Immigrants from Oceania Child Poverty Among Girls Under 16
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Child Poverty Among Girls Under 16
Immigrants from Oceania Child Poverty Among Girls Under 16
16.1%
POVERTY | GIRLS < 16
68.4/ 100
METRIC RATING
163rd/ 347
METRIC RANK
Immigrants from Oceania Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 301,068,502 people shows no correlation between the proportion of Immigrants from Oceania and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.033 and weighted average of 16.1%. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is an increase of 0.040% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Oceania and poverty level among girls under the age of 16 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Oceania influences an upward or downward trend in the level of poverty level among girls under the age of 16 within an area, or if Immigrants from Oceania simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.
Demographics Similar to Immigrants from Oceania by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Oceania are French Canadian (16.1%, a difference of 0.050%), Immigrants from Colombia (16.1%, a difference of 0.070%), Immigrants from Germany (16.1%, a difference of 0.14%), South American (16.1%, a difference of 0.16%), and Uruguayan (16.2%, a difference of 0.48%).
| Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
| Immigrants from Fiji | 76.1 /100 | #156 | Good 15.9% |
| Colombians | 76.1 /100 | #157 | Good 15.9% |
| Guamanians/Chamorros | 75.3 /100 | #158 | Good 15.9% |
| Slovaks | 75.2 /100 | #159 | Good 15.9% |
| French | 72.8 /100 | #160 | Good 16.0% |
| Immigrants from Northern Africa | 72.0 /100 | #161 | Good 16.0% |
| French Canadians | 68.7 /100 | #162 | Good 16.1% |
| Immigrants from Oceania | 68.4 /100 | #163 | Good 16.1% |
| Immigrants from Colombia | 67.8 /100 | #164 | Good 16.1% |
| Immigrants from Germany | 67.3 /100 | #165 | Good 16.1% |
| South Americans | 67.2 /100 | #166 | Good 16.1% |
| Uruguayans | 64.7 /100 | #167 | Good 16.2% |
| Yugoslavians | 64.4 /100 | #168 | Good 16.2% |
| Costa Ricans | 64.2 /100 | #169 | Good 16.2% |
| Immigrants from Venezuela | 64.2 /100 | #170 | Good 16.2% |
Immigrants from Oceania Child Poverty Among Girls Under 16 Correlation Summary
| Measurement | Immigrants from Oceania Data | Child Poverty Among Girls Under 16 Data |
| Minimum | 0.10% | 4.3% |
| Maximum | 32.2% | 39.0% |
| Range | 32.1% | 34.8% |
| Mean | 7.5% | 19.3% |
| Median | 6.1% | 18.7% |
| Interquartile 25% (IQ1) | 3.1% | 14.4% |
| Interquartile 75% (IQ3) | 9.8% | 21.9% |
| Interquartile Range (IQR) | 6.7% | 7.5% |
| Standard Deviation (Sample) | 6.7% | 8.0% |
| Standard Deviation (Population) | 6.6% | 7.9% |
Correlation Details
| Immigrants from Oceania Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.10% | 278,077,443 | 16.7% |
[ 0.5% - 1.0% ] 0.60% | 13,501,047 | 13.7% |
[ 1.0% - 1.5% ] 1.06% | 4,523,176 | 12.5% |
[ 1.0% - 1.5% ] 1.49% | 2,163,385 | 15.9% |
[ 1.5% - 2.0% ] 1.97% | 758,957 | 13.7% |
[ 2.0% - 2.5% ] 2.42% | 488,141 | 18.7% |
[ 2.5% - 3.0% ] 2.84% | 607,727 | 17.4% |
[ 3.0% - 3.5% ] 3.36% | 177,795 | 18.7% |
[ 3.5% - 4.0% ] 3.65% | 251,644 | 20.5% |
[ 4.0% - 4.5% ] 4.17% | 77,329 | 13.0% |
[ 4.0% - 4.5% ] 4.49% | 78,438 | 23.0% |
[ 5.0% - 5.5% ] 5.17% | 208,627 | 21.3% |
[ 5.0% - 5.5% ] 5.44% | 39,724 | 19.9% |
[ 5.5% - 6.0% ] 5.89% | 4,140 | 16.8% |
[ 6.0% - 6.5% ] 6.32% | 5,077 | 20.8% |
[ 6.5% - 7.0% ] 6.93% | 5,109 | 36.4% |
[ 7.0% - 7.5% ] 7.12% | 63,176 | 20.2% |
[ 7.5% - 8.0% ] 7.83% | 14,987 | 24.6% |
[ 8.0% - 8.5% ] 8.45% | 4,842 | 39.0% |
[ 8.5% - 9.0% ] 8.97% | 624 | 5.2% |
[ 9.0% - 9.5% ] 9.31% | 290 | 30.8% |
[ 10.0% - 10.5% ] 10.30% | 1,214 | 4.3% |
[ 11.0% - 11.5% ] 11.17% | 1,674 | 32.8% |
[ 12.5% - 13.0% ] 12.94% | 7,236 | 15.0% |
[ 13.0% - 13.5% ] 13.36% | 5,411 | 12.5% |
[ 14.5% - 15.0% ] 14.65% | 198 | 22.6% |
[ 18.5% - 19.0% ] 18.76% | 693 | 19.2% |
[ 32.0% - 32.5% ] 32.16% | 398 | 15.4% |