Chinese vs Polish Female Unemployment
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Chinese
Polish
Female Unemployment
Female Unemployment Comparison
Chinese
Poles
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
19th/ 347
METRIC RANK
Chinese vs Polish 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 548,133,946 people shows a moderate positive correlation between the proportion of Poles and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.407 and weighted average of 4.7%, a difference of 4.4%.
Female Unemployment Correlation Summary
Measurement | Chinese | Polish |
Minimum | 1.8% | 1.7% |
Maximum | 10.0% | 50.0% |
Range | 8.2% | 48.3% |
Mean | 4.5% | 6.9% |
Median | 4.1% | 4.5% |
Interquartile 25% (IQ1) | 3.3% | 4.0% |
Interquartile 75% (IQ3) | 5.8% | 5.3% |
Interquartile Range (IQR) | 2.5% | 1.3% |
Standard Deviation (Sample) | 1.9% | 9.1% |
Standard Deviation (Population) | 1.9% | 9.1% |
Demographics Similar to Chinese and Poles 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 Poles are Latvian (4.7%, a difference of 0.010%), Bulgarian (4.7%, a difference of 0.080%), Fijian (4.7%, a difference of 0.090%), European (4.7%, a difference of 0.11%), and Croatian (4.7%, a difference of 0.16%).
Demographics | Rating | Rank | Female Unemployment |
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% |
Fijians | 99.9 /100 | #21 | Exceptional 4.7% |
Europeans | 99.9 /100 | #22 | Exceptional 4.7% |
Scottish | 99.9 /100 | #23 | Exceptional 4.7% |