Filipino Female Poverty
COMPARE
Filipino
Select to Compare
Female Poverty
Filipino Female Poverty
10.9%
POVERTY | FEMALES
100.0/ 100
METRIC RATING
5th/ 347
METRIC RANK
Filipino Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 254,106,597 people shows a poor negative correlation between the proportion of Filipinos and poverty level among females in the United States with a correlation coefficient (R) of -0.141 and weighted average of 10.9%. On average, for every 1% (one percent) increase in Filipinos within a typical geography, there is a decrease of 0.19% in poverty level among females.
It is essential to understand that the correlation between the percentage of Filipinos and poverty level among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Filipinos influences an upward or downward trend in the level of poverty level among females within an area, or if Filipinos simply ended up residing in those areas with higher or lower levels of poverty level among females due to other factors.
Demographics Similar to Filipinos by Female Poverty
In terms of female poverty, the demographic groups most similar to Filipinos are Immigrants from Ireland (11.0%, a difference of 0.38%), Assyrian/Chaldean/Syriac (11.0%, a difference of 0.75%), Immigrants from South Central Asia (11.1%, a difference of 1.5%), Bulgarian (11.1%, a difference of 1.7%), and Immigrants from Hong Kong (11.2%, a difference of 2.5%).
Demographics | Rating | Rank | Female Poverty |
Immigrants from India | 100.0 /100 | #1 | Exceptional 9.9% |
Chinese | 100.0 /100 | #2 | Exceptional 10.4% |
Thais | 100.0 /100 | #3 | Exceptional 10.5% |
Immigrants from Taiwan | 100.0 /100 | #4 | Exceptional 10.5% |
Filipinos | 100.0 /100 | #5 | Exceptional 10.9% |
Immigrants from Ireland | 99.9 /100 | #6 | Exceptional 11.0% |
Assyrians/Chaldeans/Syriacs | 99.9 /100 | #7 | Exceptional 11.0% |
Immigrants from South Central Asia | 99.9 /100 | #8 | Exceptional 11.1% |
Bulgarians | 99.9 /100 | #9 | Exceptional 11.1% |
Immigrants from Hong Kong | 99.9 /100 | #10 | Exceptional 11.2% |
Maltese | 99.9 /100 | #11 | Exceptional 11.2% |
Bhutanese | 99.9 /100 | #12 | Exceptional 11.3% |
Immigrants from Lithuania | 99.9 /100 | #13 | Exceptional 11.3% |
Lithuanians | 99.8 /100 | #14 | Exceptional 11.4% |
Latvians | 99.8 /100 | #15 | Exceptional 11.4% |
Filipino Female Poverty Correlation Summary
Measurement | Filipino Data | Female Poverty Data |
Minimum | 0.030% | 2.2% |
Maximum | 16.7% | 18.6% |
Range | 16.6% | 16.4% |
Mean | 2.8% | 8.5% |
Median | 2.4% | 8.9% |
Interquartile 25% (IQ1) | 1.1% | 5.7% |
Interquartile 75% (IQ3) | 3.7% | 10.2% |
Interquartile Range (IQR) | 2.5% | 4.4% |
Standard Deviation (Sample) | 2.4% | 3.3% |
Standard Deviation (Population) | 2.4% | 3.2% |
Correlation Details
Filipino Percentile | Sample Size | Female Poverty |
[ 0.0% - 0.5% ] 0.030% | 89,235,154 | 15.4% |
[ 0.0% - 0.5% ] 0.084% | 52,549,950 | 14.0% |
[ 0.0% - 0.5% ] 0.14% | 29,481,914 | 12.4% |
[ 0.0% - 0.5% ] 0.20% | 28,058,547 | 14.5% |
