OECD, EU28, G20 Population and Demographic Indicators

Free Product
Elderly Population
Since 1960
Fertility Rates

Historical demographic indicators for more than 50 countries (OECD + 16)

This is an example data from history; subscriber data is updated daily
Charts of OECD, EU28, G20 Population and Demographic Indicators


  • Population forecast
  • Country benchmark and segmentation applications
  • Demographic analysis of countries
  • Investment decision support


OECD, EU28, G20 Population and Demographic Indicators


This DATA product provides annual population data since 1960 by sex and important breakdowns such as working population, young population, elderly population, and fertility rate. The data is available for 52 countries in total including the OECD member countries as well as for the European Unions, and G20 countries, Colombia, Costa Rica, Singapore and the World total.

Population projections are a common demographic tool. They provide a basis for other statistical projections, helping governments in their decision making.

These demographic trends have a number of implications for government and private spending on pensions, health care, and education and, more generally, for economic growth and welfare.



  • Men and women population
  • Fertility rates
  • Working population percent
  • Elderly population percent
  • Young population percent


Here is the country list for this data product: Country List

The table shows the country coverage of the product as of 2019:

World Population Data Product Coverage Coverage %
7,632.82 4,915.46 %64

With the standard country codes, you can merge this data with other national statistics, create
visual dashboards and benchmark countries.

Data Sources

OECD, United Nations, World Bank and various sources for country attributes

Key Features

  • Historical data goes back to 1960
  • OECD Members + 16 Countries are Covered
  • Key population indicators

Data Provider

Alta Bering

Until a few decades ago majority of us were employed in real world businesses. Alta Bering came out of a history of production technology and reconciled it with sophisticated algorithmic math, an after-thought in enterprise system functionality.We believe efficiency is key to mitigating scarcity economics. In the early 2000s, we set our sights on helping companies achieve higher efficiency and growth, not just growth.Today we enable advanced prescriptive analytics for data scientists and enterprise cloud platforms. Our goal is to help business analysts step up to corporate responsibility.Contact us for more about how we deliver our predictive analytics consulting to large and medium sized clients.


19 Data Columns

Year (year)

Reported year of the statistical data

2-Digit Alpha Country Code (co_alpha_2_code)

ISO 3166-1 alpha-2 code that represents each country

Country Alpha 3 Codes (co_alpha_3_code)

ISO 3166-1 alpha-3 codes are 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 (country_name)

Name of the country that the data belongs to

Geographic Region Name (co_agg_region_name)

Geographic regions presents the composition of geographical regions used by the United Nations' Statistics Division in its publications and databases. Each country or area is shown in one region only. These geographic regions are based on continental regions.

OECD Country Flag (co_agg_oecd_flag)

True if the country is a member of OECD, otherwise False

G20 Country Flag (co_agg_g20_flag)

True if the country belongs to G20 (Group of Twenty) which is an international forum for the governments and central bank governors from 19 countries and the European Union (EU)

European Union Member Flag (co_agg_eu_flag)

True if the country is a member of the European Union, otherwise False

Max Report Year (max_year_by_country)

The latest year of statistics of a country in the dataset

Geographical Agregation (geo_agg)

Country or the agregation region such as OECD, World etc.

Men Population (population_men)

Men Population

Women Population (population_women)

Women Population

Total Population (population_total)

Total Population

Population Men Percent (population_men_percent)

The share of the men population in total population

Population Women Percent (population_women_percent)

The share of the women population in total population

Working Population Percent (working_population_percent)

The working age population is defined as those aged 15 to 64. This indicator measures the share of the working age population in total population.

Elderly Population Percent (elderly_population_percent)

The elderly population is defined as people aged 65 and over. This indicator measures the share of the elderly population in total population.

Fertility Rates (fertility_rates)

The total number of children that would be born to each woman

Youth Population Percent (young_population_percent)

The youth population is defined as those people aged less than 15. This indicator measures the share of the youth population in total population.

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