Mongolian Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Mongolian Female Poverty Among 25-34 Year Olds
12.8%
POVERTY | FEMALES 25-34
93.0/ 100
METRIC RATING
118th/ 347
METRIC RANK
Mongolian Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 139,569,877 people shows a weak positive correlation between the proportion of Mongolians and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.287 and weighted average of 12.8%. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 2.6% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Mongolians and poverty level among females between the ages 25 and 34 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 females between the ages 25 and 34 within an area, or if Mongolians simply ended up residing in those areas with higher or lower levels of poverty level among females between the ages 25 and 34 due to other factors.
Demographics Similar to Mongolians by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Mongolians are Immigrants from Kuwait (12.8%, a difference of 0.010%), Immigrants from Nepal (12.8%, a difference of 0.010%), Carpatho Rusyn (12.8%, a difference of 0.010%), Chilean (12.8%, a difference of 0.070%), and Romanian (12.8%, a difference of 0.080%).
Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
Danes | 93.9 /100 | #111 | Exceptional 12.8% |
Immigrants from Morocco | 93.9 /100 | #112 | Exceptional 12.8% |
Immigrants from Syria | 93.8 /100 | #113 | Exceptional 12.8% |
Immigrants from Southern Europe | 93.6 /100 | #114 | Exceptional 12.8% |
Immigrants from Brazil | 93.3 /100 | #115 | Exceptional 12.8% |
Chileans | 93.2 /100 | #116 | Exceptional 12.8% |
Immigrants from Kuwait | 93.1 /100 | #117 | Exceptional 12.8% |
Mongolians | 93.0 /100 | #118 | Exceptional 12.8% |
Immigrants from Nepal | 93.0 /100 | #119 | Exceptional 12.8% |
Carpatho Rusyns | 93.0 /100 | #120 | Exceptional 12.8% |
Romanians | 92.8 /100 | #121 | Exceptional 12.8% |
Immigrants from Western Asia | 92.7 /100 | #122 | Exceptional 12.8% |
Slovenes | 92.7 /100 | #123 | Exceptional 12.8% |
Immigrants from Netherlands | 92.0 /100 | #124 | Exceptional 12.8% |
Immigrants from Canada | 91.5 /100 | #125 | Exceptional 12.9% |
Mongolian Female Poverty Among 25-34 Year Olds Correlation Summary
Measurement | Mongolian Data | Female Poverty Among 25-34 Year Olds Data |
Minimum | 0.014% | 2.2% |
Maximum | 5.6% | 43.5% |
Range | 5.6% | 41.3% |
Mean | 1.1% | 14.9% |
Median | 0.80% | 12.7% |
Interquartile 25% (IQ1) | 0.40% | 7.8% |
Interquartile 75% (IQ3) | 1.3% | 16.7% |
Interquartile Range (IQR) | 0.87% | 8.9% |
Standard Deviation (Sample) | 1.1% | 10.0% |
Standard Deviation (Population) | 1.1% | 9.9% |
Correlation Details
Mongolian Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.014% | 81,062,084 | 14.4% |
[ 0.0% - 0.5% ] 0.047% | 32,676,293 | 12.7% |
[ 0.0% - 0.5% ] 0.081% | 10,039,436 | 11.7% |
[ 0.0% - 0.5% ] 0.12% | 5,136,881 | 12.3% |
[ 0.0% - 0.5% ] 0.15% | 3,475,407 | 12.2% |
[ 0.0% - 0.5% ] 0.18% | 1,942,347 | 10.7% |
[ 0.0% - 0.5% ] 0.21% | 1,149,496 | 13.7% |
[ 0.0% - 0.5% ] 0.25% | 829,619 | 11.9% |
[ 0.0% - 0.5% ] 0.28% | 632,398 | 10.2% |
[ 0.0% - 0.5% ] 0.32% | 427,942 | 14.3% |
[ 0.0% - 0.5% ] 0.35% | 396,887 | 15.0% |
[ 0.0% - 0.5% ] 0.39% | 502,102 | 8.5% |
[ 0.0% - 0.5% ] 0.41% | 204,898 | 15.4% |
[ 0.0% - 0.5% ] 0.45% | 178,266 | 7.7% |
[ 0.0% - 0.5% ] 0.48% | 211,378 | 15.7% |
[ 0.5% - 1.0% ] 0.53% | 94,408 | 19.9% |
[ 0.5% - 1.0% ] 0.56% | 10,925 | 6.1% |
[ 0.5% - 1.0% ] 0.59% | 13,931 | 7.3% |
[ 0.5% - 1.0% ] 0.63% | 112,164 | 15.9% |
[ 0.5% - 1.0% ] 0.65% | 27,857 | 11.3% |
[ 0.5% - 1.0% ] 0.68% | 101,359 | 15.5% |
[ 0.5% - 1.0% ] 0.71% | 6,028 | 6.7% |
[ 0.5% - 1.0% ] 0.75% | 34,626 | 7.3% |
[ 0.5% - 1.0% ] 0.78% | 902 | 20.8% |
[ 0.5% - 1.0% ] 0.83% | 28,357 | 6.2% |
[ 0.5% - 1.0% ] 0.86% | 16,255 | 12.1% |
[ 0.5% - 1.0% ] 0.89% | 35,172 | 14.7% |
[ 0.5% - 1.0% ] 0.93% | 15,667 | 23.4% |
[ 0.5% - 1.0% ] 0.96% | 7,923 | 17.5% |
[ 0.5% - 1.0% ] 0.99% | 16,720 | 8.1% |
[ 1.0% - 1.5% ] 1.03% | 20,759 | 13.3% |
[ 1.0% - 1.5% ] 1.06% | 3,579 | 5.1% |
[ 1.0% - 1.5% ] 1.13% | 17,240 | 7.9% |
[ 1.0% - 1.5% ] 1.20% | 5,068 | 6.6% |
[ 1.0% - 1.5% ] 1.21% | 20,043 | 39.0% |
[ 1.0% - 1.5% ] 1.25% | 19,182 | 13.3% |
[ 1.0% - 1.5% ] 1.29% | 19,501 | 28.7% |
[ 1.0% - 1.5% ] 1.40% | 500 | 35.7% |
[ 1.0% - 1.5% ] 1.42% | 25,117 | 2.3% |
[ 1.5% - 2.0% ] 1.55% | 19,813 | 19.4% |
[ 1.5% - 2.0% ] 1.66% | 2,766 | 43.5% |
[ 1.5% - 2.0% ] 1.70% | 5,928 | 7.7% |
[ 2.0% - 2.5% ] 2.42% | 2,605 | 18.1% |
[ 2.5% - 3.0% ] 2.75% | 545 | 41.2% |
[ 3.0% - 3.5% ] 3.13% | 1,693 | 12.6% |
[ 3.0% - 3.5% ] 3.43% | 12,387 | 4.2% |
[ 3.5% - 4.0% ] 3.86% | 3,448 | 2.2% |
[ 5.5% - 6.0% ] 5.57% | 1,975 | 37.1% |