Top variables that correlate with Popularity of the first name Kari

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

Variable	Correlation	Years	Has img?
The number of bailiffs in Maryland	r=0.82	20yrs	Yes!

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

Variable	Correlation	Years	Sys. Score
Average number of milk cows in the United States	r=0.97	43yrs	458
Kerosene used in Mexico	r=0.99	40yrs	433
Petroluem consumption in Bulgaria	r=0.97	42yrs	432
Gasoline pumped in Bulgaria	r=0.97	42yrs	432
Arson in New York	r=0.96	38yrs	416
Burglaries in Colorado	r=0.96	38yrs	416
Robberies in Oregon	r=0.96	38yrs	416
Kerosene used in Turkiye	r=0.96	43yrs	402
Average number of comments on Mark Rober YouTube videos	r=0.95	12yrs	396
Total likes of Mark Rober YouTube videos	r=0.95	12yrs	396
Total comments on Mark Rober YouTube videos	r=0.93	12yrs	394
Kerosene used in Ecuador	r=0.96	42yrs	390
Carjackings in the US	r=0.93	27yrs	390
The number of occupational therapy assistants in New Jersey	r=0.97	13yrs	384
The number of social workers in Colorado	r=0.96	13yrs	383
Associates degrees awarded in literature	r=0.96	11yrs	382
The distance between Neptune and Mercury	r=0.91	48yrs	382
Associates degrees awarded in Philosophy and religious studies	r=0.95	11yrs	381
The distance between Neptune and Earth	r=0.9	48yrs	380
The distance between Neptune and the moon	r=0.9	48yrs	380
The number of ophthalmic medical technicians in Wisconsin	r=0.95	11yrs	380
The wind speed in Nashville	r=0.9	39yrs	372
Viewership count for Days of Our Lives	r=0.87	47yrs	368
Patents granted to Toyota	r=0.93	12yrs	368
Customer satisfaction with Verizon	r=0.87	28yrs	366
Air pollution in Los Angeles	r=0.94	43yrs	366
Highest Nielsen rating for a TV show each year	r=0.88	46yrs	364
Air pollution in San Diego, California	r=0.94	43yrs	363
Air pollution in Los Angeles	r=0.91	43yrs	362
Remaining Forest Cover in the Brazilian Amazon	r=0.87	36yrs	358
Biomass power generated in Laos	r=0.98	9yrs	354
Bachelor's degrees awarded in Engineering technologies	r=0.96	10yrs	353
Solar power generated in Lebanon	r=0.96	12yrs	344
Ticket sales for Arizona Diamondbacks games	r=0.88	22yrs	342
Burglaries in Oregon	r=0.94	38yrs	342
Patents granted to Samsung Electronics	r=0.93	12yrs	338
The wind speed in Minneapolis	r=0.87	39yrs	337
Frozen yogurt consumption	r=0.87	32yrs	336
Google searches for 'restaurant near me'	r=0.91	12yrs	336
The wind speed in Austin	r=0.86	39yrs	336
Patents granted to Dell	r=0.93	11yrs	336
Google searches for 'instagram'	r=0.9	12yrs	334
Biomass power generated in Lebanon	r=0.97	10yrs	333
Air pollution in New York City	r=0.91	43yrs	332
Burglaries in New York	r=0.93	38yrs	331
The average number of likes on Mark Rober YouTube videos	r=0.9	12yrs	329
The number of receptionists in Wisconsin	r=0.94	20yrs	328
Solar power generated in Panama	r=0.96	10yrs	322
Air pollution in Oxnard, California	r=0.95	41yrs	322
Burglaries in Washington	r=0.93	38yrs	321
The distance between Neptune and the Sun	r=0.89	48yrs	319
The number of sailors and marine oilers in South Carolina	r=0.94	20yrs	317
Solar power generated in Uruguay	r=0.96	10yrs	312
Burglaries in California	r=0.93	38yrs	311
Air pollution in Norwich, Connecticut	r=0.91	42yrs	308
The number of roofers in California	r=0.92	20yrs	304
Total likes of Technology Connections YouTube videos	r=0.93	8yrs	300
Motor vehicle thefts in Oklahoma	r=0.92	38yrs	300
Gasoline pumped in Somalia	r=0.95	42yrs	299
Air pollution in Manchester, New Hampshire	r=0.9	43yrs	297
Bachelor's degrees awarded in Business	r=0.95	10yrs	292
The number of school teachers in Arkansas	r=0.93	13yrs	290
Average length of Simone Giertz's YouTube videos	r=0.91	9yrs	288
Kerosene used in Venezuela	r=0.94	42yrs	288
Burglaries in Texas	r=0.91	38yrs	288
Associates degrees awarded in Fine and studio arts	r=0.95	11yrs	281
The number of credit counselors in New Hampshire	r=0.94	13yrs	280
Burglaries in Connecticut	r=0.9	38yrs	276
Average views of LockPickingLawyer YouTube videos	r=0.96	8yrs	274
Kerosene used in Romania	r=0.92	42yrs	274
The number of firefighters in Wyoming	r=0.94	13yrs	270
Motor vehicle thefts in Massachusetts	r=0.9	38yrs	266
Kerosene used in Bolivia	r=0.91	42yrs	263
The average number of likes on Tom Scott's YouTube videos	r=0.89	14yrs	260
The number of school teachers in Florida	r=0.92	13yrs	258
Air pollution in Medford, Oregon	r=0.9	43yrs	257
Petroluem consumption in Romania	r=0.91	42yrs	253
The number of wastewater treatment plant operators in Mississippi	r=0.93	13yrs	248
Air pollution in San Diego, California	r=0.9	43yrs	247
Total likes of Tom Scott's YouTube videos	r=0.87	14yrs	246
Kerosene used in Uruguay	r=0.91	42yrs	243
Burglary rates in the US	r=0.86	38yrs	240
The number of compliance officers in Ohio	r=0.93	13yrs	238
Total length of Steve Mould's YouTube videos	r=0.87	14yrs	236
Air pollution in Spokane, Washington	r=0.88	43yrs	234
Gasoline pumped in Cuba	r=0.9	42yrs	232
The number of motorboat mechanics in Alabama	r=0.92	13yrs	227
Air pollution in Oxnard, California	r=0.87	43yrs	222
Total length of Technology Connections YouTube videos	r=0.91	8yrs	222
Kerosene used in Hong Kong	r=0.9	42yrs	222
The number of firefighters in New Hampshire	r=0.92	13yrs	217
Arson in Colorado	r=0.9	38yrs	216
Air pollution in Riverside, California	r=0.87	43yrs	212
Burglaries in Montana	r=0.9	38yrs	206
Petroluem consumption in Azerbaijan	r=0.92	30yrs	202
Burglaries in Oklahoma	r=0.9	38yrs	196
Jet fuel used in Ukraine	r=0.91	30yrs	191
Burglaries in Rhode Island	r=0.9	38yrs	186
Robberies in Michigan	r=0.89	38yrs	175
Arson in Maine	r=0.88	38yrs	164
Burglaries in Alaska	r=0.88	38yrs	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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