Immigrants from Pakistan Male Poverty
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Immigrants from Pakistan
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Male Poverty
Immigrants from Pakistan Male Poverty
9.9%
POVERTY | MALES
88.9/ 100
METRIC RATING
41st/ 347
METRIC RANK
Immigrants from Pakistan Male Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 280,064,048 people shows a mild negative correlation between the proportion of Immigrants from Pakistan and poverty level among males in the United States with a correlation coefficient (R) of -0.340 and weighted average of 9.9%. On average, for every 1% (one percent) increase in Immigrants from Pakistan within a typical geography, there is a decrease of 0.45% in poverty level among males.
It is essential to understand that the correlation between the percentage of Immigrants from Pakistan and poverty level among males does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Pakistan influences an upward or downward trend in the level of poverty level among males within an area, or if Immigrants from Pakistan simply ended up residing in those areas with higher or lower levels of poverty level among males due to other factors.
Demographics Similar to Immigrants from Pakistan by Male Poverty
In terms of male poverty, the demographic groups most similar to Immigrants from Pakistan are Immigrants from Czechoslovakia (9.9%, a difference of 0.010%), Immigrants from Korea (9.8%, a difference of 0.22%), Filipino (9.9%, a difference of 0.26%), Tongan (9.9%, a difference of 0.34%), and Belgian (9.9%, a difference of 0.47%).
| Demographics | Rating | Rank | Male Poverty |
| Immigrants from Northern Europe | 89.7 /100 | #34 | Excellent 9.7% |
| Luxembourgers | 89.6 /100 | #35 | Excellent 9.8% |
| Austrians | 89.5 /100 | #36 | Excellent 9.8% |
| Danes | 89.4 /100 | #37 | Excellent 9.8% |
| Russians | 89.3 /100 | #38 | Excellent 9.8% |
| Pakistanis | 89.2 /100 | #39 | Excellent 9.8% |
| Immigrants from Korea | 89.0 /100 | #40 | Excellent 9.8% |
| Immigrants from Pakistan | 88.9 /100 | #41 | Excellent 9.9% |
| Immigrants from Czechoslovakia | 88.9 /100 | #42 | Excellent 9.9% |
| Filipinos | 88.7 /100 | #43 | Excellent 9.9% |
| Tongans | 88.6 /100 | #44 | Excellent 9.9% |
| Belgians | 88.6 /100 | #45 | Excellent 9.9% |
| Immigrants from Iran | 88.5 /100 | #46 | Excellent 9.9% |
| Immigrants from Serbia | 88.4 /100 | #47 | Excellent 9.9% |
| Scandinavians | 88.4 /100 | #48 | Excellent 9.9% |
Immigrants from Pakistan Male Poverty Correlation Summary
| Measurement | Immigrants from Pakistan Data | Male Poverty Data |
| Minimum | 0.045% | 1.7% |
| Maximum | 12.3% | 17.5% |
| Range | 12.2% | 15.8% |
| Mean | 3.0% | 8.6% |
| Median | 2.7% | 8.3% |
