Afghan Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Afghan Female Poverty Among 25-34 Year Olds
13.0%
POVERTY | FEMALES 25-34
85.8/ 100
METRIC RATING
134th/ 347
METRIC RANK
Afghan Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 147,945,661 people shows a significant positive correlation between the proportion of Afghans and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.619 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 2.8% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Afghans and poverty level among females between the ages 25 and 34 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 between the ages 25 and 34 within an area, or if Afghans simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.
Demographics Similar to Afghans by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Afghans are South African (13.0%, a difference of 0.020%), Immigrants from England (13.0%, a difference of 0.040%), Immigrants from Chile (13.1%, a difference of 0.20%), Brazilian (13.1%, a difference of 0.22%), and Austrian (13.1%, a difference of 0.34%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Czechs | 90.3 /100 | #127 | Exceptional 12.9% |
| Syrians | 90.2 /100 | #128 | Exceptional 12.9% |
| Immigrants from North America | 89.7 /100 | #129 | Excellent 12.9% |
| Immigrants from Uzbekistan | 89.6 /100 | #130 | Excellent 12.9% |
| Pakistanis | 88.4 /100 | #131 | Excellent 13.0% |
| Immigrants from Hungary | 88.3 /100 | #132 | Excellent 13.0% |
| Serbians | 87.6 /100 | #133 | Excellent 13.0% |
| Afghans | 85.8 /100 | #134 | Excellent 13.0% |
| South Africans | 85.7 /100 | #135 | Excellent 13.0% |
| Immigrants from England | 85.5 /100 | #136 | Excellent 13.0% |
| Immigrants from Chile | 84.6 /100 | #137 | Excellent 13.1% |
| Brazilians | 84.5 /100 | #138 | Excellent 13.1% |
| Austrians | 83.7 /100 | #139 | Excellent 13.1% |
| Immigrants from Iraq | 83.6 /100 | #140 | Excellent 13.1% |
| New Zealanders | 83.4 /100 | #141 | Excellent 13.1% |
Afghan Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Afghan Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.028% | 2.0% |
| Maximum | 8.8% | 50.9% |
| Range | 8.7% | 48.9% |
| Mean | 2.2% | 14.5% |
| Median | 1.9% | 13.6% |
| Interquartile 25% (IQ1) | 0.97% | 9.8% |
| Interquartile 75% (IQ3) | 3.0% | 17.2% |
| Interquartile Range (IQR) | 2.1% | 7.5% |
| Standard Deviation (Sample) | 1.7% | 7.9% |
| Standard Deviation (Population) | 1.7% | 7.8% |
Correlation Details
| Afghan Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.028% | 72,245,694 | 14.2% |
[ 0.0% - 0.5% ] 0.085% | 30,112,415 | 14.2% |
[ 0.0% - 0.5% ] 0.14% | 11,103,856 | 12.4% |
