Top variables that correlate with Popularity of the first name Janine

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.97	40yrs	430
Gasoline pumped in Bulgaria	r=0.95	42yrs	429
Average number of milk cows in the United States	r=0.94	43yrs	423
Arson in New York	r=0.98	38yrs	418
Burglaries in New York	r=0.98	38yrs	418
Burglaries in California	r=0.97	38yrs	417
Remaining Forest Cover in the Brazilian Amazon	r=0.94	36yrs	399
Air pollution in Oxnard, California	r=0.95	41yrs	392
Burglaries in Colorado	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.94	48yrs	386
The distance between Neptune and the Sun	r=0.93	48yrs	385
The distance between Neptune and Earth	r=0.93	48yrs	385
Physical album shipment volume in the United States	r=0.93	24yrs	380
The marriage rate in Nevada	r=0.94	23yrs	380
The marriage rate in Arkansas	r=0.93	23yrs	378
The marriage rate in Virginia	r=0.93	23yrs	378
Robberies in Oregon	r=0.97	38yrs	377
The wind speed in Austin	r=0.91	39yrs	373
The wind speed in Nashville	r=0.91	39yrs	373
Viewership count for Days of Our Lives	r=0.89	47yrs	371
Cottage cheese consumption	r=0.9	32yrs	370
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
Burglaries in Connecticut	r=0.96	38yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Air pollution in Los Angeles	r=0.93	43yrs	364
Kerosene used in Ecuador	r=0.94	42yrs	358
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	356
US household spending on books	r=0.91	23yrs	356
The distance between Neptune and the moon	r=0.93	48yrs	355
The number of floral designers in Kentucky	r=0.91	20yrs	352
US average milk-fat content of frozen dairy products	r=0.9	22yrs	350
Kerosene used in Venezuela	r=0.94	42yrs	348
The number of forest and conservation workers in Michigan	r=0.91	16yrs	348
The marriage rate in Idaho	r=0.92	23yrs	347
Burglaries in Oregon	r=0.95	38yrs	344
GMO use in corn grown in South Dakota	r=0.92	23yrs	343
Carjackings in the US	r=0.94	27yrs	342
The wind speed in San Diego	r=0.9	39yrs	342
GMO use in cotton in North Carolina	r=0.9	23yrs	337
Kerosene used in Uruguay	r=0.93	42yrs	336
The marriage rate in Ohio	r=0.91	23yrs	336
Total annual sales of Ford Motors in the United States	r=0.86	23yrs	335
Air pollution in San Diego, California	r=0.94	43yrs	333
The marriage rate in Tennessee	r=0.91	23yrs	326
Gasoline pumped in Somalia	r=0.92	42yrs	324
Air pollution in New York City	r=0.91	43yrs	322
GMO use in cotton	r=0.87	23yrs	322
US household spending on clothing	r=0.89	23yrs	322
Arson in United States	r=0.93	38yrs	321
The marriage rate in Kentucky	r=0.9	23yrs	314
Gasoline pumped in Cuba	r=0.91	42yrs	313
Burglary rates in the US	r=0.93	38yrs	311
Frozen yogurt consumption	r=0.9	32yrs	310
Air pollution in Norwich, Connecticut	r=0.92	42yrs	309
The wind speed in Minneapolis	r=0.88	39yrs	308
The marriage rate in South Dakota	r=0.9	23yrs	304
Kerosene used in Cuba	r=0.91	42yrs	303
Air pollution in San Diego, California	r=0.91	43yrs	298
US milk fat used to produce fluid beverage milk	r=0.86	22yrs	297
The wind speed in Milwaukee	r=0.87	39yrs	297
Kerosene used in Hong Kong	r=0.91	42yrs	293
Air pollution in Spokane, Washington	r=0.9	43yrs	287
Kerosene used in Australia	r=0.9	43yrs	282
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	275
Kerosene used in Bolivia	r=0.9	42yrs	272
Arson in Colorado	r=0.94	38yrs	272
The divorce rate in Tennessee	r=0.9	23yrs	266
Petroluem consumption in Romania	r=0.9	42yrs	262
Burglaries in Montana	r=0.94	38yrs	262
Customer satisfaction with Verizon	r=0.83	28yrs	255
The marriage rate in South Carolina	r=0.9	23yrs	254
Burglaries in Rhode Island	r=0.94	38yrs	252
Highest Nielsen rating for a TV show each year	r=0.83	46yrs	252
Customer satisfaction with Frontier Communications	r=0.81	28yrs	252
Jet fuel used in Ukraine	r=0.95	30yrs	247
The divorce rate in Alabama	r=0.89	23yrs	244
Burglaries in Texas	r=0.94	38yrs	242
Air pollution in Manchester, New Hampshire	r=0.9	43yrs	237
Motor vehicle thefts in Oklahoma	r=0.94	38yrs	232
The marriage rate in Arizona	r=0.89	23yrs	232
Petroluem consumption in Ukraine	r=0.91	30yrs	231
Air pollution in New York City	r=0.88	43yrs	227
Robberies in Michigan	r=0.94	38yrs	222
The divorce rate in North Carolina	r=0.88	23yrs	222
Petroluem consumption in Uzbekistan	r=0.91	30yrs	221
Air pollution in Oxnard, California	r=0.89	43yrs	216
Robberies in New York	r=0.94	38yrs	212
The marriage rate in Wisconsin	r=0.88	23yrs	211
Air pollution in Riverside, California	r=0.89	43yrs	206
Arson in California	r=0.93	38yrs	201
The marriage rate in Wyoming	r=0.88	23yrs	201
Kerosene used in Argentina	r=0.9	42yrs	192
Burglaries in Florida	r=0.93	38yrs	191
The marriage rate in Alabama	r=0.87	23yrs	190
Kerosene used in Romania	r=0.9	42yrs	182
The marriage rate in Missouri	r=0.87	23yrs	180
Kerosene used in Thailand	r=0.9	42yrs	172
The divorce rate in Oregon	r=0.86	23yrs	170
The marriage rate in Texas	r=0.86	23yrs	158
The divorce rate in Ohio	r=0.85	23yrs	148

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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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