Burmese Female Unemployment
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Burmese
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Female Unemployment
Burmese Female Unemployment
5.0%
UNEMPLOYMENT | FEMALES
95.6/ 100
METRIC RATING
95th/ 347
METRIC RANK
Burmese Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 462,170,417 people shows a poor negative correlation between the proportion of Burmese and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.193 and weighted average of 5.0%. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.020% in unemploymnet rate among females.
It is essential to understand that the correlation between the percentage of Burmese and unemploymnet rate among females 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 unemploymnet rate among females within an area, or if Burmese simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.
Demographics Similar to Burmese by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Burmese are Immigrants from Malaysia (5.0%, a difference of 0.020%), Immigrants from Austria (5.0%, a difference of 0.040%), Immigrants from South Central Asia (5.0%, a difference of 0.040%), Romanian (5.0%, a difference of 0.12%), and Immigrants from Japan (5.0%, a difference of 0.15%).
| Demographics | Rating | Rank | Female Unemployment |
| Immigrants from Sudan | 96.7 /100 | #88 | Exceptional 5.0% |
| Immigrants from Taiwan | 96.6 /100 | #89 | Exceptional 5.0% |
| Immigrants from Sweden | 96.3 /100 | #90 | Exceptional 5.0% |
| Immigrants from Japan | 96.0 /100 | #91 | Exceptional 5.0% |
| Romanians | 95.9 /100 | #92 | Exceptional 5.0% |
| Immigrants from Austria | 95.7 /100 | #93 | Exceptional 5.0% |
| Immigrants from Malaysia | 95.7 /100 | #94 | Exceptional 5.0% |
| Burmese | 95.6 /100 | #95 | Exceptional 5.0% |
| Immigrants from South Central Asia | 95.5 /100 | #96 | Exceptional 5.0% |
| Immigrants from Somalia | 95.2 /100 | #97 | Exceptional 5.0% |
| Immigrants from Kuwait | 95.2 /100 | #98 | Exceptional 5.0% |
| Immigrants from Zaire | 95.2 /100 | #99 | Exceptional 5.0% |
| Indonesians | 95.1 /100 | #100 | Exceptional 5.0% |
| Immigrants from Czechoslovakia | 95.0 /100 | #101 | Exceptional 5.0% |
| Immigrants from Kenya | 94.8 /100 | #102 | Exceptional 5.0% |
Burmese Female Unemployment Correlation Summary
| Measurement | Burmese Data | Female Unemployment Data |
| Minimum | 0.15% | 1.8% |
| Maximum | 53.9% | 6.9% |
| Range | 53.7% | 5.1% |
| Mean | 12.5% | 4.9% |
| Median | 10.3% | 4.7% |
| Interquartile 25% (IQ1) | 5.2% | 4.4% |
| Interquartile 75% (IQ3) | 16.4% | 5.7% |
| Interquartile Range (IQR) | 11.2% | 1.3% |
| Standard Deviation (Sample) | 10.3% | 1.1% |
| Standard Deviation (Population) | 10.2% | 1.1% |
Correlation Details
| Burmese Percentile | Sample Size | Female Unemployment |
