Top variables that correlate with The number of rail car repairers in Wisconsin

← Discover a correlation

A linear line chart

Data source: Bureau of Larbor Statistics
Report an error

The number of rail car repairers in Wisconsin correlates with...

Variable	Correlation	Years	Sys. Score
How 'hip and with it' 3Blue1Brown YouTube video titles are	r=0.93	6yrs	302
How nerdy PBS Space Time YouTube video titles are	r=0.86	6yrs	262
Google searches for 'report UFO sighting'	r=0.85	16yrs	202
Google searches for 'shook'	r=0.84	16yrs	194
Google searches for 'E.T. phone home'	r=0.83	16yrs	193
Jet fuel used in Guam	r=0.85	16yrs	193
Liquefied petroleum gas used in Iran	r=0.85	16yrs	193
The number of movies Drew Barrymore appeared in	r=0.8	16yrs	174
Popularity of the first name Mari	r=0.82	16yrs	168
Kerosene used in South Korea	r=0.82	16yrs	168
Swiss cheese consumption	r=0.75	16yrs	167
Google searches for 'life insurance quotes'	r=0.79	16yrs	167
Popularity of the first name Tiffanie	r=0.81	16yrs	167
US household spending on prescription drugs	r=0.8	16yrs	167
National Lacrosse Champions' Final Point	r=0.79	16yrs	166
Popularity of the first name Jarrod	r=0.8	16yrs	166
The distance between Neptune and Mercury	r=0.77	16yrs	164
National Lacrosse League Finalist Score Difference	r=0.75	16yrs	160
Portion of all US dairy skim-solids allocated to the production of fluid beverage milk	r=0.75	16yrs	156
How trendy 3Blue1Brown YouTube video titles are	r=0.83	6yrs	152
US birth rates of triplets or more	r=0.73	16yrs	149
Lukas Podolski's yearly international goals for Germany national team	r=0.79	13yrs	148
GMO use in corn grown in Wisconsin	r=0.73	16yrs	148
Pirate attacks globally	r=0.75	12yrs	145
Cottage cheese consumption	r=0.7	16yrs	144
GMO use in cotton	r=0.72	16yrs	143
US household spending on laundry and cleaning supplies	r=0.73	16yrs	142
The number of movies Humphrey Bogart appeared in	r=0.68	16yrs	142
Remaining Forest Cover in the Brazilian Amazon	r=0.68	16yrs	140
The distance between Neptune and the Sun	r=0.71	16yrs	140
The distance between Neptune and Earth	r=0.71	16yrs	140
Global Per Capita Rice Consumption	r=0.71	15yrs	138
GMO use in cotton	r=0.69	16yrs	138
Arson in United States	r=0.66	16yrs	138
Freezing temperatures in Berlin	r=0.7	16yrs	138
Viewership count of American Idol Season Finale	r=0.67	16yrs	137
Annual US household spending on prescription drugs	r=0.7	16yrs	137
Fossil fuel use in Austria	r=0.79	16yrs	137
Cigarette Smoking Rate for US adults	r=0.69	16yrs	136
Viewership count for Days of Our Lives	r=0.66	16yrs	136
Physical album shipment volume in the United States	r=0.69	16yrs	136
Popularity of the first name Jena	r=0.8	16yrs	136
Google searches for 'attacked by a squirrel'	r=0.75	16yrs	134
Fossil fuel use in Belgium	r=0.79	16yrs	127
Popularity of the first name Katia	r=0.8	16yrs	126
Google searches for 'oprah winfrey'	r=0.76	16yrs	122
Average number of comments on Simone Giertz's YouTube videos	r=0.8	7yrs	119
Fossil fuel use in Guam	r=0.79	16yrs	117
Popularity of the first name Lizette	r=0.8	16yrs	116
Adrian Wilson's tackle count	r=0.83	8yrs	116
Milk consumption	r=0.68	16yrs	113
The distance between Neptune and the moon	r=0.71	16yrs	110
Liquefied petroleum gas used in Barbados	r=0.81	16yrs	107
GMO use in soybeans in Wisconsin	r=-0.83	16yrs	106
Popularity of the first name Tyron	r=0.8	16yrs	106
Total Goals Scored by Craig Bellamy in Club Football by Seasons	r=0.81	10yrs	104
How trendy SciShow Space YouTube video titles are	r=0.77	7yrs	104
Ice cream consumption	r=0.68	16yrs	102
Kerosene used in Switzerland	r=0.81	16yrs	97
GMO use in soybeans in Wisconsin	r=-0.83	16yrs	96
Popularity of the first name Tyquan	r=0.8	16yrs	96
Number of Portugal matches played by Cristiano Ronaldo	r=0.74	16yrs	93
How geeky Vihart's YouTube video titles are	r=0.71	12yrs	90
US average milk-fat content of frozen dairy products	r=0.73	16yrs	88
Google searches for 'learn spanish'	r=0.7	16yrs	88
Kerosene used in Brazil	r=0.8	16yrs	86
Popularity of the first name Ty	r=0.79	16yrs	84
Cleansheets Achieved by Golden Glove Winners in the English Premier League	r=0.7	16yrs	80
How nerdy Tom Scott's YouTube video titles are	r=0.7	12yrs	79
US production of cottage cheese	r=0.7	16yrs	77
Google searches for 'black holes'	r=0.69	16yrs	77
Kerosene used in Egypt	r=0.8	16yrs	76
Popularity of the first name Tess	r=0.79	16yrs	74
How professional-sounding Tom Scott's YouTube video titles are	r=-0.9	12yrs	69
Portion of all US dairy skim-solids allocated to the production of frozen dairy products	r=0.72	16yrs	67
Petroluem consumption in Guam	r=0.8	16yrs	66
Popularity of the first name Odalys	r=0.79	16yrs	64
How fun Vihart's YouTube video titles are	r=0.7	12yrs	59
Portion of all US dairy skim-solids allocated to the production of cottage cheese	r=0.72	16yrs	57
Popularity of the first name Unique	r=0.79	16yrs	54
Fossil fuel use in Slovakia	r=0.77	16yrs	54
How clickbait-y MrBeast's YouTube video titles are	r=0.72	9yrs	49
US dairy skim solids used to produce cottage cheese	r=0.7	16yrs	46
Popularity of the first name Sade	r=0.79	16yrs	44
Fossil fuel use in Luxembourg	r=0.76	16yrs	42
US average milk-fat content of milk fat and skim solids byproduct fluid beverage milk	r=0.71	16yrs	36
Popularity of the first name Mindy	r=0.79	16yrs	34
Nuclear power generation in Germany	r=0.75	16yrs	31
Brick cheese consumption	r=0.64	16yrs	26
Popularity of the first name Kaylan	r=0.79	16yrs	24
Kerosene used in Hong Kong	r=0.76	16yrs	20
Popularity of the first name Estrella	r=0.79	16yrs	14
Liquefied petroleum gas used in Switzerland	r=0.76	16yrs	10
Popularity of the first name Donna	r=0.78	16yrs	2
Jet fuel used in Albania	r=0.75	16yrs	-2
Popularity of the first name Shantel	r=0.78	16yrs	-8
Gasoline pumped in Portugal	r=0.75	16yrs	-12
Popularity of the first name Berenice	r=0.78	16yrs	-18
Kerosene used in United Kingdom	r=0.75	16yrs	-22
Popularity of the first name Tabatha	r=0.78	16yrs	-28
Geothermal power generated in Austria	r=0.76	14yrs	-44

Loading...!

<< Back to discover a correlation

^{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.)


Issue:
Additional details: Optional
Confirm you are a human: