Top variables that correlate with Popularity of the first name Joey

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

Variable	Correlation	Years	Has img?
The number of postal service machine operators in Iowa	r=0.96	20yrs	No
Kerosene used in Norway	r=0.92	43yrs	No

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.9	43yrs	392
The number of telemarketers in California	r=0.95	20yrs	390
The number of postal service machine operators in Colorado	r=0.96	20yrs	390
US production of cottage cheese	r=0.93	22yrs	378
U.S. intercountry adoptions	r=0.92	23yrs	377
US dairy skim solids used to produce cottage cheese	r=0.93	22yrs	376
Google searches for 'learn spanish'	r=0.93	19yrs	376
Google searches for 'panama canal'	r=0.92	19yrs	374
Google searches for 'Panama Canal'	r=0.92	19yrs	374
Intercountry adoptions	r=0.92	15yrs	366
Kerosene used in Portugal	r=0.9	43yrs	362
The number of postal service machine operators in North Dakota	r=0.96	20yrs	360
Burglary rates in the US	r=0.86	38yrs	360
Air pollution in Spokane, Washington	r=0.91	43yrs	358
Air pollution in Tucson, Arizona	r=0.91	43yrs	358
AIG's stock price (AIG)	r=0.85	21yrs	354
The number of sewing machine operators in Arkansas	r=0.95	20yrs	348
US birth rates of triplets or more	r=0.88	20yrs	346
Robberies in Massachusetts	r=0.89	38yrs	345
The marriage rate in Hawaii	r=0.9	23yrs	344
Robberies in Michigan	r=0.88	38yrs	344
Google searches for 'snoop dog'	r=0.91	19yrs	343
GMO use in corn grown in Nebraska	r=0.92	23yrs	343
Viewership count of American Idol Season Finale	r=0.87	21yrs	342
GMO use in corn grown in Illinois	r=0.91	23yrs	342
GMO use in corn	r=0.91	23yrs	342
Cottage cheese consumption	r=0.89	32yrs	339
The number of postal service machine operators in California	r=0.95	20yrs	338
Google searches for 'black holes'	r=0.91	19yrs	333
Kerosene used in Canada	r=0.89	43yrs	331
The number of postal service machine operators in New Jersey	r=0.95	20yrs	328
Air pollution in Bridgeport, Connecticut	r=0.88	43yrs	324
US household spending on postage and stationery	r=0.89	23yrs	322
US household spending on floor coverings	r=0.86	23yrs	318
The number of postal service machine operators in New York	r=0.95	20yrs	318
Kerosene used in Cabo Verde	r=0.86	42yrs	316
Burglaries in Massachusetts	r=0.87	38yrs	312
GMO use in corn grown in Iowa	r=0.9	23yrs	310
The number of postal service machine operators in Washington	r=0.95	20yrs	308
Kerosene used in Hong Kong	r=0.86	42yrs	306
Burglaries in Michigan	r=0.87	38yrs	302
GMO use in corn grown in Wisconsin	r=0.9	23yrs	300
Kerosene used in Mexico	r=0.88	40yrs	296
Air pollution in Miami	r=0.86	43yrs	294
Google searches for 'oprah winfrey'	r=0.9	19yrs	292
Burglaries in Texas	r=0.87	38yrs	292
GMO use in corn grown in Texas	r=0.92	18yrs	288
Air pollution in Norwich, Connecticut	r=0.88	42yrs	283
Burglaries in Colorado	r=0.87	38yrs	282
US average milk-fat content of cottage cheese	r=0.89	22yrs	278
Google searches for 'shook'	r=0.87	19yrs	277
Air pollution in Bridgeport, Connecticut	r=0.87	43yrs	272
Burglaries in Minnesota	r=0.86	38yrs	270
The number of postal service machine operators in Connecticut	r=0.95	20yrs	268
Jet fuel used in Former Czechoslovakia	r=0.9	13yrs	262
Air pollution in Manchester, New Hampshire	r=0.87	43yrs	262
Burglaries in Nevada	r=0.86	38yrs	260
The number of postal service machine operators in Indiana	r=0.95	20yrs	258
Air pollution in Spokane, Washington	r=0.87	43yrs	252
Citigroup's stock price (C)	r=0.85	21yrs	250
GMO use in corn grown in Missouri	r=0.9	23yrs	250
Burglaries in Arizona	r=0.86	38yrs	250
Lloyds Banking Group's stock price (LYG)	r=0.84	21yrs	248
The number of postal service machine operators in Kansas	r=0.95	20yrs	248
Remaining Forest Cover in the Brazilian Amazon	r=0.79	36yrs	242
Air pollution in Bridgeport, Connecticut	r=0.85	43yrs	240
Highest Nielsen rating for a TV show each year	r=0.75	46yrs	240
Burglaries in California	r=0.86	38yrs	240
Viewership count for Days of Our Lives	r=0.71	47yrs	239
Average number of milk cows in the United States	r=0.81	43yrs	238
The number of CEOs in Kentucky	r=0.94	20yrs	238
Robberies in Rhode Island	r=0.86	38yrs	230
The number of postal service machine operators in Nebraska	r=0.95	20yrs	228
Burglaries in Wisconsin	r=0.85	38yrs	219
The number of telemarketers in New Jersey	r=0.94	20yrs	218
HSBC Holdings' stock price (HSBC)	r=0.82	21yrs	215
Motor vehicle thefts in Massachusetts	r=0.85	38yrs	209
The number of conveyor operators in New Jersey	r=0.95	20yrs	208
Barclays' stock price (BCS)	r=0.81	21yrs	204
The number of data entry keyers in New York	r=0.95	20yrs	198
The number of CEOs in Ohio	r=0.94	20yrs	188
The number of typists in Ohio	r=0.95	20yrs	178
Gasoline pumped in Guam	r=0.85	42yrs	169
The number of postal service machine operators in Oklahoma	r=0.95	20yrs	168
Kerosene used in United States	r=0.84	43yrs	158
Kerosene used in Uruguay	r=0.84	42yrs	148
Petroluem consumption in Bulgaria	r=0.83	42yrs	136
Kerosene used in Bolivia	r=0.81	42yrs	123
Violent crime rates	r=0.71	38yrs	113
Gasoline pumped in Bulgaria	r=0.81	42yrs	113
Liquefied petroleum gas used in Netherlands Antilles	r=0.81	42yrs	103
Arson in United States	r=0.84	38yrs	102
Kerosene used in Romania	r=0.81	42yrs	93
Robberies in the US	r=0.81	38yrs	88
Kerosene used in U.S. Pacific Islands	r=0.81	42yrs	83
Motor vehicle thefts	r=0.76	38yrs	70
Petroluem consumption in France	r=0.75	48yrs	70
Petroluem consumption in Hungary	r=0.78	43yrs	60
Petroluem consumption in Romania	r=0.79	42yrs	50

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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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