] 3.26% | 399 | 46.3% |
[ 3.0% - 3.5% ] 3.31% | 8,872 | 13.3% |
[ 3.0% - 3.5% ] 3.49% | 15,666 | 20.0% |
[ 3.5% - 4.0% ] 3.58% | 2,041 | 3.4% |
[ 3.5% - 4.0% ] 3.70% | 16,426 | 19.2% |
[ 3.5% - 4.0% ] 3.74% | 3,828 | 22.7% |
[ 3.5% - 4.0% ] 3.83% | 575 | 42.6% |
[ 4.0% - 4.5% ] 4.05% | 7,312 | 4.4% |
[ 4.5% - 5.0% ] 4.59% | 2,047 | 18.2% |
[ 5.0% - 5.5% ] 5.01% | 33,019 | 15.6% |