Chinese vs Hmong Female Unemployment
COMPARE
Chinese
Hmong
Female Unemployment
Female Unemployment Comparison
Chinese
Hmong
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.4%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
5th/ 347
METRIC RANK
Chinese vs Hmong 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 24,652,438 people shows a poor negative correlation between the proportion of Hmong and unemploymnet rate among females in the United States with a correlation coefficient (R) of -0.153 and weighted average of 4.4%, a difference of 2.0%.
Female Unemployment Correlation Summary
Measurement | Chinese | Hmong |
Minimum | 1.8% | 1.0% |
Maximum | 10.0% | 10.0% |
Range | 8.2% | 9.0% |
Mean | 4.5% | 5.1% |
Median | 4.1% | 5.2% |
Interquartile 25% (IQ1) | 3.3% | 4.0% |
Interquartile 75% (IQ3) | 5.8% | 6.1% |
Interquartile Range (IQR) | 2.5% | 2.0% |
Standard Deviation (Sample) | 1.9% | 2.0% |
Standard Deviation (Population) | 1.9% | 2.0% |
Demographics Similar to Chinese and Hmong 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 Hmong are Danish (4.4%, a difference of 0.11%), Luxembourger (4.4%, a difference of 0.14%), Czech (4.4%, a difference of 0.15%), Swedish (4.4%, a difference of 1.2%), and German (4.5%, a difference of 2.0%).
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% |