Top variables that correlate with Popularity of the first name Janna

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

Variable	Correlation	Years	Has img?
Air pollution in New York City	r=0.95	43yrs	No

Popularity of the first name Janna also correlates with...

Variable	Correlation	Years	Sys. Score
Gasoline pumped in Bulgaria	r=0.96	42yrs	430
Petroluem consumption in Bulgaria	r=0.95	42yrs	429
Kerosene used in Mexico	r=0.96	40yrs	428
Burglaries in Colorado	r=0.98	38yrs	418
Average number of milk cows in the United States	r=0.9	43yrs	417
Burglaries in Oregon	r=0.97	38yrs	417
Burglaries in Washington	r=0.96	38yrs	416
Air pollution in Los Angeles	r=0.95	43yrs	398
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	396
Air pollution in Oxnard, California	r=0.96	41yrs	394
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
Robberies in Oregon	r=0.95	38yrs	384
Physical album shipment volume in the United States	r=0.94	24yrs	381
The marriage rate in Idaho	r=0.94	23yrs	380
The marriage rate in Nevada	r=0.94	23yrs	380
The divorce rate in Alabama	r=0.92	23yrs	378
Cottage cheese consumption	r=0.94	32yrs	376
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
Google searches for 'learn spanish'	r=0.9	19yrs	372
Kerosene used in Turkiye	r=0.95	43yrs	370
Viewership count for Days of Our Lives	r=0.88	47yrs	370
Highest Nielsen rating for a TV show each year	r=0.85	46yrs	360
Arson in United States	r=0.91	38yrs	358
Gasoline pumped in Somalia	r=0.94	42yrs	358
GMO use in cotton	r=0.91	23yrs	358
The number of data entry keyers in Washington	r=0.93	20yrs	356
The distance between Neptune and the moon	r=0.93	48yrs	355
The number of typists in Florida	r=0.92	20yrs	354
The number of sewing machine operators in Hawaii	r=0.92	20yrs	354
Burglary rates in the US	r=0.91	38yrs	348
The marriage rate in Virginia	r=0.92	23yrs	347
Kerosene used in Brazil	r=0.93	42yrs	346
US birth rates of triplets or more	r=0.87	20yrs	344
GMO use in corn grown in South Dakota	r=0.92	23yrs	343
Milk consumption	r=0.9	32yrs	342
GMO use in cotton in North Carolina	r=0.92	23yrs	340
Air pollution in Los Angeles	r=0.95	43yrs	338
The marriage rate in Arkansas	r=0.91	23yrs	336
Petroluem consumption in Romania	r=0.92	42yrs	334
The marriage rate in Wyoming	r=0.91	23yrs	326
Kerosene used in Romania	r=0.92	42yrs	324
Air pollution in San Diego, California	r=0.95	43yrs	324
The number of CEOs in Kentucky	r=0.91	20yrs	324
Burglaries in New York	r=0.94	38yrs	322
Kerosene used in Venezuela	r=0.92	42yrs	314
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.93	22yrs	314
The number of floral designers in Kentucky	r=0.92	20yrs	314
Air pollution in San Diego, California	r=0.94	43yrs	313
Burglaries in Oklahoma	r=0.94	38yrs	312
US average milk-fat content of frozen dairy products	r=0.93	22yrs	304
The number of couriers and messengers in Kentucky	r=0.92	20yrs	304
Gasoline pumped in Cuba	r=0.91	42yrs	303
Burglaries in Texas	r=0.94	38yrs	302
Air pollution in Oxnard, California	r=0.92	43yrs	300
The number of sewing machine operators in New Jersey	r=0.92	20yrs	294
Kerosene used in Ecuador	r=0.91	42yrs	293
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.92	22yrs	293
Burglaries in California	r=0.94	38yrs	292
Air pollution in Riverside, California	r=0.92	43yrs	290
Kerosene used in Thailand	r=0.91	42yrs	283
The marriage rate in Tennessee	r=0.89	23yrs	282
The number of sewing machine operators in Alabama	r=0.91	20yrs	282
Arson in New York	r=0.93	38yrs	281
Kerosene used in Uruguay	r=0.91	42yrs	273
The divorce rate in Kentucky	r=0.88	23yrs	272
The number of switchboard operators in Delaware	r=0.91	20yrs	272
Arson in Colorado	r=0.93	38yrs	271
The divorce rate in North Carolina	r=0.88	23yrs	262
Kerosene used in Hong Kong	r=0.9	42yrs	262
The number of postal service machine operators in Delaware	r=0.91	20yrs	262
Burglaries in Michigan	r=0.93	38yrs	261
Kerosene used in United States	r=0.9	43yrs	252
The number of telephone operators in Florida	r=0.91	19yrs	252
The marriage rate in Kentucky	r=0.88	23yrs	251
Motor vehicle thefts in Massachusetts	r=0.93	38yrs	251
Carjackings in the US	r=0.86	27yrs	250
The number of advertising and promotions managers in Idaho	r=0.91	20yrs	242
The marriage rate in South Dakota	r=0.88	23yrs	241
Burglaries in Minnesota	r=0.92	38yrs	240
Gasoline pumped in Germany	r=0.91	32yrs	233
The number of telemarketers in Illinois	r=0.9	20yrs	232
The divorce rate in Tennessee	r=0.87	23yrs	231
Burglaries in Rhode Island	r=0.92	38yrs	230
The number of file clerks in Indiana	r=0.91	20yrs	222
Petroluem consumption in Uzbekistan	r=0.91	30yrs	221
Burglaries in Connecticut	r=0.92	38yrs	220
The number of typists in Iowa	r=0.91	20yrs	212
Motor vehicle thefts in Maine	r=0.92	38yrs	210
The number of file clerks in Maryland	r=0.91	20yrs	202
Robberies in Michigan	r=0.92	38yrs	200
The number of switchboard operators in Michigan	r=0.91	20yrs	192
Kerosene used in Bolivia	r=0.9	42yrs	192
Burglaries in Florida	r=0.91	38yrs	188
The number of sewing machine operators in Mississippi	r=0.91	20yrs	182
Kerosene used in Cuba	r=0.9	42yrs	182
The number of counter and rental clerks in New Jersey	r=0.91	20yrs	172
Gasoline pumped in France	r=0.89	43yrs	171
The number of prepress technicians and workers in New York	r=0.91	20yrs	162

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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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