Employment to population ratio, 15+, female (%) (modeled ILO estimate) in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) stood at 15.32% in 2025, according to World Bank. The latest value is down 0.02 percentage points from 15.34% in 2024. Ten years earlier, in 2015, the value was 16.94% (down 1.62 percentage points since). The highest value since 1991 was 17.18% in 2016, the lowest 13.3% in 1995.
Data source: World Bank · Unit: % · Category: Labor and Employment · Explore more indicators on EconDash
Employment to population ratio, 15+, female (%) (modeled ILO estimate), measured in %, reflects labor market conditions in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD), indicating the balance between available workers and job openings. It serves as a crucial signal of economic health, consumer spending capacity, and social stability. Labor market data typically includes multiple dimensions: unemployment rates, employment-to-population ratios, labor force participation, and wage growth. Each metric captures different aspects of job market dynamics — for example, the unemployment rate counts only those actively seeking work, while the participation rate reveals how many working-age people are engaged in the labor market. In Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD), labor statistics are gathered through household surveys, employer reports, and administrative records like unemployment benefit claims. Changes in Employment to population ratio, 15+, female (%) (modeled ILO estimate) often precede broader economic shifts: rising unemployment typically signals slowing economic activity, while tightening labor markets may foreshadow wage pressures and inflation.
Employment to population ratio, 15+, female (%) (modeled ILO estimate) in Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) stood at 15.32% in 2025, according to World Bank.
The latest value is down 0.02 percentage points from 15.34% in 2024. Ten years earlier, in 2015, the value was 16.94% (down 1.62 percentage points since).
The highest value since 1991 was 17.18% in 2016, the lowest 13.3% in 1995.
| Indicator | Employment to population ratio, 15+, female (%) (modeled ILO estimate) |
|---|---|
| Country | Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) |
| Category | Labor and Employment |
| Unit | % |
| Source | World Bank |
| Interactive chart | View on EconDash |
| API access | EconDash API documentation |
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World Bank. (2026). Employment to population ratio, 15+, female (%) (modeled ILO estimate) — Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) [Data set]. Retrieved November 13, 2026, from EconDash: https://econdash.org/chart/wdi-sl-emp-totl-sp-fe-zs/TMN. Original source: https://data.worldbank.org/indicator/SL.EMP.TOTL.SP.FE.ZS
World Bank. "Employment to population ratio, 15+, female (%) (modeled ILO estimate) — Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)." EconDash, 2026, https://econdash.org/chart/wdi-sl-emp-totl-sp-fe-zs/TMN. Accessed 13 Nov. 2026. Original source: https://data.worldbank.org/indicator/SL.EMP.TOTL.SP.FE.ZS.
World Bank. 2026. "Employment to population ratio, 15+, female (%) (modeled ILO estimate) — Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD)." EconDash. Accessed November 13, 2026. https://econdash.org/chart/wdi-sl-emp-totl-sp-fe-zs/TMN. Original source: https://data.worldbank.org/indicator/SL.EMP.TOTL.SP.FE.ZS.
@misc{econdash_wdi_sl_emp_totl_sp_fe_zs_tmn,
author = {{World Bank}},
title = {{Employment to population ratio, 15+, female (\%) (modeled ILO estimate) --- Middle East, North Africa, Afghanistan \& Pakistan (IDA \& IBRD)}},
howpublished = {EconDash},
year = {2026},
url = {https://econdash.org/chart/wdi-sl-emp-totl-sp-fe-zs/TMN},
note = {Accessed: 2026-11-13. Original source: https://data.worldbank.org/indicator/SL.EMP.TOTL.SP.FE.ZS}
}Browse indicators available for Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD). Click any indicator to view its interactive chart, compare with other countries, and download historical data.
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