Immigrants from Pakistan Female Poverty
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Immigrants from Pakistan
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Female Poverty
Immigrants from Pakistan Female Poverty
11.8%
POVERTY | FEMALES
99.4/ 100
METRIC RATING
36th/ 347
METRIC RANK
Immigrants from Pakistan Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 283,777,836 people shows a slight positive correlation between the proportion of Immigrants from Pakistan and poverty level among females in the United States with a correlation coefficient (R) of 0.071 and weighted average of 11.8%. On average, for every 1% (one percent) increase in Immigrants from Pakistan within a typical geography, there is an increase of 0.15% in poverty level among females.
It is essential to understand that the correlation between the percentage of Immigrants from Pakistan and poverty level among females 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 females within an area, or if Immigrants from Pakistan simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Immigrants from Pakistan by Female Poverty
In terms of female poverty, the demographic groups most similar to Immigrants from Pakistan are Immigrants from Greece (11.8%, a difference of 0.10%), Russian (11.8%, a difference of 0.11%), Immigrants from Iran (11.8%, a difference of 0.17%), Immigrants from Poland (11.8%, a difference of 0.32%), and Immigrants from Singapore (11.8%, a difference of 0.34%).
Demographics | Rating | Rank | Female Poverty |
Immigrants from North Macedonia | 99.6 /100 | #29 | Exceptional 11.7% |
Greeks | 99.5 /100 | #30 | Exceptional 11.7% |
Poles | 99.5 /100 | #31 | Exceptional 11.7% |
Danes | 99.5 /100 | #32 | Exceptional 11.7% |
Cypriots | 99.5 /100 | #33 | Exceptional 11.8% |
Immigrants from Singapore | 99.4 /100 | #34 | Exceptional 11.8% |
Immigrants from Iran | 99.4 /100 | #35 | Exceptional 11.8% |
Immigrants from Pakistan | 99.4 /100 | #36 | Exceptional 11.8% |
Immigrants from Greece | 99.3 /100 | #37 | Exceptional 11.8% |
Russians | 99.3 /100 | #38 | Exceptional 11.8% |
Immigrants from Poland | 99.3 /100 | #39 | Exceptional 11.8% |
Macedonians | 99.3 /100 | #40 | Exceptional 11.8% |
Czechs | 99.2 /100 | #41 | Exceptional 11.9% |
Immigrants from Moldova | 99.2 /100 | #42 | Exceptional 11.9% |
Koreans | 99.2 /100 | #43 | Exceptional 11.9% |
Immigrants from Pakistan Female Poverty Correlation Summary
Measurement | Immigrants from Pakistan Data | Female Poverty Data |
Minimum | 0.041% | 0.75% |
Maximum | 13.4% | 35.3% |
Range | 13.4% | 34.6% |
Mean | 3.4% | 11.0% |
Median | 2.8% | 10.5% |
Interquartile 25% (IQ1) | 1.4% | 8.1% |
Interquartile 75% (IQ3) | 4.7% | 13.4% |
Interquartile Range (IQR) | 3.3% | 5.3% |
Standard Deviation (Sample) | 2.8% | 5.7% |
Standard Deviation (Population) | 2.7% | 5.6% |
Correlation Details
