This dataset combines economic and development indicators from two key sources:

1. World Bank Economic Indicators (1960–2018) Covers various economic performance metrics for countries worldwide, including:

   • Electricity consumption
   • GDP per capita
   • Population statistics
   • Life expectancy
   • And many other key development indicators

2. United Nations Human Development Index (HDI) Data (1990–2021) Supplementary data tracking human development, environmental impact, and inequality through composite metrics such as:

   • HDI score (combining life expectancy, GDP per capita, education)
   • Inequality indices
   • Environmental measures

Potential Analyses

• Identify countries with the highest growth in population and GDP and analyze overlaps.
• Explore which regions have experienced the most significant HDI improvements in the 21st century.
• Analyze factors most strongly correlated with life expectancy.
• Differentiate economic and social indicators between “High Income” and “Low Income” countries.

Source

Data sourced from The World Bank and United Nations (UN). Licensed under Public Domain.

Human Development Index by country for 2013. This is a filtered layer based on the "Human Development Index by country, 1980-2010 time-series" layer.The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $).The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values:

Very High Human Development: 0.736 and higher High Human Development: 0.615 to 0.735 Medium Human Development: 0.494 to 0.614 Low Human Development: 0.493 and lower

Country shapes from Natural Earth 50M scale data. Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division (2014), World Bank (2014) and IMF (2014).

Countries from Natural Earth 50M scale data with a Human Development Index attribute for each of the following years: 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2013, 2015, & 2017. The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $). The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values: Very High: 0.736 and higher High: 0.615 to 0.735 Medium: 0.494 to 0.614 Low: 0.493 and lower

In 2015 & 2017 these groups were defined by the following HDI values: Very High: 0.800 and higher High: 0.700 to 0.799 Medium: 0.550 to 0.699 Low: 0.549 and lower

Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division(2014), World Bank (2014) and IMF (2014). 2015 & 2017 values source: HDRO calculations based on data from UNDESA (2017a), UNESCO Institute for Statistics (2018), United Nations Statistics Division (2018b), World Bank (2018b), Barro and Lee (2016) and IMF (2018).

Population data are from (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.

Data was sourced from reputable international organizations such as the World Bank and the United Nations Development Programme (UNDP). The World Bank open data provided crucial insights into demographic indicators such as fertility, death rates, and GDP growth rates, while data from the UNDP contributed to indicators such as gross national income per capita (GNIPC), mean years of schooling (MYS), and Human Development Index (HDI).

• GDP growth rate: GDP Growth Rate is also known as the Economic Growth Rate, and it measures the change in the GDP of the country in comparison to an earlier period.
• GNIPC: Gross National Income (GNI) per capita is the dollar value of a country's final income in a year divided by its population using Atlas methodology.
• MYS: Average number of completed years of education of a country's population aged 25 years and older, excluding years spent repeating individual grades.
• HDI: The Human Development Index (HDI) is a statistical composite index of life expectancy, education, and per capita income indicators.

Data contains missing values and is to be handled accordingly as per use case.

Time series data for the statistic Human development index (HDI) and country Benin. Indicator Definition:The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.The indicator "Human development index (HDI)" stands at 0.434 as of 12/31/2011, the highest value at least since 12/31/1990, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.463 percent compared to the value the year prior.The 1 year change in percent is 0.463.The 3 year change in percent is 2.12.The 5 year change in percent is 4.33.The Serie's long term average value is 0.392. It's latest available value, on 12/31/2011, is 10.80 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1980, to it's latest available value, on 12/31/2011, is +71.54%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2011, is 0.0%.

Is the Gini Coefficient Enough? A Microeconomic Data Decomposition StudyIvan Skliarov, Lukasz Goczek (2023).List of data files:1. theil_raw.csv - data obtained from LISSY using the lis_theil.R script.*2. scv_raw.csv - data obtained from LISSY using the scv_theil.R script.*3. hdi.csv - Human Development Index and its components.4. gini.csv - Gini coefficient from SWIID 9.4.5. wdi.csv - World Development Indicators from the World Bank.6. wgi.csv - World Governance Indicators from the World Bank.7. govcon.csv - government consumption (% of GDP) from UNCTAD.8. theil_fin.csv - final dataset (1, 3-7 combined), which is used in lis_analysis.do.9. scv_fin.csv - final dataset (2-7 combined), which is used in lis_analysis.do.10. indexes.csv - only within and between-cohort components of the Theil index and SCV with imputed values (see lis_analysis.do) for Georgia and Lithuania, which is used in lis_plot.R. * LISSY is the remote-execution system allowing access to the Luxembourg Income Study database: https://www.lisdatacenter.org/data-access/lissy/.For questions about this research please contact:Ivan Skliarov, MA: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, i.skliarov@student.uw.edu.pl.Lukasz Goczek, PhD: Faculty of Economic Sciences, University of Warsaw, Poland, Długa 44/50, Warsaw 00-241, Poland, lgoczek@wne.uw.edu.pl.

