Chinese vs Welsh Female Unemployment
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Chinese
Welsh
Female Unemployment
Female Unemployment Comparison
Chinese
Welsh
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
24th/ 347
METRIC RANK
Chinese vs Welsh 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 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 5.4%.
Female Unemployment Correlation Summary
Measurement | Chinese | Welsh |
Minimum | 1.8% | 2.8% |
Maximum | 10.0% | 75.0% |
Range | 8.2% | 72.2% |
Mean | 4.5% | 14.8% |
Median | 4.1% | 6.5% |
Interquartile 25% (IQ1) | 3.3% | 5.0% |
Interquartile 75% (IQ3) | 5.8% | 16.5% |
Interquartile Range (IQR) | 2.5% | 11.5% |
Standard Deviation (Sample) | 1.9% | 17.8% |
Standard Deviation (Population) | 1.9% | 17.7% |
Demographics Similar to Chinese and Welsh 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%), Swedish (4.4%, a difference of 0.77%), Swiss (4.6%, a difference of 1.7%), and Scandinavian (4.6%, a difference of 1.8%). Similarly, the demographic groups most similar to Welsh are Immigrants from India (4.7%, a difference of 0.090%), Scottish (4.7%, a difference of 0.21%), European (4.7%, a difference of 0.76%), Fijian (4.7%, a difference of 0.78%), and Bulgarian (4.7%, a difference of 0.79%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Immigrants | India | 99.9 /100 | #25 | Exceptional 4.7% |