R: World Population Data.

world_pop

R Documentation

World Population Data.

Description

From World Bank, population 1960-2020

Usage

world_pop

Format

A data frame with 216 rows and 62 variables.

country: Name of country.
year_1960: population in 1960.
year_1961: population in 1961.
year_1962: population in 1962.
year_1963: population in 1963.
year_1964: population in 1964.
year_1965: population in 1965.
year_1966: population in 1966.
year_1967: population in 1967.
year_1968: population in 1968.
year_1969: population in 1969.
year_1970: population in 1970.
year_1971: population in 1971.
year_1972: population in 1972.
year_1973: population in 1973.
year_1974: population in 1974.
year_1975: population in 1975.
year_1976: population in 1976.
year_1977: population in 1977.
year_1978: population in 1978.
year_1979: population in 1979.
year_1980: population in 1980.
year_1981: population in 1981.
year_1982: population in 1982.
year_1983: population in 1983.
year_1984: population in 1984.
year_1985: population in 1985.
year_1986: population in 1986.
year_1987: population in 1987.
year_1988: population in 1988.
year_1989: population in 1989.
year_1990: population in 1990.
year_1991: population in 1991.
year_1992: population in 1992.
year_1993: population in 1993.
year_1994: population in 1994.
year_1995: population in 1995.
year_1996: population in 1996.
year_1997: population in 1997.
year_1998: population in 1998.
year_1999: population in 1999.
year_2000: population in 2000.
year_2001: population in 2001.
year_2002: population in 2002.
year_2003: population in 2003.
year_2004: population in 2004.
year_2005: population in 2005.
year_2006: population in 2006.
year_2007: population in 2007.
year_2008: population in 2008.
year_2009: population in 2009.
year_2010: population in 2010.
year_2011: population in 2011.
year_2012: population in 2012.
year_2013: population in 2013.
year_2014: population in 2014.
year_2015: population in 2015.
year_2016: population in 2016.
year_2017: population in 2017.
year_2018: population in 2018.
year_2019: population in 2019.
year_2020: population in 2020.

Source

World Bank

Examples

library(dplyr)
library(ggplot2)
library(tidyr)

# List percentage of population change from 1960 to 2020
world_pop |>
  mutate(percent_change = round((year_2020 - year_1960) / year_2020 * 100, 2)) |>
  mutate(rank_pop_change = round(rank(-percent_change)), 0) |>
  select(rank_pop_change, country, percent_change) |>
  arrange(rank_pop_change)

# Graph population in millions by decade for specified countries
world_pop |>
  select(
    country, year_1960, year_1970, year_1980, year_1990,
    year_2000, year_2010, year_2020
  ) |>
  filter(country %in% c("China", "India", "United States")) |>
  pivot_longer(
    cols = c(year_1960, year_1970, year_1980, year_1990, year_2000, year_2010, year_2020),
    names_to = "year",
    values_to = "population"
  ) |>
  mutate(year = as.numeric(gsub("year_", "", year))) |>
  ggplot(aes(year, population, color = country)) +
  geom_point() +
  geom_smooth(method = "loess", formula = "y ~ x") +
  labs(
    title = "Population",
    subtitle = "by Decade",
    x = "Year",
    y = "Population (in millions)",
    color = "Country"
  )