Filipino Single Female Poverty
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Single Female Poverty
Filipino Single Female Poverty
17.0%
POVERTY | SINGLE FEMALES
100.0/ 100
METRIC RATING
6th/ 347
METRIC RANK
Filipino Single Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 251,336,668 people shows a poor positive correlation between the proportion of Filipinos and poverty level among single females in the United States with a correlation coefficient (R) of 0.122 and weighted average of 17.0%. On average, for every 1% (one percent) increase in Filipinos within a typical geography, there is an increase of 0.46% in poverty level among single females.
It is essential to understand that the correlation between the percentage of Filipinos and poverty level among single 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 single females within an area, or if Filipinos simply ended up residing in those areas with higher or lower levels of poverty level among single females due to other factors.
Demographics Similar to Filipinos by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Filipinos are Assyrian/Chaldean/Syriac (17.0%, a difference of 0.20%), Immigrants from India (16.8%, a difference of 1.0%), Thai (17.3%, a difference of 1.7%), Immigrants from Iran (17.5%, a difference of 2.8%), and Immigrants from Hong Kong (16.5%, a difference of 2.8%).
| Demographics | Rating | Rank | Single Female Poverty |
| Chinese | 100.0 /100 | #1 | Exceptional 16.1% |
| Immigrants from Taiwan | 100.0 /100 | #2 | Exceptional 16.4% |
| Immigrants from Hong Kong | 100.0 /100 | #3 | Exceptional 16.5% |
| Immigrants from India | 100.0 /100 | #4 | Exceptional 16.8% |
| Assyrians/Chaldeans/Syriacs | 100.0 /100 | #5 | Exceptional 17.0% |
| Filipinos | 100.0 /100 | #6 | Exceptional 17.0% |
| Thais | 100.0 /100 | #7 | Exceptional 17.3% |
| Immigrants from Iran | 100.0 /100 | #8 | Exceptional 17.5% |
| Bhutanese | 100.0 /100 | #9 | Exceptional 17.7% |
| Immigrants from Ireland | 100.0 /100 | #10 | Exceptional 17.8% |
| Immigrants from Lithuania | 100.0 /100 | #11 | Exceptional 17.8% |
| Immigrants from South Central Asia | 100.0 /100 | #12 | Exceptional 17.8% |
| Immigrants from Bolivia | 100.0 /100 | #13 | Exceptional 17.8% |
| Bolivians | 100.0 /100 | #14 | Exceptional 17.9% |
| Indians (Asian) | 100.0 /100 | #15 | Exceptional 17.9% |
Filipino Single Female Poverty Correlation Summary
| Measurement | Filipino Data | Single Female Poverty Data |
| Minimum | 0.030% | 5.2% |
| Maximum | 7.1% | 43.4% |
| Range | 7.1% | 38.2% |
| Mean | 2.4% | 15.8% |
| Median | 2.1% | 14.3% |
| Interquartile 25% (IQ1) | 1.0% | 12.0% |
| Interquartile 75% (IQ3) | 3.5% | 17.1% |
| Interquartile Range (IQR) | 2.4% | 5.1% |
| Standard Deviation (Sample) | 1.8% | 6.7% |
| Standard Deviation (Population) | 1.8% | 6.7% |
Correlation Details
| Filipino Percentile | Sample Size | Single Female Poverty |
