Chinese vs Luxembourger Female Unemployment
COMPARE
Chinese
Luxembourger
Female Unemployment
Female Unemployment Comparison
Chinese
Luxembourgers
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.4%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
3rd/ 347
METRIC RANK
Chinese vs Luxembourger 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 144,033,637 people shows a significant positive correlation between the proportion of Luxembourgers and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.613 and weighted average of 4.4%, a difference of 2.2%.

Female Unemployment Correlation Summary
Measurement | Chinese | Luxembourger |
Minimum | 1.8% | 0.50% |
Maximum | 10.0% | 23.6% |
Range | 8.2% | 23.1% |
Mean | 4.5% | 4.4% |
Median | 4.1% | 3.7% |
Interquartile 25% (IQ1) | 3.3% | 1.8% |
Interquartile 75% (IQ3) | 5.8% | 5.1% |
Interquartile Range (IQR) | 2.5% | 3.2% |
Standard Deviation (Sample) | 1.9% | 4.2% |
Standard Deviation (Population) | 1.9% | 4.2% |
Demographics Similar to Chinese and Luxembourgers 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 Luxembourgers are Czech (4.4%, a difference of 0.010%), Danish (4.4%, a difference of 0.030%), Hmong (4.4%, a difference of 0.14%), Swedish (4.4%, a difference of 1.4%), and German (4.5%, a difference of 2.2%).
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% |