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Countries By Gross National Income (GNI)

Economic health by nation

@kaggle.thedevastator_countries_by_gross_national_income_gni

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About this Dataset

Countries By Gross National Income (GNI)

Countries by Gross National Income (GNI)

Economic health by nation

About this dataset

Gross National Income (GNI) is a marker of the economic health of a nation - it encompasses a nation's GDP while also taking into account money flowing in and out of the country from foreign trade. This dataset provides GNI rankings for countries around the world, allowing for comparisons of economic health and growth. Explore how different nations fare in terms of GNI, and what this says about their overall economic stability!

How to use the dataset

The Gross National Income (GNI) of countries around the world is a measure of the economic health of a nation. It is a summation of a nation's GDP (Gross Domestic Product) plus the money flowing into and out of the country from foreign countries.

This dataset provides Rankings of countries by their GNI. The data is divided into two files: df_1.csv and df_2.csv. Both files contain the following columns:

No.: The number of the country. (Numeric)

Country: The name of the country. (String)

Research Ideas

  • Measuring the economic health of a nation
  • Comparing the GDP of different countries
  • Determining the money flow into and out of a country

Acknowledgements

GNI data is sourced from wikipedia

License

> License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
> No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: df_1.csv

File: df_4.csv

Column name Description
No. The rank of the country based on GNI. (Numeric)
Country The name of the country. (String)
GNI (Atlas method)[8] The GNI of the country, in US dollars. (Numeric)
GNI (Atlas method)[8].1 The GNI of the country, as a percentage of the world total. (Numeric)
GNI[9] The GNI of the country, in US dollars. (Numeric)
GNI[9].1 The GNI of the country, as a percentage of the world total. (Numeric)
GDP[10] The GDP of the country, in US dollars. (Numeric)

File: df_9.csv

Column name Description
0 Country Name (String)
1 GNI (Integer)

File: df_3.csv

Column name Description
0 Country Name (String)

File: df_2.csv

File: df_6.csv

Column name Description
Rank The rank of the country based on GNI. (Numeric)
2021 The GNI of the country in 2021. (Numeric)
2021.1 The GNI of the country in 2021, adjusted for inflation. (Numeric)
2016 The GNI of the country in 2016. (Numeric)
2016.1 The GNI of the country in 2016, adjusted for inflation. (Numeric)
2014 The GNI of the country in 2014. (Numeric)
2014.1 The GNI of the country in 2014, adjusted for inflation. (Numeric)
2013 The GNI of the country in 2013. (Numeric)
2013.1 The GNI of the country in 2013, adjusted for inflation. (Numeric)
2012 The GNI of the country in 2012. (Numeric)
2012.1 The GNI of the country in 2012, adjusted for inflation. (Numeric)
2011 The GNI of the country in 2011. (Numeric)
2011.1 The GNI of the country in 2011, adjusted for inflation. (Numeric)
2010 The GNI of the country in 2010. (Numeric)
2010.1 The GNI of the country in 2010, adjusted for inflation. (Numeric)
2009 The GNI of the country in 2009. (Numeric)
2009.1 The GNI of the country in 2009, adjusted for inflation. (Numeric)
2008 The GNI of the country in 2008. (Numeric)
2008.1 The GNI of the country in 2008, adjusted for inflation. (Numeric)
2007 The GNI of the country in 2007. (Numeric)
2007.1 The GNI of the country in 2007, adjusted for inflation. (Numeric)
2006 The GNI of the country in 2006. (Numeric)
2006.1 The GNI of the country in 2006, adjusted for inflation. (Numeric)

File: df_7.csv

Column name Description
0 Country Name (String)

File: df_8.csv

File: df_5.csv

Column name Description
Rank The rank of the country based on GNI. (Numeric)
2021 The GNI of the country in 2021. (Numeric)
2021.1 The GNI of the country in 2021, adjusted for inflation. (Numeric)
2014 The GNI of the country in 2014. (Numeric)
2014.1 The GNI of the country in 2014, adjusted for inflation. (Numeric)
2013 The GNI of the country in 2013. (Numeric)
2013.1 The GNI of the country in 2013, adjusted for inflation. (Numeric)
2012 The GNI of the country in 2012. (Numeric)
2012.1 The GNI of the country in 2012, adjusted for inflation. (Numeric)
2011 The GNI of the country in 2011. (Numeric)
2011.1 The GNI of the country in 2011, adjusted for inflation. (Numeric)
2010 The GNI of the country in 2010. (Numeric)
2010.1 The GNI of the country in 2010, adjusted for inflation. (Numeric)
2009 The GNI of the country in 2009. (Numeric)
2009.1 The GNI of the country in 2009, adjusted for inflation. (Numeric)
2008 The GNI of the country in 2008. (Numeric)
2008.1 The GNI of the country in 2008, adjusted for inflation. (Numeric)
2007 The GNI of the country in 2007. (Numeric)
2007.1 The GNI of the country in 2007, adjusted for inflation. (Numeric)
2006 The GNI of the country in 2006. (Numeric)
2006.1 The GNI of the country in 2006, adjusted for inflation. (Numeric)

