Top variables that correlate with Popularity of the first name Joann

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.98	43yrs	434
Kerosene used in Mexico	r=0.98	40yrs	432
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Average number of milk cows in the United States	r=0.93	43yrs	422
Burglaries in Colorado	r=0.98	38yrs	418
Burglaries in New York	r=0.97	38yrs	417
Burglaries in Oregon	r=0.97	38yrs	417
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Carjackings in the US	r=0.93	27yrs	390
Robberies in Oregon	r=0.97	38yrs	387
The divorce rate in Alabama	r=0.94	23yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
The marriage rate in Nevada	r=0.94	23yrs	380
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	378
The marriage rate in Arkansas	r=0.93	23yrs	378
Arson in New York	r=0.96	38yrs	376
Cottage cheese consumption	r=0.92	32yrs	374
Google searches for 'black holes'	r=0.91	19yrs	373
Google searches for 'learn spanish'	r=0.9	19yrs	372
The wind speed in Nashville	r=0.9	39yrs	372
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
Burglaries in California	r=0.96	38yrs	366
Air pollution in Los Angeles	r=0.93	43yrs	364
Air pollution in New York City	r=0.92	43yrs	363
Air pollution in San Diego, California	r=0.94	43yrs	363
The number of advertising and promotions managers in Colorado	r=0.95	20yrs	358
The number of data entry keyers in Washington	r=0.95	20yrs	358
The number of coil winders, tapers, and finishers in Arkansas	r=0.94	20yrs	357
US household spending on books	r=0.92	23yrs	357
Kerosene used in Portugal	r=0.92	43yrs	356
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	354
The distance between Neptune and Mercury	r=0.88	48yrs	348
The marriage rate in Idaho	r=0.93	23yrs	348
US birth rates of triplets or more	r=0.88	20yrs	346
Kerosene used in Uruguay	r=0.93	42yrs	346
The distance between Neptune and Earth	r=0.86	48yrs	344
The distance between Neptune and the moon	r=0.86	48yrs	344
GMO use in cotton in North Carolina	r=0.94	23yrs	343
GMO use in corn grown in South Dakota	r=0.91	23yrs	342
Ticket sales for Arizona Diamondbacks games	r=0.88	22yrs	342
The marriage rate in Tennessee	r=0.93	23yrs	338
Kerosene used in Bolivia	r=0.92	42yrs	334
Air pollution in Los Angeles	r=0.91	43yrs	332
Arson in United States	r=0.92	38yrs	330
The marriage rate in Virginia	r=0.92	23yrs	327
The number of prepress technicians and workers in Connecticut	r=0.94	20yrs	327
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	22yrs	326
Kerosene used in Ecuador	r=0.92	42yrs	324
Air pollution in Oxnard, California	r=0.94	41yrs	321
Burglary rates in the US	r=0.92	38yrs	320
The marriage rate in Wyoming	r=0.92	23yrs	317
The number of postal service machine operators in Delaware	r=0.94	20yrs	317
US average milk-fat content of frozen dairy products	r=0.94	22yrs	316
The distance between Neptune and the Sun	r=0.85	48yrs	313
Kerosene used in Hong Kong	r=0.91	42yrs	313
Air pollution in Norwich, Connecticut	r=0.92	42yrs	309
The number of file clerks in Indiana	r=0.94	20yrs	307
The marriage rate in Ohio	r=0.9	23yrs	304
Petroluem consumption in Romania	r=0.91	42yrs	303
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	302
Air pollution in Manchester, New Hampshire	r=0.9	43yrs	297
The number of advertising and promotions managers in Alaska	r=0.95	18yrs	296
The marriage rate in South Carolina	r=0.9	23yrs	294
Kerosene used in Romania	r=0.91	42yrs	293
Air pollution in San Diego, California	r=0.9	43yrs	287
The number of advertising and promotions managers in Idaho	r=0.93	20yrs	286
Burglaries in Connecticut	r=0.95	38yrs	284
The marriage rate in South Dakota	r=0.9	23yrs	284
Kerosene used in Venezuela	r=0.91	42yrs	283
Air pollution in Spokane, Washington	r=0.9	43yrs	277
The number of file clerks in Michigan	r=0.93	20yrs	276
Gasoline pumped in Somalia	r=0.9	42yrs	272
Arson in Colorado	r=0.94	38yrs	272
The number of sewing machine operators in New Jersey	r=0.93	20yrs	266
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	264
Burglaries in Oklahoma	r=0.94	38yrs	262
The number of sewing machine operators in North Carolina	r=0.93	20yrs	256
Petroluem consumption in Uzbekistan	r=0.94	30yrs	256
Burglaries in Texas	r=0.94	38yrs	252
The number of floral designers in Ohio	r=0.93	20yrs	246
The divorce rate in Tennessee	r=0.89	23yrs	244
Gasoline pumped in Germany	r=0.91	32yrs	243
Burglaries in Washington	r=0.94	38yrs	242
The number of telephone operators in Texas	r=0.94	19yrs	236
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	232
The number of CEOs in Alabama	r=0.91	20yrs	224
Robberies in Michigan	r=0.94	38yrs	222
The number of brickmasons in Alabama	r=0.92	20yrs	214
Kerosene used in Norway	r=0.9	43yrs	212
Arson in California	r=0.93	38yrs	211
The number of data entry keyers in Illinois	r=0.92	20yrs	204
Kerosene used in United States	r=0.9	43yrs	202
Burglaries in Florida	r=0.93	38yrs	201
The number of prepress technicians and workers in Illinois	r=0.92	20yrs	194
Burglaries in Alaska	r=0.93	38yrs	191
Gasoline pumped in Cuba	r=0.88	42yrs	188
The number of typists in Iowa	r=0.92	20yrs	184
Kerosene used in Argentina	r=0.87	42yrs	177
The number of advertising and promotions managers in Louisiana	r=0.92	20yrs	174
Kerosene used in Brazil	r=0.87	42yrs	167
The number of food service managers in Maryland	r=0.92	20yrs	164

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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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