South African Female Poverty
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South African
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Female Poverty
South African Female Poverty
12.8%
POVERTY | FEMALES
88.4/ 100
METRIC RATING
127th/ 347
METRIC RANK
South African Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 182,540,648 people shows a significant positive correlation between the proportion of South Africans and poverty level among females in the United States with a correlation coefficient (R) of 0.636 and weighted average of 12.8%. On average, for every 1% (one percent) increase in South Africans within a typical geography, there is an increase of 0.78% in poverty level among females.
It is essential to understand that the correlation between the percentage of South Africans and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of South Africans influences an upward or downward trend in the level of poverty level among females within an area, or if South Africans simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to South Africans by Female Poverty
In terms of female poverty, the demographic groups most similar to South Africans are Immigrants from Belarus (12.8%, a difference of 0.040%), Immigrants from Ukraine (12.8%, a difference of 0.11%), Immigrants from Brazil (12.8%, a difference of 0.11%), Argentinean (12.8%, a difference of 0.18%), and Immigrants from Norway (12.8%, a difference of 0.23%).
| Demographics | Rating | Rank | Female Poverty |
| New Zealanders | 90.6 /100 | #120 | Exceptional 12.7% |
| Immigrants from Hungary | 90.3 /100 | #121 | Exceptional 12.7% |
| French Canadians | 90.2 /100 | #122 | Exceptional 12.7% |
| Immigrants from South Eastern Asia | 89.9 /100 | #123 | Excellent 12.7% |
| Immigrants from Norway | 89.3 /100 | #124 | Excellent 12.8% |
| Argentineans | 89.1 /100 | #125 | Excellent 12.8% |
| Immigrants from Ukraine | 88.8 /100 | #126 | Excellent 12.8% |
| South Africans | 88.4 /100 | #127 | Excellent 12.8% |
| Immigrants from Belarus | 88.2 /100 | #128 | Excellent 12.8% |
| Immigrants from Brazil | 87.9 /100 | #129 | Excellent 12.8% |
| Immigrants from Vietnam | 87.1 /100 | #130 | Excellent 12.8% |
| Immigrants from Argentina | 87.0 /100 | #131 | Excellent 12.8% |
| Immigrants from Jordan | 86.9 /100 | #132 | Excellent 12.8% |
| Immigrants from Western Europe | 86.6 /100 | #133 | Excellent 12.8% |
| Immigrants from Switzerland | 85.8 /100 | #134 | Excellent 12.9% |
South African Female Poverty Correlation Summary
| Measurement | South African Data | Female Poverty Data |
| Minimum | 0.053% | 2.6% |
| Maximum | 33.5% | 44.9% |
| Range | 33.5% | 42.4% |
| Mean | 5.3% | 10.8% |
| Median | 3.2% | 9.7% |
| Interquartile 25% (IQ1) | 1.6% | 5.3% |
| Interquartile 75% (IQ3) | 6.6% | 13.4% |
| Interquartile Range (IQR) | 4.9% | 8.1% |
| Standard Deviation (Sample) | 6.9% | 8.5% |
| Standard Deviation (Population) | 6.8% | 8.4% |
Correlation Details
| South African Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.053% | 173,889,208 | 14.2% |
[ 0.0% - 0.5% ] 0.36% | 5,948,791 | 11.1% |
[ 0.5% - 1.0% ] 0.66% | 1,544,507 | 9.8% |
[ 0.5% - 1.0% ] 0.95% | 542,061 | 9.7% |
[ 1.0% - 1.5% ] 1.18% | 170,744 | 10.5% |
[ 1.0% - 1.5% ] 1.50% | 149,118 | 8.0% |
[ 1.5% - 2.0% ] 1.77% | 69,689 | 8.9% |
[ 2.0% - 2.5% ] 2.04% | 58,268 | 14.4% |
[ 2.0% - 2.5% ] 2.20% | 22,238 | 14.7% |
[ 2.5% - 3.0% ] 2.59% | 32,668 | 11.5% |
[ 2.5% - 3.0% ] 2.86% | 21,111 | 8.6% |
[ 3.0% - 3.5% ] 3.08% | 38,114 | 3.8% |
[ 3.0% - 3.5% ] 3.37% | 4,717 | 12.6% |
[ 3.5% - 4.0% ] 3.73% | 9,890 | 10.7% |
[ 3.5% - 4.0% ] 3.84% | 26,498 | 5.0% |
[ 4.0% - 4.5% ] 4.34% | 4,450 | 6.5% |
[ 4.0% - 4.5% ] 4.46% | 3,541 | 4.1% |
[ 5.5% - 6.0% ] 5.84% | 377 | 19.0% |
[ 7.0% - 7.5% ] 7.33% | 1,638 | 16.6% |
[ 7.0% - 7.5% ] 7.38% | 1,625 | 3.3% |
[ 7.5% - 8.0% ] 7.69% | 65 | 3.6% |
[ 12.0% - 12.5% ] 12.18% | 985 | 2.6% |
[ 13.0% - 13.5% ] 13.37% | 172 | 5.6% |
[ 33.5% - 34.0% ] 33.53% | 173 | 44.9% |