German vs Norwegian Female Unemployment
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German
Norwegian
Female Unemployment
Female Unemployment Comparison
Germans
Norwegians
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
8th/ 347
METRIC RANK
4.2%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
1st/ 347
METRIC RANK
German vs Norwegian Female Unemployment Correlation Chart
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%. Similarly, the statistical analysis conducted on geographies consisting of 523,312,817 people shows a slight positive correlation between the proportion of Norwegians and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.079 and weighted average of 4.2%, a difference of 7.6%.
Female Unemployment Correlation Summary
| Measurement | German | Norwegian |
| Minimum | 1.1% | 0.68% |
| Maximum | 32.1% | 11.1% |
| Range | 31.0% | 10.4% |
| Mean | 4.7% | 3.7% |
| Median | 3.8% | 3.3% |
| Interquartile 25% (IQ1) | 3.2% | 2.6% |
| Interquartile 75% (IQ3) | 4.7% | 4.2% |
| Interquartile Range (IQR) | 1.5% | 1.6% |
| Standard Deviation (Sample) | 3.7% | 1.9% |
| Standard Deviation (Population) | 3.6% | 1.9% |
Demographics Similar to Germans and Norwegians by Female Unemployment
In terms of female unemployment, 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%). Similarly, the demographic groups most similar to Norwegians are Czech (4.4%, a difference of 5.3%), Luxembourger (4.4%, a difference of 5.3%), Danish (4.4%, a difference of 5.4%), Hmong (4.4%, a difference of 5.5%), and Swedish (4.4%, a difference of 6.8%).
| Demographics | Rating | Rank | Female Unemployment |
| Norwegians | 100.0 /100 | #1 | Exceptional 4.2% |
| Czechs | 100.0 /100 | #2 | Exceptional 4.4% |
| 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% |