Burmese Male Unemployment
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Burmese
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Male Unemployment
Burmese Male Unemployment
4.9%
UNEMPLOYMENT | MALES
99.3/ 100
METRIC RATING
39th/ 347
METRIC RANK
Burmese Male Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 462,600,368 people shows no correlation between the proportion of Burmese and unemployment rate among males in the United States with a correlation coefficient (R) of -0.047 and weighted average of 4.9%. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.0075% in unemployment rate among males.
It is essential to understand that the correlation between the percentage of Burmese and unemployment rate among males 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 unemployment rate among males within an area, or if Burmese simply ended up residing in those areas with higher or lower levels of unemployment rate among males due to other factors.
Demographics Similar to Burmese by Male Unemployment
In terms of male unemployment, the demographic groups most similar to Burmese are Immigrants from Bosnia and Herzegovina (4.9%, a difference of 0.070%), Northern European (4.9%, a difference of 0.080%), Scotch-Irish (4.9%, a difference of 0.090%), Chinese (4.9%, a difference of 0.17%), and Immigrants from Belgium (4.9%, a difference of 0.19%).
| Demographics | Rating | Rank | Male Unemployment |
| Immigrants from Nepal | 99.8 /100 | #32 | Exceptional 4.8% |
| Latvians | 99.7 /100 | #33 | Exceptional 4.8% |
| Welsh | 99.7 /100 | #34 | Exceptional 4.8% |
| Paraguayans | 99.5 /100 | #35 | Exceptional 4.9% |
| Immigrants from Singapore | 99.4 /100 | #36 | Exceptional 4.9% |
| Scotch-Irish | 99.4 /100 | #37 | Exceptional 4.9% |
| Immigrants from Bosnia and Herzegovina | 99.4 /100 | #38 | Exceptional 4.9% |
| Burmese | 99.3 /100 | #39 | Exceptional 4.9% |
| Northern Europeans | 99.3 /100 | #40 | Exceptional 4.9% |
| Chinese | 99.3 /100 | #41 | Exceptional 4.9% |
| Immigrants from Belgium | 99.2 /100 | #42 | Exceptional 4.9% |
| Immigrants from Japan | 99.2 /100 | #43 | Exceptional 4.9% |
| Immigrants from Korea | 99.1 /100 | #44 | Exceptional 4.9% |
| Immigrants from Zimbabwe | 99.0 /100 | #45 | Exceptional 4.9% |
| Bhutanese | 98.9 /100 | #46 | Exceptional 4.9% |
Burmese Male Unemployment Correlation Summary
| Measurement | Burmese Data | Male Unemployment Data |
| Minimum | 0.15% | 0.50% |
| Maximum | 53.9% | 10.7% |
| Range | 53.7% | 10.2% |
| Mean | 12.8% | 4.6% |
| Median | 10.8% | 4.5% |
| Interquartile 25% (IQ1) | 5.3% | 4.0% |
| Interquartile 75% (IQ3) | 17.1% | 5.3% |
| Interquartile Range (IQR) | 11.8% | 1.2% |
| Standard Deviation (Sample) | 10.3% | 1.6% |
| Standard Deviation (Population) | 10.2% | 1.6% |
Correlation Details
| Burmese Percentile | Sample Size | Male Unemployment |
[ 0.0% - 0.5% ] 0.15% | 192,742,082 | 5.6% |