Tables

Df 1

@kaggle.thedevastator_countries_by_gross_national_income_gni.df_1
  • 5.41 kB
  • 9 rows
  • 2 columns
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CREATE TABLE df_1 (
  "unnamed_0" DOUBLE  -- Unnamed: 0,
  "economic_sectors" VARCHAR
);

Df 3

@kaggle.thedevastator_countries_by_gross_national_income_gni.df_3
  • 3.56 kB
  • 13 rows
  • 2 columns
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CREATE TABLE df_3 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "n_0" VARCHAR  -- 0
);

Df 5

@kaggle.thedevastator_countries_by_gross_national_income_gni.df_5
  • 17.27 kB
  • 15 rows
  • 22 columns
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CREATE TABLE df_5 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "rank" BIGINT,
  "n_2021" VARCHAR  -- 2021,
  "n_2021_1" BIGINT  -- 2021.1,
  "n_2014" VARCHAR  -- 2014,
  "n_2014_1" BIGINT  -- 2014.1,
  "n_2013" VARCHAR  -- 2013,
  "n_2013_1" BIGINT  -- 2013.1,
  "n_2012" VARCHAR  -- 2012,
  "n_2012_1" BIGINT  -- 2012.1,
  "n_2011" VARCHAR  -- 2011,
  "n_2011_1" BIGINT  -- 2011.1,
  "n_2010" VARCHAR  -- 2010,
  "n_2010_1" BIGINT  -- 2010.1,
  "n_2009" VARCHAR  -- 2009,
  "n_2009_1" BIGINT  -- 2009.1,
  "n_2008" VARCHAR  -- 2008,
  "n_2008_1" BIGINT  -- 2008.1,
  "n_2007" VARCHAR  -- 2007,
  "n_2007_1" BIGINT  -- 2007.1,
  "n_2006" VARCHAR  -- 2006,
  "n_2006_1" BIGINT  -- 2006.1
);

Df 6

@kaggle.thedevastator_countries_by_gross_national_income_gni.df_6
  • 18.71 kB
  • 15 rows
  • 24 columns
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CREATE TABLE df_6 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "rank" BIGINT,
  "n_2021" VARCHAR  -- 2021,
  "n_2021_1" BIGINT  -- 2021.1,
  "n_2016" VARCHAR  -- 2016,
  "n_2016_1" BIGINT  -- 2016.1,
  "n_2014" VARCHAR  -- 2014,
  "n_2014_1" BIGINT  -- 2014.1,
  "n_2013" VARCHAR  -- 2013,
  "n_2013_1" BIGINT  -- 2013.1,
  "n_2012" VARCHAR  -- 2012,
  "n_2012_1" BIGINT  -- 2012.1,
  "n_2011" VARCHAR  -- 2011,
  "n_2011_1" BIGINT  -- 2011.1,
  "n_2010" VARCHAR  -- 2010,
  "n_2010_1" BIGINT  -- 2010.1,
  "n_2009" VARCHAR  -- 2009,
  "n_2009_1" BIGINT  -- 2009.1,
  "n_2008" VARCHAR  -- 2008,
  "n_2008_1" BIGINT  -- 2008.1,
  "n_2007" VARCHAR  -- 2007,
  "n_2007_1" BIGINT  -- 2007.1,
  "n_2006" VARCHAR  -- 2006,
  "n_2006_1" BIGINT  -- 2006.1
);

Df 8

@kaggle.thedevastator_countries_by_gross_national_income_gni.df_8
  • 6.16 kB
  • 7 rows
  • 3 columns
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CREATE TABLE df_8 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "vtelists_of_countries_by_gdp_rankings" VARCHAR,
  "vtelists_of_countries_by_gdp_rankings_1" VARCHAR
);

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