From now until 2100, India and China will remain the most populous countries in the world, however China's population decline has already started, and it is on course to fall by around 50 percent in the 2090s; while India's population decline is projected to begin in the 2060s. Of the 10 most populous countries in the world in 2100, five will be located in Asia, four in Africa, as well as the United States. Rapid growth in Africa Rapid population growth across Africa will see the continent's population grow from around 1.5 billion people in 2024 to 3.8 billion in 2100. Additionally, unlike China or India, population growth in many of these countries is not expected to go into decline, and instead is expected to continue well into the 2100s. Previous estimates had projected these countries' populations would be much higher by 2100 (the 2019 report estimated Nigeria's population would exceed 650 million), yet the increased threat of the climate crisis and persistent instability is delaying demographic development and extending population growth. The U.S. as an outlier Compared to the nine other largest populations in 2100, the United States stands out as it is more demographically advanced, politically stable, and economically stronger. However, while most other so-called "advanced countries" are projected to see their population decline drastically in the coming decades, the U.S. population is projected to continue growing into the 2100s. This will largely be driven by high rates of immigration into the U.S., which will drive growth despite fertility rates being around 1.6 births per woman (below the replacement level of 2.1 births per woman), and the slowing rate of life expectancy. Current projections estimate the U.S. will have a net migration rate over 1.2 million people per year for the remainder of the century.

European countries are experiencing population decline and the tacit assumption in most analyses is that the decline may have detrimental welfare effects. In this paper we use a survey among the population in the Netherlands to discover whether population decline is always met with fear. A number of results stand out: population size preferences differ by geographic proximity: at a global level the majority of respondents favors a (global) population decline, but closer to home one supports a stationary population. Population decline is clearly not always met with fear: 31 percent would like the population to decline at the national level and they generally perceive decline to be accompanied by immaterial welfare gains (improvement environment) as well as material welfare losses (tax increases, economic stagnation). In addition to these driving forces it appears that the attitude towards immigrants is a very strong determinant at all geographical levels: immigrants seem to be a stronger fear factor than population decline.

In 2024, Germany was the leading EU country in terms of population, with around 85 million inhabitants. In 2050, approximately 89.2 million people will live in Germany, according to the forecast. See the total EU population figures for more information. The global population The global population is rapidly increasing. Between 1990 and 2015, it increased by around 2 billion people. Furthermore, it is estimated that the global population will have increased by another 1 billion by 2030. Asia is the continent with the largest population, followed by Africa and Europe. In Asia,the two most populous nations worldwide are located, China and India. In 2014, the combined population in China and India alone amounted to more than 2.6 billion people. for comparison, the total population in the whole continent of Europe is at around 741 million people. As of 2014, about 60 percent of the global population was living in Asia, with only approximately 10 percent in Europe and even less in the United States. Europe is the continent with the second-highest life expectancy at birth in the world, only barely surpassed by Northern America. In 2013, the life expectancy at birth in Europe was around 78 years. Stable economies and developing and emerging markets in European countries provide for good living conditions. Seven of the top twenty countries in the world with the largest gross domestic product in 2015 are located in Europe.

Total current population for Russia in 2025 is 143,494,210, a 0.32% decline from 2024.

<ul style='margin-top:20px;'>

<li>Total population for Russia in 2024 was <strong>143,957,079</strong>, a <strong>0.34% decline</strong> from 2023.</li>
<li>Total population for Russia in 2023 was <strong>144,444,359</strong>, a <strong>0.19% decline</strong> from 2022.</li>
<li>Total population for Russia in 2022 was <strong>144,713,314</strong>, a <strong>0.27% decline</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

Ratio of land consumption rate, to population growth rate according to the UN guidelines for Sustainable Development Goals indicator 11.3.1.

In 2024, the total population of Spain was around 48.38 million people. By 2029, it was forecast to grow up to 50.76 million inhabitants.

Population of Spain While Spain’s fertility rate has been relatively decreasing over the past decade, its year-over-year population growth has been increasing continuously since 2016. The collapse of the job and real estate markets may have led the Spanish to postpone having (more) kids or to migrate to other countries in search of a more stable economy, while inflow of migrates has increased . This theory is supported by data on the average age of Spain’s inhabitants; a look at the median age of Spain’s population from 1950 up until today shows that the Spanish get older on average – perhaps due to the aforementioned factors.

