Lithuanian vs Filipino Unemployment
COMPARE
Lithuanian
 Filipino
 Unemployment
Unemployment Comparison
Lithuanians
Filipinos
4.8%
UNEMPLOYMENT
99.7/ 100
METRIC RATING
39th/ 347
METRIC RANK
4.8%
UNEMPLOYMENT
99.5/ 100
METRIC RATING
42nd/ 347
METRIC RANK
Lithuanian vs Filipino Unemployment Correlation Chart
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%. Similarly, 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%, a difference of 0.52%.
 
Unemployment Correlation Summary
| Measurement | Lithuanian | Filipino | 
| Minimum | 1.5% | 1.1% | 
| Maximum | 15.9% | 8.8% | 
| Range | 14.4% | 7.7% | 
| Mean | 5.7% | 4.5% | 
| Median | 4.7% | 4.5% | 
| Interquartile 25% (IQ1) | 4.3% | 4.2% | 
| Interquartile 75% (IQ3) | 6.1% | 5.0% | 
| Interquartile Range (IQR) | 1.9% | 0.84% | 
| Standard Deviation (Sample) | 2.7% | 1.4% | 
| Standard Deviation (Population) | 2.7% | 1.4% | 
Demographics Similar to Lithuanians and Filipinos by Unemployment
In terms of unemployment, 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%). Similarly, 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%).
| Demographics | Rating | Rank | Unemployment | 
| 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%  | 
| French Canadians | 99.3 /100 | #50  | Exceptional 4.9%  |