Top variables that correlate with Popularity of the first name Shaniqua

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

Variable	Correlation	Years	Has img?
The number of shoe and leather workers and repairers in Maine	r=0.86	8yrs	Yes!
Ford Motor Company's stock price (F)	r=0.68	9yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
Petroluem consumption in Belarus	r=0.98	19yrs	410
Petroluem consumption in Ukraine	r=0.97	19yrs	409
Gasoline pumped in Belarus	r=0.96	19yrs	408
The marriage rate in Mississippi	r=0.96	12yrs	402
The divorce rate in Tennessee	r=0.95	12yrs	402
The number of housekeepers in Georgia	r=0.99	8yrs	384
Petroluem consumption in Moldova	r=0.96	19yrs	378
Carjackings in the US	r=0.92	16yrs	378
The divorce rate in New Hampshire	r=0.95	12yrs	372
Air pollution in Hilton Head Island, South Carolina	r=0.97	10yrs	364
Cottage cheese consumption	r=0.92	21yrs	362
Customer satisfaction with Verizon	r=0.87	17yrs	355
The number of hosts and hostesses in restaurants in Hawaii	r=0.97	8yrs	350
The number of ticket agents in New Hampshire	r=0.97	8yrs	350
The marriage rate in Missouri	r=0.95	12yrs	340
Air pollution in Los Alamos, New Mexico	r=0.92	21yrs	338
Kerosene used in French Polynesia	r=0.93	21yrs	335
Robberies in Texas	r=0.88	26yrs	332
The divorce rate in Maine	r=0.94	12yrs	330
Evaporated and condensed milk consumption	r=0.89	21yrs	328
Burglaries in North Carolina	r=0.86	26yrs	328
Milk consumption	r=0.86	21yrs	325
Jet fuel used in Ukraine	r=0.94	19yrs	324
The divorce rate in Washington	r=0.94	12yrs	320
The number of insurance underwriters in North Dakota	r=0.97	8yrs	320
US household spending on beef	r=0.93	11yrs	316
US household spending on books	r=0.92	11yrs	315
The number of prepress technicians and workers in Utah	r=0.97	8yrs	310
The marriage rate in Kentucky	r=0.94	12yrs	309
The wind speed in Los Angeles	r=0.95	9yrs	299
The marriage rate in Ohio	r=0.93	12yrs	298
Robberies in Illinois	r=0.86	26yrs	298
Google searches for 'matt parker'	r=0.91	7yrs	296
US household spending on used cars	r=0.91	11yrs	294
Per capita consumption of margarine	r=0.91	10yrs	290
Robberies in Kansas	r=0.85	26yrs	287
US average milk-fat content of frozen dairy products	r=0.93	11yrs	284
Google searches for 'fbi hotline'	r=0.88	7yrs	284
Marsh & McLennan Companies' stock price (MMC)	r=0.87	9yrs	280
Electricity generation in Ukraine	r=0.89	19yrs	280
The number of computer programmers in California	r=0.96	8yrs	280
The number of telemarketers in Iowa	r=0.96	8yrs	270
Fossil fuel use in Moldova	r=0.87	19yrs	267
The marriage rate in Nevada	r=0.93	12yrs	258
The number of industrial production managers in Arizona	r=0.96	8yrs	258
Petroluem consumption in Kazakhstan	r=0.89	19yrs	257
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.9	11yrs	249
The divorce rate in Vermont	r=0.92	12yrs	248
The number of file clerks in Connecticut	r=0.96	8yrs	248
Kerosene used in Kazakhstan	r=0.88	19yrs	246
The number of materials engineers in Massachusetts	r=0.96	8yrs	238
The marriage rate in Arizona	r=0.92	12yrs	236
Petroluem consumption in Latvia	r=0.88	19yrs	236
NASA's budget appropriation	r=0.71	36yrs	230
The number of chemists in New Mexico	r=0.96	8yrs	228
The divorce rate in Alabama	r=0.91	12yrs	226
Liquefied petroleum gas used in Belarus	r=0.86	19yrs	222
The number of sheet metal workers in Wisconsin	r=0.96	8yrs	218
Customer satisfaction with Delta Airlines	r=0.84	17yrs	216
The divorce rate in South Carolina	r=0.91	12yrs	216
Customer satisfaction with Walmart	r=0.83	17yrs	214
Jet fuel used in Kazakhstan	r=0.86	19yrs	212
Customer satisfaction with United Airlines	r=0.81	17yrs	211
Customer satisfaction with Frontier Communications	r=0.81	17yrs	211
The number of airfield operations specialists in Indiana	r=0.96	7yrs	207
The divorce rate in Virginia	r=0.91	12yrs	206
Violent crime rates	r=0.81	26yrs	206
Gasoline pumped in Latvia	r=0.86	19yrs	202
The number of cooks, short order in New Mexico	r=0.95	8yrs	196
The marriage rate in Alabama	r=0.91	12yrs	194
Petroluem consumption in Azerbaijan	r=0.85	19yrs	191
The marriage rate in Michigan	r=0.91	12yrs	184
Jet fuel used in Eritrea	r=0.86	17yrs	180
Robberies in the US	r=0.82	26yrs	178
The marriage rate in North Carolina	r=0.91	12yrs	174
The marriage rate in Tennessee	r=0.91	12yrs	164
The number of garbage collectors in Alaska	r=0.95	8yrs	158
Motor vehicle thefts	r=0.75	26yrs	157
The divorce rate in Illinois	r=0.9	12yrs	154
The number of zoologists in Virginia	r=0.95	8yrs	148
The marriage rate in South Carolina	r=0.9	12yrs	143
Motor vehicle thefts in Wisconsin	r=0.84	26yrs	140
The number of computer programmers in Georgia	r=0.94	8yrs	136
Robberies in Missouri	r=0.84	26yrs	130
The number of automotive glass installers and repairers in North Carolina	r=0.95	8yrs	126
The number of meter readers, utilities in Texas	r=0.95	8yrs	116
Motor vehicle thefts in New York	r=0.81	26yrs	116
The number of telemarketers in Virginia	r=0.94	8yrs	106
Robberies in California	r=0.81	26yrs	106
Robberies in Connecticut	r=0.81	26yrs	96
Robberies in Connecticut	r=0.81	26yrs	86
Motor vehicle thefts in Texas	r=0.79	26yrs	73
Jet fuel used in Eswatini	r=0.78	31yrs	68
Motor vehicle thefts in Texas	r=0.79	26yrs	63
Liquefied petroleum gas used in Kyrgyzstan	r=0.84	19yrs	54
Motor vehicle thefts in Texas	r=0.79	26yrs	53
Jet fuel used in Romania	r=0.82	22yrs	44
Robberies in Ohio	r=0.79	26yrs	43
Petroluem consumption in Russia	r=0.83	19yrs	33
Arson in Arkansas	r=0.78	26yrs	32
Robberies in Georgia	r=0.78	26yrs	22

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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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