Top variables that correlate with Popularity of the first name Keisha

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

Variable	Correlation	Years	Has img?
How provocative LockPickingLawyer YouTube video titles are	r=0.9	8yrs	No
Number of Portugal matches played by Cristiano Ronaldo	r=0.83	20yrs	No

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Venezuela	r=0.96	42yrs	430
Burglaries in New York	r=0.98	38yrs	418
Arson in New York	r=0.97	38yrs	417
Robberies in Oregon	r=0.97	38yrs	417
Kerosene used in Argentina	r=0.95	42yrs	399
Petroluem consumption in Romania	r=0.95	42yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
Air pollution in San Diego, California	r=0.96	43yrs	396
Air pollution in Oxnard, California	r=0.96	41yrs	394
Burglaries in California	r=0.96	38yrs	386
The distance between Neptune and Mercury	r=0.93	48yrs	385
The distance between Neptune and Earth	r=0.92	48yrs	384
The distance between Neptune and the moon	r=0.92	48yrs	384
Average number of milk cows in the United States	r=0.87	43yrs	382
The marriage rate in Nevada	r=0.93	23yrs	378
The marriage rate in Tennessee	r=0.93	23yrs	378
The divorce rate in Tennessee	r=0.92	23yrs	378
Burglaries in Connecticut	r=0.96	38yrs	376
Physical album shipment volume in the United States	r=0.91	24yrs	376
The wind speed in Austin	r=0.92	39yrs	374
The wind speed in Nashville	r=0.91	39yrs	373
The wind speed in San Diego	r=0.91	39yrs	373
Viewership count for Days of Our Lives	r=0.89	47yrs	371
Gasoline pumped in Cuba	r=0.94	42yrs	368
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	366
Customer satisfaction with Verizon	r=0.87	28yrs	366
Customer satisfaction with Frontier Communications	r=0.86	28yrs	364
Highest Nielsen rating for a TV show each year	r=0.87	46yrs	362
Kerosene used in Turkiye	r=0.94	43yrs	358
The number of pipelayers in Colorado	r=0.94	20yrs	357
Motor vehicle thefts in Oklahoma	r=0.96	38yrs	356
US household spending on books	r=0.9	23yrs	354
The distance between Neptune and the Sun	r=0.91	48yrs	352
The number of home appliance repairers in Indiana	r=0.91	20yrs	352
The number of computer programmers in Michigan	r=0.9	20yrs	352
The marriage rate in Alabama	r=0.92	23yrs	347
Gasoline pumped in Bulgaria	r=0.93	42yrs	346
Burglaries in Colorado	r=0.95	38yrs	344
Carjackings in the US	r=0.95	27yrs	343
Frozen yogurt consumption	r=0.9	32yrs	340
Air pollution in Los Angeles	r=0.95	43yrs	338
Ticket sales for Arizona Diamondbacks games	r=0.86	22yrs	338
Kerosene used in Cuba	r=0.93	42yrs	336
The marriage rate in Wyoming	r=0.91	23yrs	336
Google searches for 'oprah winfrey'	r=0.86	19yrs	336
Google searches for 'learn spanish'	r=0.85	19yrs	334
Gasoline pumped in Somalia	r=0.93	42yrs	326
Air pollution in Los Angeles	r=0.94	43yrs	326
The marriage rate in Arizona	r=0.9	23yrs	324
US household spending on clothing for men	r=0.9	23yrs	324
The number of carpenters in Mississippi	r=0.91	20yrs	322
Burglary rates in the US	r=0.92	38yrs	320
Kerosene used in Thailand	r=0.93	42yrs	316
The number of cabinetmakers in Mississippi	r=0.91	20yrs	312
Air pollution in Oxnard, California	r=0.92	43yrs	310
Arson in United States	r=0.91	38yrs	308
The wind speed in Milwaukee	r=0.87	39yrs	307
Kerosene used in Uruguay	r=0.93	42yrs	306
The number of brickmasons in New Mexico	r=0.91	20yrs	302
Air pollution in Riverside, California	r=0.92	43yrs	300
Gasoline pumped in France	r=0.91	43yrs	294
The number of typists in Oregon	r=0.91	20yrs	292
The divorce rate in Alabama	r=0.9	23yrs	286
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	285
Kerosene used in Brazil	r=0.91	42yrs	283
The number of typists in Missouri	r=0.91	19yrs	282
Kerosene used in Ecuador	r=0.91	42yrs	273
Burglaries in Oregon	r=0.94	38yrs	272
The marriage rate in Idaho	r=0.89	23yrs	272
The number of transportation inspectors in Louisiana	r=0.9	20yrs	271
Kerosene used in Egypt	r=0.91	42yrs	263
Burglaries in Rhode Island	r=0.94	38yrs	262
The marriage rate in Ohio	r=0.89	23yrs	262
The number of human resources assistants in Utah	r=0.9	20yrs	261
Kerosene used in Mexico	r=0.92	40yrs	252
Burglaries in Texas	r=0.94	38yrs	252
The marriage rate in South Carolina	r=0.89	23yrs	252
The number of boiler operators in South Carolina	r=0.9	19yrs	250
Air pollution in New York City	r=0.88	43yrs	247
Motor vehicle thefts in New Jersey	r=0.94	38yrs	242
The divorce rate in New Hampshire	r=0.88	23yrs	242
Air pollution in New York City	r=0.87	43yrs	236
Robberies in New York	r=0.94	38yrs	232
Jet fuel used in Ukraine	r=0.92	30yrs	232
The divorce rate in North Carolina	r=0.88	23yrs	232
Arson in Colorado	r=0.93	38yrs	221
The marriage rate in Arkansas	r=0.88	23yrs	221
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	214
Burglaries in Florida	r=0.93	38yrs	211
The marriage rate in South Dakota	r=0.88	23yrs	211
Burglaries in New Mexico	r=0.93	38yrs	201
The marriage rate in Kentucky	r=0.87	23yrs	200
Petroluem consumption in Germany, West	r=0.92	16yrs	198
Burglaries in Oklahoma	r=0.93	38yrs	191
The marriage rate in Virginia	r=0.87	23yrs	190
Petroluem consumption in Bulgaria	r=0.9	42yrs	182
The divorce rate in Kentucky	r=0.86	23yrs	180
Kerosene used in Pakistan	r=0.89	42yrs	170
The divorce rate in Mississippi	r=0.86	23yrs	170
The divorce rate in Ohio	r=0.85	23yrs	158

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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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