[ 0.0% - 0.5% ] 0.26% | 9,437,777 | 10.8% |
[ 0.0% - 0.5% ] 0.32% | 9,267,591 | 11.4% |
[ 0.0% - 0.5% ] 0.38% | 5,188,539 | 10.0% |
[ 0.0% - 0.5% ] 0.44% | 3,870,601 | 9.9% |
[ 0.0% - 0.5% ] 0.49% | 3,595,405 | 9.4% |
[ 0.5% - 1.0% ] 0.56% | 3,789,916 | 10.1% |
[ 0.5% - 1.0% ] 0.62% | 2,904,802 | 11.0% |
[ 0.5% - 1.0% ] 0.67% | 1,791,860 | 9.7% |
[ 0.5% - 1.0% ] 0.73% | 1,483,098 | 9.9% |
[ 0.5% - 1.0% ] 0.79% | 2,780,886 | 9.1% |
[ 0.5% - 1.0% ] 0.86% | 1,011,263 | 8.8% |
[ 0.5% - 1.0% ] 0.91% | 781,790 | 9.5% |
[ 0.5% - 1.0% ] 0.97% | 769,168 | 7.3% |
[ 1.0% - 1.5% ] 1.02% | 650,159 | 11.3% |
[ 1.0% - 1.5% ] 1.09% | 1,014,142 | 8.7% |
[ 1.0% - 1.5% ] 1.14% | 324,915 | 6.2% |
[ 1.0% - 1.5% ] 1.20% | 352,639 | 6.1% |
[ 1.0% - 1.5% ] 1.27% | 552,938 | 9.6% |
[ 1.0% - 1.5% ] 1.32% | 619,671 | 6.8% |
[ 1.0% - 1.5% ] 1.39% | 394,107 | 9.1% |
[ 1.0% - 1.5% ] 1.44% | 324,330 | 10.2% |
[ 1.0% - 1.5% ] 1.49% | 250,193 | 9.7% |
[ 1.5% - 2.0% ] 1.55% | 216,770 | 7.7% |
[ 1.5% - 2.0% ] 1.61% | 254,886 | 12.5% |
[ 1.5% - 2.0% ] 1.67% | 253,771 | 9.0% |
[ 1.5% - 2.0% ] 1.74% | 72,273 | 4.7% |
[ 1.5% - 2.0% ] 1.78% | 367,033 | 9.5% |
[ 1.5% - 2.0% ] 1.92% | 183,192 | 7.0% |
[ 1.5% - 2.0% ] 1.98% | 138,170 | 5.4% |
[ 2.0% - 2.5% ] 2.01% | 35,887 | 4.9% |
[ 2.0% - 2.5% ] 2.08% | 7,007 | 5.7% |
[ 2.0% - 2.5% ] 2.15% | 61,438 | 12.9% |
[ 2.0% - 2.5% ] 2.20% | 27,784 | 4.8% |
[ 2.0% - 2.5% ] 2.27% | 94,019 | 8.8% |
[ 2.0% - 2.5% ] 2.33% | 422,728 | 11.6% |
[ 2.0% - 2.5% ] 2.40% | 6,634 | 9.3% |
[ 2.0% - 2.5% ] 2.45% | 186,770 | 7.6% |
[ 2.5% - 3.0% ] 2.54% | 41,660 | 9.6% |
[ 2.5% - 3.0% ] 2.60% | 114,686 | 11.5% |
[ 2.5% - 3.0% ] 2.66% | 41,131 | 10.4% |
[ 2.5% - 3.0% ] 2.74% | 68,329 | 4.7% |
[ 2.5% - 3.0% ] 2.81% | 60,121 | 4.8% |
[ 2.5% - 3.0% ] 2.90% | 55,404 | 7.5% |
[ 2.5% - 3.0% ] 2.96% | 7,388 | 2.8% |
[ 3.0% - 3.5% ] 3.02% | 93,858 | 4.8% |
[ 3.0% - 3.5% ] 3.06% | 92,595 | 4.7% |
[ 3.0% - 3.5% ] 3.14% | 33,550 | 3.2% |
[ 3.0% - 3.5% ] 3.19% | 33,517 | 7.0% |
[ 3.0% - 3.5% ] 3.28% | 10,685 | 4.3% |
[ 3.0% - 3.5% ] 3.32% | 37,925 | 6.8% |
[ 3.0% - 3.5% ] 3.40% | 206 | 2.2% |
[ 3.0% - 3.5% ] 3.47% | 259 | 5.6% |
[ 3.5% - 4.0% ] 3.54% | 24,041 | 13.2% |
[ 3.5% - 4.0% ] 3.63% | 1,131 | 4.6% |
[ 3.5% - 4.0% ] 3.68% | 54,534 | 8.8% |
[ 3.5% - 4.0% ] 3.88% | 53,464 | 4.5% |
[ 4.0% - 4.5% ] 4.01% | 89,154 | 10.5% |
[ 4.0% - 4.5% ] 4.22% | 31,986 | 8.5% |
[ 4.0% - 4.5% ] 4.34% | 65,274 | 15.6% |
[ 4.0% - 4.5% ] 4.36% | 28,212 | 8.5% |
[ 4.0% - 4.5% ] 4.41% | 54,484 | 6.0% |
[ 4.5% - 5.0% ] 4.59% | 47,209 | 10.6% |
[ 4.5% - 5.0% ] 4.85% | 783 | 3.8% |
[ 4.5% - 5.0% ] 4.96% | 2,240 | 8.4% |
[ 5.0% - 5.5% ] 5.09% | 57,536 | 10.6% |
[ 5.0% - 5.5% ] 5.35% | 56,948 | 8.9% |
[ 5.5% - 6.0% ] 5.51% | 744 | 9.4% |
[ 5.5% - 6.0% ] 5.74% | 7,280 | 3.8% |
[ 6.0% - 6.5% ] 6.02% | 1,280 | 5.5% |
[ 6.5% - 7.0% ] 6.60% | 3,639 | 3.2% |
[ 7.0% - 7.5% ] 7.03% | 12,559 | 10.0% |
[ 7.0% - 7.5% ] 7.10% | 12,442 | 9.9% |
[ 7.0% - 7.5% ] 7.43% | 404 | 18.6% |
[ 16.5% - 17.0% ] 16.67% | 222 | 8.6% |