Hmong vs Polish Female Unemployment
COMPARE
Hmong
Polish
Female Unemployment
Female Unemployment Comparison
Hmong
Poles
4.4%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
5th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
19th/ 347
METRIC RANK
Hmong vs Polish Female Unemployment Correlation Chart
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%. 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 6.6%.
Female Unemployment Correlation Summary
| Measurement | Hmong | Polish |
| Minimum | 1.0% | 1.7% |
| Maximum | 10.0% | 50.0% |
| Range | 9.0% | 48.3% |
| Mean | 5.1% | 6.9% |
| Median | 5.2% | 4.5% |
| Interquartile 25% (IQ1) | 4.0% | 4.0% |
| Interquartile 75% (IQ3) | 6.1% | 5.3% |
| Interquartile Range (IQR) | 2.0% | 1.3% |
| Standard Deviation (Sample) | 2.0% | 9.1% |
| Standard Deviation (Population) | 2.0% | 9.1% |
Demographics Similar to Hmong and Poles by Female Unemployment
In terms of female unemployment, 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 Chinese (4.5%, a difference of 2.0%). 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 |
| 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% |
| Fijians | 99.9 /100 | #21 | Exceptional 4.7% |
| Europeans | 99.9 /100 | #22 | Exceptional 4.7% |