fivethirtyeight
Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub · About: simonw/fivethirtyeight-datasette
airline-safety/airline-safety
airline, avail_seat_km_per_week, incidents_85_99, fatal_accidents_85_99, fatalities_85_99, incidents_00_14, fatal_accidents_00_14, fatalities_00_14
56 rows
alcohol-consumption/drinks
country, beer_servings, spirit_servings, wine_servings, total_litres_of_pure_alcohol
193 rows
antiquities-act/actions_under_antiquities_act
current_name, states, original_name, current_agency, action, date, year, pres_or_congress, acres_affected
344 rows
august-senate-polls/august_senate_polls
cycle, state, senate_class, start_date, end_date, DEM_poll, REP_poll, DEM_result, REP_result...
594 rows
avengers/avengers
URL, Name/Alias, Appearances, Current?, Gender, Probationary Introl, Full/Reserve Avengers Intro, Year, Years since joining...
173 rows
bachelorette/bachelorette
SHOW, SEASON, CONTESTANT, ELIMINATION-1, ELIMINATION-2, ELIMINATION-3, ELIMINATION-4, ELIMINATION-5, ELIMINATION-6...
921 rows
bad-drivers/bad-drivers
State, Number of drivers involved in fatal collisions per billion miles, Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding, Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired, Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted, Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents, Car Insurance Premiums ($), Losses incurred by insurance companies for collisions per insured driver ($)
51 rows
bechdel/movies
year, imdb, title, test, clean_test, binary, budget, domgross, intgross...
1,794 rows
biopics/biopics
title, site, country, year_release, box_office, director, number_of_subjects, subject, type_of_subject...
761 rows
bob-ross/elements-by-episode
EPISODE, TITLE, APPLE_FRAME, AURORA_BOREALIS, BARN, BEACH, BOAT, BRIDGE, BUILDING...
403 rows
candy-power-ranking/candy-data
competitorname, chocolate, fruity, caramel, peanutyalmondy, nougat, crispedricewafer, hard, bar...
85 rows
classic-rock/classic-rock-song-list
Song Clean, ARTIST CLEAN, Release Year, COMBINED, First?, Year?, PlayCount, F*G
2,229 rows
college-majors/all-ages
Major_code, Major, Major_category, Total, Employed, Employed_full_time_year_round, Unemployed, Unemployment_rate, Median...
173 rows
college-majors/grad-students
Major_code, Major, Major_category, Grad_total, Grad_sample_size, Grad_employed, Grad_full_time_year_round, Grad_unemployed, Grad_unemployment_rate...
173 rows
college-majors/recent-grads
Rank, Major_code, Major, Total, Men, Women, Major_category, ShareWomen, Sample_size...
173 rows
college-majors/women-stem
Rank, Major_code, Major, Major_category, Total, Men, Women, ShareWomen, Median
76 rows
comic-characters/marvel-wikia-data
page_id, name, urlslug, ID, ALIGN, EYE, HAIR, SEX, GSM...
16,376 rows
comma-survey/comma-survey
RespondentID, In your opinion, which sentence is more gramatically correct?, Prior to reading about it above, had you heard of the serial (or Oxford) comma?, How much, if at all, do you care about the use (or lack thereof) of the serial (or Oxford) comma in grammar?, How would you write the following sentence?, When faced with using the word "data", have you ever spent time considering if the word was a singular or plural noun?, How much, if at all, do you care about the debate over the use of the word "data" as a singluar or plural noun?, In your opinion, how important or unimportant is proper use of grammar?, Gender...
1,129 rows
congress-age/congress-terms
congress, chamber, bioguide, firstname, middlename, lastname, suffix, birthday, state...
18,635 rows
congress-generic-ballot/generic_topline_historical
subgroup, modeldate, dem_estimate, dem_hi, dem_lo, rep_estimate, rep_hi, rep_lo, timestamp
7,669 rows
congress-resignations/congressional_resignations
Member, Party, District, Congress, Resignation Date, Reason, Source, Category
615 rows
covid-geography/mmsa-icu-beds
MMSA, total_percent_at_risk, high_risk_per_ICU_bed, high_risk_per_hospital, icu_beds, hospitals, total_at_risk
136 rows
daily-show-guests/daily_show_guests
YEAR, GoogleKnowlege_Occupation, Show, Group, Raw_Guest_List
2,693 rows
drug-use-by-age/drug-use-by-age
age, n, alcohol-use, alcohol-frequency, marijuana-use, marijuana-frequency, cocaine-use, cocaine-frequency, crack-use...
