Top variables that correlate with Popularity of the first name Corrina

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Philippines	r=0.91	42yrs	393
Carjackings in the US	r=0.94	27yrs	392
The marriage rate in South Carolina	r=0.92	23yrs	377
The marriage rate in Kentucky	r=0.91	23yrs	376
The marriage rate in Nevada	r=0.91	23yrs	376
Arson in Nebraska	r=0.9	38yrs	376
Customer satisfaction with Frontier Communications	r=0.89	28yrs	369
US household spending on clothing	r=0.92	23yrs	357
US household spending on clothing for men	r=0.92	23yrs	357
Gasoline pumped in Italy	r=0.86	43yrs	356
The number of human resources assistants in Massachusetts	r=0.92	20yrs	354
The number of switchboard operators in Missouri	r=0.91	20yrs	352
US average milk-fat content of frozen dairy products	r=0.9	22yrs	350
Petroluem consumption in Germany	r=0.88	32yrs	348
The marriage rate in Ohio	r=0.91	23yrs	346
Arson in Pennsylvania	r=0.89	38yrs	345
Ticket sales for Arizona Diamondbacks games	r=0.89	22yrs	343
US birth rates of triplets or more	r=0.86	20yrs	342
Physical album shipment volume in the United States	r=0.87	24yrs	340
The divorce rate in New Hampshire	r=0.9	23yrs	336
Cigarette Smoking Rate for US adults	r=0.85	21yrs	334
The divorce rate in Tennessee	r=0.9	23yrs	326
US household spending on clothin for women	r=0.9	23yrs	324
The number of telemarketers in Kansas	r=0.9	20yrs	322
US household spending on books	r=0.89	23yrs	322
US household spending on shoes	r=0.87	23yrs	320
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.88	22yrs	317
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.88	22yrs	317
The marriage rate in Tennessee	r=0.9	23yrs	314
Gasoline pumped in Eritrea	r=0.88	28yrs	314
Air pollution in Wabash, Indiana	r=0.88	33yrs	314
Air pollution in Michigan City, Indiana	r=0.86	33yrs	311
Arson in Rhode Island	r=0.86	38yrs	310
Air pollution in Wabash, Indiana	r=0.85	33yrs	310
Gasoline pumped in Germany	r=0.85	32yrs	304
Gasoline pumped in North Macedonia	r=0.86	30yrs	294
The number of switchboard operators in Colorado	r=0.9	20yrs	291
Jet fuel used in Saint Vincent/Grenadines	r=0.89	24yrs	282
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.85	22yrs	282
The number of bill collectors in Illinois	r=0.88	20yrs	280
Air pollution in Washington Court House, Ohio	r=0.85	33yrs	280
Robberies in Puerto Rico	r=0.87	24yrs	278
The marriage rate in North Carolina	r=0.89	23yrs	272
The number of human resources assistants in Indiana	r=0.89	20yrs	270
Air pollution in Washington Court House, Ohio	r=0.87	28yrs	268
Arson in Idaho	r=0.86	22yrs	264
The marriage rate in Arizona	r=0.88	23yrs	261
The number of boiler operators in Indiana	r=0.89	20yrs	260
NASA's budget as a percentage of the total US Federal Budget	r=0.82	48yrs	258
Customer satisfaction with Verizon	r=0.85	28yrs	258
The marriage rate in Arkansas	r=0.88	23yrs	251
The number of cooks, short order in Michigan	r=0.89	20yrs	250
Customer satisfaction with Walmart	r=0.75	27yrs	242
The marriage rate in Missouri	r=0.88	23yrs	241
The number of switchboard operators in Minnesota	r=0.89	20yrs	240
Remaining Forest Cover in the Brazilian Amazon	r=0.78	36yrs	240
Viewership count for Days of Our Lives	r=0.68	47yrs	234
US Tobacco Production	r=0.85	23yrs	232
The marriage rate in Virginia	r=0.88	23yrs	231
Emmy Awards Ceremony viewership	r=0.76	36yrs	231
The number of data entry keyers in Mississippi	r=0.89	20yrs	230
The marriage rate in Alabama	r=0.87	23yrs	220
Violent crime rates	r=0.76	38yrs	220
The number of CEOs in New York	r=0.88	20yrs	220
The marriage rate in Idaho	r=0.87	23yrs	210
The number of upholsterers in Pennsylvania	r=0.89	20yrs	210
The marriage rate in South Dakota	r=0.87	23yrs	200
The number of library technicians in Virginia	r=0.89	20yrs	200
The divorce rate in Alabama	r=0.86	23yrs	190
The number of housekeepers in Wisconsin	r=0.88	20yrs	190
The divorce rate in South Carolina	r=0.86	23yrs	180
The number of millwrights in Wisconsin	r=0.89	20yrs	180
Biomass power generated in Jamaica	r=0.83	42yrs	179
Motor vehicle thefts	r=0.75	38yrs	169
The marriage rate in Minnesota	r=0.86	23yrs	168
The number of file clerks in California	r=0.88	20yrs	168
Fossil fuel use in Greenland	r=0.82	42yrs	168
The marriage rate in Wisconsin	r=0.86	23yrs	158
The number of travel agents in Connecticut	r=0.88	20yrs	158
Petroluem consumption in Italy	r=0.8	48yrs	158
Arson in United States	r=0.72	38yrs	154
The divorce rate in North Carolina	r=0.85	23yrs	148
The number of switchboard operators in Georgia	r=0.88	20yrs	148
Petroluem consumption in Japan	r=0.8	48yrs	148
Robberies in the US	r=0.72	38yrs	144
The number of telemarketers in Iowa	r=0.87	20yrs	138
Kerosene used in Saint Kitts and Nevis	r=0.83	42yrs	136
Arson in North Carolina	r=0.84	38yrs	132
The number of advertising and promotions managers in Michigan	r=0.88	20yrs	128
Gasoline pumped in United Kingdom	r=0.81	43yrs	124
Arson in Utah	r=0.84	38yrs	122
Petroluem consumption in Djibouti	r=0.81	42yrs	113
Motor vehicle thefts in Florida	r=0.84	38yrs	112
Kerosene used in Chile	r=0.8	43yrs	102
Robberies in Hawaii	r=0.84	38yrs	102
Gasoline pumped in Guinea-Bissau	r=0.8	42yrs	92
Motor vehicle thefts in Georgia	r=0.83	38yrs	91
Kerosene used in Jamaica	r=0.8	42yrs	82
Kerosene used in Japan	r=0.79	43yrs	71
Kerosene used in Dominican Republic	r=0.79	42yrs	60
Petroluem consumption in Nauru	r=0.79	42yrs	50

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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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