united states house of representatives elections, 1934
Table:
District

Incumbent

Party

First
elected

Result

Candidates

Minnesota 1

None (District created)

New seat
Republican gain

August H. Andresen (R) 46.6%
John W. Feller (D) 27.0%
Otto Baudler (FL) 26.5%

Minnesota 2

Henry M. Arens
Redistricted from At-large

Farmer-Labor

1932

Lost re-election
Democratic gain

Elmer Ryan (D) 37.2%
Henry M. Arens (FL) 32.1%
L. P. Johnson (R) 30.7%

Minnesota 3

Ernest Lundeen
Redistricted from At-large

Farmer-Labor

1932

Re-elected

Ernest Lundeen (FL) 53.3%
Josiah H. Chase (R) 25.8%
John W. Schmidt (D) 20.3%
Peter O. Sjodin (I) 0.6%

Minnesota 4

Einar Hoidale
Redistricted from At-large

Democratic

1932

Retired to run for U.S. Senate
Republican gain

Melvin J. Maas (R) 36.8%
A. E. Smith (FL) 29.4%
John J. McDonough (D) 23.4%
Charles J. Andre (I) 9.9%
Thomas Tracy (I) 0.5%

Minnesota 5

Theodore Christianson
Redistricted from At-large

Republican

1932

Re-elected

Theodore Christianson (R) 39.3%
Dewey W. Johnson (FL) 36.2%
Sidney Benson (D) 23.8%
Harry Mayville (I) 0.4%
George Riedel (I) 0.3%

Ray P. Chase
Redistricted from At-large

Republican

1932

Lost renomination
Republican loss

Minnesota 6

Harold Knutson
Redistricted from At-large

Republican

1916

Re-elected

Harold Knutson (R) 46.2%
Magnus Johnson (FL) 37.8%
Frank R. Weber (D) 16.0%

Magnus Johnson
Redistricted from At-large

Farmer-Labor

1932

Lost re-election
Farmer-Labor loss

Minnesota 7

Paul John Kvale
Redistricted from At-large

Farmer-Labor

1929

Re-elected

Paul John Kvale (FL) 59.3%
Richard T. Daly (D) 40.7%

Minnesota 8

Francis H. Shoemaker
Redistricted from At-large

Farmer-Labor

1932

Lost re-election as independent
Republican gain

William Alvin Pittenger (R) 35.7%
Francis H. Shoemaker (I) 23.0%
A. L. Winterquist (FL) 22.6%
Jerry A. Harri (D) 16.9%
Thomas Foley (I) 1.8%

Minnesota 9

None (District created)

New seat
Farmer-Labor gain

Rich T. Buckler (FL) 44.2%
Ole O. Sageng (R) 29.1%
Martin Oscar Brandon (D) 26.7%

