Top variables that correlate with Popularity of the first name Christen

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

Variable	Correlation	Years	Sys. Score
Arson in United States	r=0.97	38yrs	437
Remaining Forest Cover in the Brazilian Amazon	r=0.98	36yrs	435
Kerosene used in Thailand	r=0.96	42yrs	430
Carjackings in the US	r=0.96	27yrs	424
Burglaries in New York	r=0.98	38yrs	418
Physical album shipment volume in the United States	r=0.97	24yrs	416
The marriage rate in Nevada	r=0.98	23yrs	416
The marriage rate in Idaho	r=0.97	23yrs	414
The marriage rate in Tennessee	r=0.97	23yrs	414
The wind speed in Austin	r=0.96	39yrs	410
Gasoline pumped in France	r=0.95	43yrs	400
Kerosene used in Argentina	r=0.95	42yrs	399
Air pollution in Los Angeles	r=0.95	43yrs	398
US household spending on books	r=0.98	23yrs	396
Air pollution in Oxnard, California	r=0.97	41yrs	396
Air pollution in Oxnard, California	r=0.96	43yrs	396
The number of CEOs in Kentucky	r=0.97	20yrs	393
The number of telemarketers in New Jersey	r=0.97	20yrs	393
The number of telemarketers in California	r=0.96	20yrs	392
US household spending on clothing	r=0.95	23yrs	392
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.96	22yrs	389
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
Burglaries in California	r=0.98	38yrs	388
The divorce rate in Alabama	r=0.96	23yrs	384
US birth rates of triplets or more	r=0.94	20yrs	384
Average number of milk cows in the United States	r=0.87	43yrs	382
Google searches for 'learn spanish'	r=0.95	19yrs	379
Google searches for 'panama canal'	r=0.94	19yrs	378
Google searches for 'black holes'	r=0.94	19yrs	378
Arson in California	r=0.97	38yrs	377
The wind speed in San Diego	r=0.92	39yrs	374
The marriage rate in Arkansas	r=0.96	23yrs	373
The wind speed in Nashville	r=0.91	39yrs	373
United States music album sales	r=0.92	16yrs	370
Gasoline pumped in Cuba	r=0.95	42yrs	369
Burglaries in Connecticut	r=0.97	38yrs	367
The marriage rate in Ohio	r=0.96	23yrs	363
The number of data entry keyers in California	r=0.97	20yrs	362
Kerosene used in Cuba	r=0.95	42yrs	359
Motor vehicle thefts in Massachusetts	r=0.97	38yrs	357
The divorce rate in Tennessee	r=0.95	23yrs	353
The number of switchboard operators in Indiana	r=0.97	20yrs	352
Gasoline pumped in Bulgaria	r=0.94	42yrs	348
US milk fat used to produce fluid beverage milk	r=0.93	22yrs	348
Robberies in Oregon	r=0.97	38yrs	347
Google searches for 'Panama Canal'	r=0.93	19yrs	346
The marriage rate in Arizona	r=0.95	23yrs	342
The number of file clerks in Maryland	r=0.97	20yrs	342
Kerosene used in Uruguay	r=0.94	42yrs	338
Air pollution in Los Angeles	r=0.94	43yrs	336
Arson in Nevada	r=0.96	38yrs	336
Frozen yogurt consumption	r=0.93	32yrs	335
Google searches for 'snoop dog'	r=0.92	19yrs	334
The marriage rate in Virginia	r=0.95	23yrs	332
The number of typists in Ohio	r=0.97	20yrs	332
Kerosene used in Venezuela	r=0.94	42yrs	328
Burglaries in Florida	r=0.96	38yrs	326
Google searches for 'oprah winfrey'	r=0.9	19yrs	322
The number of meter readers, utilities in Alabama	r=0.96	20yrs	320
Kerosene used in Egypt	r=0.93	42yrs	316
Burglaries in Minnesota	r=0.96	38yrs	316
The number of sewing machine operators in California	r=0.96	20yrs	310
Burglaries in New Jersey	r=0.96	38yrs	306
Kerosene used in Australia	r=0.91	43yrs	304
The number of typists in Florida	r=0.96	20yrs	300
Burglaries in Oregon	r=0.96	38yrs	296
Kerosene used in Turkiye	r=0.91	43yrs	294
The marriage rate in South Dakota	r=0.95	23yrs	292
The number of switchboard operators in Georgia	r=0.96	20yrs	290
Burglaries in Colorado	r=0.96	38yrs	286
Kerosene used in Brazil	r=0.91	42yrs	283
The number of telemarketers in Illinois	r=0.95	20yrs	280
The marriage rate in Alabama	r=0.94	23yrs	280
Robberies in Michigan	r=0.96	38yrs	276
Gasoline pumped in Somalia	r=0.91	42yrs	273
The number of typists in Iowa	r=0.96	20yrs	270
The marriage rate in Kentucky	r=0.94	23yrs	270
Arson in New Jersey	r=0.95	38yrs	264
Kerosene used in Ecuador	r=0.9	42yrs	262
The number of file clerks in Massachusetts	r=0.96	20yrs	260
The marriage rate in South Carolina	r=0.94	23yrs	260
Arson in Colorado	r=0.95	38yrs	254
Kerosene used in Mexico	r=0.92	40yrs	252
The number of sewing machine operators in New Jersey	r=0.96	20yrs	250
The marriage rate in Wyoming	r=0.94	23yrs	250
Burglaries in Illinois	r=0.95	38yrs	244
The number of conveyor operators in New Jersey	r=0.96	20yrs	240
The divorce rate in North Carolina	r=0.92	23yrs	238
Burglaries in New Mexico	r=0.95	38yrs	234
Gasoline pumped in Germany	r=0.92	32yrs	234
The number of brokerage clerks in New York	r=0.96	20yrs	230
The marriage rate in Missouri	r=0.92	23yrs	227
Burglaries in Virginia	r=0.95	38yrs	224
Petroluem consumption in Uzbekistan	r=0.91	30yrs	221
The number of prepress technicians and workers in New York	r=0.96	20yrs	220
The marriage rate in North Carolina	r=0.91	23yrs	216
The number of prepress technicians and workers in North Carolina	r=0.96	20yrs	210
Liquefied petroleum gas used in Greenland	r=0.94	22yrs	208
The marriage rate in Wisconsin	r=0.91	23yrs	206
The number of switchboard operators in Tennessee	r=0.96	20yrs	200
The divorce rate in Wyoming	r=0.9	23yrs	196

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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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