Gender gap in earnings of employees in urban areas — Value — All age in Türkiye
Türkiye: Gender gap in earnings of employees in urban areas — Value — All age was -0.04 % in 2013. ▲ Rising
Gender gap in earnings of employees in urban areas — Value — All age in Türkiye, 2009–2013
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
Türkiye recorded -0.04 % for gender gap in earnings of employees in urban areas — value — all age in 2013. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 50.0% on the previous year and up 63.6% over five years.
Gender gap in earnings of employees in urban areas — Value — All age in Türkiye, year by year
| Year | % | Change |
|---|---|---|
| 2009 | -0.11 % | — |
| 2010 | -0.1 % | -9.1% |
| 2011 | -0.09 % | -10.0% |
| 2012 | -0.08 % | -11.1% |
| 2013 | -0.04 % | -50.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.11 % | -0.11 % | -0.11 % | 1 |
| 2010s | -0.0775 % | -0.1 % | -0.04 % | 4 |
Countries ranked near Türkiye
- 1 Republic of Moldova 0.1 % compare
- 1 Uganda 0.49 %
- 1 Viet Nam 0.1 % compare
- 2 Rwanda 0.35 %
- 3 Bolivia (Plurinational State of) 0.06 % compare
- 3 Mali 0.31 %
- 4 Armenia 0.22 % compare
- 5 India 0.18 %
- 5 Mongolia 0.18 %
- 5 United Republic of Tanzania -0.08 % compare
- 6 Timor-Leste -0.47 % compare
- 7 Chile 0.17 % compare
- 7 Namibia 0.17 %
More economy & growth data for Türkiye
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 2.98 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 3.48 Percent per annum (2029)
- Gross Fixed Capital Formation — Annual growth US$, 2015 prices 3.87 % (2024)
- Gross Fixed Capital Formation — Annual growth US$ 15.14 % (2024)
- Gross Fixed Capital Formation — Annual growth Standard Local 3.87 % (2024)
- Gross Fixed Capital Formation — Annual growth Standard Local Currency 59.13 % (2024)
- Gross Fixed Capital Formation — Share of GDP Standard Local Currency 25.09 % (2024)
- Gross Fixed Capital Formation — Share of GDP Standard Local Currency 31 % (2024)
- Gross Fixed Capital Formation — Share of GDP US$, 2015 prices 25.09 % (2024)
- Gross Fixed Capital Formation — Share of GDP US$ 31 % (2024)
Frequently asked questions
- What is gender gap in earnings of employees in urban areas — value — all age in Türkiye?
- Gender gap in earnings of employees in urban areas — value — all age in Türkiye was -0.04 % in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in earnings of employees in urban areas — value — all age recorded in Türkiye?
- The highest recorded value was -0.04 % in 2013.
- What is the lowest gender gap in earnings of employees in urban areas — value — all age recorded in Türkiye?
- The lowest recorded value was -0.11 % in 2009.
- How does Türkiye rank for gender gap in earnings of employees in urban areas — value — all age?
- Türkiye ranks 4th out of 6 countries with data for 2013.
- Where does this Türkiye data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gender gap in earnings of employees in urban areas — Value — All age ranges or no breakdown by age — National. 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.