ABCDEFGHIJKLMNOPQRSTUVWXYZAAABACADAE
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2024Category 1.Category 2.Category 3.Category 4.Category 5.Specific levelAggregation of Items
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Sustainable Social DevelopmentLiving ConditionsDemocracy and FreedomCompetitivenessEnvironmentSocial ValuesLiving Conditions and DemocracyGender Equality
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Total 1-5
Total 1-5 excl. 4a
Specific classes
Class 1a.Class 1b.Class 1c.Class 1d.Class 2a.Class 2b.Class 4a.Class 4b.Class 5a.Class 5b.Aggregation1. + 2a.1b.+1d.1d-.1b-.1d-.1d-.
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1a-d, 2a, 4a-b, 5bMaterial WelfareHealthEducational ResourcesHuman ResourcesDemocracyFreedomNatural EnvironmentSocial EnvironmentRationality and Self-ExpressionLife SatisfactionSelf-Expression and Life SatisfactionHealth, Economic, and Political DomainsEconomic and Political DomainsHealthEconomyPolitical Empowerment
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1Norway0.891 0.893 0.913 0.940.961.000.950.830.981.000.960.720.890.870.920.870.940.820.880.950.900.900.900.960.84
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2Denmark0.858 0.870 0.821 0.800.820.820.950.600.910.850.940.940.790.770.810.890.870.910.890.810.680.580.860.720.44
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3Iceland0.856 0.838 0.923 0.940.850.901.001.000.890.900.880.560.931.000.870.870.840.890.910.930.930.980.860.961.00
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4Sweden0.854 0.848 0.825 0.840.780.920.930.680.940.880.980.790.770.900.650.921.000.860.910.840.780.730.880.940.53
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5Finland0.843 0.844 0.848 0.780.710.730.910.770.940.861.000.740.840.830.840.890.751.000.920.800.760.850.610.940.76
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6Switzerland0.809 0.814 0.759 0.760.920.930.580.650.880.820.920.950.810.770.840.680.790.590.680.770.650.560.810.610.51
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7Netherlands0.767 0.786 0.739 0.790.870.830.800.650.870.780.940.750.650.620.670.780.780.780.790.780.680.520.960.560.48
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8Luxembourg0.744 0.743 0.740 0.691.000.900.490.410.850.720.940.680.810.750.860.660.600.700.680.690.580.470.760.650.31
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9Ireland0.729 0.713 0.719 0.720.690.920.710.530.900.830.940.830.730.850.610.480.320.600.590.740.690.590.870.690.50
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10Australia0.707 0.702 0.670 0.740.840.810.740.590.810.680.900.720.600.740.450.670.700.650.700.730.650.580.780.750.42
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11New Zealand0.691 0.682 0.691 0.770.650.800.830.780.970.940.980.480.530.760.310.660.720.600.690.800.800.750.890.710.79
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12Germany0.684 0.681 0.665 0.720.880.700.690.650.810.720.870.570.630.700.570.650.790.540.640.720.630.590.690.500.68
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United Kingdom
0.665 0.658 0.610 0.680.730.690.740.580.720.580.830.710.590.720.460.640.760.540.640.660.700.600.860.720.49
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14Austria0.662 0.657 0.644 0.680.840.810.630.440.750.580.870.540.670.700.650.630.710.580.630.660.530.430.700.570.29
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15Canada0.652 0.646 0.612 0.610.760.540.610.550.840.690.940.580.570.700.440.650.690.610.650.620.620.560.730.750.38
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16Belgium0.630 0.636 0.591 0.730.810.850.830.440.710.400.920.550.510.590.430.650.620.660.700.680.660.600.770.700.51
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17Slovenia0.567 0.578 0.569 0.570.410.730.580.500.720.430.920.240.610.480.740.610.540.660.550.540.550.570.510.810.36
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18France0.565 0.562 0.541 0.660.730.750.770.400.680.520.790.470.490.580.400.500.600.420.500.640.520.500.570.680.33
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19Estonia0.556 0.563 0.540 0.510.330.350.720.610.730.490.900.370.610.500.720.490.460.520.420.510.460.620.170.890.38
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20Taiwan0.537 0.606 0.438 0.440.790.390.340.340.830.750.880.760.260.000.530.460.520.420.340.500.440.480.380.600.37
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21United States0.525 0.511 0.438 0.511.000.110.680.400.580.460.670.820.320.630.000.490.550.440.520.500.570.520.660.840.23
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Czech Republic
0.520 0.553 0.478 0.480.410.560.630.290.720.490.880.370.400.260.550.600.560.620.510.480.330.210.540.340.08
