Top variables that correlate with Popularity of the first name Amie

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

Variable	Correlation	Years	Sys. Score
Kerosene used in Turkiye	r=0.96	43yrs	432
Kerosene used in Mexico	r=0.97	40yrs	430
Average number of milk cows in the United States	r=0.92	43yrs	420
Burglaries in Colorado	r=0.98	38yrs	418
Burglaries in Oregon	r=0.96	38yrs	416
Burglaries in Washington	r=0.95	38yrs	414
Kerosene used in Portugal	r=0.93	43yrs	397
Remaining Forest Cover in the Brazilian Amazon	r=0.9	36yrs	393
The number of recreational therapists in Connecticut	r=0.97	20yrs	392
The number of typists in Puerto Rico	r=0.96	20yrs	390
The number of mechanical drafters in Ohio	r=0.95	20yrs	388
US birth rates of triplets or more	r=0.9	20yrs	378
Cottage cheese consumption	r=0.93	32yrs	375
Cigarette Smoking Rate for US adults	r=0.91	21yrs	374
Google searches for 'desktop background'	r=0.94	16yrs	374
United States music album sales	r=0.93	16yrs	372
Petroluem consumption in Bulgaria	r=0.93	42yrs	366
US household spending on fresh milk and cream	r=0.95	23yrs	362
Air pollution in Manchester, New Hampshire	r=0.92	43yrs	360
Air pollution in Norwich, Connecticut	r=0.93	42yrs	360
HSBC Holdings' stock price (HSBC)	r=0.88	21yrs	359
The number of meter readers, utilities in Tennessee	r=0.95	20yrs	358
Deutsche Bank Aktiengesellschaft's stock price (DB)	r=0.87	21yrs	358
Air pollution in Spokane, Washington	r=0.9	43yrs	357
US household spending on postage and stationery	r=0.91	23yrs	356
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.93	22yrs	354
Kerosene used in Bolivia	r=0.91	42yrs	353
Arson in New York	r=0.94	38yrs	352
The distance between Neptune and Mercury	r=0.87	48yrs	346
The number of printing press operators in District of Columbia	r=0.97	13yrs	344
U.S. intercountry adoptions	r=0.9	23yrs	344
The divorce rate in North Carolina	r=0.89	23yrs	344
The divorce rate in Wyoming	r=0.89	23yrs	344
Gasoline pumped in Bulgaria	r=0.91	42yrs	343
Burglaries in California	r=0.94	38yrs	342
Google searches for 'oprah winfrey'	r=0.9	19yrs	342
The divorce rate in Arkansas	r=0.88	23yrs	342
Viewership count of American Idol Season Finale	r=0.86	21yrs	340
GMO use in corn grown in Texas	r=0.93	18yrs	340
xkcd comics published about sarcasm	r=0.88	16yrs	340
Physical album shipment volume in the United States	r=0.85	24yrs	338
Kerosene used in Romania	r=0.91	42yrs	333
The number of executive administrative assistants in Ohio	r=0.95	13yrs	332
Robberies in Oregon	r=0.94	38yrs	332
Kerosene used in U.S. Pacific Islands	r=0.91	42yrs	323
Burglaries in Michigan	r=0.93	38yrs	321
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.9	22yrs	320
Kerosene used in Norway	r=0.9	43yrs	312
The divorce rate in Oregon	r=0.88	23yrs	312
Burglaries in New York	r=0.92	38yrs	310
The divorce rate in Texas	r=0.88	23yrs	302
Burglaries in Oklahoma	r=0.92	38yrs	300
The number of computer programmers in Florida	r=0.95	20yrs	300
Milk consumption	r=0.88	32yrs	299
Gasoline pumped in Latvia	r=0.93	31yrs	295
The marriage rate in Kansas	r=0.88	23yrs	291
Burglaries in Texas	r=0.92	38yrs	290
The number of computer programmers in New York	r=0.95	20yrs	290
The marriage rate in Nebraska	r=0.88	23yrs	281
Robberies in Michigan	r=0.92	38yrs	280
The number of switchboard operators in Arizona	r=0.95	20yrs	278
The divorce rate in Idaho	r=0.87	23yrs	271
Burglaries in Nevada	r=0.91	38yrs	268
The number of postmasters in Connecticut	r=0.95	20yrs	268
Carjackings in the US	r=0.85	27yrs	268
The divorce rate in Kentucky	r=0.87	23yrs	261
Kerosene used in Canada	r=0.88	43yrs	260
Burglaries in Rhode Island	r=0.91	38yrs	258
The number of human resources assistants in District of Columbia	r=0.95	20yrs	258
The divorce rate in Wisconsin	r=0.87	23yrs	251
Kerosene used in Ecuador	r=0.89	42yrs	250
The number of telemarketers in Massachusetts	r=0.94	20yrs	248
Burglaries in Montana	r=0.9	38yrs	246
The marriage rate in Alaska	r=0.87	23yrs	240
Kerosene used in Hong Kong	r=0.89	42yrs	240
The number of data entry keyers in Minnesota	r=0.95	20yrs	238
The marriage rate in Wyoming	r=0.87	23yrs	230
Kerosene used in United States	r=0.88	43yrs	230
The number of postal service machine operators in Montana	r=0.95	20yrs	228
Burglary rates in the US	r=0.89	38yrs	225
The divorce rate in Colorado	r=0.86	23yrs	220
Kerosene used in Uruguay	r=0.89	42yrs	220
The number of telemarketers in New York	r=0.94	20yrs	218
Arson in United States	r=0.87	38yrs	212
The divorce rate in Florida	r=0.86	23yrs	210
The number of postmasters in Oregon	r=0.95	20yrs	208
Kerosene used in Cabo Verde	r=0.87	42yrs	207
The divorce rate in Maine	r=0.86	23yrs	200
The number of file clerks in Pennsylvania	r=0.95	20yrs	198
Petroluem consumption in Hungary	r=0.85	43yrs	195
The divorce rate in Michigan	r=0.86	23yrs	190
The number of computer programmers in Texas	r=0.94	20yrs	188
Petroluem consumption in Romania	r=0.85	42yrs	184
The divorce rate in Mississippi	r=0.86	23yrs	180
The number of postal service machine operators in Vermont	r=0.95	20yrs	178
Arson in Maine	r=0.9	38yrs	176
The number of human resources assistants in Wisconsin	r=0.95	20yrs	168
Arson in Colorado	r=0.9	38yrs	166
Liquefied petroleum gas used in Belarus	r=0.87	30yrs	165
Burglaries in Alaska	r=0.9	38yrs	156
Petroluem consumption in Ukraine	r=0.86	30yrs	154

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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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