17 rows
early-senate-polls/early-senate-polls
year, election_result, presidential_approval, poll_average
107 rows
elo-blatter/elo_blatter
country, elo98, elo15, confederation, gdp06, popu06, gdp_source, popu_source
209 rows
endorsements-june-30/endorsements-june-30
year, party, candidate, endorsement_points, percentage_endorsement_points, money_raised, percentage_of_money, primary_vote_percentage, won_primary
109 rows
fandango/fandango_score_comparison
FILM, RottenTomatoes, RottenTomatoes_User, Metacritic, Metacritic_User, IMDB, Fandango_Stars, Fandango_Ratingvalue, RT_norm...
146 rows
fifa/fifa_countries_audience
country, confederation, population_share, tv_audience_share, gdp_weighted_share
191 rows
fight-songs/fight-songs
school, conference, song_name, writers, year, student_writer, official_song, contest, bpm...
65 rows
flying-etiquette-survey/flying-etiquette
RespondentID, How often do you travel by plane?, Do you ever recline your seat when you fly?, How tall are you?, Do you have any children under 18?, In a row of three seats, who should get to use the two arm rests?, In a row of two seats, who should get to use the middle arm rest?, Who should have control over the window shade?, Is itrude to move to an unsold seat on a plane?...
1,040 rows
food-world-cup/food-world-cup-data
RespondentID, Generally speaking, how would you rate your level of knowledgeÊof cuisines from different parts of the world?, How much, if at all, are you interested in cuisines from different parts of the world?, Please rate how much you like the traditional cuisine of Algeria:, Please rate how much you like the traditional cuisine of Argentina., Please rate how much you like the traditional cuisine ofÊAustralia., Please rate how much you like the traditional cuisine of Belgium., Please rate how much you like the traditional cuisine of Bosnia and Herzegovina., Please rate how much you like the traditional cuisine of Brazil....
1,373 rows
forecast-methodology/historical-senate-predictions
state, year, candidate, forecast_prob, result, winflag
207 rows
forecast-review/forecast_results_2018
cycle, branch, race, forecastdate, version, Democrat_WinProbability, Republican_WinProbability, category, Democrat_Won...
1,518 rows
foul-balls/foul-balls
matchup, game_date, type_of_hit, exit_velocity, predicted_zone, camera_zone, used_zone
906 rows
goose/goose_rawdata
name, year, team, league, goose_eggs, broken_eggs, mehs, league_average_gpct, ppf...
30,962 rows
hate-crimes/hate_crimes
state, median_household_income, share_unemployed_seasonal, share_population_in_metro_areas, share_population_with_high_school_degree, share_non_citizen, share_white_poverty, gini_index, share_non_white...
51 rows
hip-hop-candidate-lyrics/genius_hip_hop_lyrics
id, candidate, song, artist, sentiment, theme, album_release_date, line, url
377 rows
historical-ncaa-forecasts/historical-538-ncaa-tournament-model-results
year, round, favorite, underdog, favorite_probability, favorite_win_flag
253 rows
inconvenient-sequel/ratings
timestamp, respondents, category, link, average, mean, median, 1_votes, 2_votes...
80,053 rows
librarians/librarians-by-msa
prim_state, area_name, tot_emp, emp_prse, jobs_1000, loc_quotient
373 rows
love-actually/love_actually_adjacencies
actors, bill_nighy, keira_knightley, andrew_lincoln, hugh_grant, colin_firth, alan_rickman, heike_makatsch, laura_linney...
14 rows
love-actually/love_actually_appearances
scenes, bill_nighy, keira_knightley, andrew_lincoln, hugh_grant, colin_firth, alan_rickman, heike_makatsch, laura_linney...
