Afghan Female Poverty
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Afghan
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Female Poverty
Afghan Female Poverty
13.0%
POVERTY | FEMALES
79.8/ 100
METRIC RATING
144th/ 347
METRIC RANK
Afghan Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 148,814,784 people shows a weak positive correlation between the proportion of Afghans and poverty level among females in the United States with a correlation coefficient (R) of 0.275 and weighted average of 13.0%. On average, for every 1% (one percent) increase in Afghans within a typical geography, there is an increase of 0.79% in poverty level among females.
It is essential to understand that the correlation between the percentage of Afghans and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Afghans influences an upward or downward trend in the level of poverty level among females within an area, or if Afghans simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Afghans by Female Poverty
In terms of female poverty, the demographic groups most similar to Afghans are Syrian (13.0%, a difference of 0.030%), Immigrants from Malaysia (13.0%, a difference of 0.090%), Brazilian (13.0%, a difference of 0.11%), Immigrants from Peru (13.0%, a difference of 0.11%), and Immigrants from Kazakhstan (13.0%, a difference of 0.18%).
| Demographics | Rating | Rank | Female Poverty |
| Chileans | 84.7 /100 | #137 | Excellent 12.9% |
| Immigrants from France | 83.6 /100 | #138 | Excellent 12.9% |
| Basques | 83.1 /100 | #139 | Excellent 12.9% |
| Pakistanis | 83.0 /100 | #140 | Excellent 12.9% |
| Icelanders | 81.1 /100 | #141 | Excellent 13.0% |
| Brazilians | 80.5 /100 | #142 | Excellent 13.0% |
| Immigrants from Malaysia | 80.4 /100 | #143 | Excellent 13.0% |
| Afghans | 79.8 /100 | #144 | Good 13.0% |
| Syrians | 79.6 /100 | #145 | Good 13.0% |
| Immigrants from Peru | 79.1 /100 | #146 | Good 13.0% |
| Immigrants from Kazakhstan | 78.6 /100 | #147 | Good 13.0% |
| Yugoslavians | 76.9 /100 | #148 | Good 13.1% |
| Taiwanese | 75.7 /100 | #149 | Good 13.1% |
| Tsimshian | 75.5 /100 | #150 | Good 13.1% |
| Immigrants from Germany | 74.9 /100 | #151 | Good 13.1% |
Afghan Female Poverty Correlation Summary
| Measurement | Afghan Data | Female Poverty Data |
| Minimum | 0.028% | 4.3% |
| Maximum | 10.4% | 31.3% |
| Range | 10.4% | 27.0% |
| Mean | 2.4% | 13.2% |
| Median | 2.1% | 11.6% |
| Interquartile 25% (IQ1) | 0.99% | 9.5% |
| Interquartile 75% (IQ3) | 3.3% | 16.0% |
| Interquartile Range (IQR) | 2.3% | 6.5% |
| Standard Deviation (Sample) | 2.0% | 5.7% |
| Standard Deviation (Population) | 2.0% | 5.6% |
Correlation Details
| Afghan Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.028% | 72,296,461 | 15.6% |
[ 0.0% - 0.5% ] 0.085% | 30,298,126 | 15.0% |
[ 0.0% - 0.5% ] 0.14% | 11,219,000 | 13.7% |