[ 0.0% - 0.5% ] 0.030% | 89,068,341 | 23.1% |
[ 0.0% - 0.5% ] 0.084% | 52,188,420 | 21.2% |
[ 0.0% - 0.5% ] 0.14% | 29,127,062 | 19.2% |
[ 0.0% - 0.5% ] 0.20% | 27,747,271 | 20.7% |
[ 0.0% - 0.5% ] 0.26% | 9,229,280 | 16.9% |
[ 0.0% - 0.5% ] 0.32% | 9,102,264 | 17.2% |
[ 0.0% - 0.5% ] 0.38% | 5,042,388 | 16.0% |
[ 0.0% - 0.5% ] 0.44% | 3,790,095 | 15.4% |
[ 0.0% - 0.5% ] 0.49% | 3,483,835 | 16.0% |
[ 0.5% - 1.0% ] 0.56% | 3,695,003 | 15.4% |
[ 0.5% - 1.0% ] 0.62% | 2,827,125 | 16.5% |
[ 0.5% - 1.0% ] 0.67% | 1,750,927 | 15.6% |
[ 0.5% - 1.0% ] 0.73% | 1,405,228 | 15.1% |
[ 0.5% - 1.0% ] 0.79% | 2,731,353 | 12.9% |
[ 0.5% - 1.0% ] 0.86% | 902,595 | 14.4% |
[ 0.5% - 1.0% ] 0.91% | 765,656 | 16.3% |
[ 0.5% - 1.0% ] 0.97% | 730,796 | 12.3% |
[ 1.0% - 1.5% ] 1.02% | 632,997 | 16.7% |
[ 1.0% - 1.5% ] 1.09% | 990,826 | 13.0% |
[ 1.0% - 1.5% ] 1.14% | 311,329 | 13.1% |
[ 1.0% - 1.5% ] 1.20% | 317,431 | 11.1% |
[ 1.0% - 1.5% ] 1.27% | 530,160 | 14.0% |
[ 1.0% - 1.5% ] 1.32% | 595,432 | 13.5% |
[ 1.0% - 1.5% ] 1.39% | 373,019 | 11.8% |
[ 1.0% - 1.5% ] 1.44% | 314,242 | 14.7% |
[ 1.0% - 1.5% ] 1.49% | 228,488 | 13.3% |
[ 1.5% - 2.0% ] 1.55% | 198,223 | 11.4% |
[ 1.5% - 2.0% ] 1.61% | 237,781 | 18.2% |
[ 1.5% - 2.0% ] 1.67% | 253,771 | 13.2% |
[ 1.5% - 2.0% ] 1.74% | 69,297 | 11.2% |
[ 1.5% - 2.0% ] 1.78% | 364,425 | 13.2% |
[ 1.5% - 2.0% ] 1.85% | 13,303 | 43.4% |
[ 1.5% - 2.0% ] 1.92% | 182,046 | 14.3% |
[ 1.5% - 2.0% ] 1.98% | 118,118 | 9.3% |
[ 2.0% - 2.5% ] 2.01% | 26,294 | 15.4% |
[ 2.0% - 2.5% ] 2.15% | 52,926 | 27.3% |
[ 2.0% - 2.5% ] 2.20% | 27,784 | 5.2% |
[ 2.0% - 2.5% ] 2.27% | 92,502 | 17.3% |
[ 2.0% - 2.5% ] 2.33% | 414,802 | 23.5% |
[ 2.0% - 2.5% ] 2.46% | 177,061 | 9.5% |
[ 2.5% - 3.0% ] 2.54% | 41,660 | 17.1% |
[ 2.5% - 3.0% ] 2.60% | 114,686 | 10.9% |
[ 2.5% - 3.0% ] 2.66% | 41,131 | 16.1% |
[ 2.5% - 3.0% ] 2.74% | 68,329 | 14.1% |
[ 2.5% - 3.0% ] 2.81% | 60,121 | 14.0% |
[ 2.5% - 3.0% ] 2.89% | 48,541 | 22.9% |
[ 3.0% - 3.5% ] 3.02% | 89,131 | 10.3% |
[ 3.0% - 3.5% ] 3.06% | 92,595 | 12.5% |
[ 3.0% - 3.5% ] 3.14% | 30,771 | 7.8% |
[ 3.0% - 3.5% ] 3.17% | 19,329 | 11.4% |
[ 3.0% - 3.5% ] 3.28% | 9,585 | 7.9% |
[ 3.0% - 3.5% ] 3.32% | 31,335 | 11.5% |
[ 3.0% - 3.5% ] 3.47% | 259 | 12.5% |
[ 3.5% - 4.0% ] 3.54% | 24,041 | 21.0% |
[ 3.5% - 4.0% ] 3.68% | 54,534 | 12.9% |
[ 3.5% - 4.0% ] 3.88% | 53,464 | 12.0% |
[ 4.0% - 4.5% ] 4.01% | 89,154 | 12.7% |
[ 4.0% - 4.5% ] 4.22% | 31,986 | 11.3% |
[ 4.0% - 4.5% ] 4.34% | 61,110 | 24.0% |
[ 4.0% - 4.5% ] 4.36% | 28,212 | 7.4% |
[ 4.0% - 4.5% ] 4.42% | 41,377 | 8.6% |
[ 4.5% - 5.0% ] 4.59% | 47,209 | 11.5% |
[ 4.5% - 5.0% ] 4.96% | 2,240 | 15.4% |
[ 5.0% - 5.5% ] 5.09% | 57,536 | 14.4% |
[ 5.0% - 5.5% ] 5.35% | 56,948 | 13.8% |
[ 5.5% - 6.0% ] 5.51% | 744 | 40.0% |
[ 6.0% - 6.5% ] 6.02% | 1,280 | 15.4% |
[ 6.5% - 7.0% ] 6.57% | 4,463 | 37.2% |
[ 7.0% - 7.5% ] 7.03% | 12,559 | 20.0% |
[ 7.0% - 7.5% ] 7.10% | 12,442 | 20.0% |