Immigrants from Sierra Leone Child Poverty Under the Age of 16
COMPARE
Immigrants from Sierra Leone
Select to Compare
Child Poverty Under the Age of 16
Immigrants from Sierra Leone Child Poverty Under the Age of 16
17.1%
POVERTY | CHILDREN < 16
14.2/ 100
METRIC RATING
203rd/ 347
METRIC RANK
Immigrants from Sierra Leone Child Poverty Under the Age of 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 101,506,912 people shows a weak positive correlation between the proportion of Immigrants from Sierra Leone and poverty level among children under the age of 16 in the United States with a correlation coefficient (R) of 0.291 and weighted average of 17.1%. On average, for every 1% (one percent) increase in Immigrants from Sierra Leone within a typical geography, there is an increase of 2.8% in poverty level among children under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Sierra Leone and poverty level among children under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Sierra Leone influences an upward or downward trend in the level of poverty level among children under the age of 16 within an area, or if Immigrants from Sierra Leone simply ended up residing in those areas with higher or lower levels of poverty level among children under the age of 16 due to other factors.
Demographics Similar to Immigrants from Sierra Leone by Child Poverty Under the Age of 16
In terms of child poverty under the age of 16, the demographic groups most similar to Immigrants from Sierra Leone are Ugandan (17.1%, a difference of 0.020%), Hmong (17.1%, a difference of 0.060%), Aleut (17.1%, a difference of 0.070%), Immigrants from Uzbekistan (17.1%, a difference of 0.10%), and Immigrants from Cameroon (17.1%, a difference of 0.11%).
| Demographics | Rating | Rank | Child Poverty Under the Age of 16 |
| Immigrants from Lebanon | 22.0 /100 | #196 | Fair 16.8% |
| Immigrants from Kenya | 19.1 /100 | #197 | Poor 16.9% |
| Delaware | 17.1 /100 | #198 | Poor 17.0% |
| Immigrants from Afghanistan | 15.1 /100 | #199 | Poor 17.0% |
| Immigrants from Cameroon | 14.7 /100 | #200 | Poor 17.1% |
| Immigrants from Uzbekistan | 14.7 /100 | #201 | Poor 17.1% |
| Ugandans | 14.3 /100 | #202 | Poor 17.1% |
| Immigrants from Sierra Leone | 14.2 /100 | #203 | Poor 17.1% |
| Hmong | 14.0 /100 | #204 | Poor 17.1% |
| Aleuts | 13.9 /100 | #205 | Poor 17.1% |
| Alaska Natives | 11.8 /100 | #206 | Poor 17.2% |
| German Russians | 8.6 /100 | #207 | Tragic 17.4% |
| Pennsylvania Germans | 7.5 /100 | #208 | Tragic 17.4% |
| Panamanians | 6.9 /100 | #209 | Tragic 17.5% |
| Alaskan Athabascans | 6.9 /100 | #210 | Tragic 17.5% |
Immigrants from Sierra Leone Child Poverty Under the Age of 16 Correlation Summary
| Measurement | Immigrants from Sierra Leone Data | Child Poverty Under the Age of 16 Data |
| Minimum | 0.014% | 0.58% |
| Maximum | 3.8% | 43.1% |
| Range | 3.8% | 42.6% |
| Mean | 1.2% | 16.6% |
| Median | 1.0% | 15.5% |
| Interquartile 25% (IQ1) | 0.49% | 10.7% |
