Immigrants from Pakistan Child Poverty Among Girls Under 16
COMPARE
Immigrants from Pakistan
Select to Compare
Child Poverty Among Girls Under 16
Immigrants from Pakistan Child Poverty Among Girls Under 16
14.2%
POVERTY | GIRLS < 16
99.1/ 100
METRIC RATING
51st/ 347
METRIC RANK
Immigrants from Pakistan Child Poverty Among Girls Under 16 Correlation Chart
The statistical analysis conducted on geographies consisting of 280,243,418 people shows a moderate positive correlation between the proportion of Immigrants from Pakistan and poverty level among girls under the age of 16 in the United States with a correlation coefficient (R) of 0.407 and weighted average of 14.2%. On average, for every 1% (one percent) increase in Immigrants from Pakistan within a typical geography, there is an increase of 1.1% in poverty level among girls under the age of 16.
It is essential to understand that the correlation between the percentage of Immigrants from Pakistan and poverty level among girls under the age of 16 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 girls under the age of 16 within an area, or if Immigrants from Pakistan simply ended up residing in those areas with higher or lower levels of poverty level among girls under the age of 16 due to other factors.
Demographics Similar to Immigrants from Pakistan by Child Poverty Among Girls Under 16
In terms of child poverty among girls under 16, the demographic groups most similar to Immigrants from Pakistan are Italian (14.3%, a difference of 0.14%), Luxembourger (14.3%, a difference of 0.21%), Immigrants from Israel (14.2%, a difference of 0.55%), Greek (14.2%, a difference of 0.61%), and Estonian (14.3%, a difference of 0.64%).
Demographics | Rating | Rank | Child Poverty Among Girls Under 16 |
Immigrants from Asia | 99.4 /100 | #44 | Exceptional 14.1% |
Immigrants from Greece | 99.3 /100 | #45 | Exceptional 14.1% |
Croatians | 99.3 /100 | #46 | Exceptional 14.1% |
Immigrants from Czechoslovakia | 99.3 /100 | #47 | Exceptional 14.2% |
Czechs | 99.3 /100 | #48 | Exceptional 14.2% |
Greeks | 99.2 /100 | #49 | Exceptional 14.2% |
Immigrants from Israel | 99.2 /100 | #50 | Exceptional 14.2% |
Immigrants from Pakistan | 99.1 /100 | #51 | Exceptional 14.2% |
Italians | 99.1 /100 | #52 | Exceptional 14.3% |
Luxembourgers | 99.0 /100 | #53 | Exceptional 14.3% |
Estonians | 98.9 /100 | #54 | Exceptional 14.3% |
Immigrants from Romania | 98.9 /100 | #55 | Exceptional 14.3% |
Immigrants from Indonesia | 98.9 /100 | #56 | Exceptional 14.4% |
Immigrants from Serbia | 98.9 /100 | #57 | Exceptional 14.4% |
Immigrants from Bulgaria | 98.8 /100 | #58 | Exceptional 14.4% |
Immigrants from Pakistan Child Poverty Among Girls Under 16 Correlation Summary
Measurement | Immigrants from Pakistan Data | Child Poverty Among Girls Under 16 Data |
Minimum | 0.041% | 3.6% |
Maximum | 13.4% | 35.0% |
Range | 13.4% | 31.4% |
Mean | 3.0% | 14.6% |
Median | 2.6% | 13.6% |
