Top variables that correlate with Popularity of the first name Sonja

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

Variable	Correlation	Years	Has img?
Kerosene used in Mexico	r=0.97	40yrs	No
Kerosene used in Turkiye	r=0.97	43yrs	No
Milk consumption	r=0.88	32yrs	No

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

Variable	Correlation	Years	Sys. Score
Petroluem consumption in Bulgaria	r=0.95	42yrs	429
Average number of milk cows in the United States	r=0.91	43yrs	418
Burglaries in Washington	r=0.97	38yrs	417
Burglaries in Oregon	r=0.96	38yrs	416
Burglaries in Texas	r=0.96	38yrs	416
The number of library assistants in Ohio	r=0.96	20yrs	390
Burglaries in Colorado	r=0.96	38yrs	386
Burglaries in Oklahoma	r=0.95	38yrs	374
Cottage cheese consumption	r=0.91	32yrs	372
Gasoline pumped in Bulgaria	r=0.95	42yrs	369
Air pollution in Los Angeles	r=0.92	43yrs	363
Air pollution in San Diego, California	r=0.94	43yrs	363
Remaining Forest Cover in the Brazilian Amazon	r=0.89	36yrs	362
Air pollution in New York City	r=0.91	43yrs	362
The number of bill collectors in Connecticut	r=0.95	20yrs	360
The number of human resources assistants in Alabama	r=0.94	20yrs	357
Kerosene used in Ecuador	r=0.92	42yrs	354
Burglary rates in the US	r=0.93	38yrs	351
The distance between Neptune and Mercury	r=0.88	48yrs	348
The divorce rate in Delaware	r=0.9	23yrs	346
Kerosene used in Portugal	r=0.91	43yrs	344
The distance between Neptune and Earth	r=0.86	48yrs	344
The distance between Neptune and the moon	r=0.86	48yrs	344
The divorce rate in Colorado	r=0.89	23yrs	344
US production of fluid beverage milk	r=0.9	22yrs	343
US birth rates of triplets or more	r=0.85	20yrs	341
The divorce rate in Arkansas	r=0.87	23yrs	341
Cigarette Smoking Rate for US adults	r=0.88	21yrs	339
Google searches for 'oprah winfrey'	r=0.86	19yrs	336
The wind speed in Austin	r=0.86	39yrs	336
Gasoline pumped in Somalia	r=0.92	42yrs	334
Google searches for 'xbox'	r=0.85	19yrs	334
Air pollution in Los Angeles	r=0.9	43yrs	330
The number of middle school special education teachers in Connecticut	r=0.94	20yrs	327
Burglaries in Michigan	r=0.95	38yrs	324
Petroluem consumption in Romania	r=0.91	42yrs	323
Bachelor's degrees awarded in literature	r=0.95	10yrs	322
Air pollution in Manchester, New Hampshire	r=0.91	43yrs	318
The number of bill collectors in New York	r=0.93	20yrs	317
Kerosene used in Romania	r=0.91	42yrs	313
The distance between Neptune and the Sun	r=0.85	48yrs	313
Burglaries in California	r=0.94	38yrs	312
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.9	22yrs	312
The divorce rate in Idaho	r=0.86	23yrs	310
Air pollution in Oxnard, California	r=0.92	41yrs	308
The number of bill collectors in Oregon	r=0.93	20yrs	307
Kerosene used in Venezuela	r=0.91	42yrs	303
Arson in New York	r=0.93	38yrs	301
The divorce rate in Kentucky	r=0.86	23yrs	300
The number of file clerks in Oregon	r=0.94	20yrs	297
Air pollution in San Diego, California	r=0.9	43yrs	297
Kerosene used in Uruguay	r=0.9	42yrs	292
Burglaries in New Mexico	r=0.93	38yrs	291
The divorce rate in Virginia	r=0.86	23yrs	290
The number of receptionists in Puerto Rico	r=0.93	20yrs	287
Burglaries in New York	r=0.93	38yrs	281
The divorce rate in Maine	r=0.85	23yrs	278
The number of computer programmers in Florida	r=0.92	20yrs	276
Burglaries in Rhode Island	r=0.93	38yrs	271
The divorce rate in New Hampshire	r=0.85	23yrs	268
The number of university fitness studies teachers in Florida	r=0.93	20yrs	266
Robberies in Michigan	r=0.93	38yrs	261
The divorce rate in Washington	r=0.85	23yrs	258
Air pollution in Spokane, Washington	r=0.9	43yrs	257
The number of bill collectors in Hawaii	r=0.92	20yrs	256
Viewership count for Days of Our Lives	r=0.82	47yrs	256
Kerosene used in Bolivia	r=0.9	42yrs	252
Highest Nielsen rating for a TV show each year	r=0.83	46yrs	252
Robberies in Oregon	r=0.93	38yrs	251
The number of computer programmers in Illinois	r=0.92	20yrs	246
The divorce rate in Oklahoma	r=0.87	18yrs	246
Air pollution in Medford, Oregon	r=0.88	43yrs	244
Kerosene used in Norway	r=0.89	43yrs	241
Burglaries in Florida	r=0.92	38yrs	240
The number of human resources assistants in Massachusetts	r=0.93	20yrs	236
Air pollution in New York City	r=0.86	43yrs	234
Burglaries in Connecticut	r=0.92	38yrs	230
Kerosene used in United States	r=0.88	43yrs	230
The number of telemarketers in Nebraska	r=0.92	20yrs	226
Air pollution in Norwich, Connecticut	r=0.88	42yrs	223
Burglaries in Iowa	r=0.91	38yrs	218
Kerosene used in Hong Kong	r=0.88	42yrs	218
The number of bill collectors in Alabama	r=0.91	20yrs	214
Air pollution in New York City	r=0.85	43yrs	212
Burglaries in Minnesota	r=0.91	38yrs	208
Kerosene used in Argentina	r=0.86	42yrs	206
The number of bill collectors in Illinois	r=0.91	20yrs	204
Air pollution in Oxnard, California	r=0.87	43yrs	202
Burglaries in Montana	r=0.91	38yrs	198
Kerosene used in Brazil	r=0.86	42yrs	196
The number of human resources assistants in Indiana	r=0.92	20yrs	194
Burglaries in Nevada	r=0.91	38yrs	188
Gasoline pumped in Cuba	r=0.86	42yrs	186
The number of CEOs in Michigan	r=0.91	20yrs	184
Kerosene used in Cuba	r=0.86	42yrs	176
The number of bill collectors in Mississippi	r=0.91	20yrs	174
Kerosene used in Italy	r=0.85	43yrs	165
The number of bill collectors in Ohio	r=0.91	20yrs	164

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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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