Top variables that correlate with Popularity of the first name Patrice

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Venezuela	r=0.96	42yrs	430
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Carjackings in the US	r=0.96	27yrs	424
Average number of milk cows in the United States	r=0.93	43yrs	422
Arson in New York	r=0.98	38yrs	418
Burglaries in New York	r=0.97	38yrs	417
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 Idaho	r=0.96	23yrs	413
Kerosene used in Mexico	r=0.96	40yrs	398
Air pollution in Los Angeles	r=0.95	43yrs	398
Remaining Forest Cover in the Brazilian Amazon	r=0.91	36yrs	394
Air pollution in San Diego, California	r=0.95	43yrs	394
The number of pipelayers in Indiana	r=0.97	20yrs	392
Air pollution in Oxnard, California	r=0.95	41yrs	392
The number of CEOs in Colorado	r=0.95	20yrs	390
The number of computer programmers in Colorado	r=0.95	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.96	22yrs	389
Burglaries in California	r=0.96	38yrs	386
US birth rates of triplets or more	r=0.93	20yrs	383
The divorce rate in North Carolina	r=0.95	23yrs	383
Burglaries in Colorado	r=0.96	38yrs	376
The wind speed in Nashville	r=0.91	39yrs	373
United States music album sales	r=0.91	16yrs	368
Robberies in Oregon	r=0.96	38yrs	366
The number of computer programmers in Maryland	r=0.95	20yrs	360
GMO use in cotton	r=0.92	23yrs	360
Gasoline pumped in Somalia	r=0.95	42yrs	359
US average milk-fat content of frozen dairy products	r=0.96	22yrs	359
US household spending on clothing	r=0.92	23yrs	357
US household spending on books	r=0.92	23yrs	357
US household spending on clothing for men	r=0.91	23yrs	356
Burglaries in Connecticut	r=0.95	38yrs	354
US household spending on clothin for women	r=0.9	23yrs	354
The marriage rate in Arkansas	r=0.95	23yrs	352
The number of CEOs in Ohio	r=0.95	20yrs	350
Petroluem consumption in Bulgaria	r=0.94	42yrs	348
The marriage rate in Wyoming	r=0.95	23yrs	342
Kerosene used in Ecuador	r=0.94	42yrs	338
The number of postal service machine operators in Connecticut	r=0.95	20yrs	338
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	334
Air pollution in Los Angeles	r=0.93	43yrs	334
The divorce rate in Alabama	r=0.94	23yrs	332
Burglary rates in the US	r=0.91	38yrs	328
The number of proofreaders in Connecticut	r=0.95	20yrs	328
Petroluem consumption in Romania	r=0.93	42yrs	326
Air pollution in New York City	r=0.91	43yrs	322
The divorce rate in Tennessee	r=0.93	23yrs	320
The number of typists in Kansas	r=0.95	20yrs	318
Arson in United States	r=0.9	38yrs	316
Kerosene used in Argentina	r=0.92	42yrs	314
Air pollution in San Diego, California	r=0.93	43yrs	312
The number of data entry keyers in New York	r=0.95	20yrs	308
The marriage rate in South Carolina	r=0.93	23yrs	308
Gasoline pumped in Cuba	r=0.92	42yrs	304
The number of meter readers, utilities in Wisconsin	r=0.95	20yrs	298
The marriage rate in Tennessee	r=0.93	23yrs	298
Air pollution in Riverside, California	r=0.91	43yrs	298
Kerosene used in Cuba	r=0.92	42yrs	294
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	294
The number of painting, coating, and decorating workers in Wisconsin	r=0.95	20yrs	288
The marriage rate in Virginia	r=0.93	23yrs	288
Air pollution in Oxnard, California	r=0.9	43yrs	287
Kerosene used in Brazil	r=0.91	42yrs	283
Burglaries in Oregon	r=0.94	38yrs	282
The number of typists in Nebraska	r=0.95	19yrs	278
The divorce rate in Wyoming	r=0.92	23yrs	278
Kerosene used in Hong Kong	r=0.91	42yrs	273
Burglaries in Rhode Island	r=0.94	38yrs	272
The marriage rate in Alabama	r=0.92	23yrs	267
Kerosene used in Thailand	r=0.91	42yrs	263
Burglaries in Texas	r=0.94	38yrs	262
The marriage rate in South Dakota	r=0.92	23yrs	257
Kerosene used in Uruguay	r=0.91	42yrs	253
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	252
The divorce rate in Florida	r=0.91	23yrs	247
Burglaries in Oklahoma	r=0.93	38yrs	241
The number of telemarketers in California	r=0.94	20yrs	238
The divorce rate in Kentucky	r=0.91	23yrs	237
Jet fuel used in Ukraine	r=0.94	30yrs	236
Robberies in New York	r=0.93	38yrs	231
The number of typists in Iowa	r=0.95	20yrs	228
The divorce rate in Oregon	r=0.91	23yrs	227
Petroluem consumption in Ukraine	r=0.93	30yrs	224
Arson in Colorado	r=0.92	38yrs	220
The number of data entry keyers in Nebraska	r=0.95	20yrs	218
The marriage rate in Ohio	r=0.91	23yrs	216
Petroluem consumption in Belarus	r=0.91	30yrs	211
Burglaries in Florida	r=0.92	38yrs	210
The number of postal service machine operators in Oregon	r=0.95	20yrs	208
The divorce rate in Ohio	r=0.9	23yrs	206
Burglaries in Montana	r=0.92	38yrs	200
The number of switchboard operators in Wisconsin	r=0.95	20yrs	198
Liquefied petroleum gas used in Greenland	r=0.93	22yrs	196
Burglaries in New Mexico	r=0.92	38yrs	190
The number of typists in Wisconsin	r=0.95	20yrs	188
Geothermal power generated in Austria	r=0.9	17yrs	180
The number of prepress technicians and workers in Wisconsin	r=0.95	20yrs	178
The number of meter readers, utilities 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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