Filipino vs Czechoslovakian Unemployment
COMPARE
Filipino
Czechoslovakian
Unemployment
Unemployment Comparison
Filipinos
Czechoslovakians
4.8%
UNEMPLOYMENT
99.5/ 100
METRIC RATING
42nd/ 347
METRIC RANK
4.8%
UNEMPLOYMENT
99.7/ 100
METRIC RATING
37th/ 347
METRIC RANK
Filipino vs Czechoslovakian Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 254,275,542 people shows no correlation between the proportion of Filipinos and unemployment in the United States with a correlation coefficient (R) of 0.030 and weighted average of 4.8%. Similarly, the statistical analysis conducted on geographies consisting of 368,083,136 people shows a substantial positive correlation between the proportion of Czechoslovakians and unemployment in the United States with a correlation coefficient (R) of 0.581 and weighted average of 4.8%, a difference of 0.86%.

Unemployment Correlation Summary
Measurement | Filipino | Czechoslovakian |
Minimum | 1.1% | 1.3% |
Maximum | 8.8% | 40.9% |
Range | 7.7% | 39.6% |
Mean | 4.5% | 7.8% |
Median | 4.5% | 4.9% |
Interquartile 25% (IQ1) | 4.2% | 4.1% |
Interquartile 75% (IQ3) | 5.0% | 7.8% |
Interquartile Range (IQR) | 0.84% | 3.7% |
Standard Deviation (Sample) | 1.4% | 8.0% |
Standard Deviation (Population) | 1.4% | 7.9% |
Demographics Similar to Filipinos and Czechoslovakians by Unemployment
In terms of unemployment, the demographic groups most similar to Filipinos are Yugoslavian (4.8%, a difference of 0.20%), Austrian (4.8%, a difference of 0.26%), French (4.8%, a difference of 0.31%), Immigrants from Bosnia and Herzegovina (4.8%, a difference of 0.48%), and Immigrants from Nepal (4.8%, a difference of 0.48%). Similarly, the demographic groups most similar to Czechoslovakians are Tongan (4.8%, a difference of 0.070%), Bolivian (4.8%, a difference of 0.19%), Scotch-Irish (4.8%, a difference of 0.29%), Lithuanian (4.8%, a difference of 0.34%), and Northern European (4.8%, a difference of 0.35%).
Demographics | Rating | Rank | Unemployment |
Poles | 99.8 /100 | #29 | Exceptional 4.7% |
Irish | 99.8 /100 | #30 | Exceptional 4.8% |
Croatians | 99.8 /100 | #31 | Exceptional 4.8% |
Zimbabweans | 99.8 /100 | #32 | Exceptional 4.8% |
Sudanese | 99.8 /100 | #33 | Exceptional 4.8% |
Immigrants | Bolivia | 99.8 /100 | #34 | Exceptional 4.8% |
Scotch-Irish | 99.8 /100 | #35 | Exceptional 4.8% |
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% |