About Us

The Family Planning Country Action Process Evaluation (FP CAPE) is a prospective, portfolio-level process evaluation that takes a complex systems look at a portfolio of family planning investments to improve modern contraceptive use.


FP CAPE is currently evaluating the Bill & Melinda Gates Foundation (BMGF) family planning portfolios in the Democratic Republic of the Congo (DRC) and Nigeria. Our project builds lasting partnerships and strong capacity in the countries we work. Explore the country portfolios and interactive timelines to learn more.

Democratic Republic of the Congo

  • The Democratic Republic of the Congo (DRC) is the fourth most populous nation in Africa and the 20th most populous in the world, with a population of almost 80 million people. The country’s population is projected to double in size to 120 million in 2030, and to reach 300 million by 2100. The DRC also has the world’s 23rd highest total fertility rate, with 4.6 children born per woman. Meanwhile, the country’s modern contraceptive prevalence rate (mCPR) was just under 8% among married women nationally in 2014, up slightly from just under 6% in 2007.


  • With a population of over 182 million people in 2015, Nigeria became the most populous country in Africa, and ranked number 7th world most populous in the world. With current rapid population growth, the country’s population is projected to reach 400 million by 2050 and 730 million by 2100. Nigeria also among the nations in the world with largest population of youth, with more than 40% of the population aged 14 years old or younger. The country’s birth rate is significantly higher than the death rate, with 37.3 births/ 1,000 population in 2016.

Evaluation Toolkit

FP CAPE draws on theory-based, realist evaluation approaches, and considers the complexity inherent in evaluating a large number of diverse program activities across different geographies and socio-political contexts. We use quantitative, qualitative and mixed-methods approaches to gather data and synthesize findings to test key theoretical assumptions.


Interactive Timeline


Sentinel Indicators & Quantitative Analyses


Bottom-up Inquiry