Immigrants from Australia Female Poverty
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Immigrants from Australia
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Female Poverty
Immigrants from Australia Female Poverty
12.2%
POVERTY | FEMALES
98.1/ 100
METRIC RATING
60th/ 347
METRIC RANK
Immigrants from Australia Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 227,116,794 people shows a substantial positive correlation between the proportion of Immigrants from Australia and poverty level among females in the United States with a correlation coefficient (R) of 0.574 and weighted average of 12.2%. On average, for every 1% (one percent) increase in Immigrants from Australia within a typical geography, there is an increase of 2.0% in poverty level among females.
It is essential to understand that the correlation between the percentage of Immigrants from Australia and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Australia influences an upward or downward trend in the level of poverty level among females within an area, or if Immigrants from Australia simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Immigrants from Australia by Female Poverty
In terms of female poverty, the demographic groups most similar to Immigrants from Australia are Immigrants from Asia (12.2%, a difference of 0.0%), Immigrants from Italy (12.2%, a difference of 0.030%), Ukrainian (12.2%, a difference of 0.11%), German (12.2%, a difference of 0.14%), and Indian (Asian) (12.2%, a difference of 0.17%).
Demographics | Rating | Rank | Female Poverty |
Immigrants from Austria | 98.7 /100 | #53 | Exceptional 12.0% |
Immigrants from Philippines | 98.7 /100 | #54 | Exceptional 12.1% |
Immigrants from Sri Lanka | 98.5 /100 | #55 | Exceptional 12.1% |
Estonians | 98.3 /100 | #56 | Exceptional 12.1% |
Immigrants from Serbia | 98.3 /100 | #57 | Exceptional 12.1% |
Scandinavians | 98.2 /100 | #58 | Exceptional 12.1% |
Immigrants from Europe | 98.2 /100 | #59 | Exceptional 12.1% |
Immigrants from Australia | 98.1 /100 | #60 | Exceptional 12.2% |
Immigrants from Asia | 98.1 /100 | #61 | Exceptional 12.2% |
Immigrants from Italy | 98.0 /100 | #62 | Exceptional 12.2% |
Ukrainians | 98.0 /100 | #63 | Exceptional 12.2% |
Germans | 98.0 /100 | #64 | Exceptional 12.2% |
Indians (Asian) | 97.9 /100 | #65 | Exceptional 12.2% |
Austrians | 97.9 /100 | #66 | Exceptional 12.2% |
Immigrants from Eastern Asia | 97.8 /100 | #67 | Exceptional 12.2% |
Immigrants from Australia Female Poverty Correlation Summary
Measurement | Immigrants from Australia Data | Female Poverty Data |
Minimum | 0.030% | 0.92% |
Maximum | 13.7% | 48.6% |
Range | 13.7% | 47.6% |
Mean | 2.9% | 13.4% |
Median | 2.1% | 10.3% |
