Burmese vs Ute Wage/Income Gap
COMPARE
Burmese
Ute
Wage/Income Gap
Wage/Income Gap Comparison
Burmese
Ute
28.0%
WAGE/INCOME GAP
0.5/ 100
METRIC RATING
281st/ 347
METRIC RANK
27.8%
WAGE/INCOME GAP
0.8/ 100
METRIC RATING
271st/ 347
METRIC RANK
Burmese vs Ute Wage/Income Gap Correlation Chart
The statistical analysis conducted on geographies consisting of 464,918,136 people shows a poor positive correlation between the proportion of Burmese and wage/income gap percentage in the United States with a correlation coefficient (R) of 0.187 and weighted average of 28.0%. Similarly, the statistical analysis conducted on geographies consisting of 55,649,950 people shows a weak negative correlation between the proportion of Ute and wage/income gap percentage in the United States with a correlation coefficient (R) of -0.297 and weighted average of 27.8%, a difference of 0.85%.
Wage/Income Gap Correlation Summary
| Measurement | Burmese | Ute |
| Minimum | 7.4% | 11.0% |
| Maximum | 62.7% | 77.0% |
| Range | 55.3% | 66.0% |
| Mean | 31.9% | 38.1% |
| Median | 31.2% | 30.6% |
| Interquartile 25% (IQ1) | 26.1% | 18.6% |
| Interquartile 75% (IQ3) | 36.1% | 53.5% |
| Interquartile Range (IQR) | 10.0% | 34.9% |
| Standard Deviation (Sample) | 9.5% | 20.6% |
| Standard Deviation (Population) | 9.5% | 20.1% |
Demographics Similar to Burmese and Ute by Wage/Income Gap
In terms of wage/income gap, the demographic groups most similar to Burmese are South African (28.0%, a difference of 0.030%), Russian (28.0%, a difference of 0.050%), Romanian (28.0%, a difference of 0.20%), French Canadian (28.1%, a difference of 0.21%), and Immigrants from Sweden (28.1%, a difference of 0.22%). Similarly, the demographic groups most similar to Ute are Immigrants from Korea (27.8%, a difference of 0.070%), Immigrants from Western Europe (27.8%, a difference of 0.080%), Bulgarian (27.8%, a difference of 0.18%), Potawatomi (27.7%, a difference of 0.20%), and New Zealander (27.7%, a difference of 0.21%).
| Demographics | Rating | Rank | Wage/Income Gap |
| Hmong | 1.0 /100 | #266 | Tragic 27.7% |
| Turks | 1.0 /100 | #267 | Tragic 27.7% |
| New Zealanders | 1.0 /100 | #268 | Tragic 27.7% |
| Potawatomi | 0.9 /100 | #269 | Tragic 27.7% |
| Immigrants | Western Europe | 0.9 /100 | #270 | Tragic 27.8% |
| Ute | 0.8 /100 | #271 | Tragic 27.8% |
| Immigrants | Korea | 0.8 /100 | #272 | Tragic 27.8% |
| Bulgarians | 0.7 /100 | #273 | Tragic 27.8% |
| Americans | 0.7 /100 | #274 | Tragic 27.8% |
| Immigrants | Japan | 0.7 /100 | #275 | Tragic 27.9% |
| Lebanese | 0.7 /100 | #276 | Tragic 27.9% |
| Latvians | 0.7 /100 | #277 | Tragic 27.9% |
| Immigrants | England | 0.6 /100 | #278 | Tragic 27.9% |
| Romanians | 0.5 /100 | #279 | Tragic 28.0% |
| Russians | 0.5 /100 | #280 | Tragic 28.0% |
| Burmese | 0.5 /100 | #281 | Tragic 28.0% |
| South Africans | 0.5 /100 | #282 | Tragic 28.0% |
| French Canadians | 0.4 /100 | #283 | Tragic 28.1% |
| Immigrants | Sweden | 0.4 /100 | #284 | Tragic 28.1% |
| Italians | 0.4 /100 | #285 | Tragic 28.1% |
| Immigrants | Austria | 0.4 /100 | #286 | Tragic 28.1% |