Top variables that correlate with Popularity of the first name Constance

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

Variable	Correlation	Years	Sys. Score
Average number of milk cows in the United States	r=0.91	43yrs	418
Burglaries in Colorado	r=0.97	38yrs	417
Arson in New York	r=0.96	38yrs	416
Burglaries in Oregon	r=0.95	38yrs	414
Gasoline pumped in Somalia	r=0.94	42yrs	398
Kerosene used in Australia	r=0.93	43yrs	397
Petroluem consumption in Bulgaria	r=0.93	42yrs	396
Burglaries in Texas	r=0.95	38yrs	384
Cottage cheese consumption	r=0.91	32yrs	372
Gasoline pumped in Bulgaria	r=0.93	42yrs	366
Air pollution in Los Angeles	r=0.91	43yrs	362
Remaining Forest Cover in the Brazilian Amazon	r=0.88	36yrs	360
Burglary rates in the US	r=0.91	38yrs	358
Air pollution in Norwich, Connecticut	r=0.91	42yrs	358
Air pollution in Oxnard, California	r=0.91	41yrs	356
Kerosene used in Mexico	r=0.93	40yrs	354
The number of postal service machine operators in District of Columbia	r=0.93	19yrs	354
The number of advertising sales agents in Alabama	r=0.91	20yrs	352
The number of postmasters in California	r=0.91	20yrs	352
Kerosene used in Ecuador	r=0.91	42yrs	343
U.S. intercountry adoptions	r=0.87	23yrs	340
The wind speed in Nashville	r=0.89	39yrs	340
US production of cottage cheese	r=0.87	22yrs	338
Google searches for 'learn spanish'	r=0.87	19yrs	337
The wind speed in Austin	r=0.86	39yrs	336
Burglaries in Washington	r=0.95	38yrs	334
Google searches for 'black holes'	r=0.85	19yrs	334
Kerosene used in Venezuela	r=0.91	42yrs	333
Robberies in Oregon	r=0.95	38yrs	324
The number of brickmasons in Colorado	r=0.91	20yrs	322
US household spending on postage and stationery	r=0.88	23yrs	321
Jet fuel used in Ukraine	r=0.93	30yrs	314
Burglaries in New York	r=0.94	38yrs	312
The number of typists in Connecticut	r=0.91	20yrs	312
GMO use in corn grown in Nebraska	r=0.9	23yrs	310
GMO use in corn grown in Minnesota	r=0.89	23yrs	308
US dairy skim solids used to produce cottage cheese	r=0.87	22yrs	307
GMO use in corn	r=0.88	23yrs	307
Burglaries in California	r=0.94	38yrs	302
The number of vending machine repairers in Connecticut	r=0.9	20yrs	302
Petroluem consumption in Ukraine	r=0.91	30yrs	301
Air pollution in Los Angeles	r=0.89	43yrs	298
The number of CEOs in Massachusetts	r=0.9	19yrs	292
Burglaries in Oklahoma	r=0.93	38yrs	291
Gasoline pumped in Latvia	r=0.9	31yrs	290
Air pollution in Manchester, New Hampshire	r=0.89	43yrs	286
The number of file clerks in Massachusetts	r=0.91	20yrs	282
Burglaries in Michigan	r=0.92	38yrs	280
Air pollution in New York City	r=0.87	43yrs	276
GMO use in corn grown in Indiana	r=0.87	23yrs	276
The number of telemarketers in New Jersey	r=0.9	20yrs	272
Burglaries in Rhode Island	r=0.92	38yrs	270
Air pollution in San Diego, California	r=0.89	43yrs	266
GMO use in corn grown in Missouri	r=0.87	23yrs	266
The number of boiler operators in New Jersey	r=0.91	20yrs	262
Burglaries in Connecticut	r=0.92	38yrs	260
Kerosene used in Turkiye	r=0.88	43yrs	260
GMO use in cotton in Texas	r=0.89	23yrs	256
Air pollution in San Diego, California	r=0.88	43yrs	254
The number of kindergarten teachers in New York	r=0.91	20yrs	252
Motor vehicle thefts in Oklahoma	r=0.92	38yrs	250
Viewership count for Days of Our Lives	r=0.78	47yrs	250
Gasoline pumped in Cuba	r=0.88	42yrs	248
AIG's stock price (AIG)	r=0.83	21yrs	246
Lloyds Banking Group's stock price (LYG)	r=0.83	21yrs	246
Citigroup's stock price (C)	r=0.81	21yrs	244
The number of postmasters in North Carolina	r=0.91	20yrs	242
Highest Nielsen rating for a TV show each year	r=0.77	46yrs	242
GMO use in corn grown in Iowa	r=0.85	23yrs	242
Air pollution in Medford, Oregon	r=0.86	43yrs	241
Arson in Colorado	r=0.91	38yrs	238
Kerosene used in Hong Kong	r=0.88	42yrs	238
The distance between Neptune and the Sun	r=0.82	48yrs	234
The distance between Neptune and Earth	r=0.82	48yrs	234
The distance between Neptune and the moon	r=0.82	48yrs	234
US birth rates of triplets or more	r=0.83	20yrs	233
The number of couriers and messengers in Pennsylvania	r=0.91	20yrs	232
GMO use in cotton in North Carolina	r=0.87	23yrs	232
Air pollution in Oxnard, California	r=0.86	43yrs	231
Burglaries in Florida	r=0.91	38yrs	228
Petroluem consumption in Romania	r=0.88	42yrs	228
The number of typists in Pennsylvania	r=0.91	20yrs	222
Air pollution in Riverside, California	r=0.85	43yrs	220
Burglaries in New Mexico	r=0.91	38yrs	218
Kerosene used in Bolivia	r=0.87	42yrs	217
The number of conveyor operators in Alabama	r=0.9	20yrs	211
Motor vehicle thefts in Massachusetts	r=0.91	38yrs	208
Air pollution in Steamboat Springs, Colorado	r=0.87	38yrs	208
Kerosene used in Cuba	r=0.87	42yrs	207
The number of brickmasons in Georgia	r=0.9	20yrs	201
Robberies in Michigan	r=0.91	38yrs	198
Kerosene used in Brazil	r=0.86	42yrs	196
The number of postal service machine operators in Kansas	r=0.9	20yrs	191
Burglaries in Minnesota	r=0.9	38yrs	186
Kerosene used in Romania	r=0.86	42yrs	186
The number of postmasters in New Hampshire	r=0.9	20yrs	181
The number of file clerks in New Mexico	r=0.9	20yrs	171
Liquefied petroleum gas used in Belarus	r=0.88	30yrs	166
The number of payroll and timekeeping clerks in Puerto Rico	r=0.9	20yrs	161
Petroluem consumption in Belarus	r=0.86	30yrs	154
Carjackings in the US	r=0.84	27yrs	142

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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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