Chinese vs Latvian Female Unemployment
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Chinese
Latvian
Female Unemployment
Female Unemployment Comparison
Chinese
Latvians
4.5%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
7th/ 347
METRIC RANK
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
18th/ 347
METRIC RANK
Chinese vs Latvian 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 220,201,927 people shows a weak positive correlation between the proportion of Latvians and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.215 and weighted average of 4.7%, a difference of 4.4%.
Female Unemployment Correlation Summary
| Measurement | Chinese | Latvian |
| Minimum | 1.8% | 0.60% |
| Maximum | 10.0% | 24.5% |
| Range | 8.2% | 23.9% |
| Mean | 4.5% | 5.3% |
| Median | 4.1% | 4.3% |
| Interquartile 25% (IQ1) | 3.3% | 3.4% |
| Interquartile 75% (IQ3) | 5.8% | 5.8% |
| Interquartile Range (IQR) | 2.5% | 2.4% |
| Standard Deviation (Sample) | 1.9% | 4.3% |
| Standard Deviation (Population) | 1.9% | 4.2% |
Demographics Similar to Chinese and Latvians 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 Latvians are Polish (4.7%, a difference of 0.010%), Bulgarian (4.7%, a difference of 0.090%), Fijian (4.7%, a difference of 0.10%), European (4.7%, a difference of 0.12%), and Croatian (4.7%, a difference of 0.14%).
| 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% |