1,003 rows
mad-men/show-data
Performer, Show, Show Start, Show End, Status?, CharEnd, Years Since, #LEAD, #SUPPORT...
248 rows
march-madness-predictions/bracket-00
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-01
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-02
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-03
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-04
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-05
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-06
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-07
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-08
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-09
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-10
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-11
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-12
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-13
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-14
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-15
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-16
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-17
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-18
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-19
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-20
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-21
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-22
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-23
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-24
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-25
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-26
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-27
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-28
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-29
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-30
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-31
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-32
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-33
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-34
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-35
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-36
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-37
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-38
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-39
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-40
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-41
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-42
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-43
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-44
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-45
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-46
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-47
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-48
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-49
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-50
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-51
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-52
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-53
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-54
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-55
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-56
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-57
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-58
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-59
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-60
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
march-madness-predictions/bracket-61
team_id, team_name, team_seed, team_region, playin_flag, team_alive, rd1_win, rd2_win, rd3_win...
68 rows
marriage/both_sexes
Unnamed: 0, year, date, all_2534, HS_2534, SC_2534, BAp_2534, BAo_2534, GD_2534...
17 rows
marriage/divorce
Unnamed: 0, year, date, all_3544, HS_3544, SC_3544, BAp_3544, BAo_3544, GD_3544...
17 rows
marriage/men
Unnamed: 0, year, date, all_2534, HS_2534, SC_2534, BAp_2534, BAo_2534, GD_2534...
17 rows
marriage/women
Unnamed: 0, year, date, all_2534, HS_2534, SC_2534, BAp_2534, BAo_2534, GD_2534...
17 rows
masculinity-survey/masculinity-survey
AMONG ADULT MEN, Unnamed: 1, Adult Men, Age, Unnamed: 4, Unnamed: 5, Race, Unnamed: 7, Children...
232 rows
masculinity-survey/raw-responses
Unnamed: 0, StartDate, EndDate, q0001, q0002, q0004_0001, q0004_0002, q0004_0003, q0004_0004...
1,615 rows
media-mentions-2020/cable_weekly
date, name, matched_clips, all_candidate_clips, total_clips, pct_of_all_candidate_clips, query
1,008 rows
media-mentions-2020/online_weekly
date, name, matched_stories, all_candidate_stories, pct_of_all_candidate_stories, query
1,008 rows
mlb-allstar-teams/allstar_player_talent
bbref_ID, yearID, gameNum, gameID, lgID, startingPos, OFF600, DEF600, PITCH200...
3,930 rows
mlb-allstar-teams/allstar_team_talent
yearID, gameNum, gameID, lgID, tm_OFF_talent, tm_DEF_talent, tm_PIT_talent, MLB_avg_RPG, talent_RSPG...
172 rows
mlb-quasi-win-shares/quasi_winshares
name_common, age, player_ID, year_ID, team_ID, lg_ID, pct_PT, WAR162, def_pos...
98,796 rows
most-common-name/adjusted-name-combinations-list
Unnamed: 0, FirstName, Surname, Adjustment, cleanName, Estimate, finalEstimate
400 rows
most-common-name/adjusted-name-combinations-matrix
Unnamed: 0, FirstName, SMITH, JOHNSON, WILLIAMS, BROWN, JONES, GARCIA, RODRIGUEZ...
20 rows
most-common-name/adjustments
Unnamed: 0, Miller, Anderson, Martin, Smith, Thompson, Wilson, Moore, White...
20 rows
most-common-name/independent-name-combinations-by-pop
Unnamed: 0, SMITH, JOHNSON, WILLIAMS, BROWN, JONES, GARCIA, RODRIGUEZ, MILLER...
100 rows
most-common-name/surnames
name, rank, count, prop100k, cum_prop100k, pctwhite, pctblack, pctapi, pctaian...
151,671 rows
mueller-polls/mueller-approval-polls
Start, End, Pollster, Sample Size, Population, Text, Approve, Disapprove, Unsure...
65 rows
murder_2016/murder_2016_prelim
city, state, 2015_murders, 2016_murders, change, source, as_of
79 rows
nba-draft-2015/historical_projections
Player, Position, ID, Draft Year, Projected SPM, Superstar, Starter, Role Player, Bust
1,090 rows
nba-elo/nbaallelo
gameorder, game_id, lg_id, _iscopy, year_id, date_game, seasongame, is_playoffs, team_id...
