districts of peru
by population density
Table:
#
District
Province
Region
UBIGEO
Population density (/km²)

1
Breña
Lima
Lima
150105
Error: This is not a valid number. Please refer to the documentation at for correct input.

2
Surquillo
Lima
Lima
150141
Error: This is not a valid number. Please refer to the documentation at for correct input.

3
La Victoria
Lima
Lima
150115
Error: This is not a valid number. Please refer to the documentation at for correct input.

4
La Perla
Callao
Callao
070104
Error: This is not a valid number. Please refer to the documentation at for correct input.

5
Arequipa
Arequipa
Arequipa
040101
Error: This is not a valid number. Please refer to the documentation at for correct input.

6
Carmen de la Legua Reynoso
Callao
Callao
070103
Error: This is not a valid number. Please refer to the documentation at for correct input.

7
Florencia de Mora
Trujillo
La Libertad
130103
Error: This is not a valid number. Please refer to the documentation at for correct input.

8
Lince
Lima
Lima
150116
Error: This is not a valid number. Please refer to the documentation at for correct input.

9
Pueblo Libre
Lima
Lima
150121
Error: This is not a valid number. Please refer to the documentation at for correct input.

10
Bellavista
Callao
Callao
070102
Error: This is not a valid number. Please refer to the documentation at for correct input.

11
Los Olivos
Lima
Lima
150117
Error: This is not a valid number. Please refer to the documentation at for correct input.

12
Santa Anita
Lima
Lima
150137
Error: This is not a valid number. Please refer to the documentation at for correct input.

13
Rímac
Lima
Lima
150128
Error: This is not a valid number. Please refer to the documentation at for correct input.

14
San Martín de Porres
Lima
Lima
150135
Error: This is not a valid number. Please refer to the documentation at for correct input.

15
San Juan de Miraflores
Lima
Lima
150133
Error: This is not a valid number. Please refer to the documentation at for correct input.

16
Independencia
Lima
Lima
150112
Error: This is not a valid number. Please refer to the documentation at for correct input.

17
Magdalena del Mar
Lima
Lima
150120
Error: This is not a valid number. Please refer to the documentation at for correct input.

18
San Luis
Lima
Lima
150134
Error: This is not a valid number. Please refer to the documentation at for correct input.

19
El Agustino
Lima
Lima
150111
Error: This is not a valid number. Please refer to the documentation at for correct input.

