Burmese vs Argentinean In Labor Force | Age 30-34
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Burmese
Argentinean
In Labor Force | Age 30-34
In Labor Force | Age 30-34 Comparison
Burmese
Argentineans
85.3%
IN LABOR FORCE | AGE 30-34
97.9/ 100
METRIC RATING
90th/ 347
METRIC RANK
85.1%
IN LABOR FORCE | AGE 30-34
95.8/ 100
METRIC RATING
109th/ 347
METRIC RANK
Burmese vs Argentinean In Labor Force | Age 30-34 Correlation Chart
The statistical analysis conducted on geographies consisting of 464,987,923 people shows a weak positive correlation between the proportion of Burmese and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.267 and weighted average of 85.3%. Similarly, the statistical analysis conducted on geographies consisting of 297,011,031 people shows a poor positive correlation between the proportion of Argentineans and labor force participation rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.182 and weighted average of 85.1%, a difference of 0.13%.
In Labor Force | Age 30-34 Correlation Summary
Measurement | Burmese | Argentinean |
Minimum | 63.8% | 60.9% |
Maximum | 100.0% | 100.0% |
Range | 36.2% | 39.1% |
Mean | 86.4% | 86.8% |
Median | 85.7% | 85.7% |
Interquartile 25% (IQ1) | 84.6% | 83.7% |
Interquartile 75% (IQ3) | 87.8% | 90.4% |
Interquartile Range (IQR) | 3.2% | 6.7% |
Standard Deviation (Sample) | 5.9% | 7.8% |
Standard Deviation (Population) | 5.8% | 7.8% |
Demographics Similar to Burmese and Argentineans by In Labor Force | Age 30-34
In terms of in labor force | age 30-34, the demographic groups most similar to Burmese are Immigrants from Moldova (85.3%, a difference of 0.010%), Immigrants from Kazakhstan (85.3%, a difference of 0.020%), German Russian (85.2%, a difference of 0.020%), Immigrants from Norway (85.2%, a difference of 0.030%), and Swedish (85.2%, a difference of 0.040%). Similarly, the demographic groups most similar to Argentineans are Immigrants from Zimbabwe (85.1%, a difference of 0.0%), Immigrants from Northern Africa (85.2%, a difference of 0.020%), Alsatian (85.2%, a difference of 0.030%), Immigrants from Middle Africa (85.2%, a difference of 0.030%), and Ukrainian (85.2%, a difference of 0.040%).
Demographics | Rating | Rank | In Labor Force | Age 30-34 |
Immigrants | Kazakhstan | 98.1 /100 | #89 | Exceptional 85.3% |
Burmese | 97.9 /100 | #90 | Exceptional 85.3% |
Immigrants | Moldova | 97.9 /100 | #91 | Exceptional 85.3% |
German Russians | 97.7 /100 | #92 | Exceptional 85.2% |
Immigrants | Norway | 97.6 /100 | #93 | Exceptional 85.2% |
Swedes | 97.5 /100 | #94 | Exceptional 85.2% |
Immigrants | India | 97.4 /100 | #95 | Exceptional 85.2% |
Immigrants | Korea | 97.3 /100 | #96 | Exceptional 85.2% |
Thais | 97.2 /100 | #97 | Exceptional 85.2% |
Immigrants | Uganda | 97.2 /100 | #98 | Exceptional 85.2% |
Belgians | 97.2 /100 | #99 | Exceptional 85.2% |
Sudanese | 97.1 /100 | #100 | Exceptional 85.2% |
Immigrants | Belarus | 96.9 /100 | #101 | Exceptional 85.2% |
Immigrants | Austria | 96.8 /100 | #102 | Exceptional 85.2% |
Ukrainians | 96.6 /100 | #103 | Exceptional 85.2% |
Immigrants | Ghana | 96.5 /100 | #104 | Exceptional 85.2% |
Alsatians | 96.3 /100 | #105 | Exceptional 85.2% |
Immigrants | Middle Africa | 96.3 /100 | #106 | Exceptional 85.2% |
Immigrants | Northern Africa | 96.3 /100 | #107 | Exceptional 85.2% |
Immigrants | Zimbabwe | 95.8 /100 | #108 | Exceptional 85.1% |
Argentineans | 95.8 /100 | #109 | Exceptional 85.1% |