Economic recovery Speaking of Spain’s economy, economic key factors suggest that the country is still recovering from the crisis. Its gross domestic product (GDP) was in admirable shape prior to the collapse, but it still has not returned to its former glory. Only recently has Spain reported actual GDP growth since 2008. Nevertheless, during 2020 and the COVID-19 pandemic, Spain's GDP had a decrease of more than 11 percent. This in turn, led to an increase of the country’s unemployment rate after years of slowly but surely decreasing following an alarming peak of 26 percent in 2013. Future perspectives are, however, somewhat brighter, as GDP is forecast to maintain a positive growth rate at least until 2029, even exceeding two percentage points in 2025.

Series Name: Countries that have conducted at least one population and housing census in the last 10 years (1 = YES; 0 = NO)Series Code: SG_REG_CENSUSNRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.19.2: Proportion of countries that (a) have conducted at least one population and housing census in the last 10 years; and (b) have achieved 100 per cent birth registration and 80 per cent death registrationTarget 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countriesGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

This dataset, created by ODM, aggregates data from various sources to build out data relating to SDG indicators of interest for the Lower Mekong Region. It is updated on a regular basis. See also the following resources: - https://data.opendevelopmentmekong.net/dataset/sdg3-c-1-health-worker-density-by-type-of-occupation-per-10-000-population-for-lmcs - https://data.opendevelopmentmekong.net/dataset/sdg-3-8-2-proportion-of-population-with-large-household-expenditures-on-health-at-10-of-household-t - https://data.opendevelopmentmekong.net/dataset/sdg-8-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-12-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-4-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-10-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-5-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-1-available-data - https://data.opendevelopmentmekong.net/dataset/sdg-9-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-2-available-data - https://data.opendevelopmentmekong.net/dataset/population-and-proportion-in-urban-slums-lmcs-sdg11-1-1 - https://data.opendevelopmentmekong.net/dataset/data-on-sdg-7-tier-i-indicators-lmcs-only-all-custodian-agencies - https://data.opendevelopmentmekong.net/dataset/wash-dataset-1990-215 - https://data.opendevelopmentmekong.net/dataset/proportion-of-urban-population-living-in-slums - https://data.opendevelopmentmekong.net/dataset/population-density-from-1995-to-2013-thailand-myanmar-laos-vietnam-and-cambodia - https://data.opendevelopmentmekong.net/dataset/sdg-index-dashboards-report - https://data.opendevelopmentmekong.net/dataset/sdg-indicator-15-1-1-forest-area-as-a-proportion-of-total-land-area?type=dataset

Today, globally, women of childbearing age have an average of approximately 2.2 children over the course of their lifetime. In pre-industrial times, most women could expect to have somewhere between five and ten live births throughout their lifetime; however, the demographic transition then sees fertility rates fall significantly. Looking ahead, it is believed that the global fertility rate will fall below replacement level in the 2050s, which will eventually lead to population decline when life expectancy plateaus. Recent decades Between the 1950s and 1970s, the global fertility rate was roughly five children per woman - this was partly due to the post-WWII baby boom in many countries, on top of already-high rates in less-developed countries. The drop around 1960 can be attributed to China's "Great Leap Forward", where famine and disease in the world's most populous country saw the global fertility rate drop by roughly 0.5 children per woman. Between the 1970s and today, fertility rates fell consistently, although the rate of decline noticeably slowed as the baby boomer generation then began having their own children. Replacement level fertility Replacement level fertility, i.e. the number of children born per woman that a population needs for long-term stability, is approximately 2.1 children per woman. Populations may continue to grow naturally despite below-replacement level fertility, due to reduced mortality and increased life expectancy, however, these will plateau with time and then population decline will occur. It is believed that the global fertility rate will drop below replacement level in the mid-2050s, although improvements in healthcare and living standards will see population growth continue into the 2080s when the global population will then start falling.

In 2023, the total population of all ASEAN states amounted to an estimated 619.02 million inhabitants. The ASEAN (Association of Southeast Asian Nations) member countries are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. ASEAN opportunity The Association of Southeast Asian Nations was founded by five states (Thailand, Indonesia, the Philippines, Malaysia, and Singapore) in 1967 to improve economic and political stability and social progress among the member states. It was originally modelled after the European Union. Nowadays, after accepting more members, their agenda also includes an improvement of cultural and environmental conditions. ASEAN is now an important player on the global stage with numerous alliances and business partners, as well as more contenders wanting to join. The major player in the SouthIndonesia is not only a founding member of ASEAN, it is also its biggest contributor in terms of gross domestic product and is also one of the member states with a positive trade balance. In addition, it has the highest number of inhabitants by far. About a third of all people in the ASEAN live in Indonesia – and it is also one of the most populous countries worldwide. Among the ASEAN members, it is certainly the most powerful one, not just in numbers, but mostly due to its stable and thriving economy.

