History dataset
The world when you were born
Country-year indicators, historical prices, culture, events and notable births in four companion tables.
1930–202540 countries in archived export4 CSV files
Files & columns
Explore the original sources below for access to the underlying records. The file descriptions document the compiled snapshot used for analysis.
born_in_country_years.csv
View columns
- year
- country_code
- country_name_current
- country_name_historical
- country_population_millions
- country_life_expectancy
- country_gdp_per_capita_usd
- country_leader
- country_leader_title
- world_population_billions
- world_life_expectancy_global
- world_births_millions
- world_internet_users
- us_gdp_per_capita_usd
- gallon_gas_usd
- median_home_usd
- billboard_no1_song
- billboard_no1_artist
- oscar_best_picture
- technology_milestone
- top_computer
born_in_years.csv
View columns
- year
- world_population_billions
- world_births_millions
- world_life_expectancy_global
- world_countries_count
- world_internet_users
- economy_us_gdp_per_capita_usd
- economy_us_median_household_income_usd
- economy_us_inflation_pct
- economy_us_unemployment_pct
- economy_us_minimum_wage_usd
- economy_sp500_year_end
- economy_dow_jones_year_end
- economy_gold_oz_usd
- economy_oil_barrel_usd
- prices_us_gallon_gas_usd
- prices_us_gallon_milk_usd
- prices_us_dozen_eggs_usd
- prices_us_loaf_bread_usd
- prices_us_movie_ticket_usd
- prices_us_new_car_avg_usd
- prices_us_median_home_usd
- prices_us_first_class_stamp_cents
- prices_us_big_mac_usd
- technology_milestone
- technology_top_computer
- technology_top_computer_price_usd
- technology_avg_hard_drive_mb
- technology_mobile_subscribers_millions
- technology_notable_releases
- leaders_us_president
- leaders_uk_pm
- leaders_france_president
- leaders_germany_chancellor
- leaders_ussr_leader
- leaders_china_leader
- leaders_japan_pm
- leaders_australia_pm
- leaders_canada_pm
- leaders_brazil_president
- leaders_mexico_president
- leaders_un_secretary
- leaders_pope
- leaders_ireland_taoiseach
- culture_music_billboard_no1_song
- culture_music_billboard_no1_artist
- culture_music_grammy_record
- culture_music_grammy_record_artist
- culture_music_grammy_album
- culture_music_grammy_album_artist
- culture_music_uk_no1_jan
- culture_music_uk_no1_jan_artist
- culture_film_box_office_no1
- culture_film_box_office_no1_gross_m
- culture_film_oscar_best_picture
- culture_film_oscar_best_director
- culture_film_oscar_best_director_name
- culture_film_oscar_best_actor
- culture_film_oscar_best_actor_film
- culture_film_oscar_best_actress
- culture_film_oscar_best_actress_film
- world_events_count
- notable_births_count
- leaders_russia_leader
- leaders_india_pm
- leaders_south_korea_president
- culture_music_uk_no1_artist
born_in_world_events.csv
View columns
- year
- month
- event
born_in_notable_births.csv
View columns
- year
- month
- name
- field
Original sources
- Meplar Born-in experience ↗
The CSV package reshapes curated historical JSON into analysis tables.
How it was put together
- Flatten JSON into a country-year panel and companion tables for years, events and notable births.
- Keep country-specific, global and US-only fields separate in analysis.
What to keep in mind
- 1951 and 1953 are absent. Coverage varies by country and historical period.
- The archived CSV has 40 country codes; the current interactive JSON also includes Switzerland. These are different snapshots.
- Original field-level citations are not recorded. Validate historical series against their statistical sources before drawing conclusions.