This dataset provides a country–year panel for OECD countries covering the period 2010–2024. It combines annual data on public, private and total social expenditure as a share of GDP with the World Happiness Index (WHI) and the Human Development Index (HDI).The data are constructed to analyze the relationships between social spending, subjective well-being and human development in OECD countries. The panel structure (one observation per country per year) makes the dataset suitable for descriptive analysis as well as regression-based empirical research.ContentsThe main Excel file contains a single data sheet:Sheet: data_setEach row corresponds to a specific country–year observation for an OECD member state.Variables:Country: Country name (OECD member; e.g., “Australia”, “Türkiye”, “United States”).iso3: ISO 3166-1 alpha-3 country code (e.g., “AUS”, “TUR”, “USA”).year: Calendar year (2010–2024).pub_socexp_gdp: Public social expenditure as a percentage of GDP (%).priv_socexp_gdp: Private (mandatory and voluntary) social expenditure as a percentage of GDP (%).tot_socexp_gdp: Total social expenditure (public + private) as a percentage of GDP (%).WHI: World Happiness Index; average national happiness score on a 0–10 scale based on the Cantril ladder question.HDI: Human Development Index; composite index of three basic dimensions of human development (health, education, and standard of living).income_group: Binary country income group indicator used in the analysis. High‑income OECD countries are coded as 1 (“High”), and all other OECD members (upper‑middle, lower‑middle and low income) are coded as 0 (“NonHigh”). Income groups were constructed using data from the OECD Data Explorer (2024) and the World Bank country income classification for 2024, based on PPP (purchasing power parity) income thresholds.Empty cells indicate that data for the corresponding country–year observation are not available in the original sources or were not included in the analytical sample due to missingness.Data sourcesSocial expenditure (pub_socexp_gdp, priv_socexp_gdp, tot_socexp_gdp)Data are taken from the OECD Social Expenditure Database (SOCX). SOCX provides reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at the program level for 38 OECD countries (and some accession countries), with coverage from 1980 and estimates for more recent years.Reference: OECD Social Expenditure Database (SOCX), https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html.World Happiness Index (WHI)Happiness data are drawn from the World Happiness Report, accessed via HumanProgress.org (World Happiness Report section). The index is based on average national values for answers to the Cantril ladder question, which asks respondents to evaluate their current life on a 0–10 scale, with the worst possible life as 0 and the best possible life as 10.Reference: World Happiness Report; HumanProgress.org, https://humanprogress.org.Human Development Index (HDI)HDI data are drawn from the Human Development Index series compiled by the United Nations Development Programme (UNDP), accessed via HumanProgress.org (Human Development Index section). The HDI measures three basic dimensions of human development: life expectancy at birth; an education component (adult literacy rate and school enrollment); and GDP per capita (purchasing power parity, PPP, in U.S. dollars), combined into a composite index.Reference: United Nations Development Programme (UNDP), Human Development Reports; HumanProgress.org, https://humanprogress.org.Data construction and coverageThe dataset is restricted to OECD member countries and the years 2010–2024.WHI and HDI series are matched to OECD social expenditure data using ISO3 country codes and calendar years.In addition, a binary income group variable (income_group) was created to distinguish high‑income OECD countries from other OECD members, using the World Bank’s 2024 income thresholds (PPP‑based) and country information from the OECD Data Explorer (2024).Some country–year combinations, particularly in later years (e.g., 2022–2024), contain missing values where the original sources do not provide data or only provide partial estimates. These are retained as empty cells.The empirical analyses in the associated study are conducted on subsets of the data restricted to complete cases for the relevant variables.Researchers can use this dataset to replicate the results of the associated study or to conduct additional analyses on the links between social expenditure, happiness and human development within the OECD context.If you use this dataset, please cite both this data file and the original data providers (OECD, World Happiness Report, UNDP, and HumanProgress.org).

