Saint-Marin

The datasets are composed by baseline population projections and the following sensitivity tests: •           Lower fertility; •           Lower mortality; •           Higher migration; •           Lower migration; •           No migration. For each of them, data is available as follows: •           Projected population on 1 January by age and sex, and by single year time interval; •           Assumptions on future age-specific fertility rates, age-specific mortality rates and international net migration levels (including statistical adjustment); •           Corresponding approximated values of the life expectancy by age and sex. Moreover, for the baseline projections, the following demographic balances and indicators are available: •           Total numbers of the projected live births and deaths; •           Projected population structure indicators: proportions of broad age groups in total population, age dependency ratios and median age of the population. The time horizon covered is: •           From 2015 to 2081 for the projected population; and •           From 2015 to 2080 for the assumptions dataset.

The datasets are composed by baseline population projections and the following sensitivity tests: •           Lower fertility; •           Lower mortality; •           Higher migration; •           Lower migration; •           No migration. For each of them, data is available as follows: •           Projected population on 1 January by age and sex, and by single year time interval; •           Assumptions on future age-specific fertility rates, age-specific mortality rates and international net migration levels (including statistical adjustment); •           Corresponding approximated values of the life expectancy by age and sex. Moreover, for the baseline projections, the following demographic balances and indicators are available: •           Total numbers of the projected live births and deaths; •           Projected population structure indicators: proportions of broad age groups in total population, age dependency ratios and median age of the population. The time horizon covered is: •           From 2015 to 2081 for the projected population; and •           From 2015 to 2080 for the assumptions dataset.

The datasets are composed by baseline population projections and the following sensitivity tests: •           Lower fertility; •           Lower mortality; •           Higher migration; •           Lower migration; •           No migration. For each of them, data is available as follows: •           Projected population on 1 January by age and sex, and by single year time interval; •           Assumptions on future age-specific fertility rates, age-specific mortality rates and international net migration levels (including statistical adjustment); •           Corresponding approximated values of the life expectancy by age and sex. Moreover, for the baseline projections, the following demographic balances and indicators are available: •           Total numbers of the projected live births and deaths; •           Projected population structure indicators: proportions of broad age groups in total population, age dependency ratios and median age of the population. The time horizon covered is: •           From 2015 to 2081 for the projected population; and •           From 2015 to 2080 for the assumptions dataset.

The datasets are composed by baseline population projections and the following sensitivity tests: •           Lower fertility; •           Lower mortality; •           Higher migration; •           Lower migration; •           No migration. For each of them, data is available as follows: •           Projected population on 1 January by age and sex, and by single year time interval; •           Assumptions on future age-specific fertility rates, age-specific mortality rates and international net migration levels (including statistical adjustment); •           Corresponding approximated values of the life expectancy by age and sex. Moreover, for the baseline projections, the following demographic balances and indicators are available: •           Total numbers of the projected live births and deaths; •           Projected population structure indicators: proportions of broad age groups in total population, age dependency ratios and median age of the population. The time horizon covered is: •           From 2015 to 2081 for the projected population; and •           From 2015 to 2080 for the assumptions dataset.

Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.

GHG emissions data from cultivation of organic soils are those associated with nitrous oxide gas from cultivated organic soils under cropland (item: cropland organic soils) and grassland (item: grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by the two aggregated. Implied emission factor for N2O as well activity data (areas) are also provided.

Financing Global Health 2019: Tracking Health Spending in a Time of Crisis This edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report, the 11th in the series, provides up-to-date estimates of domestic spending on health, development assistance for health, spending for HIV/AIDS, tuberculosis, and malaria, as well as projections of future health spending. Our health spending tracking and estimates show patterns between income groups and regions over time, highlight variations in how much each country spends on health, and identify where more resources are needed most. Financing Global Health 2020: Tracking Health Spending in a Time of Crisis This edition of IHME's annual Financing Global Health report, the 12th in the series, provides updated estimates of spending on health, development assistance for health, and projections of future health spending. This year's report specifically highlights changes in health spending during a global pandemic and includes dedicated sections on COVID-19, as well as in-depth analysis of pandemic preparedness spending and seven other health focus areas.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.

Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided

Greenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided.

