Top variables that correlate with Popularity of the first name Chadwick

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Venezuela	r=0.96	42yrs	430
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Carjackings in the US	r=0.96	27yrs	424
Burglaries in New York	r=0.96	38yrs	416
Robberies in Oregon	r=0.96	38yrs	416
The marriage rate in Nevada	r=0.95	23yrs	412
Air pollution in Los Angeles	r=0.96	43yrs	399
Air pollution in San Diego, California	r=0.97	43yrs	398
Kerosene used in Mexico	r=0.95	40yrs	397
Air pollution in Oxnard, California	r=0.96	41yrs	394
Remaining Forest Cover in the Brazilian Amazon	r=0.9	36yrs	393
Average number of milk cows in the United States	r=0.9	43yrs	387
Arson in New York	r=0.95	38yrs	384
The divorce rate in Alabama	r=0.92	23yrs	378
The marriage rate in Idaho	r=0.92	23yrs	377
Physical album shipment volume in the United States	r=0.9	24yrs	375
The wind speed in Nashville	r=0.91	39yrs	373
Viewership count for Days of Our Lives	r=0.86	47yrs	366
Customer satisfaction with Verizon	r=0.86	28yrs	364
Air pollution in San Diego, California	r=0.95	43yrs	364
Petroluem consumption in Romania	r=0.95	42yrs	359
The number of receptionists in Missouri	r=0.92	20yrs	356
The number of file clerks in Tennessee	r=0.93	20yrs	356
US household spending on beef	r=0.91	23yrs	356
Burglary rates in the US	r=0.9	38yrs	356
The number of chemical engineers in New Mexico	r=0.93	18yrs	354
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.9	22yrs	350
US average milk-fat content of frozen dairy products	r=0.9	22yrs	350
The distance between Neptune and Mercury	r=0.89	48yrs	349
The distance between Neptune and Earth	r=0.88	48yrs	348
The distance between Neptune and the moon	r=0.88	48yrs	348
Petroluem consumption in Bulgaria	r=0.94	42yrs	348
The marriage rate in Tennessee	r=0.92	23yrs	347
Disney movies released	r=0.87	23yrs	347
GMO use in cotton in North Carolina	r=0.95	23yrs	344
The wind speed in Austin	r=0.9	39yrs	342
Ticket sales for Arizona Diamondbacks games	r=0.87	22yrs	340
The wind speed in San Diego	r=0.88	39yrs	338
Gasoline pumped in Somalia	r=0.94	42yrs	338
The marriage rate in Alabama	r=0.91	23yrs	336
Burglaries in Texas	r=0.95	38yrs	334
Air pollution in Los Angeles	r=0.95	43yrs	328
The marriage rate in Wyoming	r=0.91	23yrs	326
Kerosene used in Argentina	r=0.93	42yrs	326
Motor vehicle thefts in Massachusetts	r=0.95	38yrs	324
The number of locker room attendants in Indiana	r=0.91	19yrs	322
The distance between Neptune and the Sun	r=0.87	48yrs	316
The marriage rate in South Carolina	r=0.9	23yrs	314
Kerosene used in Brazil	r=0.92	42yrs	314
US milk fat used to produce fluid beverage milk	r=0.9	22yrs	313
Burglaries in Oregon	r=0.94	38yrs	312
The number of prepress technicians and workers in Alabama	r=0.9	20yrs	311
Air pollution in Riverside, California	r=0.92	43yrs	310
The wind speed in Milwaukee	r=0.86	39yrs	306
Gasoline pumped in Cuba	r=0.92	42yrs	304
Burglaries in California	r=0.94	38yrs	302
The number of advertising and promotions managers in Kentucky	r=0.9	19yrs	300
Cottage cheese consumption	r=0.89	32yrs	299
Air pollution in Oxnard, California	r=0.91	43yrs	298
Kerosene used in Ecuador	r=0.92	42yrs	294
Burglaries in Colorado	r=0.94	38yrs	292
The number of recreational therapists in Maine	r=0.91	18yrs	290
Frozen yogurt consumption	r=0.88	32yrs	288
Air pollution in Spokane, Washington	r=0.9	43yrs	287
Kerosene used in Uruguay	r=0.92	42yrs	284
Burglaries in Connecticut	r=0.94	38yrs	282
The number of telephone operators in Texas	r=0.9	19yrs	280
The marriage rate in Arkansas	r=0.9	23yrs	274
Kerosene used in Cuba	r=0.91	42yrs	273
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	272
The number of telephone operators in Massachusetts	r=0.9	18yrs	269
The divorce rate in Tennessee	r=0.89	23yrs	264
Kerosene used in Thailand	r=0.91	42yrs	263
Burglaries in Rhode Island	r=0.93	38yrs	261
The number of surgens in Indiana	r=0.91	16yrs	258
Customer satisfaction with Frontier Communications	r=0.84	28yrs	256
Highest Nielsen rating for a TV show each year	r=0.84	46yrs	253
The marriage rate in Arizona	r=0.89	23yrs	252
Burglaries in Washington	r=0.93	38yrs	251
The number of forest and conservation workers in Michigan	r=0.91	16yrs	248
Air pollution in New York City	r=0.89	43yrs	248
Jet fuel used in Ukraine	r=0.94	30yrs	246
The marriage rate in Ohio	r=0.89	23yrs	242
Motor vehicle thefts in New Jersey	r=0.93	38yrs	241
Petroluem consumption in Uzbekistan	r=0.93	30yrs	234
Air pollution in New York City	r=0.86	43yrs	234
The marriage rate in Virginia	r=0.89	23yrs	232
Arson in Colorado	r=0.92	38yrs	230
The divorce rate in North Carolina	r=0.87	23yrs	221
Burglaries in Florida	r=0.92	38yrs	220
Petroluem consumption in Ukraine	r=0.9	30yrs	220
Burglaries in Oklahoma	r=0.92	38yrs	210
The marriage rate in Kentucky	r=0.87	23yrs	210
Liquefied petroleum gas used in Greenland	r=0.92	22yrs	204
Motor vehicle thefts in Maine	r=0.92	38yrs	200
The marriage rate in South Dakota	r=0.87	23yrs	200
Motor vehicle thefts in Rhode Island	r=0.92	38yrs	190
The marriage rate in Wisconsin	r=0.85	23yrs	186
Gasoline pumped in France	r=0.9	43yrs	182
Kerosene used in Hong Kong	r=0.89	42yrs	170

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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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