[ 0.0% - 0.5% ] 0.45% | 110,526,135 | 5.0% |
[ 0.5% - 1.0% ] 0.76% | 52,153,004 | 4.8% |
[ 1.0% - 1.5% ] 1.07% | 34,844,837 | 5.4% |
[ 1.0% - 1.5% ] 1.39% | 17,556,286 | 4.7% |
[ 1.5% - 2.0% ] 1.70% | 13,686,465 | 4.7% |
[ 2.0% - 2.5% ] 2.02% | 8,433,329 | 4.6% |
[ 2.0% - 2.5% ] 2.32% | 5,457,609 | 4.5% |
[ 2.5% - 3.0% ] 2.63% | 3,840,068 | 4.3% |
[ 2.5% - 3.0% ] 2.94% | 7,133,430 | 5.8% |
[ 3.0% - 3.5% ] 3.28% | 2,308,121 | 4.2% |
[ 3.5% - 4.0% ] 3.60% | 1,773,007 | 4.4% |
[ 3.5% - 4.0% ] 3.89% | 1,510,906 | 4.7% |
[ 4.0% - 4.5% ] 4.20% | 1,238,166 | 4.1% |
[ 4.5% - 5.0% ] 4.50% | 1,054,085 | 4.5% |
[ 4.5% - 5.0% ] 4.83% | 647,043 | 4.0% |
[ 5.0% - 5.5% ] 5.17% | 973,494 | 4.2% |
[ 5.0% - 5.5% ] 5.43% | 807,201 | 5.2% |
[ 5.5% - 6.0% ] 5.74% | 299,300 | 3.8% |
[ 6.0% - 6.5% ] 6.11% | 785,890 | 4.3% |
[ 6.0% - 6.5% ] 6.37% | 336,348 | 4.5% |
[ 6.5% - 7.0% ] 6.73% | 242,306 | 4.3% |
[ 6.5% - 7.0% ] 6.99% | 238,360 | 4.1% |
[ 7.0% - 7.5% ] 7.39% | 245,496 | 4.4% |
[ 7.5% - 8.0% ] 7.66% | 126,476 | 6.2% |
[ 7.5% - 8.0% ] 7.87% | 477,814 | 4.3% |
[ 8.0% - 8.5% ] 8.34% | 86,221 | 3.1% |
[ 8.5% - 9.0% ] 8.61% | 134,735 | 4.9% |
[ 8.5% - 9.0% ] 8.87% | 264,706 | 4.1% |
[ 9.0% - 9.5% ] 9.19% | 97,707 | 5.1% |
[ 9.5% - 10.0% ] 9.52% | 138,211 | 4.8% |
[ 9.5% - 10.0% ] 9.75% | 131,591 | 5.6% |
[ 10.0% - 10.5% ] 10.12% | 115,567 | 3.5% |
[ 10.5% - 11.0% ] 10.51% | 27,751 | 3.6% |
[ 10.5% - 11.0% ] 10.77% | 210,274 | 3.9% |
[ 11.0% - 11.5% ] 11.03% | 282,578 | 4.8% |
[ 11.0% - 11.5% ] 11.27% | 40,914 | 3.0% |
[ 11.5% - 12.0% ] 11.58% | 59,410 | 6.9% |
[ 11.5% - 12.0% ] 11.85% | 51,367 | 5.1% |
[ 12.0% - 12.5% ] 12.19% | 15,117 | 1.0% |
[ 12.5% - 13.0% ] 12.68% | 258,950 | 5.3% |
[ 13.0% - 13.5% ] 13.04% | 49,955 | 4.4% |
[ 13.0% - 13.5% ] 13.19% | 230,349 | 4.9% |
[ 13.5% - 14.0% ] 13.57% | 72,859 | 3.7% |
[ 13.5% - 14.0% ] 13.81% | 94,420 | 5.5% |
[ 14.0% - 14.5% ] 14.44% | 22,723 | 5.1% |
[ 14.5% - 15.0% ] 14.80% | 152,639 | 5.4% |
[ 15.0% - 15.5% ] 15.04% | 50,419 | 6.2% |
[ 15.5% - 16.0% ] 15.71% | 25,382 | 2.8% |
[ 16.0% - 16.5% ] 16.02% | 24,044 | 5.1% |
[ 16.0% - 16.5% ] 16.41% | 20,092 | 10.7% |
[ 16.5% - 17.0% ] 16.79% | 32,344 | 6.2% |
[ 17.0% - 17.5% ] 17.38% | 30,598 | 4.5% |
[ 17.5% - 18.0% ] 17.58% | 5,495 | 2.2% |
[ 19.5% - 20.0% ] 19.71% | 10,694 | 9.4% |
[ 20.0% - 20.5% ] 20.45% | 28,984 | 2.9% |
[ 21.0% - 21.5% ] 21.01% | 39,049 | 6.6% |
[ 23.0% - 23.5% ] 23.22% | 23,546 | 1.5% |
[ 23.0% - 23.5% ] 23.48% | 132,379 | 4.3% |
[ 23.5% - 24.0% ] 23.80% | 22,930 | 4.6% |
[ 24.5% - 25.0% ] 24.51% | 17,110 | 2.3% |
[ 24.5% - 25.0% ] 24.71% | 37,754 | 4.3% |
[ 25.5% - 26.0% ] 25.72% | 43,169 | 7.0% |
[ 27.0% - 27.5% ] 27.19% | 18,564 | 4.9% |
[ 27.0% - 27.5% ] 27.45% | 11,314 | 0.50% |
[ 29.5% - 30.0% ] 29.61% | 689 | 6.4% |
[ 31.5% - 32.0% ] 31.55% | 5,863 | 1.2% |
[ 46.0% - 46.5% ] 46.33% | 4,185 | 3.1% |
[ 53.5% - 54.0% ] 53.89% | 40,462 | 6.5% |