Top variables that correlate with Popularity of the first name Flor

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

Variable	Correlation	Years	Has img?
Number of edits to the Wikipedia article for Zeus	r=0.64	22yrs	No

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

Variable	Correlation	Years	Sys. Score
Number of edits to the Wikipedia article for Thanksgiving	r=0.97	16yrs	432
Barclays' stock price (BCS)	r=0.92	21yrs	395
The number of CEOs in New Hampshire	r=0.98	20yrs	394
Citigroup's stock price (C)	r=0.9	21yrs	392
The number of air traffic controllers in Kansas	r=0.96	20yrs	392
The number of elementary school teachers in Nevada	r=0.97	20yrs	392
Popularity of the 'all your base' meme	r=0.93	17yrs	380
xkcd comics published about romance	r=0.92	16yrs	376
U.S. intercountry adoptions	r=0.9	23yrs	374
Google searches for 'learn spanish'	r=0.91	19yrs	373
Google searches for 'Britney Spears'	r=0.93	15yrs	372
GMO use in cotton in Alabama	r=0.95	18yrs	370
Petroluem consumption in Serbia	r=0.9	16yrs	366
Lloyds Banking Group's stock price (LYG)	r=0.9	21yrs	362
The number of brickmasons in Arizona	r=0.96	20yrs	360
The number of brickmasons in Illinois	r=0.96	20yrs	350
Nuclear power generation in Germany	r=0.85	31yrs	346
Motor vehicle thefts in Nevada	r=0.88	38yrs	344
Motor vehicle thefts in North Carolina	r=0.88	38yrs	344
US production of cottage cheese	r=0.89	22yrs	342
The number of vending machine repairers in Nevada	r=0.95	20yrs	340
US dairy skim solids used to produce cottage cheese	r=0.89	22yrs	340
GMO use in corn grown in Nebraska	r=0.9	23yrs	340
GMO use in corn grown in Texas	r=0.93	18yrs	340
Google searches for 'snoop dog'	r=0.89	19yrs	340
Sherbet consumption	r=0.86	32yrs	334
The number of survey researchers in Ohio	r=0.96	20yrs	330
UBS Group AG's stock price (UBS)	r=0.89	21yrs	330
The number of tapers in Ohio	r=0.96	20yrs	320
HSBC Holdings' stock price (HSBC)	r=0.88	21yrs	319
Votes for Libertarian Senators in Alabama	r=0.95	6yrs	311
The number of painting, coating, and decorating workers in Virginia	r=0.96	20yrs	310
AIG's stock price (AIG)	r=0.88	21yrs	309
Google searches for 'oprah winfrey'	r=0.86	19yrs	306
The number of carpenters in West Virginia	r=0.96	20yrs	300
Google searches for 't-rex'	r=0.86	19yrs	296
Sumitomo Mitsui Financial Group's stock price (SMFG)	r=0.87	19yrs	294
The number of tapers in Wisconsin	r=0.96	20yrs	290
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.85	21yrs	284
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.86	22yrs	284
The number of compensation and benefits managers in District of Columbia	r=0.97	19yrs	280
GMO use in corn grown in Missouri	r=0.9	23yrs	280
US average milk-fat content of cottage cheese	r=0.86	22yrs	274
The number of compensation and benefits managers in Arizona	r=0.96	19yrs	269
GMO use in corn grown in Indiana	r=0.88	23yrs	267
The number of brickmasons in California	r=0.95	20yrs	258
GMO use in corn	r=0.88	23yrs	257
Google searches for 'Tamagotchi'	r=0.86	15yrs	252
The number of college psychology teachers in District of Columbia	r=0.95	20yrs	248
Gasoline pumped in Denmark	r=0.83	43yrs	247
GMO use in cotton in Arkansas	r=0.9	23yrs	247
The number of loan officers in Maryland	r=0.95	20yrs	238
GMO use in corn grown in Illinois	r=0.87	23yrs	236
Viewership count of American Idol Season Finale	r=0.82	21yrs	230
Motor vehicle thefts in South Carolina	r=0.82	38yrs	230
The number of paper goods machine setters, operators, and tenders in Minnesota	r=0.95	20yrs	228
National Lacrosse Champions' Final Point	r=0.81	25yrs	228
The average age of batters for the San Diego Padres	r=0.67	48yrs	228
The marriage rate in Wyoming	r=0.83	23yrs	228
The divorce rate in Mississippi	r=0.81	23yrs	227
GMO use in corn grown in Iowa	r=0.87	23yrs	226
US Employment Rate	r=0.75	33yrs	226
Physical album shipment volume in the United States	r=0.79	24yrs	224
The marriage rate in Alaska	r=0.79	23yrs	222
The number of painting, coating, and decorating workers in Oklahoma	r=0.95	20yrs	218
Gasoline pumped in Finland	r=0.82	43yrs	216
GMO use in corn grown in Michigan	r=0.87	23yrs	216
Petroluem consumption in Greece	r=0.82	43yrs	206
GMO use in corn grown in Minnesota	r=0.87	23yrs	206
Robberies in North Carolina	r=0.81	38yrs	198
GMO use in corn grown in Wisconsin	r=0.87	23yrs	196
Fossil fuel use in Macau	r=0.78	42yrs	192
The marriage rate in Hawaii	r=0.79	23yrs	192
Motor vehicle thefts in West Virginia	r=0.78	38yrs	184
Kerosene used in Malawi	r=0.8	42yrs	182
The marriage rate in Idaho	r=0.79	23yrs	182
GMO use in cotton in Texas	r=0.86	23yrs	181
The number of surveyors in Arizona	r=0.95	20yrs	178
Robberies in South Carolina	r=0.78	38yrs	174
Gasoline pumped in Portugal	r=0.8	43yrs	172
The divorce rate in Arkansas	r=0.78	23yrs	172
GMO use in cotton in Tennessee	r=0.89	18yrs	170
The number of carpet installers in Arizona	r=0.94	20yrs	168
ING Groep's stock price (ING)	r=0.84	21yrs	168
Google searches for 'black holes'	r=0.84	19yrs	168
Robberies in Alabama	r=0.78	38yrs	164
Petroluem consumption in Syria	r=0.8	42yrs	162
GMO use in cotton in Mississippi	r=0.85	23yrs	160
Weyerhaeuser Company's stock price (WY)	r=0.84	21yrs	158
Kerosene used in Central African Republic	r=0.82	35yrs	148
Banco Bilbao Vizcaya Argentaria's stock price (BBVA)	r=0.81	21yrs	144
Gasoline pumped in Luxembourg	r=0.77	43yrs	138
Kerosene used in Montserrat	r=0.82	35yrs	128
Gasoline pumped in Switzerland	r=0.77	43yrs	118
Liquefied petroleum gas used in Austria	r=0.76	43yrs	106
Kerosene used in Bangladesh	r=0.76	42yrs	96
Petroluem consumption in Portugal	r=0.76	43yrs	86
Gasoline pumped in American Samoa	r=0.75	42yrs	74
Gasoline pumped in Greece	r=0.74	43yrs	64
Kerosene used in India	r=0.75	42yrs	54
Gasoline pumped in Latvia	r=0.82	31yrs	44

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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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