Looking at the table on 'united states house of representatives elections, 1934' - "" section, choose the correct column type(s) for the highlighted column using this list of possible types: education.educational_degree, basketball.basketball_conference, broadcast.artist, american_football.football_player, aviation.airport, soccer.football_league_season, royalty.noble_title, film.film_distributor, ice_hockey.hockey_player, location.uk_constituent_country, business.job_title, music.performance_role, sports.sport, sports.professional_sports_team, theater.theater_actor, film.actor, sports.sports_league_draft, music.artist, religion.religious_leader, cricket.cricket_bowler, film.production_company, military.armed_force, sports.sports_league, chemistry.chemical_element, award.award, theater.play, music.writer, astronomy.celestial_object, geography.mountain, tv.tv_director, chess.chess_player, biology.animal, education.athletics_brand, location.capital_of_administrative_division, tv.tv_program_creator, travel.accommodation, sports.sports_facility, rail.locomotive_class, government.politician, music.media_format, broadcast.tv_channel, sports.cyclist, soccer.fifa, broadcast.broadcast, people.family_member, metropolitan_transit.transit_line, tennis.tennis_tournament_champion, astronomy.orbital_relationship, music.record_label, cvg.cvg_developer, soccer.football_award, location.jp_prefecture, government.political_party, broadcast.radio_format, soccer.football_team, royalty.noble_person, location.uk_statistical_location, music.composition, broadcast.radio_station, amusement_parks.park, computer.software_license, sports.school_sports_team, location.in_district, tv.tv_network, medicine.disease, basketball.basketball_player, finance.currency, basketball.basketball_coach, geography.body_of_water, sports.pro_athlete, soccer.football_position, sports.sports_league_season, award.competition, cvg.cvg_publisher, visual_art.visual_artist, book.newspaper, fictional_universe.fictional_character, time.event, sports.sports_award_winner, medicine.drug, cricket.cricket_player, royalty.chivalric_order_member, award.award_category, film.film_character, interests.collection_category, sports.multi_event_tournament, architecture.architectural_structure_owner, location.region, military.military_unit, book.written_work, royalty.kingdom, location.province, government.u_s_congressperson, sports.sports_championship_event, award.award_presenting_organization, business.industry, architecture.venue, automotive.model, tv.tv_producer, film.producer, astronomy.asteroid, chemistry.chemical_compound, award.award_ceremony, book.periodical, astronomy.constellation, book.periodical_subject, tennis.tennis_tournament, award.recurring_competition, sports.boxer, cvg.computer_videogame, location.citytown, military.military_conflict, cricket.cricket_team, music.musical_group, amusement_parks.ride, tv.tv_actor, location.country, location.us_state, music.producer, book.periodical_publisher, music.instrument, computer.computer, people.person, meteorology.tropical_cyclone, aviation.aircraft_owner, government.government_office_or_title, biology.organism, tv.tv_program, film.director, government.government_agency, location.hud_county_place, boats.ship_type, soccer.football_team_manager, biology.organism_classification, protected_sites.listed_site, music.lyricist, music.music_video_director, medicine.muscle, baseball.baseball_team, language.human_language, astronomy.astronomical_discovery, award.hall_of_fame_inductee, film.film_genre, music.album, aviation.airline, medicine.anatomical_structure, music.musical_scale, film.writer, education.university, government.general_election, sports.sports_championship, broadcast.tv_station, metropolitan_transit.transit_system, sports.sports_position, medicine.drug_ingredient, american_football.football_team, exhibitions.exhibition_sponsor, film.film_festival_focus, baseball.baseball_position, sports.sports_team, fictional_universe.fictional_organization, business.brand, celebrities.celebrity, internet.website_owner, location.australian_local_government_area, baseball.baseball_league, music.genre, sports.tournament_event_competition, sports.golfer, medicine.medical_treatment, cvg.cvg_platform, computer.software, film.film, film.music_contributor, cricket.cricket_stadium, spaceflight.astronaut, boats.ship_class, government.us_president, business.defunct_company, basketball.basketball_team, metropolitan_transit.transit_stop, time.recurring_event, government.election, olympics.olympic_event_competition, royalty.monarch, architecture.building, automotive.company, book.magazine, location.australian_state, book.book, government.legislative_session, media_common.media_genre, tennis.tennis_player, astronomy.star_system_body, boats.ship, education.educational_institution, award.award_discipline, book.author, location.in_state, education.fraternity_sorority, geography.island, tv.tv_series_season, geography.river, tv.tv_genre, location.us_county, cvg.cvg_genre, sports.sports_award_type, military.military_post, tv.tv_personality, ice_hockey.hockey_team, law.court, business.consumer_company, tv.tv_writer, aviation.aircraft_model, music.composer, business.product_category, government.governmental_body, soccer.football_player, tv.tv_series_episode, organization.organization, martial_arts.martial_artist, location.location, tv.tv_character, business.customer, transportation.road, basketball.basketball_position, soccer.football_league, comic_books.comic_book_character, computer.operating_system, architecture.structure, organization.non_profit_organization, baseball.baseball_player, food.food, ice_hockey.hockey_position, people.ethnicity, military.military_person, organization.membership_organization, meteorology.tropical_cyclone_season, olympics.olympic_games, education.school, american_football.football_coach, military.rank, soccer.football_world_cup, religion.religion, law.invention, law.legal_case, internet.website, music.group_member, broadcast.genre, government.election_campaign, american_football.football_conference, location.administrative_division, education.field_of_study, business.consumer_product, business.business_operation. Output just the chosen type(s) (comma-separate multiple values) inside the list of {"answer": ["ANSWER"]}.

{"answer": ["government.general_election", "time.event"]}