Immigrants from Serbia Child Poverty Among Boys Under 16
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Child Poverty Among Boys Under 16
Immigrants from Serbia Child Poverty Among Boys Under 16
14.3%
POVERTY | BOYS < 16
99.0/ 100
METRIC RATING
54th/ 347
METRIC RANK
Immigrants from Serbia Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 130,954,888 people shows a weak positive correlation between the proportion of Immigrants from Serbia and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.218 and weighted average of 14.3%. On average, for every 1% (one percent) increase in Immigrants from Serbia within a typical geography, there is an increase of 1.8% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Serbia 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 Serbia 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 Serbia 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 Serbia by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Serbia are Immigrants from Pakistan (14.3%, a difference of 0.050%), Zimbabwean (14.3%, a difference of 0.050%), Immigrants from Philippines (14.3%, a difference of 0.080%), Laotian (14.3%, a difference of 0.12%), and Polish (14.4%, a difference of 0.15%).
Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
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% |
Immigrants from Sweden | 98.9 /100 | #58 | Exceptional 14.4% |
Immigrants from Czechoslovakia | 98.9 /100 | #59 | Exceptional 14.4% |
Immigrants from Belgium | 98.9 /100 | #60 | Exceptional 14.4% |
Scandinavians | 98.8 /100 | #61 | Exceptional 14.4% |
Immigrants from Serbia Child Poverty Among Boys Under 16 Correlation Summary
Measurement | Immigrants from Serbia Data | Child Poverty Among Boys Under 16 Data |
Minimum | 0.0098% | 0.43% |
Maximum | 6.8% | 45.0% |
Range | 6.8% | 44.6% |
Mean | 0.95% | 13.6% |
Median | 0.69% | 12.2% |
Interquartile 25% (IQ1) | 0.34% | 7.3% |
Interquartile 75% (IQ3) | 1.1% | 16.4% |
Interquartile Range (IQR) | 0.71% | 9.0% |
Standard Deviation (Sample) | 1.1% | 9.1% |
Standard Deviation (Population) | 1.1% | 9.0% |
Correlation Details
Immigrants from Serbia Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.0098% | 46,376,572 | 19.1% |
[ 0.0% - 0.5% ] 0.030% | 41,097,670 | 18.7% |
[ 0.0% - 0.5% ] 0.049% | 12,229,216 | 15.4% |
[ 0.0% - 0.5% ] 0.070% | 7,044,121 | 13.9% |
[ 0.0% - 0.5% ] 0.090% | 3,868,152 | 12.4% |
[ 0.0% - 0.5% ] 0.11% | 7,076,187 | 16.9% |
[ 0.0% - 0.5% ] 0.13% | 2,147,953 | 13.6% |
