Immigrants from Burma/Myanmar Female Poverty Among 25-34 Year Olds
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Female Poverty Among 25-34 Year Olds
Immigrants from Burma/Myanmar Female Poverty Among 25-34 Year Olds
15.2%
POVERTY | FEMALES 25-34
0.3/ 100
METRIC RATING
257th/ 347
METRIC RANK
Immigrants from Burma/Myanmar Female Poverty Among 25-34 Year Olds Correlation Chart
The statistical analysis conducted on geographies consisting of 171,442,894 people shows a slight negative correlation between the proportion of Immigrants from Burma/Myanmar and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of -0.058 and weighted average of 15.2%. On average, for every 1% (one percent) increase in Immigrants from Burma/Myanmar within a typical geography, there is a decrease of 0.14% in poverty level among females between the ages 25 and 34.
It is essential to understand that the correlation between the percentage of Immigrants from Burma/Myanmar 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 Immigrants from Burma/Myanmar 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 Immigrants from Burma/Myanmar 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 Immigrants from Burma/Myanmar by Female Poverty Among 25-34 Year Olds
In terms of female poverty among 25-34 year olds, the demographic groups most similar to Immigrants from Burma/Myanmar are West Indian (15.2%, a difference of 0.020%), Immigrants from Laos (15.2%, a difference of 0.19%), Nepalese (15.2%, a difference of 0.25%), Immigrants from Cuba (15.2%, a difference of 0.28%), and Somali (15.1%, a difference of 0.58%).
| Demographics | Rating | Rank | Female Poverty Among 25-34 Year Olds |
| Immigrants from El Salvador | 0.5 /100 | #250 | Tragic 15.0% |
| Haitians | 0.5 /100 | #251 | Tragic 15.0% |
| Belizeans | 0.4 /100 | #252 | Tragic 15.1% |
| Immigrants from West Indies | 0.4 /100 | #253 | Tragic 15.1% |
| Somalis | 0.4 /100 | #254 | Tragic 15.1% |
| Immigrants from Laos | 0.3 /100 | #255 | Tragic 15.2% |
| West Indians | 0.3 /100 | #256 | Tragic 15.2% |
| Immigrants from Burma/Myanmar | 0.3 /100 | #257 | Tragic 15.2% |
| Nepalese | 0.2 /100 | #258 | Tragic 15.2% |
| Immigrants from Cuba | 0.2 /100 | #259 | Tragic 15.2% |
| Marshallese | 0.2 /100 | #260 | Tragic 15.3% |
| Liberians | 0.2 /100 | #261 | Tragic 15.3% |
| Immigrants from Belize | 0.2 /100 | #262 | Tragic 15.3% |
| Mexican American Indians | 0.2 /100 | #263 | Tragic 15.4% |
| Pennsylvania Germans | 0.1 /100 | #264 | Tragic 15.4% |
Immigrants from Burma/Myanmar Female Poverty Among 25-34 Year Olds Correlation Summary
| Measurement | Immigrants from Burma/Myanmar Data | Female Poverty Among 25-34 Year Olds Data |
| Minimum | 0.038% | 2.6% |
| Maximum | 17.4% | 39.0% |
| Range | 17.4% | 36.4% |
| Mean | 3.3% | 17.6% |
| Median | 2.6% | 16.0% |
