English vs Zimbabwean Female Unemployment
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English
Zimbabwean
Female Unemployment
Female Unemployment Comparison
English
Zimbabweans
4.6%
FEMALE UNEMPLOYMENT
100.0/ 100
METRIC RATING
15th/ 347
METRIC RANK
4.8%
FEMALE UNEMPLOYMENT
99.7/ 100
METRIC RATING
34th/ 347
METRIC RANK
English vs Zimbabwean Female Unemployment Correlation Chart
The statistical analysis conducted on geographies consisting of 563,002,519 people shows a significant positive correlation between the proportion of English and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.647 and weighted average of 4.6%. Similarly, the statistical analysis conducted on geographies consisting of 69,190,722 people shows no correlation between the proportion of Zimbabweans and unemploymnet rate among females in the United States with a correlation coefficient (R) of 0.033 and weighted average of 4.8%, a difference of 3.4%.
Female Unemployment Correlation Summary
| Measurement | English | Zimbabwean |
| Minimum | 2.5% | 0.30% |
| Maximum | 100.0% | 10.3% |
| Range | 97.5% | 10.0% |
| Mean | 12.9% | 4.5% |
| Median | 5.0% | 4.5% |
| Interquartile 25% (IQ1) | 4.1% | 3.1% |
| Interquartile 75% (IQ3) | 10.5% | 5.7% |
| Interquartile Range (IQR) | 6.4% | 2.6% |
| Standard Deviation (Sample) | 19.0% | 2.0% |
| Standard Deviation (Population) | 18.9% | 2.0% |
Demographics Similar to English and Zimbabweans by Female Unemployment
In terms of female unemployment, the demographic groups most similar to English are Finnish (4.6%, a difference of 0.20%), Carpatho Rusyn (4.7%, a difference of 0.85%), Croatian (4.7%, a difference of 0.87%), Latvian (4.7%, a difference of 1.0%), and Polish (4.7%, a difference of 1.0%). Similarly, the demographic groups most similar to Zimbabweans are Czechoslovakian (4.8%, a difference of 0.030%), Slovak (4.8%, a difference of 0.54%), Sudanese (4.8%, a difference of 0.68%), Lithuanian (4.7%, a difference of 0.96%), and Irish (4.7%, a difference of 1.1%).
| Demographics | Rating | Rank | Female Unemployment |
| 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% |
| Welsh | 99.9 /100 | #24 | Exceptional 4.7% |
| Immigrants | India | 99.9 /100 | #25 | Exceptional 4.7% |
| Immigrants | Bosnia and Herzegovina | 99.9 /100 | #26 | Exceptional 4.7% |
| British | 99.9 /100 | #27 | Exceptional 4.7% |
| Irish | 99.9 /100 | #28 | Exceptional 4.7% |
| Cypriots | 99.9 /100 | #29 | Exceptional 4.7% |
| Lithuanians | 99.8 /100 | #30 | Exceptional 4.7% |
| Sudanese | 99.8 /100 | #31 | Exceptional 4.8% |
| Slovaks | 99.8 /100 | #32 | Exceptional 4.8% |
| Czechoslovakians | 99.7 /100 | #33 | Exceptional 4.8% |
| Zimbabweans | 99.7 /100 | #34 | Exceptional 4.8% |