Burmese Poverty
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Burmese
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Poverty
Burmese Poverty
10.7%
POVERTY
99.6/ 100
METRIC RATING
26th/ 347
METRIC RANK
Burmese Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 464,896,901 people shows a poor positive correlation between the proportion of Burmese and poverty level in the United States with a correlation coefficient (R) of 0.173 and weighted average of 10.7%. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.089% in poverty level.
It is essential to understand that the correlation between the percentage of Burmese and poverty level does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Burmese influences an upward or downward trend in the level of poverty level within an area, or if Burmese simply ended up residing in those areas with higher or lower levels of poverty level due to other factors.
Demographics Similar to Burmese by Poverty
In terms of poverty, the demographic groups most similar to Burmese are Croatian (10.6%, a difference of 0.31%), Immigrants from Northern Europe (10.7%, a difference of 0.36%), Immigrants from Korea (10.7%, a difference of 0.42%), Italian (10.6%, a difference of 0.50%), and Greek (10.7%, a difference of 0.52%).
| Demographics | Rating | Rank | Poverty |
| Immigrants from Scotland | 99.7 /100 | #19 | Exceptional 10.6% |
| Immigrants from North Macedonia | 99.7 /100 | #20 | Exceptional 10.6% |
| Luxembourgers | 99.7 /100 | #21 | Exceptional 10.6% |
| Eastern Europeans | 99.7 /100 | #22 | Exceptional 10.6% |
| Swedes | 99.7 /100 | #23 | Exceptional 10.6% |
| Italians | 99.7 /100 | #24 | Exceptional 10.6% |
| Croatians | 99.6 /100 | #25 | Exceptional 10.6% |
| Burmese | 99.6 /100 | #26 | Exceptional 10.7% |
| Immigrants from Northern Europe | 99.6 /100 | #27 | Exceptional 10.7% |
| Immigrants from Korea | 99.5 /100 | #28 | Exceptional 10.7% |
| Greeks | 99.5 /100 | #29 | Exceptional 10.7% |
| Danes | 99.5 /100 | #30 | Exceptional 10.7% |
| Poles | 99.5 /100 | #31 | Exceptional 10.7% |
| Iranians | 99.5 /100 | #32 | Exceptional 10.7% |
| Macedonians | 99.4 /100 | #33 | Exceptional 10.8% |
Burmese Poverty Correlation Summary
| Measurement | Burmese Data | Poverty Data |
| Minimum | 0.15% | 1.6% |
| Maximum | 62.3% | 37.7% |
| Range | 62.1% | 36.2% |
| Mean | 14.5% | 9.3% |
| Median | 12.0% | 8.4% |
| Interquartile 25% (IQ1) | 6.1% | 5.8% |
| Interquartile 75% (IQ3) | 19.7% | 10.8% |
| Interquartile Range (IQR) | 13.6% | 4.9% |
| Standard Deviation (Sample) | 11.9% | 6.2% |
| Standard Deviation (Population) | 11.9% | 6.1% |
Correlation Details
| Burmese Percentile | Sample Size | Poverty |
[ 0.0% - 0.5% ] 0.15% | 193,535,980 | 14.5% |
[ 0.0% - 0.5% ] 0.45% | 110,953,577 | 12.5% |
[ 0.5% - 1.0% ] 0.76% | 52,507,367 | 10.9% |
[ 1.0% - 1.5% ] 1.07% | 35,023,349 | 11.7% |
[ 1.0% - 1.5% ] 1.39% | 17,667,201 | 9.6% |
[ 1.5% - 2.0% ] 1.70% | 13,793,724 | 9.2% |
[ 2.0% - 2.5% ] 2.02% | 8,491,218 | 9.4% |
