Countries by Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)

Singapore leads 189 countries with a Pillar 4 data sources score of 95.88 out of 100, while South Sudan sits at the bottom with a score of 9.74. The 86-point gap between first and last reflects the wide disparity in how countries generate and access statistical data from censuses, administrative systems, geospatial sources, and private or citizen-generated inputs.

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Ranking 2024

Countries by Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)
Rank	Country	Value
1	Singapore	95.88
2	Poland	94.33
3	Spain	92.1
4	Canada	91.28
5	Denmark	89.67
6	Mexico	89.3
7	Sweden	88.72
8	Italy	88.15
8	Norway	88.15
10	Romania	87.17
11	Finland	87.1
12	United States	86.92
13	Malta	86.53
14	Germany	86.1
15	Portugal	85.6
16	Australia	84.45
17	Saudi Arabia	84.38
18	Brazil	84.28
19	Estonia	84.2
19	Switzerland	84.2
21	Hungary	84.13
21	Israel	84.13
23	Slovenia	83.88
24	Japan	83.38
25	Colombia	82.5
26	Chile	81.28
27	Netherlands	81.25
28	Costa Rica	81.17
29	Georgia	81.1
30	Mongolia	80.96
31	Bulgaria	80.75
32	New Zealand	80.67
33	Lithuania	80.5
34	North Macedonia	80.4
35	Austria	80.25
36	Belgium	80.17
37	Kazakhstan	80.16
37	Malaysia	80.16
39	Greece	79.92
40	Slovakia	79.6
41	South Korea	79.03
42	Ireland	78.53
43	Czechia	78.45
44	France	77.88
44	Iceland	77.88
46	United Kingdom	77.63
47	Belarus	77.1
48	Latvia	76.8
49	Croatia	75.95
50	Cyprus	74.75
51	Albania	74.6
52	Panama	74.48
53	Luxembourg	74.22
54	India	74.18
55	Egypt	73.33
56	Palestine	73.2
57	Argentina	72.92
58	Türkiye	71.99
59	Philippines	71.98
60	Armenia	71.93
61	Jordan	71.7
62	South Africa	71.25
63	Kyrgyzstan	70.87
64	Belize	70.22
65	Iran	69.9
66	Serbia	69.88
67	Uruguay	69.53
68	Guatemala	69.47
69	United Arab Emirates	68.74
70	Montenegro	68.71
71	Uzbekistan	68.21
72	Moldova	67.91
73	Cabo Verde	67.9
74	Thailand	67.53
75	Mauritius	67.33
76	Botswana	67.25
77	Bangladesh	66.67
78	Azerbaijan	66.33
79	Russia	65.08
80	Sri Lanka	64.07
81	Bahrain	63.94
82	Oman	63.66
83	Peru	63.26
84	Tunisia	63.21
85	Paraguay	62.7
86	Maldives	62.37
87	Kuwait	62.32
88	Morocco	61.87
89	Qatar	61.19
90	Tonga	60.7
91	Bolivia	60.19
92	Ecuador	60.02
93	Tajikistan	59.86
94	Jamaica	59.21
95	Indonesia	58.73
96	Ukraine	58.28
97	Suriname	58.02
98	Seychelles	58
99	Andorra	57.64
100	Senegal	57.63
101	Ghana	56.76
102	El Salvador	56.44
103	Rwanda	56.33
104	Fiji	55.95
105	Palau	55.84
106	Saint Lucia	54.38
107	Lesotho	53.7
108	Bosnia and Herzegovina	53.42
109	Brunei	53.39
110	Antigua and Barbuda	53.22
111	Tanzania	52.95
112	Barbados	52.49
113	Myanmar	52.01
114	Samoa	50.64
115	Nauru	50.54
116	Pakistan	50.51
117	Malawi	49.38
118	Benin	49.31
119	Burkina Faso	49.23
120	Sao Tome and Principe	48.59
121	Angola	48.58
122	Gambia	48.31
122	Saint Vincent and the Grenadines	48.31
124	Vietnam	48.23
125	Lebanon	48.13
126	Bhutan	47.75
127	Cambodia	46.58
128	Nepal	46.5
129	Dominican Republic	46.17
130	Kosovo	45.91
131	Grenada	45.88
132	Mozambique	45.78
133	Kenya	45.25
134	Uganda	45.11
135	Laos	44.42
136	Algeria	44.3
137	Liberia	44.05
138	Togo	43.58
139	Saint Kitts and Nevis	43.56
140	Vanuatu	43.48
141	Côte d'Ivoire	43.38
142	Mali	43.33
143	Timor-Leste	42.79
144	Zambia	42.28
145	Trinidad and Tobago	41.71
146	Sierra Leone	41.69
147	Niger	40.77
148	China	40.7
149	Dominica	40.46
150	Cameroon	39.83
151	Zimbabwe	39.8
152	Nigeria	39.76
153	Nicaragua	37.88
154	Madagascar	37.25
155	Namibia	37.23
156	Iraq	37.13
157	Bahamas	36.97
158	Honduras	36.95
159	Marshall Islands	36.1
160	Guinea	34.72
161	Ethiopia	34.34
162	Guyana	33.71
163	Kiribati	31.92
164	Eswatini	31.17
165	Venezuela	30.57
166	Gabon	29.78
167	Tuvalu	28.64
168	Solomon Islands	26.47
169	Comoros	25.98
170	Equatorial Guinea	25.69
171	Mauritania	25.54
172	Chad	24.74
173	DR Congo	24.35
174	Republic of Congo	23.85
175	Micronesia	22.1
176	Afghanistan	20.68
177	Yemen	20.52
178	Guinea-Bissau	19.92
179	Sudan	18.77
180	Burundi	18.72
181	Haiti	17.54
182	Somalia	16.73
183	Djibouti	16.57
184	Papua New Guinea	14.47
185	Turkmenistan	13.91
186	Syria	11.17
187	Libya	10.67
188	Central African Republic	10.1
189	South Sudan	9.74

