Gender gap in the completion rate, upper secondary, urban — Value in Liberia
Liberia: Gender gap in the completion rate, upper secondary, urban — Value was 1.47 % in 2019. ◆ Volatile
Gender gap in the completion rate, upper secondary, urban — Value in Liberia, 2007–2019
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for gender gap in the completion rate, upper secondary, urban — value in Liberia is 1.47 %, measured in 2019.
That represents a change of down 90.8% on the previous year and down 60.6% over ten years.
Over the whole period, gender gap in the completion rate, upper secondary, urban — value in Liberia peaked at 16.06 % in 2016 and was at its lowest, -2.18 %, in 2007.
Liberia ranks 14th of 73 countries on this measure, in the top quarter.
Gender gap in the completion rate, upper secondary, urban — Value in Liberia, year by year
| Year | % | Change |
|---|---|---|
| 2007 | -2.18 % | — |
| 2008 | 3.73 % | -271.1% |
| 2013 | 10.06 % | +169.7% |
| 2016 | 16.06 % | +59.6% |
| 2019 | 1.47 % | -90.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.775 % | -2.18 % | 3.73 % | 2 |
| 2010s | 9.2 % | 1.47 % | 16.06 % | 3 |
Countries ranked near Liberia
More economy & growth data for Liberia
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 3.97 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 6.15 Percent per annum (2029)
- Agriculture, forestry, and fishing, value added (current LCU), annual 5.94 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current LCU), per 0.3265 current LCU per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current LCU), per 298.89 current LCU per person (2025)
- Agriculture, forestry, and fishing, value added (constant 2015 US$) 2.58 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (constant 2015 US$) 0.2899 constant 2015 US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (constant 2015 US$) 265.33 constant 2015 US$ per person (2025)
- Agriculture, forestry, and fishing, value added (constant LCU) 2.58 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (constant LCU), per 0.292 constant LCU per US$ of GDP (2025)
Frequently asked questions
- What is gender gap in the completion rate, upper secondary, urban — value in Liberia?
- Gender gap in the completion rate, upper secondary, urban — value in Liberia was 1.47 % in 2019, 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 Liberia?
- The highest recorded value was 16.06 % in 2016.
- What is the lowest gender gap in the completion rate, upper secondary, urban — value recorded in Liberia?
- The lowest recorded value was -2.18 % in 2007.
- How does Liberia rank for gender gap in the completion rate, upper secondary, urban — value?
- Liberia ranks 14th out of 73 countries with data for 2019.
- Is gender gap in the completion rate, upper secondary, urban — value rising or falling in Liberia?
- Over the last ten years it is down 60.6%. The long-run trend across the full record is volatile.
- Where does this Liberia 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 — 5 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.