Using Moody's methodology of calculating law school employment percentages for 2013, set out here, this is the first quartile of schools. For efficiency, I copied the name as used by the ABA, and ran out the portion employed per Excel's default. (The list is after the jump…)
|
SCHOOL NAME |
PORTION EMPLOYED |
|
VIRGINIA, UNIVERSITY OF |
0.975274725 |
|
PENNSYLVANIA, UNIVERSITY OF |
0.972972973 |
|
CHICAGO, UNIVERSITY OF |
0.972093023 |
|
COLUMBIA UNIVERSITY |
0.970251716 |
|
EMORY UNIVERSITY |
0.969178082 |
|
HARVARD UNIVERSITY |
0.958477509 |
|
NEW YORK UNIVERSITY |
0.95716946 |
|
ARIZONA STATE UNIVERSITY |
0.946078431 |
|
NORTHWESTERN UNIVERSITY |
0.943661972 |
|
MINNESOTA, UNIVERSITY OF |
0.934306569 |
|
DUKE UNIVERSITY |
0.933609959 |
|
STANFORD UNIVERSITY |
0.932989691 |
|
VANDERBILT UNIVERSITY |
0.927184466 |
|
CALIFORNIA-BERKELEY, UNIVERSITY OF |
0.920265781 |
|
GEORGE WASHINGTON UNIVERSITY |
0.913764511 |
|
CORNELL UNIVERSITY |
0.911917098 |
|
GEORGETOWN UNIVERSITY |
0.911627907 |
|
OHIO STATE UNIVERSITY |
0.911111111 |
|
CALIFORNIA-LOS ANGELES, UNIVERSITY OF |
0.909638554 |
|
IOWA, UNIVERSITY OF |
0.905263158 |
|
YALE UNIVERSITY |
0.896551724 |
|
MICHIGAN, UNIVERSITY OF |
0.892230576 |
|
TEXAS AT AUSTIN, UNIVERSITY OF |
0.888888889 |
|
COLORADO, UNIVERSITY OF |
0.886363636 |
|
GEORGE MASON UNIVERSITY |
0.88627451 |
|
ALABAMA, UNIVERSITY OF |
0.885542169 |
|
BRIGHAM YOUNG UNIVERSITY |
0.884353741 |
|
FLORIDA STATE UNIVERSITY |
0.877637131 |
|
NEW MEXICO, UNIVERSITY OF |
0.877192982 |
|
UTAH, UNIVERSITY OF |
0.875862069 |
|
WILLIAM AND MARY LAW SCHOOL |
0.875576037 |
|
WASHINGTON, UNIVERSITY OF |
0.87431694 |
|
CALIFORNIA-DAVIS, UNIVERSITY OF |
0.87244898 |
|
SOUTHERN METHODIST UNIVERSITY |
0.870445344 |
|
TENNESSEE, UNIVERSITY OF |
0.868263473 |
|
KENTUCKY, UNIVERSITY OF |
0.864661654 |
|
WASHINGTON UNIVERSITY |
0.863333333 |
|
INDIANA UNIVERSITY – BLOOMINGTON |
0.862831858 |
|
CASE WESTERN RESERVE UNIVERSITY |
0.862068966 |
|
BOSTON UNIVERSITY |
0.85971223 |
|
SOUTH DAKOTA, UNIVERSITY OF |
0.85915493 |
|
OKLAHOMA CITY UNIVERSITY |
0.858823529 |
|
FORDHAM UNIVERSITY |
0.858627859 |
|
ILLINOIS, UNIVERSITY OF |
0.857142857 |
|
MISSOURI, UNIVERSITY OF |
0.854961832 |
|
WILLAMETTE UNIVERSITY |
0.853658537 |
|
OKLAHOMA, UNIVERSITY OF |
0.85326087 |
|
KANSAS, UNIVERSITY OF |
0.843930636 |
|
FLORIDA INTERNATIONAL UNIVERSITY |
0.843373494 |
|
NOTRE DAME, UNIVERSITY OF |
0.842391304 |
Thanks for taking the time to crunch (or have crunched) all the numbers.
It seems that while showing aggregated quartiles per Moody's method provides a nice visual way to get the point across that outcomes vary considerably depending on which "chunk" you're looking at, once you begin looking at individual schools the "most everything goes into the pot" aspect of Moody's method really runs the hazard of being significantly misleading.
Emory is a very good example of this – top 5 using this method as you demonstrate in your chart above. But as you also mention, this includes school-funded jobs.
Emory has 67 grads in such jobs – nearly a quarter (23.7%) of what otherwise looks like a truly wonderful ~ 97% JD/JDA placement rate.
What happens to those 67 school-funded jobs next year? Those actually at the school (library, CSO, other administrivial tasks) are certainly gone next year to make way for the next wave of unemployed graduates needing a position. To the extent that Emory's school-funded jobs may be funded jobs in industry/firms/other, perhaps those will turn into real jobs.
But I don't know whether any, or if any, how many of Emory's school-funded jobs are jobs outside of the school itself.
I'll add that the Moody's methodology seems to also count putative solos, which is problematic for reasons that should be pretty obvious.
"seems to also count putative solos, which is problematic "
Not so much in that first quartile, though! 🙂
Fair point!