Top variables that correlate with Popularity of the first name Mikel

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

Variable	Correlation	Years	Sys. Score
The marriage rate in Alaska	r=0.94	23yrs	380
The divorce rate in Texas	r=0.92	23yrs	378
The divorce rate in Arkansas	r=0.91	23yrs	377
Google searches for 'oprah winfrey'	r=0.91	19yrs	373
United States music album sales	r=0.92	16yrs	370
HSBC Holdings' stock price (HSBC)	r=0.89	21yrs	360
US household spending on postage and stationery	r=0.94	23yrs	360
The number of file clerks in New York	r=0.95	20yrs	358
The number of procurement clerks in Alabama	r=0.94	20yrs	357
The number of recreational therapists in Connecticut	r=0.94	20yrs	357
US household spending on clothin for women	r=0.92	23yrs	357
US household spending on fresh milk and cream	r=0.91	23yrs	356
Gasoline pumped in Finland	r=0.86	43yrs	356
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	353
Nuclear power generation in Germany	r=0.88	31yrs	350
The divorce rate in Michigan	r=0.9	23yrs	346
US birth rates of triplets or more	r=0.88	20yrs	346
U.S. intercountry adoptions	r=0.89	23yrs	342
US production of fluid beverage milk	r=0.89	22yrs	342
Google searches for 'panama canal'	r=0.9	19yrs	342
Cigarette Smoking Rate for US adults	r=0.89	21yrs	340
Google searches for 'shook'	r=0.88	19yrs	338
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.87	22yrs	337
GMO use in corn grown in Texas	r=0.91	18yrs	336
Burglaries in Puerto Rico	r=0.88	24yrs	330
The number of computer programmers in Florida	r=0.93	20yrs	327
US household spending on clothing	r=0.9	23yrs	324
Arson in Idaho	r=0.86	22yrs	324
Arson in Iowa	r=0.86	22yrs	324
GMO use in cotton	r=0.86	23yrs	321
US household spending on mortgage interest and charges	r=0.88	23yrs	321
US household spending on clothing for men	r=0.86	23yrs	318
The number of file clerks in Florida	r=0.94	20yrs	317
The number of file clerks in Oregon	r=0.94	20yrs	307
Google searches for 'desktop background'	r=0.89	16yrs	307
The divorce rate in Kentucky	r=0.9	23yrs	306
GMO use in cotton in Texas	r=0.89	23yrs	306
The number of computer programmers in Tennessee	r=0.93	20yrs	297
Google searches for 'Panama Canal'	r=0.87	19yrs	297
The divorce rate in Wisconsin	r=0.9	23yrs	296
US average milk-fat content of cottage cheese	r=0.9	22yrs	290
The number of meter readers, utilities in Tennessee	r=0.94	20yrs	287
The divorce rate in Idaho	r=0.89	23yrs	284
Google searches for 'learn spanish'	r=0.85	19yrs	284
The number of bill collectors in Washington	r=0.93	20yrs	277
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	22yrs	277
The divorce rate in Maine	r=0.89	23yrs	274
GMO use in corn grown in North Dakota	r=0.88	18yrs	272
The number of boiler operators in Wisconsin	r=0.94	20yrs	267
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.87	22yrs	266
The marriage rate in Louisiana	r=0.89	23yrs	262
GMO use in corn grown in Texas	r=0.86	18yrs	259
The number of bill collectors in Illinois	r=0.92	20yrs	256
The divorce rate in Colorado	r=0.88	23yrs	252
US average milk-fat content of frozen dairy products	r=0.85	22yrs	252
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.85	21yrs	250
Gasoline pumped in Switzerland	r=0.85	43yrs	250
Asthma attacks in American children	r=0.8	23yrs	248
BP's stock price (BP)	r=0.82	21yrs	248
The number of cooks, institution and cafeteria in Louisiana	r=0.93	20yrs	246
The divorce rate in Vermont	r=0.88	23yrs	242
The number of telemarketers in Massachusetts	r=0.92	20yrs	236
Google searches for 'report UFO sighting'	r=0.84	19yrs	234
The divorce rate in Virginia	r=0.88	23yrs	232
Viewership count of American Idol Season Finale	r=0.83	21yrs	231
Physical album shipment volume in the United States	r=0.84	24yrs	231
US Tobacco Production	r=0.82	23yrs	227
The number of bill collectors in Massachusetts	r=0.92	20yrs	226
The divorce rate in Washington	r=0.88	23yrs	222
The number of receptionists in Minnesota	r=0.92	20yrs	216
The divorce rate in Wyoming	r=0.88	23yrs	212
Kerosene used in India	r=0.8	42yrs	212
The number of data entry keyers in Minnesota	r=0.93	20yrs	206
The marriage rate in Nebraska	r=0.88	23yrs	201
Gasoline pumped in Sweden	r=0.79	43yrs	201
Burglaries in North Carolina	r=0.81	38yrs	198
The number of bill collectors in Montana	r=0.92	20yrs	196
The marriage rate in Oregon	r=0.88	23yrs	191
Kerosene used in Bangladesh	r=0.79	42yrs	190
The number of switchboard operators in Nevada	r=0.93	20yrs	186
The divorce rate in Florida	r=0.87	23yrs	181
Petroluem consumption in Japan	r=0.74	48yrs	178
The number of computer programmers in New York	r=0.92	20yrs	176
The divorce rate in New Hampshire	r=0.87	23yrs	171
Google searches for 'black holes'	r=0.84	19yrs	168
The number of telemarketers in New York	r=0.92	20yrs	166
Electricity generation in U.S. Virgin Islands	r=0.74	42yrs	166
The divorce rate in Oregon	r=0.87	23yrs	161
Fossil fuel use in U.S. Virgin Islands	r=0.74	42yrs	156
The marriage rate in Hawaii	r=0.87	23yrs	150
Kerosene used in Montserrat	r=0.81	35yrs	146
Gasoline pumped in Denmark	r=0.75	43yrs	135
Gasoline pumped in Norway	r=0.74	43yrs	124
Kerosene used in Indonesia	r=0.73	42yrs	111
Kerosene used in Tunisia	r=0.73	42yrs	101
Petroluem consumption in American Samoa	r=0.72	42yrs	90
Kerosene used in Japan	r=0.72	43yrs	80
Gasoline pumped in Italy	r=0.7	43yrs	68
Gasoline pumped in Latvia	r=0.78	31yrs	58
Gasoline pumped in Slovenia	r=0.78	31yrs	48
Gasoline pumped in Spain	r=0.7	43yrs	38

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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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