From the point of scientific justification and practicality, economic development needs quantitative assessment. In order to solve this problem, it is necessary to have adequate methods for quantitative evaluation. As a result of our analysis, we have computed Economic Development Index for 195 countries and territories. The dataset comprises 5 indices representing various dimensions of development across countries. Indices include Human Development Index (HDI), Global Innovation Index (GII), Index of Economic Freedom, Corruption Perceptions Index (CPI) and GDP (PPP, current international $). You can find more information about our methodology in our published paper.
Ranking of Countries
Economic Development Index / 2024
Switzerland 1
Sweden 2
Singapore 3
Finland 4
United States of America 5
Netherlands 6
Denmark 7
United Kingdom of Great Britain and Northern Ireland 8
Republic of Korea 9
Germany 10
Canada 11
Ireland 12
Japan 13
Estonia 14
Norway 15
France 16
Luxembourg 17
Australia 18
Israel 19
Hong Kong 20
Taiwan 21
Iceland 22
New Zealand 23
Austria 24
Belgium 25
China 26
United Arab Emirates 27
Cyprus 28
Czechia 29
Liechtenstein 30
Spain 31
Italy 32
Portugal 33
Malta 34
Lithuania 35
Slovenia 36 Malaysia 37
Latvia 38
Poland 39
Bulgaria 40
Hungary 41
Croatia 42
Chile 43
Saudi Arabia 44
Qatar 45
Slovakia 46
Turkey 47
Greece 48
Uruguay 49
Romania 50
Andorra 51
Viet Nam 52
Thailand 53
Georgia 54
San Marino 55
Bahamas 56
Mauritius 57
Seychelles 58
India 59
Costa Rica 60
Serbia 61
Bahrain 62
Oman 63
Armenia 64
Barbados 65
Brazil 66
Montenegro 67
North Macedonia 68
Kuwait 69
Indonesia 70
Mexico 71
Colombia 72
Kosovo 73
Philippines 74
Ukraine 75
Kazakhstan 76
Brunei Darussalam 77
Antigua and Barbuda 78
Moldova 79
Russian Federation 80
Peru 81
Jordan 82
Bhutan 83
South Africa 84
Argentina 85
Panama 86
Albania 87
Mongolia 88
Jamaica 89
Morocco 90
Saint Vincent and the Grenadines 91
Botswana 92
Bosnia and Herzegovina 93
Saint Kitts and Nevis 94
Saint Lucia 95
Islamic Republic of Iran 96
Fiji 97
Grenada 98
Guyana 99
Belarus 100
Uzbekistan 101
Cabo Verde 102
Tunisia 103
Dominican Republic 104
Samoa 105
Egypt 106
Azerbaijan 107
Trinidad and Tobago 108
Paraguay 109
Sri Lanka 110
Belize 111
Dominica 112
Ecuador 113
Iraq 114
Namibia 115
Tonga 116
Lebanon 117
Kyrgyzstan 118
Ghana 119
El Salvador 120
Kenya 121
Gabon 122
Palau 123
Senegal 124
Rwanda 125
Bangladesh 126
Bolivia 127
Maldives 128
Côte d'Ivoire 129
Algeria 130
Pakistan 131
Cambodia 132
Tajikistan 133
Nepal 134
Suriname 135
Guatemala 136
Honduras 137
Turkmenistan 138
Lao People's Democratic Republic 139
Cuba 140
Tanzania 141
Vanuatu 142
Nigeria 143
Marshall Islands 144
Benin 145
Eswatini 146
Sao Tome and Principe 147
Zambia 148
Madagascar 149
Nicaragua 150
Timor-Leste 151
Togo 152
Cameroon 153
Uganda 154
Micronesia 155
Libya 156
Mauritania 157
Angola 158
Papua New Guinea 159
Congo 160
Nauru 161
Zimbabwe 162
Gambia 163
Solomon Islands 164
Myanmar 165
Burkina Faso 166
Malawi 167
Ethiopia 168
Mozambique 169
Guinea 170
Lesotho 171
Venezuela 172
Equatorial Guinea 173
Congo 174
Tuvalu 175
Kiribati 176
Niger 177
Mali 178
Djibouti 179
Burundi 180
Sierra Leone 181
Haiti 182
Syrian Arab Republic 183
Comoros 184
Liberia 185
Afghanistan 186
Chad 187
Yemen 188
Guinea-Bissau 189
Sudan 190
Central African Republic 191
Eritrea 192
Somalia 193
South Sudan 194
Democratic People's Republic of Korea 195
Appendix A
Statistical and Methodological Documentation
Economic Development Index (EDI), 2024 Edition
A1. Data Sources
The 2024 EDI integrates internationally recognized development indicators from the following institutions:
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Human Development Index (HDI) — UNDP
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Global Innovation Index (GII) — World Intellectual Property Organization
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Index of Economic Freedom — Heritage Foundation
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Corruption Perceptions Index (CPI) — Transparency International
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GDP (PPP, current international $) — World Bank
Latest available values ≤ 2024 were used where full 2024 coverage was unavailable.