Immigrants from Pakistan Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.041% | 111,852,194 | 15.4% |
[ 0.0% - 0.5% ] 0.12% | 56,119,388 | 13.3% |
[ 0.0% - 0.5% ] 0.20% | 33,821,465 | 13.5% |
[ 0.0% - 0.5% ] 0.29% | 19,871,905 | 12.9% |
[ 0.0% - 0.5% ] 0.37% | 11,368,199 | 10.7% |
[ 0.0% - 0.5% ] 0.44% | 17,252,742 | 14.5% |
[ 0.5% - 1.0% ] 0.53% | 5,839,067 | 10.0% |
[ 0.5% - 1.0% ] 0.61% | 4,261,593 | 11.3% |
[ 0.5% - 1.0% ] 0.69% | 3,431,642 | 8.3% |
[ 0.5% - 1.0% ] 0.77% | 2,836,711 | 11.3% |
[ 0.5% - 1.0% ] 0.86% | 2,142,758 | 9.0% |
[ 0.5% - 1.0% ] 0.92% | 3,028,492 | 10.5% |
[ 1.0% - 1.5% ] 1.02% | 1,733,786 | 10.5% |
[ 1.0% - 1.5% ] 1.10% | 836,684 | 12.7% |
[ 1.0% - 1.5% ] 1.19% | 984,346 | 11.4% |
[ 1.0% - 1.5% ] 1.26% | 1,342,300 | 9.2% |
[ 1.0% - 1.5% ] 1.35% | 678,326 | 9.5% |
[ 1.0% - 1.5% ] 1.43% | 517,882 | 11.1% |
[ 1.5% - 2.0% ] 1.51% | 657,050 | 8.0% |
[ 1.5% - 2.0% ] 1.59% | 474,246 | 7.0% |
[ 1.5% - 2.0% ] 1.67% | 505,976 | 8.0% |
[ 1.5% - 2.0% ] 1.76% | 242,728 | 9.6% |
[ 1.5% - 2.0% ] 1.83% | 413,327 | 7.4% |
[ 1.5% - 2.0% ] 1.91% | 195,966 | 12.3% |
[ 2.0% - 2.5% ] 2.01% | 123,228 | 10.4% |
[ 2.0% - 2.5% ] 2.09% | 157,869 | 8.4% |
[ 2.0% - 2.5% ] 2.17% | 386,225 | 13.0% |
[ 2.0% - 2.5% ] 2.24% | 363,594 | 14.6% |
[ 2.0% - 2.5% ] 2.33% | 135,957 | 8.2% |
[ 2.0% - 2.5% ] 2.42% | 206,771 | 13.5% |
[ 2.0% - 2.5% ] 2.50% | 254,522 | 10.2% |
[ 2.5% - 3.0% ] 2.57% | 73,701 | 9.4% |
[ 2.5% - 3.0% ] 2.66% | 76,816 | 16.5% |
[ 2.5% - 3.0% ] 2.72% | 99,561 | 13.1% |
[ 2.5% - 3.0% ] 2.83% | 99,677 | 6.5% |
[ 2.5% - 3.0% ] 2.89% | 178,062 | 11.9% |
[ 2.5% - 3.0% ] 2.97% | 38,862 | 12.1% |
[ 3.0% - 3.5% ] 3.04% | 129,420 | 10.9% |
[ 3.0% - 3.5% ] 3.16% | 67,044 | 6.5% |
[ 3.0% - 3.5% ] 3.23% | 32,104 | 8.6% |
[ 3.0% - 3.5% ] 3.32% | 36,559 | 9.5% |
[ 3.0% - 3.5% ] 3.36% | 134,107 | 8.4% |
[ 3.0% - 3.5% ] 3.46% | 109,978 | 17.1% |
[ 3.5% - 4.0% ] 3.56% | 18,357 | 14.9% |
[ 3.5% - 4.0% ] 3.61% | 63,183 | 7.9% |
[ 3.5% - 4.0% ] 3.70% | 86,647 | 13.4% |
[ 3.5% - 4.0% ] 3.78% | 123,078 | 4.5% |
[ 3.5% - 4.0% ] 3.85% | 9,567 | 19.5% |
[ 4.0% - 4.5% ] 4.08% | 4,265 | 14.9% |
[ 4.0% - 4.5% ] 4.10% | 31,609 | 7.7% |
[ 4.0% - 4.5% ] 4.48% | 1,406 | 1.6% |
[ 4.5% - 5.0% ] 4.60% | 50,245 | 18.3% |
[ 4.5% - 5.0% ] 4.70% | 12,209 | 14.3% |
[ 4.5% - 5.0% ] 4.88% | 17,793 | 10.0% |
[ 4.5% - 5.0% ] 4.97% | 95,920 | 4.1% |
[ 5.0% - 5.5% ] 5.32% | 30,553 | 8.8% |
[ 5.0% - 5.5% ] 5.43% | 13,010 | 10.6% |
[ 5.5% - 6.0% ] 5.66% | 10,990 | 9.8% |
[ 6.0% - 6.5% ] 6.24% | 945 | 35.3% |
[ 6.5% - 7.0% ] 6.64% | 76,600 | 6.1% |
[ 6.5% - 7.0% ] 6.70% | 1,374 | 20.2% |
[ 6.5% - 7.0% ] 6.80% | 3,296 | 0.75% |
[ 6.5% - 7.0% ] 6.99% | 143 | 15.5% |
[ 7.0% - 7.5% ] 7.07% | 2,533 | 2.4% |
[ 7.0% - 7.5% ] 7.46% | 3,002 | 0.79% |
[ 9.0% - 9.5% ] 9.18% | 2,135 | 1.3% |
[ 10.0% - 10.5% ] 10.08% | 5,803 | 24.3% |
[ 12.0% - 12.5% ] 12.08% | 149 | 3.1% |
[ 13.0% - 13.5% ] 13.40% | 194 | 25.0% |