Swiss vs Dutch Female Unemployment
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Swiss
Dutch
Female Unemployment
Female Unemployment Comparison
Swiss
Dutch
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
10th/ 347
METRIC RANK
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
12th/ 347
METRIC RANK
Swiss vs Dutch Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 458,890,724 people shows a mild positive correlation between the proportion of Swiss and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.315 and weighted average of 4.6%. Similarly, the statistical analysis conducted on geographies consisting of 542,310,807 people shows a weak negative correlation between the proportion of Dutch and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.264 and weighted average of 4.6%, a difference of 0.71%.
Female Unemployment Correlation Summary
| Measurement | Swiss | Dutch |
| Minimum | 0.70% | 0.30% |
| Maximum | 30.0% | 12.7% |
| Range | 29.3% | 12.4% |
| Mean | 4.9% | 4.1% |
| Median | 4.0% | 4.2% |
| Interquartile 25% (IQ1) | 2.9% | 2.5% |
| Interquartile 75% (IQ3) | 4.8% | 4.8% |
| Interquartile Range (IQR) | 1.9% | 2.3% |
| Standard Deviation (Sample) | 4.5% | 2.2% |
| Standard Deviation (Population) | 4.5% | 2.2% |
Demographics Similar to Swiss and Dutch by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Swiss are Scandinavian (4.6%, a difference of 0.11%), Belgian (4.6%, a difference of 0.86%), Slovene (4.5%, a difference of 1.3%), Finnish (4.6%, a difference of 1.5%), and English (4.6%, a difference of 1.7%). Similarly, the demographic groups most similar to Dutch are Belgian (4.6%, a difference of 0.15%), Scandinavian (4.6%, a difference of 0.59%), Finnish (4.6%, a difference of 0.75%), English (4.6%, a difference of 0.94%), and Carpatho Rusyn (4.7%, a difference of 1.8%).
| 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% |
| Fijians | 99.9 /100 | #21 | Exceptional 4.7% |