Congo, Rep.'s tertiary education, academic staff (% female) was 13.27% in 2017, the latest year in the World Bank's World Development Indicators. That is up 6 percentage points from 7.27% in 2012.
Key figures
| Value | Year | |
|---|---|---|
| Latest | 13.27% | 2017 |
| Five years earlier | 7.27% | 2012 |
| Highest | 30.6% | 1972 |
| Lowest | 4.96% | 2000 |
| Average since 2009 | 8.05% | 2009–2017 |
| First recorded | 20.51% | 1971 |
Over five years it is up 6 percentage points from 7.27% in 2012. Since 1971 it is down 7.25 percentage points from 20.51% in 1971. The World Bank has no value for 25 of the years in between; the chart leaves those gaps open rather than joining across them.
What the numbers say
On record, the biggest yearly rise was 10.08 percentage points in 1972 and the biggest yearly fall was 12.04 percentage points in 1975. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
How it compares
See how every economy compares in the full ranking.
| Value | Year | |
|---|---|---|
| Congo, Rep. | 13.27% | 2017 |
| World | 43.85% | 2024 |
| Sub-Saharan Africa | 25.63% | 2021 |
| Lower middle income | 42.97% | 2024 |
Closest to Congo, Rep. in the 2017 ranking
- Tajikistan — 1st of 2: 37.33%
What this measures
Tertiary education, academic staff (% female) is the share of female academic staff in tertiary education.
Limitations: The indicator measures the level of gender representation in the teaching profession, rather than the effectiveness and quality of teaching.
Regional and income-group figures are computed by the World Bank as a weighted average.
All 22 values
| Year | Tertiary education, academic staff (% female) |
|---|---|
| 2017 | 13.27 |
| 2016 | no data |
| 2015 | no data |
| 2014 | no data |
| 2013 | no data |
| 2012 | 7.27 |
| 2011 | 6.63 |
| 2010 | no data |
| 2009 | 5.04 |
| 2008 | no data |
| 2007 |
Tertiary education, academic staff (% female) in nearby economies
- Benin — 20.13% (2018)
- Botswana — 41.52% (2023)
- Burkina Faso — 9.6% (2024)
- Burundi — 14.52% (2025)
- Cabo Verde — 39.08% (2018)
- Cameroon — 26.79% (2024)
- Chad — 7.88% (2020)
- Côte d'Ivoire — 14.01% (2024)
- Eritrea — 13.77% (2016)
- Eswatini — 41.99% (2015)
More education data for Congo, Rep.
- Primary school starting age (years) — 6 (2025)
- Primary education, duration (years) — 6 (2025)
- Lower secondary school starting age (years) — 12 (2025)
- Secondary education, duration (years) — 7 (2025)
- School enrollment, primary (gross), gender parity index (GPI) — 0.97 (2018)
- Primary education, pupils — 880,625 (2023)
- School enrollment, primary (% gross) — 87.88% (2023)
- School enrollment, primary, female (% gross) — 86.85% (2023)
- School enrollment, primary, male (% gross) — 88.89% (2023)
- Primary education, teachers
Reading data like this
Questions people ask
- What is Congo, Rep.'s tertiary education, academic staff (% female)?
- 13.27% in 2017, according to the World Bank (World Development Indicators).
- How has it changed since 1971?
- It is down 7.25 percentage points from 20.51% in 1971. The highest value was 30.6% in 1972 and the lowest 4.96% in 2000.
- Where does this data come from?
- The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API..
Source
World Bank, World Development Indicators, indicator SE.TER.TCHR.FE.ZS, licensed CC BY 4.0. Original source: Data API, UN Educational, Scientific and Cultural Organization (UNESCO), uri: https://databrowser.uis.unesco.org/resources, note: The data are obtained through the UIS API. Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.
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