Top variables that correlate with Popularity of the first name Kristi

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

Variable	Correlation	Years	Sys. Score
Average number of milk cows in the United States	r=0.96	43yrs	456
Kerosene used in Turkiye	r=0.98	43yrs	434
Kerosene used in Mexico	r=0.99	40yrs	433
Petroluem consumption in Bulgaria	r=0.96	42yrs	430
Carjackings in the US	r=0.97	27yrs	426
Arson in New York	r=0.97	38yrs	417
Burglaries in Colorado	r=0.97	38yrs	417
The marriage rate in Tennessee	r=0.98	23yrs	416
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Ohio	r=0.96	23yrs	413
Google searches for 'learn spanish'	r=0.96	19yrs	410
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
US household spending on books	r=0.96	23yrs	393
The number of typists in Florida	r=0.97	20yrs	392
The number of typists in Iowa	r=0.97	20yrs	392
The number of CEOs in Kentucky	r=0.96	20yrs	392
Robberies in Oregon	r=0.96	38yrs	386
Physical album shipment volume in the United States	r=0.95	24yrs	382
US birth rates of triplets or more	r=0.91	20yrs	380
The distance between Neptune and Mercury	r=0.9	48yrs	380
Google searches for 'snoop dog'	r=0.94	19yrs	378
Google searches for 'black holes'	r=0.94	19yrs	378
Popularity of the 'all your base' meme	r=0.9	17yrs	376
Burglaries in California	r=0.95	38yrs	374
US milk fat used to produce fluid beverage milk	r=0.91	22yrs	374
Ticket sales for Arizona Diamondbacks games	r=0.9	22yrs	374
The wind speed in Nashville	r=0.9	39yrs	372
Customer satisfaction with Verizon	r=0.88	28yrs	368
Air pollution in Los Angeles	r=0.93	43yrs	364
Remaining Forest Cover in the Brazilian Amazon	r=0.9	36yrs	363
Air pollution in San Diego, California	r=0.94	43yrs	363
The number of sewing machine operators in New Jersey	r=0.97	20yrs	362
Highest Nielsen rating for a TV show each year	r=0.86	46yrs	361
Air pollution in Oxnard, California	r=0.94	41yrs	361
Kerosene used in Ecuador	r=0.94	42yrs	358
US household spending on clothing for men	r=0.93	23yrs	358
The divorce rate in Alabama	r=0.95	23yrs	353
The number of telemarketers in Illinois	r=0.95	20yrs	350
Kerosene used in Portugal	r=0.92	43yrs	346
Google searches for 'Panama Canal'	r=0.93	19yrs	346
The marriage rate in South Carolina	r=0.95	23yrs	342
The number of prepress technicians and workers in New York	r=0.96	20yrs	340
Kerosene used in Bolivia	r=0.92	42yrs	334
Burglaries in New York	r=0.95	38yrs	334
Google searches for 'shook'	r=0.92	19yrs	334
The divorce rate in Tennessee	r=0.94	23yrs	332
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	330
Air pollution in Los Angeles	r=0.9	43yrs	330
Kerosene used in Romania	r=0.92	42yrs	324
Burglaries in Oregon	r=0.95	38yrs	324
Google searches for 'panama canal'	r=0.92	19yrs	324
The number of typists in Ohio	r=0.96	20yrs	320
The marriage rate in Arizona	r=0.94	23yrs	320
Air pollution in New York City	r=0.9	43yrs	320
Kerosene used in Uruguay	r=0.92	42yrs	314
The number of brickmasons in Ohio	r=0.96	20yrs	310
Burglaries in Washington	r=0.92	38yrs	310
The marriage rate in Arkansas	r=0.93	23yrs	308
Air pollution in Manchester, New Hampshire	r=0.91	43yrs	308
Kerosene used in Venezuela	r=0.92	42yrs	304
The number of sewing machine operators in Pennsylvania	r=0.96	20yrs	300
Motor vehicle thefts in Oklahoma	r=0.92	38yrs	300
The marriage rate in Virginia	r=0.93	23yrs	298
Kerosene used in Hong Kong	r=0.91	42yrs	293
The number of compensation and benefits managers in Indiana	r=0.97	19yrs	290
Arson in Colorado	r=0.91	38yrs	288
The marriage rate in Idaho	r=0.92	23yrs	287
Gasoline pumped in Somalia	r=0.91	42yrs	283
The number of compensation and benefits managers in Louisiana	r=0.97	19yrs	280
Burglaries in Montana	r=0.91	38yrs	278
The marriage rate in Kentucky	r=0.92	23yrs	277
Petroluem consumption in Romania	r=0.9	42yrs	272
The number of compensation and benefits managers in Tennessee	r=0.97	19yrs	270
Burglaries in Oklahoma	r=0.91	38yrs	268
The marriage rate in South Dakota	r=0.92	23yrs	267
The number of sewing machine operators in Alabama	r=0.95	20yrs	258
Burglaries in Rhode Island	r=0.91	38yrs	258
Petroluem consumption in Ukraine	r=0.95	30yrs	257
The marriage rate in Wyoming	r=0.91	23yrs	256
The number of advertising and promotions managers in Idaho	r=0.95	20yrs	248
Burglaries in Texas	r=0.91	38yrs	248
Jet fuel used in Ukraine	r=0.94	30yrs	246
The marriage rate in Alabama	r=0.9	23yrs	244
The number of typists in Indiana	r=0.95	20yrs	238
Burglaries in Connecticut	r=0.91	38yrs	238
Petroluem consumption in Belarus	r=0.93	30yrs	234
The marriage rate in North Carolina	r=0.9	23yrs	234
The number of floral designers in Kentucky	r=0.95	20yrs	228
Motor vehicle thefts in Massachusetts	r=0.91	38yrs	228
The marriage rate in Wisconsin	r=0.9	23yrs	224
Petroluem consumption in Azerbaijan	r=0.92	30yrs	222
The number of switchboard operators in Michigan	r=0.95	20yrs	218
Robberies in Michigan	r=0.91	38yrs	218
The number of file clerks in Michigan	r=0.95	20yrs	208
Burglaries in Alaska	r=0.9	38yrs	206
Liquefied petroleum gas used in Greenland	r=0.9	22yrs	202
The number of postal service clerks in Rhode Island	r=0.95	20yrs	198
Gasoline pumped in Kosovo	r=0.94	14yrs	190
Burglary rates in the US	r=0.88	38yrs	184
Wind power generated in Fiji	r=0.9	15yrs	178
Arson in United States	r=0.87	38yrs	172

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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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