Top variables that correlate with Popularity of the first name Teresa

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.98	36yrs	435
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.96	40yrs	428
Average number of milk cows in the United States	r=0.92	43yrs	420
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
Physical album shipment volume in the United States	r=0.97	24yrs	416
The marriage rate in Nevada	r=0.98	23yrs	416
The marriage rate in Tennessee	r=0.98	23yrs	416
The divorce rate in Tennessee	r=0.97	23yrs	416
US household spending on books	r=0.99	23yrs	398
Kerosene used in Portugal	r=0.94	43yrs	398
The number of typists in Ohio	r=0.97	20yrs	392
The number of typists in Florida	r=0.96	20yrs	390
The number of maintenance workers, machinery in New Jersey	r=0.96	20yrs	390
US average milk-fat content of frozen dairy products	r=0.95	22yrs	388
Burglaries in California	r=0.97	38yrs	387
The marriage rate in Arkansas	r=0.96	23yrs	383
US birth rates of triplets or more	r=0.92	20yrs	382
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	376
Milk consumption	r=0.91	32yrs	374
Google searches for 'learn spanish'	r=0.92	19yrs	374
Google searches for 'matt parker'	r=0.92	19yrs	374
Google searches for 'snoop dog'	r=0.92	19yrs	374
The wind speed in Austin	r=0.92	39yrs	374
The marriage rate in Ohio	r=0.96	23yrs	373
United States music album sales	r=0.91	16yrs	368
Robberies in Oregon	r=0.96	38yrs	366
Kerosene used in Bolivia	r=0.93	42yrs	366
Air pollution in New York City	r=0.92	43yrs	363
The marriage rate in South Dakota	r=0.95	23yrs	362
Air pollution in Los Angeles	r=0.91	43yrs	362
Air pollution in Norwich, Connecticut	r=0.94	42yrs	362
The number of CEOs in South Carolina	r=0.95	20yrs	360
US household spending on clothing	r=0.94	23yrs	360
US household spending on clothing for men	r=0.94	23yrs	360
US household spending on clothin for women	r=0.94	23yrs	360
Gasoline pumped in Bulgaria	r=0.93	42yrs	356
Burglaries in Connecticut	r=0.95	38yrs	354
The number of switchboard operators in Indiana	r=0.95	20yrs	348
Kerosene used in Uruguay	r=0.93	42yrs	346
Robberies in Michigan	r=0.95	38yrs	344
Cottage cheese consumption	r=0.92	32yrs	344
Google searches for 'panama canal'	r=0.9	19yrs	342
Carjackings in the US	r=0.92	27yrs	338
The number of floral designers in Kentucky	r=0.95	20yrs	338
Petroluem consumption in Bulgaria	r=0.92	42yrs	334
Google searches for 'black holes'	r=0.9	19yrs	332
Air pollution in Manchester, New Hampshire	r=0.92	43yrs	330
The number of recreational therapists in Maine	r=0.96	18yrs	328
Arson in United States	r=0.95	38yrs	324
Kerosene used in Norway	r=0.91	43yrs	324
The marriage rate in Idaho	r=0.95	23yrs	322
Air pollution in Oxnard, California	r=0.93	41yrs	320
The number of file clerks in Maryland	r=0.95	20yrs	318
Kerosene used in United States	r=0.91	43yrs	314
Burglary rates in the US	r=0.94	38yrs	312
The marriage rate in Virginia	r=0.95	23yrs	312
Air pollution in San Diego, California	r=0.92	43yrs	310
The number of typists in Michigan	r=0.95	20yrs	308
Kerosene used in Ecuador	r=0.91	42yrs	303
The divorce rate in Alabama	r=0.94	23yrs	302
The number of file clerks in Minnesota	r=0.95	20yrs	298
Kerosene used in Romania	r=0.91	42yrs	293
The marriage rate in Alabama	r=0.94	23yrs	290
The number of prepress technicians and workers in North Carolina	r=0.95	20yrs	288
The marriage rate in Arizona	r=0.94	23yrs	280
The number of switchboard operators in Tennessee	r=0.95	20yrs	278
Gasoline pumped in Germany	r=0.94	32yrs	278
Arson in New York	r=0.95	38yrs	274
The marriage rate in South Carolina	r=0.94	23yrs	270
The number of switchboard operators in West Virginia	r=0.95	20yrs	268
Arson in California	r=0.95	38yrs	264
Petroluem consumption in Germany	r=0.9	32yrs	262
The marriage rate in Kentucky	r=0.93	23yrs	258
Arson in Colorado	r=0.95	38yrs	254
Petroluem consumption in Uzbekistan	r=0.92	30yrs	252
The marriage rate in Wyoming	r=0.93	23yrs	248
Burglaries in Alaska	r=0.95	38yrs	244
The divorce rate in North Carolina	r=0.92	23yrs	238
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	236
Burglaries in Minnesota	r=0.95	38yrs	234
The number of data entry keyers in Alabama	r=0.95	20yrs	228
The marriage rate in Missouri	r=0.91	23yrs	226
Arson in New Jersey	r=0.94	38yrs	222
The number of telemarketers in California	r=0.94	20yrs	218
The divorce rate in Ohio	r=0.9	23yrs	216
Burglaries in Florida	r=0.94	38yrs	212
Kerosene used in Hong Kong	r=0.9	42yrs	212
The number of prepress technicians and workers in Colorado	r=0.95	20yrs	208
The marriage rate in Texas	r=0.9	23yrs	204
Burglaries in Michigan	r=0.94	38yrs	202
Petroluem consumption in Romania	r=0.89	42yrs	200
The number of data entry keyers in Georgia	r=0.95	20yrs	198
The marriage rate in Wisconsin	r=0.9	23yrs	194
Burglaries in Arizona	r=0.94	38yrs	192
Kerosene used in Venezuela	r=0.89	42yrs	190
The number of cooks, short order in Indiana	r=0.95	20yrs	188
The number of bill collectors in Louisiana	r=0.94	20yrs	178
The number of tool and die makers in New York	r=0.95	20yrs	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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