20
Lima
Lima
Lima
150101
Error: This is not a valid number. Please refer to the documentation at for correct input.

For the table from the article 'districts of peru' – see 'by population density' on Wikipedia, select the relation that best describes the mapping between the highlighted columns from the relation options provided: tv.tv_program.regular_cast-tv.regular_tv_appearance.actor, sports.pro_athlete.teams-sports.sports_team_roster.position, sports.sports_facility.teams, location.country.languages_spoken, music.composer.compositions, award.award_category.category_of, location.country.official_language, film.actor.film-film.performance.film, award.award_ceremony.nominees-award.award_nomination.award_nominee, olympics.olympic_participating_country.athletes-olympics.olympic_athlete_affiliation.athlete, film.film.production_companies, location.location.contains, time.event.instance_of_recurring_event, government.governmental_jurisdiction.governing_officials-government.government_position_held.office_holder, broadcast.broadcast.area_served, sports.sports_championship_event.champion, sports.sports_award_winner.awards-sports.sports_award.team, basketball.basketball_player.player_statistics-basketball.basketball_player_stats.team, base.schemastaging.athlete_extra.salary-base.schemastaging.athlete_salary.team, base.schemastaging.organization_extra.phone_number-base.schemastaging.phone_sandbox.service_location, film.film.story_by, location.location.nearby_airports, cvg.computer_videogame.publisher, american_football.football_player.games-american_football.player_game_statistics.team, award.award_nominated_work.award_nominations-award.award_nomination.award_nominee, government.political_party.politicians_in_this_party-government.political_party_tenure.politician, sports.sports_team.league-sports.sports_league_participation.league, location.administrative_division.capital-location.administrative_division_capital_relationship.capital, music.album.artist, music.composition.composer, location.administrative_division.country, olympics.olympic_participating_country.medals_won-olympics.olympic_medal_honor.medalist, sports.sports_team.league-sports.sports_league_participation.from, film.film.music, award.award_category.nominees-award.award_nomination.award_nominee, government.politician.party-government.political_party_tenure.party, film.film.written_by, base.wikipedia_infobox.video_game.developer, baseball.baseball_player.position_s, film.film.country, people.person.places_lived-people.place_lived.location, american_football.football_player.position_s, tv.tv_character.appeared_in_tv_program-tv.regular_tv_appearance.actor, olympics.olympic_event_competition.medalists-olympics.olympic_medal_honor.medalist, film.film.directed_by, people.person.spouse_s-people.marriage.spouse, base.aareas.schema.administrative_area.administrative_parent, film.film.starring-film.performance.character, sports.sports_facility.home_venue_for-sports.team_venue_relationship.team, aviation.airport.serves, sports.sports_team.location, aviation.airline.hubs, base.culturalevent.event.entity_involved, baseball.baseball_team.league, award.award_category.nominees-award.award_nomination.ceremony, soccer.football_player.position_s, sports.pro_athlete.teams-sports.sports_team_roster.team, baseball.baseball_player.batting_stats-baseball.batting_statistics.team, music.artist.album, film.actor.film-film.performance.character, film.film.release_date_s-film.film_regional_release_date.film_release_region, location.country.capital, base.wikipedia_infobox.video_game.platforms, location.location.street_address-location.mailing_address.citytown, award.award_ceremony.awards_presented-award.award_honor.award_winner, education.educational_institution.athletics_brand, award.award_ceremony.nominees-award.award_nomination.nominated_for, award.award_winning_work.awards_won-award.award_honor.award_winner, film.film.language, award.award_nominee.award_nominations-award.award_nomination.nominated_f, tv.tv_actor.starring_roles-tv.regular_tv_appearance.character, award.award_nominated_work.award_nominations-award.award_nomination.ceremony, sports.sports_team.roster-sports.sports_team_roster.player, base.biblioness.bibs_location.country, location.capital_of_administrative_division.capital_of-location.administrative_division_capital_relationship.administrative_division, tv.tv_actor.starring_roles-tv.regular_tv_appearance.series, organization.organization.headquarters-location.mailing_address.country, cvg.computer_videogame.developer, soccer.football_player.statistics-soccer.football_player_stats.team, location.location.containedby, sports.sports_team.venue-sports.team_venue_relationship.venue, film.film.produced_by, sports.sports_league.teams-sports.sports_league_participation.team, government.politician.government_positions_held-government.government_position_held.district_represented, film.film.starring-film.performance.actor, olympics.olympic_athlete.medals_won-olympics.olympic_medal_honor.event, ice_hockey.hockey_player.hockey_position, film.film.genre, people.person.education-education.education.institution, tv.tv_program.original_network-tv.tv_network_duration.network, award.award_category.winners-award.award_honor.award_winner, people.deceased_person.place_of_death, people.person.parents, tv.tv_network.programs-tv.tv_network_duration.program, organization.organization.headquarters-location.mailing_address.state_province_region, military.military_person.service-military.military_service.military_force, olympics.olympic_athlete.country-olympics.olympic_athlete_affiliation.country, book.author.works_written, olympics.olympic_athlete.medals_won-olympics.olympic_medal_honor.country, location.hud_county_place.county, book.written_work.author, sports.sports_league_season.league, soccer.football_team.player_statistics-soccer.football_player_stats.player, military.military_combatant.military_conflicts-military.military_combatant_group.combatants, film.film.distributors-film.film_film_distributor_relationship.distributor, sports.sports_position.players-sports.sports_team_roster.position, sports.sports_team.sport, sports.sports_team.arena_stadium, award.award_category.winners-award.award_honor.ceremony, government.political_district.representatives-government.government_position_held.office_holder, sports.sports_position.players-sports.sports_team_roster.player, meteorology.tropical_cyclone.tropical_cyclone_season, award.award_ceremony.awards_presented-award.award_honor.honored_for, film.film_character.portrayed_in_films-film.performance.actor, organization.organization.headquarters-location.mailing_address.citytown, time.event.locations, film.director.film, tv.tv_program.country_of_origin, people.person.place_of_birth, people.person.nationality. Output the relation identifier(s) in the following JSON format {"answer": ["RELATION"]}; use commas between multiple relations.

{"answer": ["location.location.containedby"]}