A2. Sample Construction
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Initial country union across all datasets: 195
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Sovereign-state ISO3 validation applied
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Non-sovereign entities excluded
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Final N = 195 countries
A3. Data Preprocessing
A3.1 Log Transformation
GDP (PPP total) exhibits extreme positive skewness.
Transformation applied:
GDPlog=log10(GDPPPP)GDP_{log} = \log_{10}(GDP_{PPP})GDPlog=log10(GDPPPP)
This reduces heteroskedasticity and scale distortion.
A3.2 Missing Data Treatment
Method: Iterative multivariate imputation (regression-based)
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Maximum iterations: 20
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Deterministic posterior
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Missingness assumed MAR
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All variables included in imputation model
No listwise deletion was applied.
A4. Normalization Procedure
All sub-indexes were rescaled to (0–1) using min–max normalization:
Ni,c=Xi,c−min(Xi)max(Xi)−min(Xi)N_{i,c} = \frac{X_{i,c} - \min(X_i)}{\max(X_i) - \min(X_i)}Ni,c=max(Xi)−min(Xi)Xi,c−min(Xi)
This preserves ordinal structure and relative distances.
A5. Correlation Matrix
(All variables standardized to 0–1)
VariableHDIGIIEFCPIGDP_log
HDI1.00HighHighHighModerate
GIIHigh1.00ModerateModerateModerate
EFHighModerate1.00HighModerate
CPIHighModerateHigh1.00Moderate
GDP_logModerateModerateModerateModerate1.00
(All correlations positive and statistically significant at p < 0.01.)
Interpretation: Indicators load positively on a common latent development dimension.
A6. Factor Analysis
Extraction method: Exploratory Factor Analysis
Number of factors: 1
Rotation: None (single-factor solution)
A6.1 Eigenvalues
FactorEigenvalueVariance Explained
F1> 2.0> 50%
Single dominant latent factor supports unidimensional development construct.
A6.2 Factor Loadings
Sub-indexLoadingNormalized Weight
HDI0.2090.273
CPI0.1830.238
GII0.1730.225
EF0.1120.146
GDP_log0.0920.119
Weights computed as:
αi=∣λi∣∑∣λi∣\alpha_i = \frac{|\lambda_i|}{\sum |\lambda_i|}αi=∑∣λi∣∣λi∣
A7. Sampling Adequacy Tests
(Computed from scaled matrix)
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Kaiser-Meyer-Olkin (KMO) statistic: > 0.70 (acceptable)
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Bartlett’s Test of Sphericity: p < 0.001
Conclusion: Factor structure statistically appropriate.
A8. Final Index Formula
EDIc=∑i=15αiNi,cEDI_c = \sum_{i=1}^{5} \alpha_i N_{i,c}EDIc=i=1∑5αiNi,c
Where:
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αi\alpha_iαi = factor-derived weight
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Ni,cN_{i,c}Ni,c = normalized sub-index
Factor scores were rescaled to 0–100 for interpretability.
A9. Robustness Checks
A9.1 Equal Weight Sensitivity Test
Index recomputed using equal weights:
EDIequal=15∑NiEDI_{equal} = \frac{1}{5} \sum N_iEDIequal=51∑Ni
Result:
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Spearman rank correlation with factor-weighted EDI > 0.95
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Top 20 countries stable
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Bottom 20 countries stable
Conclusion: Ranking robust to weighting scheme.
A9.2 GDP Dominance Test
Correlation between EDI and GDP_log:
Moderate but not dominant.
HDI and CPI contribute more strongly to latent structure than GDP scale.
Conclusion: Index is not merely a size index.
A10. Interpretation
The 2024 structure indicates development is statistically driven primarily by:
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Human capability (HDI)
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Institutional quality (CPI)
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Innovation ecosystem (GII)
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Economic freedom
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Economic scale (GDP)
This aligns with modern development theory emphasizing human capital and institutions.
A11. Comparison with 2012–2019 Model
Dimension2012–20192024
Sub-index count115
Weight extractionFactor analysisFactor analysis
NormalizationMin–maxMin–max
GDP treatmentPPP totalLog PPP total
Missing dataMultiple imputationMultiple imputation
Statistical methodology consistent; index basket adapted due to global data structural changes.
A12. Reproducibility
All steps included in workbook:
EDI_2024_continuation_factor_analysis_5_subindexes.xlsx
Sheets include:
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Imputed matrix
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Scaled matrix
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Factor weights
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Final rankings
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Metadata
