French vs Lithuanian Unemployment
COMPARE
French
Lithuanian
Unemployment
Unemployment Comparison
French
Lithuanians
4.8%
UNEMPLOYMENT
99.5/ 100
METRIC RATING
45th/ 347
METRIC RANK
4.8%
UNEMPLOYMENT
99.7/ 100
METRIC RATING
39th/ 347
METRIC RANK
French vs Lithuanian Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 568,292,844 people shows a substantial positive correlation between the proportion of French and unemployment in the United States with a correlation coefficient (R) of 0.586 and weighted average of 4.8%. Similarly, the statistical analysis conducted on geographies consisting of 421,273,270 people shows a mild positive correlation between the proportion of Lithuanians and unemployment in the United States with a correlation coefficient (R) of 0.335 and weighted average of 4.8%, a difference of 0.84%.
Unemployment Correlation Summary
| Measurement | French | Lithuanian |
| Minimum | 0.20% | 1.5% |
| Maximum | 53.0% | 15.9% |
| Range | 52.8% | 14.4% |
| Mean | 7.4% | 5.7% |
| Median | 5.2% | 4.7% |
| Interquartile 25% (IQ1) | 4.5% | 4.3% |
| Interquartile 75% (IQ3) | 7.0% | 6.1% |
| Interquartile Range (IQR) | 2.5% | 1.9% |
| Standard Deviation (Sample) | 7.3% | 2.7% |
| Standard Deviation (Population) | 7.3% | 2.7% |
Demographics Similar to French and Lithuanians by Unemployment
In terms of unemployment, the demographic groups most similar to French are Austrian (4.8%, a difference of 0.050%), Yugoslavian (4.8%, a difference of 0.11%), Immigrants from Nepal (4.8%, a difference of 0.16%), Immigrants from Taiwan (4.8%, a difference of 0.18%), and Filipino (4.8%, a difference of 0.31%). Similarly, the demographic groups most similar to Lithuanians are Northern European (4.8%, a difference of 0.020%), Immigrants from Bosnia and Herzegovina (4.8%, a difference of 0.040%), Bolivian (4.8%, a difference of 0.14%), Czechoslovakian (4.8%, a difference of 0.34%), and Tongan (4.8%, a difference of 0.41%).
| Demographics | Rating | Rank | Unemployment |
| 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% |
| 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% |