[ 0.0% - 0.5% ] 0.15% | 1,831,347 | 13.5% |
[ 0.0% - 0.5% ] 0.17% | 1,343,951 | 12.3% |
[ 0.0% - 0.5% ] 0.19% | 1,277,362 | 12.7% |
[ 0.0% - 0.5% ] 0.21% | 973,100 | 9.4% |
[ 0.0% - 0.5% ] 0.23% | 637,885 | 13.0% |
[ 0.0% - 0.5% ] 0.25% | 812,162 | 12.7% |
[ 0.0% - 0.5% ] 0.27% | 237,570 | 6.7% |
[ 0.0% - 0.5% ] 0.29% | 431,020 | 12.0% |
[ 0.0% - 0.5% ] 0.31% | 215,278 | 11.6% |
[ 0.0% - 0.5% ] 0.33% | 188,183 | 11.0% |
[ 0.0% - 0.5% ] 0.35% | 582,958 | 11.7% |
[ 0.0% - 0.5% ] 0.37% | 141,022 | 10.7% |
[ 0.0% - 0.5% ] 0.39% | 353,628 | 16.4% |
[ 0.0% - 0.5% ] 0.42% | 153,932 | 12.8% |
[ 0.0% - 0.5% ] 0.44% | 76,132 | 11.8% |
[ 0.0% - 0.5% ] 0.46% | 108,727 | 15.8% |
[ 0.0% - 0.5% ] 0.48% | 173,834 | 15.3% |
[ 0.0% - 0.5% ] 0.50% | 85,403 | 6.5% |
[ 0.5% - 1.0% ] 0.51% | 74,524 | 10.1% |
[ 0.5% - 1.0% ] 0.54% | 222,532 | 14.2% |
[ 0.5% - 1.0% ] 0.56% | 12,227 | 21.9% |
[ 0.5% - 1.0% ] 0.58% | 23,641 | 11.9% |
[ 0.5% - 1.0% ] 0.59% | 98,522 | 26.1% |
[ 0.5% - 1.0% ] 0.62% | 52,070 | 5.5% |
[ 0.5% - 1.0% ] 0.63% | 129,237 | 12.8% |
[ 0.5% - 1.0% ] 0.65% | 15,275 | 2.4% |
[ 0.5% - 1.0% ] 0.68% | 54,472 | 12.0% |
[ 0.5% - 1.0% ] 0.70% | 57,669 | 8.7% |
[ 0.5% - 1.0% ] 0.72% | 90,959 | 7.5% |
[ 0.5% - 1.0% ] 0.74% | 10,313 | 25.0% |
[ 0.5% - 1.0% ] 0.76% | 78,220 | 5.9% |
[ 0.5% - 1.0% ] 0.79% | 110,012 | 8.1% |
[ 0.5% - 1.0% ] 0.80% | 16,047 | 3.2% |
[ 0.5% - 1.0% ] 0.82% | 92,418 | 5.6% |
[ 0.5% - 1.0% ] 0.83% | 4,080 | 19.0% |
[ 0.5% - 1.0% ] 0.86% | 59,624 | 6.5% |
[ 0.5% - 1.0% ] 0.88% | 6,378 | 8.3% |
[ 0.5% - 1.0% ] 0.90% | 19,455 | 8.2% |
[ 0.5% - 1.0% ] 0.92% | 15,404 | 14.1% |
[ 0.5% - 1.0% ] 0.95% | 21,434 | 5.6% |
[ 0.5% - 1.0% ] 0.97% | 20,940 | 5.6% |
[ 1.0% - 1.5% ] 1.00% | 299 | 4.4% |
[ 1.0% - 1.5% ] 1.03% | 6,432 | 42.7% |
[ 1.0% - 1.5% ] 1.04% | 6,444 | 0.43% |
[ 1.0% - 1.5% ] 1.07% | 15,861 | 12.4% |
[ 1.0% - 1.5% ] 1.08% | 43,813 | 11.7% |
[ 1.0% - 1.5% ] 1.21% | 1,156 | 45.0% |
[ 1.0% - 1.5% ] 1.27% | 9,977 | 28.6% |
[ 1.0% - 1.5% ] 1.39% | 31,647 | 6.1% |
[ 1.0% - 1.5% ] 1.47% | 13,070 | 6.9% |
[ 1.0% - 1.5% ] 1.50% | 6,147 | 7.1% |
[ 1.5% - 2.0% ] 1.53% | 35,112 | 7.8% |
[ 1.5% - 2.0% ] 1.90% | 946 | 17.0% |
[ 1.5% - 2.0% ] 1.94% | 21,357 | 3.5% |
[ 2.0% - 2.5% ] 2.09% | 766 | 3.6% |
[ 2.0% - 2.5% ] 2.16% | 1,066 | 37.7% |
[ 2.0% - 2.5% ] 2.21% | 317 | 40.0% |
[ 2.5% - 3.0% ] 2.97% | 6,322 | 16.4% |
[ 3.5% - 4.0% ] 3.63% | 4,022 | 18.9% |
[ 4.0% - 4.5% ] 4.05% | 568 | 20.3% |
[ 6.5% - 7.0% ] 6.82% | 748 | 21.4% |