Analysis

This metric measures the availability and breadth of data sources underpinning national statistical systems. The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere. Scores run from 0 to 100, where higher values indicate broader data source coverage. The 2024 dataset covers 189 countries, with 100% of data points classified as official and all 189 observations drawn from within the last seven years. No extreme outliers were identified using a 3-standard-deviation threshold, and average year-over-year change stands at 6.5%, indicating moderate but not erratic movement across the ranking.

The top of the ranking is dominated by high-income economies with established statistical infrastructure. Singapore ranks first at 95.88, followed by Poland at 94.33 and Spain at 92.10. Canada (91.28), Denmark (89.68), Mexico (89.30), Sweden (88.73), Italy (88.15), and Norway (88.15) round out the top ten. Romania at rank 10 with 87.18 and Finland at rank 11 with 87.10 show that several Central and Eastern European countries perform at levels comparable to Western Europe. Saudi Arabia at rank 17 with 84.38 and Brazil at rank 18 with 84.28 indicate that strong scores are not confined to European or Anglophone contexts.

The middle of the ranking shows considerable spread. Colombia (rank 25, 82.50), Georgia (rank 29, 81.10), and Mongolia (rank 30, 80.96) sit above several larger Western economies. Notably, France ranks 44th at 77.88 and the United Kingdom ranks 46th at 77.63, below smaller economies such as Romania and Estonia. China ranks 148th at 40.70, placing it below Niger (rank 147, 40.77) and well below regional peers such as Mongolia (rank 30) and Kazakhstan (rank 37). At the lower end, countries including Papua New Guinea (rank 184, 14.47), Turkmenistan (rank 185, 13.91), Syria (rank 186, 11.17), Libya (rank 187, 10.67), and Central African Republic (rank 188, 10.10) score below 15, indicating very limited data source coverage across the four measured categories.

The composite nature of this metric means a country may score moderately overall while having significant gaps in specific sub-components such as geospatial data or private-sector sources. The ranking reflects data availability as assessed through the SPI framework and does not directly measure data quality, accuracy, or timeliness within those sources. Countries with limited reporting capacity may have scores that reflect incomplete submissions rather than a true absence of data activity. The range from 9.74 to 95.88 represents an 884% spread across the 189 countries, which limits meaningful comparison between countries at opposite ends of the distribution.

Methodology

The metric uses indicator code IQ.SPI.PIL4 from the World Bank World Development Indicators, with a data year of 2024. The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere. Scores are expressed on a 0-to-100 absolute scale where higher values indicate better performance. The dataset covers 189 countries, exceeding the 80-country coverage threshold. All 189 observations (100%) are classified as official-quality data, and all fall within the last seven years. No extreme outliers were detected at the 3-standard-deviation level. The average year-over-year change is 6.5%, well within the 50% volatility threshold. The data range spans 9.74 to 95.88, a spread of approximately 884%. Microstates under one million population account for 0% of the dataset.

Sources

World Bank