Gender gap in the completion rate, upper secondary, urban — Value in Cameroon
Cameroon: Gender gap in the completion rate, upper secondary, urban — Value was 5.67 % in 2018. ▼ Falling
Gender gap in the completion rate, upper secondary, urban — Value in Cameroon, 2004–2018
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2018, gender gap in the completion rate, upper secondary, urban — value in Cameroon stood at 5.67 %.
That represents a change of up 208.2% over ten years.
Over the whole period, gender gap in the completion rate, upper secondary, urban — value in Cameroon peaked at 7.83 % in 2005 and was at its lowest, 1.84 %, in 2006.
Cameroon ranks 8th of 73 countries on this measure, in the top 10%.
Gender gap in the completion rate, upper secondary, urban — Value in Cameroon, year by year
| Year | % | Change |
|---|---|---|
| 2004 | 5.31 % | — |
| 2005 | 7.83 % | +47.5% |
| 2006 | 1.84 % | -76.5% |
| 2011 | 6.27 % | +240.8% |
| 2014 | 3.12 % | -50.2% |
| 2018 | 5.67 % | +81.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 4.99 % | 1.84 % | 7.83 % | 3 |
| 2010s | 5.02 % | 3.12 % | 6.27 % | 3 |
Countries ranked near Cameroon
More economy & growth data for Cameroon
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 2.05 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 4.53 Percent per annum (2029)
- Manufacturing, value added (current US$), per unit of GDP 0.1457 current US$ per US$ of GDP (2025)
- Manufacturing, value added (current US$), per capita 287.32 current US$ per person (2025)
- Manufacturing, value added (current LCU), per unit of GDP 84.77 current LCU per US$ of GDP (2025)
- Manufacturing, value added (current LCU), per capita 167,202 current LCU per person (2025)
- Manufacturing, value added (constant 2015 US$), per unit of GDP 0.108 constant 2015 US$ per US$ of GDP (2025)
- Manufacturing, value added (constant 2015 US$), per capita 213.04 constant 2015 US$ per person (2025)
- Manufacturing, value added (constant LCU), per capita 122,171 constant LCU per person (2025)
- Industry (including construction), value added (current US$), annual 17.9 % change on previous year (2025)
Frequently asked questions
- What is gender gap in the completion rate, upper secondary, urban — value in Cameroon?
- Gender gap in the completion rate, upper secondary, urban — value in Cameroon was 5.67 % in 2018, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in the completion rate, upper secondary, urban — value recorded in Cameroon?
- The highest recorded value was 7.83 % in 2005.
- What is the lowest gender gap in the completion rate, upper secondary, urban — value recorded in Cameroon?
- The lowest recorded value was 1.84 % in 2006.
- How does Cameroon rank for gender gap in the completion rate, upper secondary, urban — value?
- Cameroon ranks 8th out of 73 countries with data for 2018.
- Is gender gap in the completion rate, upper secondary, urban — value rising or falling in Cameroon?
- Over the last ten years it is up 208.2%. The long-run trend across the full record is falling.
- Where does this Cameroon data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gender gap in the completion rate, upper secondary, urban — Value — All age ranges or no breakdown by age — Urban. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 6 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The Suite of Gender Indicators presents a set of indicators relevant to agrifood systems that are disaggregated by sex, with the aim of highlighting gender differences across agrifood systems. The initial set of indicators is based on those used in FAO’s 2023 Status of Women in Agrifood Systems (SWAFS) report and on the recommendations of an expert consultation held in December 2023, and covers key dimensions including economic participation, governance, agency, social norms, assets and services, education, health, and nutrition. Indicator selection was informed by expert judgment and by the availability of data with sufficient geographic and temporal coverage to enable meaningful comparisons across regions and over time. While most indicators are produced and published by FAO and other international organizations, the objective of this domain is to provide a one-stop shop for sex-disaggregated data on agrifood systems.