Top variables that correlate with Popularity of the first name Sonya

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

Variable	Correlation	Years	Has img?
The number of data entry keyers in Minnesota	r=0.96	20yrs	No
United States music album sales	r=0.95	16yrs	No
Milk consumption	r=0.94	32yrs	No
The divorce rate in Arkansas	r=0.94	23yrs	No
Cigarette Smoking Rate for US adults	r=0.94	21yrs	No
US birth rates of triplets or more	r=0.93	20yrs	No
Average number of milk cows in the United States	r=0.93	43yrs	No
Burglaries in New York	r=0.92	38yrs	No
Remaining Forest Cover in the Brazilian Amazon	r=0.92	36yrs	No
Air pollution in New York City	r=0.9	43yrs	No

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.97	43yrs	433
Kerosene used in Mexico	r=0.97	40yrs	430
Burglaries in Colorado	r=0.98	38yrs	418
Burglaries in Oregon	r=0.97	38yrs	417
Burglaries in Washington	r=0.97	38yrs	417
The divorce rate in Kentucky	r=0.96	23yrs	414
Petroluem consumption in Bulgaria	r=0.94	42yrs	398
The number of bill collectors in Washington	r=0.96	20yrs	392
The number of file clerks in California	r=0.96	20yrs	390
The number of postmasters in Massachusetts	r=0.96	20yrs	390
Cenovus Energy's stock price (CVE)	r=0.93	13yrs	388
Bachelor's degrees awarded in linguistics	r=0.98	10yrs	386
Associates degrees awarded in Business operations	r=0.97	11yrs	384
Associates degrees awarded in law enforcement	r=0.97	11yrs	384
The divorce rate in Colorado	r=0.93	23yrs	380
US production of fluid beverage milk	r=0.94	22yrs	379
Google searches for 'desktop background'	r=0.93	16yrs	373
Burglary rates in the US	r=0.91	38yrs	368
Kerosene used in Portugal	r=0.93	43yrs	367
Air pollution in Manchester, New Hampshire	r=0.94	43yrs	363
GMO use in cotton	r=0.93	23yrs	362
US household spending on postage and stationery	r=0.94	23yrs	360
Air pollution in Norwich, Connecticut	r=0.93	42yrs	360
Gasoline pumped in Bulgaria	r=0.93	42yrs	356
Bachelor's degrees awarded in literature	r=0.96	10yrs	353
The number of payroll and timekeeping clerks in Mississippi	r=0.96	20yrs	350
The divorce rate in Idaho	r=0.93	23yrs	350
Kerosene used in Romania	r=0.93	42yrs	346
Cottage cheese consumption	r=0.94	32yrs	346
Master's degrees awarded in linguistics	r=0.96	10yrs	343
Burglaries in Michigan	r=0.94	38yrs	342
The number of home appliance repairers in Wisconsin	r=0.96	20yrs	340
The divorce rate in Virginia	r=0.93	23yrs	340
Kerosene used in Bolivia	r=0.92	42yrs	334
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	334
Master's degrees awarded in Liberal arts	r=0.96	10yrs	333
Burglaries in California	r=0.94	38yrs	332
The number of boiler operators in Wisconsin	r=0.96	20yrs	330
The divorce rate in Washington	r=0.93	23yrs	330
Kerosene used in Norway	r=0.91	43yrs	324
Associates degrees awarded in health assistance	r=0.96	11yrs	322
Robberies in Oregon	r=0.94	38yrs	322
The number of data entry keyers in Florida	r=0.95	20yrs	318
The divorce rate in Delaware	r=0.92	23yrs	318
Kerosene used in Ecuador	r=0.91	42yrs	313
Associates degrees awarded in Criminal justice and corrections	r=0.96	11yrs	312
Arson in New York	r=0.93	38yrs	311
The number of data entry keyers in Kansas	r=0.95	20yrs	308
The divorce rate in Maine	r=0.92	23yrs	308
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.95	22yrs	308
Kerosene used in U.S. Pacific Islands	r=0.91	42yrs	303
Associates degrees awarded in Legal professions and studies	r=0.96	11yrs	302
Burglaries in Oklahoma	r=0.93	38yrs	301
The number of file clerks in New York	r=0.95	20yrs	298
The divorce rate in Mississippi	r=0.92	23yrs	298
Associates degrees awarded in Visual and performing arts	r=0.96	11yrs	292
Burglaries in Texas	r=0.93	38yrs	291
The divorce rate in Wisconsin	r=0.92	23yrs	288
The number of secretaries in Montana	r=0.97	13yrs	286
Gasoline pumped in Latvia	r=0.93	31yrs	285
Robberies in Michigan	r=0.93	38yrs	281
The marriage rate in Alabama	r=0.92	23yrs	277
The number of executive administrative assistants in North Dakota	r=0.96	13yrs	273
Burglaries in Nevada	r=0.92	38yrs	270
The divorce rate in Florida	r=0.91	23yrs	267
The number of print binding and finishing workers in Oregon	r=0.96	13yrs	263
Geothermal power generated in Austria	r=0.92	17yrs	262
The divorce rate in Illinois	r=0.91	23yrs	257
The number of executive administrative assistants in Guam	r=0.96	12yrs	252
Burglaries in Minnesota	r=0.91	38yrs	248
The divorce rate in Michigan	r=0.91	23yrs	247
Kerosene used in Uruguay	r=0.9	42yrs	242
The number of computer user support specialists in Alaska	r=0.96	11yrs	241
Burglaries in Montana	r=0.91	38yrs	238
The divorce rate in New Hampshire	r=0.91	23yrs	237
Kerosene used in United States	r=0.89	43yrs	231
The number of special education teachers in Alabama	r=0.95	11yrs	230
Burglaries in New Mexico	r=0.91	38yrs	228
The divorce rate in Texas	r=0.91	23yrs	227
Kerosene used in Hong Kong	r=0.89	42yrs	220
Burglaries in Rhode Island	r=0.91	38yrs	218
The marriage rate in Louisiana	r=0.91	23yrs	216
The divorce rate in North Carolina	r=0.9	23yrs	206
Arson in Arizona	r=0.9	38yrs	206
The number of receptionists in Puerto Rico	r=0.95	20yrs	200
The divorce rate in Wyoming	r=0.9	23yrs	196
The number of bill collectors in Connecticut	r=0.94	20yrs	188
Burglaries in Puerto Rico	r=0.93	24yrs	187
The marriage rate in Alaska	r=0.9	23yrs	184
The number of human resources assistants in District of Columbia	r=0.95	20yrs	178
Arson in Iowa	r=0.94	22yrs	176

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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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