Mongolian Single Female Poverty
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Mongolian
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Single Female Poverty
Mongolian Single Female Poverty
20.2%
POVERTY | SINGLE FEMALES
93.2/ 100
METRIC RATING
127th/ 347
METRIC RANK
Mongolian Single Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 139,671,707 people shows a poor positive correlation between the proportion of Mongolians and poverty level among single females in the United States with a correlation coefficient (R) of 0.114 and weighted average of 20.2%. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 1.1% in poverty level among single females.
It is essential to understand that the correlation between the percentage of Mongolians and poverty level among single females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Mongolians influences an upward or downward trend in the level of poverty level among single females within an area, or if Mongolians 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 Mongolians by Single Female Poverty
In terms of single female poverty, the demographic groups most similar to Mongolians are Serbian (20.1%, a difference of 0.020%), Immigrants from Spain (20.2%, a difference of 0.11%), Immigrants from South Africa (20.1%, a difference of 0.19%), Immigrants from Morocco (20.2%, a difference of 0.19%), and Immigrants from Hungary (20.2%, a difference of 0.21%).
| Demographics | Rating | Rank | Single Female Poverty |
| South Americans | 95.1 /100 | #120 | Exceptional 20.0% |
| Immigrants from Switzerland | 95.1 /100 | #121 | Exceptional 20.0% |
| Immigrants from South America | 95.0 /100 | #122 | Exceptional 20.0% |
| Brazilians | 94.4 /100 | #123 | Exceptional 20.1% |
| Immigrants from Chile | 94.3 /100 | #124 | Exceptional 20.1% |
| Immigrants from South Africa | 93.9 /100 | #125 | Exceptional 20.1% |
| Serbians | 93.3 /100 | #126 | Exceptional 20.1% |
| Mongolians | 93.2 /100 | #127 | Exceptional 20.2% |
| Immigrants from Spain | 92.7 /100 | #128 | Exceptional 20.2% |
| Immigrants from Morocco | 92.4 /100 | #129 | Exceptional 20.2% |
| Immigrants from Hungary | 92.3 /100 | #130 | Exceptional 20.2% |
| Pakistanis | 92.1 /100 | #131 | Exceptional 20.2% |
| Uruguayans | 92.1 /100 | #132 | Exceptional 20.2% |
| Immigrants from England | 91.9 /100 | #133 | Exceptional 20.2% |
| Immigrants from Venezuela | 91.5 /100 | #134 | Exceptional 20.2% |
Mongolian Single Female Poverty Correlation Summary
| Measurement | Mongolian Data | Single Female Poverty Data |
| Minimum | 0.014% | 3.5% |
| Maximum | 5.6% | 47.1% |
| Range | 5.6% | 43.6% |
| Mean | 1.0% | 19.9% |
| Median | 0.80% | 19.2% |
| Interquartile 25% (IQ1) | 0.40% | 12.8% |
| Interquartile 75% (IQ3) | 1.3% | 23.7% |
| Interquartile Range (IQR) | 0.85% | 10.9% |
| Standard Deviation (Sample) | 1.0% | 9.6% |
| Standard Deviation (Population) | 0.99% | 9.5% |
Correlation Details
| Mongolian Percentile | Sample Size | Single Female Poverty |
[ 0.0% - 0.5% ] 0.014% | 81,044,674 | 23.1% |
[ 0.0% - 0.5% ] 0.047% | 32,740,327 | 20.6% |
[ 0.0% - 0.5% ] 0.081% | 10,007,648 | 18.7% |
[ 0.0% - 0.5% ] 0.12% | 5,220,163 | 18.8% |
[ 0.0% - 0.5% ] 0.15% | 3,429,319 | 18.8% |
[ 0.0% - 0.5% ] 0.18% | 1,994,792 | 18.6% |
[ 0.0% - 0.5% ] 0.21% | 1,158,566 | 19.6% |
[ 0.0% - 0.5% ] 0.25% | 805,721 | 17.5% |
[ 0.0% - 0.5% ] 0.28% | 640,056 | 18.2% |
[ 0.0% - 0.5% ] 0.32% | 418,433 | 19.6% |
[ 0.0% - 0.5% ] 0.35% | 380,707 | 21.3% |
[ 0.0% - 0.5% ] 0.39% | 497,091 | 15.6% |
[ 0.0% - 0.5% ] 0.41% | 182,525 | 24.3% |
[ 0.0% - 0.5% ] 0.45% | 190,498 | 21.6% |
[ 0.0% - 0.5% ] 0.48% | 201,161 | 30.5% |
[ 0.5% - 1.0% ] 0.53% | 108,027 | 26.0% |
[ 0.5% - 1.0% ] 0.56% | 16,091 | 34.2% |
[ 0.5% - 1.0% ] 0.59% | 11,846 | 32.9% |
[ 0.5% - 1.0% ] 0.63% | 109,949 | 18.7% |
[ 0.5% - 1.0% ] 0.65% | 27,857 | 47.1% |
[ 0.5% - 1.0% ] 0.68% | 101,359 | 24.6% |
[ 0.5% - 1.0% ] 0.71% | 4,771 | 10.0% |
[ 0.5% - 1.0% ] 0.75% | 32,521 | 13.8% |
[ 0.5% - 1.0% ] 0.78% | 902 | 11.4% |
[ 0.5% - 1.0% ] 0.83% | 23,882 | 6.0% |
[ 0.5% - 1.0% ] 0.85% | 17,204 | 15.5% |
[ 0.5% - 1.0% ] 0.89% | 35,172 | 20.4% |
[ 0.5% - 1.0% ] 0.92% | 35,238 | 11.1% |
[ 0.5% - 1.0% ] 0.95% | 33,544 | 9.3% |
[ 0.5% - 1.0% ] 0.99% | 16,720 | 11.8% |
[ 1.0% - 1.5% ] 1.03% | 20,759 | 19.6% |
[ 1.0% - 1.5% ] 1.06% | 3,579 | 26.4% |
[ 1.0% - 1.5% ] 1.13% | 17,240 | 17.1% |
[ 1.0% - 1.5% ] 1.16% | 692 | 21.7% |
[ 1.0% - 1.5% ] 1.19% | 674 | 9.8% |
[ 1.0% - 1.5% ] 1.21% | 20,043 | 29.4% |
[ 1.0% - 1.5% ] 1.29% | 42,651 | 20.3% |
[ 1.0% - 1.5% ] 1.40% | 500 | 31.2% |
[ 1.0% - 1.5% ] 1.41% | 16,827 | 3.8% |
[ 1.5% - 2.0% ] 1.55% | 19,813 | 22.3% |
[ 1.5% - 2.0% ] 1.60% | 5,299 | 11.1% |
[ 1.5% - 2.0% ] 1.66% | 2,766 | 18.4% |
[ 1.5% - 2.0% ] 1.70% | 5,928 | 5.0% |
[ 2.0% - 2.5% ] 2.25% | 9,512 | 22.4% |
[ 2.0% - 2.5% ] 2.42% | 2,605 | 38.3% |
[ 3.0% - 3.5% ] 3.13% | 1,693 | 3.5% |
[ 3.0% - 3.5% ] 3.43% | 12,387 | 10.0% |
[ 5.5% - 6.0% ] 5.57% | 1,975 | 45.2% |