Top variables that correlate with Popularity of the first name Antoinette

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

Variable	Correlation	Years	Has img?
Arson in New York	r=0.97	38yrs	No

Popularity of the first name Antoinette also correlates with...

Variable	Correlation	Years	Sys. Score
Kerosene used in Argentina	r=0.97	42yrs	432
Kerosene used in Egypt	r=0.96	42yrs	430
Kerosene used in Venezuela	r=0.96	42yrs	430
Carjackings in the US	r=0.98	27yrs	428
Burglaries in New York	r=0.98	38yrs	418
Viewership count for Days of Our Lives	r=0.91	47yrs	404
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Median Weekly Earnings of Self-Employed Workers in the UK	r=0.96	11yrs	398
Air pollution in San Diego, California	r=0.96	43yrs	396
The number of postal service machine operators in New Jersey	r=0.96	20yrs	390
The number of conveyor operators in New Jersey	r=0.96	20yrs	390
The number of postal service machine operators in District of Columbia	r=0.96	19yrs	389
Burglaries in Connecticut	r=0.97	38yrs	387
The distance between Neptune and the Sun	r=0.92	48yrs	384
The distance between Neptune and Earth	r=0.92	48yrs	384
The distance between Neptune and Mercury	r=0.92	48yrs	384
US birth rates of triplets or more	r=0.92	20yrs	382
The marriage rate in Arizona	r=0.95	23yrs	382
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
Robberies in Oregon	r=0.97	38yrs	377
Google searches for 'learn spanish'	r=0.93	19yrs	376
Google searches for 'snoop dog'	r=0.93	19yrs	376
The wind speed in Austin	r=0.93	39yrs	376
The wind speed in Nashville	r=0.91	39yrs	373
The wind speed in San Diego	r=0.91	39yrs	373
Google searches for 'Panama Canal'	r=0.9	19yrs	372
Kerosene used in Pakistan	r=0.95	42yrs	369
United States music album sales	r=0.9	16yrs	367
Customer satisfaction with Verizon	r=0.87	28yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Burglaries in California	r=0.96	38yrs	366
Citigroup's stock price (C)	r=0.89	21yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.89	21yrs	360
Number of edits to the Wikipedia article for Thanksgiving	r=0.89	16yrs	360
AIG's stock price (AIG)	r=0.88	21yrs	359
Kerosene used in Thailand	r=0.95	42yrs	359
The number of compensation and benefits managers in Idaho	r=0.96	19yrs	359
US household spending on books	r=0.93	23yrs	358
Burglaries in Colorado	r=0.96	38yrs	356
The distance between Neptune and the moon	r=0.92	48yrs	354
The number of compensation and benefits managers in Louisiana	r=0.96	19yrs	349
Gasoline pumped in Cuba	r=0.94	42yrs	348
The marriage rate in Idaho	r=0.92	23yrs	347
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	346
Google searches for 'oprah winfrey'	r=0.9	19yrs	342
The number of compensation and benefits managers in Missouri	r=0.96	19yrs	339
Kerosene used in Cuba	r=0.94	42yrs	338
The marriage rate in Ohio	r=0.92	23yrs	337
Burglaries in Rhode Island	r=0.95	38yrs	334
Air pollution in Oxnard, California	r=0.94	43yrs	333
Gasoline pumped in France	r=0.94	43yrs	328
The number of postal service machine operators in Georgia	r=0.95	20yrs	328
The marriage rate in South Carolina	r=0.92	23yrs	327
Motor vehicle thefts in Oklahoma	r=0.95	38yrs	324
Air pollution in Riverside, California	r=0.94	43yrs	323
Gasoline pumped in Somalia	r=0.94	42yrs	318
The number of postal service machine operators in Nebraska	r=0.95	20yrs	318
The divorce rate in Alabama	r=0.91	23yrs	317
Air pollution in San Diego, California	r=0.94	43yrs	313
The number of boiler operators in Ohio	r=0.95	20yrs	308
The divorce rate in Tennessee	r=0.91	23yrs	307
Gasoline pumped in Bulgaria	r=0.93	42yrs	306
Air pollution in Oxnard, California	r=0.95	41yrs	302
Arson in United States	r=0.93	38yrs	301
The number of postal service machine operators in Washington	r=0.95	20yrs	298
The marriage rate in Alabama	r=0.91	23yrs	296
Petroluem consumption in Romania	r=0.93	42yrs	296
Burglary rates in the US	r=0.93	38yrs	291
The number of typists in Nebraska	r=0.95	19yrs	288
The marriage rate in Arkansas	r=0.91	23yrs	286
Kerosene used in Brazil	r=0.92	42yrs	284
The number of compensation and benefits managers in Pennsylvania	r=0.95	19yrs	278
The marriage rate in Wyoming	r=0.91	23yrs	276
The number of surgens in Wisconsin	r=0.95	16yrs	264
Burglaries in Texas	r=0.95	38yrs	264
Jet fuel used in Ukraine	r=0.93	30yrs	264
Motor vehicle thefts in New Jersey	r=0.95	38yrs	254
Petroluem consumption in Azerbaijan	r=0.91	30yrs	251
Robberies in New York	r=0.95	38yrs	244
Burglaries in Florida	r=0.94	38yrs	232
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	232
The number of telemarketers in California	r=0.95	20yrs	230
Burglaries in New Mexico	r=0.94	38yrs	222
The number of bill collectors in Montana	r=0.95	20yrs	220
Burglaries in Oklahoma	r=0.94	38yrs	212
Kerosene used in Ecuador	r=0.9	42yrs	212
The number of prepress technicians and workers in Arkansas	r=0.95	20yrs	208
Burglaries in Oregon	r=0.94	38yrs	202
Kerosene used in North Korea	r=0.9	42yrs	202
The number of postal service machine operators in California	r=0.95	20yrs	198
Motor vehicle thefts in Rhode Island	r=0.94	38yrs	192
Kerosene used in Turkiye	r=0.89	43yrs	191
The number of bill collectors in Colorado	r=0.94	20yrs	188
Petroluem consumption in Cuba	r=0.89	42yrs	180
The number of postal service machine operators in Connecticut	r=0.95	20yrs	178
Kerosene used in Uruguay	r=0.89	42yrs	170
The number of college psychology teachers in District of Columbia	r=0.95	20yrs	168

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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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