BackgroundThe birth rate is an important indicator of the health of the population. However, persistently low birth rate has become a pressing demographic challenge for many countries, including China. This has significant implications for sustainable population planning.MethodsThis study applied hot spot analysis and the spatiotemporal geographically weighted regression (GTWR) modeling, used panel data of 286 cities in China from 2012 to 2021 to explore the spatiotemporal heterogeneity of the relationship between the socioeconomic development and birth rate.ResultsThe research has found that 2017 was an important turning point in China’s demographic transition. The hot spot analysis reveals that the birth rate hot spots are characterized by a multipolar kernel distribution, shifting from spatial diffusion to convergence, with the cold spots mainly located in the northeast. And the GTWR modeling found that the relationship between socioeconomic development and birth rate varies and change dynamically over space and time. Key findings include: (1) the negative impact of GDP per capita on birth rates has intensified; (2) housing prices exhibit both wealth and crowding-out effects on birth rates, and there are obvious regional differences between the north and the south; (3) fiscal education expenditure on birth rates has the most pronounced income effect in the eastern region.ConclusionThis study adopts spatiotemporal perspective to reveal the spatiotemporal heterogeneity of the association between socioeconomic development and birth rate. It provides new evidence on the influence of macro factors on fertility in China. And emphasizes the importance of incorporating regional variations into population policy design.

This statistic shows the growth of Switzerland's population from 2013 to 2023, in comparison to the previous year. In 2023, Switzerland's population grew by approximately 1.26 percent compared to the previous year. See Switzerland's population figures for comparison. The Swiss population The Swiss population has been growing at a steady rate for the past few years; in general the country has experienced around a one percent population growth rate since the 1970s. Between 2004 and 2007, population growth was slightly below one percent, but has rebounded since then. This growth is supported by immigration, as the fertility rate is well below the replacement rate. The country’s strong and stable economy and the free movement of people within the European Union has helped attract foreigners. In 2015, the population of Switzerland was around 8.25 million and its foreign-born population amounted to 2.26 million people that same year, meaning that around 1 out of every four people in Switzerland are of foreign origin. But even if you are born in Switzerland, you are not automatically granted Swiss nationality, and many people who are of “foreign” origin were actually born in Switzerland but keep the nationality of their parents or do not go through what can be a lengthy process to obtain Swiss nationality. Another characteristic of the Swiss population is that Swiss people are getting older. Due to its high standard of living, Switzerland has one of the highest life expectancies in the world, and the median age of the population is now estimated at 42.3 years.

This dataset, created by ODM, aggregates data from various sources to build out data relating to SDG indicators of interest for the Lower Mekong Region. It is updated on a regular basis. See also the following resources: - https://data.opendevelopmentmekong.net/dataset/sdg3-c-1-health-worker-density-by-type-of-occupation-per-10-000-population-for-lmcs - https://data.opendevelopmentmekong.net/dataset/sdg-3-8-2-proportion-of-population-with-large-household-expenditures-on-health-at-10-of-household-t - https://data.opendevelopmentmekong.net/dataset/sdg-8-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-12-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-4-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-10-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-5-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-1-available-data - https://data.opendevelopmentmekong.net/dataset/sdg-9-dataset - https://data.opendevelopmentmekong.net/dataset/sdg-2-available-data - https://data.opendevelopmentmekong.net/dataset/population-and-proportion-in-urban-slums-lmcs-sdg11-1-1 - https://data.opendevelopmentmekong.net/dataset/data-on-sdg-7-tier-i-indicators-lmcs-only-all-custodian-agencies - https://data.opendevelopmentmekong.net/dataset/wash-dataset-1990-215 - https://data.opendevelopmentmekong.net/dataset/proportion-of-urban-population-living-in-slums - https://data.opendevelopmentmekong.net/dataset/population-density-from-1995-to-2013-thailand-myanmar-laos-vietnam-and-cambodia - https://data.opendevelopmentmekong.net/dataset/sdg-index-dashboards-report - https://data.opendevelopmentmekong.net/dataset/sdg-indicator-15-1-1-forest-area-as-a-proportion-of-total-land-area?type=dataset

CDH definitions.

The aim of the statistical operation Indicators of the 2030 Agenda for Sustainable Development is to make available to all social agents a set of statistical indicators, aligned with the Global indicator framework established by the United Nations, which will allow a /indic/ods.html">continuous monitoring for the Basque Country the progress towards the Sustainable Development Goals and Targets.

