Top variables that correlate with Popularity of the first name Hillary

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

Variable	Correlation	Years	Has img?
Popularity of the 'harambe' meme	r=0.98	7yrs	No
The number of tax examiners and collectors, and revenue agents in Oregon	r=0.96	13yrs	No
The number of dental laboratory technicians in New Jersey	r=0.95	20yrs	No
Kerosene used in French Polynesia	r=0.92	32yrs	No
Votes for Republican Senators in California	r=0.89	13yrs	No
The wind speed in San Diego	r=0.88	39yrs	No
Motor vehicle thefts in New York	r=0.88	38yrs	No
Jet fuel used in French Polynesia	r=0.87	42yrs	No

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

Variable	Correlation	Years	Sys. Score
The number of special education teachers in Pennsylvania	r=0.97	11yrs	382
Petroluem consumption in Ukraine	r=0.9	30yrs	380
Petroluem consumption in Belarus	r=0.9	30yrs	380
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.9	21yrs	362
Nokia Oyj's stock price (NOK)	r=0.87	21yrs	358
The number of labor relations specialists in Arkansas	r=0.96	11yrs	351
Robberies in New York	r=0.88	38yrs	344
Motor vehicle thefts in Texas	r=0.87	38yrs	342
The marriage rate in Alaska	r=0.87	23yrs	340
Google searches for 'desktop background'	r=0.88	16yrs	336
Evaporated and condensed milk consumption	r=0.87	32yrs	336
United States music album sales	r=0.87	16yrs	332
US household spending on fresh milk and cream	r=0.86	23yrs	318
The number of animal control workers in Michigan	r=0.94	20yrs	317
Air pollution in Los Alamos, New Mexico	r=0.89	33yrs	316
US household spending on postage and stationery	r=0.85	23yrs	316
US household spending on mortgage interest and charges	r=0.85	23yrs	316
Petroluem consumption in Saint Pierre and Miquelon	r=0.86	42yrs	316
Motor vehicle thefts in Texas	r=0.87	38yrs	312
The number of bill collectors in Michigan	r=0.93	20yrs	307
Patents granted to Toshiba	r=0.9	12yrs	303
Motor vehicle thefts in Texas	r=0.87	38yrs	302
The number of mechanical drafters in Ohio	r=0.93	20yrs	296
Culinary Associates degrees awarded	r=0.91	11yrs	295
Gasoline pumped in Belarus	r=0.85	30yrs	292
Robberies in California	r=0.86	38yrs	290
The number of mechanical drafters in Wisconsin	r=0.93	20yrs	286
Total views on PBS Space Time YouTube videos	r=0.92	8yrs	283
The number of file clerks in Arizona	r=0.92	20yrs	274
The number of file clerks in Idaho	r=0.92	20yrs	264
Wind power generated in Samoa	r=0.93	8yrs	255
The number of payroll and timekeeping clerks in New Mexico	r=0.92	20yrs	254
HSBC Holdings' stock price (HSBC)	r=0.85	21yrs	250
The number of legislators in Tennessee	r=0.91	20yrs	244
NASA's budget as a percentage of the total US Federal Budget	r=0.66	48yrs	234
Remaining Forest Cover in the Brazilian Amazon	r=0.74	36yrs	234
The number of switchboard operators in Wyoming	r=0.92	20yrs	234
U.S. intercountry adoptions	r=0.85	23yrs	232
Viewership count of American Idol Season Finale	r=0.82	21yrs	230
US production of fluid beverage milk	r=0.83	22yrs	228
The divorce rate in Arkansas	r=0.8	23yrs	226
Cigarette Smoking Rate for US adults	r=0.82	21yrs	225
The divorce rate in Colorado	r=0.79	23yrs	224
US dairy skim solids used to produce milk fat and skim solids byproduct fluid beverage milk	r=0.82	22yrs	224
The number of carpenters in Alabama	r=0.91	20yrs	222
The wind speed in Nashville	r=0.79	39yrs	220
Banco Bilbao Vizcaya Argentaria's stock price (BBVA)	r=0.84	21yrs	218
The wind speed in Milwaukee	r=0.76	39yrs	216
US household spending on natural gas	r=0.85	23yrs	212
The number of cooks, short order in Kentucky	r=0.91	20yrs	212
GMO use in cotton	r=0.82	23yrs	210
Banco Santander's stock price (SAN)	r=0.82	21yrs	205
Violent crime rates	r=0.79	38yrs	205
The number of telemarketers in Nebraska	r=0.9	20yrs	202
Barclays' stock price (BCS)	r=0.81	21yrs	194
The marriage rate in Hawaii	r=0.79	23yrs	192
The number of sales managers in New Mexico	r=0.91	20yrs	192
The wind speed in Austin	r=0.75	39yrs	184
Cottage cheese consumption	r=0.76	32yrs	184
The divorce rate in Mississippi	r=0.78	23yrs	182
The number of authors in Wisconsin	r=0.9	20yrs	182
Robberies in the US	r=0.82	38yrs	180
Kerosene used in Austria	r=0.83	39yrs	173
The number of mobile heavy equipment mechanics in Puerto Rico	r=0.91	20yrs	172
Burglary rates in the US	r=0.79	38yrs	165
Kerosene used in Egypt	r=0.81	42yrs	163
The number of cutters and trimmers, hand in California	r=0.9	20yrs	161
BP's stock price (BP)	r=0.8	21yrs	155
Kerosene used in Argentina	r=0.8	42yrs	152
Arson in United States	r=0.77	38yrs	152
Lloyds Banking Group's stock price (LYG)	r=0.8	21yrs	142
Gasoline pumped in Austria	r=0.8	43yrs	142
Motor vehicle thefts	r=0.76	38yrs	140
NatWest Group's stock price (NWG)	r=0.84	15yrs	132
Kerosene used in Belize	r=0.8	42yrs	132
Arson in New York	r=0.84	38yrs	122
Kerosene used in North Korea	r=0.8	42yrs	122
Vodafone Group's stock price (VOD)	r=0.78	21yrs	119
Burglaries in Massachusetts	r=0.84	38yrs	112
Fossil fuel use in Sierra Leone	r=0.76	42yrs	108
Burglaries in New York	r=0.84	38yrs	102
Petroluem consumption in North Korea	r=0.78	42yrs	98
Burglaries in Connecticut	r=0.84	38yrs	92
Kerosene used in Pakistan	r=0.78	42yrs	88
Motor vehicle thefts in Rhode Island	r=0.84	38yrs	82
Liquefied petroleum gas used in Belarus	r=0.85	30yrs	77
Motor vehicle thefts in New Jersey	r=0.83	38yrs	71
Liquefied petroleum gas used in North Korea	r=0.77	42yrs	67
Robberies in Illinois	r=0.83	38yrs	61
Kerosene used in Venezuela	r=0.77	42yrs	57
Robberies in Connecticut	r=0.83	38yrs	51
Fossil fuel use in Moldova	r=0.82	30yrs	46
Robberies in Connecticut	r=0.83	38yrs	41

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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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