The average for 2025 based on 101 countries was 6.64 percent. The highest value was in Sudan: 61.99 percent and the lowest value was in Thailand: 1 percent. The indicator is available from 1980 to 2030. Below is a chart for all countries where data are available.

The adult employment-to-population in 2022 was higher in Iceland than any other Organization for Economic Cooperation and Development (OECD) country, at 83.3 percent. The Netherlands ranked second with nearly 82 percent. On the other hand, it was lowest in Türkiye. The average for the entire bloc was 67.8. The employment-to-population ratio is a valuable addition to the unemployment rate because it includes the entire adult population, whereas the unemployment rate only considers those who are working or actively seeking a job, that is, only the workforce.

This dataset provides values for UNEMPLOYMENT RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

As of March 2025, South Africa had the highest unemployment rate among the 19* countries that are members of the G20. The unemployment rate in South Africa stood at **** percent that year. The country has recently been plagued by an economic downturn, including energy shortages and high unemployment levels. On the other hand, Japan had the lowest unemployment rate at just *** percent. Economic inequality in South Africa Not only does South Africa top the G20 in overall unemployment, but it also has a significant level of youth unemployment, as nearly half of the young population is unemployed. Thirty years after the end of Apartheid, South Africa is also still one of the most unequal countries in the world, with a Gini score of ****. The prominence of inequality in the country makes escaping unemployment and underemployment difficult. Japanese economic slowdown While Japan had the lowest unemployment rate out of all G20 nations, as well as the lowest youth unemployment rate out of the G20 nations, Japan’s economy is still facing many challenges. With an aging population, the total Japanese population is facing a rapid decline, meaning that it will struggle to have enough workers participating in the labor market. Despite this, Japan maintains strict immigration policies, limiting the chances for foreign workers to move to Japan. Moreover, Japan has the second lowest fertility rate out of the G7 nations and one of the lowest fertility rates globally, adding another challenge in addressing population shrinkage.

The "World Literacy Rate by Country" dataset provides a detailed snapshot of literacy rates across different countries in the world. This dataset is organized into several key columns:

S.No: This column lists the serial number for each country, helping to keep the data organized and easy to reference. Country: This column names the countries included in the dataset, allowing for a clear understanding of which nation each literacy rate pertains to. Literacy rate in percentage: This column shows the literacy rate of each country, expressed as a percentage. This figure represents the proportion of the population that can read and write. Year: This column indicates the year in which the literacy rate was recorded, providing a temporal context for the data. By examining this dataset, you can gain insights into the educational progress and challenges faced by different countries in the world.

Description

This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

Key Features

Country: Name of the country.

Density (P/Km2): Population density measured in persons per square kilometer.

Abbreviation: Abbreviation or code representing the country.

Agricultural Land (%): Percentage of land area used for agricultural purposes.

Land Area (Km2): Total land area of the country in square kilometers.

Armed Forces Size: Size of the armed forces in the country.

Birth Rate: Number of births per 1,000 population per year.

Calling Code: International calling code for the country.

Capital/Major City: Name of the capital or major city.

CO2 Emissions: Carbon dioxide emissions in tons.

CPI: Consumer Price Index, a measure of inflation and purchasing power.

CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.

Currency_Code: Currency code used in the country.

Fertility Rate: Average number of children born to a woman during her lifetime.

Forested Area (%): Percentage of land area covered by forests.

Gasoline_Price: Price of gasoline per liter in local currency.

GDP: Gross Domestic Product, the total value of goods and services produced in the country.

Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.

Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.

Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.

Largest City: Name of the country's largest city.

Life Expectancy: Average number of years a newborn is expected to live.

Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.

Minimum Wage: Minimum wage level in local currency.

Official Language: Official language(s) spoken in the country.

Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.

Physicians per Thousand: Number of physicians per thousand people.

Population: Total population of the country.

Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.

Tax Revenue (%): Tax revenue as a percentage of GDP.

Total Tax Rate: Overall tax burden as a percentage of commercial profits.

Unemployment Rate: Percentage of the labor force that is unemployed.

Urban Population: Percentage of the population living in urban areas.

Latitude: Latitude coordinate of the country's location.

Longitude: Longitude coordinate of the country's location.

Potential Use Cases

Analyze population density and land area to study spatial distribution patterns.

Investigate the relationship between agricultural land and food security.

Examine carbon dioxide emissions and their impact on climate change.

Explore correlations between economic indicators such as GDP and various socio-economic factors.

Investigate educational enrollment rates and their implications for human capital development.

Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.

Study labor market dynamics through indicators such as labor force participation and unemployment rates.

Investigate the role of taxation and its impact on economic development.

Explore urbanization trends and their social and environmental consequences.