[ 0.0% - 0.5% ] 0.15% | 192,548,881 | 5.5% |
[ 0.0% - 0.5% ] 0.45% | 110,332,369 | 4.9% |
[ 0.5% - 1.0% ] 0.76% | 52,211,686 | 4.8% |
[ 1.0% - 1.5% ] 1.07% | 34,831,775 | 5.3% |
[ 1.0% - 1.5% ] 1.39% | 17,576,753 | 4.8% |
[ 1.5% - 2.0% ] 1.70% | 13,719,830 | 4.7% |
[ 2.0% - 2.5% ] 2.02% | 8,426,862 | 4.7% |
[ 2.0% - 2.5% ] 2.32% | 5,431,542 | 4.4% |
[ 2.5% - 3.0% ] 2.63% | 3,820,857 | 4.6% |
[ 2.5% - 3.0% ] 2.94% | 7,156,567 | 6.3% |
[ 3.0% - 3.5% ] 3.28% | 2,331,261 | 4.6% |
[ 3.5% - 4.0% ] 3.60% | 1,771,480 | 4.4% |
[ 3.5% - 4.0% ] 3.89% | 1,514,126 | 4.7% |
[ 4.0% - 4.5% ] 4.20% | 1,213,043 | 4.6% |
[ 4.5% - 5.0% ] 4.50% | 1,039,798 | 4.5% |
[ 4.5% - 5.0% ] 4.83% | 645,370 | 4.7% |
[ 5.0% - 5.5% ] 5.17% | 967,455 | 4.9% |
[ 5.0% - 5.5% ] 5.43% | 804,722 | 5.0% |
[ 5.5% - 6.0% ] 5.74% | 296,002 | 4.7% |
[ 6.0% - 6.5% ] 6.11% | 781,947 | 4.4% |
[ 6.0% - 6.5% ] 6.37% | 333,594 | 4.7% |
[ 6.5% - 7.0% ] 6.73% | 232,155 | 6.4% |
[ 6.5% - 7.0% ] 6.99% | 238,360 | 5.8% |
[ 7.0% - 7.5% ] 7.38% | 247,701 | 5.2% |
[ 7.5% - 8.0% ] 7.66% | 132,103 | 6.1% |
[ 7.5% - 8.0% ] 7.86% | 470,213 | 5.8% |
[ 8.0% - 8.5% ] 8.34% | 86,510 | 5.1% |
[ 8.5% - 9.0% ] 8.61% | 131,549 | 4.6% |
[ 8.5% - 9.0% ] 8.87% | 263,952 | 4.6% |
[ 9.0% - 9.5% ] 9.19% | 97,134 | 4.1% |
[ 9.5% - 10.0% ] 9.52% | 143,415 | 6.2% |
[ 9.5% - 10.0% ] 9.75% | 131,912 | 6.5% |
[ 10.0% - 10.5% ] 10.11% | 119,878 | 4.4% |
[ 10.0% - 10.5% ] 10.49% | 31,568 | 3.1% |
[ 10.5% - 11.0% ] 10.77% | 212,208 | 5.5% |
[ 11.0% - 11.5% ] 11.03% | 282,578 | 6.0% |
[ 11.0% - 11.5% ] 11.27% | 40,914 | 5.6% |
[ 11.5% - 12.0% ] 11.85% | 51,367 | 4.7% |
[ 12.0% - 12.5% ] 12.22% | 27,774 | 3.9% |
[ 12.5% - 13.0% ] 12.68% | 253,938 | 6.6% |
[ 13.0% - 13.5% ] 13.04% | 49,955 | 4.6% |
[ 13.0% - 13.5% ] 13.19% | 233,268 | 4.0% |
[ 13.5% - 14.0% ] 13.57% | 72,859 | 4.3% |
[ 13.5% - 14.0% ] 13.81% | 93,823 | 6.0% |
[ 14.0% - 14.5% ] 14.44% | 22,723 | 3.9% |
[ 14.5% - 15.0% ] 14.80% | 152,084 | 4.3% |
[ 15.0% - 15.5% ] 15.04% | 50,419 | 1.8% |
[ 15.5% - 16.0% ] 15.71% | 26,355 | 4.5% |
[ 16.0% - 16.5% ] 16.02% | 24,044 | 2.0% |
[ 16.0% - 16.5% ] 16.41% | 20,092 | 5.7% |
[ 16.5% - 17.0% ] 16.79% | 32,344 | 6.0% |
[ 17.5% - 18.0% ] 17.58% | 5,495 | 5.3% |
[ 19.5% - 20.0% ] 19.71% | 10,694 | 3.7% |
[ 20.0% - 20.5% ] 20.45% | 28,788 | 5.6% |
[ 21.0% - 21.5% ] 21.01% | 39,049 | 6.9% |
[ 23.0% - 23.5% ] 23.22% | 23,546 | 6.1% |
[ 23.0% - 23.5% ] 23.48% | 132,379 | 5.7% |
[ 23.5% - 24.0% ] 23.80% | 22,930 | 6.2% |
[ 24.5% - 25.0% ] 24.51% | 17,110 | 4.3% |
[ 24.5% - 25.0% ] 24.71% | 37,754 | 5.7% |
[ 25.5% - 26.0% ] 25.72% | 43,169 | 6.0% |
[ 27.0% - 27.5% ] 27.19% | 18,564 | 4.6% |
[ 27.0% - 27.5% ] 27.45% | 11,314 | 2.5% |
[ 31.5% - 32.0% ] 31.55% | 5,863 | 3.0% |
[ 46.0% - 46.5% ] 46.33% | 4,185 | 2.0% |
[ 53.5% - 54.0% ] 53.89% | 40,462 | 4.8% |