The FAOSTAT domain Organic soils consist of nitrous oxide (N2O) and carbon dioxide (CO2) emissions associated with the drainage of organic soils ? using histosols as proxy ? for agriculture. Data are computed geospatially, using the Tier 1 method of the 2006 IPCC Guidelines for National greenhouse gas Inventories (IPCC, 2006). Estimates are available by country and with global coverage, in complete time series for the period 1990?2019. The database is updated annually. The FAOSTAT domain Organic soils disseminates information by country on: activity data (in hectares of organic soils drained for agriculture); and greenhouse gas (GHG) emissions (in kilotonnes of N2O and CO2). Drainage and associated emissions are assessed separately for IPCC land use categories cropland and grassland, corresponding to FAO land use categories ??cropland?? and ??permanent meadows and pastures.?? Data are available for all countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups. This FAOSTAT domain also disseminates the activity data and emissions data reported by countries to the United Nations Framework Convention on Climate Change (UNFCCC), under ?Cultivation of organic soils? for the N2O component and categories ?Cropland drained organic soils? and ?Grassland drained organic soils? for the CO2. Activity data are sourced from the most recently available GHG National Inventories (NGHGI) or from National Communications. Emission data are sourced directly from the UNFCCC data portal or from Biennial Update Reports (BURs). UNFCCC data are disseminated in FAOSTAT with permission, formalized via a FAO-UNFCCC Memorandum of Understanding.

As of Jun 2021, estimates of greenhouse gas (GHG) emissions from agriculture and land use are disseminated under the FAOSTAT heading Climate Change/Emissions. This heading consolidates and replaces two previous distinct headings: Emissions-Agriculture and Emissions-Land Use, which no longer exist. Several other domains were consolidated to facilitate data access. https://fenixservices.fao.org/faostat/static/documents/GT/README_Changes_in_2021.pdf   The domain Emissions Totals consolidatesin one single dataset the information previously presented in two separate datasets: Agriculture total (previously: http://www.fao.org/faostat/en/#data/GT; containing data on non-CO2 emissions from agriculture); and Land Use total (previously: http://www.fao.org/faostat/en/#data/GL; containing CO2 and non-CO2 emissions from land use, land use change and forestry. This link no longer works).

Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2019-2050 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and Prepaid Private), and development assistance for health (DAH). Retrospective health spending estimates for 1995-2018 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2020 US dollars, constant 2020 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.

Citation: Global Health Observatory (GHO) Data: https://www.who.int/gho/en/: World Health Organization; 2019. License: CC BY-NC-SA 3.0 IGO   The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.

Global Trends in Prevalence of Tobacco Smoking 2000-2025

In December 2022, IHME paused its COVID-19 modeling. IHME has developed projections for total and daily deaths, daily infections and testing, hospital resource use, and social distancing due to COVID-19 for a number of countries. Forecasts at the subnational level are included for select countries. The projections for total deaths, daily deaths, and daily infections and testing each include a reference scenario: Current projection, which assumes social distancing mandates are re-imposed for 6 weeks whenever daily deaths reach 8 per million (0.8 per 100k). They also include two additional scenarios: Mandates easing, which reflects continued easing of social distancing mandates, and mandates are not re-imposed; and Universal Masks, which reflects 95% mask usage in public in every location. Hospital resource use forecasts are based on the Current projection scenario. Social distancing forecasts are based on the Mandates easing scenario. These projections are produced with a model that incorporates data on observed COVID-19 deaths, hospitalizations, and cases, information about social distancing and other protective measures, mobility, and other factors. They include uncertainty intervals and are being updated daily with new data. These forecasts were developed in order to provide hospitals, policy makers, and the public with crucial information about how expected need aligns with existing resources, so that cities and countries can best prepare. Dataset contains Observed and Projected data

The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections and assesses policies to put public finances on a sustainable footing. 

Data retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/   FRED Economic Research Division "International Data" dataset contains series for the following categories: money, banking & finance; national accounts; population, employment & labor markets; production & business activity; prices; work started; consumer opinion surveys; business tendency surveys (construction); business tendency surveys (services); business tendency surveys (manufacturing); business tendency surveys (non-manufacturing); leading indicators OECD; business tendency surveys (retail trade).

Data retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/   This dataset contains forecast data from the dataset: https://knoema.com/FREDID2018Oct 