The average for 2023 based on 184 countries was 0.744 points. The highest value was in Iceland: 0.972 points and the lowest value was in South Africa: 0.388 points. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

Time series data for the statistic Human development index (HDI) and country Sierra Leone. Indicator Definition:The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.The indicator "Human development index (HDI)" stands at 0.348 as of 12/31/2011, the highest value at least since 12/31/1990, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.578 percent compared to the value the year prior.The 1 year change in percent is 0.578.The 3 year change in percent is 3.57.The 5 year change in percent is 7.74.The Serie's long term average value is 0.309. It's latest available value, on 12/31/2011, is 12.73 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2000, to it's latest available value, on 12/31/2011, is +42.62%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2011, is 0.0%.

Time series data for the statistic Human development index (HDI) and country Rwanda. Indicator Definition:The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.The indicator "Human development index (HDI)" stands at 0.429 as of 12/31/2011, the highest value at least since 12/31/1990, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.9412 percent compared to the value the year prior.The 1 year change in percent is 0.9412.The 3 year change in percent is 4.89.The 5 year change in percent is 9.72.The Serie's long term average value is 0.367. It's latest available value, on 12/31/2011, is 16.83 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2011, is +84.12%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2011, is 0.0%.

Dataset Description: Wikipedia World Statistics (2023)

This dataset provides a comprehensive snapshot of global country statistics for the year 2023. It was scraped from various Wikipedia pages using BeautifulSoup, consolidating key indicators and metrics for 142 countries. The dataset covers diverse aspects such as land area, water area, Human Development Index (HDI), GDP forecasts, internet usage, and population changes.

Key Columns and Metrics:

1. Country: The name of the country.
2. Total in km2: Total area of the country.
3. Land in km2: Land area excluding water bodies.
4. Water in km2: Area covered by water bodies.
5. Water %: Percentage of the total area covered by water.
6. HDI: Human Development Index, a measure of a country's overall achievement in its social and economic dimensions.
7. %HDI Growth: Percentage growth in HDI.
8. IMF Forecast GDP(Nominal): International Monetary Fund's forecast for Gross Domestic Product in nominal terms.
9. World Bank Forecast GDP(Nominal): World Bank's forecast for Gross Domestic Product in nominal terms.
10. UN Forecast GDP(Nominal): United Nations' forecast for Gross Domestic Product in nominal terms.
11. IMF Forecast GDP(PPP): IMF's forecast for Gross Domestic Product in purchasing power parity terms.
12. World Bank Forecast GDP(PPP): World Bank's forecast for Gross Domestic Product in purchasing power parity terms.
13. CIA Forecast GDP(PPP): Central Intelligence Agency's forecast for Gross Domestic Product in purchasing power parity terms.
14. Internet Users: Number of internet users in the country.
15. UN Continental Region: Continental region classification by the United Nations.
16. UN Statistical Subregion: Statistical subregion classification by the United Nations.
17. Population 2022: Population of the country in the year 2022.
18. Population 2023: Population of the country in the year 2023.
19. Population %Change: Percentage change in population from 2022 to 2023.

Dataset Sources:

The dataset is sourced from various Wikipedia pages using BeautifulSoup, providing a consolidated and accessible resource for individuals interested in global country statistics. It spans a wide range of topics, making it a valuable asset for exploratory data analysis and research in fields such as economics, demographics, and international relations.

Feel free to explore and analyze this dataset to gain insights into the socio-economic dynamics of countries worldwide.

Time series data for the statistic Human development index (HDI) and country Kenya. Indicator Definition:The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.The indicator "Human development index (HDI)" stands at 0.515 as of 12/31/2011, the highest value at least since 12/31/1990, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.7828 percent compared to the value the year prior.The 1 year change in percent is 0.7828.The 3 year change in percent is 4.04.The 5 year change in percent is 7.29.The Serie's long term average value is 0.48. It's latest available value, on 12/31/2011, is 7.22 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1980, to it's latest available value, on 12/31/2011, is +21.46%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2011, is 0.0%.

Maximum and minimum values for the indicators of the GNI from 1990–2015.

Time series data for the statistic Human development index (HDI) and country Nigeria. Indicator Definition:The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.The indicator "Human development index (HDI)" stands at 0.467 as of 12/31/2011, the highest value at least since 12/31/2006, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.08 percent compared to the value the year prior.The 1 year change in percent is 1.08.The 3 year change in percent is 3.09.The 5 year change in percent is 5.18.The Serie's long term average value is 0.452. It's latest available value, on 12/31/2011, is 3.29 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2005, to it's latest available value, on 12/31/2011, is +7.60%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2011, is 0.0%.

