Top variables that correlate with Popularity of the first name Anita

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	430
Kerosene used in Mexico	r=0.97	40yrs	430
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Average number of milk cows in the United States	r=0.92	43yrs	420
Burglaries in New York	r=0.98	38yrs	418
Robberies in Oregon	r=0.98	38yrs	418
Arson in New York	r=0.97	38yrs	417
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=0.97	38yrs	387
Physical album shipment volume in the United States	r=0.93	24yrs	380
The marriage rate in Nevada	r=0.94	23yrs	380
The marriage rate in Tennessee	r=0.94	23yrs	380
The divorce rate in Alabama	r=0.92	23yrs	378
Burglaries in Colorado	r=0.97	38yrs	377
The wind speed in Austin	r=0.93	39yrs	376
The wind speed in Nashville	r=0.92	39yrs	374
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	373
The wind speed in San Diego	r=0.9	39yrs	372
Frozen yogurt consumption	r=0.9	32yrs	370
Kerosene used in Uruguay	r=0.95	42yrs	369
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	367
Customer satisfaction with Verizon	r=0.87	28yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Petroluem consumption in Bulgaria	r=0.94	42yrs	358
The number of upholsterers in Kentucky	r=0.94	20yrs	357
AIG's stock price (AIG)	r=0.86	21yrs	356
The number of floral designers in Maine	r=0.93	20yrs	356
The number of data entry keyers in Missouri	r=0.93	20yrs	356
Burglaries in Oregon	r=0.96	38yrs	356
US household spending on books	r=0.9	23yrs	354
The distance between Neptune and Mercury	r=0.89	48yrs	349
The distance between Neptune and Earth	r=0.88	48yrs	348
The distance between Neptune and the moon	r=0.88	48yrs	348
Kerosene used in Portugal	r=0.93	43yrs	347
The marriage rate in Arizona	r=0.92	23yrs	347
Burglaries in Connecticut	r=0.96	38yrs	346
Ticket sales for Arizona Diamondbacks games	r=0.89	22yrs	343
Carjackings in the US	r=0.94	27yrs	342
The marriage rate in Ohio	r=0.92	23yrs	337
Kerosene used in Venezuela	r=0.93	42yrs	336
Air pollution in Los Angeles	r=0.92	43yrs	333
The marriage rate in Idaho	r=0.91	23yrs	326
The number of CEOs in Alabama	r=0.91	20yrs	324
Kerosene used in Ecuador	r=0.92	42yrs	324
Air pollution in New York City	r=0.91	43yrs	322
Arson in United States	r=0.93	38yrs	321
The distance between Neptune and the Sun	r=0.87	48yrs	316
The marriage rate in Virginia	r=0.91	23yrs	316
The number of prepress technicians and workers in Connecticut	r=0.92	20yrs	314
Petroluem consumption in Romania	r=0.92	42yrs	314
Burglary rates in the US	r=0.93	38yrs	311
Air pollution in San Diego, California	r=0.92	43yrs	310
Cottage cheese consumption	r=0.9	32yrs	310
The divorce rate in Tennessee	r=0.9	23yrs	306
The number of fiberglass laminators and fabricators in New York	r=0.92	20yrs	304
Kerosene used in Bolivia	r=0.91	42yrs	303
Air pollution in Norwich, Connecticut	r=0.91	42yrs	298
The marriage rate in Wyoming	r=0.9	23yrs	294
The number of tapers in Michigan	r=0.92	19yrs	293
Gasoline pumped in Somalia	r=0.91	42yrs	293
Air pollution in Spokane, Washington	r=0.9	43yrs	287
The number of travel agents in Alaska	r=0.91	20yrs	282
Kerosene used in Hong Kong	r=0.9	42yrs	282
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	275
Burglaries in Texas	r=0.95	38yrs	274
The number of professional painters in Indiana	r=0.91	20yrs	272
Kerosene used in Norway	r=0.9	43yrs	272
Motor vehicle thefts in Oklahoma	r=0.95	38yrs	264
The number of postal service mail carriers in Massachusetts	r=0.91	20yrs	262
Kerosene used in Romania	r=0.9	42yrs	262
The marriage rate in Kentucky	r=0.9	23yrs	254
The number of amusement park attendants in Minnesota	r=0.91	20yrs	252
Arson in California	r=0.94	38yrs	252
Petroluem consumption in Uzbekistan	r=0.93	30yrs	244
The number of prepress technicians and workers in Missouri	r=0.91	20yrs	242
The marriage rate in Arkansas	r=0.89	23yrs	242
Arson in Colorado	r=0.94	38yrs	242
Gasoline pumped in Germany	r=0.91	32yrs	233
The number of typists in New York	r=0.91	20yrs	232
The marriage rate in South Carolina	r=0.89	23yrs	232
Burglaries in Florida	r=0.94	38yrs	232
The number of cashiers in Ohio	r=0.91	20yrs	222
The marriage rate in Wisconsin	r=0.89	23yrs	222
Burglaries in Minnesota	r=0.94	38yrs	222
Jet fuel used in Ukraine	r=0.91	30yrs	221
The number of compensation and benefits managers in Nebraska	r=0.91	19yrs	212
The divorce rate in North Carolina	r=0.88	23yrs	212
Burglaries in New Mexico	r=0.94	38yrs	212
Burglaries in Oklahoma	r=0.94	38yrs	202
The number of postal service mail carriers in California	r=0.9	20yrs	201
The marriage rate in South Dakota	r=0.88	23yrs	201
Petroluem consumption in Former Czechoslovakia	r=0.92	13yrs	196
Burglaries in Rhode Island	r=0.94	38yrs	192
The number of prepress technicians and workers in Kansas	r=0.9	20yrs	191
Gasoline pumped in Cuba	r=0.9	42yrs	182
The number of food service managers in Maryland	r=0.9	20yrs	181
Kerosene used in United States	r=0.89	43yrs	171
The number of postal service mail carriers in Michigan	r=0.9	20yrs	171
The number of counter and rental clerks in New Jersey	r=0.9	20yrs	161

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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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