| Interquartile 25% (IQ1) | 1.3% | 12.9% |
| Interquartile 75% (IQ3) | 4.1% | 19.4% |
| Interquartile Range (IQR) | 2.9% | 6.5% |
| Standard Deviation (Sample) | 3.2% | 7.7% |
| Standard Deviation (Population) | 3.1% | 7.6% |
Correlation Details
| Immigrants from Burma/Myanmar Percentile | Sample Size | Female Poverty Among 25-34 Year Olds |
[ 0.0% - 0.5% ] 0.038% | 109,670,285 | 14.1% |
[ 0.0% - 0.5% ] 0.12% | 27,798,164 | 12.9% |
[ 0.0% - 0.5% ] 0.22% | 10,533,187 | 12.9% |
[ 0.0% - 0.5% ] 0.30% | 4,315,214 | 13.0% |
[ 0.0% - 0.5% ] 0.38% | 3,328,554 | 11.2% |
[ 0.0% - 0.5% ] 0.48% | 2,349,619 | 17.3% |
[ 0.5% - 1.0% ] 0.58% | 2,454,198 | 17.0% |
[ 0.5% - 1.0% ] 0.65% | 1,503,732 | 12.2% |
[ 0.5% - 1.0% ] 0.73% | 1,321,408 | 12.1% |
[ 0.5% - 1.0% ] 0.84% | 1,118,936 | 16.8% |
[ 0.5% - 1.0% ] 0.92% | 623,452 | 15.9% |
[ 1.0% - 1.5% ] 1.00% | 592,676 | 14.6% |
[ 1.0% - 1.5% ] 1.08% | 1,349,306 | 15.7% |
[ 1.0% - 1.5% ] 1.17% | 419,756 | 12.6% |
[ 1.0% - 1.5% ] 1.26% | 430,973 | 16.7% |
[ 1.0% - 1.5% ] 1.34% | 211,750 | 16.0% |
[ 1.0% - 1.5% ] 1.43% | 401,675 | 16.8% |
[ 1.5% - 2.0% ] 1.51% | 307,176 | 19.4% |
[ 1.5% - 2.0% ] 1.63% | 385,199 | 16.7% |
[ 1.5% - 2.0% ] 1.69% | 182,155 | 15.1% |
[ 1.5% - 2.0% ] 1.79% | 181,526 | 13.5% |
[ 1.5% - 2.0% ] 1.86% | 430,770 | 18.9% |
[ 1.5% - 2.0% ] 1.97% | 19,626 | 7.5% |
[ 2.0% - 2.5% ] 2.06% | 256,522 | 8.7% |
[ 2.0% - 2.5% ] 2.13% | 35,419 | 32.7% |
[ 2.0% - 2.5% ] 2.22% | 49,885 | 18.4% |
[ 2.0% - 2.5% ] 2.29% | 12,866 | 33.1% |
[ 2.0% - 2.5% ] 2.37% | 51,767 | 16.8% |
[ 2.0% - 2.5% ] 2.48% | 132,627 | 19.7% |
[ 2.5% - 3.0% ] 2.55% | 126,252 | 19.3% |
[ 2.5% - 3.0% ] 2.63% | 48,939 | 15.5% |
[ 2.5% - 3.0% ] 2.74% | 85,513 | 14.1% |
[ 2.5% - 3.0% ] 2.81% | 33,467 | 15.9% |
[ 3.0% - 3.5% ] 3.03% | 24,684 | 28.0% |
[ 3.0% - 3.5% ] 3.10% | 94,089 | 31.6% |
[ 3.0% - 3.5% ] 3.19% | 24,971 | 11.1% |
[ 3.0% - 3.5% ] 3.27% | 31,976 | 7.6% |
[ 3.0% - 3.5% ] 3.35% | 13,421 | 19.2% |
[ 3.0% - 3.5% ] 3.47% | 57,936 | 20.6% |
[ 3.5% - 4.0% ] 3.52% | 6,074 | 39.0% |
[ 3.5% - 4.0% ] 3.65% | 3,126 | 29.5% |
[ 3.5% - 4.0% ] 3.70% | 23,980 | 23.5% |
[ 3.5% - 4.0% ] 3.81% | 57,662 | 16.5% |
[ 3.5% - 4.0% ] 3.88% | 15,899 | 18.5% |
[ 4.0% - 4.5% ] 4.12% | 25,699 | 38.4% |
[ 4.0% - 4.5% ] 4.21% | 23,879 | 12.0% |
[ 4.0% - 4.5% ] 4.31% | 81,015 | 27.1% |
[ 4.0% - 4.5% ] 4.48% | 2,029 | 2.6% |
[ 4.5% - 5.0% ] 4.69% | 14,553 | 17.7% |
[ 4.5% - 5.0% ] 4.78% | 2,219 | 12.4% |
[ 5.0% - 5.5% ] 5.33% | 37,834 | 21.2% |
[ 6.0% - 6.5% ] 6.45% | 19,501 | 28.7% |
[ 6.5% - 7.0% ] 6.88% | 19,613 | 29.6% |
[ 7.5% - 8.0% ] 7.81% | 39,082 | 8.5% |
[ 7.5% - 8.0% ] 7.92% | 56,794 | 14.7% |
[ 8.5% - 9.0% ] 8.70% | 1,035 | 8.9% |
[ 11.0% - 11.5% ] 11.17% | 403 | 16.0% |
[ 12.0% - 12.5% ] 12.20% | 738 | 14.3% |
[ 17.0% - 17.5% ] 17.43% | 2,088 | 6.0% |