Series Name: Countries with death registration data that are at least 75 percent complete (1 = YES; 0 = NO)Series Code: SG_REG_DETH75NRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.19.2: Proportion of countries that (a) have conducted at least one population and housing census in the last 10 years; and (b) have achieved 100 per cent birth registration and 80 per cent death registrationTarget 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countriesGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Series Name: Proportion of countries with birth registration data that are at least 90 percent complete (percent)Series Code: SG_REG_BRTH90Release Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.19.2: Proportion of countries that (a) have conducted at least one population and housing census in the last 10 years; and (b) have achieved 100 per cent birth registration and 80 per cent death registrationTarget 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countriesGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

This is an assessment of pedestrian accessibility in the world's main urban centers, aggregated at country level. Indicators include the average walking time to different categories of destinations, as well as the proportion of inhabitants that can access each category of services within a 15 minutes walk. The data is produced and maintained by the UN's Sustainable Development Solutions Network (SDSN) as part of the SDG Transformation Center.Pedestrian accessibility is the extent to which the built environment supports walking access to destinations of interest. This measure is particularly useful for assessing spatial justice in cities, usually represented by underpriviledged communities which are pushed to live in deteriorated urban areas receiving a minor share of public investments and thus low levels of accessibility. Monitoring spatial indicators of pedestrian accessibility helps planners and policymakers evaluate the impacts of urban design and transport interventions and guides targeted interventions towards creating healthy, sustainable cities, and achieving the United Nations (UN) Sustainable Development Goals (SDGs).Data SourcesTwo main sources of data are behind this study. OpenStreetMap is used to collect data on pedestrian infrastructure and geographically allocated places of interest (POI): hospitals, schools, supermarkets, restaurants, schools, etc. Pedestrian infrastructure networks are returned by the OpenStreetMap API as networks of nodes and edges, where each node represents a street intersection and each edge represents a segment of road with walkable features. Data on population density for every city is retrieved from the European Commission's 2020 Global Human Settlement Layer (GHSL) . This data is retrieved in the form of a grid of 100m by 100m squares and their associated population density values covering the entire world.Geographical extentThe geographical extent of a particular city or region often varies according to different authorities and interpretations. Novel projects, such as the Global Human Settlements (GHS) Urban Centres Database (UCDB), seek to establish a consistent, shared geographic definition of “urban centres” globally. This study does not consider municipal boundaries for defining city borders. Rather, it considers "Functional Urban Areas" as defined by the OECD and the European Commission . The boundaries of Functional Urban Areas consider urbanization factors such as commuting flows and population density, and are less arbitrary than municipal boundaries. For this reason, cities presented here may have a different (and often bigger) shape expected.Accessibility analysisTo measure accessibility to services for each city, we perform a network analysis on the pedestrian street networks and POIs data to quantify and map accessibility to urban infrastructure at the street intersection level. For each 100m cell from the population grid data, the resulting "walking time" reflects the time that a person residing inside that cell would have to walk for, using the existing pedestrian infrastructure, to reach the first amenity from a given category of services. The analysis was performed using geopandas and pandana python packages. These calculations were performed for all cities where at least one POI could be identified for each square kilometer. This threshold is applied in order to enforce representativity and accuracy. These scores were then be generalized for each country, by taking the population weighted average of the accessibility score for each point in the population grid. Countries where less than 40% of the urban population is represented after applying the aforementioned thresholds were excluded from the final dataset.Code for generating these results is publicly available at: https://github.com/sdsna/sdg-accessibilityThis methodology was expanded from Nicoletti, L., Verma, T., Sirenko, M. (2022). Disadvantaged Communities Have Lower Access to Urban Infrastructure. Environment and Planning B: Urban Analytics and City Science, 0(0) and the CityAccessMap project.

Series Name: Proportion of countries with death registration data that are at least 75 percent complete (percent)Series Code: SG_REG_DETH75Release Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.19.2: Proportion of countries that (a) have conducted at least one population and housing census in the last 10 years; and (b) have achieved 100 per cent birth registration and 80 per cent death registrationTarget 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countriesGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

The aim of the statistical operation Indicators of the 2030 Agenda for Sustainable Development is to make available to all social agents a set of statistical indicators, aligned with the Global indicator framework established by the United Nations, which will allow a /indic/ods.html">continuous monitoring for the Basque Country the progress towards the Sustainable Development Goals and Targets.