Bungoma Population Pyramid Age Groups - 2009

Population by age

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

Embu Pop Pyramid Age Groups - 2009

Bugoma population by age

Narok Pop Pyramid Age Groups - 2009

Kisii Pop Pyramid Age Groups - 2009

Age Distribution of males and females in Bomet County

Estimates of total number of people per grid square broken down by sex and age groupings (including 0-1 and by 5-year up to 80+) in 2016. The dataset is available to download in Geotiff format at a resolution of 1km. The projection is Geographic Coordinate System, WGS84. The units are estimated number of male/female in each age group per grid square. The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038/sdata.2017.89 (2017) Recommended citationWorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00654

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2006 for ArmeniaThe dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male/female in each age group per grid square.The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038/sdata.2017.89 (2017)Filenames: Example - afg_f_05_2000.tif People per pixel (PPP) for female age group 5 to 9 years (f_05) in Afghanistan for year 2000.For other datasets, m = male, 00 = age group 0 to 12months, 01 = age group 1 to 4 years, 80 = age 80 years and over

Kisumu Pop Pyramid Age Groups - 2009

Migori Pop Pyramid Age Groups - 2009

Taita Taveta Pop Pyramid Age Groups - 2009

Kwale Pop Pyramid Age Groups - 2009

Estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 80+) in 2014 for ArmeniaThe dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator) . The projection is Geographic Coordinate System, WGS84. The units are estimated number of male/female in each age group per grid square.The mapping approach is Pezzulo, C. et al. Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Sci. Data 4:170089 doi:10.1038/sdata.2017.89 (2017)Filenames: Example - afg_f_05_2000.tif People per pixel (PPP) for female age group 5 to 9 years (f_05) in Afghanistan for year 2000.For other datasets, m = male, 00 = age group 0 to 12months, 01 = age group 1 to 4 years, 80 = age 80 years and over

Turkana Pop Pyramid Age Groups - 2009

Kitui Pop Pyramid Age Groups - 2009

Age Distribution of males and females in Kericho County

Projections estimate that the population in Italy will decrease in the following years. In January 2025, the Italian population added up to 59 million people, but in 2030 Italians will be 58 million individuals. Twenty years later, the population will be around 52 million people. Low birth rate and old population The birth rate in Italy has constantly dropped in the last years. In 2023, 6.4 children were born per 1,000 inhabitants, three babies less than in 2002. Nationwide, the highest number of births was registered in the southern regions, whereas central Italy had the lowest number of children born every 1,000 people. More specifically, the birth rate in the south stood at 7 infants, while in the center it was equal to 5.9 births. Consequently, the population in Italy has aged over the last decade. Between 2002 and 2024, the age distribution of the Italian population showed a growing share of people aged 65 years and older. As a result, the share of young people decreased. The European exception Similarly, the population in Europe is estimated to decrease in the coming years. In 2024, there were 740 million people living in Europe. In 2100, the figure is expected to drop to 586 million inhabitants. However, projections of the world population suggest that Europe might be the only continent experiencing a population decrease. For instance, the population in Africa could grow from 1.41 billion people in 2022 to 3.92 billion individuals in 2100, the fastest population growth worldwide.

In 2023, just under 42 percent of Sub-Saharan Africa's population was below the age of 15; in contrast, this figure was just 18 percent in Europe & Central Asia and in North America. Across these regions, the share of the population aged 65 and over inversely correlated with the younger population, in that the regions with the largest share aged under 15 had the smallest share aged over 64, and vice versa. For most regions, the share of the population aged between 15 and 64 years ranged between 64 and 65 percent, except for Sub-Saharan Africa where it was below 56 percent. These trends can largely be explained by looking at global demographic development.