126,314 rows
nba-raptor/historical_RAPTOR_by_player
player_name, player_id, season, poss, mp, raptor_offense, raptor_defense, raptor_total, war_total...
18,013 rows
nba-raptor/historical_RAPTOR_by_team
player_name, player_id, season, season_type, team, poss, mp, raptor_offense, raptor_defense...
28,179 rows
nba-raptor/modern_RAPTOR_by_player
player_name, player_id, season, poss, mp, raptor_box_offense, raptor_box_defense, raptor_box_total, raptor_onoff_offense...
3,539 rows
nba-raptor/modern_RAPTOR_by_team
player_name, player_id, season, season_type, team, poss, mp, raptor_box_offense, raptor_box_defense...
5,492 rows
ncaa-womens-basketball-tournament/ncaa-womens-basketball-tournament-history
Year, School, Seed, Conference, Conf. W, Conf. L, Conf. %, Conf. place, Reg. W...
2,092 rows
next-bechdel/nextBechdel_allTests
movie, bechdel, peirce, landau, feldman, villareal, hagen, ko, villarobos...
50 rows
next-bechdel/nextBechdel_crewGender
MOVIE, DEPARTMENT, FULL_NAME, FIRST_NAME, IMDB, GENDER_PROB, GENDER_GUESS
10,029 rows
nfl-fandom/NFL_fandom_data-google_trends
Unnamed: 0, Pct. Of major sports searches, Unnamed: 2, Unnamed: 3, Unnamed: 4, Unnamed: 5, Unnamed: 6, Unnamed: 7, Unnamed: 8
208 rows
nfl-fandom/NFL_fandom_data-surveymonkey
Unnamed: 0, Unnamed: 1, Democrat, Unnamed: 3, Unnamed: 4, Unnamed: 5, Unnamed: 6, Unnamed: 7, Independent...
34 rows
nfl-wide-receivers/advanced-historical
pfr_player_id, player_name, career_try, career_ranypa, career_wowy, bcs_rating
6,496 rows
nutrition-studies/raw_anonymized_data
ID, cancer, diabetes, heart_disease, belly, ever_smoked, currently_smoke, smoke_often, smoke_rarely...
54 rows
pew-religions/current
0.00719424460432, 0.213771839671, 0.261048304214, 0.00719424460432.1, 0.0668036998972, 0.0082219938335, 0.0195272353546, 0.151079136691, 0.016443987667...
100 rows
police-deaths/clean_data
person, dept, eow, cause, cause_short, date, year, canine, dept_name...
22,800 rows
police-killings/police_killings
name, age, gender, raceethnicity, month, day, year, streetaddress, city...
467 rows
police-locals/police-locals
city, police_force_size, all, white, non-white, black, hispanic, asian
75 rows
poll-quiz-guns/guns-polls
Question, Start, End, Pollster, Population, Support, Republican Support, Democratic Support, URL
57 rows
polls/pres_pollaverages_1968-2016
cycle, state, modeldate, candidate_name, candidate_id, pct_estimate, pct_trend_adjusted, timestamp, comment...
217,473 rows
polls/pres_primary_avgs_1980-2016
race, state, modeldate, candidate_name, candidate_id, pct_estimate, pct_trend_adjusted, timestamp, comment...
301,695 rows
pollster-ratings/2016/pollster-ratings
ID, Pollster, Polls, Live Caller With Cellphones, Internet, NCPP/AAPOR/Roper, Polls.1, Simple Average Error, Races Called Correctly...
372 rows
pollster-ratings/2016/raw-polls
pollno, race, year, location, type_simple, type_detail, pollster, partisan, polldate...
7,977 rows
pollster-ratings/2018/pollster-ratings
Pollster, # of Polls, NCPP / AAPOR / Roper, Exclusively Live Caller With Cellphones, Methodology, Banned by 538, Historical Advanced Plus-Minus, Predictive Plus-Minus, 538 Grade...
