Zimbabwean vs Swiss Female Poverty
COMPARE
Zimbabwean
Swiss
Female Poverty
Female Poverty Comparison
Zimbabweans
Swiss
12.3%
FEMALE POVERTY
97.5/ 100
METRIC RATING
73rd/ 347
METRIC RANK
12.2%
FEMALE POVERTY
97.7/ 100
METRIC RATING
69th/ 347
METRIC RANK
Zimbabwean vs Swiss Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 69,185,827 people shows a weak positive correlation between the proportion of Zimbabweans and poverty level among females in the United States with a correlation coefficient (R) of 0.277 and weighted average of 12.3%. Similarly, the statistical analysis conducted on geographies consisting of 464,552,447 people shows a weak positive correlation between the proportion of Swiss and poverty level among females in the United States with a correlation coefficient (R) of 0.275 and weighted average of 12.2%, a difference of 0.21%.
Female Poverty Correlation Summary
Measurement | Zimbabwean | Swiss |
Minimum | 2.2% | 1.9% |
Maximum | 21.7% | 50.0% |
Range | 19.5% | 48.1% |
Mean | 10.3% | 11.9% |
Median | 9.7% | 10.2% |
Interquartile 25% (IQ1) | 5.8% | 8.1% |
Interquartile 75% (IQ3) | 13.6% | 12.6% |
Interquartile Range (IQR) | 7.8% | 4.5% |
Standard Deviation (Sample) | 5.3% | 8.4% |
Standard Deviation (Population) | 5.2% | 8.3% |
Demographics Similar to Zimbabweans and Swiss by Female Poverty
In terms of female poverty, the demographic groups most similar to Zimbabweans are Immigrants from Canada (12.3%, a difference of 0.010%), Cambodian (12.2%, a difference of 0.020%), Carpatho Rusyn (12.2%, a difference of 0.050%), European (12.3%, a difference of 0.13%), and Immigrants from Belgium (12.2%, a difference of 0.18%). Similarly, the demographic groups most similar to Swiss are Immigrants from Belgium (12.2%, a difference of 0.030%), Immigrants from Netherlands (12.2%, a difference of 0.10%), Immigrants from Eastern Asia (12.2%, a difference of 0.14%), Carpatho Rusyn (12.2%, a difference of 0.15%), and Cambodian (12.2%, a difference of 0.19%).
Demographics | Rating | Rank | Female Poverty |
Immigrants | Asia | 98.1 /100 | #61 | Exceptional 12.2% |
Immigrants | Italy | 98.0 /100 | #62 | Exceptional 12.2% |
Ukrainians | 98.0 /100 | #63 | Exceptional 12.2% |
Germans | 98.0 /100 | #64 | Exceptional 12.2% |
Indians (Asian) | 97.9 /100 | #65 | Exceptional 12.2% |
Austrians | 97.9 /100 | #66 | Exceptional 12.2% |
Immigrants | Eastern Asia | 97.8 /100 | #67 | Exceptional 12.2% |
Immigrants | Netherlands | 97.8 /100 | #68 | Exceptional 12.2% |
Swiss | 97.7 /100 | #69 | Exceptional 12.2% |
Immigrants | Belgium | 97.7 /100 | #70 | Exceptional 12.2% |
Carpatho Rusyns | 97.6 /100 | #71 | Exceptional 12.2% |
Cambodians | 97.5 /100 | #72 | Exceptional 12.2% |
Zimbabweans | 97.5 /100 | #73 | Exceptional 12.3% |
Immigrants | Canada | 97.5 /100 | #74 | Exceptional 12.3% |
Europeans | 97.4 /100 | #75 | Exceptional 12.3% |
Immigrants | Eastern Europe | 97.2 /100 | #76 | Exceptional 12.3% |
Serbians | 97.2 /100 | #77 | Exceptional 12.3% |
Egyptians | 97.2 /100 | #78 | Exceptional 12.3% |
Immigrants | North America | 97.1 /100 | #79 | Exceptional 12.3% |
Slovaks | 97.1 /100 | #80 | Exceptional 12.3% |
Immigrants | Sweden | 97.1 /100 | #81 | Exceptional 12.3% |