Time series data for the statistic Human development index (HDI) and country Tanzania. Indicator Definition:The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.The indicator "Human development index (HDI)" stands at 0.47 as of 12/31/2011, the highest value at least since 12/31/2000, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.8584 percent compared to the value the year prior.The 1 year change in percent is 0.8584.The 3 year change in percent is 13.53.The 5 year change in percent is 17.21.The Serie's long term average value is 0.415. It's latest available value, on 12/31/2011, is 13.28 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2011, is +33.14%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2011, is 0.0%.

This is a dataset I gathered for my analysis on standard of living indicators.

It includes data for most of the countries in the following topics:

GDP per Capita SPI - Social Progress Index HCI - Human Capital Index GINI Index HDI - Human Development Index HCI - Happy Planet Index

Data Source: socialprogress.com, World Bank, New Economic Foundation

Time series data for the statistic Human development index (HDI) and country Ghana. Indicator Definition:The Human Development Index (HDI) is a summary measure of human development. It measures the average achievements in a country in three basic dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices measuring achievements in each dimension. The HDI is the geometric mean of the three dimension indices and embodies imperfect substitutability across all HDI dimensions. It thus addresses one of the most serious criticisms of the linear aggregation formula, which allowed for perfect substitution across dimensions. Some substitutability is inherent in the definition of any index that increases with the values of its components. Data sources: Life expectancy at birth: UNDESA; Mean years of schooling: Barro and Lee; Expected years of schooling: UNESCO Institute for Statistics; Gross national income (GNI) per capita: World Bank.The indicator "Human development index (HDI)" stands at 0.553 as of 12/31/2011, the highest value at least since 12/31/1990, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.41 percent compared to the value the year prior.The 1 year change in percent is 2.41.The 3 year change in percent is 6.35.The 5 year change in percent is 12.17.The Serie's long term average value is 0.492. It's latest available value, on 12/31/2011, is 12.49 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1980, to it's latest available value, on 12/31/2011, is +41.43%.The Serie's change in percent from it's maximum value, on 12/31/2011, to it's latest available value, on 12/31/2011, is 0.0%.

🧭 Description

This dataset catalogs key development, economic, governance, and policy indicators .These indexes originate from institutions and international organizations, and they are widely used by policymakers, researchers, journalists, and development agencies.

🌍 Context

In the landscape of African development, data is power — yet the origin, ownership, and frequency of key indicators are often overlooked. This dataset was created to map out where the numbers come from, who produces them, how often they are updated, and whether they are homegrown or externally driven. It offers a meta-level view of 60+ indicators — such as the Human Development Index (HDI), and Multidimensional Poverty Index (MPI) — that shape how African progress is measured, debated, and compared globally.

📚 Sources

The data was compiled manually from publicly available information on the websites of:

• UNDP (United Nations Development Programme)
• World Bank
• African Development Bank
• OECD
• Mo Ibrahim Foundation
• And other regional or international publishers

Each row includes:

• Indicator name and abbreviation
• Year of conception
• Status (active/inactive)
• Origin (African vs. Non-African)
• Publishing source
• Release schedule

💡 Inspiration

This dataset was inspired by the need to: * Promote transparency about who defines Africa’s development metrics * Highlight the dependence on external indicators * Encourage discussions on data sovereignty and local capacity-building * Serve as a starting point for researchers, think tanks, and students exploring African data systems

📘 License

This dataset is shared under the CC BY 4.0 License — you are free to use, adapt, and share it with attribution.

📊 Data Set Overview:

Total Rows - 62 Columns - 9 Non-null rows - 62 Empty rows - 0 Data type of columns - Object

Explore currency trends, compare exchange rates, and enhance your projects with robust, up-to-date data. Dive into the world of global finance.

File : world_indicators_data.csv

File	Field	Description
world_indicators_data.csv	Country Name	The name of the country
world_indicators_data.csv	Country Code	The three letter code representing the country
world_indicators_data.csv	Region	The World Bank region of the country
world_indicators_data.csv	IncomeGroup	The World Bank Income Group of the country
world_indicators_data.csv	Year	The Year in which the statistics were recorded
world_indicators_data.csv	"Birth rate crude (per 1000 people)"	The Birth rate per 1000 people in the country
world_indicators_data.csv	"Death rate crude (per 1000 people)"	The death rate per 1000 people in the country
world_indicators_data.csv	Electric power consumption (kWh per capita)	The electricity consumper per person in kilowatt-hours in the country
world_indicators_data.csv	GDP (USD)	"The gross domestic product or total economic output of the country"
world_indicators_data.csv	GDP per capita (USD)	"The gross domestic product or economic output per person in the country"
world_indicators_data.csv	Individuals using the Internet (% of population)	The percentage of individuals using the internet in each country
world_indicators_data.csv	"Infant mortality rate (per 1000 live births)"	The infant mortality rate per 1000 births in the country
world_indicators_data.csv	Life expectancy at birth (years)	The life expectancy in years at birth in the country
world_indicators_data.csv	Population density (people per sq. km of land area)	The number of people per square kilometer in the country
world_indicators_data.csv	Unemployment (% of total labor force) (modeled ILO estimate)	The percentage of the labor force that is not employed

