Polish vs German Female Unemployment
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Polish
German
Female Unemployment
Female Unemployment Comparison
Poles
Germans
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
19th/ 347
METRIC RANK
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
8th/ 347
METRIC RANK
Polish vs German 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 564,194,310 people shows a poor positive correlation between the proportion of Germans and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.104 and weighted average of 4.5%, a difference of 4.4%.
Female Unemployment Correlation Summary
Measurement | Polish | German |
Minimum | 1.7% | 1.1% |
Maximum | 50.0% | 32.1% |
Range | 48.3% | 31.0% |
Mean | 6.9% | 4.7% |
Median | 4.5% | 3.8% |
Interquartile 25% (IQ1) | 4.0% | 3.2% |
Interquartile 75% (IQ3) | 5.3% | 4.7% |
Interquartile Range (IQR) | 1.3% | 1.5% |
Standard Deviation (Sample) | 9.1% | 3.7% |
Standard Deviation (Population) | 9.1% | 3.6% |
Demographics Similar to Poles and Germans 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 Germans are Chinese (4.5%, a difference of 0.020%), Slovene (4.5%, a difference of 0.36%), Swedish (4.4%, a difference of 0.79%), Swiss (4.6%, a difference of 1.7%), and Scandinavian (4.6%, a difference of 1.8%).
Demographics | Rating | Rank | Female Unemployment |
Luxembourgers | 100.0 /100 | #3 | Exceptional 4.4% |
Danes | 100.0 /100 | #4 | Exceptional 4.4% |
Hmong | 100.0 /100 | #5 | Exceptional 4.4% |
Swedes | 100.0 /100 | #6 | Exceptional 4.4% |
Chinese | 100.0 /100 | #7 | Exceptional 4.5% |
Germans | 100.0 /100 | #8 | Exceptional 4.5% |
Slovenes | 100.0 /100 | #9 | Exceptional 4.5% |
Swiss | 100.0 /100 | #10 | Exceptional 4.6% |
Scandinavians | 100.0 /100 | #11 | Exceptional 4.6% |
Dutch | 100.0 /100 | #12 | Exceptional 4.6% |
Belgians | 100.0 /100 | #13 | Exceptional 4.6% |
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% |