SSDI 2024 data.xlsx

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T	U	V	W	X	Y	Z	AA
1	2024					Category 1.					Category 2.			Category 3.	Category 4.			Category 5.				Specific level
2			Sustainable Social Development			Living Conditions					Democracy and Freedom			Competitiveness	Environment			Social Values				Living Conditions and Democracy	Gender Equality
3			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.	Aggregation	1. + 2a.	1b.+1d.	1d.	1b.-Health	1d.-Economy	1d.-Politics
4					1a–1d, 2a, 4a–4b, 5b		Material Welfare	Health	Educational Resources	Human Resources		Democracy	Freedom			Natural Environment	Social Environment		Rationality and Self-Expression	Life Satisfaction	Self-Expression and Life Satisfaction		Health, Economic, and Political Domains	Economic and Political Domains	Health	Economy	Political Empowerment

5	1	Norway	0.890	0.892	0.912	0.93	0.96	1.00	0.95	0.83	0.98	1.00	0.96	0.72	0.89	0.87	0.92	0.87	0.94	0.82	0.88	0.95	0.92	0.92	0.92	1.00	0.84
6	2	Denmark	0.859	0.870	0.823	0.80	0.82	0.83	0.94	0.60	0.91	0.85	0.94	0.94	0.79	0.77	0.81	0.89	0.87	0.91	0.89	0.81	0.69	0.57	0.89	0.72	0.44
7	3	Iceland	0.856	0.838	0.923	0.94	0.85	0.91	1.00	1.00	0.89	0.90	0.88	0.56	0.93	1.00	0.87	0.87	0.84	0.89	0.91	0.94	0.94	1.00	0.85	0.99	1.00
8	4	Sweden	0.854	0.848	0.825	0.84	0.78	0.93	0.93	0.68	0.94	0.88	0.98	0.79	0.77	0.90	0.65	0.92	1.00	0.86	0.91	0.85	0.80	0.74	0.89	0.98	0.53
9	5	Finland	0.844	0.846	0.850	0.79	0.71	0.75	0.90	0.77	0.94	0.86	1.00	0.74	0.84	0.83	0.84	0.89	0.75	1.00	0.92	0.80	0.77	0.86	0.61	0.97	0.76
10	6	Switzerland	0.811	0.816	0.763	0.77	0.93	0.95	0.59	0.65	0.88	0.82	0.92	0.95	0.81	0.77	0.84	0.68	0.79	0.59	0.68	0.78	0.66	0.55	0.84	0.58	0.51
11	7	Netherlands	0.765	0.783	0.737	0.77	0.87	0.84	0.75	0.65	0.87	0.78	0.94	0.75	0.65	0.63	0.67	0.78	0.78	0.78	0.79	0.77	0.69	0.50	1.00	0.53	0.48
12	8	Luxembourg	0.745	0.744	0.744	0.69	0.99	0.92	0.52	0.41	0.85	0.72	0.94	0.68	0.81	0.76	0.86	0.66	0.60	0.70	0.68	0.70	0.58	0.46	0.78	0.63	0.31
13	9	Ireland	0.724	0.707	0.713	0.70	0.68	0.88	0.67	0.53	0.90	0.83	0.94	0.83	0.73	0.86	0.61	0.48	0.32	0.60	0.59	0.72	0.69	0.58	0.87	0.67	0.50
14	10	Australia	0.707	0.702	0.672	0.75	0.83	0.83	0.76	0.59	0.81	0.68	0.90	0.72	0.60	0.75	0.45	0.67	0.70	0.65	0.70	0.73	0.66	0.58	0.80	0.75	0.42
15	11	New Zealand	0.689	0.680	0.689	0.77	0.65	0.77	0.83	0.78	0.97	0.94	0.98	0.48	0.53	0.76	0.31	0.66	0.72	0.60	0.69	0.80	0.81	0.75	0.90	0.70	0.79
16	12	Germany	0.683	0.680	0.666	0.72	0.88	0.71	0.67	0.65	0.81	0.72	0.87	0.57	0.63	0.70	0.57	0.65	0.79	0.54	0.64	0.72	0.62	0.57	0.71	0.45	0.68
17	13	Austria	0.662	0.657	0.646	0.68	0.85	0.83	0.63	0.44	0.75	0.58	0.87	0.54	0.68	0.70	0.65	0.63	0.71	0.58	0.63	0.66	0.51	0.41	0.67	0.54	0.29
18	14	United Kingdom	0.660	0.652	0.603	0.66	0.74	0.64	0.70	0.58	0.72	0.58	0.83	0.71	0.59	0.72	0.46	0.64	0.76	0.54	0.64	0.64	0.69	0.60	0.84	0.71	0.49
19	15	Canada	0.652	0.647	0.614	0.61	0.75	0.55	0.63	0.55	0.84	0.69	0.94	0.58	0.57	0.70	0.44	0.65	0.69	0.61	0.65	0.62	0.63	0.56	0.74	0.76	0.38
20	16	Belgium	0.630	0.636	0.594	0.74	0.81	0.86	0.84	0.44	0.71	0.40	0.92	0.55	0.51	0.59	0.43	0.65	0.62	0.66	0.70	0.68	0.67	0.59	0.80	0.69	0.51
21	17	Slovenia	0.568	0.579	0.571	0.57	0.40	0.74	0.59	0.50	0.72	0.43	0.92	0.24	0.61	0.48	0.74	0.61	0.54	0.66	0.55	0.55	0.55	0.58	0.50	0.82	0.36
22	18	France	0.562	0.559	0.540	0.66	0.73	0.75	0.75	0.40	0.68	0.52	0.79	0.47	0.49	0.58	0.40	0.50	0.60	0.42	0.50	0.63	0.52	0.49	0.56	0.66	0.33
