Welsh vs Chinese Male Unemployment
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Welsh
Chinese
Male Unemployment
Male Unemployment Comparison
Welsh
Chinese
4.8%
MALE UNEMPLOYMENT
99.7/ 100
METRIC RATING
34th/ 347
METRIC RANK
4.9%
MALE UNEMPLOYMENT
99.3/ 100
METRIC RATING
41st/ 347
METRIC RANK
Welsh vs Chinese Male Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 521,279,877 people shows a significant positive correlation between the proportion of Welsh and unemployment rate among males in the United States with a correlation coefficient (R) of 0.622 and weighted average of 4.8%. Similarly, the statistical analysis conducted on geographies consisting of 64,756,701 people shows a mild positive correlation between the proportion of Chinese and unemployment rate among males in the United States with a correlation coefficient (R) of 0.327 and weighted average of 4.9%, a difference of 1.4%.

Male Unemployment Correlation Summary
Measurement | Welsh | Chinese |
Minimum | 0.80% | 0.80% |
Maximum | 54.7% | 20.8% |
Range | 53.9% | 20.0% |
Mean | 11.1% | 5.8% |
Median | 6.8% | 4.8% |
Interquartile 25% (IQ1) | 4.9% | 3.7% |
Interquartile 75% (IQ3) | 11.6% | 6.7% |
Interquartile Range (IQR) | 6.7% | 2.9% |
Standard Deviation (Sample) | 11.5% | 3.8% |
Standard Deviation (Population) | 11.3% | 3.8% |
Demographics Similar to Welsh and Chinese by Male Unemployment
In terms of male unemployment, the demographic groups most similar to Welsh are Latvian (4.8%, a difference of 0.080%), Immigrants from Nepal (4.8%, a difference of 0.38%), Sudanese (4.8%, a difference of 0.40%), British (4.8%, a difference of 0.65%), and Paraguayan (4.9%, a difference of 0.85%). Similarly, the demographic groups most similar to Chinese are Immigrants from Belgium (4.9%, a difference of 0.020%), Northern European (4.9%, a difference of 0.080%), Immigrants from Japan (4.9%, a difference of 0.13%), Burmese (4.9%, a difference of 0.17%), and Immigrants from Bosnia and Herzegovina (4.9%, a difference of 0.24%).
Demographics | Rating | Rank | Male Unemployment |
Belgians | 99.9 /100 | #27 | Exceptional 4.8% |
Bulgarians | 99.8 /100 | #28 | Exceptional 4.8% |
Scottish | 99.8 /100 | #29 | Exceptional 4.8% |
British | 99.8 /100 | #30 | Exceptional 4.8% |
Sudanese | 99.8 /100 | #31 | Exceptional 4.8% |
Immigrants | Nepal | 99.8 /100 | #32 | Exceptional 4.8% |
Latvians | 99.7 /100 | #33 | Exceptional 4.8% |
Welsh | 99.7 /100 | #34 | Exceptional 4.8% |
Paraguayans | 99.5 /100 | #35 | Exceptional 4.9% |
Immigrants | Singapore | 99.4 /100 | #36 | Exceptional 4.9% |
Scotch-Irish | 99.4 /100 | #37 | Exceptional 4.9% |
Immigrants | Bosnia and Herzegovina | 99.4 /100 | #38 | Exceptional 4.9% |
Burmese | 99.3 /100 | #39 | Exceptional 4.9% |
Northern Europeans | 99.3 /100 | #40 | Exceptional 4.9% |
Chinese | 99.3 /100 | #41 | Exceptional 4.9% |
Immigrants | Belgium | 99.2 /100 | #42 | Exceptional 4.9% |
Immigrants | Japan | 99.2 /100 | #43 | Exceptional 4.9% |
Immigrants | Korea | 99.1 /100 | #44 | Exceptional 4.9% |
Immigrants | Zimbabwe | 99.0 /100 | #45 | Exceptional 4.9% |
Bhutanese | 98.9 /100 | #46 | Exceptional 4.9% |
Austrians | 98.9 /100 | #47 | Exceptional 4.9% |