Europop2013, the latest population projections released by Eurostat, provide a set of different scenarios for possible population developments at national and regional levels across 31 European countries: all of the EU-28 Member States, as well as Iceland, Norway and Switzerland. These population projections were produced using data for 1 January 2013 as a starting point and therefore include any modifications made to demographic statistics resulting from the 2011 population census exercise. They were developed based on application of a main input dataset of assumptions on future developments for fertility, mortality and net migration covering the time period 2013 to 2080. Europop2013 at national level includes detailed statistical information related to the main scenario and its four variants with reference to: projected population on 1st January by age and sex;assumptions datasets: age-specific fertility rates, age-specific mortality rates and international net migration figures (including statistical adjustment);approximated values of the life expectancy by age and sex for main scenario and higher life expectancy variant;total numbers of projected live births and deaths;projected population structure indicators: shares of broad age groups in total population, old-age dependency ratios and median age of population.the time horizon covered is from 2013 until 2080 for the main scenario and no migration variant, and from 2013 until 2060 for the higher life expectancy, reduced migration and lower fertility variants. Europop2013 at regional level includes statistical information related to the main scenario with reference to: projected population on 1st January by age and sex;assumptions dataset: age-specific fertility rates, age-specific mortality rates and net migration figures (including statistical adjustment);approximated values of the life expectancy by age and sex;total numbers of projected live births and deaths;projected population structure indicators: shares of broad age groups in total population, old-age dependency ratios and median age of population.the time horizon covered is from 2013 until 2080.data available are rounded therefore the sum of regional figures for populations and for net migrations will differ from the national ones by few units.287 regions classified as NUTS level 2 corresponding to NUTS-2010 classification (the Nomenclature of Territorial Units for Statistics) and to the Statistical Regions agreed between European Commission and Iceland, Norway and Switzerland. Due to the relative small population the following countries have one NUTS level 2 region: Estonia, Cyprus, Latvia, Lithuania, Luxembourg, Malta and Iceland. Thus, for these countries the projected population data for NUTS level 2 region are identical to national data.

Europop2013, the latest population projections released by Eurostat, provide a set of different scenarios for possible population developments at national and regional levels across 31 European countries: all of the EU-28 Member States, as well as Iceland, Norway and Switzerland. These population projections were produced using data for 1 January 2013 as a starting point and therefore include any modifications made to demographic statistics resulting from the 2011 population census exercise. They were developed based on application of a main input dataset of assumptions on future developments for fertility, mortality and net migration covering the time period 2013 to 2080. Europop2013 at national level includes detailed statistical information related to the main scenario and its four variants with reference to:projected population on 1st January by age and sex;assumptions datasets: age-specific fertility rates, age-specific mortality rates and international net migration figures (including statistical adjustment);approximated values of the life expectancy by age and sex for main scenario and higher life expectancy variant;total numbers of projected live births and deaths;projected population structure indicators: shares of broad age groups in total population, old-age dependency ratios and median age of population.the time horizon covered is from 2013 until 2080 for the main scenario and no migration variant, and from 2013 until 2060 for the higher life expectancy, reduced migration and lower fertility variants. Europop2013 at regional level includes statistical information related to the main scenario with reference to:projected population on 1st January by age and sex;assumptions dataset: age-specific fertility rates, age-specific mortality rates and net migration figures (including statistical adjustment);approximated values of the life expectancy by age and sex;total numbers of projected live births and deaths;projected population structure indicators: shares of broad age groups in total population, old-age dependency ratios and median age of population.the time horizon covered is from 2013 until 2080.data available are rounded therefore the sum of regional figures for populations and for net migrations will differ from the national ones by few units.287 regions classified as NUTS level 2 corresponding to NUTS-2010 classification (the Nomenclature of Territorial Units for Statistics) and to the Statistical Regions agreed between European Commission and Iceland, Norway and Switzerland. Due to the relative small population the following countries have one NUTS level 2 region: Estonia, Cyprus, Latvia, Lithuania, Luxembourg, Malta and Iceland. Thus, for these countries the projected population data for NUTS level 2 region are identical to national data.

The pension expenditure indicator includes gross public pensions (i.e. before taxes and compulsory social security contributions) as a percentage of GDP. It is the sum of different categories of pension benefits, some of which (for example, disability  pensions) may be paid to people who have not reached the standard retiring age. The projections are made on the basis of Eurostat's population projection - EUROPOP2010 - and commonly agreed underlying economic assumptions that have been prepared by the European Commission (DG ECFIN) and the Economic Policy Committee (Ageing Working Group).

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.

The datasets are composed by baseline population projections and the following sensitivity tests: •           Lower fertility; •           Lower mortality; •           Higher migration; •           Lower migration; •           No migration. For each of them, data is available as follows: •           Projected population on 1 January by age and sex, and by single year time interval; •           Assumptions on future age-specific fertility rates, age-specific mortality rates and international net migration levels (including statistical adjustment); •           Corresponding approximated values of the life expectancy by age and sex. Moreover, for the baseline projections, the following demographic balances and indicators are available: •           Total numbers of the projected live births and deaths; •           Projected population structure indicators: proportions of broad age groups in total population, age dependency ratios and median age of the population. The time horizon covered is: •           From 2015 to 2081 for the projected population; and •           From 2015 to 2080 for the assumptions dataset.