Interquartile 25% (IQ1) | 1.3% | 10.8% |
Interquartile 75% (IQ3) | 3.8% | 17.2% |
Interquartile Range (IQR) | 2.6% | 6.3% |
Standard Deviation (Sample) | 2.4% | 6.5% |
Standard Deviation (Population) | 2.4% | 6.4% |
Correlation Details
Immigrants from Pakistan Percentile | Sample Size | Child Poverty Among Girls Under 16 |
[ 0.0% - 0.5% ] 0.041% | 111,374,700 | 18.7% |
[ 0.0% - 0.5% ] 0.12% | 55,539,601 | 15.8% |
[ 0.0% - 0.5% ] 0.20% | 33,391,947 | 16.1% |
[ 0.0% - 0.5% ] 0.29% | 19,509,086 | 15.4% |
[ 0.0% - 0.5% ] 0.37% | 11,153,049 | 12.0% |
[ 0.0% - 0.5% ] 0.44% | 17,046,405 | 17.7% |
[ 0.5% - 1.0% ] 0.53% | 5,627,098 | 12.0% |
[ 0.5% - 1.0% ] 0.61% | 4,137,081 | 13.6% |
[ 0.5% - 1.0% ] 0.69% | 3,226,306 | 10.0% |
[ 0.5% - 1.0% ] 0.77% | 2,750,733 | 13.4% |
[ 0.5% - 1.0% ] 0.86% | 2,073,821 | 10.1% |
[ 0.5% - 1.0% ] 0.92% | 2,965,254 | 12.9% |
[ 1.0% - 1.5% ] 1.02% | 1,686,019 | 12.7% |
[ 1.0% - 1.5% ] 1.10% | 778,877 | 16.6% |
[ 1.0% - 1.5% ] 1.19% | 973,406 | 13.1% |
[ 1.0% - 1.5% ] 1.26% | 1,280,693 | 11.9% |
[ 1.0% - 1.5% ] 1.35% | 606,199 | 10.8% |
[ 1.0% - 1.5% ] 1.43% | 478,199 | 14.3% |
[ 1.5% - 2.0% ] 1.51% | 635,467 | 6.6% |
[ 1.5% - 2.0% ] 1.59% | 460,451 | 7.0% |
[ 1.5% - 2.0% ] 1.67% | 478,556 | 9.1% |
[ 1.5% - 2.0% ] 1.76% | 230,518 | 13.9% |
[ 1.5% - 2.0% ] 1.83% | 394,625 | 7.8% |
[ 1.5% - 2.0% ] 1.91% | 189,154 | 17.2% |
[ 2.0% - 2.5% ] 2.01% | 118,135 | 13.6% |
[ 2.0% - 2.5% ] 2.09% | 152,482 | 9.9% |
[ 2.0% - 2.5% ] 2.17% | 383,391 | 15.3% |
[ 2.0% - 2.5% ] 2.24% | 349,643 | 20.6% |
[ 2.0% - 2.5% ] 2.33% | 125,651 | 8.7% |
[ 2.0% - 2.5% ] 2.42% | 206,771 | 16.3% |
[ 2.0% - 2.5% ] 2.50% | 247,431 | 14.9% |
[ 2.5% - 3.0% ] 2.57% | 73,701 | 12.6% |
[ 2.5% - 3.0% ] 2.66% | 76,816 | 19.5% |
[ 2.5% - 3.0% ] 2.72% | 90,805 | 11.8% |
[ 2.5% - 3.0% ] 2.83% | 98,682 | 7.8% |
[ 2.5% - 3.0% ] 2.89% | 163,977 | 16.9% |
[ 2.5% - 3.0% ] 2.97% | 38,862 | 16.0% |
[ 3.0% - 3.5% ] 3.04% | 129,420 | 14.8% |
[ 3.0% - 3.5% ] 3.16% | 62,599 | 10.9% |
[ 3.0% - 3.5% ] 3.23% | 32,104 | 16.0% |
[ 3.0% - 3.5% ] 3.32% | 35,831 | 14.0% |
[ 3.0% - 3.5% ] 3.36% | 119,397 | 11.3% |
[ 3.0% - 3.5% ] 3.46% | 109,978 | 20.6% |
[ 3.5% - 4.0% ] 3.55% | 14,631 | 17.7% |
[ 3.5% - 4.0% ] 3.61% | 63,183 | 9.1% |
[ 3.5% - 4.0% ] 3.70% | 83,816 | 21.6% |
[ 3.5% - 4.0% ] 3.78% | 123,078 | 4.0% |
[ 3.5% - 4.0% ] 3.85% | 9,567 | 25.3% |
[ 4.0% - 4.5% ] 4.08% | 4,265 | 15.0% |
[ 4.0% - 4.5% ] 4.10% | 31,609 | 5.1% |
[ 4.5% - 5.0% ] 4.60% | 50,245 | 26.9% |
[ 4.5% - 5.0% ] 4.70% | 11,504 | 19.6% |
[ 4.5% - 5.0% ] 4.88% | 17,793 | 11.1% |
[ 4.5% - 5.0% ] 4.98% | 91,618 | 3.6% |
[ 5.0% - 5.5% ] 5.32% | 30,553 | 5.8% |
[ 5.0% - 5.5% ] 5.43% | 13,010 | 11.5% |
[ 5.5% - 6.0% ] 5.66% | 10,566 | 12.5% |
[ 6.0% - 6.5% ] 6.24% | 945 | 29.7% |
[ 6.5% - 7.0% ] 6.64% | 76,600 | 5.9% |
[ 6.5% - 7.0% ] 6.70% | 1,374 | 27.6% |
[ 6.5% - 7.0% ] 6.99% | 143 | 35.0% |
[ 10.0% - 10.5% ] 10.08% | 5,803 | 28.3% |
[ 13.0% - 13.5% ] 13.40% | 194 | 26.3% |