Chinese vs Swedish Female Unemployment
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Chinese
Swedish
Female Unemployment
Female Unemployment Comparison
Chinese
Swedes
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.4%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
6th/ 347
METRIC RANK
Chinese vs Swedish Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 64,725,695 people shows no correlation between the proportion of Chinese and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.049 and weighted average of 4.5%. Similarly, the statistical analysis conducted on geographies consisting of 528,532,486 people shows a strong positive correlation between the proportion of Swedes and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.700 and weighted average of 4.4%, a difference of 0.77%.
Female Unemployment Correlation Summary
Measurement | Chinese | Swedish |
Minimum | 1.8% | 0.50% |
Maximum | 10.0% | 87.9% |
Range | 8.2% | 87.4% |
Mean | 4.5% | 11.3% |
Median | 4.1% | 4.2% |
Interquartile 25% (IQ1) | 3.3% | 3.7% |
Interquartile 75% (IQ3) | 5.8% | 6.5% |
Interquartile Range (IQR) | 2.5% | 2.8% |
Standard Deviation (Sample) | 1.9% | 18.9% |
Standard Deviation (Population) | 1.9% | 18.8% |
Demographics Similar to Chinese and Swedes by Female Unemployment
In terms of female unemployment, the demographic groups most similar to Chinese are German (4.5%, a difference of 0.020%), Slovene (4.5%, a difference of 0.38%), Swiss (4.6%, a difference of 1.7%), Scandinavian (4.6%, a difference of 1.8%), and Hmong (4.4%, a difference of 2.0%). Similarly, the demographic groups most similar to Swedes are German (4.5%, a difference of 0.79%), Slovene (4.5%, a difference of 1.1%), Hmong (4.4%, a difference of 1.2%), Danish (4.4%, a difference of 1.3%), and Luxembourger (4.4%, a difference of 1.4%).
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% |