Burkina Faso vs Zimbabwe

Burkina Faso vs Zimbabwe: Girls in primary school

Girls in primary school: 77.7% in Burkina Faso in 2018 and 89.4% in Zimbabwe in 2003, by Our World in Data estimates. In 2003 the value was higher in Zimbabwe, by 56.4 percentage points, or 2.71 times that in Burkina Faso.

Watch it change on the map

% of girls of primary-school age · Our World in Data

Burkina Faso vs Zimbabwe: Girls in primary schoolGirls in primary school: 77.7% in Burkina Faso in 2018 and 89.4% in Zimbabwe in 2003, by Our World in Data estimates. In 2003 the value was higher in Zimbabwe, by 56.4 percentage points, or 2.71 times that in Burkina Faso.
Burkina FasoZimbabweWorld

What the numbers say

  • Zimbabwe has been higher in every year both have figures for since 1998.
  • The world as a whole: 83.5% in 2003.

Every year

% of girls of primary-school age · Our World in Data

YearBurkina FasoZimbabweWorld
201877.7–88.2
201775.5–88.2
201674.1–88.3
201568.1–88.2
201466.5–88.3
201365.3–88.2
201264–88.2
201162.8–88.1
201057.4–87.9
200958.9–87.9
200855.5–87.6
200749.1–87.2
200643.7–86
200540.5–85.4
200435.9–84.7
20033389.483.5
200231.189.981.4
200131.192.681
2000308980.7
19992987.579.9
199828.385.678.9
1997––78.1
1996––77.9
199524.9–78
199423.7–78.3
199322.7–78
199221.8–77.7
199121.4–77.8
1990––77.3
198919.7–77.6
198819.3–76.6
198718.8–75.8
198617.7–75.3
198516–74
1980–44.575.8
1975–52.372.9
1970–51.669
1965–72.766
1960–6863.1
1955–89.657.4
1950–75.451.4
1945–67.243.5
1940–5940
1935–50.838.2
1930–42.536.4
1925–34.333
1920–26.130.5
1915–17.829.2
1910–9.628.1
1905–5.225.1
1900–2.423.3
1895–0.821.8
1890–020
1885–019
1880–017.2
1875–015.7
1870–013.2
1865–010.6
1860–09.3
1855–08
1850–06.8
1845–05.9
1840–05.2
1835–04.5
1830–04
1825–03.5
1820–03.1

Each country on its own

Good to know

  • The share of girls of primary-school age who are enrolled in school.
  • Source: Our World in Data, joining historical estimates to the World Bank’s.
  • Ranks count the 97 countries with a value in 2012, highest first.
  • The faint line is the world as a whole, as the same source counts it.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

Burkina Faso vs Zimbabwe

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment