Danish vs Welsh Female Unemployment
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Danish
Welsh
Female Unemployment
Female Unemployment Comparison
Danes
Welsh
4.4%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
4th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
24th/ 347
METRIC RANK
Danish vs Welsh Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 467,603,755 people shows a poor positive correlation between the proportion of Danes and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.136 and weighted average of 4.4%. Similarly, the statistical analysis conducted on geographies consisting of 519,058,145 people shows a very strong positive correlation between the proportion of Welsh and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.865 and weighted average of 4.7%, a difference of 7.6%.

Female Unemployment Correlation Summary
Measurement | Danish | Welsh |
Minimum | 1.4% | 2.8% |
Maximum | 26.7% | 75.0% |
Range | 25.3% | 72.2% |
Mean | 5.4% | 14.8% |
Median | 3.8% | 6.5% |
Interquartile 25% (IQ1) | 2.9% | 5.0% |
Interquartile 75% (IQ3) | 5.9% | 16.5% |
Interquartile Range (IQR) | 3.0% | 11.5% |
Standard Deviation (Sample) | 4.6% | 17.8% |
Standard Deviation (Population) | 4.5% | 17.7% |
Demographics Similar to Danes and Welsh by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Danes are Hmong (4.4%, a difference of 0.11%), Swedish (4.4%, a difference of 1.3%), Chinese (4.5%, a difference of 2.1%), German (4.5%, a difference of 2.1%), and Slovene (4.5%, a difference of 2.5%). Similarly, the demographic groups most similar to Welsh are Scottish (4.7%, a difference of 0.21%), European (4.7%, a difference of 0.76%), Fijian (4.7%, a difference of 0.78%), Bulgarian (4.7%, a difference of 0.79%), and Polish (4.7%, a difference of 0.87%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Welsh | 99.9 /100 | #24 | Exceptional 4.7% |