Top variables that correlate with Popularity of the first name Antoine

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

Variable	Correlation	Years	Has img?
The number of CEOs in Massachusetts	r=0.98	19yrs	No
Burglaries in Texas	r=0.97	38yrs	No
United States music album sales	r=0.96	16yrs	No
Cottage cheese consumption	r=0.96	32yrs	No
The distance between Neptune and the Sun	r=0.93	48yrs	No
The divorce rate in Arkansas	r=0.92	23yrs	No

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

Variable	Correlation	Years	Sys. Score
Burglaries in Washington	r=0.96	38yrs	416
Burglaries in Colorado	r=0.96	38yrs	416
U.S. intercountry adoptions	r=0.95	23yrs	412
Gasoline pumped in Bulgaria	r=0.95	42yrs	399
Gasoline pumped in Somalia	r=0.95	42yrs	399
Petroluem consumption in Bulgaria	r=0.94	42yrs	398
The number of recreational therapists in Connecticut	r=0.98	20yrs	393
The number of file clerks in Mississippi	r=0.98	20yrs	393
The distance between Neptune and Earth	r=0.93	48yrs	385
The distance between Neptune and Mercury	r=0.93	48yrs	385
Burglaries in Michigan	r=0.95	38yrs	384
Average number of milk cows in the United States	r=0.88	43yrs	384
US birth rates of triplets or more	r=0.91	20yrs	380
The marriage rate in Alaska	r=0.93	23yrs	378
The divorce rate in Kentucky	r=0.92	23yrs	378
GMO use in corn grown in Texas	r=0.97	18yrs	376
Google searches for 'shook'	r=0.93	19yrs	376
Google searches for 'desktop background'	r=0.95	16yrs	376
Cigarette Smoking Rate for US adults	r=0.92	21yrs	375
Burglaries in Oregon	r=0.95	38yrs	374
US production of fluid beverage milk	r=0.91	22yrs	374
Google searches for 'oprah winfrey'	r=0.92	19yrs	374
Viewership count for Days of Our Lives	r=0.87	47yrs	368
Air pollution in New York City	r=0.95	43yrs	368
Kerosene used in Turkiye	r=0.92	43yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
US Motorcycle Manufacturing Industry Revenue	r=0.93	12yrs	364
Air pollution in Los Angeles	r=0.93	43yrs	364
The number of file clerks in New York	r=0.98	20yrs	363
US household spending on postage and stationery	r=0.95	23yrs	362
Remaining Forest Cover in the Brazilian Amazon	r=0.88	36yrs	360
GMO use in cotton	r=0.92	23yrs	360
US household spending on mortgage interest and charges	r=0.94	23yrs	360
HSBC Holdings' stock price (HSBC)	r=0.88	21yrs	359
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.87	21yrs	358
The distance between Neptune and the moon	r=0.93	48yrs	355
Kerosene used in Brazil	r=0.92	42yrs	354
The number of procurement clerks in Alabama	r=0.97	20yrs	352
Burglary rates in the US	r=0.92	38yrs	350
The divorce rate in Mississippi	r=0.91	23yrs	347
Kerosene used in Mexico	r=0.93	40yrs	344
US production of cottage cheese	r=0.91	22yrs	344
The number of switchboard operators in Arizona	r=0.97	20yrs	342
The divorce rate in Virginia	r=0.9	23yrs	336
Petroluem consumption in Romania	r=0.92	42yrs	334
US dairy skim solids used to produce cottage cheese	r=0.91	22yrs	333
Air pollution in New York City	r=0.92	43yrs	333
The number of payroll and timekeeping clerks in Massachusetts	r=0.97	20yrs	332
The marriage rate in Idaho	r=0.9	23yrs	324
Kerosene used in Venezuela	r=0.91	42yrs	323
The number of file clerks in Massachusetts	r=0.97	20yrs	322
Burglaries in Oklahoma	r=0.94	38yrs	322
Milk consumption	r=0.9	32yrs	322
Air pollution in San Diego, California	r=0.93	43yrs	322
The marriage rate in Wyoming	r=0.9	23yrs	314
The number of data entry keyers in Minnesota	r=0.97	20yrs	312
Air pollution in San Diego, California	r=0.93	43yrs	312
Burglaries in California	r=0.93	38yrs	311
Gasoline pumped in Latvia	r=0.95	31yrs	308
The number of computer programmers in New York	r=0.96	20yrs	302
The divorce rate in Oklahoma	r=0.91	18yrs	302
Arson in Arizona	r=0.92	38yrs	300
Air pollution in Oxnard, California	r=0.92	41yrs	298
The number of telemarketers in New York	r=0.96	20yrs	292
Burglaries in Florida	r=0.92	38yrs	290
Air pollution in Oxnard, California	r=0.9	43yrs	287
The number of computer programmers in Oklahoma	r=0.96	20yrs	282
Burglaries in Minnesota	r=0.92	38yrs	280
Gasoline pumped in Kosovo	r=0.92	14yrs	276
The number of telemarketers in Pennsylvania	r=0.96	20yrs	272
Burglaries in New Mexico	r=0.92	38yrs	270
The number of prepress technicians and workers in Texas	r=0.97	20yrs	262
Burglaries in New York	r=0.92	38yrs	260
Gasoline pumped in Cuba	r=0.89	42yrs	260
The number of conveyor operators in Arkansas	r=0.96	20yrs	250
Burglaries in Rhode Island	r=0.92	38yrs	250
Kerosene used in Ecuador	r=0.89	42yrs	250
The number of typists in Delaware	r=0.96	20yrs	240
Robberies in Michigan	r=0.92	38yrs	240
Kerosene used in Cuba	r=0.88	42yrs	238
The number of human resources assistants in District of Columbia	r=0.96	20yrs	230
Arson in New York	r=0.91	38yrs	228
Kerosene used in Egypt	r=0.88	42yrs	228
The number of computer programmers in Florida	r=0.95	20yrs	220
Burglaries in Iowa	r=0.91	38yrs	218
Gasoline pumped in France	r=0.87	43yrs	218
The number of computer programmers in Michigan	r=0.95	20yrs	210
Burglaries in Nevada	r=0.91	38yrs	208
Kerosene used in Hong Kong	r=0.88	42yrs	208
The number of counter and rental clerks in Minnesota	r=0.96	20yrs	200
Burglaries in Virginia	r=0.91	38yrs	198
Kerosene used in Romania	r=0.88	42yrs	198
Burglaries in Connecticut	r=0.91	38yrs	188
Kerosene used in Thailand	r=0.88	42yrs	188
Kerosene used in United States	r=0.87	43yrs	178

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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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