Lithuanian vs Immigrants from Oceania In Labor Force | Age 20-64
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Lithuanian
Immigrants from Oceania
In Labor Force | Age 20-64
In Labor Force | Age 20-64 Comparison
Lithuanians
Immigrants from Oceania
80.2%
IN LABOR FORCE | AGE 20-64
98.7/ 100
METRIC RATING
65th/ 347
METRIC RANK
79.3%
IN LABOR FORCE | AGE 20-64
19.1/ 100
METRIC RATING
200th/ 347
METRIC RANK
Lithuanian vs Immigrants from Oceania In Labor Force | Age 20-64 Correlation Chart
The statistical analysis conducted on geographies consisting of 421,962,111 people shows a poor negative correlation between the proportion of Lithuanians and labor force participation rate among population between the ages 20 and 64 in the United States with a correlation coefficient (R) of -0.155 and weighted average of 80.2%. Similarly, the statistical analysis conducted on geographies consisting of 305,520,725 people shows a very strong negative correlation between the proportion of Immigrants from Oceania and labor force participation rate among population between the ages 20 and 64 in the United States with a correlation coefficient (R) of -0.814 and weighted average of 79.3%, a difference of 1.2%.
In Labor Force | Age 20-64 Correlation Summary
Measurement | Lithuanian | Immigrants from Oceania |
Minimum | 45.0% | 12.2% |
Maximum | 100.0% | 100.0% |
Range | 55.0% | 87.8% |
Mean | 77.7% | 73.5% |
Median | 80.0% | 76.3% |
Interquartile 25% (IQ1) | 73.7% | 72.6% |
Interquartile 75% (IQ3) | 82.0% | 79.7% |
Interquartile Range (IQR) | 8.3% | 7.1% |
Standard Deviation (Sample) | 9.6% | 17.1% |
Standard Deviation (Population) | 9.5% | 16.9% |
Similar Demographics by In Labor Force | Age 20-64
Demographics Similar to Lithuanians by In Labor Force | Age 20-64
In terms of in labor force | age 20-64, the demographic groups most similar to Lithuanians are Macedonian (80.2%, a difference of 0.0%), Immigrants from Korea (80.3%, a difference of 0.010%), Immigrants from Albania (80.3%, a difference of 0.010%), Taiwanese (80.2%, a difference of 0.010%), and Carpatho Rusyn (80.3%, a difference of 0.020%).
Demographics | Rating | Rank | In Labor Force | Age 20-64 |
Serbians | 98.9 /100 | #58 | Exceptional 80.3% |
Swedes | 98.9 /100 | #59 | Exceptional 80.3% |
Tongans | 98.8 /100 | #60 | Exceptional 80.3% |
Burmese | 98.8 /100 | #61 | Exceptional 80.3% |
Carpatho Rusyns | 98.8 /100 | #62 | Exceptional 80.3% |
Immigrants | Korea | 98.8 /100 | #63 | Exceptional 80.3% |
Immigrants | Albania | 98.7 /100 | #64 | Exceptional 80.3% |
Lithuanians | 98.7 /100 | #65 | Exceptional 80.2% |
Macedonians | 98.7 /100 | #66 | Exceptional 80.2% |
Taiwanese | 98.6 /100 | #67 | Exceptional 80.2% |
Bhutanese | 98.6 /100 | #68 | Exceptional 80.2% |
Albanians | 98.6 /100 | #69 | Exceptional 80.2% |
Immigrants | Turkey | 98.5 /100 | #70 | Exceptional 80.2% |
Soviet Union | 98.5 /100 | #71 | Exceptional 80.2% |
Eastern Europeans | 98.4 /100 | #72 | Exceptional 80.2% |
Demographics Similar to Immigrants from Oceania by In Labor Force | Age 20-64
In terms of in labor force | age 20-64, the demographic groups most similar to Immigrants from Oceania are Immigrants from Nicaragua (79.3%, a difference of 0.0%), Dutch (79.3%, a difference of 0.010%), Nicaraguan (79.3%, a difference of 0.010%), Iraqi (79.3%, a difference of 0.020%), and Immigrants from Cambodia (79.3%, a difference of 0.020%).
Demographics | Rating | Rank | In Labor Force | Age 20-64 |
Indonesians | 26.1 /100 | #193 | Fair 79.4% |
Immigrants | Thailand | 24.8 /100 | #194 | Fair 79.4% |
Immigrants | Austria | 23.7 /100 | #195 | Fair 79.4% |
Ecuadorians | 23.1 /100 | #196 | Fair 79.4% |
Immigrants | Senegal | 22.5 /100 | #197 | Fair 79.4% |
Immigrants | Laos | 21.5 /100 | #198 | Fair 79.4% |
Dutch | 20.2 /100 | #199 | Fair 79.3% |
Immigrants | Oceania | 19.1 /100 | #200 | Poor 79.3% |
Immigrants | Nicaragua | 19.0 /100 | #201 | Poor 79.3% |
Nicaraguans | 18.3 /100 | #202 | Poor 79.3% |
Iraqis | 17.7 /100 | #203 | Poor 79.3% |
Immigrants | Cambodia | 17.6 /100 | #204 | Poor 79.3% |
Immigrants | Congo | 17.5 /100 | #205 | Poor 79.3% |
Immigrants | Ecuador | 16.9 /100 | #206 | Poor 79.3% |
Sub-Saharan Africans | 16.5 /100 | #207 | Poor 79.3% |