[ 0.0% - 0.5% ] 0.20% | 8,351,608 | 13.6% |
[ 0.0% - 0.5% ] 0.26% | 3,526,270 | 10.4% |
[ 0.0% - 0.5% ] 0.31% | 3,165,092 | 11.6% |
[ 0.0% - 0.5% ] 0.37% | 2,173,681 | 12.5% |
[ 0.0% - 0.5% ] 0.43% | 2,096,642 | 13.6% |
[ 0.0% - 0.5% ] 0.49% | 1,763,757 | 9.1% |
[ 0.5% - 1.0% ] 0.54% | 1,469,597 | 10.0% |
[ 0.5% - 1.0% ] 0.60% | 1,019,803 | 10.6% |
[ 0.5% - 1.0% ] 0.66% | 896,747 | 9.7% |
[ 0.5% - 1.0% ] 0.71% | 1,044,547 | 14.7% |
[ 0.5% - 1.0% ] 0.77% | 688,188 | 13.9% |
[ 0.5% - 1.0% ] 0.82% | 697,136 | 16.2% |
[ 0.5% - 1.0% ] 0.88% | 1,059,792 | 13.4% |
[ 0.5% - 1.0% ] 0.95% | 515,730 | 10.1% |
[ 0.5% - 1.0% ] 0.99% | 549,759 | 9.0% |
[ 1.0% - 1.5% ] 1.06% | 537,983 | 7.8% |
[ 1.0% - 1.5% ] 1.13% | 512,179 | 11.1% |
[ 1.0% - 1.5% ] 1.16% | 780,012 | 8.3% |
[ 1.0% - 1.5% ] 1.24% | 220,100 | 16.7% |
[ 1.0% - 1.5% ] 1.28% | 298,164 | 12.1% |
[ 1.0% - 1.5% ] 1.35% | 309,682 | 10.1% |
[ 1.0% - 1.5% ] 1.39% | 237,569 | 13.6% |
[ 1.0% - 1.5% ] 1.47% | 234,792 | 10.2% |
[ 1.5% - 2.0% ] 1.51% | 130,519 | 7.5% |
[ 1.5% - 2.0% ] 1.58% | 63,675 | 4.3% |
[ 1.5% - 2.0% ] 1.63% | 193,212 | 11.0% |
[ 1.5% - 2.0% ] 1.71% | 220,784 | 5.7% |
[ 1.5% - 2.0% ] 1.73% | 118,452 | 10.7% |
[ 1.5% - 2.0% ] 1.78% | 105,622 | 14.2% |
[ 1.5% - 2.0% ] 1.87% | 100,865 | 8.7% |
[ 1.5% - 2.0% ] 1.92% | 128,760 | 11.7% |
[ 1.5% - 2.0% ] 1.97% | 199,909 | 16.0% |
[ 2.0% - 2.5% ] 2.05% | 163,413 | 11.5% |
[ 2.0% - 2.5% ] 2.10% | 40,892 | 9.5% |
[ 2.0% - 2.5% ] 2.17% | 96,006 | 9.6% |
[ 2.0% - 2.5% ] 2.19% | 99,912 | 17.0% |
[ 2.0% - 2.5% ] 2.26% | 192,523 | 13.2% |
[ 2.0% - 2.5% ] 2.34% | 49,711 | 11.5% |
[ 2.0% - 2.5% ] 2.39% | 76,570 | 15.5% |
[ 2.0% - 2.5% ] 2.44% | 78,508 | 18.5% |
[ 2.5% - 3.0% ] 2.50% | 17,926 | 5.8% |
[ 2.5% - 3.0% ] 2.55% | 28,088 | 24.2% |
[ 2.5% - 3.0% ] 2.61% | 35,162 | 4.3% |
[ 2.5% - 3.0% ] 2.68% | 1,607 | 11.5% |
[ 2.5% - 3.0% ] 2.83% | 153,323 | 7.6% |
[ 2.5% - 3.0% ] 2.90% | 24,438 | 16.3% |
[ 2.5% - 3.0% ] 2.96% | 10,976 | 8.6% |
[ 2.5% - 3.0% ] 3.00% | 767 | 9.1% |
[ 3.0% - 3.5% ] 3.08% | 23,756 | 25.6% |
[ 3.0% - 3.5% ] 3.14% | 19,531 | 10.9% |
[ 3.0% - 3.5% ] 3.26% | 3,404 | 5.9% |
[ 3.0% - 3.5% ] 3.34% | 35,001 | 8.8% |
[ 3.0% - 3.5% ] 3.40% | 6,884 | 9.7% |
[ 3.0% - 3.5% ] 3.48% | 10,400 | 10.6% |
[ 3.5% - 4.0% ] 3.58% | 29,132 | 19.5% |
[ 3.5% - 4.0% ] 3.75% | 60,625 | 20.2% |
[ 3.5% - 4.0% ] 3.81% | 76,761 | 18.9% |
[ 3.5% - 4.0% ] 3.83% | 3,262 | 6.2% |
[ 4.0% - 4.5% ] 4.08% | 1,936 | 21.0% |
[ 4.0% - 4.5% ] 4.17% | 24,785 | 24.2% |
[ 4.0% - 4.5% ] 4.42% | 34,082 | 23.2% |
[ 4.5% - 5.0% ] 4.53% | 2,694 | 15.0% |
[ 4.5% - 5.0% ] 4.82% | 16,050 | 31.1% |
[ 5.5% - 6.0% ] 5.51% | 37,310 | 31.3% |
[ 5.5% - 6.0% ] 5.69% | 96,076 | 19.6% |
[ 8.0% - 8.5% ] 8.10% | 37,436 | 16.5% |
[ 8.5% - 9.0% ] 8.77% | 422 | 13.2% |
[ 10.0% - 10.5% ] 10.42% | 1,200 | 7.5% |