Top variables that correlate with Popularity of the first name Tricia

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Data source: US Social Security Administration
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Popularity of the first name Tricia 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
Petroluem consumption in Bulgaria	r=0.96	42yrs	430
Average number of milk cows in the United States	r=0.94	43yrs	423
Carjackings in the US	r=0.95	27yrs	423
Arson in New York	r=0.97	38yrs	417
Burglaries in Colorado	r=0.97	38yrs	417
The marriage rate in Tennessee	r=0.97	23yrs	414
The marriage rate in Nevada	r=0.96	23yrs	413
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
US household spending on books	r=0.95	23yrs	392
The number of computer programmers in Colorado	r=0.95	20yrs	390
The number of typists in Florida	r=0.96	20yrs	390
The number of typists in Iowa	r=0.96	20yrs	390
Robberies in Oregon	r=0.96	38yrs	386
The divorce rate in Tennessee	r=0.95	23yrs	383
US birth rates of triplets or more	r=0.92	20yrs	382
Physical album shipment volume in the United States	r=0.94	24yrs	381
Google searches for 'learn spanish'	r=0.94	19yrs	378
Ticket sales for Arizona Diamondbacks games	r=0.91	22yrs	376
Burglaries in New York	r=0.95	38yrs	374
Google searches for 'shook'	r=0.92	19yrs	374
Google searches for 'oprah winfrey'	r=0.92	19yrs	374
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	373
The wind speed in Nashville	r=0.9	39yrs	372
Customer satisfaction with Verizon	r=0.88	28yrs	368
Air pollution in Los Angeles	r=0.95	43yrs	368
Air pollution in Los Angeles	r=0.92	43yrs	363
Remaining Forest Cover in the Brazilian Amazon	r=0.89	36yrs	362
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	360
Kerosene used in Ecuador	r=0.94	42yrs	358
US household spending on processed fruits	r=0.92	23yrs	357
US household spending on clothing	r=0.92	23yrs	357
US household spending on clothing for men	r=0.91	23yrs	356
US average milk-fat content of frozen dairy products	r=0.93	22yrs	354
The marriage rate in South Carolina	r=0.95	23yrs	352
The number of switchboard operators in Ohio	r=0.96	20yrs	350
Kerosene used in Portugal	r=0.93	43yrs	347
Google searches for 'report UFO sighting'	r=0.88	19yrs	344
The distance between Neptune and Mercury	r=0.86	48yrs	344
Google searches for 'black holes'	r=0.91	19yrs	343
The divorce rate in Alabama	r=0.94	23yrs	342
The number of typists in Texas	r=0.96	20yrs	340
Gasoline pumped in Somalia	r=0.93	42yrs	336
Burglaries in Oregon	r=0.95	38yrs	334
Google searches for 'panama canal'	r=0.9	19yrs	332
Air pollution in Oxnard, California	r=0.94	41yrs	331
The marriage rate in Ohio	r=0.94	23yrs	330
The number of typists in Washington	r=0.95	20yrs	328
Kerosene used in Venezuela	r=0.93	42yrs	326
Burglaries in California	r=0.95	38yrs	324
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	322
Air pollution in New York City	r=0.9	43yrs	320
The marriage rate in Arkansas	r=0.93	23yrs	318
Petroluem consumption in Romania	r=0.92	42yrs	314
Burglaries in Washington	r=0.94	38yrs	312
Air pollution in San Diego, California	r=0.92	43yrs	310
The marriage rate in Arizona	r=0.91	23yrs	306
Kerosene used in Uruguay	r=0.92	42yrs	304
Burglaries in Texas	r=0.93	38yrs	301
Air pollution in Spokane, Washington	r=0.91	43yrs	298
The marriage rate in Idaho	r=0.91	23yrs	296
Kerosene used in Hong Kong	r=0.91	42yrs	293
Burglaries in Connecticut	r=0.93	38yrs	291
The number of file clerks in Georgia	r=0.95	20yrs	288
The marriage rate in Alabama	r=0.9	23yrs	284
Kerosene used in Romania	r=0.91	42yrs	283
Burglaries in Oklahoma	r=0.92	38yrs	280
The number of computer programmers in Maryland	r=0.94	20yrs	278
The marriage rate in Kentucky	r=0.9	23yrs	274
Kerosene used in Bolivia	r=0.9	42yrs	272
Burglaries in Rhode Island	r=0.92	38yrs	270
The number of switchboard operators in Michigan	r=0.95	20yrs	268
The marriage rate in Virginia	r=0.9	23yrs	264
Motor vehicle thefts in Massachusetts	r=0.92	38yrs	260
The number of file clerks in Michigan	r=0.95	20yrs	258
Jet fuel used in Ukraine	r=0.94	30yrs	256
Motor vehicle thefts in Oklahoma	r=0.92	38yrs	250
The number of data entry keyers in Mississippi	r=0.95	20yrs	248
Petroluem consumption in Azerbaijan	r=0.93	30yrs	244
Arson in Colorado	r=0.91	38yrs	238
The number of prepress technicians and workers in New York	r=0.95	20yrs	238
Petroluem consumption in Ukraine	r=0.93	30yrs	234
Burglaries in Montana	r=0.91	38yrs	228
The number of CEOs in Ohio	r=0.94	20yrs	228
The marriage rate in South Dakota	r=0.9	23yrs	224
Petroluem consumption in Belarus	r=0.91	30yrs	221
Robberies in Michigan	r=0.91	38yrs	218
The number of proofreaders in Texas	r=0.95	19yrs	218
The number of switchboard operators in Wisconsin	r=0.95	20yrs	208
Burglaries in Michigan	r=0.9	38yrs	206
The number of professional painters in Puerto Rico	r=0.95	20yrs	198
Burglaries in New Mexico	r=0.9	38yrs	196
Gasoline pumped in Cuba	r=0.89	42yrs	190
The number of compensation and benefits managers in Louisiana	r=0.95	19yrs	188
Kerosene used in Norway	r=0.88	43yrs	180
The number of meter readers, utilities in Alabama	r=0.94	20yrs	177
Burglary rates in the US	r=0.89	38yrs	175
Kerosene used in Argentina	r=0.88	42yrs	168
The number of typists in Alabama	r=0.94	20yrs	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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