Australian Female Poverty
COMPARE
Australian
Select to Compare
Female Poverty
Australian Female Poverty
12.5%
POVERTY | FEMALES
95.2/ 100
METRIC RATING
97th/ 347
METRIC RANK
Australian Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 223,990,985 people shows a significant positive correlation between the proportion of Australians and poverty level among females in the United States with a correlation coefficient (R) of 0.643 and weighted average of 12.5%. On average, for every 1% (one percent) increase in Australians within a typical geography, there is an increase of 2.8% in poverty level among females.
It is essential to understand that the correlation between the percentage of Australians and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Australians influences an upward or downward trend in the level of poverty level among females within an area, or if Australians simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Australians by Female Poverty
In terms of female poverty, the demographic groups most similar to Australians are Native Hawaiian (12.5%, a difference of 0.020%), British (12.5%, a difference of 0.030%), Romanian (12.5%, a difference of 0.050%), Immigrants from South Africa (12.5%, a difference of 0.10%), and Immigrants from Indonesia (12.5%, a difference of 0.14%).
Demographics | Rating | Rank | Female Poverty |
Immigrants from Denmark | 95.8 /100 | #90 | Exceptional 12.4% |
Belgians | 95.8 /100 | #91 | Exceptional 12.4% |
Czechoslovakians | 95.7 /100 | #92 | Exceptional 12.4% |
Immigrants from Egypt | 95.5 /100 | #93 | Exceptional 12.5% |
Immigrants from Indonesia | 95.4 /100 | #94 | Exceptional 12.5% |
Immigrants from South Africa | 95.4 /100 | #95 | Exceptional 12.5% |
British | 95.2 /100 | #96 | Exceptional 12.5% |
Australians | 95.2 /100 | #97 | Exceptional 12.5% |
Native Hawaiians | 95.1 /100 | #98 | Exceptional 12.5% |
Romanians | 95.1 /100 | #99 | Exceptional 12.5% |
Immigrants from Latvia | 94.8 /100 | #100 | Exceptional 12.5% |
Tlingit-Haida | 94.8 /100 | #101 | Exceptional 12.5% |
Immigrants from China | 94.5 /100 | #102 | Exceptional 12.5% |
Slavs | 94.5 /100 | #103 | Exceptional 12.5% |
Palestinians | 94.3 /100 | #104 | Exceptional 12.5% |
Australian Female Poverty Correlation Summary
Measurement | Australian Data | Female Poverty Data |
Minimum | 0.037% | 0.92% |
Maximum | 18.3% | 78.1% |
Range | 18.2% | 77.2% |
Mean | 3.3% | 14.9% |
Median | 2.6% | 11.6% |
Interquartile 25% (IQ1) | 1.3% | 8.6% |
Interquartile 75% (IQ3) | 4.5% | 15.8% |