| Interquartile 25% (IQ1) | 1.3% | 6.3% |
| Interquartile 75% (IQ3) | 4.2% | 10.2% |
| Interquartile Range (IQR) | 2.9% | 3.9% |
| Standard Deviation (Sample) | 2.3% | 3.0% |
| Standard Deviation (Population) | 2.3% | 3.0% |
Correlation Details
| Immigrants from Pakistan Percentile | Sample Size | Male Poverty |
[ 0.0% - 0.5% ] 0.045% | 124,254,081 | 13.1% |
[ 0.0% - 0.5% ] 0.13% | 52,584,253 | 11.2% |
[ 0.0% - 0.5% ] 0.23% | 29,993,832 | 10.6% |
[ 0.0% - 0.5% ] 0.32% | 18,708,972 | 10.4% |
[ 0.0% - 0.5% ] 0.42% | 19,465,670 | 11.7% |
[ 0.5% - 1.0% ] 0.51% | 7,011,057 | 8.2% |
[ 0.5% - 1.0% ] 0.60% | 4,468,719 | 8.9% |
[ 0.5% - 1.0% ] 0.70% | 4,210,928 | 7.3% |
[ 0.5% - 1.0% ] 0.78% | 3,006,244 | 9.8% |
[ 0.5% - 1.0% ] 0.87% | 2,259,253 | 7.6% |
[ 0.5% - 1.0% ] 0.96% | 2,152,166 | 8.2% |
[ 1.0% - 1.5% ] 1.07% | 1,684,515 | 9.2% |
[ 1.0% - 1.5% ] 1.16% | 1,418,630 | 9.7% |
[ 1.0% - 1.5% ] 1.25% | 1,247,456 | 7.7% |
[ 1.0% - 1.5% ] 1.34% | 1,131,259 | 8.1% |
[ 1.0% - 1.5% ] 1.44% | 944,712 | 6.3% |
[ 1.5% - 2.0% ] 1.51% | 604,104 | 7.3% |
[ 1.5% - 2.0% ] 1.62% | 676,044 | 7.3% |
[ 1.5% - 2.0% ] 1.71% | 312,300 | 7.1% |
[ 1.5% - 2.0% ] 1.79% | 540,492 | 8.6% |
[ 1.5% - 2.0% ] 1.91% | 323,204 | 10.5% |
[ 1.5% - 2.0% ] 1.98% | 520,812 | 9.9% |
[ 2.0% - 2.5% ] 2.07% | 198,564 | 13.1% |
[ 2.0% - 2.5% ] 2.17% | 175,604 | 9.8% |
[ 2.0% - 2.5% ] 2.25% | 139,988 | 8.1% |
[ 2.0% - 2.5% ] 2.36% | 206,996 | 9.5% |
[ 2.0% - 2.5% ] 2.45% | 84,452 | 8.0% |
[ 2.5% - 3.0% ] 2.54% | 98,505 | 5.8% |
[ 2.5% - 3.0% ] 2.64% | 164,063 | 9.4% |
[ 2.5% - 3.0% ] 2.74% | 94,391 | 6.1% |
[ 2.5% - 3.0% ] 2.80% | 90,127 | 8.3% |
[ 2.5% - 3.0% ] 2.89% | 93,679 | 11.5% |
[ 3.0% - 3.5% ] 3.00% | 142,024 | 6.6% |
[ 3.0% - 3.5% ] 3.10% | 111,201 | 13.3% |
[ 3.0% - 3.5% ] 3.18% | 34,453 | 8.6% |
[ 3.0% - 3.5% ] 3.32% | 14,831 | 9.7% |
[ 3.0% - 3.5% ] 3.35% | 235,158 | 13.4% |
[ 3.0% - 3.5% ] 3.45% | 43,729 | 17.5% |
[ 3.5% - 4.0% ] 3.56% | 51,503 | 9.6% |
[ 3.5% - 4.0% ] 3.62% | 30,129 | 3.9% |
[ 3.5% - 4.0% ] 3.72% | 1,938 | 4.6% |
[ 3.5% - 4.0% ] 3.86% | 18,953 | 5.9% |
[ 3.5% - 4.0% ] 3.92% | 13,148 | 5.0% |
[ 4.0% - 4.5% ] 4.02% | 115,917 | 5.1% |
[ 4.0% - 4.5% ] 4.21% | 52,694 | 14.7% |
[ 4.0% - 4.5% ] 4.32% | 11,235 | 8.6% |
[ 4.0% - 4.5% ] 4.35% | 75,745 | 6.9% |
[ 4.5% - 5.0% ] 4.56% | 5,612 | 9.5% |
[ 4.5% - 5.0% ] 4.67% | 50,822 | 4.1% |
[ 4.5% - 5.0% ] 4.75% | 11,133 | 12.5% |
[ 4.5% - 5.0% ] 4.95% | 788 | 10.2% |
[ 5.0% - 5.5% ] 5.07% | 8,706 | 13.0% |
[ 5.0% - 5.5% ] 5.17% | 31,488 | 5.7% |
[ 5.0% - 5.5% ] 5.25% | 105,358 | 4.8% |
[ 5.0% - 5.5% ] 5.44% | 23,899 | 5.6% |
[ 6.5% - 7.0% ] 6.57% | 1,552 | 5.6% |
[ 6.5% - 7.0% ] 6.80% | 2,500 | 1.7% |
[ 10.0% - 10.5% ] 10.18% | 2,328 | 8.2% |
[ 12.0% - 12.5% ] 12.29% | 2,132 | 3.2% |