Immigrants from Israel In Labor Force | Age 25-29
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Immigrants from Israel
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In Labor Force | Age 25-29
Immigrants from Israel In Labor Force | Age 25-29
84.4%
IN LABOR FORCE | AGE 25-29
20.8/ 100
METRIC RATING
195th/ 347
METRIC RANK
Immigrants from Israel In Labor Force | Age 25-29 Correlation Chart
The statistical analysis conducted on geographies consisting of 209,997,538 people shows a mild positive correlation between the proportion of Immigrants from Israel and labor force participation rate among population between the ages 25 and 29 in the United States with a correlation coefficient (R) of 0.348 and weighted average of 84.4%. On average, for every 1% (one percent) increase in Immigrants from Israel within a typical geography, there is an increase of 1.4% in labor force participation rate among population between the ages 25 and 29.
It is essential to understand that the correlation between the percentage of Immigrants from Israel and labor force participation rate among population between the ages 25 and 29 does not imply a direct cause-and-effect relationship. It remains uncertain whether the presence of Immigrants from Israel influences an upward or downward trend in the level of labor force participation rate among population between the ages 25 and 29 within an area, or if Immigrants from Israel simply ended up residing in those areas with higher or lower levels of labor force participation rate among population between the ages 25 and 29 due to other factors.
Demographics Similar to Immigrants from Israel by In Labor Force | Age 25-29
In terms of in labor force | age 25-29, the demographic groups most similar to Immigrants from Israel are Portuguese (84.4%, a difference of 0.010%), Immigrants from South Eastern Asia (84.4%, a difference of 0.010%), Tlingit-Haida (84.4%, a difference of 0.020%), Immigrants from Iraq (84.4%, a difference of 0.020%), and Immigrants from Germany (84.4%, a difference of 0.030%).
| Demographics | Rating | Rank | In Labor Force | Age 25-29 |
| Immigrants from Ukraine | 33.7 /100 | #188 | Fair 84.5% |
| Moroccans | 32.6 /100 | #189 | Fair 84.5% |
| Welsh | 31.1 /100 | #190 | Fair 84.5% |
| Zimbabweans | 28.7 /100 | #191 | Fair 84.5% |
| English | 25.8 /100 | #192 | Fair 84.5% |
| South American Indians | 25.0 /100 | #193 | Fair 84.5% |
| Portuguese | 21.2 /100 | #194 | Fair 84.4% |
| Immigrants from Israel | 20.8 /100 | #195 | Fair 84.4% |
| Immigrants from South Eastern Asia | 19.5 /100 | #196 | Poor 84.4% |
| Tlingit-Haida | 19.3 /100 | #197 | Poor 84.4% |
| Immigrants from Iraq | 19.0 /100 | #198 | Poor 84.4% |
| Immigrants from Germany | 18.3 /100 | #199 | Poor 84.4% |
| Immigrants from Kazakhstan | 17.5 /100 | #200 | Poor 84.4% |
| Laotians | 16.6 /100 | #201 | Poor 84.4% |
| Afghans | 15.9 /100 | #202 | Poor 84.4% |
Immigrants from Israel In Labor Force | Age 25-29 Correlation Summary
| Measurement | Immigrants from Israel Data | In Labor Force | Age 25-29 Data |
| Minimum | 0.027% | 60.3% |
