Top variables that correlate with Popularity of the first name Christie

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

Variable	Correlation	Years	Sys. Score
Average number of milk cows in the United States	r=0.97	43yrs	458
Petroluem consumption in Bulgaria	r=0.98	42yrs	434
Gasoline pumped in Bulgaria	r=0.97	42yrs	432
Kerosene used in Mexico	r=0.98	40yrs	432
Carjackings in the US	r=0.96	27yrs	424
Burglaries in Colorado	r=0.97	38yrs	417
Burglaries in Oregon	r=0.96	38yrs	416
The marriage rate in Nevada	r=0.97	23yrs	414
The divorce rate in Tennessee	r=0.95	23yrs	413
The marriage rate in Tennessee	r=0.95	23yrs	412
Kerosene used in Turkiye	r=0.96	43yrs	402
US household spending on books	r=0.96	23yrs	393
Kerosene used in Ecuador	r=0.96	42yrs	390
US average milk-fat content of frozen dairy products	r=0.97	22yrs	390
The number of telephone operators in New York	r=0.97	19yrs	390
The number of human resources assistants in Vermont	r=0.96	20yrs	390
The number of switchboard operators in Wisconsin	r=0.96	20yrs	390
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	388
Arson in New York	r=0.95	38yrs	384
US birth rates of triplets or more	r=0.94	20yrs	384
Physical album shipment volume in the United States	r=0.94	24yrs	381
Ticket sales for Arizona Diamondbacks games	r=0.92	22yrs	378
Google searches for 'desktop background'	r=0.95	16yrs	376
Google searches for 'oprah winfrey'	r=0.92	19yrs	374
xkcd comics published about romance	r=0.91	16yrs	374
Google searches for 'shook'	r=0.91	19yrs	373
Pirate attacks globally	r=0.91	14yrs	371
United States music album sales	r=0.91	16yrs	368
Customer satisfaction with Verizon	r=0.88	28yrs	368
Jet fuel used in Ukraine	r=0.95	30yrs	367
Air pollution in Los Angeles	r=0.94	43yrs	366
Customer satisfaction with Frontier Communications	r=0.86	28yrs	364
Air pollution in New York City	r=0.93	43yrs	364
Air pollution in San Diego, California	r=0.94	43yrs	363
Remaining Forest Cover in the Brazilian Amazon	r=0.89	36yrs	362
The number of painting, coating, and decorating workers in Wisconsin	r=0.96	20yrs	360
US household spending on processed fruits	r=0.93	23yrs	358
US household spending on clothing	r=0.93	23yrs	358
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	358
GMO use in cotton	r=0.9	23yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
The divorce rate in Alabama	r=0.95	23yrs	353
The number of brickmasons in Puerto Rico	r=0.96	20yrs	350
Robberies in Oregon	r=0.95	38yrs	344
The marriage rate in Idaho	r=0.94	23yrs	340
Gasoline pumped in Somalia	r=0.94	42yrs	338
The number of switchboard operators in California	r=0.95	20yrs	338
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	336
Burglaries in Washington	r=0.94	38yrs	332
Air pollution in Los Angeles	r=0.91	43yrs	332
The marriage rate in Ohio	r=0.94	23yrs	330
The number of prepress technicians and workers in Indiana	r=0.95	20yrs	328
Kerosene used in Romania	r=0.93	42yrs	326
Burglaries in California	r=0.94	38yrs	322
Air pollution in Oxnard, California	r=0.94	41yrs	321
The marriage rate in South Carolina	r=0.94	23yrs	320
The number of meter readers, utilities in North Carolina	r=0.95	20yrs	318
Kerosene used in Venezuela	r=0.93	42yrs	316
Air pollution in Manchester, New Hampshire	r=0.92	43yrs	310
Burglaries in New York	r=0.92	38yrs	310
The number of switchboard operators in Ohio	r=0.95	20yrs	308
The marriage rate in Alabama	r=0.93	23yrs	308
Kerosene used in Bolivia	r=0.92	42yrs	304
Air pollution in Medford, Oregon	r=0.91	43yrs	298
The number of advertising and promotions managers in South Carolina	r=0.95	20yrs	298
The marriage rate in Arkansas	r=0.93	23yrs	298
Burglaries in Montana	r=0.9	38yrs	296
Kerosene used in Hong Kong	r=0.91	42yrs	293
The number of typists in Washington	r=0.95	20yrs	288
The marriage rate in South Dakota	r=0.93	23yrs	288
Burglaries in Oklahoma	r=0.9	38yrs	286
The number of compensation and benefits managers in Oklahoma	r=0.95	19yrs	278
The divorce rate in North Carolina	r=0.92	23yrs	278
Petroluem consumption in Ukraine	r=0.94	30yrs	276
Burglaries in Texas	r=0.9	38yrs	276
The marriage rate in Arizona	r=0.92	23yrs	267
Petroluem consumption in Azerbaijan	r=0.91	30yrs	261
The marriage rate in Kentucky	r=0.92	23yrs	257
Arson in Idaho	r=0.91	22yrs	252
Petroluem consumption in Belarus	r=0.91	30yrs	251
The marriage rate in Virginia	r=0.92	23yrs	247
Burglary rates in the US	r=0.87	38yrs	242
The number of legislators in Pennsylvania	r=0.95	20yrs	240
The divorce rate in Oregon	r=0.91	23yrs	237
Jet fuel used in Saint Vincent/Grenadines	r=0.91	24yrs	235
Arson in United States	r=0.85	38yrs	229
The number of telemarketers in California	r=0.94	20yrs	228
The marriage rate in Wyoming	r=0.91	23yrs	226
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	224
The number of prepress technicians and workers in California	r=0.95	20yrs	218
The divorce rate in New Hampshire	r=0.9	23yrs	216
The number of computer programmers in Colorado	r=0.94	20yrs	208
The divorce rate in Wyoming	r=0.9	23yrs	206
Petroluem consumption in Romania	r=0.9	42yrs	202
The number of proofreaders in Connecticut	r=0.95	20yrs	198
Kerosene used in Uruguay	r=0.9	42yrs	192
The number of typists in Kansas	r=0.95	20yrs	188
Gasoline pumped in Cuba	r=0.89	42yrs	180
The number of file clerks in North Carolina	r=0.95	20yrs	178
The number of CEOs in Ohio	r=0.94	20yrs	168
Kerosene used in Australia	r=0.87	43yrs	168

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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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