Population projections show how the population size and structure would change if the assumptions made regarding fertility, mortality and migration remained true over the whole projection period. Even though they are hypothetical ‘what-if’ exercises, population projections help the public, statisticians and policymakers understand population dynamics. Population refers to 1st January population for the respective years.

The FAOSTAT Population module contains time series data on population, by sex and urban/rural. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1. Population data refers to the World Population Prospects: The 2015 Revision from the UN Population Division. 2. Urban/rural population data refers to the World Urbanization Prospects: The 2014 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050. http://www.un.org/en/development/desa/population/

This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <

Animal production statistics cover three main sub-domains based on three pieces of relevant legislation and related gentlemen’s agreements. Livestock and meat statistics are collected under Regulation (EC) No 1165/2008. They cover meat production, as activity of slaughterhouses (monthly) and as other slaughtering (annual), meat production (gross indigenous production) forecast (semi-annual or quarterly), livestock statistics, including regional statistics. A quality report is also collected every third year.Milk and milk product statistics are collected under Decision 97/80/EC implementing Directive 96/16/EC. They cover farm production and utilisation of milk (annual), collection (monthly for cows’ milk) and production activity by dairies (annual) and statistics on the structure of dairies (every third year). An annual methodological report is also collected.Statistics on eggs for hatching and farmyard poultry chicks are collected under Regulation (EC) No 617/2008, implementing Regulation (EC) No 1234/2007 (Single CMO Regulation). They cover statistics on the structure (annual) and the activity (monthly) of hatcheries as well as reports on the external trade of chicks. European Economic Area countries (EEA, Iceland, Liechtenstein and Norway) are requested to provide milk statistics, with the exception of those related to home consumption, as stated in Annex XXI of the EEA Agreement. As Iceland is now a candidate country and Liechtenstein is exempted in the Agreement, only Norway is concerned. The Agreement between the European Community and the Swiss Confederation on cooperation in the field of statistics states that Switzerland must provide Eurostat with national milk statistics. It has been amended in 2013 for covering also some livestock and meat statistics. The same statistics are requested from the candidate countries as acquis communautaire. Further data about the same topics refer to repealed legal acts or agreements. The tables on animal product supply balance sheets (apro_mk_bal, apro_mt_bal and apro_ec_bal), statistics on the structure of rearing (apro_mt_str) and the number of laying hens (apro_ec_lshen) are therefore no longer updated. The same applies to some variables (external trade of animals and meat), periods (surveys in April or August) or items (number of horses) included in other tables. The statistical tables disseminated by Eurostat are organised into three groups of tables on Agricultural products (apro), i.e. Milk and milk products (apro_mk), Livestock and meat (apro_mt) and Poultry farming (apro_ec). This last label covers statistics on hatcheries and on trade in chicks. The regional animal production statistics collected on livestock (agr_r_animal) and on cows’ milk production on farms (agr_r_milk_pr) are disseminated separately. Due to the change in the legal basis or in the methodology, the time series may be broken. This is indicated by a flag in the tables. The detailed content of each table and the reference to its legal definition is provided in the table below. Table 3.1: Data tables disseminated regarding animal production statistics <

This indicator is the ratio between the projected number of persons aged 65 (age when they are generally economically inactive) and the projected number of persons aged between 15 and 64. The value is expressed per 100 persons of working age (15-64).

Estimates and forecasts on labour force data: (1) Total labour force and female labour force, expressed in thousands (2) Total agriculture labour force and female labour force, expressed in thousands.

This database contains country-reported GAM data. For HIV epidemiological estimates, as well as ART and PMTCT indicators

The 2022 Revision of World Population Prospects is the twenty-seventh edition of official United Nations population estimates and projections that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat.

This table provides estimates from 1950 to 2021 and projections (medium fertility variant) from 2022 to 2050 of total population and urban population, expressed in thousands and as a percentage of total population, respectively. Population refers to de facto population in a country, area or region as of 1 July of the indicated year. Sources:UN DESA Population Division, World Population Prospects 2022UN DESA Population Division, World Urbanization Prospects 2018Eurostat for Republic of Cyprus (1975 - 2050) and Ukraine (2015 – 2022)UNCTAD secretariat estimates Notes: The figures for certain groups may differ from those published by above mentioned sources, where UNCTAD definitions for the groups are different.

The 2018 Revision of World Urbanization Prospects presents the latest United Nations estimates of the size of urban and rural populations for 233 countries or areas from 1950 to 2018, with projections until 2050. It also includes data on population size for close to 1900 urban settlements having 300000 inhabitants or more in 2018. These 1900 cities or urban areas are now home to nearly 60 per cent of the world’s urban population.