[ 2.0% - 2.5% ] 2.32% | 5,480,868 | 9.1% |
[ 2.5% - 3.0% ] 2.63% | 3,865,603 | 8.9% |
[ 2.5% - 3.0% ] 2.94% | 7,189,961 | 12.9% |
[ 3.0% - 3.5% ] 3.28% | 2,334,491 | 8.7% |
[ 3.5% - 4.0% ] 3.60% | 1,787,349 | 8.2% |
[ 3.5% - 4.0% ] 3.89% | 1,527,687 | 9.2% |
[ 4.0% - 4.5% ] 4.20% | 1,246,582 | 10.3% |
[ 4.5% - 5.0% ] 4.50% | 1,055,714 | 8.1% |
[ 4.5% - 5.0% ] 4.83% | 653,152 | 9.4% |
[ 5.0% - 5.5% ] 5.17% | 988,133 | 7.3% |
[ 5.0% - 5.5% ] 5.43% | 802,388 | 8.8% |
[ 5.5% - 6.0% ] 5.74% | 308,034 | 7.0% |
[ 6.0% - 6.5% ] 6.11% | 788,571 | 8.5% |
[ 6.0% - 6.5% ] 6.37% | 337,480 | 9.3% |
[ 6.5% - 7.0% ] 6.73% | 240,548 | 9.1% |
[ 6.5% - 7.0% ] 6.99% | 240,201 | 5.6% |
[ 7.0% - 7.5% ] 7.38% | 248,249 | 11.0% |
[ 7.5% - 8.0% ] 7.66% | 133,071 | 10.5% |
[ 7.5% - 8.0% ] 7.87% | 478,031 | 10.8% |
[ 8.0% - 8.5% ] 8.33% | 94,732 | 8.1% |
[ 8.5% - 9.0% ] 8.61% | 134,224 | 12.8% |
[ 8.5% - 9.0% ] 8.87% | 266,988 | 5.8% |
[ 9.0% - 9.5% ] 9.19% | 100,465 | 8.3% |
[ 9.5% - 10.0% ] 9.52% | 145,655 | 8.2% |
[ 9.5% - 10.0% ] 9.75% | 130,783 | 5.8% |
[ 10.0% - 10.5% ] 10.11% | 119,966 | 6.7% |
[ 10.0% - 10.5% ] 10.47% | 35,840 | 3.6% |
[ 10.5% - 11.0% ] 10.77% | 213,237 | 6.4% |
[ 11.0% - 11.5% ] 11.03% | 282,578 | 12.5% |
[ 11.0% - 11.5% ] 11.27% | 40,914 | 5.6% |
[ 11.5% - 12.0% ] 11.58% | 59,410 | 16.8% |
[ 11.5% - 12.0% ] 11.85% | 51,367 | 7.1% |
[ 12.0% - 12.5% ] 12.22% | 27,774 | 3.9% |
[ 12.5% - 13.0% ] 12.68% | 258,950 | 10.4% |
[ 13.0% - 13.5% ] 13.04% | 49,955 | 7.3% |
[ 13.0% - 13.5% ] 13.19% | 233,987 | 8.8% |
[ 13.5% - 14.0% ] 13.57% | 72,955 | 7.5% |
[ 13.5% - 14.0% ] 13.81% | 94,420 | 19.8% |
[ 14.0% - 14.5% ] 14.13% | 92 | 7.6% |
[ 14.0% - 14.5% ] 14.44% | 22,723 | 12.3% |
[ 14.5% - 15.0% ] 14.80% | 152,726 | 7.7% |
[ 15.0% - 15.5% ] 15.04% | 50,419 | 3.7% |
[ 15.0% - 15.5% ] 15.28% | 746 | 26.3% |
[ 15.5% - 16.0% ] 15.71% | 25,382 | 4.0% |
[ 16.0% - 16.5% ] 16.02% | 24,044 | 2.8% |
[ 16.0% - 16.5% ] 16.41% | 20,578 | 6.1% |
[ 16.5% - 17.0% ] 16.79% | 32,737 | 4.1% |
[ 17.0% - 17.5% ] 17.38% | 30,685 | 3.0% |
[ 17.5% - 18.0% ] 17.58% | 5,495 | 6.9% |
[ 18.0% - 18.5% ] 18.18% | 44 | 6.8% |
[ 18.5% - 19.0% ] 18.92% | 37 | 10.8% |
[ 19.5% - 20.0% ] 19.71% | 10,694 | 2.2% |
[ 20.0% - 20.5% ] 20.45% | 28,984 | 6.1% |
[ 21.0% - 21.5% ] 21.01% | 39,049 | 10.8% |
[ 22.0% - 22.5% ] 22.02% | 109 | 33.9% |
[ 22.0% - 22.5% ] 22.41% | 116 | 8.6% |
[ 23.0% - 23.5% ] 23.22% | 23,546 | 3.3% |
[ 23.0% - 23.5% ] 23.48% | 133,518 | 9.1% |
[ 23.5% - 24.0% ] 23.80% | 22,930 | 4.7% |
[ 24.5% - 25.0% ] 24.51% | 17,110 | 7.6% |
[ 24.5% - 25.0% ] 24.71% | 37,754 | 23.8% |
[ 25.5% - 26.0% ] 25.72% | 43,169 | 16.6% |
[ 26.0% - 26.5% ] 26.32% | 38 | 5.4% |
[ 27.0% - 27.5% ] 27.19% | 18,564 | 4.4% |
[ 27.0% - 27.5% ] 27.45% | 11,314 | 3.1% |
[ 31.5% - 32.0% ] 31.55% | 5,863 | 1.6% |
[ 38.5% - 39.0% ] 38.87% | 602 | 3.7% |
[ 39.5% - 40.0% ] 39.89% | 351 | 2.6% |
[ 46.0% - 46.5% ] 46.33% | 4,185 | 9.8% |
[ 53.5% - 54.0% ] 53.89% | 40,462 | 12.1% |
[ 62.0% - 62.5% ] 62.26% | 106 | 37.7% |