Polish vs Lithuanian Female Unemployment
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Polish
Lithuanian
Female Unemployment
Female Unemployment Comparison
Poles
Lithuanians
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
19th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.8/ 100
METRIC RATING
30th/ 347
METRIC RANK
Polish vs Lithuanian Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 548,133,946 people shows a moderate positive correlation between the proportion of Poles and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.407 and weighted average of 4.7%. Similarly, 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%, a difference of 1.3%.
Female Unemployment Correlation Summary
| Measurement | Polish | Lithuanian |
| Minimum | 1.7% | 1.9% |
| Maximum | 50.0% | 22.2% |
| Range | 48.3% | 20.3% |
| Mean | 6.9% | 6.6% |
| Median | 4.5% | 4.8% |
| Interquartile 25% (IQ1) | 4.0% | 4.2% |
| Interquartile 75% (IQ3) | 5.3% | 7.5% |
| Interquartile Range (IQR) | 1.3% | 3.3% |
| Standard Deviation (Sample) | 9.1% | 4.3% |
| Standard Deviation (Population) | 9.1% | 4.2% |
Demographics Similar to Poles and Lithuanians by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Poles are Latvian (4.7%, a difference of 0.010%), Bulgarian (4.7%, a difference of 0.080%), Fijian (4.7%, a difference of 0.090%), European (4.7%, a difference of 0.11%), and Croatian (4.7%, a difference of 0.16%). Similarly, 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 |
| Finns | 100.0 /100 | #14 | Exceptional 4.6% |
| English | 100.0 /100 | #15 | Exceptional 4.6% |
| Carpatho Rusyns | 99.9 /100 | #16 | Exceptional 4.7% |
| Croatians | 99.9 /100 | #17 | Exceptional 4.7% |
| Latvians | 99.9 /100 | #18 | Exceptional 4.7% |
| Poles | 99.9 /100 | #19 | Exceptional 4.7% |
| Bulgarians | 99.9 /100 | #20 | Exceptional 4.7% |
| Fijians | 99.9 /100 | #21 | Exceptional 4.7% |
| Europeans | 99.9 /100 | #22 | Exceptional 4.7% |
| Scottish | 99.9 /100 | #23 | Exceptional 4.7% |
| Welsh | 99.9 /100 | #24 | Exceptional 4.7% |
| Immigrants | India | 99.9 /100 | #25 | Exceptional 4.7% |
| Immigrants | 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% |