Lithuanian Female Unemployment
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Female Unemployment
Lithuanian Female Unemployment
4.7%
UNEMPLOYMENT | FEMALES
99.8/ 100
METRIC RATING
30th/ 347
METRIC RANK
Lithuanian Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 418,507,146 people shows a moderate positive correlation between the proportion of Lithuanians and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.441 and weighted average of 4.7%. On average, for every 1% (one percent) increase in Lithuanians within a typical geography, there is an increase of 0.33% in unemploymnet rate among females.
It is essential to understand that the correlation between the percentage of Lithuanians and unemploymnet rate among females does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Lithuanians influences an upward or downward trend in the level of unemploymnet rate among females within an area, or if Lithuanians simply ended up residing in those areas with higher or lower levels of unemploymnet rate among females due to other factors.
Demographics Similar to Lithuanians by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Lithuanians are Cypriot (4.7%, a difference of 0.12%), Irish (4.7%, a difference of 0.13%), British (4.7%, a difference of 0.16%), Sudanese (4.8%, a difference of 0.28%), and Immigrants from Bosnia and Herzegovina (4.7%, a difference of 0.33%).
| Demographics | Rating | Rank | Female Unemployment |
| Scottish | 99.9 /100 | #23 | Exceptional 4.7% |
| Welsh | 99.9 /100 | #24 | Exceptional 4.7% |
| Immigrants from India | 99.9 /100 | #25 | Exceptional 4.7% |
| Immigrants from Bosnia and Herzegovina | 99.9 /100 | #26 | Exceptional 4.7% |
| British | 99.9 /100 | #27 | Exceptional 4.7% |
| Irish | 99.9 /100 | #28 | Exceptional 4.7% |
| Cypriots | 99.9 /100 | #29 | Exceptional 4.7% |
| Lithuanians | 99.8 /100 | #30 | Exceptional 4.7% |
| Sudanese | 99.8 /100 | #31 | Exceptional 4.8% |
| Slovaks | 99.8 /100 | #32 | Exceptional 4.8% |
| Czechoslovakians | 99.7 /100 | #33 | Exceptional 4.8% |
| Zimbabweans | 99.7 /100 | #34 | Exceptional 4.8% |
| French Canadians | 99.7 /100 | #35 | Exceptional 4.8% |
| Yugoslavians | 99.7 /100 | #36 | Exceptional 4.8% |
| Pennsylvania Germans | 99.6 /100 | #37 | Exceptional 4.8% |
Lithuanian Female Unemployment Correlation Summary
| Measurement | Lithuanian Data | Female Unemployment Data |
| Minimum | 0.087% | 1.9% |
| Maximum | 26.6% | 22.2% |
| Range | 26.5% | 20.3% |
| Mean | 7.6% | 6.6% |
| Median | 6.6% | 4.8% |
| Interquartile 25% (IQ1) | 3.2% | 4.2% |
| Interquartile 75% (IQ3) | 10.4% | 7.5% |
| Interquartile Range (IQR) | 7.2% | 3.3% |
| Standard Deviation (Sample) | 5.6% | 4.3% |
| Standard Deviation (Population) | 5.6% | 4.2% |
Correlation Details
| Lithuanian Percentile | Sample Size | Female Unemployment |