Interquartile Range (IQR) | 3.2% | 7.1% |
Standard Deviation (Sample) | 3.0% | 13.3% |
Standard Deviation (Population) | 3.0% | 13.2% |
Correlation Details
Australian Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.037% | 176,679,182 | 14.7% |
[ 0.0% - 0.5% ] 0.13% | 27,481,851 | 11.1% |
[ 0.0% - 0.5% ] 0.22% | 9,440,311 | 11.9% |
[ 0.0% - 0.5% ] 0.32% | 4,030,292 | 10.5% |
[ 0.0% - 0.5% ] 0.40% | 2,242,281 | 11.6% |
[ 0.5% - 1.0% ] 0.50% | 1,306,116 | 10.0% |
[ 0.5% - 1.0% ] 0.58% | 825,281 | 10.3% |
[ 0.5% - 1.0% ] 0.68% | 593,622 | 8.8% |
[ 0.5% - 1.0% ] 0.77% | 424,821 | 12.2% |
[ 0.5% - 1.0% ] 0.87% | 288,739 | 11.1% |
[ 0.5% - 1.0% ] 0.96% | 122,776 | 13.6% |
[ 1.0% - 1.5% ] 1.06% | 38,303 | 10.9% |
[ 1.0% - 1.5% ] 1.14% | 51,611 | 8.8% |
[ 1.0% - 1.5% ] 1.20% | 40,719 | 7.7% |
[ 1.0% - 1.5% ] 1.32% | 81,202 | 12.4% |
[ 1.0% - 1.5% ] 1.42% | 26,763 | 11.1% |
[ 1.5% - 2.0% ] 1.51% | 37,392 | 13.1% |
[ 1.5% - 2.0% ] 1.61% | 62,598 | 5.7% |
[ 1.5% - 2.0% ] 1.70% | 22,762 | 5.4% |
[ 1.5% - 2.0% ] 1.80% | 39,917 | 11.5% |
[ 1.5% - 2.0% ] 1.86% | 19,555 | 13.6% |
[ 1.5% - 2.0% ] 1.95% | 36,961 | 10.7% |
[ 2.0% - 2.5% ] 2.06% | 7,725 | 15.7% |
[ 2.0% - 2.5% ] 2.17% | 3,458 | 13.0% |
[ 2.0% - 2.5% ] 2.26% | 5,181 | 16.8% |
[ 2.0% - 2.5% ] 2.35% | 15,729 | 23.4% |
[ 2.0% - 2.5% ] 2.40% | 2,288 | 5.8% |
[ 2.0% - 2.5% ] 2.49% | 10,814 | 20.2% |
[ 2.5% - 3.0% ] 2.61% | 5,297 | 11.7% |
[ 2.5% - 3.0% ] 2.69% | 2,566 | 8.1% |
[ 2.5% - 3.0% ] 2.76% | 2,030 | 8.6% |
[ 2.5% - 3.0% ] 2.91% | 378 | 13.4% |
[ 2.5% - 3.0% ] 2.98% | 2,850 | 8.5% |
[ 3.0% - 3.5% ] 3.05% | 1,902 | 12.9% |
[ 3.0% - 3.5% ] 3.21% | 3,237 | 6.8% |
[ 3.0% - 3.5% ] 3.34% | 10,107 | 13.6% |
[ 3.0% - 3.5% ] 3.42% | 10,047 | 15.8% |
[ 3.5% - 4.0% ] 3.51% | 313 | 14.0% |
[ 3.5% - 4.0% ] 3.75% | 774 | 38.1% |
[ 3.5% - 4.0% ] 3.88% | 438 | 55.1% |
[ 3.5% - 4.0% ] 3.98% | 352 | 1.3% |
[ 4.0% - 4.5% ] 4.35% | 828 | 1.3% |
[ 4.0% - 4.5% ] 4.43% | 158 | 10.1% |
[ 4.0% - 4.5% ] 4.50% | 867 | 8.1% |
[ 4.5% - 5.0% ] 4.72% | 635 | 0.92% |
[ 4.5% - 5.0% ] 4.83% | 3,190 | 8.6% |
[ 5.0% - 5.5% ] 5.15% | 524 | 18.7% |
[ 5.0% - 5.5% ] 5.27% | 550 | 3.9% |
[ 5.0% - 5.5% ] 5.48% | 420 | 1.1% |
[ 5.5% - 6.0% ] 5.81% | 155 | 21.5% |
[ 6.0% - 6.5% ] 6.02% | 1,396 | 18.7% |
[ 6.0% - 6.5% ] 6.15% | 130 | 16.4% |
[ 6.0% - 6.5% ] 6.31% | 301 | 39.0% |
[ 6.5% - 7.0% ] 6.51% | 829 | 21.3% |
[ 6.5% - 7.0% ] 6.73% | 1,307 | 22.3% |
[ 7.5% - 8.0% ] 7.62% | 840 | 3.8% |
[ 12.0% - 12.5% ] 12.33% | 73 | 48.6% |
[ 18.0% - 18.5% ] 18.26% | 241 | 78.1% |