Top variables that correlate with Popularity of the first name Mai

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

Variable	Correlation	Years	Has img?
Season wins for the San Francisco 49ers	r=0.56	48yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
Violent crime rates	r=0.92	38yrs	420
Motor vehicle thefts in New York	r=0.97	38yrs	417
Robberies in New York	r=0.97	38yrs	417
Kerosene used in Pakistan	r=0.91	42yrs	393
Carjackings in the US	r=0.91	27yrs	387
Robberies in California	r=0.95	38yrs	384
The wind speed in San Diego	r=0.93	39yrs	376
The wind speed in Austin	r=0.91	39yrs	373
Frozen yogurt consumption	r=0.91	32yrs	372
Robberies in the US	r=0.93	38yrs	361
Remaining Forest Cover in the Brazilian Amazon	r=0.88	36yrs	360
Kerosene used in Egypt	r=0.89	42yrs	360
Gasoline pumped in Austria	r=0.87	43yrs	358
The number of file clerks in Wisconsin	r=0.92	20yrs	354
The number of data entry keyers in District of Columbia	r=0.91	20yrs	352
The number of postal service machine operators in Kentucky	r=0.91	20yrs	352
Viewership count of American Idol Season Finale	r=0.89	21yrs	345
Google searches for 't-rex'	r=0.86	19yrs	336
The wind speed in Milwaukee	r=0.86	39yrs	336
Petroluem consumption in North Korea	r=0.88	42yrs	328
Motor vehicle thefts in New Jersey	r=0.94	38yrs	322
The number of brickmasons in Missouri	r=0.91	20yrs	322
Air pollution in Santa Maria, California	r=0.87	43yrs	322
Air pollution in Steamboat Springs, Colorado	r=0.9	38yrs	322
US household spending on natural gas	r=0.88	23yrs	321
Kerosene used in North Korea	r=0.88	42yrs	318
Motor vehicle thefts in Texas	r=0.94	38yrs	312
The number of sales managers in Montana	r=0.91	20yrs	312
Air pollution in Los Alamos, New Mexico	r=0.86	33yrs	311
Kerosene used in Argentina	r=0.86	42yrs	306
Google searches for 'Britney Spears'	r=0.89	15yrs	306
GMO use in corn grown in Missouri	r=0.86	23yrs	304
GMO use in corn grown in Nebraska	r=0.86	23yrs	304
Motor vehicle thefts in Texas	r=0.94	38yrs	302
The number of surveyors in Nevada	r=0.91	20yrs	302
GMO use in cotton in Arkansas	r=0.86	23yrs	301
Jet fuel used in Afghanistan	r=0.85	42yrs	294
Motor vehicle thefts in Texas	r=0.94	38yrs	292
The number of painting, coating, and decorating workers in Oklahoma	r=0.91	20yrs	292
Kerosene used in Cuba	r=0.85	42yrs	284
Robberies in Connecticut	r=0.94	38yrs	282
The number of library assistants in Oregon	r=0.91	20yrs	282
Air quality in CaÃ‚Â¤on City, Colorado	r=0.85	34yrs	280
Robberies in Connecticut	r=0.94	38yrs	272
The number of couriers and messengers in Virginia	r=0.91	20yrs	272
Petroluem consumption in Ukraine	r=0.9	30yrs	270
Air quality in CaÃ‚Â¤on City, Colorado	r=0.85	34yrs	270
The number of construction laborers in Puerto Rico	r=0.91	20yrs	262
Burglaries in New York	r=0.93	38yrs	261
Petroluem consumption in Azerbaijan	r=0.89	30yrs	258
Customer satisfaction with Verizon	r=0.82	28yrs	254
Burglaries in Connecticut	r=0.93	38yrs	251
The number of postal service machine operators in Alabama	r=0.9	20yrs	251
Petroluem consumption in Belarus	r=0.89	30yrs	248
Customer satisfaction with Walmart	r=0.78	27yrs	246
Customer satisfaction with Frontier Communications	r=0.75	28yrs	243
Burglaries in District of Columbia	r=0.93	38yrs	241
The number of postal service machine operators in Georgia	r=0.9	20yrs	241
Jet fuel used in Ukraine	r=0.88	30yrs	236
Motor vehicle thefts in Massachusetts	r=0.93	38yrs	231
The number of postal service machine operators in Maine	r=0.9	20yrs	231
NASA's budget appropriation	r=0.63	48yrs	230
U.S. intercountry adoptions	r=0.83	23yrs	228
Cottage cheese consumption	r=0.85	32yrs	228
The marriage rate in Wyoming	r=0.83	23yrs	228
The marriage rate in Alabama	r=0.82	23yrs	227
The marriage rate in Idaho	r=0.82	23yrs	227
Divorce rates in the United Kingdom	r=0.7	38yrs	226
Liquefied petroleum gas used in Azerbaijan	r=0.87	30yrs	225
Physical album shipment volume in the United States	r=0.79	24yrs	224
The average age of batters for the Kansas City Royals	r=0.64	48yrs	224
Robberies in Illinois	r=0.93	38yrs	221
The number of payroll and timekeeping clerks in Michigan	r=0.9	20yrs	221
Milk consumption	r=0.79	32yrs	220
The number of postal service machine operators in Ohio	r=0.9	20yrs	211
Robberies in New Jersey	r=0.92	38yrs	210
The number of prepress technicians and workers in Virginia	r=0.9	20yrs	201
Robberies in Washington	r=0.92	38yrs	200
The wind speed in Nashville	r=0.85	39yrs	199
The divorce rate in Mississippi	r=0.81	23yrs	197
The number of carpenters in Puerto Rico	r=0.9	20yrs	191
Arson in New York	r=0.91	38yrs	188
The divorce rate in North Carolina	r=0.81	23yrs	187
The wind speed in Boston	r=0.81	39yrs	183
The number of cabinetmakers in Puerto Rico	r=0.9	20yrs	181
The wind speed in Washington, D.C.	r=0.81	38yrs	172
The number of file clerks in South Carolina	r=0.91	18yrs	170
The divorce rate in Arkansas	r=0.8	23yrs	166
The wind speed in Anchorage	r=0.79	39yrs	160
The number of librarians in Montana	r=0.91	16yrs	158
The divorce rate in Kentucky	r=0.8	23yrs	156
The divorce rate in Wyoming	r=0.8	23yrs	146
The divorce rate in Alabama	r=0.79	23yrs	134
The divorce rate in Delaware	r=0.79	23yrs	124
Fossil fuel use in Sierra Leone	r=0.82	42yrs	118
Gasoline pumped in France	r=0.84	43yrs	108
Kerosene used in Thailand	r=0.84	42yrs	98
Jet fuel used in French Polynesia	r=0.82	42yrs	84
Gasoline pumped in North Korea	r=0.82	42yrs	74
Gasoline pumped in Cuba	r=0.81	42yrs	63
Liquefied petroleum gas used in North Korea	r=0.78	42yrs	48

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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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