396 rows
pollster-ratings/2018/raw-polls
pollno, race, year, location, type_simple, type_detail, pollster, partisan, polldate...
8,512 rows
pollster-ratings/2019/pollster-ratings
Pollster, Pollster Rating ID, # of Polls, NCPP / AAPOR / Roper, Live Caller With Cellphones, Methodology, Banned by 538, Historical Advanced Plus-Minus, Predictive Plus-Minus...
430 rows
pollster-ratings/2019/raw-polls
pollno, race, year, location, type_simple, type_detail, pollster, pollster_rating_id, polldate...
9,133 rows
pollster-ratings/pollster-ratings
Pollster, Pollster Rating ID, # of Polls, NCPP / AAPOR / Roper, Live Caller With Cellphones, Methodology, Banned by 538, Predictive Plus-Minus, 538 Grade...
453 rows
pollster-ratings/raw-polls
poll_id, question_id, race_id, year, race, location, type_simple, type_detail, pollster...
9,559 rows
potential-candidates/2015_01_14/events
Person, Party, State, Event, Type, Date, Link, Snippet
42 rows
potential-candidates/2015_01_14/statements
Person, Party, Statement Date, Latest Statement, Statement Score
25 rows
potential-candidates/2015_01_30/events
Person, Party, State, Event, Type, Date, Link, Snippet
74 rows
potential-candidates/2015_01_30/statements
Person, Party, Statement Date, Latest Statement, Statement Score
27 rows
presidential-candidate-favorables-2019/favorability_polls_rv_2019
question_id, start_date, end_date, pollster_id, pollster, sponsors, sample_size, population, methodology...
1,631 rows
presidential-commencement-speeches/commencement_speeches
president, president_name, title, date, city, state, building, room
154 rows
primary-candidates-2018/dem_candidates
Candidate, State, District, Office Type, Race Type, Race Primary Election Date, Primary Status, Primary Runoff Status, General Status...
811 rows
primary-candidates-2018/rep_candidates
Candidate, State, District, Office Type, Race Type, Race Primary Election Date, Primary Status, Primary Runoff Status, General Status...
774 rows
puerto-rico-media/google_trends
Day, "Hurricane Harvey": (United States), "Hurricane Irma": (United States), "Hurricane Maria": (United States), "Hurricane Jose": (United States)
37 rows
puerto-rico-media/mediacloud_trump
Date, title:"Puerto Rico", title:"Puerto Rico" AND (title:Trump OR title:President), title:Florida, title:Florida AND (title:Trump OR title:President), title:Texas, title:Texas AND (title:Trump OR title:President)
51 rows
pulitzer/pulitzer-circulation-data
Newspaper, Daily Circulation, 2004, Daily Circulation, 2013, Change in Daily Circulation, 2004-2013, Pulitzer Prize Winners and Finalists, 1990-2003, Pulitzer Prize Winners and Finalists, 2004-2014, Pulitzer Prize Winners and Finalists, 1990-2014
50 rows
rare-pepes/ordermatches_all
Block, ForwardAsset, ForwardQuantity, BackwardAsset, BackwardQuantity
26,038 rows
region-survey/MIDWEST
RespondentID, In your own words, what would you call the part of the country you live in now?, How much, if at all, do you personally identify as a Midwesterner?, Unnamed: 3, Unnamed: 4, Unnamed: 5, Which of the following states do you consider part of the Midwest? Please select all that apply. , Unnamed: 7, Unnamed: 8...
2,779 rows
region-survey/SOUTH
RespondentID, In your own words, what would you call the part of the country you live in now?, How much, if at all, do you personally identify as a Southerner?, Unnamed: 3, Unnamed: 4, Unnamed: 5, Which of the following states do you consider part of the South? Please select all that apply. , Unnamed: 7, Unnamed: 8...
2,529 rows
religion-survey/religion-survey-results
What is your present religion, if any?, Unnamed: 1, Do you consider yourself to be an evangelical?, Do you attend religious services, How often do you: Pray in public with visible motions (sign of the cross, bowing, prostration, shokeling, etc), How often do you: Pray in public using some kind of physical object (rosary, tefillin, etc), How often do you: Pray aloud before meals in the presence of people who don't belong to your religion, How often do you: Tell someone you'll pray for him or her, How often do you: Ask or offer to pray with someone...
