Immigrants from Lithuania vs Tsimshian Female Poverty
COMPARE
Immigrants from Lithuania
Tsimshian
Female Poverty
Female Poverty Comparison
Immigrants from Lithuania
Tsimshian
11.3%
FEMALE POVERTY
99.9/ 100
METRIC RATING
13th/ 347
METRIC RANK
13.1%
FEMALE POVERTY
75.5/ 100
METRIC RATING
150th/ 347
METRIC RANK
Immigrants from Lithuania vs Tsimshian Female Poverty Correlation Chart
The statistical analysis conducted on geographies consisting of 117,711,686 people shows a mild positive correlation between the proportion of Immigrants from Lithuania and poverty level among females in the United States with a correlation coefficient (R) of 0.384 and weighted average of 11.3%. Similarly, the statistical analysis conducted on geographies consisting of 15,626,462 people shows a slight negative correlation between the proportion of Tsimshian and poverty level among females in the United States with a correlation coefficient (R) of -0.062 and weighted average of 13.1%, a difference of 15.9%.
![Immigrants from Lithuania vs Tsimshian Female Poverty](/correlation-charts/metric-comparison/female-poverty/immigrants-from-lithuania-vs-tsimshian-female-poverty-chart.webp)
Female Poverty Correlation Summary
Measurement | Immigrants from Lithuania | Tsimshian |
Minimum | 0.39% | 2.2% |
Maximum | 25.2% | 27.8% |
Range | 24.8% | 25.6% |
Mean | 8.8% | 14.0% |
Median | 8.3% | 13.1% |
Interquartile 25% (IQ1) | 5.5% | 10.4% |
Interquartile 75% (IQ3) | 10.6% | 17.6% |
Interquartile Range (IQR) | 5.1% | 7.2% |
Standard Deviation (Sample) | 5.0% | 7.2% |
Standard Deviation (Population) | 4.9% | 6.9% |
Similar Demographics by Female Poverty
Demographics Similar to Immigrants from Lithuania by Female Poverty
In terms of female poverty, the demographic groups most similar to Immigrants from Lithuania are Bhutanese (11.3%, a difference of 0.010%), Maltese (11.2%, a difference of 0.47%), Immigrants from Hong Kong (11.2%, a difference of 0.58%), Lithuanian (11.4%, a difference of 0.96%), and Latvian (11.4%, a difference of 1.3%).
Demographics | Rating | Rank | Female Poverty |
Immigrants | Ireland | 99.9 /100 | #6 | Exceptional 11.0% |
Assyrians/Chaldeans/Syriacs | 99.9 /100 | #7 | Exceptional 11.0% |
Immigrants | South Central Asia | 99.9 /100 | #8 | Exceptional 11.1% |
Bulgarians | 99.9 /100 | #9 | Exceptional 11.1% |
Immigrants | Hong Kong | 99.9 /100 | #10 | Exceptional 11.2% |
Maltese | 99.9 /100 | #11 | Exceptional 11.2% |
Bhutanese | 99.9 /100 | #12 | Exceptional 11.3% |
Immigrants | Lithuania | 99.9 /100 | #13 | Exceptional 11.3% |
Lithuanians | 99.8 /100 | #14 | Exceptional 11.4% |
Latvians | 99.8 /100 | #15 | Exceptional 11.4% |
Immigrants | Bolivia | 99.8 /100 | #16 | Exceptional 11.5% |
Bolivians | 99.8 /100 | #17 | Exceptional 11.5% |
Immigrants | Scotland | 99.8 /100 | #18 | Exceptional 11.5% |
Norwegians | 99.8 /100 | #19 | Exceptional 11.5% |
Eastern Europeans | 99.7 /100 | #20 | Exceptional 11.5% |
Demographics Similar to Tsimshian by Female Poverty
In terms of female poverty, the demographic groups most similar to Tsimshian are Taiwanese (13.1%, a difference of 0.030%), Immigrants from Germany (13.1%, a difference of 0.070%), Yugoslavian (13.1%, a difference of 0.19%), Samoan (13.1%, a difference of 0.24%), and Immigrants from Kazakhstan (13.0%, a difference of 0.44%).
Demographics | Rating | Rank | Female Poverty |
Immigrants | Malaysia | 80.4 /100 | #143 | Excellent 13.0% |
Afghans | 79.8 /100 | #144 | Good 13.0% |
Syrians | 79.6 /100 | #145 | Good 13.0% |
Immigrants | Peru | 79.1 /100 | #146 | Good 13.0% |
Immigrants | Kazakhstan | 78.6 /100 | #147 | Good 13.0% |
Yugoslavians | 76.9 /100 | #148 | Good 13.1% |
Taiwanese | 75.7 /100 | #149 | Good 13.1% |
Tsimshian | 75.5 /100 | #150 | Good 13.1% |
Immigrants | Germany | 74.9 /100 | #151 | Good 13.1% |
Samoans | 73.6 /100 | #152 | Good 13.1% |
Immigrants | Fiji | 71.0 /100 | #153 | Good 13.2% |
Armenians | 70.4 /100 | #154 | Good 13.2% |
Hungarians | 70.1 /100 | #155 | Good 13.2% |
Immigrants | Bosnia and Herzegovina | 69.7 /100 | #156 | Good 13.2% |
Immigrants | Northern Africa | 68.8 /100 | #157 | Good 13.2% |