Top variables that correlate with Popularity of the first name Jackie

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Remaining Forest Cover in the Brazilian Amazon	r=0.95	36yrs	430
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=0.92	43yrs	420
Burglaries in New York	r=0.98	38yrs	418
Burglaries in California	r=0.97	38yrs	417
Burglaries in Colorado	r=0.97	38yrs	417
The marriage rate in Nevada	r=0.95	23yrs	412
The marriage rate in South Dakota	r=0.95	23yrs	412
Air pollution in San Diego, California	r=0.95	43yrs	394
Air pollution in Oxnard, California	r=0.95	41yrs	392
Burglaries in Connecticut	r=0.97	38yrs	387
The distance between Neptune and Mercury	r=0.93	48yrs	385
The distance between Neptune and Earth	r=0.92	48yrs	384
The distance between Neptune and the moon	r=0.92	48yrs	384
US birth rates of triplets or more	r=0.92	20yrs	382
The marriage rate in Arkansas	r=0.95	23yrs	382
Physical album shipment volume in the United States	r=0.93	24yrs	380
Per capita consumption of margarine	r=0.97	10yrs	378
Arson in New York	r=0.96	38yrs	376
The wind speed in Austin	r=0.93	39yrs	376
Cottage cheese consumption	r=0.92	32yrs	374
The wind speed in Nashville	r=0.91	39yrs	373
The wind speed in San Diego	r=0.9	39yrs	372
Viewership count for Days of Our Lives	r=0.88	47yrs	370
Petroluem consumption in Bulgaria	r=0.94	42yrs	368
Burglaries in Oregon	r=0.96	38yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Highest Nielsen rating for a TV show each year	r=0.85	46yrs	360
US household spending on clothing	r=0.94	23yrs	360
US household spending on clothin for women	r=0.94	23yrs	360
US household spending on books	r=0.94	23yrs	360
Kerosene used in Uruguay	r=0.94	42yrs	358
US household spending on clothing for men	r=0.93	23yrs	358
GMO use in cotton	r=0.9	23yrs	357
Burglaries in Texas	r=0.96	38yrs	356
The number of file clerks in Massachusetts	r=0.93	20yrs	356
The number of advertising sales agents in Missouri	r=0.93	20yrs	356
The number of computer programmers in North Carolina	r=0.92	20yrs	356
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.93	22yrs	354
The distance between Neptune and the Sun	r=0.91	48yrs	352
The marriage rate in Alabama	r=0.94	23yrs	350
Motor vehicle thefts in Massachusetts	r=0.96	38yrs	346
Kerosene used in Venezuela	r=0.93	42yrs	346
The marriage rate in Idaho	r=0.94	23yrs	340
Robberies in Oregon	r=0.96	38yrs	336
Kerosene used in Ecuador	r=0.92	42yrs	334
Air pollution in Los Angeles	r=0.93	43yrs	334
The marriage rate in Ohio	r=0.94	23yrs	330
The number of file clerks in Ohio	r=0.93	20yrs	326
Burglaries in Florida	r=0.95	38yrs	324
Kerosene used in Portugal	r=0.91	43yrs	324
US average milk-fat content of frozen dairy products	r=0.93	22yrs	324
Carjackings in the US	r=0.92	27yrs	323
Air pollution in New York City	r=0.92	43yrs	323
The marriage rate in Tennessee	r=0.94	23yrs	320
The number of postal service machine operators in Oregon	r=0.93	20yrs	316
Burglaries in Rhode Island	r=0.95	38yrs	314
Petroluem consumption in Romania	r=0.92	42yrs	314
Air pollution in San Diego, California	r=0.93	43yrs	312
The divorce rate in Alabama	r=0.93	23yrs	310
The number of payroll and timekeeping clerks in Wisconsin	r=0.93	20yrs	306
Gasoline pumped in Somalia	r=0.92	42yrs	304
The divorce rate in North Carolina	r=0.93	23yrs	300
Air pollution in Norwich, Connecticut	r=0.92	42yrs	299
The number of telemarketers in California	r=0.91	20yrs	294
Burglary rates in the US	r=0.94	38yrs	292
Kerosene used in Bolivia	r=0.9	42yrs	292
The divorce rate in Tennessee	r=0.93	23yrs	290
Air pollution in Spokane, Washington	r=0.91	43yrs	288
The number of sewing machine operators in California	r=0.92	20yrs	284
Gasoline pumped in Cuba	r=0.9	42yrs	282
Arson in United States	r=0.93	38yrs	281
The marriage rate in Kentucky	r=0.93	23yrs	278
Air pollution in Oxnard, California	r=0.9	43yrs	277
The number of computer programmers in Colorado	r=0.91	20yrs	274
The marriage rate in South Carolina	r=0.93	23yrs	268
Air pollution in Steamboat Springs, Colorado	r=0.92	38yrs	265
Jet fuel used in Ukraine	r=0.91	30yrs	261
The marriage rate in Virginia	r=0.93	23yrs	258
The marriage rate in Wyoming	r=0.93	23yrs	248
Burglaries in New Mexico	r=0.95	38yrs	244
The marriage rate in Arizona	r=0.92	23yrs	237
Petroluem consumption in Former Czechoslovakia	r=0.92	13yrs	236
Burglaries in Oklahoma	r=0.95	38yrs	234
The marriage rate in Missouri	r=0.92	23yrs	227
Arson in Colorado	r=0.94	38yrs	222
Kerosene used in Argentina	r=0.9	42yrs	222
The divorce rate in Florida	r=0.91	23yrs	217
Burglaries in Michigan	r=0.94	38yrs	212
Kerosene used in Brazil	r=0.9	42yrs	212
The divorce rate in Kentucky	r=0.91	23yrs	207
Burglaries in Minnesota	r=0.94	38yrs	202
Kerosene used in Cuba	r=0.9	42yrs	202
The divorce rate in Ohio	r=0.91	23yrs	197
Burglaries in Virginia	r=0.94	38yrs	192
Kerosene used in Hong Kong	r=0.9	42yrs	192
The divorce rate in Wyoming	r=0.91	23yrs	187
Kerosene used in Romania	r=0.9	42yrs	182
Kerosene used in Thailand	r=0.9	42yrs	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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