1,040 rows
reluctant-trump/february_2018_rawdata
q1, issue_matters_most, trump_approval, q4, q5, q6, q7, q8, q9...
7,169 rows
riddler-castles/castle-solutions
Castle 1, Castle 2, Castle 3, Castle 4, Castle 5, Castle 6, Castle 7, Castle 8, Castle 9...
1,387 rows
riddler-castles/castle-solutions-2
Castle 1, Castle 2, Castle 3, Castle 4, Castle 5, Castle 6, Castle 7, Castle 8, Castle 9...
932 rows
riddler-castles/castle-solutions-3
Castle 1, Castle 2, Castle 3, Castle 4, Castle 5, Castle 6, Castle 7, Castle 8, Castle 9...
1,466 rows
riddler-castles/castle-solutions-4
Castle 1, Castle 2, Castle 3, Castle 4, Castle 5, Castle 6, Castle 7, Castle 8, Castle 9...
1,013 rows
riddler-castles/castle-solutions-5
Castle 1, Castle 2, Castle 3, Castle 4, Castle 5, Castle 6, Castle 7, Castle 8, Castle 9...
963 rows
russia-investigation/russia-investigation
investigation, investigation-start, investigation-end, investigation-days, name, indictment-days , type, cp-date, cp-days...
194 rows
san-andreas/earthquake_data
In general, how worried are you about earthquakes?, How worried are you about the Big One, a massive, catastrophic earthquake?, Do you think the "Big One" will occur in your lifetime?, Have you ever experienced an earthquake?, Have you or anyone in your household taken any precautions for an earthquake (packed an earthquake survival kit, prepared an evacuation plan, etc.)?, How familiar are you with the San Andreas Fault line?, How familiar are you with the Yellowstone Supervolcano?, Age, What is your gender?...
1,013 rows
sandy-311-calls/sandy-311-calls-by-day
date, NYC-3-1-1, ACS, BPSI, CAU, CHALL, DEP, DOB, DOE...
1,783 rows
sleeping-alone-data/sleeping-alone-data
StartDate, EndDate, Which of the following best describes your current relationship status?, How long have you been in your current relationship? If you are not currently in a relationship, please answer according to your last relationship., When both you and your partner are at home, how often do you sleep in separate beds?, When you're not sleeping in the same bed as your partner, where do you typically sleep?, Unnamed: 6, When you're not sleeping in the same bed, where does your partner typically sleep?, Unnamed: 8...
1,094 rows
special-elections/special-elections
Date, State, Race, Median Household Income, % Bachelor's Degree or Higher, Clinton Margin Improvement Over Obama, 2017-2018 Dem Margin Improvement Over Partisan Lean
200 rows
sports-political-donations/sports-political-donations
Owner, Team, League, Recipient, Amount, Election Year, Party
2,798 rows
star-wars-survey/StarWars
RespondentID, Have you seen any of the 6 films in the Star Wars franchise?, Do you consider yourself to be a fan of the Star Wars film franchise?, Which of the following Star Wars films have you seen? Please select all that apply., Unnamed: 4, Unnamed: 5, Unnamed: 6, Unnamed: 7, Unnamed: 8...
1,187 rows
state-of-the-state/words
phrase, category, d_speeches, r_speeches, total, percent_of_d_speeches, percent_of_r_speeches, chi2, pval
2,223 rows
steak-survey/steak-risk-survey
RespondentID, Consider the following hypothetical situations: <br>In Lottery A, you have a 50% chance of success, with a payout of $100. <br>In Lottery B, you have a 90% chance of success, with a payout of $20. <br><br>Assuming you have $10 to bet, would you play Lottery A or Lottery B?, Do you ever smoke cigarettes?, Do you ever drink alcohol?, Do you ever gamble?, Have you ever been skydiving?, Do you ever drive above the speed limit?, Have you ever cheated on your significant other?, Do you eat steak?...
