Suchergebnisse

Fertility rates and population growth influence economic development. The marked declines in fertility seen in some developing nations have been accompanied by slowing population growth, which in turn provided a window of opportunity for rapid economic growth. For many sub-Saharan African nations, this window has not yet opened because fertility rates have not declined as rapidly there as elsewhere. Fertility rates in many sub-Saharan African countries are high: the total rate for the region is estimated to be 5.1 births per woman, and rates that had begun to decline in many countries in the region have stalled. High rates of fertility in these countries are likely to contribute to continued rapid population growth: the United Nations projects that the region's population will increase by 1.2 billion by 2050, the highest growth among the regions for which there are projections. In June 2015, the Committee on Population organized a workshop to explore fertility trends and the factors that have influenced them. The workshop committee was asked to explore history and trends related to fertility, proximate determinants and other influences, the status and impact of family planning programs, and prospects for further reducing fertility rates. This study will help donors, researchers, and policy makers better understand the factors that may explain the slow pace of fertility decline in this region, and develop methods to improve family planning in sub-Saharan Africa

The Earth's population, currently 7.2 billion, is expected to rise at a rapid rate over the next 40 years. Current projections state that the Earth will need to support 9.6 billion people by the year 2050, a figure that climbs to nearly 11 billion by the year 2100. At the same time, most people envision a future Earth with a greater average standard of living than we currently have - and, as a result, greater consumption of our planetary resources. How do we prepare our planet for a future population of 10 billion? How can this population growth be achieved in a manner that is sustainable from an economic, social, and environmental perspective?

The U.S. population is aging. Social Security projections suggest that between 2013 and 2050, the population aged 65 and over will almost double, from 45 million to 86 million. One key driver of population aging is ongoing increases in life expectancy. Average U.S. life expectancy was 67 years for males and 73 years for females five decades ago; the averages are now 76 and 81, respectively. It has long been the case that better-educated, higher-income people enjoy longer life expectancies than less-educated, lower-income people. The causes include early life conditions, behavioral factors (such as nutrition, exercise, and smoking behaviors), stress, and access to health care services, all of which can vary across education and income. Our major entitlement programs--Medicare, Medicaid, Social Security, and Supplemental Security Income--have come to deliver disproportionately larger lifetime benefits to higher-income people because, on average, they are increasingly collecting those benefits over more years than others. This report studies the impact the growing gap in life expectancy has on the present value of lifetime benefits that people with higher or lower earnings will receive from major entitlement programs. The analysis presented in The Growing Gap in Life Expectancy by Income goes beyond an examination of the existing literature by providing the first comprehensive estimates of how lifetime benefits are affected by the changing distribution of life expectancy. The report also explores, from a lifetime benefit perspective, how the growing gap in longevity affects traditional policy analyses of reforms to the nation?s leading entitlement programs. This in-depth analysis of the economic impacts of the longevity gap will inform debate and assist decision makers, economists, and researchers

Establishing equitable terms for data sharing -- Exploring the ethical imperative for data sharing -- Enabling data discoverability, linkage, and re-use -- Next steps: maximizing the use of data to improve public health -- Appendix A: workshop agenda -- Appendix B: participants.