Top variables that correlate with Popularity of the first name Terri

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Mexico	r=0.98	40yrs	432
Kerosene used in Turkiye	r=0.96	43yrs	432
Average number of milk cows in the United States	r=0.94	43yrs	423
Burglaries in Colorado	r=0.98	38yrs	418
Burglaries in Oregon	r=0.97	38yrs	417
Arson in New York	r=0.96	38yrs	416
The marriage rate in Nevada	r=0.97	23yrs	414
The marriage rate in Tennessee	r=0.96	23yrs	413
Physical album shipment volume in the United States	r=0.95	24yrs	412
Google searches for 'learn spanish'	r=0.97	19yrs	412
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Petroluem consumption in Bulgaria	r=0.94	42yrs	398
Air pollution in Norwich, Connecticut	r=0.95	42yrs	394
Carjackings in the US	r=0.95	27yrs	393
The number of file clerks in Georgia	r=0.98	20yrs	393
The number of CEOs in Ohio	r=0.97	20yrs	393
The number of typists in Arizona	r=0.97	20yrs	392
US household spending on books	r=0.95	23yrs	392
Robberies in Oregon	r=0.96	38yrs	386
The divorce rate in Alabama	r=0.94	23yrs	382
GMO use in corn grown in South Dakota	r=0.96	23yrs	379
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	378
Google searches for 'Panama Canal'	r=0.94	19yrs	378
Google searches for 'snoop dog'	r=0.94	19yrs	378
Popularity of the 'all your base' meme	r=0.91	17yrs	377
Ticket sales for Arizona Diamondbacks games	r=0.91	22yrs	376
Burglaries in California	r=0.95	38yrs	374
Cottage cheese consumption	r=0.9	32yrs	370
Kerosene used in Bolivia	r=0.93	42yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Air pollution in Manchester, New Hampshire	r=0.93	43yrs	362
The number of typists in Indiana	r=0.97	20yrs	362
AIG's stock price (AIG)	r=0.87	21yrs	358
Air pollution in San Diego, California	r=0.9	43yrs	357
Gasoline pumped in Bulgaria	r=0.93	42yrs	356
The number of typists in Maine	r=0.97	20yrs	352
The marriage rate in Idaho	r=0.94	23yrs	350
Google searches for 'black holes'	r=0.94	19yrs	348
The distance between Neptune and Mercury	r=0.87	48yrs	346
Kerosene used in Portugal	r=0.92	43yrs	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
The number of postal service machine operators in Maryland	r=0.97	20yrs	342
The marriage rate in Arkansas	r=0.93	23yrs	338
Google searches for 'panama canal'	r=0.93	19yrs	336
Kerosene used in Ecuador	r=0.92	42yrs	334
The number of automotive body repairers in Michigan	r=0.97	20yrs	332
The divorce rate in Tennessee	r=0.92	23yrs	328
US average milk-fat content of frozen dairy products	r=0.94	22yrs	326
Air pollution in Oxnard, California	r=0.91	41yrs	326
Burglaries in New York	r=0.95	38yrs	324
Kerosene used in Romania	r=0.91	42yrs	323
The number of typists in Texas	r=0.97	20yrs	322
The marriage rate in Alabama	r=0.92	23yrs	317
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.93	22yrs	314
Kerosene used in Uruguay	r=0.91	42yrs	313
Burglaries in Washington	r=0.94	38yrs	312
The number of brickmasons in Alabama	r=0.96	20yrs	310
The marriage rate in Ohio	r=0.92	23yrs	307
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	22yrs	303
Arson in Colorado	r=0.93	38yrs	301
The number of typists in Florida	r=0.96	20yrs	300
The marriage rate in South Carolina	r=0.92	23yrs	297
Gasoline pumped in Germany	r=0.92	32yrs	294
The number of typists in Iowa	r=0.96	20yrs	290
Burglaries in Alaska	r=0.92	38yrs	290
The marriage rate in Virginia	r=0.92	23yrs	287
Petroluem consumption in Uzbekistan	r=0.93	30yrs	284
The number of postal service machine operators in Massachusetts	r=0.96	20yrs	280
Burglaries in Michigan	r=0.92	38yrs	280
The marriage rate in Wyoming	r=0.92	23yrs	277
The number of file clerks in Michigan	r=0.96	20yrs	270
Burglaries in Montana	r=0.92	38yrs	270
The marriage rate in Arizona	r=0.91	23yrs	266
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	264
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	260
Burglaries in Oklahoma	r=0.92	38yrs	260
The marriage rate in South Dakota	r=0.9	23yrs	254
The number of sewing machine operators in North Carolina	r=0.96	20yrs	250
Burglaries in Connecticut	r=0.92	38yrs	250
Kerosene used in U.S. Pacific Islands	r=0.9	42yrs	242
The number of furniture finishers in North Carolina	r=0.96	20yrs	240
Motor vehicle thefts in Massachusetts	r=0.92	38yrs	240
Kerosene used in Norway	r=0.89	43yrs	231
The number of typists in Ohio	r=0.96	20yrs	230
Motor vehicle thefts in Oklahoma	r=0.92	38yrs	230
Kerosene used in Hong Kong	r=0.89	42yrs	220
The number of brickmasons in Ohio	r=0.96	20yrs	220
Robberies in Michigan	r=0.92	38yrs	220
The divorce rate in North Carolina	r=0.89	23yrs	214
Kerosene used in United States	r=0.88	43yrs	210
The number of postal service machine operators in Rhode Island	r=0.96	20yrs	210
Arson in California	r=0.91	38yrs	208
The number of telephone operators in Texas	r=0.97	19yrs	200
Kerosene used in Italy	r=0.87	43yrs	198
Burglaries in Minnesota	r=0.91	38yrs	198
Gasoline pumped in Somalia	r=0.88	42yrs	188
Burglaries in Nevada	r=0.91	38yrs	188
Kerosene used in Venezuela	r=0.88	42yrs	178
Petroluem consumption in Romania	r=0.87	42yrs	167

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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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