File : world_indicators_data_human_development_index.csv

File	Field	Description
world_indicators_data_human_development_index.csv	iso3	The three letter code representing the country
world_indicators_data_human_development_index.csv	country	The name of the country
world_indicators_data_human_development_index.csv	hdicode	The hdi grouping from the UN
world_indicators_data_human_development_index.csv	region	The UNDP development regions
world_indicators_data_human_development_index.csv	hdi_rank_2021	The country's HDI rank in 2021
world_indicators_data_human_development_index.csv	hdi_xxxx	The country's HDI in year xxxx
world_indicators_data_human_development_index.csv	le_xxxx	The country's life expectancy in year xxxx
world_indicators_data_human_development_index.csv	eys_xxxx	The country's expeected years of schooling
world_indicators_data_human_development_index.csv	mys_xxxx	The country's mean years of schooling
world_indicators_data_human_development_index.csv	gnipc_xxxx	The gross national income per capita in 2017 PPP dollars
world_indicators_data_human_development_index.csv	gdi_group_2021	The Gender Development Group
world_indicators_data_human_development_index.csv	gdi_xxxx	Gender Development Index in year xxxx
world_indicators_data_human_development_index.csv	hdi_f_xxxx	Female HDI in year xxxx
world_indicators_data_human_development_index.csv	le_f_xxxx	Female life expectancy at birth in year xxxx
world_indicators_data_human_development_index.csv	eys_f_xxxx	Female expected years of schooling in year xxxx
world_indicators_data_human_development_index.csv	mys_f_xxxx	Female mean years of schooling in year xxxx
world_indicators_data_human_development_index.csv	gni_pc_f_xxxx	Female GNI per capita in year xxxx
world_indicators_data_human_development_index.csv	hdi_m_xxxx	Female HDI in year xxxx
world_indicators_data_human_development_index.csv	le_m_xxxx	Male life expectancy at birth in year xxxx
world_indicators_data_human_development_index.csv	eys_m_xxxx	Male expected years of schooling in year xxxx
world_indicators_data_human_development_index.csv	mys_m_xxxx	Male mean years of schooling in year xxxx
world_indicators_data_human_development_index.csv	gni_pc_m_xxxx	Male GNI per capita in year xxxx
world_indicators_data_human_development_index.csv	ihdi_xxxx	Inequality Adjusted HDI in year xxxx
world_indicators_data_human_development_index.csv	coef_ineq_xxxx	Coefficient of human inequality in year xxxx
world_indicators_data_human_development_index.csv	loss_xxxx	Overall loss (%) in year xxxx
world_indicators_data_human_development_index.csv	ineq_le_xxxx	Inequality in life expectancy in year xxxx
world_indicators_data_human_development_index.csv	ineq_edu_xxxx	Inequality in education in year xxxx
world_indicators_data_human_development_index.csv	ineq_inc_xxxx	Inequality in income in year xxxx
world_indicators_data_human_development_index.csv	gii_rank_2021	Gender Inequality index r...

ObjectivesFollowing its publication in 2008, the Global Nutritional Index (GNI) which captures the triple burden of malnutrition, has been updated to assess the overall nutritional status and nutritional trends of countries, regions and the world, including both under-nutrition and over-nutrition.MethodsThe GNI was modeled on the Human Development Index, using geometric means of three normalized indicators: protein-energy malnutrition (PEM, measured by Disability-Adjusted Life Years (DALYs) from PEM), micronutrient deficiency (MID, measured by DALYs from MID), and penalizing obesity (percent female obesity). GNI (range 0–1) was calculated from 1990–2015 for 186 countries, in seven World Bank income and WHO region groupings.ResultsWorld GNI increased from 0.433 to 0.473 as decreased deficits overcompensated for the rise in obesity. GNI for African low- and middle-income countries (LMIC) (median 0.301 to 0.392) and South-East Asian LMIC (0.456 to 0.564) improved significantly (P