Family Planning

Family Planning Unit Cost Database

Family Planning Unit Cost Database

A critical gap in the information needed for family planning policy, planning and program expansion is a centralized source of costing data that is easily accessible to policy analysts, country officials and implementing organizations. This Family Planning cost database provides planners an easy to access resource on the comparative costs of family planning methods and service delivery points. The data are available both in terms of user costs and costs per couple year of protection. The unit cost database is organized around five principal characteristics:

  • Method
  • Services
  • Country/Region
  • Service Delivery Points
  • Costs

Proximate Determinants of Fertility

Proximate Determinants of Fertility

The proximate determinants of fertility are the factors that act to reduce the fertility of the average women from the biological maximum, known as total fecundity (usually around 15), to the actual fertility experienced today. These factors include the proportion of women who are married or in union, the duration of the period after a birth when a women cannot become pregnant again (known as postpartum insusceptibility, PPI), the total abortion rate, sterility, and the use of contraception.


Stat-Shot

Stat-Shot

The RESPOND Project recently completed a secondary analysis of 40 Demographic and Health Surveys to explore the characteristics of users and nonusers of different FP methods. Indicators explored include parity, ideal number of children, wealth quintile, urban vs. rural location, and source of method, with methods categorized as traditional, short-acting, or long-acting and permanent. The findings from this analysis have been compiled into this user-friendly web-based tool.


Unmet Need for Contraception

Meeting Unmet Need for Contraception

The Millennium Development Goal 5b calls for all countries to meet the need for reproductive health by 2015. This display shows the current level of contraceptive use (CPR) for the chosen country, and the current amount of unmet need. You can change the target year by which unemt need is met and see how it affects the rate of increase in CPR.