Top variables that correlate with Popularity of the first name Jacinda

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

Variable	Correlation	Years	Sys. Score
Physical album shipment volume in the United States	r=0.96	24yrs	414
The marriage rate in Nevada	r=0.96	23yrs	413
The marriage rate in Alabama	r=0.95	23yrs	412
The marriage rate in Idaho	r=0.95	23yrs	412
Fossil fuel use in Greenland	r=0.91	42yrs	396
Gasoline pumped in Italy	r=0.92	43yrs	396
The number of conveyor operators in Alabama	r=0.98	20yrs	393
The number of postal service machine operators in Kansas	r=0.97	20yrs	392
The number of computer programmers in Michigan	r=0.96	20yrs	392
US average milk-fat content of frozen dairy products	r=0.96	22yrs	389
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.95	22yrs	388
Petroluem consumption in Germany	r=0.92	32yrs	384
Popularity of the 'all your base' meme	r=0.93	17yrs	380
US birth rates of triplets or more	r=0.91	20yrs	380
US milk fat used to produce fluid beverage milk	r=0.92	22yrs	376
xkcd comics published about romance	r=0.91	16yrs	374
Google searches for 'learn spanish'	r=0.91	19yrs	373
Google searches for 'desktop background'	r=0.93	16yrs	373
United States music album sales	r=0.93	16yrs	372
Arson in Idaho	r=0.94	22yrs	366
GMO use in cotton	r=0.94	23yrs	363
AIG's stock price (AIG)	r=0.89	21yrs	360
Arson in Iowa	r=0.9	22yrs	360
Number of edits to the Wikipedia article for Thanksgiving	r=0.89	16yrs	360
The number of file clerks in Arkansas	r=0.96	20yrs	360
Lloyds Banking Group's stock price (LYG)	r=0.88	21yrs	359
Citigroup's stock price (C)	r=0.87	21yrs	358
US household spending on clothin for women	r=0.93	23yrs	358
US household spending on clothing	r=0.92	23yrs	357
Carjackings in the US	r=0.9	27yrs	356
US household spending on clothing for men	r=0.91	23yrs	356
US household spending on books	r=0.9	23yrs	354
Gasoline pumped in Slovenia	r=0.92	31yrs	354
The divorce rate in Alabama	r=0.95	23yrs	353
The number of postal service machine operators in California	r=0.96	20yrs	350
Google searches for 'report UFO sighting'	r=0.87	19yrs	343
The marriage rate in Wyoming	r=0.95	23yrs	342
Gasoline pumped in Germany	r=0.9	32yrs	342
Cigarette Smoking Rate for US adults	r=0.89	21yrs	340
GMO use in corn grown in South Dakota	r=0.9	23yrs	340
GMO use in corn grown in Texas	r=0.93	18yrs	340
The number of data entry keyers in Connecticut	r=0.96	20yrs	340
The divorce rate in Kentucky	r=0.94	23yrs	332
Gasoline pumped in Lithuania	r=0.91	31yrs	332
The number of postal service machine operators in Iowa	r=0.96	20yrs	330
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.95	22yrs	328
The divorce rate in North Carolina	r=0.94	23yrs	322
The number of data entry keyers in Kentucky	r=0.96	20yrs	320
Liquefied petroleum gas used in Greenland	r=0.95	22yrs	319
Arson in Missouri	r=0.89	38yrs	315
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.92	22yrs	313
The number of file clerks in Massachusetts	r=0.96	20yrs	310
The marriage rate in Arkansas	r=0.94	23yrs	310
Geothermal power generated in Austria	r=0.94	17yrs	306
Robberies in Hawaii	r=0.89	38yrs	305
US average milk-fat content of cottage cheese	r=0.91	22yrs	302
The divorce rate in Tennessee	r=0.93	23yrs	300
The number of carpenters in Mississippi	r=0.96	20yrs	300
Robberies in Arizona	r=0.89	38yrs	295
The number of postal service machine operators in Nebraska	r=0.96	20yrs	290
The marriage rate in South Dakota	r=0.93	23yrs	288
Arson in Rhode Island	r=0.88	38yrs	284
Fossil fuel use in Denmark	r=0.88	42yrs	282
The number of conveyor operators in New Jersey	r=0.96	20yrs	280
The marriage rate in Tennessee	r=0.93	23yrs	278
Motor vehicle thefts in Georgia	r=0.88	38yrs	274
Petroluem consumption in Italy	r=0.86	48yrs	272
The number of postal service machine operators in North Dakota	r=0.96	20yrs	270
The divorce rate in Mississippi	r=0.92	23yrs	268
Motor vehicle thefts in Louisiana	r=0.88	38yrs	264
Kerosene used in Japan	r=0.89	43yrs	261
The number of postal service machine operators in Ohio	r=0.96	20yrs	260
The marriage rate in Virginia	r=0.92	23yrs	257
Arson in North Carolina	r=0.87	38yrs	252
Gasoline pumped in United Kingdom	r=0.89	43yrs	251
The number of postal service machine operators in Oklahoma	r=0.96	20yrs	250
The divorce rate in Florida	r=0.91	23yrs	247
Arson in Pennsylvania	r=0.87	38yrs	242
Electricity generation in U.S. Virgin Islands	r=0.87	42yrs	240
The number of library assistants in Oregon	r=0.96	20yrs	240
The divorce rate in New Hampshire	r=0.91	23yrs	237
Robberies in Tennessee	r=0.87	38yrs	232
Fossil fuel use in U.S. Virgin Islands	r=0.87	42yrs	230
The number of postal service machine operators in Oregon	r=0.96	20yrs	230
The marriage rate in Kentucky	r=0.91	23yrs	226
Robberies in Virginia	r=0.87	38yrs	222
Petroluem consumption in Japan	r=0.85	48yrs	220
The number of typists in Pennsylvania	r=0.96	20yrs	220
The marriage rate in Ohio	r=0.9	23yrs	214
Kerosene used in Philippines	r=0.89	42yrs	210
Motor vehicle thefts in Tennessee	r=0.86	38yrs	210
The number of brickmasons in South Carolina	r=0.96	20yrs	210
The marriage rate in South Carolina	r=0.9	23yrs	204
Motor vehicle thefts in Indiana	r=0.86	38yrs	200
The number of postal service machine operators in Texas	r=0.96	20yrs	200
Gasoline pumped in Norway	r=0.87	43yrs	198
Gasoline pumped in Spain	r=0.85	43yrs	185
Kerosene used in Belgium	r=0.85	39yrs	171
The divorce rate in Ohio	r=0.9	23yrs	166
Kerosene used in Central African Republic	r=0.86	35yrs	158
The divorce rate in Oregon	r=0.9	23yrs	156

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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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