Bolivian vs Australian Unemployment
COMPARE
Bolivian
Australian
Unemployment
Unemployment Comparison
Bolivians
Australians
4.8%
UNEMPLOYMENT
99.7/ 100
METRIC RATING
38th/ 347
METRIC RANK
4.9%
UNEMPLOYMENT
99.2/ 100
METRIC RATING
55th/ 347
METRIC RANK
Bolivian vs Australian Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 184,629,958 people shows a weak positive correlation between the proportion of Bolivians and unemployment in the United States with a correlation coefficient (R) of 0.228 and weighted average of 4.8%. Similarly, the statistical analysis conducted on geographies consisting of 224,052,970 people shows a poor positive correlation between the proportion of Australians and unemployment in the United States with a correlation coefficient (R) of 0.196 and weighted average of 4.9%, a difference of 1.7%.
Unemployment Correlation Summary
Measurement | Bolivian | Australian |
Minimum | 2.0% | 0.90% |
Maximum | 11.8% | 18.9% |
Range | 9.8% | 18.0% |
Mean | 4.8% | 5.3% |
Median | 4.4% | 4.7% |
Interquartile 25% (IQ1) | 3.6% | 3.9% |
Interquartile 75% (IQ3) | 5.3% | 5.8% |
Interquartile Range (IQR) | 1.7% | 1.9% |
Standard Deviation (Sample) | 1.9% | 3.1% |
Standard Deviation (Population) | 1.9% | 3.1% |
Demographics Similar to Bolivians and Australians by Unemployment
In terms of unemployment, the demographic groups most similar to Bolivians are Lithuanian (4.8%, a difference of 0.14%), Northern European (4.8%, a difference of 0.16%), Czechoslovakian (4.8%, a difference of 0.19%), Immigrants from Bosnia and Herzegovina (4.8%, a difference of 0.19%), and Tongan (4.8%, a difference of 0.26%). Similarly, the demographic groups most similar to Australians are Eastern European (4.9%, a difference of 0.030%), Immigrants from Zimbabwe (4.9%, a difference of 0.060%), White/Caucasian (4.9%, a difference of 0.090%), Immigrants from Belgium (4.9%, a difference of 0.10%), and Celtic (4.9%, a difference of 0.16%).
Demographics | Rating | Rank | Unemployment |
Tongans | 99.7 /100 | #36 | Exceptional 4.8% |
Czechoslovakians | 99.7 /100 | #37 | Exceptional 4.8% |
Bolivians | 99.7 /100 | #38 | Exceptional 4.8% |
Lithuanians | 99.7 /100 | #39 | Exceptional 4.8% |
Northern Europeans | 99.7 /100 | #40 | Exceptional 4.8% |
Immigrants | Bosnia and Herzegovina | 99.7 /100 | #41 | Exceptional 4.8% |
Filipinos | 99.5 /100 | #42 | Exceptional 4.8% |
Yugoslavians | 99.5 /100 | #43 | Exceptional 4.8% |
Austrians | 99.5 /100 | #44 | Exceptional 4.8% |
French | 99.5 /100 | #45 | Exceptional 4.8% |
Immigrants | Nepal | 99.4 /100 | #46 | Exceptional 4.8% |
Immigrants | Taiwan | 99.4 /100 | #47 | Exceptional 4.8% |
Immigrants | Scotland | 99.3 /100 | #48 | Exceptional 4.9% |
Immigrants | South Central Asia | 99.3 /100 | #49 | Exceptional 4.9% |
French Canadians | 99.3 /100 | #50 | Exceptional 4.9% |
Immigrants | Belgium | 99.2 /100 | #51 | Exceptional 4.9% |
Whites/Caucasians | 99.2 /100 | #52 | Exceptional 4.9% |
Immigrants | Zimbabwe | 99.2 /100 | #53 | Exceptional 4.9% |
Eastern Europeans | 99.2 /100 | #54 | Exceptional 4.9% |
Australians | 99.2 /100 | #55 | Exceptional 4.9% |
Celtics | 99.1 /100 | #56 | Exceptional 4.9% |