551 rows
tennis-time/serve_times
server, seconds_before_next_point, day, opponent, game_score, set, game
120 rows
tenth-circuit/tenth-circuit
Title, Date, Federal Reporter Citation, Westlaw Citation, Issue, Weight, Judge1, Judge2, Judge3...
954 rows
terrorism/country_stats_1993_appendix2
Country, Number of Incidents, Percent, Number Killed, Number Injured, Number US Killed, Number US Injured
129 rows
terrorism/eu_terrorism_fatalities_by_country
iyear, Belgium, Denmark, France, Germany, Greece, Ireland, Italy, Luxembourg...
45 rows
thanksgiving-2015/thanksgiving-2015-poll-data
RespondentID, Do you celebrate Thanksgiving?, What is typically the main dish at your Thanksgiving dinner?, What is typically the main dish at your Thanksgiving dinner? - Other (please specify), How is the main dish typically cooked?, How is the main dish typically cooked? - Other (please specify), What kind of stuffing/dressing do you typically have?, What kind of stuffing/dressing do you typically have? - Other (please specify), What type of cranberry saucedo you typically have?...
1,058 rows
trump-lawsuits/trump-lawsuits
docketNumber, dateFiled, caseName, plaintiff, defendant, currentLocation, previousLocation, jurisdiction, judge...
57 rows
trump-world-trust/TRUMPWORLD-pres
year, avg, Canada, France, Germany, Greece, Hungary, Italy, Netherlands...
15 rows
trump-world-trust/TRUMPWORLD-us
year, avg, Canada, France, Germany, Greece, Hungary, Italy, Netherlands...
17 rows
twitter-ratio/senators
created_at, text, url, replies, retweets, favorites, user, bioguide_id, party...
288,615 rows
urbanization-index/urbanization-census-tract
statefips, state, gisjoin, lat_tract, long_tract, population, adj_radiuspop_5, urbanindex
73,280 rows
us-weather-history/KCLT
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KCQT
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KHOU
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KIND
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KJAX
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KMDW
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KNYC
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KPHL
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KPHX
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
us-weather-history/KSEA
date, actual_mean_temp, actual_min_temp, actual_max_temp, average_min_temp, average_max_temp, record_min_temp, record_max_temp, record_min_temp_year...
365 rows
voter-registration/new-voter-registrations
Jurisdiction, Year, Month, New registered voters
106 rows
weather-check/weather-check
RespondentID, Do you typically check a daily weather report?, How do you typically check the weather?, A specific website or app (please provide the answer), If you had a smartwatch (like the soon to be released Apple Watch), how likely or unlikely would you be to check the weather on that device?, Age, What is your gender?, How much total combined money did all members of your HOUSEHOLD earn last year?, US Region
928 rows
womens-world-cup-predictions/wwc-forecast-20150602-093000
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150606-200029
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150606-230045
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150607-150137
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150607-180420
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150608-175420
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150608-210138
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150608-212619
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150608-235509
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150609-145605
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150609-175933
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150609-205725
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150611-182114
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150611-200059
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150611-210229
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150611-232844
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150612-185329
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150612-205525
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150612-215533
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150612-235650
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150613-145639
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150613-175552
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150613-205441
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150615-175745
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150615-213540
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150616-190139
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150616-220036
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150617-175941
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150617-210614
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150620-180614
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150620-213513
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150621-145724
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150621-175918
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150621-213134
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150622-185345
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150622-215702
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150623-235546
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150626-184421
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150626-212544
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150627-180119
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150627-213532
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150630-210243
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150701-205548
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-forecast-20150705-205539
team, group, wspi, wspi_offense, wspi_defense, group_first, group_second, group_third_advance, group_third_no_advance...
24 rows
womens-world-cup-predictions/wwc-matches-20150602-093000
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150606-200029
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150606-230045
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150607-150137
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150607-180420
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150608-175420
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150608-210138
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150608-212619
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150608-235509
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150609-145605
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150609-175933
date, group, team1, team2, team1_win, team2_win, tie
36 rows
womens-world-cup-predictions/wwc-matches-20150609-205725
date, group, team1, team2, team1_win, team2_win, tie
36 rows
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Download SQLite DB: fivethirtyeight.db 271.7 MB