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23Singapore0.517 0.532 0.522 0.630.950.660.510.450.000.000.001.000.700.401.000.370.270.440.330.520.590.490.770.810.19
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24Portugal0.517 0.493 0.529 0.490.350.570.510.480.720.430.920.270.680.700.670.320.190.420.320.480.530.550.500.770.35
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25Spain0.514 0.496 0.517 0.510.510.610.560.360.690.520.810.230.600.650.550.440.550.360.440.520.580.560.610.640.50
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26Japan0.512 0.539 0.450 0.420.500.890.000.280.790.610.920.280.490.300.680.510.810.270.380.450.270.060.630.120.00
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27Malta0.477 0.439 0.521 0.520.420.740.480.380.640.480.750.310.610.780.450.220.000.400.350.510.450.300.720.370.23
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28Lithuania0.475 0.472 0.445 0.410.360.150.520.630.590.310.790.360.520.500.550.450.400.480.330.400.460.680.090.890.48
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29Korea0.446 0.492 0.385 0.460.470.790.400.140.610.530.670.490.340.090.590.340.510.210.170.470.280.150.500.170.13
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30Israel0.442 0.470 0.438 0.590.440.600.930.320.480.450.500.470.160.220.100.560.360.710.560.560.500.350.760.610.11
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31Italy0.440 0.418 0.429 0.460.570.810.430.020.650.420.810.180.480.610.350.340.420.280.320.450.420.210.770.200.22
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32Latvia0.385 0.363 0.363 0.280.000.000.520.560.590.330.770.130.460.560.370.390.390.380.280.290.440.660.070.900.43
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33Cyprus0.364 0.343 0.344 0.500.500.650.510.300.630.330.850.200.280.520.040.160.120.190.160.470.460.240.850.430.06
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Slovak Republic
0.354 0.345 0.338 0.350.170.280.560.350.570.250.810.010.430.430.420.300.370.250.240.330.390.400.380.660.15
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35Greece0.326 0.285 0.328 0.270.050.540.430.000.640.540.710.080.430.640.220.100.150.060.040.320.350.230.550.370.10
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36Croatia0.277 0.258 0.250 0.300.030.500.330.260.430.090.670.000.430.430.420.130.290.000.100.260.340.340.350.380.29
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Max0.891 0.893 0.923 0.941.001.001.001.000.981.001.001.000.931.001.000.921.001.000.920.950.930.980.960.961.00
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3rd Quartile0.713 0.705 0.698 0.740.840.820.780.620.860.760.930.730.690.750.690.660.760.660.680.730.670.600.820.810.50
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Median0.561 0.571 0.541 0.600.700.730.620.460.720.530.880.520.590.640.550.530.560.540.540.550.560.560.710.680.37
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1st Quartile0.477 0.487 0.438 0.480.420.550.510.350.640.430.790.270.450.490.420.380.390.400.330.480.450.380.530.540.22
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Min0.277 0.258 0.250 0.270.000.000.000.000.000.000.000.000.160.000.000.100.000.000.040.260.270.060.070.120.00
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SD*0.240.180.180.190.230.070.270.180.180.240.19
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Weight21.1%4.2%5.9%5.6%5.3%21.3%8.8%12.5%15.3%23.0%11.4%11.6%19.3%8.6%10.8%
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Updated on Apr 8, 2025
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Revised on Nov 3, 2025
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Specific classes: refers to an alternative presentation of the index, calculated as the weighted average of the following eight class index scores:
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- Class 1a, 1b, 1c, 1d, 2a, 4a, 4b, and 5b
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- The weights for the first four classes are 1, while the weights for the last four classes are 2.
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SD*: the standard deviation of the dataset after removing outliers
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- To detect outlier, the median absolute deviation (MAD) is used.
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- A data point is identified as an outlier if the absolute value of its deviation from the dataset's median exceeds 2.24 times the MAD divided by 0.6745.
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Update: Data for Class 1a were last updated on April 8, 2025.
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Revision: The weight assigned to Class 2b is capped at 12.5%.
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