23	19	Estonia	0.556	0.563	0.538	0.51	0.33	0.35	0.71	0.61	0.73	0.49	0.90	0.37	0.61	0.50	0.72	0.49	0.46	0.52	0.42	0.51	0.44	0.63	0.13	0.91	0.38
24	20	Taiwan	0.536	0.605	0.437	0.43	0.78	0.41	0.32	0.34	0.83	0.75	0.88	0.76	0.27	0.00	0.53	0.46	0.52	0.42	0.34	0.49	0.42	0.46	0.36	0.57	0.37
25	21	United States	0.523	0.509	0.439	0.51	1.00	0.13	0.67	0.40	0.58	0.46	0.67	0.82	0.31	0.63	0.00	0.49	0.55	0.44	0.52	0.50	0.58	0.53	0.67	0.86	0.23
26	22	Portugal	0.519	0.495	0.532	0.50	0.35	0.59	0.52	0.48	0.72	0.43	0.92	0.27	0.69	0.70	0.67	0.32	0.19	0.42	0.32	0.49	0.53	0.55	0.50	0.78	0.35
27	23	Czech Republic	0.517	0.551	0.473	0.47	0.40	0.56	0.58	0.29	0.72	0.49	0.88	0.37	0.40	0.25	0.55	0.60	0.56	0.62	0.51	0.47	0.31	0.17	0.53	0.26	0.08
28	24	Spain	0.513	0.496	0.517	0.51	0.51	0.63	0.54	0.36	0.69	0.52	0.81	0.23	0.60	0.65	0.55	0.44	0.55	0.36	0.44	0.52	0.58	0.55	0.62	0.62	0.50
29	25	Singapore	0.513	0.528	0.518	0.61	0.94	0.65	0.49	0.45	0.00	0.00	0.00	1.00	0.70	0.40	1.00	0.37	0.27	0.44	0.33	0.50	0.58	0.49	0.73	0.82	0.19
30	26	Japan	0.512	0.540	0.450	0.42	0.49	0.89	0.00	0.28	0.79	0.61	0.92	0.28	0.49	0.30	0.68	0.51	0.81	0.27	0.38	0.46	0.24	0.00	0.63	0.00	0.00
31	27	Lithuania	0.475	0.472	0.444	0.41	0.35	0.16	0.51	0.63	0.59	0.31	0.79	0.36	0.53	0.50	0.55	0.45	0.40	0.48	0.33	0.39	0.45	0.69	0.05	0.92	0.48
32	28	Malta	0.471	0.432	0.514	0.49	0.45	0.68	0.43	0.38	0.64	0.48	0.75	0.31	0.61	0.77	0.45	0.22	0.00	0.40	0.35	0.49	0.45	0.26	0.76	0.30	0.23
33	29	Korea	0.448	0.494	0.388	0.46	0.48	0.80	0.41	0.14	0.61	0.53	0.67	0.49	0.34	0.09	0.59	0.34	0.51	0.21	0.17	0.48	0.25	0.10	0.51	0.06	0.13
34	30	Israel	0.441	0.470	0.439	0.59	0.44	0.63	0.93	0.32	0.48	0.45	0.50	0.47	0.16	0.22	0.10	0.56	0.36	0.71	0.56	0.57	0.49	0.33	0.75	0.58	0.11
35	31	Italy	0.436	0.413	0.425	0.45	0.57	0.81	0.39	0.02	0.64	0.42	0.81	0.18	0.48	0.61	0.35	0.34	0.42	0.28	0.32	0.44	0.39	0.16	0.78	0.09	0.22
36	32	Latvia	0.391	0.368	0.369	0.30	0.00	0.00	0.58	0.56	0.59	0.33	0.77	0.13	0.47	0.57	0.37	0.39	0.39	0.38	0.28	0.31	0.42	0.67	0.00	0.93	0.43
37	33	Cyprus	0.355	0.333	0.333	0.46	0.46	0.57	0.49	0.30	0.63	0.33	0.85	0.20	0.28	0.53	0.04	0.16	0.12	0.19	0.16	0.44	0.44	0.21	0.81	0.37	0.06
38	34	Slovak Republic	0.353	0.343	0.336	0.35	0.16	0.29	0.53	0.35	0.57	0.25	0.81	0.01	0.43	0.43	0.42	0.30	0.37	0.25	0.24	0.33	0.37	0.38	0.36	0.65	0.15
39	35	Greece	0.320	0.278	0.318	0.25	0.05	0.56	0.29	0.00	0.64	0.54	0.71	0.08	0.43	0.64	0.22	0.10	0.15	0.06	0.04	0.30	0.33	0.20	0.55	0.30	0.10
40	36	Croatia	0.275	0.256	0.246	0.29	0.03	0.45	0.34	0.26	0.43	0.09	0.67	0.00	0.43	0.43	0.42	0.13	0.29	0.00	0.10	0.26	0.36	0.30	0.46	0.31	0.29
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42		Weight				20.5%	3.8%	5.9%	5.5%	5.4%	21.4%	8.9%	12.5%	15.4%	23.1%	11.5%	11.7%	19.5%	8.7%	10.9%
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45		Updated on Dec 10, 2025
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48		Specific classes: refers to an alternative presentation of the index, calculated as the weighted average of the following eight class index scores:
49		- Class 1a, 1b, 1c, 1d, 2a, 4a, 4b, and 5b
50		- The first four classes are assigned weights of 1/12 each, whereas the last four are assigned weights of 1/6 each.
51		SD*: the standard deviation of the dataset after removing outliers
52		- To detect outlier, the median absolute deviation (MAD) is used.
53		- 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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