World Population Indicators (1950-2100)

United Nations
Since 1950
World Population
UN
Year 2100 Projections
200+ Countries

World population actuals and projections for 235 countries/areas and special groups from 1950 to 2100

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Charts of World Population Indicators (1950-2100)

Applications

  • Population growth analysis for world countries/areas
  • Historical trends and also future projections
  • International migration and urbanization

DOCUMENTATION

World Population Indicators (1950-2100)

Overview

In demographics, the world population is the total number of humans currently living, and was estimated to have reached 7.8 billion people as of March 2020. It took over 200,000 years of human history for the world's population to reach 1 billion, and only 200 years more to reach 7 billion.

The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis.

World Population Prospects 2019 is the 26th edition of the United Nations population estimates and projections. It presents population estimates from 1950 to the present for 235 countries or areas, underpinned by analyses of historical demographic trends. This latest assessment considers the results of 1,690 national population censuses conducted between 1950 and 2018, as well as information from vital registration systems and from 2,700 nationally representative sample surveys. The 2019 revision also presents population projections to the year 2100 that reflect a range of plausible outcomes at the global, regional and country levels.

Data Coverage

Indicators

  • Male Population
  • Female Population
  • Total Population
  • Population Density

A number of different projection variants were produced to convey the sensitivity of the projections to changes in the underlying assumptions. As part of its work on probabilistic projections, the Population Division has also published the 80 and 95 per cent prediction intervals of future fertility levels, along with the median trajectory. It should be noted that the median trajectory constitutes the medium-fertility assumption.

Consistent with previous revisions, the 2019 revision of the World Population Prospects also includes
several variants with different fertility assumptions:

  1. medium-fertility assumption;
  2. high-fertility assumption;
  3. low-fertility assumption;
  4. constant-fertility assumption;
  5. instant-replacement assumption,
  6. and a momentum variant which has a different treatment of the mortality and migration assumptions as compared to the instant-replacement-fertility variant.

More info available at WPP 2019 Methodology, Section: "II. The Preparation of Population Projections"

Check out the Data and Dictionary section to learn about the indicators and country attributes which provide geographical, political and economical classifications of each country.

Data Sources

United Nations Population Division is the main source for the world population data and also provides the comprehensive list of locations with codes (numerical and ISO3), description, major area, region and development groups.

Key Features

  • 235 countries or areas
  • Estimates from 1950 to 2020
  • Projections to the year 2100

DATA DICTIONARY

13 Data Columns

Year (year)

Reported year of the statistical data

ISO Alpha-2 Code (iso_alpha2_code)

Two-letter country codes defined in ISO 3166-1, part of the ISO 3166 standard published by the International Organization for Standardization (ISO), to represent countries, dependent territories, and special areas of geographical interest

ISO Alpha-3 Code (iso_alpha3_code)

Three-letter country codes defined in ISO 3166-1, part of the ISO 3166 standard published by the International Organization for Standardization (ISO), to represent countries, dependent territories, and special areas of geographical interest

Country (location_name)

Standard country names used by the United Nations Statistics Division

Geographic Region Name (geo_region_name)

Name of the geographical region (countries and areas are grouped geographically into six regions by UNSD: Africa; Asia; Europe; Latin America and the Caribbean; Northern America, and Oceania

OECD Membership Flag (member_oecd)

True/False flag if the country is an OECD member (The Organisation for Economic Co-operation and Development is an intergovernmental economic organisation with 37 member countries (as of 9 June 2018) founded in 1961 to stimulate economic progress and world trade. Generally, OECD members are high-income economies with a very high Human Development Index (HDI) and are regarded as developed countries.)

G20 Membership Flag (member_g20)

True/False flag if the country is a G20 member (The G20 is an international forum for the governments and central bank governors from 19 countries and the European Union.)

EU Membership Flag (member_eu)

True/False flag if the country is an UN member (The European Union (EU) is a political and economic union of 27 member states (as of 16 June 2016) that are located primarily in Europe.)

Variant (variant)

A number of different projection variants were produced to convey the sensitivity of the projections to changes in the underlying assumptions. As part of its work on probabilistic projections, the Population Division has also published the 80 and 95 per cent prediction intervals of future fertility levels, along with the median trajectory. It should be noted that the median trajectory constitutes the medium-fertility assumption.

Consistent with previous revisions, the 2019 revision of the World Population Prospects also includes
several variants with different fertility assumptions:

  1. medium-fertility assumption;
  2. high-fertility assumption;
  3. low-fertility assumption;
  4. constant-fertility assumption;
  5. instant-replacement assumption,
  6. and a momentum variant which has a different treatment of the mortality and migration assumptions as compared to the instant-replacement-fertility variant.

More info available at WPP 2019 Methodology, Section: "II. The Preparation of Population Projections"

Male Population (male_population)

Male Population

Female Population (female_population)

Female Population

Total Population (total_population)

Total Population

Population Density (population_density)

Population per square kilometre

Data Provider

Alta Bering

Alta Bering is a Data Curation and Business Analytics Company with its roots in management consulting and decision science. Alta Bering is based in British Columbia and also offers a visual business analytics platform called EPO to help solve complex business problems by using popular Machine Learning and statistical methods

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