Top variables that correlate with Popularity of the first name Jimmie

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Data source: US Social Security Administration
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Popularity of the first name Jimmie correlates with...

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Burglary rates in the US	r=0.96	38yrs	436
Remaining Forest Cover in the Brazilian Amazon	r=0.97	36yrs	434
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Uruguay	r=0.95	42yrs	429
Burglaries in New York	r=0.99	38yrs	420
Gasoline pumped in Bulgaria	r=0.94	42yrs	398
Air pollution in San Diego, California	r=0.96	43yrs	396
Air pollution in Oxnard, California	r=0.96	41yrs	394
Air pollution in Steamboat Springs, Colorado	r=0.95	38yrs	390
Burglaries in Connecticut	r=0.98	38yrs	388
The distance between Neptune and Mercury	r=0.95	48yrs	388
The number of prepress technicians and workers in California	r=0.95	20yrs	388
The number of fast food cooks in Michigan	r=0.95	20yrs	388
The number of prepress technicians and workers in Michigan	r=0.95	20yrs	388
The distance between Neptune and Earth	r=0.94	48yrs	386
The distance between Neptune and the moon	r=0.94	48yrs	386
US birth rates of triplets or more	r=0.92	20yrs	382
Average number of milk cows in the United States	r=0.87	43yrs	382
The divorce rate in Tennessee	r=0.94	23yrs	382
The wind speed in Austin	r=0.95	39yrs	379
Motor vehicle thefts in Massachusetts	r=0.98	38yrs	378
Physical album shipment volume in the United States	r=0.92	24yrs	378
The marriage rate in Nevada	r=0.93	23yrs	378
The divorce rate in Alabama	r=0.92	23yrs	378
The wind speed in San Diego	r=0.92	39yrs	374
The wind speed in Nashville	r=0.91	39yrs	373
Viewership count for Days of Our Lives	r=0.9	47yrs	372
Cottage cheese consumption	r=0.91	32yrs	372
Google searches for 'desktop background'	r=0.92	16yrs	372
Frozen yogurt consumption	r=0.9	32yrs	370
United States music album sales	r=0.91	16yrs	368
Burglaries in Florida	r=0.97	38yrs	367
Kerosene used in Argentina	r=0.93	42yrs	366
The number of millwrights in Wisconsin	r=0.95	20yrs	358
Burglaries in California	r=0.97	38yrs	357
Kerosene used in Mexico	r=0.94	40yrs	356
The distance between Neptune and the Sun	r=0.93	48yrs	355
The divorce rate in Kentucky	r=0.92	23yrs	348
Burglaries in Illinois	r=0.96	38yrs	346
Kerosene used in Thailand	r=0.93	42yrs	346
The divorce rate in North Carolina	r=0.92	23yrs	338
Burglaries in Minnesota	r=0.96	38yrs	336
Kerosene used in Venezuela	r=0.93	42yrs	336
Air pollution in Los Angeles	r=0.94	43yrs	336
The divorce rate in Wyoming	r=0.92	23yrs	328
Burglaries in New Jersey	r=0.96	38yrs	326
Air pollution in Los Angeles	r=0.94	43yrs	326
Gasoline pumped in Cuba	r=0.92	42yrs	324
The number of telemarketers in Iowa	r=0.94	20yrs	318
The marriage rate in Alabama	r=0.92	23yrs	317
Burglaries in New Mexico	r=0.96	38yrs	316
Kerosene used in Cuba	r=0.92	42yrs	314
Air pollution in San Diego, California	r=0.95	43yrs	314
The number of boiler operators in North Carolina	r=0.95	20yrs	308
The marriage rate in Arkansas	r=0.92	23yrs	307
Burglaries in Rhode Island	r=0.96	38yrs	306
Gasoline pumped in France	r=0.91	43yrs	304
Air pollution in New York City	r=0.91	43yrs	302
The number of prepress technicians and workers in Washington	r=0.95	20yrs	298
The marriage rate in Idaho	r=0.92	23yrs	297
Burglaries in Virginia	r=0.96	38yrs	296
Petroluem consumption in Romania	r=0.92	42yrs	294
Carjackings in the US	r=0.94	27yrs	292
Air pollution in New York City	r=0.91	43yrs	292
The number of typists in Wisconsin	r=0.95	20yrs	288
The marriage rate in Tennessee	r=0.92	23yrs	287
Motor vehicle thefts in Maine	r=0.96	38yrs	286
Kerosene used in Brazil	r=0.91	42yrs	283
Air pollution in Oxnard, California	r=0.93	43yrs	282
The number of typists in Alabama	r=0.94	20yrs	277
Motor vehicle thefts in New Jersey	r=0.96	38yrs	276
The marriage rate in South Carolina	r=0.91	23yrs	276
Petroluem consumption in Bulgaria	r=0.9	42yrs	272
Air pollution in Riverside, California	r=0.92	43yrs	270
The number of motion picture projectionists in California	r=0.94	20yrs	267
Robberies in Michigan	r=0.96	38yrs	266
The marriage rate in Wyoming	r=0.91	23yrs	266
Kerosene used in Portugal	r=0.9	43yrs	262
The number of telemarketers in California	r=0.93	20yrs	257
Air pollution in Philadelphia, Pennsylvania	r=0.9	43yrs	257
Robberies in New York	r=0.96	38yrs	256
The divorce rate in Mississippi	r=0.9	23yrs	256
The number of computer programmers in Maryland	r=0.93	20yrs	247
Air pollution in Philadelphia, Pennsylvania	r=0.9	43yrs	247
Robberies in Oregon	r=0.96	38yrs	246
The divorce rate in New Hampshire	r=0.9	23yrs	246
The number of computer programmers in New Jersey	r=0.93	20yrs	237
Arson in New Jersey	r=0.95	38yrs	234
The marriage rate in South Dakota	r=0.9	23yrs	234
The number of typists in New Jersey	r=0.94	20yrs	227
Arson in New York	r=0.95	38yrs	224
Kerosene used in Ecuador	r=0.9	42yrs	222
The number of typists in North Carolina	r=0.94	20yrs	217
Kerosene used in Norway	r=0.9	43yrs	212
The number of file clerks in Ohio	r=0.94	20yrs	207
Gasoline pumped in Somalia	r=0.9	42yrs	202
The number of typists in Rhode Island	r=0.94	20yrs	197
Kerosene used in United States	r=0.89	43yrs	191
Kerosene used in Hong Kong	r=0.89	42yrs	180
Fossil fuel use in Sierra Leone	r=0.86	42yrs	168

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^{What is Sys. Score?} You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)


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