[ 0.0% - 0.5% ] 0.20% | 8,222,265 | 13.1% |
[ 0.0% - 0.5% ] 0.26% | 3,478,221 | 10.5% |
[ 0.0% - 0.5% ] 0.31% | 3,153,150 | 11.6% |
[ 0.0% - 0.5% ] 0.37% | 2,165,541 | 11.9% |
[ 0.0% - 0.5% ] 0.43% | 2,057,687 | 13.9% |
[ 0.0% - 0.5% ] 0.49% | 1,704,593 | 10.5% |
[ 0.5% - 1.0% ] 0.54% | 1,463,359 | 10.7% |
[ 0.5% - 1.0% ] 0.60% | 1,011,668 | 10.6% |
[ 0.5% - 1.0% ] 0.66% | 890,790 | 9.5% |
[ 0.5% - 1.0% ] 0.71% | 1,027,502 | 15.0% |
[ 0.5% - 1.0% ] 0.77% | 685,176 | 14.4% |
[ 0.5% - 1.0% ] 0.82% | 694,080 | 15.5% |
[ 0.5% - 1.0% ] 0.88% | 1,048,627 | 14.2% |
[ 0.5% - 1.0% ] 0.95% | 501,534 | 10.9% |
[ 0.5% - 1.0% ] 0.99% | 541,104 | 9.5% |
[ 1.0% - 1.5% ] 1.06% | 485,011 | 8.7% |
[ 1.0% - 1.5% ] 1.13% | 507,583 | 10.0% |
[ 1.0% - 1.5% ] 1.16% | 739,580 | 7.9% |
[ 1.0% - 1.5% ] 1.24% | 220,100 | 16.7% |
[ 1.0% - 1.5% ] 1.28% | 295,162 | 14.9% |
[ 1.0% - 1.5% ] 1.35% | 309,682 | 9.4% |
[ 1.0% - 1.5% ] 1.39% | 237,569 | 15.1% |
[ 1.0% - 1.5% ] 1.47% | 226,491 | 12.2% |
[ 1.5% - 2.0% ] 1.51% | 130,519 | 6.1% |
[ 1.5% - 2.0% ] 1.58% | 62,103 | 2.0% |
[ 1.5% - 2.0% ] 1.63% | 193,212 | 12.0% |
[ 1.5% - 2.0% ] 1.71% | 220,784 | 5.3% |
[ 1.5% - 2.0% ] 1.73% | 118,452 | 11.8% |
[ 1.5% - 2.0% ] 1.78% | 105,622 | 14.2% |
[ 1.5% - 2.0% ] 1.87% | 97,028 | 10.9% |
[ 1.5% - 2.0% ] 1.92% | 128,760 | 13.4% |
[ 1.5% - 2.0% ] 1.97% | 197,702 | 15.8% |
[ 2.0% - 2.5% ] 2.05% | 147,364 | 14.7% |
[ 2.0% - 2.5% ] 2.10% | 40,892 | 13.0% |
[ 2.0% - 2.5% ] 2.17% | 96,006 | 7.9% |
[ 2.0% - 2.5% ] 2.19% | 99,912 | 16.7% |
[ 2.0% - 2.5% ] 2.26% | 192,523 | 14.1% |
[ 2.0% - 2.5% ] 2.34% | 49,711 | 8.0% |
[ 2.0% - 2.5% ] 2.39% | 76,570 | 17.7% |
[ 2.0% - 2.5% ] 2.44% | 78,508 | 21.3% |
[ 2.5% - 3.0% ] 2.50% | 17,926 | 11.2% |
[ 2.5% - 3.0% ] 2.55% | 28,088 | 26.1% |
[ 2.5% - 3.0% ] 2.61% | 35,162 | 2.3% |
[ 2.5% - 3.0% ] 2.68% | 1,607 | 5.8% |
[ 2.5% - 3.0% ] 2.72% | 1,176 | 14.3% |
[ 2.5% - 3.0% ] 2.83% | 149,299 | 4.7% |
[ 2.5% - 3.0% ] 2.90% | 24,438 | 19.4% |
[ 2.5% - 3.0% ] 2.96% | 10,976 | 20.1% |
[ 3.0% - 3.5% ] 3.08% | 23,756 | 30.1% |
[ 3.0% - 3.5% ] 3.14% | 19,531 | 7.0% |
[ 3.0% - 3.5% ] 3.34% | 35,001 | 5.3% |
[ 3.0% - 3.5% ] 3.40% | 6,884 | 4.1% |
[ 3.0% - 3.5% ] 3.48% | 10,400 | 7.6% |
[ 3.5% - 4.0% ] 3.58% | 29,132 | 18.5% |
[ 3.5% - 4.0% ] 3.75% | 60,625 | 21.9% |
[ 3.5% - 4.0% ] 3.81% | 76,761 | 15.6% |
[ 4.0% - 4.5% ] 4.08% | 1,936 | 26.4% |
[ 4.0% - 4.5% ] 4.17% | 24,785 | 20.0% |
[ 4.0% - 4.5% ] 4.42% | 34,082 | 20.8% |
[ 4.5% - 5.0% ] 4.53% | 2,694 | 28.6% |
[ 4.5% - 5.0% ] 4.82% | 16,050 | 25.6% |
[ 5.5% - 6.0% ] 5.51% | 37,310 | 30.6% |
[ 5.5% - 6.0% ] 5.69% | 96,076 | 23.7% |
[ 8.0% - 8.5% ] 8.10% | 37,436 | 20.7% |
[ 8.5% - 9.0% ] 8.77% | 422 | 50.9% |