Top variables that correlate with Popularity of the first name Suzanne

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Data source: US Social Security Administration
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Popularity of the first name Suzanne 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
Carjackings in the US	r=0.97	27yrs	426
Average number of milk cows in the United States	r=0.93	43yrs	422
Burglaries in Colorado	r=0.98	38yrs	418
Arson in New York	r=0.97	38yrs	417
The marriage rate in Tennessee	r=0.98	23yrs	416
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.97	23yrs	414
The marriage rate in South Carolina	r=0.97	23yrs	414
Petroluem consumption in Bulgaria	r=0.94	42yrs	398
Remaining Forest Cover in the Brazilian Amazon	r=0.91	36yrs	394
US household spending on books	r=0.96	23yrs	393
The number of prepress technicians and workers in Florida	r=0.97	20yrs	392
The number of prepress technicians and workers in Michigan	r=0.97	20yrs	392
The number of maintenance workers, machinery in New Jersey	r=0.97	20yrs	392
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
Robberies in Oregon	r=0.97	38yrs	387
The divorce rate in Tennessee	r=0.96	23yrs	384
US birth rates of triplets or more	r=0.92	20yrs	382
Burglaries in New York	r=0.96	38yrs	376
Ticket sales for Arizona Diamondbacks games	r=0.91	22yrs	376
Google searches for 'panama canal'	r=0.92	19yrs	374
Google searches for 'Panama Canal'	r=0.92	19yrs	374
The marriage rate in Arkansas	r=0.96	23yrs	373
United States music album sales	r=0.92	16yrs	370
Frozen yogurt consumption	r=0.9	32yrs	370
Kerosene used in Portugal	r=0.94	43yrs	368
Burglaries in Oregon	r=0.96	38yrs	366
Customer satisfaction with Verizon	r=0.87	28yrs	366
Customer satisfaction with Frontier Communications	r=0.86	28yrs	364
The marriage rate in Ohio	r=0.96	23yrs	363
The number of CEOs in Ohio	r=0.96	20yrs	362
US household spending on clothing for men	r=0.94	23yrs	360
Air pollution in Los Angeles	r=0.9	43yrs	360
Air pollution in San Diego, California	r=0.92	43yrs	360
Air pollution in Norwich, Connecticut	r=0.93	42yrs	360
AIG's stock price (AIG)	r=0.88	21yrs	359
US household spending on clothing	r=0.93	23yrs	358
US household spending on processed fruits	r=0.92	23yrs	357
Burglaries in California	r=0.96	38yrs	356
Gasoline pumped in Bulgaria	r=0.93	42yrs	356
The marriage rate in Virginia	r=0.95	23yrs	352
The number of sewing machine operators in California	r=0.96	20yrs	350
Kerosene used in Bolivia	r=0.92	42yrs	344
The number of file clerks in Colorado	r=0.96	20yrs	340
Kerosene used in Norway	r=0.91	43yrs	334
The number of file clerks in Maryland	r=0.96	20yrs	330
Air pollution in Manchester, New Hampshire	r=0.9	43yrs	327
Burglary rates in the US	r=0.9	38yrs	326
Kerosene used in Uruguay	r=0.92	42yrs	324
The number of switchboard operators in Massachusetts	r=0.96	20yrs	320
Kerosene used in Ecuador	r=0.91	42yrs	313
The marriage rate in Idaho	r=0.95	23yrs	312
The number of data entry keyers in New York	r=0.96	20yrs	310
Kerosene used in Romania	r=0.91	42yrs	303
The marriage rate in South Dakota	r=0.95	23yrs	302
Burglaries in Washington	r=0.94	38yrs	302
The number of tool and die makers in New York	r=0.96	20yrs	300
Burglaries in Oklahoma	r=0.93	38yrs	291
The number of file clerks in North Carolina	r=0.96	20yrs	290
The marriage rate in Arizona	r=0.94	23yrs	290
Jet fuel used in Ukraine	r=0.93	30yrs	284
Burglaries in Rhode Island	r=0.93	38yrs	281
The number of data entry keyers in Pennsylvania	r=0.96	20yrs	280
The marriage rate in Wyoming	r=0.94	23yrs	280
Petroluem consumption in Ukraine	r=0.92	30yrs	272
Burglaries in Texas	r=0.93	38yrs	271
The number of meter readers, utilities in Wisconsin	r=0.96	20yrs	270
The divorce rate in Alabama	r=0.93	23yrs	270
Burglaries in Connecticut	r=0.93	38yrs	261
The divorce rate in North Carolina	r=0.93	23yrs	260
The number of data entry keyers in California	r=0.95	20yrs	258
Liquefied petroleum gas used in Greenland	r=0.91	22yrs	253
Motor vehicle thefts in Massachusetts	r=0.93	38yrs	251
The number of upholsterers in California	r=0.95	20yrs	248
The marriage rate in Kentucky	r=0.93	23yrs	248
Arson in Colorado	r=0.92	38yrs	240
The number of typists in Florida	r=0.95	20yrs	238
The divorce rate in Ohio	r=0.92	23yrs	238
Burglaries in Michigan	r=0.92	38yrs	230
Kerosene used in Canada	r=0.88	43yrs	230
The number of human resources assistants in Illinois	r=0.95	20yrs	228
The marriage rate in Alabama	r=0.92	23yrs	227
Burglaries in Montana	r=0.92	38yrs	220
Kerosene used in Hong Kong	r=0.89	42yrs	220
The number of cooks, short order in Indiana	r=0.95	20yrs	218
The marriage rate in Missouri	r=0.92	23yrs	217
Motor vehicle thefts in Oklahoma	r=0.92	38yrs	210
Kerosene used in U.S. Pacific Islands	r=0.89	42yrs	210
The number of typists in Iowa	r=0.95	20yrs	208
The marriage rate in Texas	r=0.92	23yrs	207
Robberies in Michigan	r=0.92	38yrs	200
The number of postal service machine operators in Maryland	r=0.95	20yrs	198
Kerosene used in Italy	r=0.87	43yrs	198
The marriage rate in Wisconsin	r=0.92	23yrs	197
Burglaries in Florida	r=0.91	38yrs	188
Petroluem consumption in Romania	r=0.88	42yrs	188
The divorce rate in New Hampshire	r=0.91	23yrs	187
Kerosene used in United States	r=0.87	43yrs	178
Kerosene used in Venezuela	r=0.88	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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