Latvian vs Zimbabwean Female Unemployment
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Latvian
Zimbabwean
Female Unemployment
Female Unemployment Comparison
Latvians
Zimbabweans
4.7%
FEMALE UNEMPLOYMENT
99.9/ 100
METRIC RATING
18th/ 347
METRIC RANK
4.8%
FEMALE UNEMPLOYMENT
99.7/ 100
METRIC RATING
34th/ 347
METRIC RANK
Latvian vs Zimbabwean Female Unemployment Correlation Chart
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%. 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 2.3%.
Female Unemployment Correlation Summary
Measurement | Latvian | Zimbabwean |
Minimum | 0.60% | 0.30% |
Maximum | 24.5% | 10.3% |
Range | 23.9% | 10.0% |
Mean | 5.3% | 4.5% |
Median | 4.3% | 4.5% |
Interquartile 25% (IQ1) | 3.4% | 3.1% |
Interquartile 75% (IQ3) | 5.8% | 5.7% |
Interquartile Range (IQR) | 2.4% | 2.6% |
Standard Deviation (Sample) | 4.3% | 2.0% |
Standard Deviation (Population) | 4.2% | 2.0% |
Demographics Similar to Latvians and Zimbabweans by Female Unemployment
In terms of female unemployment, 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%). Similarly, the demographic groups most similar to Zimbabweans are Czechoslovakian (4.8%, a difference of 0.030%), French Canadian (4.8%, a difference of 0.060%), Yugoslavian (4.8%, a difference of 0.21%), Slovak (4.8%, a difference of 0.54%), and Sudanese (4.8%, a difference of 0.68%).
Demographics | Rating | Rank | Female Unemployment |
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% |
French Canadians | 99.7 /100 | #35 | Exceptional 4.8% |
Yugoslavians | 99.7 /100 | #36 | Exceptional 4.8% |