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

VariableCorrelationYearsHas img?
Master's degrees awarded in Engineeringr=0.9410yrsNo
Arson in New Yorkr=0.9238yrsNo
Burglaries in Colorador=0.9238yrsNo
Burglaries in Alaskar=0.9138yrsNo
The wind speed in Minneapolisr=0.8739yrsNo
Assistant Processor salaries in the USr=0.8613yrsNo
Total comments on 'Be Smart' science YouTube videosr=0.8410yrsNo
Cottage cheese consumptionr=0.8132yrsNo



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

VariableCorrelationYearsSys. Score
The number of MRI technicians in Wisconsinr=0.9511yrs380
Remaining Forest Cover in the Brazilian Amazonr=0.8636yrs357
Kerosene used in Egyptr=0.8542yrs354
The number of social workers in Illinoisr=0.9413yrs350
The number of occupational therapy assistants in Wisconsinr=0.9213yrs347
Motor vehicle thefts in Oklahomar=0.938yrs346
Petroluem consumption in Uzbekistanr=0.8730yrs345
Robberies in Oregonr=0.938yrs336
The wind speed in Nashviller=0.8639yrs336
Air pollution in Steamboat Springs, Colorador=0.8538yrs314
Burglaries in New Yorkr=0.938yrs296
Master's degrees awarded in Engineering technologiesr=0.9110yrs296
Associates degrees awarded in Precision productionr=0.9111yrs295
The number of office clerks in Washingtonr=0.920yrs291
Total length of Casually Explained YouTube videosr=0.878yrs286
Total length of Computerphile YouTube videosr=0.8610yrs286
Arson in Colorador=0.8938yrs285
The number of roofers in South Carolinar=0.8920yrs280
Median Weekly Earnings of Self-Employed Workers in the UKr=0.8811yrs276
Burglaries in Oregonr=0.8938yrs275
The number of plumbers in Georgiar=0.8720yrs268
Average number of milk cows in the United Statesr=0.843yrs267
Burglaries in Californiar=0.8938yrs265
The number of postal service mail carriers in North Dakotar=0.8820yrs258
Motor vehicle thefts in Massachusettsr=0.8938yrs255
Gasoline pumped in Somaliar=0.8542yrs249
The number of plumbers in Californiar=0.8620yrs246
Arson in Californiar=0.8838yrs244
Viewership count for Days of Our Livesr=0.7147yrs239
The number of production, planning, and expediting clerks in Illinoisr=0.8720yrs236
Burglaries in Connecticutr=0.8738yrs232
The number of sheet metal workers in Massachusettsr=0.8720yrs226
The wind speed in San Diegor=0.8139yrs223
Burglaries in Montanar=0.8638yrs220
The average age of batters for the Kansas City Royalsr=0.648yrs218
Air pollution in Los Angelesr=0.8543yrs218
The number of procurement clerks in Missourir=0.8720yrs216
Gasoline pumped in Bulgariar=0.8342yrs216
Frozen yogurt consumptionr=0.7732yrs216
The distance between Neptune and the Sunr=0.748yrs216
The distance between Neptune and Earthr=0.748yrs216
The distance between Neptune and Mercuryr=0.748yrs216
Air pollution in Los Angelesr=0.8443yrs216
Burglaries in Texasr=0.8638yrs210
The number of training and development managers in New Yorkr=0.8719yrs206
Gasoline pumped in Cubar=0.8342yrs206
Customer satisfaction with Walmartr=0.727yrs204
Robberies in Michiganr=0.8638yrs200
The number of first-line retail sales supervisors in South Carolinar=0.9113yrs196
Kerosene used in Thailandr=0.8342yrs196
The wind speed in Austinr=0.839yrs192
Motor vehicle thefts in New Hampshirer=0.8538yrs189
The distance between Neptune and the moonr=0.748yrs186
The number of insurance claims and policy processing clerks in Nevadar=0.8620yrs185
Petroluem consumption in Bulgariar=0.8242yrs184
Evaporated and condensed milk consumptionr=0.7632yrs184
Air pollution in New York Cityr=0.8343yrs184
The wind speed in Milwaukeer=0.839yrs182
Robberies in New Yorkr=0.8538yrs179
The number of forging machine setters, operators, and tenders, metal and plastic in Tennesseer=0.8620yrs175
Kerosene used in Cubar=0.8242yrs174
Air pollution in Riverside, Californiar=0.8543yrs174
Average milk produced per cow in the USr=-0.843yrs167
The number of postal service mail carriers in Washingtonr=0.8620yrs165
Gasoline pumped in Francer=0.8143yrs164
Air pollution in San Diego, Californiar=0.8543yrs164
The number of computer user support specialists in New Yorkr=0.9211yrs155
The wind speed in Miamir=0.6939yrs155
Kerosene used in Venezuelar=0.8242yrs154
Air pollution in Oxnard, Californiar=0.8341yrs150
The number of drywall and ceiling tile installers in South Carolinar=0.8520yrs144
Kerosene used in Brazilr=0.8142yrs143
Air pollution in San Diego, Californiar=0.8243yrs140
The number of postal service mail carriers in Virginiar=0.8520yrs134
Kerosene used in Pakistanr=0.8142yrs133
Air pollution in Vincennes, Indianar=0.8439yrs129
The number of first-line retail sales supervisors in Tennesseer=0.913yrs124
Fossil fuel use in Sierra Leoner=0.7842yrs122
Air pollution in Oxnard, Californiar=0.8143yrs118
Kerosene used in Argentinar=0.842yrs112
Air pollution in Providence, Rhode Islandr=0.7943yrs106
Kerosene used in Australiar=0.7943yrs101
Air pollution in New York Cityr=0.7643yrs94
Kerosene used in Ecuadorr=0.7942yrs90
Arson in United Statesr=0.8538yrs84
Air pollution in New York Cityr=0.7643yrs84
Jet fuel used in French Polynesiar=0.7942yrs80
Violent crime ratesr=0.7238yrs74
Air pollution in Providence, Rhode Islandr=0.7843yrs74
Petroluem consumption in Romaniar=0.7942yrs70
Air pollution in Rockland, Mainer=0.8236yrs63
Burglary rates in the USr=0.8338yrs61
Kerosene used in Hong Kongr=0.7842yrs58
Jet fuel used in Afghanistanr=0.7642yrs46


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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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