Immigrants from Ethiopia Child Poverty Among Boys Under 16
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Immigrants from Ethiopia
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Child Poverty Among Boys Under 16
Immigrants from Ethiopia Child Poverty Among Boys Under 16
17.1%
POVERTY | BOYS < 16
72.8/ 100
METRIC RATING
190th/ 347
METRIC RANK
Immigrants from Ethiopia Child Poverty Among Boys Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 208,775,151 people shows a poor negative correlation between the proportion of Immigrants from Ethiopia and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of -0.123 and weighted average of 17.1%. On average, for every 1% (one percent) increase in Immigrants from Ethiopia within a typical geography, there is a decrease of 0.24% in poverty level among boys under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Ethiopia 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 Ethiopia 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 Ethiopia 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 Ethiopia by Child Poverty Among Boys Under 16
In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Ethiopia are Nepalese (17.1%, a difference of 0.030%), Arab (17.1%, a difference of 0.15%), Immigrants from Western Asia (17.1%, a difference of 0.23%), South American Indian (17.0%, a difference of 0.30%), and Kenyan (17.2%, a difference of 0.57%).
| Demographics | Rating | Rank | Child Poverty Among Boys Under 16 |
| Ethiopians | 73.6 /100 | #183 | Good 16.9% |
| Immigrants from Cameroon | 73.4 /100 | #184 | Good 17.0% |
| Whites/Caucasians | 73.4 /100 | #185 | Good 17.0% |
| Immigrants from South America | 73.3 /100 | #186 | Good 17.0% |
| South American Indians | 73.1 /100 | #187 | Good 17.0% |
| Immigrants from Western Asia | 73.0 /100 | #188 | Good 17.1% |
| Arabs | 72.9 /100 | #189 | Good 17.1% |
| Immigrants from Ethiopia | 72.8 /100 | #190 | Good 17.1% |
| Nepalese | 72.8 /100 | #191 | Good 17.1% |
| Kenyans | 72.4 /100 | #192 | Good 17.2% |
| Immigrants from Lebanon | 72.2 /100 | #193 | Good 17.2% |
| Immigrants from Afghanistan | 72.2 /100 | #194 | Good 17.2% |
| Immigrants from Morocco | 72.1 /100 | #195 | Good 17.2% |
| Spaniards | 71.6 /100 | #196 | Good 17.4% |
| Immigrants from Costa Rica | 71.5 /100 | #197 | Good 17.4% |
Immigrants from Ethiopia Child Poverty Among Boys Under 16 Correlation Summary
| Measurement | Immigrants from Ethiopia Data | Child Poverty Among Boys Under 16 Data |
| Minimum | 0.049% | 2.4% |
| Maximum | 24.1% | 41.9% |
| Range | 24.1% | 39.5% |
| Mean | 4.0% | 17.0% |
| Median | 3.4% | 16.3% |
| Interquartile 25% (IQ1) | 1.7% | 13.4% |