| Interquartile 75% (IQ3) | 1.7% | 20.5% |
| Interquartile Range (IQR) | 1.2% | 9.8% |
| Standard Deviation (Sample) | 0.94% | 9.0% |
| Standard Deviation (Population) | 0.93% | 9.0% |
Correlation Details
| Immigrants from Sierra Leone Percentile | Sample Size | Child Poverty Under the Age of 16 |
[ 0.0% - 0.5% ] 0.014% | 59,331,558 | 20.2% |
[ 0.0% - 0.5% ] 0.044% | 14,630,511 | 19.4% |
[ 0.0% - 0.5% ] 0.077% | 7,902,484 | 19.5% |
[ 0.0% - 0.5% ] 0.11% | 3,810,644 | 16.0% |
[ 0.0% - 0.5% ] 0.14% | 2,436,741 | 19.4% |
[ 0.0% - 0.5% ] 0.17% | 1,937,557 | 14.9% |
[ 0.0% - 0.5% ] 0.20% | 1,614,728 | 17.1% |
[ 0.0% - 0.5% ] 0.23% | 2,095,168 | 21.8% |
[ 0.0% - 0.5% ] 0.26% | 515,501 | 21.9% |
[ 0.0% - 0.5% ] 0.29% | 596,988 | 15.6% |
[ 0.0% - 0.5% ] 0.32% | 998,043 | 19.3% |
[ 0.0% - 0.5% ] 0.36% | 417,881 | 15.0% |
[ 0.0% - 0.5% ] 0.38% | 453,562 | 22.1% |
[ 0.0% - 0.5% ] 0.42% | 330,557 | 6.4% |
[ 0.0% - 0.5% ] 0.45% | 420,817 | 12.3% |
[ 0.0% - 0.5% ] 0.48% | 478,919 | 8.1% |
[ 0.5% - 1.0% ] 0.51% | 316,254 | 17.0% |
[ 0.5% - 1.0% ] 0.54% | 355,837 | 14.6% |
[ 0.5% - 1.0% ] 0.57% | 309,164 | 15.5% |
[ 0.5% - 1.0% ] 0.60% | 55,303 | 12.3% |
[ 0.5% - 1.0% ] 0.64% | 203,113 | 17.3% |
[ 0.5% - 1.0% ] 0.67% | 97,497 | 5.0% |
[ 0.5% - 1.0% ] 0.70% | 116,177 | 23.5% |
[ 0.5% - 1.0% ] 0.72% | 167,473 | 8.2% |
[ 0.5% - 1.0% ] 0.76% | 123,699 | 22.8% |
[ 0.5% - 1.0% ] 0.79% | 100,639 | 13.8% |
[ 0.5% - 1.0% ] 0.82% | 312,285 | 14.6% |
[ 0.5% - 1.0% ] 0.85% | 120,186 | 20.0% |
[ 0.5% - 1.0% ] 0.87% | 117,687 | 11.2% |
[ 0.5% - 1.0% ] 0.92% | 58,787 | 6.2% |
[ 0.5% - 1.0% ] 0.95% | 130,738 | 8.5% |
[ 1.0% - 1.5% ] 1.00% | 85,494 | 11.6% |
[ 1.0% - 1.5% ] 1.05% | 35,552 | 12.2% |
[ 1.0% - 1.5% ] 1.06% | 11,455 | 6.2% |
[ 1.0% - 1.5% ] 1.11% | 137,976 | 18.2% |
[ 1.0% - 1.5% ] 1.14% | 27,761 | 3.2% |
[ 1.0% - 1.5% ] 1.17% | 39,527 | 26.2% |
[ 1.0% - 1.5% ] 1.18% | 98,008 | 13.2% |
[ 1.0% - 1.5% ] 1.28% | 24,430 | 23.9% |
[ 1.0% - 1.5% ] 1.31% | 32,842 | 22.3% |
[ 1.0% - 1.5% ] 1.39% | 20,794 | 7.4% |
[ 1.0% - 1.5% ] 1.45% | 26,573 | 16.8% |
[ 1.0% - 1.5% ] 1.47% | 3,052 | 4.9% |
[ 1.5% - 2.0% ] 1.51% | 20,031 | 5.8% |
[ 1.5% - 2.0% ] 1.53% | 33,855 | 12.6% |
[ 1.5% - 2.0% ] 1.56% | 44,149 | 18.8% |
[ 1.5% - 2.0% ] 1.60% | 45,799 | 13.7% |
[ 1.5% - 2.0% ] 1.63% | 4,226 | 8.6% |
[ 1.5% - 2.0% ] 1.75% | 4,683 | 35.2% |
[ 1.5% - 2.0% ] 1.86% | 6,335 | 10.6% |
[ 2.0% - 2.5% ] 2.00% | 1,049 | 20.8% |
[ 2.0% - 2.5% ] 2.04% | 12,017 | 8.1% |
[ 2.0% - 2.5% ] 2.06% | 28,151 | 19.6% |
[ 2.0% - 2.5% ] 2.24% | 14,901 | 10.8% |
[ 2.0% - 2.5% ] 2.33% | 19,465 | 30.1% |
[ 2.0% - 2.5% ] 2.36% | 71,682 | 15.6% |
[ 2.0% - 2.5% ] 2.41% | 9,574 | 0.58% |
[ 2.0% - 2.5% ] 2.49% | 40,201 | 34.7% |
[ 2.5% - 3.0% ] 2.52% | 2,219 | 42.3% |
[ 3.0% - 3.5% ] 3.09% | 19,531 | 10.7% |
[ 3.0% - 3.5% ] 3.21% | 1,277 | 43.1% |
[ 3.0% - 3.5% ] 3.37% | 2,460 | 33.7% |
[ 3.5% - 4.0% ] 3.59% | 19,369 | 10.0% |
[ 3.5% - 4.0% ] 3.82% | 5,976 | 33.3% |