The average for 2023 based on 177 countries was 15.77 percent. The highest value was in Djibouti: 76.27 percent and the lowest value was in Niger: 0.42 percent. The indicator is available from 1991 to 2024. Below is a chart for all countries where data are available.

Dear Kaggler! This dataset consists of a main CSV file: Adult mortality rate (2019-2021).csv. This file has been processed, cleaned and prepared for your use. The dataset contains information on mortality rates in different countries of the world and some factors that may affect this rate for 2019-2023.

The data contains the following columns:

Countries: Country of study.

Continent: Continent location of the country.

Average_Pop(thousands people): Average population of the country under study for 2019-2021 in thousands.

Average_GDP(M$): Average GDP of the country under study for 2019-2021 in millions of dollars.

Average_GDP_per_capita: Average GDP per capita of the country under study for 2019-2021 in dollars.

Average_HEXP($): Health Expenditure Per Capita in the country under study in dollars.

Development_level: Level of development of the state under study (calculated by GDP per capita of the country). Please note that in this dataset we calculate this indicator only by calculating GDP per capita! Despite the fact that the United Nations (UN) does not have an unambiguous classification of countries into developed, developing and backward based on only one indicator, such as the amount of GDP per capita. It uses a wider range of economic, social and quality indicators to determine the level of development of countries.

AMR_female(per_1000_female_adults): Average mortality of adult women in the country under study (per 1000 adult women per year) for 2019-2023.

AMR_male(per_1000_male_adults): Average mortality of adult men in the country under study (per 1000 adult men per year) for 2019-2023.

Average_CDR: Average crude mortality rate for 2019–2021 in the country under study.

The dataset also contains additional files: Draft_AMR.csv, Draft_CDR.csv, Draft_Expenses.csv, Draft_GDP.csv, Draft_Population.csv. In fact, the main dataset consists of parts of these files. If you are interested in working more deeply on data cleaning and preparation, you can of course use these files. You can also use these files to create your own dataset. And be careful! Additional files may contain a different number of rows and columns with different names and data types. And of course these files are not cleaned. You will see not only the NaN values, but also other symbols in their place.

Enjoy your training, my dear Kaggler!

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In 2023, with just *** death per one thousand people, Qatar and the United Arab Emirates were the countries with the lowest death rates worldwide. This statistic shows a ranking of the 20 countries with the lowest death rates worldwide, as of 2023. Health in high-income countries Countries with the highest life expectancies are also often high-income countries with well-developed economic, social and health care systems, providing adequate resources and access to treatment for health concerns. Health care expenditure as a share of GDP varies per country; for example, spending in the United States is higher than in other OECD countries due to higher costs and prices for care services and products. In developed countries, the main burden of disease is often due to non-communicable diseases occurring in old age, such as cardiovascular diseases and cancer. High burden in low-income countries The countries with the lowest life expectancy worldwide are all in Africa- including Nigeria, Chad, and Lesotho- with life expectancies reaching up to 20 years shorter than the average global life expectancy. Leading causes of death in low-income countries include respiratory infections and diarrheal diseases, as these countries are often hit with the double burden of infectious diseases plus non-communicable diseases, such as those related to cardiovascular pathologies. Additionally, these countries often lack the resources and infrastructure to sustain effective healthcare systems and fail to provide appropriate access and treatment for their populations.

This dataset provides values for UNEMPLOYMENT RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The average for 2022 based on 67 countries was 9 deaths per 1000 people. The highest value was in Monaco: 23.5 deaths per 1000 people and the lowest value was in Qatar: 0.93 deaths per 1000 people. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

This dataset is about countries. It has 194 rows. It features 2 columns including death rate. It is 100% filled with non-null values.

Graph and download economic data for Harmonised Unemployment - Monthly Rates: Total: All Persons for the Euro Area (19 Countries) (LRHUTTTTEZM156N) from Jan 1993 to Jan 2023 about Euro Area, harmonized, Europe, persons, unemployment, and rate.

This dataset is about countries per year in Europe. It has 2,816 rows. It features 3 columns: country, and death rate.

The average for 2024 based on 19 countries was 6.88 percent. The highest value was in Saint Vincent and the Grenadines: 18.06 percent and the lowest value was in Guatemala: 2.22 percent. The indicator is available from 1991 to 2024. Below is a chart for all countries where data are available.

This dataset is about countries per year in Denmark. It has 64 rows. It features 3 columns: country, and death rate.

This dataset is about countries per year in Ireland. It has 64 rows. It features 3 columns: country, and death rate.

This dataset provides values for YOUTH UNEMPLOYMENT RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset is about countries per year in Bolivia. It has 64 rows. It features 4 columns: country, birth rate, and death rate.

Graph and download economic data for Infant Mortality Rate for Least Developed Countries (SPDYNIMRTINLDC) from 1990 to 2023 about mortality, infant, and rate.