Top variables that correlate with Popularity of the first name Carey

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.98	43yrs	434
Kerosene used in Mexico	r=0.97	40yrs	430
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=0.98	38yrs	418
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	400
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
Air pollution in San Diego, California	r=0.95	43yrs	394
Air pollution in Oxnard, California	r=0.95	41yrs	392
Burglaries in California	r=0.98	38yrs	388
The number of orderlies in Texas	r=0.96	11yrs	381
The number of labor relations specialists in Ohio	r=0.95	11yrs	380
The marriage rate in Arizona	r=0.94	23yrs	380
The marriage rate in Nevada	r=0.94	23yrs	380
Robberies in Oregon	r=0.98	38yrs	378
The marriage rate in Ohio	r=0.93	23yrs	378
Physical album shipment volume in the United States	r=0.91	24yrs	376
xkcd comics published about existentialism	r=0.92	16yrs	376
Frozen yogurt consumption	r=0.93	32yrs	375
The wind speed in Austin	r=0.92	39yrs	374
The wind speed in Nashville	r=0.92	39yrs	374
The wind speed in San Diego	r=0.91	39yrs	373
Kerosene used in Uruguay	r=0.95	42yrs	369
Burglaries in Colorado	r=0.97	38yrs	367
Air pollution in Los Angeles	r=0.94	43yrs	366
US household spending on clothing	r=0.93	23yrs	358
US household spending on clothing for men	r=0.93	23yrs	358
US household spending on books	r=0.93	23yrs	358
Petroluem consumption in Bulgaria	r=0.94	42yrs	358
The number of bill collectors in Montana	r=0.93	20yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
Burglaries in Oregon	r=0.96	38yrs	356
US average milk-fat content of frozen dairy products	r=0.92	22yrs	353
Kerosene used in Venezuela	r=0.94	42yrs	348
The marriage rate in South Carolina	r=0.93	23yrs	348
US birth rates of triplets or more	r=0.89	20yrs	347
Burglaries in Connecticut	r=0.96	38yrs	346
The marriage rate in Tennessee	r=0.93	23yrs	338
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	336
Kerosene used in Ecuador	r=0.93	42yrs	336
Air pollution in Los Angeles	r=0.93	43yrs	334
The marriage rate in Arkansas	r=0.92	23yrs	327
The number of telemarketers in Pennsylvania	r=0.92	20yrs	326
Kerosene used in Portugal	r=0.92	43yrs	326
Air pollution in New York City	r=0.91	43yrs	322
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.91	22yrs	322
The marriage rate in Idaho	r=0.92	23yrs	317
The number of vending machine repairers in South Carolina	r=0.92	20yrs	316
Kerosene used in Bolivia	r=0.91	42yrs	313
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.91	22yrs	312
Arson in United States	r=0.93	38yrs	311
Air pollution in San Diego, California	r=0.92	43yrs	310
The divorce rate in Alabama	r=0.91	23yrs	307
The number of computer programmers in Tennessee	r=0.92	20yrs	306
Kerosene used in Hong Kong	r=0.91	42yrs	303
Burglary rates in the US	r=0.93	38yrs	301
Air pollution in Spokane, Washington	r=0.91	43yrs	298
The divorce rate in North Carolina	r=0.91	23yrs	297
The number of switchboard operators in Virginia	r=0.93	20yrs	296
Petroluem consumption in Romania	r=0.91	42yrs	293
Air pollution in Norwich, Connecticut	r=0.91	42yrs	288
The divorce rate in Tennessee	r=0.91	23yrs	287
The number of telemarketers in California	r=0.91	20yrs	284
Gasoline pumped in Cuba	r=0.9	42yrs	282
The marriage rate in Virginia	r=0.91	23yrs	276
Air pollution in Steamboat Springs, Colorado	r=0.93	38yrs	276
The number of file clerks in Massachusetts	r=0.92	20yrs	274
Burglaries in Rhode Island	r=0.95	38yrs	274
Kerosene used in Romania	r=0.9	42yrs	272
The number of boiler operators in Massachusetts	r=0.92	20yrs	264
Robberies in Michigan	r=0.95	38yrs	264
Gasoline pumped in Somalia	r=0.9	42yrs	262
The number of data entry keyers in Nebraska	r=0.92	20yrs	254
Arson in Colorado	r=0.94	38yrs	252
The number of counter and rental clerks in Pennsylvania	r=0.92	20yrs	244
Jet fuel used in Ukraine	r=0.93	30yrs	244
Burglaries in Florida	r=0.94	38yrs	242
The number of home appliance repairers in Wisconsin	r=0.92	20yrs	234
The marriage rate in Kentucky	r=0.9	23yrs	234
Burglaries in Montana	r=0.94	38yrs	232
Petroluem consumption in Ukraine	r=0.91	30yrs	231
The marriage rate in Missouri	r=0.9	23yrs	224
The number of travel agents in Connecticut	r=0.91	20yrs	222
Burglaries in New Mexico	r=0.94	38yrs	222
The marriage rate in South Dakota	r=0.9	23yrs	214
The number of switchboard operators in Georgia	r=0.91	20yrs	212
Burglaries in Oklahoma	r=0.94	38yrs	212
The divorce rate in New Hampshire	r=0.89	23yrs	204
Kerosene used in Argentina	r=0.9	42yrs	202
The number of postmasters in Massachusetts	r=0.91	20yrs	202
Burglaries in Texas	r=0.94	38yrs	202
The divorce rate in Oregon	r=0.89	23yrs	194
Kerosene used in Cuba	r=0.9	42yrs	192
The number of telemarketers in Massachusetts	r=0.9	20yrs	192
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	192
Kerosene used in Thailand	r=0.9	42yrs	182
The number of data entry keyers in Minnesota	r=0.91	20yrs	182
The number of switchboard operators in Nevada	r=0.91	20yrs	172
Kerosene used in Norway	r=0.89	43yrs	171
The number of brickmasons in New Jersey	r=0.91	20yrs	162

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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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