| Interquartile 75% (IQ3) | 5.7% | 19.6% |
| Interquartile Range (IQR) | 4.0% | 6.2% |
| Standard Deviation (Sample) | 3.6% | 7.0% |
| Standard Deviation (Population) | 3.6% | 6.9% |
Correlation Details
| Immigrants from Ethiopia Percentile | Sample Size | Child Poverty Among Boys Under 16 |
[ 0.0% - 0.5% ] 0.049% | 133,154,851 | 18.4% |
[ 0.0% - 0.5% ] 0.17% | 32,800,502 | 17.7% |
[ 0.0% - 0.5% ] 0.29% | 11,177,783 | 13.8% |
[ 0.0% - 0.5% ] 0.41% | 9,350,254 | 19.4% |
[ 0.5% - 1.0% ] 0.53% | 4,074,297 | 14.4% |
[ 0.5% - 1.0% ] 0.66% | 2,300,484 | 16.0% |
[ 0.5% - 1.0% ] 0.79% | 3,139,761 | 16.4% |
[ 0.5% - 1.0% ] 0.92% | 1,141,961 | 14.8% |
[ 1.0% - 1.5% ] 1.02% | 1,508,695 | 16.1% |
[ 1.0% - 1.5% ] 1.14% | 1,851,262 | 15.9% |
[ 1.0% - 1.5% ] 1.25% | 1,305,078 | 16.5% |
[ 1.0% - 1.5% ] 1.39% | 1,398,082 | 17.2% |
[ 1.5% - 2.0% ] 1.51% | 565,388 | 13.8% |
[ 1.5% - 2.0% ] 1.63% | 769,435 | 14.3% |
[ 1.5% - 2.0% ] 1.75% | 419,992 | 13.3% |
[ 1.5% - 2.0% ] 1.87% | 103,391 | 12.6% |
[ 1.5% - 2.0% ] 1.99% | 386,415 | 14.3% |
[ 2.0% - 2.5% ] 2.13% | 227,776 | 17.8% |
[ 2.0% - 2.5% ] 2.23% | 254,788 | 17.8% |
[ 2.0% - 2.5% ] 2.37% | 285,629 | 18.0% |
[ 2.0% - 2.5% ] 2.46% | 181,857 | 12.2% |
[ 2.5% - 3.0% ] 2.60% | 131,763 | 13.5% |
[ 2.5% - 3.0% ] 2.69% | 108,778 | 18.7% |
[ 2.5% - 3.0% ] 2.83% | 155,242 | 24.2% |
[ 2.5% - 3.0% ] 2.97% | 261,653 | 26.1% |
[ 3.0% - 3.5% ] 3.08% | 141,272 | 17.8% |
[ 3.0% - 3.5% ] 3.19% | 111,773 | 12.0% |
[ 3.0% - 3.5% ] 3.29% | 35,400 | 27.6% |
[ 3.0% - 3.5% ] 3.48% | 42,672 | 9.0% |
[ 3.5% - 4.0% ] 3.56% | 80,298 | 17.6% |
[ 3.5% - 4.0% ] 3.79% | 55,453 | 9.0% |
[ 4.0% - 4.5% ] 4.17% | 6,018 | 17.6% |
[ 4.0% - 4.5% ] 4.27% | 217,875 | 22.0% |
[ 4.0% - 4.5% ] 4.43% | 137,715 | 20.2% |
[ 4.5% - 5.0% ] 4.50% | 62,623 | 9.3% |
[ 4.5% - 5.0% ] 4.60% | 41,237 | 12.9% |
[ 4.5% - 5.0% ] 4.79% | 21,394 | 11.3% |
[ 4.5% - 5.0% ] 4.93% | 126,640 | 32.7% |
[ 5.0% - 5.5% ] 5.04% | 51,315 | 9.8% |
[ 5.0% - 5.5% ] 5.14% | 42,811 | 19.7% |
[ 5.0% - 5.5% ] 5.23% | 35,954 | 31.0% |
[ 5.5% - 6.0% ] 5.60% | 34,715 | 24.6% |
[ 5.5% - 6.0% ] 5.79% | 44,812 | 6.2% |
[ 5.5% - 6.0% ] 5.96% | 22,701 | 21.1% |
[ 6.0% - 6.5% ] 6.12% | 46,691 | 25.7% |
[ 6.0% - 6.5% ] 6.28% | 82,472 | 13.7% |
[ 6.0% - 6.5% ] 6.36% | 17,772 | 14.6% |
[ 6.5% - 7.0% ] 6.96% | 80,883 | 22.9% |
[ 7.0% - 7.5% ] 7.04% | 2,572 | 27.9% |
[ 7.0% - 7.5% ] 7.15% | 27,524 | 17.9% |
[ 7.0% - 7.5% ] 7.30% | 67,360 | 14.0% |
[ 7.0% - 7.5% ] 7.37% | 26,120 | 14.6% |
[ 7.5% - 8.0% ] 7.98% | 17,610 | 4.2% |
[ 8.0% - 8.5% ] 8.16% | 14,455 | 41.9% |
[ 9.0% - 9.5% ] 9.11% | 19,419 | 9.1% |
[ 24.0% - 24.5% ] 24.14% | 4,478 | 2.4% |