[ 0.0% - 0.5% ] 0.087% | 258,190,389 | 5.3% |
[ 0.0% - 0.5% ] 0.27% | 88,045,857 | 4.8% |
[ 0.0% - 0.5% ] 0.46% | 34,912,245 | 4.5% |
[ 0.5% - 1.0% ] 0.65% | 14,363,536 | 4.2% |
[ 0.5% - 1.0% ] 0.84% | 8,062,987 | 4.6% |
[ 1.0% - 1.5% ] 1.03% | 5,161,660 | 4.5% |
[ 1.0% - 1.5% ] 1.23% | 2,559,272 | 4.7% |
[ 1.0% - 1.5% ] 1.41% | 1,758,921 | 4.3% |
[ 1.5% - 2.0% ] 1.62% | 1,136,131 | 4.6% |
[ 1.5% - 2.0% ] 1.79% | 995,012 | 4.6% |
[ 1.5% - 2.0% ] 1.99% | 698,965 | 4.8% |
[ 2.0% - 2.5% ] 2.19% | 654,856 | 4.1% |
[ 2.0% - 2.5% ] 2.37% | 489,474 | 4.1% |
[ 2.5% - 3.0% ] 2.53% | 294,516 | 4.4% |
[ 2.5% - 3.0% ] 2.76% | 264,751 | 4.8% |
[ 2.5% - 3.0% ] 2.93% | 79,850 | 2.8% |
[ 3.0% - 3.5% ] 3.16% | 71,167 | 4.7% |
[ 3.0% - 3.5% ] 3.32% | 81,840 | 4.6% |
[ 3.5% - 4.0% ] 3.52% | 126,004 | 5.1% |
[ 3.5% - 4.0% ] 3.70% | 46,564 | 7.2% |
[ 3.5% - 4.0% ] 3.86% | 13,709 | 7.8% |
[ 4.0% - 4.5% ] 4.13% | 70,734 | 3.2% |
[ 4.0% - 4.5% ] 4.26% | 73,316 | 4.7% |
[ 4.0% - 4.5% ] 4.45% | 34,369 | 3.4% |
[ 4.5% - 5.0% ] 4.62% | 40,607 | 2.1% |
[ 4.5% - 5.0% ] 4.81% | 13,361 | 3.0% |
[ 5.0% - 5.5% ] 5.01% | 71,147 | 5.6% |
[ 5.0% - 5.5% ] 5.21% | 11,282 | 6.8% |
[ 5.0% - 5.5% ] 5.44% | 7,260 | 8.7% |
[ 5.5% - 6.0% ] 5.65% | 6,937 | 5.9% |
[ 5.5% - 6.0% ] 5.95% | 20,482 | 3.6% |
[ 6.0% - 6.5% ] 6.09% | 5,502 | 4.8% |
[ 6.0% - 6.5% ] 6.38% | 7,710 | 3.6% |
[ 6.5% - 7.0% ] 6.51% | 9,812 | 14.3% |
[ 6.5% - 7.0% ] 6.71% | 2,250 | 5.8% |
[ 6.5% - 7.0% ] 6.85% | 628 | 4.8% |
[ 7.0% - 7.5% ] 7.12% | 4,241 | 5.6% |
[ 7.0% - 7.5% ] 7.28% | 4,585 | 7.9% |
[ 7.0% - 7.5% ] 7.45% | 2,631 | 6.7% |
[ 7.5% - 8.0% ] 7.66% | 3,133 | 6.6% |
[ 8.0% - 8.5% ] 8.03% | 7,300 | 3.8% |
[ 8.0% - 8.5% ] 8.17% | 1,090 | 1.9% |
[ 8.0% - 8.5% ] 8.49% | 4,570 | 6.6% |
[ 8.5% - 9.0% ] 8.62% | 441 | 19.3% |
[ 8.5% - 9.0% ] 8.82% | 12,683 | 10.5% |
[ 9.0% - 9.5% ] 9.08% | 3,138 | 6.1% |
[ 9.0% - 9.5% ] 9.25% | 11,511 | 4.8% |
[ 9.0% - 9.5% ] 9.43% | 732 | 9.6% |
[ 9.0% - 9.5% ] 9.50% | 27,648 | 5.2% |
[ 9.5% - 10.0% ] 9.90% | 22,441 | 5.4% |
[ 10.0% - 10.5% ] 10.14% | 345 | 3.4% |
[ 10.5% - 11.0% ] 10.68% | 103 | 14.3% |
[ 10.5% - 11.0% ] 10.81% | 2,885 | 2.3% |
[ 11.0% - 11.5% ] 11.26% | 2,940 | 4.1% |
[ 12.0% - 12.5% ] 12.18% | 583 | 11.9% |
[ 12.0% - 12.5% ] 12.40% | 1,572 | 5.7% |
[ 12.5% - 13.0% ] 12.54% | 295 | 5.7% |
[ 12.5% - 13.0% ] 12.78% | 1,409 | 11.1% |
[ 12.5% - 13.0% ] 12.94% | 85 | 22.2% |
[ 13.5% - 14.0% ] 13.71% | 875 | 11.8% |
[ 14.0% - 14.5% ] 14.46% | 1,514 | 8.9% |
[ 15.5% - 16.0% ] 15.54% | 1,454 | 4.0% |
[ 16.0% - 16.5% ] 16.24% | 234 | 11.8% |
[ 16.5% - 17.0% ] 16.70% | 1,383 | 10.6% |
[ 19.5% - 20.0% ] 19.87% | 1,052 | 4.1% |
[ 20.5% - 21.0% ] 20.69% | 145 | 2.5% |
[ 21.0% - 21.5% ] 21.46% | 494 | 22.1% |
[ 26.5% - 27.0% ] 26.55% | 531 | 10.1% |