Family Planning-Sustainable Development Goals (FP-SDGs) Model
Ensuring universal access to family planning has been identified as a key priority for realizing the Sustainable Development Goals (SDGs), and as one of the most cost-effective SDG targets. Amidst uncertain donor funding, and an increased need for domestic investment, the Health Policy Plus project developed the Family Planning-Sustainable Development Goals (FP-SDGs) Model, which allows users to simulate the effects of family planning on a variety of health and non-health SDG indicators. Projected SDG outcomes include water and sanitation services, poverty, food security, child stunting, education, income, and child labor, and more.
The FP-SDGs Model is an evidence-based advocacy tool that projects medium- and long-term effects of three different family planning scenarios, capturing the significant impact that contraceptive use has on SDG achievement. The model can be applied in any country, and allows users to design multiple scenarios to show how investments in family planning, education, and the economy can accelerate progress toward the SDGs. By showcasing the benefits of contraceptive use related to health, society, and the economy, the model provides evidence that supports investments in family planning at national and subnational levels.
Results from country-level applications of the model enable users to:
- Make the case for family planning financial investments and policy and programmatic improvements
- Mainstream family planning across development sectors
The FP-SDGs model is free and available to everyone. All FP-SDGs model users should credit the Health Policy Plus project using the following suggested citation: Health Policy Plus. 2018. Family Planning-Sustainable Development Goals Model. Washington, DC: Palladium, Health Policy Plus.
HP+ does not verify the results of applications performed independently, and results should be presented as estimates. The project kindly requests that anyone using the model inform the project by emailing email@example.com, so that we better understand the model's reach and impact. Users are also welcome to submit comments and suggestions to improve the model to the same address.