| Maximum | 11.8% | 100.0% |
| Range | 11.8% | 39.7% |
| Mean | 2.6% | 84.7% |
| Median | 1.9% | 84.8% |
| Interquartile 25% (IQ1) | 0.97% | 79.5% |
| Interquartile 75% (IQ3) | 3.3% | 90.2% |
| Interquartile Range (IQR) | 2.3% | 10.7% |
| Standard Deviation (Sample) | 2.6% | 9.9% |
| Standard Deviation (Population) | 2.5% | 9.9% |
Correlation Details
| Immigrants from Israel Percentile | Sample Size | In Labor Force | Age 25-29 |
[ 0.0% - 0.5% ] 0.027% | 115,562,536 | 84.9% |
[ 0.0% - 0.5% ] 0.087% | 38,220,884 | 85.8% |
[ 0.0% - 0.5% ] 0.15% | 13,707,584 | 85.0% |
[ 0.0% - 0.5% ] 0.22% | 16,550,335 | 84.5% |
[ 0.0% - 0.5% ] 0.27% | 6,134,219 | 84.6% |
[ 0.0% - 0.5% ] 0.32% | 7,159,738 | 84.2% |
[ 0.0% - 0.5% ] 0.39% | 2,289,007 | 83.9% |
[ 0.0% - 0.5% ] 0.45% | 1,619,377 | 85.6% |
[ 0.5% - 1.0% ] 0.51% | 1,376,649 | 85.1% |
[ 0.5% - 1.0% ] 0.57% | 827,315 | 83.8% |
[ 0.5% - 1.0% ] 0.63% | 966,767 | 85.2% |
[ 0.5% - 1.0% ] 0.70% | 601,057 | 86.0% |
[ 0.5% - 1.0% ] 0.76% | 645,270 | 86.0% |
[ 0.5% - 1.0% ] 0.81% | 481,775 | 85.7% |
[ 0.5% - 1.0% ] 0.87% | 631,732 | 79.6% |
[ 0.5% - 1.0% ] 0.94% | 647,171 | 83.6% |
[ 0.5% - 1.0% ] 1.00% | 218,851 | 86.2% |
[ 1.0% - 1.5% ] 1.06% | 260,244 | 79.9% |
[ 1.0% - 1.5% ] 1.12% | 346,940 | 85.5% |
[ 1.0% - 1.5% ] 1.15% | 184,583 | 84.1% |
[ 1.0% - 1.5% ] 1.24% | 112,624 | 78.5% |
[ 1.0% - 1.5% ] 1.28% | 149,842 | 85.5% |
[ 1.0% - 1.5% ] 1.36% | 88,001 | 79.0% |
[ 1.0% - 1.5% ] 1.41% | 99,222 | 78.2% |
[ 1.0% - 1.5% ] 1.47% | 40,038 | 92.1% |
[ 1.5% - 2.0% ] 1.55% | 87,328 | 76.7% |
[ 1.5% - 2.0% ] 1.59% | 109,896 | 80.5% |
[ 1.5% - 2.0% ] 1.63% | 1,350 | 100.0% |
[ 1.5% - 2.0% ] 1.71% | 49,604 | 82.5% |
[ 1.5% - 2.0% ] 1.78% | 121,872 | 71.9% |
[ 1.5% - 2.0% ] 1.81% | 81,900 | 90.5% |
[ 1.5% - 2.0% ] 1.89% | 5,558 | 62.1% |
[ 1.5% - 2.0% ] 1.95% | 59,070 | 91.7% |
[ 2.0% - 2.5% ] 2.01% | 1,445 | 76.2% |
[ 2.0% - 2.5% ] 2.08% | 6,244 | 72.0% |
[ 2.0% - 2.5% ] 2.14% | 57,239 | 79.4% |
[ 2.0% - 2.5% ] 2.27% | 56,391 | 83.0% |
[ 2.0% - 2.5% ] 2.34% | 13,401 | 80.7% |
[ 2.0% - 2.5% ] 2.37% | 18,693 | 89.8% |
[ 2.5% - 3.0% ] 2.58% | 16,190 | 85.8% |
[ 2.5% - 3.0% ] 2.62% | 62,698 | 87.3% |
[ 2.5% - 3.0% ] 2.69% | 74,332 | 84.8% |
[ 2.5% - 3.0% ] 2.73% | 1,136 | 100.0% |
[ 2.5% - 3.0% ] 2.81% | 39,621 | 73.2% |
[ 2.5% - 3.0% ] 2.96% | 5,070 | 67.0% |
[ 3.0% - 3.5% ] 3.09% | 6,764 | 75.1% |
[ 3.0% - 3.5% ] 3.17% | 42,155 | 60.3% |
[ 3.0% - 3.5% ] 3.23% | 31,910 | 100.0% |
[ 3.0% - 3.5% ] 3.33% | 32,881 | 81.1% |
[ 3.0% - 3.5% ] 3.43% | 962 | 61.6% |
[ 3.5% - 4.0% ] 3.65% | 1,207 | 100.0% |
[ 3.5% - 4.0% ] 3.77% | 106 | 100.0% |
[ 3.5% - 4.0% ] 3.82% | 2,750 | 70.2% |
[ 4.0% - 4.5% ] 4.10% | 20,411 | 88.5% |
[ 4.5% - 5.0% ] 4.66% | 1,438 | 100.0% |
[ 4.5% - 5.0% ] 4.70% | 31,517 | 83.3% |
[ 5.0% - 5.5% ] 5.20% | 3,440 | 95.9% |
[ 5.0% - 5.5% ] 5.35% | 1,066 | 100.0% |
[ 6.0% - 6.5% ] 6.49% | 18,210 | 93.8% |
[ 6.5% - 7.0% ] 6.96% | 9,860 | 100.0% |
[ 8.0% - 8.5% ] 8.42% | 1,366 | 72.9% |
[ 10.0% - 10.5% ] 10.39% | 308 | 100.0% |
[ 10.5% - 11.0% ] 10.85% | 295 | 100.0% |
[ 11.5% - 12.0% ] 11.83% | 93 | 100.0% |