Interquartile 25% (IQ1) | 1.0% | 8.7% |
Interquartile 75% (IQ3) | 4.1% | 14.6% |
Interquartile Range (IQR) | 3.1% | 5.9% |
Standard Deviation (Sample) | 2.8% | 9.8% |
Standard Deviation (Population) | 2.8% | 9.7% |
Correlation Details
Immigrants from Australia Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.030% | 148,063,259 | 14.4% |
[ 0.0% - 0.5% ] 0.099% | 50,259,949 | 13.3% |
[ 0.0% - 0.5% ] 0.16% | 12,171,783 | 10.7% |
[ 0.0% - 0.5% ] 0.24% | 6,395,336 | 10.1% |
[ 0.0% - 0.5% ] 0.31% | 2,831,806 | 10.0% |
[ 0.0% - 0.5% ] 0.37% | 2,569,366 | 9.3% |
[ 0.0% - 0.5% ] 0.44% | 1,333,564 | 10.4% |
[ 0.5% - 1.0% ] 0.51% | 1,080,603 | 10.1% |
[ 0.5% - 1.0% ] 0.58% | 790,062 | 10.8% |
[ 0.5% - 1.0% ] 0.66% | 357,243 | 8.4% |
[ 0.5% - 1.0% ] 0.72% | 232,278 | 10.2% |
[ 0.5% - 1.0% ] 0.78% | 279,099 | 12.6% |
[ 0.5% - 1.0% ] 0.87% | 99,023 | 13.1% |
[ 0.5% - 1.0% ] 0.92% | 105,890 | 9.1% |
[ 0.5% - 1.0% ] 0.99% | 77,702 | 9.4% |
[ 1.0% - 1.5% ] 1.05% | 17,671 | 12.7% |
[ 1.0% - 1.5% ] 1.15% | 90,145 | 13.1% |
[ 1.0% - 1.5% ] 1.20% | 87,490 | 9.5% |
[ 1.0% - 1.5% ] 1.28% | 38,149 | 7.0% |
[ 1.0% - 1.5% ] 1.32% | 43,537 | 12.0% |
[ 1.0% - 1.5% ] 1.41% | 15,789 | 9.1% |
[ 1.5% - 2.0% ] 1.50% | 35,234 | 10.7% |
[ 1.5% - 2.0% ] 1.54% | 2,209 | 24.7% |
[ 1.5% - 2.0% ] 1.63% | 7,851 | 15.2% |
[ 1.5% - 2.0% ] 1.67% | 6,090 | 6.4% |
[ 1.5% - 2.0% ] 1.76% | 6,857 | 6.6% |
[ 1.5% - 2.0% ] 1.82% | 28,699 | 9.4% |
[ 1.5% - 2.0% ] 1.90% | 10,290 | 10.6% |
[ 1.5% - 2.0% ] 1.99% | 2,315 | 7.8% |
[ 2.0% - 2.5% ] 2.07% | 386 | 4.7% |
[ 2.0% - 2.5% ] 2.17% | 3,276 | 14.0% |
[ 2.0% - 2.5% ] 2.25% | 5,824 | 17.5% |
[ 2.0% - 2.5% ] 2.28% | 2,191 | 14.8% |
[ 2.0% - 2.5% ] 2.37% | 12,555 | 9.0% |
[ 2.0% - 2.5% ] 2.46% | 5,478 | 19.0% |
[ 2.5% - 3.0% ] 2.58% | 3,842 | 12.1% |
[ 2.5% - 3.0% ] 2.74% | 14,578 | 17.5% |
[ 2.5% - 3.0% ] 2.76% | 5,807 | 3.7% |
[ 2.5% - 3.0% ] 2.83% | 2,051 | 7.4% |
[ 2.5% - 3.0% ] 2.92% | 10,274 | 3.1% |
[ 2.5% - 3.0% ] 2.97% | 1,381 | 7.6% |
[ 3.0% - 3.5% ] 3.26% | 215 | 3.3% |
[ 3.5% - 4.0% ] 3.54% | 396 | 16.4% |
[ 3.5% - 4.0% ] 3.75% | 774 | 38.1% |
[ 3.5% - 4.0% ] 3.89% | 180 | 16.9% |
[ 4.0% - 4.5% ] 4.33% | 300 | 2.2% |
[ 4.0% - 4.5% ] 4.43% | 158 | 10.1% |
[ 4.0% - 4.5% ] 4.50% | 867 | 8.1% |
[ 4.5% - 5.0% ] 4.62% | 1,537 | 7.2% |
[ 4.5% - 5.0% ] 4.72% | 635 | 0.92% |
[ 5.0% - 5.5% ] 5.16% | 581 | 13.4% |
[ 5.5% - 6.0% ] 5.52% | 326 | 9.0% |
[ 5.5% - 6.0% ] 5.81% | 155 | 21.5% |
[ 6.0% - 6.5% ] 6.14% | 277 | 45.7% |
[ 6.5% - 7.0% ] 6.51% | 614 | 27.7% |
[ 6.5% - 7.0% ] 6.88% | 800 | 10.1% |
[ 7.5% - 8.0% ] 7.80% | 1,307 | 22.3% |
[ 9.5% - 10.0% ] 9.73% | 565 | 9.6% |
[ 12.0% - 12.5% ] 12.33% | 73 | 48.6% |
[ 13.5% - 14.0% ] 13.73% | 102 | 44.6% |