Top variables that correlate with Popularity of the first name Cathy

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

Variable	Correlation	Years	Sys. Score
Remaining Forest Cover in the Brazilian Amazon	r=0.98	36yrs	435
Kerosene used in Mexico	r=0.95	40yrs	427
Burglaries in Oregon	r=0.97	38yrs	417
Burglaries in Colorado	r=0.97	38yrs	417
Burglaries in California	r=0.96	38yrs	416
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Arkansas	r=0.96	23yrs	413
The marriage rate in South Dakota	r=0.96	23yrs	413
The marriage rate in Virginia	r=0.96	23yrs	413
Kerosene used in Portugal	r=0.95	43yrs	400
Kerosene used in Turkiye	r=0.95	43yrs	400
The number of data entry keyers in California	r=0.97	20yrs	392
The number of file clerks in Maryland	r=0.97	20yrs	392
The number of prepress technicians and workers in New York	r=0.97	20yrs	392
US average milk-fat content of frozen dairy products	r=0.95	22yrs	388
Average number of milk cows in the United States	r=0.9	43yrs	387
The marriage rate in Idaho	r=0.95	23yrs	382
US birth rates of triplets or more	r=0.9	20yrs	378
Cottage cheese consumption	r=0.95	32yrs	378
Google searches for 'panama canal'	r=0.94	19yrs	378
Google searches for 'Panama Canal'	r=0.93	19yrs	376
The marriage rate in Nevada	r=0.95	23yrs	372
Arson in United States	r=0.93	38yrs	371
Kerosene used in Norway	r=0.92	43yrs	366
Burglary rates in the US	r=0.92	38yrs	360
The number of switchboard operators in Georgia	r=0.96	20yrs	360
US household spending on clothing	r=0.94	23yrs	360
Air pollution in Manchester, New Hampshire	r=0.92	43yrs	360
Air pollution in Norwich, Connecticut	r=0.93	42yrs	360
US household spending on clothin for women	r=0.93	23yrs	358
US household spending on books	r=0.93	23yrs	358
US household spending on clothing for men	r=0.92	23yrs	357
Kerosene used in Bolivia	r=0.92	42yrs	354
Air pollution in Steamboat Springs, Colorado	r=0.91	38yrs	354
The number of file clerks in Minnesota	r=0.96	20yrs	350
Milk consumption	r=0.92	32yrs	345
Petroluem consumption in Bulgaria	r=0.91	42yrs	343
GMO use in corn grown in South Dakota	r=0.91	23yrs	342
The number of data entry keyers in Nebraska	r=0.96	20yrs	340
Kerosene used in Uruguay	r=0.91	42yrs	333
The divorce rate in Tennessee	r=0.94	23yrs	332
Burglaries in Alaska	r=0.94	38yrs	332
The number of maintenance workers, machinery in New Jersey	r=0.96	20yrs	330
Gasoline pumped in Bulgaria	r=0.9	42yrs	322
Burglaries in Michigan	r=0.94	38yrs	322
The number of prepress technicians and workers in Ohio	r=0.96	20yrs	320
The marriage rate in Tennessee	r=0.94	23yrs	320
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	318
Kerosene used in Cabo Verde	r=0.9	42yrs	312
Burglaries in Nevada	r=0.94	38yrs	312
The marriage rate in Wyoming	r=0.94	23yrs	310
The number of telephone operators in Florida	r=0.95	19yrs	308
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.94	22yrs	306
Kerosene used in United States	r=0.9	43yrs	302
Burglaries in New York	r=0.94	38yrs	302
The number of couriers and messengers in Indiana	r=0.95	20yrs	298
The divorce rate in Alabama	r=0.92	23yrs	298
Robberies in Michigan	r=0.94	38yrs	292
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.9	22yrs	290
The number of switchboard operators in Massachusetts	r=0.95	20yrs	288
The marriage rate in Louisiana	r=0.92	23yrs	287
Gasoline pumped in Germany	r=0.91	32yrs	283
Robberies in Oregon	r=0.94	38yrs	282
The number of switchboard operators in Tennessee	r=0.95	20yrs	278
The marriage rate in Ohio	r=0.92	23yrs	277
Arson in New York	r=0.93	38yrs	271
Petroluem consumption in Uzbekistan	r=0.91	30yrs	271
The number of proofreaders in Wisconsin	r=0.95	20yrs	268
The marriage rate in South Carolina	r=0.92	23yrs	267
Arson in California	r=0.93	38yrs	261
The marriage rate in Wisconsin	r=0.92	23yrs	257
The number of foresters in Utah	r=0.95	17yrs	256
Carjackings in the US	r=0.9	27yrs	256
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	254
Arson in Colorado	r=0.93	38yrs	251
The divorce rate in Florida	r=0.91	23yrs	247
Burglaries in Minnesota	r=0.93	38yrs	241
The divorce rate in North Carolina	r=0.91	23yrs	237
Burglaries in Arizona	r=0.93	38yrs	231
Kerosene used in Romania	r=0.89	42yrs	230
The divorce rate in Ohio	r=0.91	23yrs	227
Burglaries in Oklahoma	r=0.93	38yrs	221
The number of photographers in Arkansas	r=0.95	20yrs	218
Kerosene used in Canada	r=0.87	43yrs	218
The marriage rate in Arizona	r=0.91	23yrs	216
Burglaries in Washington	r=0.93	38yrs	211
The number of sewing machine operators in California	r=0.95	20yrs	208
Kerosene used in Hong Kong	r=0.88	42yrs	208
The marriage rate in Kentucky	r=0.91	23yrs	206
Burglaries in Connecticut	r=0.93	38yrs	201
The number of prepress technicians and workers in Colorado	r=0.95	20yrs	198
Kerosene used in Ecuador	r=0.87	42yrs	197
The marriage rate in Texas	r=0.91	23yrs	196
Motor vehicle thefts in Massachusetts	r=0.93	38yrs	191
The number of travel agents in Connecticut	r=0.95	20yrs	188
Kerosene used in U.S. Pacific Islands	r=0.87	42yrs	187
The divorce rate in Oregon	r=0.9	23yrs	186
The number of sewing machine operators in Hawaii	r=0.95	20yrs	178
Petroluem consumption in Romania	r=0.85	42yrs	174
The number of telemarketers in Illinois	r=0.94	20yrs	168
Petroluem consumption in Germany	r=0.9	32yrs	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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