Burmese vs Tlingit-Haida Unemployment Among Ages 30 to 34 years
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Burmese
Tlingit-Haida
Unemployment Among Ages 30 to 34 years
Unemployment Among Ages 30 to 34 years Comparison
Burmese
Tlingit-Haida
5.1%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
96.5/ 100
METRIC RATING
67th/ 347
METRIC RANK
6.0%
UNEMPLOYMENT AMONG AGES 30 TO 34 YEARS
0.2/ 100
METRIC RATING
251st/ 347
METRIC RANK
Burmese vs Tlingit-Haida Unemployment Among Ages 30 to 34 years Correlation Chart
The statistical analysis conducted on geographies consisting of 431,223,716 people shows a slight negative correlation between the proportion of Burmese and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of -0.073 and weighted average of 5.1%. Similarly, the statistical analysis conducted on geographies consisting of 59,624,165 people shows a moderate positive correlation between the proportion of Tlingit-Haida and unemployment rate among population between the ages 30 and 34 in the United States with a correlation coefficient (R) of 0.435 and weighted average of 6.0%, a difference of 17.2%.
Unemployment Among Ages 30 to 34 years Correlation Summary
Measurement | Burmese | Tlingit-Haida |
Minimum | 1.6% | 0.60% |
Maximum | 12.3% | 50.0% |
Range | 10.7% | 49.4% |
Mean | 5.4% | 13.3% |
Median | 5.0% | 5.9% |
Interquartile 25% (IQ1) | 4.2% | 3.5% |
Interquartile 75% (IQ3) | 6.6% | 21.6% |
Interquartile Range (IQR) | 2.4% | 18.1% |
Standard Deviation (Sample) | 2.3% | 14.3% |
Standard Deviation (Population) | 2.3% | 14.0% |
Similar Demographics by Unemployment Among Ages 30 to 34 years
Demographics Similar to Burmese by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Burmese are Jordanian (5.1%, a difference of 0.010%), Immigrants from Northern Africa (5.1%, a difference of 0.020%), Immigrants from Iraq (5.1%, a difference of 0.020%), Paraguayan (5.1%, a difference of 0.030%), and Immigrants from Moldova (5.1%, a difference of 0.040%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Immigrants | Somalia | 97.1 /100 | #60 | Exceptional 5.1% |
Indians (Asian) | 97.0 /100 | #61 | Exceptional 5.1% |
Immigrants | France | 97.0 /100 | #62 | Exceptional 5.1% |
Belgians | 97.0 /100 | #63 | Exceptional 5.1% |
Immigrants | Eastern Asia | 96.9 /100 | #64 | Exceptional 5.1% |
Immigrants | Japan | 96.8 /100 | #65 | Exceptional 5.1% |
Immigrants | Zimbabwe | 96.7 /100 | #66 | Exceptional 5.1% |
Burmese | 96.5 /100 | #67 | Exceptional 5.1% |
Jordanians | 96.5 /100 | #68 | Exceptional 5.1% |
Immigrants | Northern Africa | 96.4 /100 | #69 | Exceptional 5.1% |
Immigrants | Iraq | 96.4 /100 | #70 | Exceptional 5.1% |
Paraguayans | 96.4 /100 | #71 | Exceptional 5.1% |
Immigrants | Moldova | 96.4 /100 | #72 | Exceptional 5.1% |
Slovenes | 96.2 /100 | #73 | Exceptional 5.2% |
Immigrants | Asia | 96.2 /100 | #74 | Exceptional 5.2% |
Demographics Similar to Tlingit-Haida by Unemployment Among Ages 30 to 34 years
In terms of unemployment among ages 30 to 34 years, the demographic groups most similar to Tlingit-Haida are Potawatomi (6.0%, a difference of 0.020%), Immigrants from Honduras (6.0%, a difference of 0.20%), Immigrants from Guatemala (6.0%, a difference of 0.29%), Honduran (6.0%, a difference of 0.29%), and Nigerian (6.0%, a difference of 0.30%).
Demographics | Rating | Rank | Unemployment Among Ages 30 to 34 years |
Immigrants | Micronesia | 0.3 /100 | #244 | Tragic 6.0% |
Sub-Saharan Africans | 0.3 /100 | #245 | Tragic 6.0% |
Ghanaians | 0.3 /100 | #246 | Tragic 6.0% |
Nigerians | 0.3 /100 | #247 | Tragic 6.0% |
Immigrants | Guatemala | 0.3 /100 | #248 | Tragic 6.0% |
Hondurans | 0.3 /100 | #249 | Tragic 6.0% |
Immigrants | Honduras | 0.3 /100 | #250 | Tragic 6.0% |
Tlingit-Haida | 0.2 /100 | #251 | Tragic 6.0% |
Potawatomi | 0.2 /100 | #252 | Tragic 6.0% |
Immigrants | Nonimmigrants | 0.2 /100 | #253 | Tragic 6.1% |
Armenians | 0.1 /100 | #254 | Tragic 6.1% |
Immigrants | Portugal | 0.1 /100 | #255 | Tragic 6.1% |
Immigrants | Ghana | 0.1 /100 | #256 | Tragic 6.1% |
Immigrants | Sierra Leone | 0.1 /100 | #257 | Tragic 6.1% |
Mexicans | 0.1 /100 | #258 | Tragic 6.1% |