Immigrants from Lithuania In Labor Force | Age 20-64
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Immigrants from Lithuania
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In Labor Force | Age 20-64
Immigrants from Lithuania In Labor Force | Age 20-64
80.7%
IN LABOR FORCE | AGE 20-64
99.9/ 100
METRIC RATING
31st/ 347
METRIC RANK
Immigrants from Lithuania In Labor Force | Age 20-64 Correlation Chart
The statistical analysis conducted on geographies consisting of 117,724,932 people shows a slight negative correlation between the proportion of Immigrants from Lithuania and labor force participation rate among population between the ages 20 and 64 in the United States with a correlation coefficient (R) of -0.065 and weighted average of 80.7%. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is a decrease of 0.048% in labor force participation rate among population between the ages 20 and 64.
It is essential to understand that the correlation between the percentage of Immigrants from Lithuania and labor force participation rate among population between the ages 20 and 64 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Lithuania influences an upward or downward trend in the level of labor force participation rate among population between the ages 20 and 64 within an area, or if Immigrants from Lithuania simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 20 and 64 due to other factors.
Demographics Similar to Immigrants from Lithuania by In Labor Force | Age 20-64
In terms of in labor force | age 20-64, the demographic groups most similar to Immigrants from Lithuania are Immigrants from Ireland (80.7%, a difference of 0.010%), Immigrants from South Central Asia (80.7%, a difference of 0.020%), Immigrants from North Macedonia (80.7%, a difference of 0.020%), Immigrants from Uganda (80.7%, a difference of 0.040%), and Chinese (80.7%, a difference of 0.040%).
Demographics | Rating | Rank | In Labor Force | Age 20-64 |
Immigrants from Morocco | 100.0 /100 | #24 | Exceptional 80.8% |
Kenyans | 100.0 /100 | #25 | Exceptional 80.8% |
Immigrants from Serbia | 100.0 /100 | #26 | Exceptional 80.8% |
Immigrants from Kenya | 99.9 /100 | #27 | Exceptional 80.7% |
Immigrants from Uganda | 99.9 /100 | #28 | Exceptional 80.7% |
Immigrants from South Central Asia | 99.9 /100 | #29 | Exceptional 80.7% |
Immigrants from North Macedonia | 99.9 /100 | #30 | Exceptional 80.7% |
Immigrants from Lithuania | 99.9 /100 | #31 | Exceptional 80.7% |
Immigrants from Ireland | 99.9 /100 | #32 | Exceptional 80.7% |
Chinese | 99.9 /100 | #33 | Exceptional 80.7% |
Immigrants from Brazil | 99.9 /100 | #34 | Exceptional 80.7% |
Immigrants from Poland | 99.9 /100 | #35 | Exceptional 80.6% |
Paraguayans | 99.8 /100 | #36 | Exceptional 80.6% |
Immigrants from Moldova | 99.8 /100 | #37 | Exceptional 80.6% |
Ugandans | 99.8 /100 | #38 | Exceptional 80.6% |
Immigrants from Lithuania In Labor Force | Age 20-64 Correlation Summary
Measurement | Immigrants from Lithuania Data | In Labor Force | Age 20-64 Data |
Minimum | 0.022% | 73.8% |
Maximum | 18.4% | 86.3% |
Range | 18.4% | 12.5% |
Mean | 2.5% | 81.1% |
Median | 1.4% | 81.0% |
Interquartile 25% (IQ1) | 0.69% | 80.4% |
Interquartile 75% (IQ3) | 2.1% | 82.3% |
Interquartile Range (IQR) | 1.5% | 2.0% |
Standard Deviation (Sample) | 3.9% | 2.9% |
Standard Deviation (Population) | 3.8% | 2.8% |
Correlation Details
Immigrants from Lithuania Percentile | Sample Size | In Labor Force | Age 20-64 |
[ 0.0% - 0.5% ] 0.022% | 102,995,488 | 79.9% |
[ 0.0% - 0.5% ] 0.13% | 8,126,957 | 80.8% |
[ 0.0% - 0.5% ] 0.23% | 3,211,708 | 80.7% |
[ 0.0% - 0.5% ] 0.31% | 1,266,927 | 81.0% |
[ 0.0% - 0.5% ] 0.41% | 561,608 | 81.3% |
[ 0.0% - 0.5% ] 0.50% | 361,539 | 80.4% |
[ 0.5% - 1.0% ] 0.61% | 271,351 | 82.3% |
[ 0.5% - 1.0% ] 0.69% | 192,841 | 80.8% |
[ 0.5% - 1.0% ] 0.80% | 72,017 | 79.6% |
[ 0.5% - 1.0% ] 0.87% | 134,524 | 81.7% |
[ 0.5% - 1.0% ] 0.96% | 19,741 | 81.0% |
[ 1.0% - 1.5% ] 1.06% | 58,904 | 81.3% |
[ 1.0% - 1.5% ] 1.14% | 122,775 | 81.6% |
[ 1.0% - 1.5% ] 1.22% | 6,743 | 80.8% |
[ 1.0% - 1.5% ] 1.36% | 38,572 | 83.2% |
[ 1.0% - 1.5% ] 1.43% | 55,353 | 86.3% |
[ 1.5% - 2.0% ] 1.55% | 28,061 | 80.4% |
[ 1.5% - 2.0% ] 1.59% | 44,406 | 80.3% |
[ 1.5% - 2.0% ] 1.67% | 12,778 | 83.8% |
[ 1.5% - 2.0% ] 1.82% | 16,833 | 81.5% |
[ 1.5% - 2.0% ] 1.85% | 51,206 | 80.4% |
[ 2.0% - 2.5% ] 2.12% | 5,862 | 85.0% |
[ 2.0% - 2.5% ] 2.14% | 10,443 | 75.0% |
[ 2.0% - 2.5% ] 2.33% | 10,268 | 82.3% |
[ 2.5% - 3.0% ] 2.60% | 1,536 | 75.1% |
[ 3.0% - 3.5% ] 3.47% | 26,810 | 83.8% |
[ 3.5% - 4.0% ] 3.76% | 18,533 | 84.7% |
[ 5.5% - 6.0% ] 5.88% | 187 | 77.4% |
[ 13.0% - 13.5% ] 13.36% | 494 | 73.8% |
[ 18.0% - 18.5% ] 18.42% | 467 | 85.3% |