Top variables that correlate with Popularity of the first name Marcela

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

Variable	Correlation	Years	Sys. Score
The number of upholsterers in Kentucky	r=0.96	20yrs	390
Google searches for 'black holes'	r=0.9	19yrs	372
AIG's stock price (AIG)	r=0.9	21yrs	362
Citigroup's stock price (C)	r=0.87	21yrs	358
The number of tapers in Michigan	r=0.95	19yrs	358
The number of cabinetmakers in North Carolina	r=0.95	20yrs	358
Lloyds Banking Group's stock price (LYG)	r=0.86	21yrs	356
US household spending on floor coverings	r=0.91	23yrs	356
Gasoline pumped in Spain	r=0.86	43yrs	356
Physical album shipment volume in the United States	r=0.89	24yrs	344
The marriage rate in Idaho	r=0.9	23yrs	344
Motor vehicle thefts in North Carolina	r=0.88	38yrs	344
The marriage rate in Nevada	r=0.88	23yrs	341
The marriage rate in Wyoming	r=0.88	23yrs	341
US milk fat used to produce fluid beverage milk	r=0.88	22yrs	340
Google searches for 'learn spanish'	r=0.89	19yrs	340
Liquefied petroleum gas used in Greenland	r=0.88	22yrs	338
US milk fat used to produce cottage cheese	r=0.86	22yrs	337
U.S. intercountry adoptions	r=0.85	23yrs	336
The number of prepress technicians and workers in Connecticut	r=0.94	20yrs	327
The number of laundry and dry-cleaning workers in Ohio	r=0.94	20yrs	317
Air pollution in Mason City, Iowa	r=0.85	37yrs	314
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.85	22yrs	312
The number of legislators in Wyoming	r=0.95	17yrs	307
GMO use in corn grown in Iowa	r=0.88	23yrs	307
GMO use in cotton in North Carolina	r=0.89	23yrs	306
GMO use in corn grown in South Dakota	r=0.86	23yrs	304
Air pollution in Hilo, Hawaii	r=0.94	11yrs	301
Air pollution in Hilo, Hawaii	r=0.94	11yrs	301
The number of brickmasons in Alabama	r=0.93	20yrs	296
The number of sheet metal workers in California	r=0.93	20yrs	286
The number of pipelayers in Georgia	r=0.93	20yrs	276
The number of professional painters in Indiana	r=0.93	20yrs	266
GMO use in cotton in Alabama	r=0.85	18yrs	264
The number of prepress technicians and workers in Kansas	r=0.93	20yrs	256
Kerosene used in Indonesia	r=0.84	42yrs	248
The number of typists in Maine	r=0.93	20yrs	246
US Employment Rate	r=0.82	33yrs	237
The number of payroll and timekeeping clerks in Michigan	r=0.93	20yrs	236
Disney movies released	r=0.81	23yrs	233
Motor vehicle thefts in Maryland	r=0.83	38yrs	231
Motor vehicle thefts	r=0.69	38yrs	230
Google searches for 'Panama Canal'	r=0.84	19yrs	228
The number of prepress technicians and workers in Missouri	r=0.93	20yrs	226
Ticket sales for Baltimore Orioles games	r=0.64	45yrs	224
The average age of batters for the Chicago Cubs	r=0.61	48yrs	219
Gasoline pumped in Luxembourg	r=0.84	43yrs	218
The number of postal service clerks in Rhode Island	r=0.93	20yrs	216
Gasoline pumped in Denmark	r=0.83	43yrs	207
The number of carpenters in Wisconsin	r=0.93	20yrs	206
The divorce rate in Alabama	r=0.85	23yrs	203
Motor vehicle thefts in South Carolina	r=0.82	38yrs	200
The number of carpet installers in Wisconsin	r=0.92	20yrs	196
Gasoline pumped in Switzerland	r=0.82	43yrs	196
Ice cream consumption	r=0.84	32yrs	196
The marriage rate in Virginia	r=0.84	23yrs	190
US production of cottage cheese	r=0.82	22yrs	186
Motor vehicle thefts in Nevada	r=0.79	38yrs	185
The number of sewing machine operators in Alabama	r=0.92	20yrs	184
Kerosene used in Tunisia	r=0.82	42yrs	184
The divorce rate in North Carolina	r=0.83	23yrs	180
Motor vehicle thefts in Virginia	r=0.79	38yrs	175
The number of surveyors in Delaware	r=0.92	20yrs	174
US dairy skim solids used to produce cottage cheese	r=0.81	22yrs	173
Electricity generation in U.S. Virgin Islands	r=0.78	42yrs	172
The divorce rate in Utah	r=0.81	23yrs	167
Motor vehicle thefts in West Virginia	r=0.79	38yrs	165
The number of postal service machine operators in Massachusetts	r=0.92	20yrs	164
Kerosene used in Central African Republic	r=0.85	35yrs	162
Sherbet consumption	r=0.8	32yrs	160
The marriage rate in Alabama	r=0.81	23yrs	156
Robberies in North Carolina	r=0.79	38yrs	155
Kerosene used in Vietnam	r=0.8	42yrs	152
The marriage rate in Kentucky	r=0.81	23yrs	146
Motor vehicle thefts in Mississippi	r=0.78	38yrs	144
Gasoline pumped in Italy	r=0.79	43yrs	141
The divorce rate in Iowa	r=0.8	23yrs	136
Motor vehicle thefts in Ohio	r=0.78	38yrs	134
Fossil fuel use in U.S. Virgin Islands	r=0.77	42yrs	130
The divorce rate in Kentucky	r=0.8	23yrs	126
Motor vehicle thefts in Georgia	r=0.77	38yrs	122
Gasoline pumped in Finland	r=0.78	43yrs	120
The marriage rate in Arizona	r=0.8	23yrs	114
Robberies in South Carolina	r=0.77	38yrs	112
Kerosene used in Japan	r=0.78	43yrs	110
The marriage rate in Arkansas	r=0.8	23yrs	104
Gasoline pumped in Portugal	r=0.78	43yrs	100
Motor vehicle thefts in Indiana	r=0.76	38yrs	100
The marriage rate in Florida	r=0.79	23yrs	92
Robberies in Arizona	r=0.76	38yrs	90
Fossil fuel use in Slovakia	r=0.85	29yrs	89
The marriage rate in Tennessee	r=0.79	23yrs	82
Kerosene used in Montserrat	r=0.83	35yrs	79
Arson in Missouri	r=0.75	38yrs	79
The marriage rate in Utah	r=0.79	23yrs	72
Nuclear power generation in Germany	r=0.83	31yrs	68
Motor vehicle thefts in Louisiana	r=0.74	38yrs	68
Kerosene used in Nepal	r=0.77	42yrs	57
Motor vehicle thefts in Idaho	r=0.73	38yrs	56
Petroluem consumption in Japan	r=0.72	48yrs	46
Robberies in Pennsylvania	r=0.73	38yrs	46

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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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